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+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMQOcke01jKJOkaZRZ8Gq51"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"muMSK3Vd74_Z","executionInfo":{"status":"ok","timestamp":1745468820655,"user_tz":-330,"elapsed":1876,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}}},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","from sklearn.preprocessing import MinMaxScaler\n","import joblib\n","from datetime import datetime, timedelta\n","import pytz\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from scipy import stats"]},{"cell_type":"code","source":["# Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')\n","\n","# Set timezone for date handling\n","# ist = pytz.timezone('Asia/Kolkata')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2JnR131F8BgF","executionInfo":{"status":"ok","timestamp":1745468845587,"user_tz":-330,"elapsed":22411,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"8b4592d1-0ef8-41bd-bc03-39f22660152d"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["# Load dataset\n","df = pd.read_csv('/content/drive/MyDrive/Crypto-data-v2/Solana_Price_data.csv')\n","\n","# Convert to datetime with correct timezone\n","# df['date'] = pd.to_datetime(df['date'], dayfirst=True).dt.tz_localize(ist)\n","df['date'] = pd.to_datetime(df['date'], dayfirst=True)\n","\n","# Sort chronologically\n","df = df.sort_values('date').reset_index(drop=True)\n","df['Volume'] = df['Volume'].astype(float)\n","\n"],"metadata":{"id":"Bg6EEff58FF0"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","# Save raw version\n","df.to_csv('/content/drive/MyDrive/Crypto-data-v2/1_raw_data.csv', index=False)"],"metadata":{"id":"_4vf3sO_cRAM"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 1.2 Verify data types\n","print(\"Data Types:\")\n","print(df.dtypes)\n","print(\"\\n\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8MYi_7LlMJRm","executionInfo":{"status":"ok","timestamp":1745208434161,"user_tz":-330,"elapsed":11,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"51a96d61-87ff-419c-94a6-4e4f53a27521"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Data Types:\n","date      datetime64[ns]\n","Open             float64\n","High             float64\n","Low              float64\n","Close            float64\n","Volume           float64\n","dtype: object\n","\n","\n"]}]},{"cell_type":"code","source":["print(\"Time Period Coverage:\")\n","print(f\"Start Date: {df['date'].min()}\")\n","print(f\"End Date: {df['date'].max()}\")\n","print(f\"Total Days: {df.shape[0]}\")\n","print(f\"Expected Days: {pd.to_datetime(df['date'].max()) - pd.to_datetime(df['date'].min())}\")\n","print(\"\\n\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lRWD1vZyMMsR","executionInfo":{"status":"ok","timestamp":1745208436316,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"25f8d803-f21e-4f1b-8855-18b4890c8c9f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Time Period Coverage:\n","Start Date: 2021-01-01 00:00:00\n","End Date: 2025-04-15 00:00:00\n","Total Days: 1566\n","Expected Days: 1565 days 00:00:00\n","\n","\n"]}]},{"cell_type":"code","source":["# 1.4 Examine basic statistics\n","print(\"Basic Statistics:\")\n","print(df.describe())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"G-B5BipcMTY4","executionInfo":{"status":"ok","timestamp":1745208473467,"user_tz":-330,"elapsed":48,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"bf9568db-7cad-4682-a853-68d472bf62f9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Basic Statistics:\n","                                date         Open         High          Low  \\\n","count                           1566  1566.000000  1566.000000  1566.000000   \n","mean   2023-02-22 11:59:59.999999744    86.679205    90.334138    82.992892   \n","min              2021-01-01 00:00:00     1.510000     1.865000     1.495000   \n","25%              2022-01-27 06:00:00    23.970000    24.932500    22.935000   \n","50%              2023-02-22 12:00:00    56.845000    59.470000    53.790000   \n","75%              2024-03-19 18:00:00   144.467500   149.702500   139.587500   \n","max              2025-04-15 00:00:00   261.970000   295.830000   252.690000   \n","std                              NaN    69.515905    72.111304    66.729900   \n","\n","             Close        Volume  \n","count  1566.000000  1.566000e+03  \n","mean     86.759976  2.078157e+09  \n","min       1.799000  2.572255e+07  \n","25%      23.980000  5.006599e+08  \n","50%      56.940000  1.479582e+09  \n","75%     144.467500  2.808882e+09  \n","max     261.970000  3.317296e+10  \n","std      69.490742  2.337443e+09  \n"]}]},{"cell_type":"code","source":["print(\"\\nData Sample:\")\n","print(df.head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jxOBwyMXMblY","executionInfo":{"status":"ok","timestamp":1745209120098,"user_tz":-330,"elapsed":49,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"cc27c073-8709-48fd-bef0-ed9554239716"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Data Sample:\n","        date   Open   High    Low  Close      Volume\n","0 2021-01-01  1.510  1.865  1.495  1.847  25722549.0\n","1 2021-01-02  1.847  2.012  1.752  1.799  31671064.0\n","2 2021-01-03  1.799  2.808  2.007  2.185  55073422.0\n","3 2021-01-04  2.185  2.573  2.066  2.491  59955405.0\n","4 2021-01-05  2.491  2.634  2.145  2.158  50555207.0\n"]}]},{"cell_type":"code","source":["# 1.6 Check for any initial NULL values\n","print(\"\\nMissing Values:\")\n","print(df.isnull().sum())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hRlsfam4Md9o","executionInfo":{"status":"ok","timestamp":1745209123115,"user_tz":-330,"elapsed":4,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"48188ebd-90e5-4c7d-dcf0-a6e1d79b4e60"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Missing Values:\n","date      0\n","Open      0\n","High      0\n","Low       0\n","Close     0\n","Volume    0\n","dtype: int64\n"]}]},{"cell_type":"code","source":["\n","\n","# 1.7 Visualize the closing price over time to get an initial understanding\n","plt.figure(figsize=(14, 7))\n","plt.plot(df['date'], df['Close'])\n","plt.title('Solana Closing Price Over Time')\n","plt.xlabel('Date')\n","plt.ylabel('Price (USD)')\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":691},"id":"jClBQkd6MjeP","executionInfo":{"status":"ok","timestamp":1745209127381,"user_tz":-330,"elapsed":814,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"cf1515bf-517e-4b8b-9e91-2b63b472317d"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 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1.8 Check the distribution of closing prices\n","plt.figure(figsize=(10, 6))\n","sns.histplot(df['Close'], kde=True)\n","plt.title('Distribution of Solana Closing Prices')\n","plt.xlabel('Closing Price (USD)')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"uW1DP2cOMl78","executionInfo":{"status":"ok","timestamp":1745209131750,"user_tz":-330,"elapsed":286,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f284c7c5-04a0-45c5-8fe7-555b7e6a44cb"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA1IAAAIjCAYAAAAJLyrXAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAj+dJREFUeJzs3XeYVOX9/vF7ys5s773Tlw4iwooUAUFE1EgSewuWKPqNmhh/JHaTEEssUWKaEY2iRqOiROkCKqAU6b3usr33OnN+fyw7ulIXdvdseb+uay6dc86c8xkYYO59nudzLIZhGAIAAAAAnDar2QUAAAAAQEdDkAIAAACAZiJIAQAAAEAzEaQAAAAAoJkIUgAAAADQTAQpAAAAAGgmghQAAAAANBNBCgAAAACaiSAFAAAAAM1EkALQpTz22GOyWCxtcq1x48Zp3LhxnucrVqyQxWLR+++/3ybXv/nmm5WcnNwm1zpT5eXluvXWWxUdHS2LxaJ77723za7d+PuxYsWKNrtmazp06JAsFovmzp3bKufvCJ+nk7FYLHrsscfMLgNAJ0KQAtBhzZ07VxaLxfPw9vZWbGysJk+erD//+c8qKytrketkZmbqscce06ZNm1rkfC2pPdd2Ov7whz9o7ty5uvPOO/Xvf/9bN9xwwwmPra2t1YsvvqihQ4cqMDBQwcHB6t+/v26//Xbt2rWrDatueytWrNCVV16p6OhoORwORUZGatq0afrggw/MLq1NjBs3rsmf9dDQUA0fPlz/+te/5Ha7zS4PQBdlN7sAADhbTzzxhLp166a6ujplZ2drxYoVuvfee/Xcc8/p448/1qBBgzzHPvTQQ/p//+//Nev8mZmZevzxx5WcnKwhQ4ac9usWL17crOuciZPV9o9//KPdf8lcvny5Ro4cqUcfffSUx06fPl2fffaZrrnmGt12222qq6vTrl27tGDBAp1//vlKSUlpg4rb3qOPPqonnnhCvXr10h133KGkpCQVFBTo008/1fTp0/XWW2/p2muvbfU6zP48xcfHa/bs2ZKkvLw8vfHGG5oxY4b27NmjP/7xj6d8fVVVlex2vvYAaDn8jQKgw5syZYrOPfdcz/NZs2Zp+fLluvTSS3XZZZdp586d8vHxkSTZ7fZW/zJVWVkpX19fORyOVr3OqXh5eZl6/dORm5urfv36nfK4devWacGCBfr973+v3/zmN032vfzyyyouLm6lCs31/vvv64knntCPf/xjzZs3r8nv6QMPPKBFixaprq6uTWox+/MUFBSk66+/3vP8jjvuUJ8+ffTyyy/rySefPG59brdbtbW18vb2lre3d1uWC6ALYGofgE5p/Pjxevjhh3X48GG9+eabnu3HWyO1ZMkSXXDBBQoODpa/v7/69Onj+bK+YsUKDR8+XJJ0yy23eKYWNa5DGTdunAYMGKANGzZozJgx8vX19bz2h2ukGrlcLv3mN79RdHS0/Pz8dNlllyk9Pb3JMcnJybr55puPee33z3mq2o63pqWiokK//OUvlZCQIKfTqT59+ujZZ5+VYRhNjrNYLLr77rv10UcfacCAAXI6nerfv78WLlx4/F/wH8jNzdWMGTMUFRUlb29vDR48WK+//rpnf+P6pIMHD+p///ufp/ZDhw4d93z79++XJI0aNeqYfTabTWFhYU22ffvtt5oyZYoCAwPl7++vCRMmaO3ataes+4svvtBPfvITJSYmyul0KiEhQffdd5+qqqqaHHfzzTfL399fGRkZuuKKK+Tv76+IiAj96le/ksvlanLss88+q/PPP19hYWHy8fHRsGHDTnud3MMPP6zQ0FD961//Om5QmDx5si699NKTnmP58uUaPXq0/Pz8FBwcrMsvv1w7d+5sckxZWZnuvfdeJScny+l0KjIyUhdddJE2btzY5D1///PUuCbr2Wef1d///nf16NFDTqdTw4cP17p1646p47333lO/fv3k7e2tAQMG6MMPPzyrdVe+vr4aOXKkKioqlJeXJ+m7z+1bb72l/v37y+l0ej6zx1sjlZGRoRkzZig2NlZOp1PdunXTnXfeqdraWs8xxcXFuvfeez1/Znr27KmnnnrqmNG5d955R8OGDVNAQIACAwM1cOBAvfjii2f03gB0DIxIAei0brjhBv3mN7/R4sWLddtttx33mO3bt+vSSy/VoEGD9MQTT8jpdGrfvn366quvJEl9+/bVE088oUceeUS33367Ro8eLUk6//zzPecoKCjQlClTdPXVV+v6669XVFTUSev6/e9/L4vFogcffFC5ubl64YUXNHHiRG3atMkzcnY6Tqe27zMMQ5dddpk+//xzzZgxQ0OGDNGiRYv0wAMPKCMjQ88//3yT47/88kt98MEHuuuuuxQQEKA///nPmj59utLS0o4JLt9XVVWlcePGad++fbr77rvVrVs3vffee7r55ptVXFysX/ziF+rbt6/+/e9/67777lN8fLx++ctfSpIiIiKOe86kpCRJ0ltvvaVRo0addFRx+/btGj16tAIDA/XrX/9aXl5e+tvf/qZx48Zp5cqVGjFixAlf+95776myslJ33nmnwsLC9M033+ill17SkSNH9N577zU51uVyafLkyRoxYoSeffZZLV26VH/605/Uo0cP3XnnnZ7jXnzxRV122WW67rrrVFtbq3feeUc/+clPtGDBAk2dOvWEtezdu1e7du3Sz372MwUEBJzwuJNZunSppkyZou7du+uxxx5TVVWVXnrpJY0aNUobN270hJif//znev/993X33XerX79+Kigo0JdffqmdO3fqnHPOOek15s2bp7KyMt1xxx2yWCx6+umndeWVV+rAgQOe8Pe///1PV111lQYOHKjZs2erqKhIM2bMUFxc3Bm9r0YHDhyQzWZTcHCwZ9vy5cv1n//8R3fffbfCw8NPGNQyMzN13nnnqbi4WLfffrtSUlKUkZGh999/X5WVlXI4HKqsrNTYsWOVkZGhO+64Q4mJiVq9erVmzZqlrKwsvfDCC5IafhhzzTXXaMKECXrqqackSTt37tRXX32lX/ziF2f1HgG0YwYAdFCvvfaaIclYt27dCY8JCgoyhg4d6nn+6KOPGt//q+/55583JBl5eXknPMe6desMScZrr712zL6xY8cakoy//vWvx903duxYz/PPP//ckGTExcUZpaWlnu3/+c9/DEnGiy++6NmWlJRk3HTTTac858lqu+mmm4ykpCTP848++siQZPzud79rctyPf/xjw2KxGPv27fNsk2Q4HI4m2zZv3mxIMl566aVjrvV9L7zwgiHJePPNNz3bamtrjdTUVMPf37/Je09KSjKmTp160vMZhmG43W7Pr3VUVJRxzTXXGHPmzDEOHz58zLFXXHGF4XA4jP3793u2ZWZmGgEBAcaYMWM82xp/Pz7//HPPtsrKymPON3v2bMNisTS51k033WRIMp544okmxw4dOtQYNmxYk20/PGdtba0xYMAAY/z48Sd9z/PnzzckGc8///xJj2t08ODBYz4LQ4YMMSIjI42CggLPts2bNxtWq9W48cYbPduCgoKMmTNnnvT8P/w8NV4vLCzMKCwsPKbuTz75xLNt4MCBRnx8vFFWVubZtmLFCkNSk3OeyNixY42UlBQjLy/PyMvLM3bu3Gn83//9nyHJmDZtmuc4SYbVajW2b99+zDkkGY8++qjn+Y033mhYrdbj/v3hdrsNwzCMJ5980vDz8zP27NnTZP//+3//z7DZbEZaWpphGIbxi1/8wggMDDTq6+tP+V4AdB5M7QPQqfn7+5+0e1/jT7Lnz59/xgvpnU6nbrnlltM+/sYbb2wywvDjH/9YMTEx+vTTT8/o+qfr008/lc1m0//93/812f7LX/5ShmHos88+a7J94sSJ6tGjh+f5oEGDFBgYqAMHDpzyOtHR0brmmms827y8vPR///d/Ki8v18qVK5tdu8Vi0aJFi/S73/1OISEhevvttzVz5kwlJSXpqquu8qyRcrlcWrx4sa644gp1797d8/qYmBhde+21+vLLL1VaWnrC63x/RLCiokL5+fk6//zzZRiGvv3222OO//nPf97k+ejRo4/59fn+OYuKilRSUqLRo0c3mTZ3PI11nuloVFZWljZt2qSbb75ZoaGhnu2DBg3SRRdd1OTzFhwcrK+//lqZmZnNvs5VV12lkJAQz/PGkdHGX4fMzExt3bpVN954o/z9/T3HjR07VgMHDjzt6+zatUsRERGKiIhQ37599dJLL2nq1Kn617/+1eS4sWPHnnLdndvt1kcffaRp06Y1WV/ZqHH673vvvafRo0crJCRE+fn5nsfEiRPlcrm0atUqSQ2/fhUVFVqyZMlpvx8AHR9BCkCnVl5eftIvoldddZVGjRqlW2+9VVFRUbr66qv1n//8p1mhKi4urlmNJXr16tXkucViUc+ePU+4PqilHD58WLGxscf8evTt29ez//sSExOPOUdISIiKiopOeZ1evXrJam36T8yJrnO6nE6nfvvb32rnzp3KzMzU22+/rZEjR3qmcUkN3dwqKyvVp0+fY17ft29fud3uY9ajfV9aWponeDSuexo7dqwkqaSkpMmx3t7ex0xFPN6vz4IFCzRy5Eh5e3srNDRUEREReuWVV4453w8FBgZK0hm38W/8dT7Rr0V+fr4qKiokSU8//bS2bdumhIQEnXfeeXrsscdOGZgb/fBz0hiqGn8dGuvo2bPnMa893rYTSU5O1pIlS7R06VJ9+eWXys7O1oIFCxQeHt7kuG7dup3yXHl5eSotLdWAAQNOetzevXu1cOFCT4BrfEycOFFSw1pASbrrrrvUu3dvTZkyRfHx8frZz3522usJAXRcrJEC0GkdOXJEJSUlJ/2y5uPjo1WrVunzzz/X//73Py1cuFDvvvuuxo8fr8WLF8tms53yOs1Z13S6TnTTYJfLdVo1tYQTXcf4QWMKM8TExOjqq6/W9OnT1b9/f/3nP/856xvRulwuXXTRRSosLNSDDz6olJQU+fn5KSMjQzfffPMx4fp0fh+++OILXXbZZRozZoz+8pe/KCYmRl5eXnrttdc0b968k762sZ371q1bz/xNnaaf/vSnGj16tD788EMtXrxYzzzzjJ566il98MEHmjJlyklf21afEz8/P0+AOZmW/PPodrt10UUX6de//vVx9/fu3VuSFBkZqU2bNmnRokX67LPP9Nlnn+m1117TjTfe2KTJCoDOhSAFoNP697//Lamhs9nJWK1WTZgwQRMmTNBzzz2nP/zhD/rtb3+rzz//XBMnTjxhqDlTe/fubfLcMAzt27evyf2uQkJCjtvS+/Dhw02mrDWntqSkJC1dulRlZWVNRqUab2bb2NDhbCUlJWnLli1yu91NRqVa+jpSw5TBQYMGae/evcrPz1dERIR8fX21e/fuY47dtWuXrFarEhISjnuurVu3as+ePXr99dd14403erafzXSt//73v/L29taiRYvkdDo921977bVTvrZ3797q06eP5s+frxdffLHJtLjT0fjrfKJfi/DwcPn5+Xm2xcTE6K677tJdd92l3NxcnXPOOfr9739/yiB1unXs27fvmH3H29YWIiIiFBgYqG3btp30uB49eqi8vPy0ApzD4dC0adM0bdo0ud1u3XXXXfrb3/6mhx9+uFkjbwA6Dqb2AeiUli9frieffFLdunXTddddd8LjCgsLj9nWeGPbmpoaSfJ82WypexW98cYbTaZrvf/++8rKymryhbVHjx5au3ZtkzbMCxYsOGZaWnNqu+SSS+RyufTyyy832f7888/LYrGc9Rfm718nOztb7777rmdbfX29XnrpJfn7+3umyjXH3r17lZaWdsz24uJirVmzRiEhIYqIiJDNZtOkSZM0f/78JlMlc3JyNG/ePF1wwQWeKXM/1Diy8v2RFMMwzqqFtc1mk8ViadIS/dChQ/roo49O6/WPP/64CgoKdOutt6q+vv6Y/YsXL9aCBQuO+9qYmBgNGTJEr7/+epPPx7Zt27R48WJdcsklkhpG4n44zTAyMlKxsbGePwNnIzY2VgMGDNAbb7yh8vJyz/aVK1e2yWjb8VitVl1xxRX65JNPtH79+mP2N34GfvrTn2rNmjVatGjRMccUFxd7fk8KCgqOOX/jD0Za4tcQQPvEiBSADu+zzz7Trl27VF9fr5ycHC1fvlxLlixRUlKSPv7445PeiPOJJ57QqlWrNHXqVCUlJSk3N1d/+ctfFB8frwsuuEBSQ6gJDg7WX//6VwUEBMjPz08jRow4rbUYxxMaGqoLLrhAt9xyi3JycvTCCy+oZ8+eTVq033rrrXr//fd18cUX66c//an279+vN998s0nzh+bWNm3aNF144YX67W9/q0OHDmnw4MFavHix5s+fr3vvvfeYc5+p22+/XX/729908803a8OGDUpOTtb777+vr776Si+88MIZNU/YvHmzrr32Wk2ZMkWjR49WaGioMjIy9PrrryszM1MvvPCCJwj97ne/89wb7K677pLdbtff/vY31dTU6Omnnz7hNVJSUtSjRw/96le/UkZGhgIDA/Xf//73lGvCTmbq1Kl67rnndPHFF+vaa69Vbm6u5syZo549e2rLli2nfP1VV12lrVu36ve//72+/fZbXXPNNUpKSlJBQYEWLlyoZcuWnXSK4DPPPKMpU6YoNTVVM2bM8LQ/DwoK8txTqaysTPHx8frxj3+swYMHy9/fX0uXLtW6dev0pz/96Yzf+/f94Q9/0OWXX65Ro0bplltuUVFRkV5++WUNGDCgSbhqS3/4wx+0ePFijR07Vrfffrv69u2rrKwsvffee/ryyy8VHBysBx54QB9//LEuvfRS3XzzzRo2bJgqKiq0detWvf/++zp06JDCw8N16623qrCwUOPHj1d8fLwOHz6sl156SUOGDPGsDQTQCZnXMBAAzk5j+/PGh8PhMKKjo42LLrrIePHFF5u02W70w/bny5YtMy6//HIjNjbWcDgcRmxsrHHNNdcc0+54/vz5Rr9+/Qy73d6kxfTYsWON/v37H7e+E7U/f/vtt41Zs2YZkZGRho+PjzF16tTjtvH+05/+ZMTFxRlOp9MYNWqUsX79+mPOebLaftiu2jAMo6yszLjvvvuM2NhYw8vLy+jVq5fxzDPPeNo9N5J03HbYJ2rL/kM5OTnGLbfcYoSHhxsOh8MYOHDgcVu0n27785ycHOOPf/yjMXbsWCMmJsaw2+1GSEiIMX78eOP9998/5viNGzcakydPNvz9/Q1fX1/jwgsvNFavXt3kmOO1P9+xY4cxceJEw9/f3wgPDzduu+02T9v379d/0003GX5+fsdc94efL8MwjFdffdXo1auX4XQ6jZSUFOO111477nEn0/g5jYyMNOx2uxEREWFMmzbNmD9/vueY47U/NwzDWLp0qTFq1CjDx8fHCAwMNKZNm2bs2LHDs7+mpsZ44IEHjMGDBxsBAQGGn5+fMXjwYOMvf/lLk/OcqP35M888c0y9+kGrccMwjHfeecdISUkxnE6nMWDAAOPjjz82pk+fbqSkpJzy/Z/sz9kPr3uiNu7Hq+nw4cPGjTfeaERERBhOp9Po3r27MXPmTKOmpsZzTFlZmTFr1iyjZ8+ehsPhMMLDw43zzz/fePbZZ43a2lrDMAzj/fffNyZNmmRERkYaDofDSExMNO644w4jKyvrlDUD6LgshtEOVg0DAIAuZ8iQIYqIiKBtOIAOiTVSAACgVdXV1R2zxmvFihXavHmzxo0bZ05RAHCWGJECAACt6tChQ5o4caKuv/56xcbGateuXfrrX/+qoKAgbdu2TWFhYWaXCADNRrMJAADQqkJCQjRs2DD985//VF5envz8/DR16lT98Y9/JEQB6LAYkQIAAACAZmKNFAAAAAA0E0EKAAAAAJqJNVKS3G63MjMzFRAQIIvFYnY5AAAAAExiGIbKysoUGxsrq/XE404EKUmZmZlKSEgwuwwAAAAA7UR6erri4+NPuJ8gJSkgIEBSwy9WYGCgydUAAAAAMEtpaakSEhI8GeFECFKSZzpfYGAgQQoAAADAKZf80GwCAAAAAJqp3QSpP/7xj7JYLLr33ns926qrqzVz5kyFhYXJ399f06dPV05OTpPXpaWlaerUqfL19VVkZKQeeOAB1dfXt3H1AAAAALqSdhGk1q1bp7/97W8aNGhQk+333XefPvnkE7333ntauXKlMjMzdeWVV3r2u1wuTZ06VbW1tVq9erVef/11zZ07V4888khbvwUAAAAAXYjpQaq8vFzXXXed/vGPfygkJMSzvaSkRK+++qqee+45jR8/XsOGDdNrr72m1atXa+3atZKkxYsXa8eOHXrzzTc1ZMgQTZkyRU8++aTmzJmj2tpas94SAAAAgE7O9CA1c+ZMTZ06VRMnTmyyfcOGDaqrq2uyPSUlRYmJiVqzZo0kac2aNRo4cKCioqI8x0yePFmlpaXavn37Ca9ZU1Oj0tLSJg8AAAAAOF2mdu175513tHHjRq1bt+6YfdnZ2XI4HAoODm6yPSoqStnZ2Z5jvh+iGvc37juR2bNn6/HHHz/L6gEAAAB0VaaNSKWnp+sXv/iF3nrrLXl7e7fptWfNmqWSkhLPIz09vU2vDwAAAKBjMy1IbdiwQbm5uTrnnHNkt9tlt9u1cuVK/fnPf5bdbldUVJRqa2tVXFzc5HU5OTmKjo6WJEVHRx/Txa/xeeMxx+N0Oj33jOLeUQAAAACay7QgNWHCBG3dulWbNm3yPM4991xdd911nv/38vLSsmXLPK/ZvXu30tLSlJqaKklKTU3V1q1blZub6zlmyZIlCgwMVL9+/dr8PQEAAADoGkxbIxUQEKABAwY02ebn56ewsDDP9hkzZuj+++9XaGioAgMDdc899yg1NVUjR46UJE2aNEn9+vXTDTfcoKefflrZ2dl66KGHNHPmTDmdzjZ/TwAAAAC6BlObTZzK888/L6vVqunTp6umpkaTJ0/WX/7yF89+m82mBQsW6M4771Rqaqr8/Px000036YknnjCxagAAAACdncUwDMPsIsxWWlqqoKAglZSUsF4KAAAA6MJONxuYfh8pAAAAAOhoCFIAAAAA0EwEKQAAAABoJoIUAAAAADQTQQoAAAAAmokgBQAAAADN1K7vI4XOJS0tTfn5+WaX0eLCw8OVmJhodhkAAABoQwQptIm0tDSl9O2rqspKs0tpcT6+vtq1cydhCgAAoAshSKFN5Ofnq6qyUtc9+IyiEnuYXU6LyUnbr7eeekD5+fkEKQAAgC6EIIU2FZXYQ/G9+ptdBgAAAHBWaDYBAAAAAM1EkAIAAACAZiJIAQAAAEAzEaQAAAAAoJkIUgAAAADQTAQpAAAAAGgmghQAAAAANBNBCgAAAACaiSAFAAAAAM1EkAIAAACAZiJIAQAAAEAzEaQAAAAAoJkIUgAAAADQTAQpAAAAAGgmghQAAAAANBNBCgAAAACaiSAFAAAAAM1EkAIAAACAZiJIAQAAAEAzEaQAAAAAoJkIUgAAAADQTAQpAAAAAGgmghQAAAAANBNBCgAAAACaiSAFAAAAAM1EkAIAAACAZiJIAQAAAEAzEaQAAAAAoJkIUgAAAADQTAQpAAAAAGgmghQAAAAANBNBCgAAAACaiSAFAAAAAM1EkAIAAACAZiJIAQAAAEAzEaQAAAAAoJlMDVKvvPKKBg0apMDAQAUGBio1NVWfffaZZ/+4ceNksViaPH7+8583OUdaWpqmTp0qX19fRUZG6oEHHlB9fX1bvxUAAAAAXYjdzIvHx8frj3/8o3r16iXDMPT666/r8ssv17fffqv+/ftLkm677TY98cQTntf4+vp6/t/lcmnq1KmKjo7W6tWrlZWVpRtvvFFeXl76wx/+0ObvBwAAAEDXYGqQmjZtWpPnv//97/XKK69o7dq1niDl6+ur6Ojo475+8eLF2rFjh5YuXaqoqCgNGTJETz75pB588EE99thjcjgcrf4eAAAAAHQ97WaNlMvl0jvvvKOKigqlpqZ6tr/11lsKDw/XgAEDNGvWLFVWVnr2rVmzRgMHDlRUVJRn2+TJk1VaWqrt27ef8Fo1NTUqLS1t8gAAAACA02XqiJQkbd26Vampqaqurpa/v78+/PBD9evXT5J07bXXKikpSbGxsdqyZYsefPBB7d69Wx988IEkKTs7u0mIkuR5np2dfcJrzp49W48//ngrvSMAAAAAnZ3pQapPnz7atGmTSkpK9P777+umm27SypUr1a9fP91+++2e4wYOHKiYmBhNmDBB+/fvV48ePc74mrNmzdL999/veV5aWqqEhISzeh8AAAAAug7Tp/Y5HA717NlTw4YN0+zZszV48GC9+OKLxz12xIgRkqR9+/ZJkqKjo5WTk9PkmMbnJ1pXJUlOp9PTKbDxAQAAAACny/Qg9UNut1s1NTXH3bdp0yZJUkxMjCQpNTVVW7duVW5urueYJUuWKDAw0DM9EAAAAABamqlT+2bNmqUpU6YoMTFRZWVlmjdvnlasWKFFixZp//79mjdvni655BKFhYVpy5Ytuu+++zRmzBgNGjRIkjRp0iT169dPN9xwg55++mllZ2froYce0syZM+V0Os18awAAAAA6MVODVG5urm688UZlZWUpKChIgwYN0qJFi3TRRRcpPT1dS5cu1QsvvKCKigolJCRo+vTpeuihhzyvt9lsWrBgge68806lpqbKz89PN910U5P7TgEAAABASzM1SL366qsn3JeQkKCVK1ee8hxJSUn69NNPW7IsAAAAADipdrdGCgAAAADaO4IUAAAAADQTQQoAAAAAmokgBQAAAADNRJACAAAAgGYiSAEAAABAMxGkAAAAAKCZCFIAAAAA0EwEKQAAAABoJoIUAAAAADQTQQoAAAAAmokgBQAAAADNRJACAAAAgGYiSAEAAABAMxGkAAAAAKCZCFIAAAAA0EwEKQAAAABoJoIUAAAAADQTQQoAAAAAmokgBQAAAADNRJACAAAAgGYiSAEAAABAMxGkAAAAAKCZCFIAAAAA0EwEKQAAAABoJoIUAAAAADQTQQoAAAAAmsludgFAo9KqOmWWVMlptynIx0uBPnbZrWR9AAAAtD8EKZiqoLxGu7LLdLCgQgXltcfsD/N3aGS3MPWI8JPFYjGhQgAAAOBYBCmYwjAMbUwr1ur9+XIbDdsskqICvVXvdqukqk51LkMF5bX639YsxQX7aHSvcEUFeptaNwAAACARpGCCipp6LdmRo8OFlZKkpDBfpUQHKDnMT95eNkkNQauy1qUtR0q0Ia1IGcVVemdduoYlhWhUjzBGpwAAAGAqghTaVGGNRZ99k6bKWpfsVovG9o5Q/9jAY4KRxWKRn9Ou1B5hGhAXqNX7C7Qru0wbDheprt6tcX0iCFMAAAAwDUEKbcYeFKXVeXbVuF0K83NoyoBohfk7T/m6AG8vTe4frbgQHy3bmastGSVyGYYmpEQSpgAAAGAKglQ7lJaWpvz8fLPLaFEbt+1S5E8eU43boogAp358Trwc9uZ15BsQGySbxaIlO3K0PbNUbrehif2iZCVMAQAAoI0RpNqZtLQ0pfTtq6rKSrNLaTlWu6J++oS8kwbJ2+rSZYNjmx2iGvWNCZTNatHC7dnamV2mYF+HzusW2sIFAwAAACdHkGpn8vPzVVVZqesefEZRiT3MLuesGYa0odCmwxU2uWsq1T+oXP7OlLM6Z++oANW53Fq6M1drDxYoPsRHscE+LVQxAAAAcGoEqXYqKrGH4nv1N7uMs7Y3t0yH07MlGcr7aLb8b7mzRc7bLyZQ6UVV2p1dpoXbs3XteYmejn8AAABAazuz+VXAaaipc2nl7jxJUoIKVH3o2xY7t8Vi0fg+kQry8VJZdb2W7cyVYRgtdn4AAADgZAhSaDVf7s9XRa1LIb5eSlDLN89w2K2aMiBaVou0L69c2zJKW/waAAAAwPEQpNAqMoqrPMFmfEqkrGqd0aKoQG+d3yNckvTlvnxV1ta3ynUAAACA7yNIocXVu91avjNXktQ/NlDxIb6ter1zEoMVGeBUrcutNfsLWvVaAAAAgESQQivYmFaswspa+TpsuqBneKtfz2KxaEzvCEnStsxS5ZZVt/o1AQAA0LURpNCiaupc2nC4SJI0uld4m3XSiwv2Ue9If0nSqj35NJ4AAABAqyJIoUV9m16s2nq3wvwc6hMV0KbXHtUrXDarRRnFVdqXW96m1wYAAEDXQpBCi6muc+nbtGJJ0ohuobJYLG16/UBvLw1LCpHU0Hii3uVu0+sDAACg6yBIocV8m1asWpdbYf4O9Tw6za6tnZsUIn+nXaXV9dqaUWJKDQAAAOj8TA1Sr7zyigYNGqTAwEAFBgYqNTVVn332mWd/dXW1Zs6cqbCwMPn7+2v69OnKyclpco60tDRNnTpVvr6+ioyM1AMPPKD6elpgt7XqOpc2pRdLkkZ2C2vz0ahGXjarzusWKqmh6UW9m1EpAAAAtDxTg1R8fLz++Mc/asOGDVq/fr3Gjx+vyy+/XNu3b5ck3Xffffrkk0/03nvvaeXKlcrMzNSVV17peb3L5dLUqVNVW1ur1atX6/XXX9fcuXP1yCOPmPWWuqyNaUWqdbkV7u9Qjwg/U2vpGxMgP6dN5TX12pVVZmotAAAA6JxMDVLTpk3TJZdcol69eql37976/e9/L39/f61du1YlJSV69dVX9dxzz2n8+PEaNmyYXnvtNa1evVpr166VJC1evFg7duzQm2++qSFDhmjKlCl68sknNWfOHNXW1pr51rqUJqNR3c0bjWpkt1p1TmLDWqn1h4vkdtPBDwAAAC2r3ayRcrlceuedd1RRUaHU1FRt2LBBdXV1mjhxoueYlJQUJSYmas2aNZKkNWvWaODAgYqKivIcM3nyZJWWlnpGtY6npqZGpaWlTR44c9szS1XnMhTm71D3cHNHoxoNjAuSt5dVJVV12pPLqBQAAABalulBauvWrfL395fT6dTPf/5zffjhh+rXr5+ys7PlcDgUHBzc5PioqChlZ2dLkrKzs5uEqMb9jftOZPbs2QoKCvI8EhISWvZNdSFuw9CWI8WSpCHxwaaPRjXyslk1NOHoqNShIu4rBQAAgBZlepDq06ePNm3apK+//lp33nmnbrrpJu3YsaNVrzlr1iyVlJR4Hunp6a16vc7sUH6FSqvr5bRb1Se6be8bdSqD44PksFlVUFGrA/kVZpcDAACATsT0IOVwONSzZ08NGzZMs2fP1uDBg/Xiiy8qOjpatbW1Ki4ubnJ8Tk6OoqOjJUnR0dHHdPFrfN54zPE4nU5Pp8DGB87M5iMNLcb7xwbKy2b6x6kJp5dNg+KDJDWMSgEAAAAtpX1985XkdrtVU1OjYcOGycvLS8uWLfPs2717t9LS0pSamipJSk1N1datW5Wbm+s5ZsmSJQoMDFS/fv3avPaupqiiVmmFlZKkQfHB5hZzAkMTg2WzWJRdWq3s0mqzywEAAEAnYTfz4rNmzdKUKVOUmJiosrIyzZs3TytWrNCiRYsUFBSkGTNm6P7771doaKgCAwN1zz33KDU1VSNHjpQkTZo0Sf369dMNN9ygp59+WtnZ2XrooYc0c+ZMOZ1OM99al7D56NqobuF+CvLxMreYE/B12NUryl+7ssu05UixovudeKQSAAAAOF2mBqnc3FzdeOONysrKUlBQkAYNGqRFixbpoosukiQ9//zzslqtmj59umpqajR58mT95S9/8bzeZrNpwYIFuvPOO5Wamio/Pz/ddNNNeuKJJ8x6S11Gbb1bO4/eo2nw0elz7dWg+CDtyi7Tnpxyje7lko+XzeySAAAA0MGZGqReffXVk+739vbWnDlzNGfOnBMek5SUpE8//bSlS8Mp7MwqVa3LrRBfLyWG+ppdzklFB3orIsCpvLIa7cgs1bCkELNLAgAAQAfX7tZIoWPYltnQZGJQO2p5fiIWi8XTdGLLkWK5aYUOAACAs0SQQrPlldUov7xWVovaXcvzE+kTFSCn3arS6nodLqg0uxwAAAB0cAQpNNvO7FJJDU0mOsp6Iy+bVf1iGtrcN95AGAAAADhTBCk0i9ttaHd2Q5OJvjEd6/5bA49O7ztUUKmSqjqTqwEAAEBHRpBCs6QVVqqytqHzXXKYn9nlNEuIr0NJRxtjbMsoMbkaAAAAdGQEKTTLzqyGaX29o/xls7bvJhPH0z+2YRRtV3YZTScAAABwxghSOG01dS7tz6+Q1PGm9TXqFu4np92q8pp6HSmqMrscAAAAdFAEKZy2vbnlcrkNhfo5FBngNLucM2K3WdU7qqHT4I6jo2sAAABAcxGkcNoau/X1jQ5o9/eOOpnG7n37c8tVU+8yuRoAAAB0RAQpnJaSqjplFldLklKiO+a0vkZRgU6F+Hqp3m1ob2652eUAAACgAyJI4bTszW1oeR4f4iN/b7vJ1Zwdi8XiWeO1k+l9AAAAOAMEKZyWfUdHbnpF+ptcSctIiW5YJ5VZXK3iylqTqwEAAEBHQ5DCKZVW1SmntEYWST0iOkeQCvD2UuLRe0rtPHqDYQAAAOB0EaRwSo2jUXHBPvJzduxpfd/XN6ZhVGpXVqkM7ikFAACAZiBI4ZQaGzL07CTT+hr1iPCXl82i0up6ZZdWm10OAAAAOhCCFE6qrLrOEzI6W5DyslnV/ehUxT05dO8DAADA6SNI4aQap/XFBnt3qml9jXofDYd7c8rkZnofAAAAThNBCie119OtL8DkSlpHYpivHHarKmpdyiyuMrscAAAAdBAEKZxQeXW9skoapvX1iPAzuZrWYbda1ZPpfQAAAGgmghROaF9eQ7CICfJWgLeXydW0nt5RDUFqX2653G6m9wEAAODUCFI4oX2dtFvfD8WH+MrHy6aqOpfSiyrNLgcAAAAdAEEKx1Vd51JmScOaoc5yE94TsVkt6hHZMHWxcU0YAAAAcDIEKRzXoYIKGYYU5udQkE/nndbXqE9UQzONfbnlcjG9DwAAAKdAkMJxHcyrkCR1C++cTSZ+KDbYR74Om2rq3TpcWGF2OQAAAGjnCFI4hstt6FBhw1qhrhKkrBaLekV+13QCAAAAOBmCFI6RWVyl2nq3fLxsig7yNrucNtPYVONgXgXT+wAAAHBSBCkc40B+w9S25HBfWS0Wk6tpO7HBPvLxsqm63q0Mbs4LAACAkyBIoQnDMHQwv2utj2pktVjU/eiNh/fnMb0PAAAAJ0aQQhNFlXUqqaqTzWJRUmjXClLSd63e9+eVyzCY3gcAAIDjI0ihiQP5DSMxcSE+cti73scjIdRHDptVFTUuZZdWm10OAAAA2qmu900ZJ9XY9rx7F5vW18hutSo53FeStD+PNugAAAA4PoIUPKrqXMoqaRiF6Wrro76vcXrfvlym9wEAAOD4CFLwOFxQIUNSmL9DgT5eZpdjmuQwP9msFpVU1amgotbscgAAANAOEaTgcbig4Sa8yWFddzRKkhx2qxJDj07v4+a8AAAAOA6CFCQ1tD1vDFJJR0NEV9bjaBv0fbRBBwAAwHEQpCBJyiurUVWdS142i2KDfcwux3Tdw/1lkZRfXqvSqjqzywEAAEA7Q5CCJOlwYcNoVEKIr2xWi8nVmM/HYfMEygP5dO8DAABAUwQpSPpufVRiGNP6GjV2Lmy8txYAAADQiCAF1dS7lFVSJYlGE9/X/eg6qYyiKtXUu0yuBgAAAO0JQQo6UlQltyEF+3gpqAu3Pf+hEF+Hgn295DaktKMjdgAAAIBEkIKkQwUNa4CSmNZ3jO6e6X2skwIAAMB3CFJdnGEYntGWJKb1HaN7uL8k6VB+hdxuw+RqAAAA0F4QpLq44so6lVbXy2axKD6Etuc/FBPkLW+7VdX1bmWVVJtdDgAAANoJglQX19j2PDbEW142Pg4/ZLValEz3PgAAAPwA35y7OM/6qFCm9Z1I4zqpg6yTAgAAwFGmBqnZs2dr+PDhCggIUGRkpK644grt3r27yTHjxo2TxWJp8vj5z3/e5Ji0tDRNnTpVvr6+ioyM1AMPPKD6+vq2fCsdUr3brYyihrbnNJo4scQwX1ktUlFlnYoqa80uBwAAAO2AqUFq5cqVmjlzptauXaslS5aorq5OkyZNUkVF05/833bbbcrKyvI8nn76ac8+l8ulqVOnqra2VqtXr9brr7+uuXPn6pFHHmnrt9PhZJdUq95tyNdhU5ifw+xy2i2n3ab4kIageTCPUSkAAABIdjMvvnDhwibP586dq8jISG3YsEFjxozxbPf19VV0dPRxz7F48WLt2LFDS5cuVVRUlIYMGaInn3xSDz74oB577DE5HASEE0kvbBiNSgjxlcViMbma9q1buJ/SCit1sKBC5ySFmF0OAAAATNau1kiVlJRIkkJDQ5tsf+uttxQeHq4BAwZo1qxZqqz87uaoa9as0cCBAxUVFeXZNnnyZJWWlmr79u3HvU5NTY1KS0ubPLqi9KKGX8eEULr1nUry0amPmcVVqql3mVwNAAAAzGbqiNT3ud1u3XvvvRo1apQGDBjg2X7ttdcqKSlJsbGx2rJlix588EHt3r1bH3zwgSQpOzu7SYiS5HmenZ193GvNnj1bjz/+eCu9k46hpt6l7NKGdt4JoayPOpVgX4eCfbxUXFWn9MIq9Yz0N7skAAAAmKjdBKmZM2dq27Zt+vLLL5tsv/322z3/P3DgQMXExGjChAnav3+/evTocUbXmjVrlu6//37P89LSUiUkJJxZ4R1URlGVDEMK9vFSoLeX2eV0CMlhftp0pFiHCyoIUgAAAF1cu5jad/fdd2vBggX6/PPPFR8ff9JjR4wYIUnat2+fJCk6Olo5OTlNjml8fqJ1VU6nU4GBgU0eXY1nfRSjUactObzh1+pQQaUMwzC5GgAAAJjJ1CBlGIbuvvtuffjhh1q+fLm6det2ytds2rRJkhQTEyNJSk1N1datW5Wbm+s5ZsmSJQoMDFS/fv1ape7OII31Uc0WF+wju9Wi8pp6FVTQBh0AAKArM3Vq38yZMzVv3jzNnz9fAQEBnjVNQUFB8vHx0f79+zVv3jxdcsklCgsL05YtW3TfffdpzJgxGjRokCRp0qRJ6tevn2644QY9/fTTys7O1kMPPaSZM2fK6XSa+fbarfKaehUeDQIJIYxInS67zar4EB8dKqjUofwKhfvz+QIAAOiqTB2ReuWVV1RSUqJx48YpJibG83j33XclSQ6HQ0uXLtWkSZOUkpKiX/7yl5o+fbo++eQTzzlsNpsWLFggm82m1NRUXX/99brxxhv1xBNPmPW22r0jhQ2jUZEBTnl72UyupmNJDvOT1DC9DwAAAF2XqSNSp1pnkpCQoJUrV57yPElJSfr0009bqqxO77tpfYxGNVdyuJ+0J0+ZJbRBBwAA6MraRbMJtB3DMDyNJhIJUs0W5OOlEF8vGYaUVsioFAAAQFdFkOpiiirrVF5TL5vVotggb7PL6ZA80/vyCVIAAABdFUGqi0k/Oq0vJshbdhu//WciKaxhJO9wQYXogg4AANA18U26i8koOnr/KLr1nbG4kIY26BW1LpXUWcwuBwAAACYgSHUhhmHoyNEgFRfC/aPOlN1q9TTqyK4iSAEAAHRFBKkupLCiVlV1LtmtFkUFcg+ks5F8dHpfdjV/hAAAALoivgV2IRnFDaNR0UHeslv5rT8bjQ0nCmsssjr9TK4GAAAAbY1v011I47S+eKb1nbVAHy+F+jlkyCLvbkPNLgcAAABtjCDVRXx/fVR8MI0mWkLj9D6f7sNMrgQAAABtjSDVRRRV1qmqziWb1aKoINZHtYTG6X0+3c6Vmz7oAAAAXQpBqos48v37R7E+qkXEBvvIbjFk8w/RweJ6s8sBAABAG+IbdReR4ZnWx/qolmKzWhTp3TAStTGr2uRqAAAA0JYIUl2AYRg6UtzYaIL1US0pysctSdqYVWNyJQAAAGhLBKkuoKiyTpW1R9dHcf+oFhXt3RCk9hbWqbiy1uRqAAAA0FYIUl1Ak/VRNn7LW5KvXarNOyS3Ia3am292OQAAAGgjfKvuAlgf1bqqDmyQJK3YlWtyJQAAAGgrBKlO7vvro+K4EW+rqDqwXlLDiJTbTRt0AACAroAg1ckVf299VHSgt9nldEo1R3bK225RfnmNdmSVml0OAAAA2gBBqpM7cnRaX0wg66NajbteAyIdkqRVe/NMLgYAAABtgW/WndyR4oZGE0zra11Doxq6Ia7aQ5ACAADoCghSnZhhGJ4RqXiCVKsaGtMQpNYfKlJ5Tb3J1QAAAKC1EaQ6seIq1ke1lWh/u5LCfFXvNrRmf4HZ5QAAAKCVEaQ6scbRqGjWR7WJsb0jJEkr99AGHQAAoLPj23Un1ngjXqb1tY0xvRqDVJ4MgzboAAAAnRlBqpMyDOO7G/ESpNpEao8wedksSi+s0qGCSrPLAQAAQCsiSHVSxVV1qmB9VJvyc9p1blKoJLr3AQAAdHYEqU4qg/VRphjb57vpfQAAAOi8+IbdSTU2muD+UW2rcZ3Umv0Fqql3mVwNAAAAWssZBanu3buroODYFs/FxcXq3r37WReFs2MYhudGvPHBBKm21DcmQBEBTlXVubT+UJHZ5QAAAKCVnFGQOnTokFyuY3/aXlNTo4yMjLMuCmenuKpOFTUu2SwWxQSxPqotWSwWz6gU66QAAAA6L3tzDv744489/79o0SIFBQV5nrtcLi1btkzJycktVhzOjGd9VBDro8wwpne4/rvxiFbuydOsS/qaXQ4AAABaQbOC1BVXXCGp4afuN910U5N9Xl5eSk5O1p/+9KcWKw5nJqP46PoopvWZYnSvCFks0q7sMuWUViuKrokAAACdTrOGK9xut9xutxITE5Wbm+t57na7VVNTo927d+vSSy9trVpxmjKPBqnYYL7AmyHUz6FBcQ2jtUzvAwAA6JzOaN7XwYMHFR4e3tK1oAWUVdeptLpeFkkxQYxImWVsb9qgAwAAdGbNmtr3fcuWLdOyZcs8I1Pf969//eusC8OZaZzWFxHglMPO+iizjOkdoT8v36cv9+XL5TZks1rMLgkAAAAt6Iy+aT/++OOaNGmSli1bpvz8fBUVFTV5wDyZxdWSWB9ltiEJwQrwtqu4sk5bjhSbXQ4AAABa2BmNSP31r3/V3LlzdcMNN7R0PThL362PIkiZyW6z6oKe4fpsW7ZW7cnX0MQQs0sCAABACzqjEana2lqdf/75LV0LzlJVnUsFFbWSaDTRHozxrJPKNbkSAAAAtLQzClK33nqr5s2b19K14CxlHR2NCvH1kq/jjJe/oYU0BqlN6cUqqawzuRoAAAC0pDP6tl1dXa2///3vWrp0qQYNGiQvL68m+5977rkWKQ7Nw/2j2pe4YB/1jPTXvtxyfbU/X5cMjDG7JAAAALSQMwpSW7Zs0ZAhQyRJ27Zta7LPYqE7mVkIUu3P2N4R2pdbrpW78whSAAAAncgZBanPP/+8pevAWapzuZVXViOJRhPtyZjeEXr1y4NatTdPhmHwgwYAAIBOghsNdRJZJdVyG5K/065AH69TvwBtYkS3UDntVmWVVGtvbrnZ5QAAAKCFnNGI1IUXXnjSn6wvX778jAvCmclkWl+75O1l04juYVq1J0+r9uSpd1SA2SUBAACgBZzRiNSQIUM0ePBgz6Nfv36qra3Vxo0bNXDgwJauEachw3P/KNqetzdjPW3Q80yuBAAAAC3ljEaknn/++eNuf+yxx1RezvSltuZyG8ouqZbEiFR7NLZ3uJ6U9PXBQlXVuuTjsJldEgAAAM5Si66Ruv766/Wvf/3rtI+fPXu2hg8froCAAEVGRuqKK67Q7t27mxxTXV2tmTNnKiwsTP7+/po+fbpycnKaHJOWlqapU6fK19dXkZGReuCBB1RfX98i76kjyC2rVr3bkLeXVaF+DrPLwQ/0iPBXbJC3auvdWnuwwOxyAAAA0AJaNEitWbNG3t6nP7Vs5cqVmjlzptauXaslS5aorq5OkyZNUkVFheeY++67T5988onee+89rVy5UpmZmbryyis9+10ul6ZOnara2lqtXr1ar7/+uubOnatHHnmkJd9au5ZZ3DAaFRvkQ1e4dshisWhsn4bpfauY3gcAANApnNHUvu8HGUkyDENZWVlav369Hn744dM+z8KFC5s8nzt3riIjI7VhwwaNGTNGJSUlevXVVzVv3jyNHz9ekvTaa6+pb9++Wrt2rUaOHKnFixdrx44dWrp0qaKiojRkyBA9+eSTevDBB/XYY4/J4ej8IzTcP6r9G9MrQm9/k846KQAAgE7ijEakgoKCmjxCQ0M1btw4ffrpp3r00UfPuJiSkhJJUmhoqCRpw4YNqqur08SJEz3HpKSkKDExUWvWrJHUMAo2cOBARUVFeY6ZPHmySktLtX379uNep6amRqWlpU0eHZVhGJ6Ofdw/qv06v2e4bFaLDuRV6EhRpdnlAAAA4Cyd0YjUa6+91tJ1yO12695779WoUaM0YMAASVJ2drYcDoeCg4ObHBsVFaXs7GzPMd8PUY37G/cdz+zZs/X444+38DswR0FFrWrq3bJbLYoIcJpdDk4gyMdLQxOCtf5wkVbtyde1IxLNLgkAAABn4azWSG3YsEFvvvmm3nzzTX377bdnVcjMmTO1bds2vfPOO2d1ntMxa9YslZSUeB7p6emtfs3W0jgaFRPsLZuV9VHt2Xdt0HNNrgQAAABn64xGpHJzc3X11VdrxYoVntGi4uJiXXjhhXrnnXcUERHRrPPdfffdWrBggVatWqX4+HjP9ujoaNXW1qq4uLjJqFROTo6io6M9x3zzzTdNztfY1a/xmB9yOp1yOjvH6I1nfVQQ0/rauzG9I/SnJXu0el+B6lxuedlatNcLAAAA2tAZfZO75557VFZWpu3bt6uwsFCFhYXatm2bSktL9X//93+nfR7DMHT33Xfrww8/1PLly9WtW7cm+4cNGyYvLy8tW7bMs2337t1KS0tTamqqJCk1NVVbt25Vbu53P+VfsmSJAgMD1a9fvzN5ex1Gw/qoox37WB/V7g2MC1Kon0NlNfX6Nq3Y7HIAAABwFs5oRGrhwoVaunSp+vbt69nWr18/zZkzR5MmTTrt88ycOVPz5s3T/PnzFRAQ4FnTFBQUJB8fHwUFBWnGjBm6//77FRoaqsDAQN1zzz1KTU3VyJEjJUmTJk1Sv379dMMNN+jpp59Wdna2HnroIc2cObPTjDqdSGl1vcpr6mW1SNFBp992HuawWi26oGe4Pt6cqVV78nRet1CzSwIAAMAZOqMRKbfbLS8vr2O2e3l5ye12n/Z5XnnlFZWUlGjcuHGKiYnxPN59913PMc8//7wuvfRSTZ8+XWPGjFF0dLQ++OADz36bzaYFCxbIZrMpNTVV119/vW688UY98cQTZ/LWOpTG9VGRAd5ME+sgxnjWSdEGHQAAoCM7oxGp8ePH6xe/+IXefvttxcbGSpIyMjJ03333acKECad9HsMwTnmMt7e35syZozlz5pzwmKSkJH366aenfd3OgvtHdTxjeoVLkrZmlCi/vEbh/p171BQAAKCzOqNhjJdfflmlpaVKTk5Wjx491KNHD3Xr1k2lpaV66aWXWrpGnIDn/lEhTOvrKCIDvdU3JlCS9OXefJOrAQAAwJk6oxGphIQEbdy4UUuXLtWuXbskSX379m1y41y0roqaehVV1kmSYunY16GM7R2hnVmlWrUnT1cMjTO7HAAAAJyBZo1ILV++XP369VNpaaksFosuuugi3XPPPbrnnns0fPhw9e/fX1988UVr1YrvySxpGI0K83fI28tmcjVojjG9G6b3rdqbL7f71NNbAQAA0P40K0i98MILuu222xQYGHjMvqCgIN1xxx167rnnWqw4nFhj23PuH9XxnJsUKl+HTfnlNdqRVWp2OQAAADgDzQpSmzdv1sUXX3zC/ZMmTdKGDRvOuiicmmd9FI0mOhyH3arze4RJklbtpXsfAABAR9SsIJWTk3PctueN7Ha78vL4YtjaaupdyiurkUTHvo5qbGMb9N38eQEAAOiImhWk4uLitG3bthPu37Jli2JiYs66KJxcdkm1DElBPl7y9z6jfiEwWeP9pDYcLlJ5Tb3J1QAAAKC5mhWkLrnkEj388MOqrq4+Zl9VVZUeffRRXXrppS1WHI4vwzOtj7bnHVVSmJ+SwnxV7za0eh9t0AEAADqaZgWphx56SIWFherdu7eefvppzZ8/X/Pnz9dTTz2lPn36qLCwUL/97W9bq1YclcH6qE6hcXof66QAAAA6nmbNC4uKitLq1at15513atasWTKMhtbNFotFkydP1pw5cxQVFdUqhaJBvdutnFLWR3UGY3pF6I01h7Vid54Mw5DFYjG7JAAAAJymZi+wSUpK0qeffqqioiLt27dPhmGoV69eCgkJaY368AM5pTVyuQ35eNkU7HPixh9o/87vGSaH3aojRVXal1uuXlEBZpcEAACA03TGnQpCQkI0fPjwlqwFp6Gx7XlcsA8jGB2cr8Oukd3DtGpPnj7fnUuQAgAA6ECatUYK5mtcHxUXwrS+zmB8n4Z1Ust35ZpcCQAAAJqDINWBuA1DWcUNHRPp2Nc5jE9pWFO4/lCRSqvrTK4GAAAAp4sg1YHkl9eo1uWWw2ZVuL/T7HLQAhLDfNU9wk/1bkNf7KENOgAAQEdBkOpAMo+ORsUEe8vK+qhOY3yfSElM7wMAAOhICFIdCPeP6pzGpzQEqZV7cuV2GyZXAwAAgNNBkOogDMP4rmNfEEGqMzk3OVT+Trvyy2u1JaPE7HIAAABwGghSHURxVZ0qa12yWS2KCmR9VGfisFs1ule4JKb3AQAAdBQEqQ6icVpfdKC37DZ+2zqbC49O71uxmyAFAADQEfCNvIPILPruRrzofMYdvZ/UliMlyi2rNrkaAAAAnApBqoP4rtEE94/qjCIDvDUwLkiStGJ3nsnVAAAA4FQIUh1AaXWdSqvrZbFIMTSa6LQap/d9zjopAACAdo8g1QE0duuLDHDKYee3rLNqbIP+xd581da7Ta4GAAAAJ8O38g4gg/VRXcKguCCF+ztUXlOv9YcKzS4HAAAAJ0GQ6gAa10cRpDo3q9Wisb0bRqVogw4AANC+EaTauYqaehVV1kmSYglSnV7j9L7ltEEHAABo1whS7Vzj+qhwf4e8vWwmV4PWNrp3uOxWiw7kVehwQYXZ5QAAAOAECFLtHNP6upZAby+dmxwiie59AAAA7RlBqp0jSHU9F/ZpnN7H/aQAAADaK4JUO1Zd51J+ea0k1kd1JY3rpNYeKFBlbb3J1QAAAOB4CFLtWGZJw2hUsK+X/Jx2k6tBW+kZ6a/4EB/V1rv11b4Cs8sBAADAcRCk2rHMompJTOvraiwWy3fd+1gnBQAA0C4RpNox1kd1XRceDVKf78qVYRgmVwMAAIAfIki1U/VuKbeMEamuKrV7mHy8bMourda2jFKzywEAAMAPEKTaqYJai9yGFOBtV6CPl9nloI15e9k0pne4JGnJjmyTqwEAAMAPEaTaqfzqht8aRqO6rov6RUuSFu/IMbkSAAAA/BBBqp3Kr7FIIkh1ZeNTImW1SLuyy5ReWGl2OQAAAPgeglR7ZLOrkCDV5YX6OXRucqgkaelORqUAAADaE4JUO+SM7i23LPLxsinYl/VRXdmkflGSpCVM7wMAAGhXCFLtkDOhvyQpLsRHFovF5GpgpouOBqmvDxaqpLLO5GoAAADQiCDVDnknDJDEtD5ISWF+6h3lL5fb0Oe7uTkvAABAe0GQamdcbkPOuL6SCFJocBHT+wAAANodglQ7c7C4Tlanr7wshsL8HWaXg3agsQ36it25qql3mVwNAAAAJIJUu7Mjr1aSFOY0ZGV9FCQNigtSZIBTFbUurdlfYHY5AAAAEEGq3WkMUuHebpMrQXthtVo08ej0vkXbmd4HAADQHpgapFatWqVp06YpNjZWFotFH330UZP9N998sywWS5PHxRdf3OSYwsJCXXfddQoMDFRwcLBmzJih8vLyNnwXLcftNrQjvyFIRTgNk6tBe3Jx/4bpfUt2ZMvl5rMBAABgNlODVEVFhQYPHqw5c+ac8JiLL75YWVlZnsfbb7/dZP91112n7du3a8mSJVqwYIFWrVql22+/vbVLbxV7c8tVXmvIXVutYAdflvGd1B5hCvS2K7+8VusPFZpdDgAAQJdnN/PiU6ZM0ZQpU056jNPpVHR09HH37dy5UwsXLtS6det07rnnSpJeeuklXXLJJXr22WcVGxvb4jW3Jqfdqkt6+urd9z6VtedEs8tBO+Jls2pivyh9sDFDC7dna0T3MLNLAgAA6NLa/RqpFStWKDIyUn369NGdd96pgoLvFtuvWbNGwcHBnhAlSRMnTpTVatXXX399wnPW1NSotLS0yaM9SA73063nBKlw8V/MLgXt0JQBMZKkRduyZRiMWAIAAJipXQepiy++WG+88YaWLVump556SitXrtSUKVPkcjW0gM7OzlZkZGST19jtdoWGhio7O/uE5509e7aCgoI8j4SEhFZ9H0BLGN0rXL4OmzJLqrX5SInZ5QAAAHRp7TpIXX311brssss0cOBAXXHFFVqwYIHWrVunFStWnNV5Z82apZKSEs8jPT29ZQoGWpG3l00XpjT84GDhthP/oAAAAACtr10HqR/q3r27wsPDtW/fPklSdHS0cnNzmxxTX1+vwsLCE66rkhrWXQUGBjZ5AB3BlAENn+uF27KY3gcAAGCiDhWkjhw5ooKCAsXENKwVSU1NVXFxsTZs2OA5Zvny5XK73RoxYoRZZQKtZlyfSDnsVh0qqNTunDKzywEAAOiyTA1S5eXl2rRpkzZt2iRJOnjwoDZt2qS0tDSVl5frgQce0Nq1a3Xo0CEtW7ZMl19+uXr27KnJkydLkvr27auLL75Yt912m7755ht99dVXuvvuu3X11Vd3uI59wOnwd9o1pleEJOmzrUzvAwAAMIupQWr9+vUaOnSohg4dKkm6//77NXToUD3yyCOy2WzasmWLLrvsMvXu3VszZszQsGHD9MUXX8jpdHrO8dZbbyklJUUTJkzQJZdcogsuuEB///vfzXpLQKv7bnofQQoAAMAspt5Haty4cSdd57Fo0aJTniM0NFTz5s1rybKAdm1i3yh52SzanVOmfbnl6hnpb3ZJAAAAXU6HWiMFQAry9dIFPcMlSQu2ZJpcDQAAQNdk6ogUgDNz6aBYfb47T59sztQvJvSSxWIxuyQAzZSWlqb8/Hyzy2hx4eHhSkxMNLsMAGh1BCmgA7qof5QcH1q1P69Cu7LL1DeGFv5AR5KWlqaUvn1VVVlpdiktzsfXV7t27iRMAej0CFJABxTo7aVxvSO0eEeOFmzJJEgBHUx+fr6qKit13YPPKCqxh9nltJictP1666kHlJ+fT5AC0OkRpIAO6tLBsUeDVJZ+NakP0/uADigqsYfie/U3uwwAwBmg2QTQQU1IiZS3l1WHCyq1LaPU7HIAAAC6FIIU0EH5Oe2a0DdKEt37AAAA2hpBCujApg2KkSQt2JJ10nuyAQAAoGURpIAObFyfSPk5bMoortLGtGKzywEAAOgyCFJAB+btZdNF/Rqm932ymel9AAAAbYUgBXRwlw+Nk9QQpOpcbpOrAQAA6BoIUkAHN7pnuML9HSqoqNUXe/PMLgcAAKBLIEgBHZzdZtW0wbGSpA+/ZXofAABAWyBIAZ3AlUPjJUmLt2errLrO5GoAAAA6P7vZBQA4ewPiAtUjwk/78yr02bZs/fTcBLNLAnAaDEOqrK1XeU29auvdqql3q7a+Ya2j1WKR1dIw6uzrsMnPaZevl01Wq8XkqgEAEkEK6BQsFouuPCdezyzarQ83ZhCkgHaous6l7Zkl+jatWCu2FCn6phf08REv1acfbNZ5Ar3tCvN3KtTPoXB/h2KCfBTobZfFQsACgLZEkAI6icuHxOqZRbu19mCBMourFBvsY3ZJQJdmGIb25pZr+a5cLd+Zq2/Ti1Tn+u7G2c7onqo/+tTXYZPTbpXTbpPDbpVFkssw5HYbqnMbqqypV2WtS4ak0up6lVbX62B+hedc/k67YoO9lRDiq27hfvJz8s87ALQ2/qYFOon4EF+N6Baqrw8Wav6mTN05rofZJQFd0v68cn2w8Yg+3pyp9MKqJvvC/R0amhiiSFulnn/0AV13z/9T7z59Zbedesmy2zBUVetScWWd8itqVFBeq7yyGuWWVau8pl57csq1J6dckhQZ4FT3CD/1jgxQiJ+jVd4nAHR1BCmgE/nR0Dh9fbBQH357RD8f252pPkAbqap16aNNGXp3Xbo2pRd7tjvsVp3fI0zjUyI1tneEEkN9ZbFYtHHjRv1h/zcK9NJphSipYc2Un9MuP6ddcSHfjTjXudzKLqlWRnGVDhVUKKe0RrllDY+1BwoVGeBUSnSAekcFMFIFAC2Iv1GBTmTKwBg98vF27ckp19aMEg2KDza7JKBTyyqp0htrDuvtb9JUXNnQMdNmtWhMr3BdeU68JvSNlK+jdf+p9bJZlRDqq4RQX43sHqaKmnodLKjQ/txyHS6s9ISqL/flq3uEvwbGBSkhxIcftADAWSJIAZ1IkI+XpgyI1vxNmXp3XTpBCmglhwsq9PLyffrw2wzVuxsWOiWE+uiGkUm6YmicIgO8TavNz2nXgNggDYgNUmVtvfbmlGtXdpmyS6u1L7dc+3LLFeTjpSEJweofGyiv0xwRAwA0RZACOpmrhido/qZMfbwpUw9N7Scfh83skoBO41B+hV5avk8fbcqQ62iAGtEtVD+7oJsm9o2SrZ21Jvd12DU4IViDE4KVV1ajbRkl2pVdppKqOq3ck6evDxZocHywBscH83cFADQTQQroZEZ2C1NiqK/SCiv16dYsTR8Wb3ZJwFlJS0tTfn6+qTUUV7v03o5yLd5fqcbGe+dEO/WT/v7qE+aQajK1eVPmaZ9v586drVTpiUUEOHVhSqQu6BWunVml2phWrJKqOn19sFAbDhepf2ygzkkMUaCPV5vXBgAdEUEK6GSsVouuGp6gZxbt1rvr0glS6NDS0tKU0revqiorTbm+xe5QwPArFDTix7I6fSVJVQfWq/jLefowa48+PMvzl5eXn32RzeRls2pQfLAGxAVpX265NhwuUm5ZjTYfKdGWjBL1ivTX8ORQhfs727w2AOhICFJAJzT9nHj9afFufXOoUAfyytU9wt/skoAzkp+fr6rKSl334DOKSmy7lv6GIWVWWbSlyK5KV8N0vWAvtwaGuBSZOEgaN+iszr/zm5X67PUXVV1d3RLlnhGrxaLeUQHqFemv9KIqbThcpLTCSk8b9d5R/hrZPUwhvrRPB4DjIUgBnVB0kLcu7BOpZbty9e76dM2a0tfskoCzEpXYQ/G9+rfJtQorarVyT57SChtGwfyddo3qGaY+UQEt1ukuJ21/i5ynJVgsFiWG+iox1Fe5ZdVad6hI+3IbwtTe3HL1jQ7UiG6hTPkDgB8gSAGd1E+HJ2jZrlz9d0OGfjWpD525gFNwuQ2tO1SodYcK5TYa2pgPSwzRuckhXebPT2SAt6YOjFFuWbXWHijUwfwK7cgq1a7sUg2IDdLwbqHy515UACCJIAV0WuNTIhXu71R+eY2W78rV5P7RZpcEtFtZJVVatjNXBRW1kqRu4X4a2ztCQV10FCYywFuXDY5VVkmV1hwoUHphlbZklGh7VqkGxwfp3ORQ+XjR5Q9A19Y1fsQGdEFeNqumD4uTJL31dZrJ1QDtU229Wyv35Ok/64+ooKJWPl42TRkQrWmDYrpsiPq+mCAfXTk0XtPPiVNMkLdcbkMb04o1d/UhrTtUqDqX2+wSAcA0BCmgE7v2vERZLNKqPXk6mF9hdjlAu3K4oEJvfn1Ym9KLJUl9owN0Q2qSerfgWqjOIj7EVz8ZFq/LB8cq3N+h2nq3Vu8v0OtrDmlbRoncR++pBQBdCUEK6MSSwvx0YZ9ISdKbaw+bXA3QPlTXubR4R7Y+2pSpsup6BXjbdcWQWE3qH810tZOwWCxKDvfTteclanK/KAV421VR49KyXbl68+vD2pdbLoM8BaALYY0U0MndkJqk5bty9Z/16frlpN7ydfDHHl2TYRjal1uuz3fnqarOJUkaEh+s1B5hctj5ueLpslgsSokJVM8of209UqJvDhWqqLJO/9uapVCHXc74tumuCABm418OoJMb2ytCSWG+Kquu10ffZppdDmCK8up6LdiSpU+3ZauqzqVQP4d+em68xvaJIESdIbvVqqGJIbr5/GSdlxwqu9Wiwlqroq97Sr//olC7skvNLhEAWhX/egCdnNVq0Q0jkyRJb6w5JIO5N+hCDMPQ1owS/XvtYR3Ir5DVIo3oFqprzktQTJCP2eV1Ck67Tak9wnTz+cnq7u+S4XZpQ1aNprz4he7/zyYdKao0u0QAaBUEKaAL+MmwBHl7WbUru0zrDhWZXQ7QJooqa/XfjRlavitXtS63ogKduua8RI3sHia7lX/+Wpqf066hoS5l/vNOnR/vLcOQPtiYofHPrtSTC3ao8GhreQDoLPiXBOgCgny99KOhDa3QX19zyNxigFbmdhtaf7hQb32dpoziKtmtFo3pFa6fnpugcH+n2eV1evVFmfrV+SGaP3OUUruHqdbl1qtfHtTYpz/XnM/3qbK23uwSAaBFEKSALuKGkcmSpEXbspVVUmVuMUArySur0bvr0/XVvgK53IYSQn10/cgkDU0MkZWW5m1qcEKw5t02Qq//7Dz1jQlUWU29nlm0W+OeWaF5X6epnntQAejgCFJAF9EvNlAjuoWq3m3ota8OmV0O0KLqXG59uS9fb69LU25ZjZx2qy7qG6UfDYnjxromslgsGts7Qv+75wK9cNUQxYf4KLesRr/5cKsmPb9Kn23NYt0mgA6LPshAF3LH2O76+mCh5n2dprvH91Sgd9f8gpmWlqb8/Hyzy2hx4eHhSkxMNLuMNrc/r1wr9+SprLphylivSH+N7R0hPyf/xLUXVqtFVwyN05SB0Zr3dZpeWr5PB/IrdOdbGzU4IVj/7+IUpfYIM7tMAGgW/pUBupBxvSPVO8pfe3LKNe/rNP18bA+zS2pzaWlpSunbV1WVna+TmI+vr3bt3NllwlRpVZ1W7MnTwfwKSVKAt13jekeoe4S/yZXhRJx2m24Z1U0/Hhavf3xxUP/84oA2pxfrmn+s1bg+Efr15BT1iw00u0wAOC0EKaALsVotun1MD/3qvc3615cHdcuoZDntNrPLalP5+fmqqqzUdQ8+o6jEzhMkc9L2662nHlB+fn6nD1Iut6GNaUX65mCh6t2GrBbpnMQQndctVF42Zqx3BAHeXrr/ot66fmSiXlq2T29/k6YVu/O0ck+erhgSp/sv6q2EUF+zywSAkyJIAV3MZYNj9eyi3courdb8bzP10+EJZpdkiqjEHorv1d/sMtBMaYWVWrE7V0WVdZKk+GAfXZgSqVA/h8mV4UxEBnjrySsGaMYF3fTs4t1asCVLH36bof9tydL1I5N09/ie/N4CaLf40R3QxTjsVv3sgmRJ0t+/OCC3m4XeaP/K6qSPN2fqw28zVFRZJx8vmyb3i9KV58TxRbsTSA7308vXnqNP7r5Ao3o2tEz/11cHNebpz/XSsr20TAfQLhGkgC7omvMSFeC0a19uuZbvyjW7HOCEiqtdCpl4h5ZkeelgfoUsFmlwfJBuSk1SSkygLLQ071QGxgfprVtH6t8zzlP/2ECV19TrT0v2aOwzK/Tm2sOqo2U6gHaEqX1AFxTg7aXrRibpryv36+XP92lC30i+kKJdKams09+/2K9Xv8hT4LBpMiR1C/fTBT3DGYHqAHbu3HlWr/eT9PgoX61Ot+qtrWXKKavRQx9t05ylO3X1gACdH+8tm7Xt/87qqp0xARyfqUFq1apVeuaZZ7RhwwZlZWXpww8/1BVXXOHZbxiGHn30Uf3jH/9QcXGxRo0apVdeeUW9evXyHFNYWKh77rlHn3zyiaxWq6ZPn64XX3xR/v50bQJOZsYF3TR39UFtSi/Wij15urBPpNklASqprNPc1Yf0zy8PeNqZ12Tu0cQh3XTOwFiTq8OplBbmSZKuv/76ljup1a6AIRcr6PyrlaVgPb+2WE/lp6lk9Tuq3PWlZLTdKFVX64wJ4ORMDVIVFRUaPHiwfvazn+nKK688Zv/TTz+tP//5z3r99dfVrVs3Pfzww5o8ebJ27Nghb29vSdJ1112nrKwsLVmyRHV1dbrlllt0++23a968eW39doAOJSLAqRtTk/X3VQf0/JI9Gtc7glEpmCantFqvfnlQb609rIpalyQpJTpAV/Sw687L7lfkyA9MrhCno6q8VJI09Y7fqs+gYS167jq3tK+sXntLbVJ4oiIu+7UCpv9KfQPdivd1q7X/+upKnTEBnB5Tg9SUKVM0ZcqU4+4zDEMvvPCCHnroIV1++eWSpDfeeENRUVH66KOPdPXVV2vnzp1auHCh1q1bp3PPPVeS9NJLL+mSSy7Rs88+q9hYfnoJnMwdY7rrzbWHteVIiZbtzNXEflFml4QuZsuRYr2++rA+2Zyp2qPrX1KiAzTzwp6aOjBGmzZ9a3KFOBNhsUmt0hWzm6Qx9S5tSi/Wt2nFKquTvimwan+1Q+d1C1WvSH9+IASgzbTbNVIHDx5Udna2Jk6c6NkWFBSkESNGaM2aNbr66qu1Zs0aBQcHe0KUJE2cOFFWq1Vff/21fvSjHx333DU1NaqpqfE8Ly0tbb03ArRjYf5O3XR+sl5ZsV/PL93DWim0icraen26NVtvrj2sTenFnu3Dk0N017ieGteH0VGcmNNu04huYRoSH6xN6cXamF6sgopafbYtW9/4OTSiW6h6EqgAtIF2G6Sys7MlSVFRTX9CHhUV5dmXnZ2tyMim6zrsdrtCQ0M9xxzP7Nmz9fjjj7dwxUDHdPvo7npj9SFtzyzV4h05mtw/2uyS0Am53Ya+Plio/248ok+3Zqny6PQ9h82qSwfF6IbUJA1NDDG5SnQkTi+bRnQP05CEYH2bXqxvjwaqT7dlK4xABaANtNsg1ZpmzZql+++/3/O8tLRUCQld86akQIifQ7eM6qaXP9+n55fs0UV9o2Q1oRsWOp96l1vfHCzUZ9uytWh7tnLLvpsJkBTmq58Mi9fV5yUq3N9pYpXo6JxeNo3sHqahCcHamF6sTWnfC1T+RwNVBIEKQMtrt0EqOrrhp+I5OTmKiYnxbM/JydGQIUM8x+TmNr0HTn19vQoLCz2vPx6n0ymnk3+4gUa3ju6m11cf0q7sMn28OVNXDI0zuyR0UNkl1Vq1J08r9+bpq335Kq6s8+wLcNo1dVCMfjwsXsOSQvhiixbl9LIp9Wig+jatWJvSi1VQXqtPt2Yr3N+hEd3C1CPCj88dgBbTboNUt27dFB0drWXLlnmCU2lpqb7++mvdeeedkqTU1FQVFxdrw4YNGjasoTvQ8uXL5Xa7NWLECLNKBzqcYF+Hfj6uh55ZtFtPLdylyf2j5eOwmV0W2jmX29DB/AptTCvS+kOFWneoSAfzK5ocE+LrpYv6RWnKgBid3zNMTjufK7Quby+bUnuEaWjid4Eqv7xW/9uapQh/p0Z0D1X3cAIVgLNnapAqLy/Xvn37PM8PHjyoTZs2KTQ0VImJibr33nv1u9/9Tr169fK0P4+NjfXca6pv3766+OKLddttt+mvf/2r6urqdPfdd+vqq6+mYx/a1NnefLI9OMfPULivTVkl1Xr83S9119hutPiFR0lVnXZllWpXdpl2ZpVqZ1apdueUqbqu6T18LBZpcHywxvSO0Nje4RocHyy7zWpS1ejKGgPVkMRgfZtWpE3pxcorr9GCLQQqAC3D1CC1fv16XXjhhZ7njeuWbrrpJs2dO1e//vWvVVFRodtvv13FxcW64IILtHDhQs89pCTprbfe0t13360JEyZ4bsj75z//uc3fC7qmVrn5pIl8+45RxGW/1rxv8/XyL6/TjvWrCVNdhNttKK+8RumFlUovqlR6YZXSCisbnhdWKrOk+riv8/ayamBckIYnh2p4cqjOSQxRkK9XG1cPnJiPl03n9wjX0MQQbTxcpM1HvgtUkQFOjegWqm4EKgBnwNQgNW7cOBmGccL9FotFTzzxhJ544okTHhMaGsrNd2Ga1rz5pBkMQ1qR41ahvOU9/MfceLKTKa2u8wSj9MIqpRdVesLSkaIq1dS7T/r6uGAf9Y0JUEp0oPrGBKpvTICSwvxkozkJOgAfL5tG9QzXOYkh2pjWEKhyy2r0SWOg6h6qbmEEKgCnr92ukQI6kta6+aQZLoqq1rvr0+U3YIL2F9XpHLMLQrNU1rm1LaNEB/MrdCi/QgcLGv57qKBShRW1J32t1SLFBPkoMdRXCaE+SgjxVWKYr+JDfNUzwp+RJnQKPo7vAtWGtCJtaQxUmxsC1cjuYUoO8yVQATglghSAJqKDvJXg61J6pU3/3Fii6RcatENvhwzDUEWtS7ll1corq1Fanl1xd/xT13+YIynnhK8L9XMoIdRXCSE+Sgj1bQhNIQ3/jQn2lhfrmdBF+DhsuqBnuM5JDNbGtGJtTm8IVB9vzlRUoFMju4UpiUAF4CQIUgCOMSDYpcPFtdpdIL31TZpuGJlkdkldXr3LrezSamUUVSmrpFq5ZTWqqnN97wir7MENt30I93coOcxPSWF+6hbuq+Rwv6PPfRXgzagS8H2+DrsnUG04XKQtR0qUU1qj+ZszFR3orRHdQ5UU6mt2mQDaIYIUgGP42qXila8r9KKf66nPdumivlGKDvI+9QvRYgzDUE5ZjdIKKnW4oELZpdVy/2BJqUUNI0wRAU55VRdpySsPa/G7/9KYkeeaUjPQkfk67BrdK8KzhmrLkRJll1Zr/qaGQNXDycgUgKYIUgCOq+zbTzXy6nu0p6BOD320Tf+4cRhTXFpZvcutw4WV2p9brkMFlT8YcZL8nDbFBfsoNthHUQHeCvd3eFqLH9lboAVpW+XvYGoecDb8nN8Fqg3fC1TZ8lLU9c9oa24Na0cBSCJIATgRw627zg3SA0sLtHRnjj7blq1LBsaYXVWnU+9261B+pXbnlOlQfoXqvzfs5LBZlRDqo6QwPyWE+CjIx4swC7QRP6ddY3pFaFhiiNYfLtKWI0XyjuurR1cUamnG1/r15BQNjA8yu0wAJiJIATihxCAv3Tmup/68bK8emb9d5/cIU7Cvw+yyOjzDMJRVUq2dWaXam1vepO14gLddPSL81SPCTzFBPrQWB0zm57RrbO8Ixbpz9c7HixQ6fJq+2JuvL/Z+qUsGRuuXk/qoR4S/2WUCMAFBCsBJzbywh/63JVP78yr04H+36K/XM8XvTFXXubQzq1TbMkubtCL3c9rUJypAvaMCFBng5NcXaId8bFLR0r/prYd/piVZDn24KUOfbs3Wou05+vE58frFxF6KDfYxu0wAbYggBeCknHabXrhqqK585Sst2p6jN7+mi19zFVbU6tu0Iu3MLpPr6NQ9u9WiXlH+6hsdqLgQH1kJT0CHEOVv13NXDdHtY7vr2UW7tXRnrt5dn64PN2XoxpFJuuvCngr1Y+Qe6AoIUgBOaWB8kB68OEW/+99OPblgh85NClHfmECzy2rXDMNQelGVNqYV6XBBpWd7uL9DA+KClBIdIKfdZmKFAM5GSnSg/nnTcG04XKinFu7WNwcL9c8vD+qddem6bXR3zRjdTf5OvmYBnRntnQCclhkXdNP4lEjV1rt197yNqqytN7ukdqne7daOrFLN+yZNH36b4QlRPSL89ONh8br2vEQNjg8mRAGdxLCkUL17+0jNvWW4+sUEqrymXs8v3aNxz3yuN9ceVr3LfeqTAOiQCFIATovFYtEzPx6kqECn9udV6KGPtskwjFO/sIuoc7m1Ma1Ic786pCU7cpRfXiu71aLB8UG6KTVJlw6KVVywD+ufgE7IYrFoXJ9ILbjnAr10zVAlh/kqv7xWD320TRe/+IWW78rh70ugE2LMGcBpC/N36oWrhuq6f67VBxsz1CsyQHeO62F2Waaqd7m1NaNE6w8XqbK24b5Pfk6bBscHa2BckLy9GHkCugqr1aJpg2N18YBovbX2sF5ctlf7csv1s7nrNapnmH57ST/1i2VaNNBZMCIFoFlSe4TpkUv7SZKeWrhLn27NMrkic9S73Po2rUivrT6kVXvzVVnrUoC3XRNSInXL+d00PDmUEAV0UV42q24e1U0rHrhQd4zpLofNqq/2FWjqS1/ogfc2K6e02uwSAbQARqQANNvNo7rpUEGl5q4+pPve3aToIG+dkxhidllt4ngjUAHedp2XHKq+MYHc9wno5Hbu3Nms4ydHS0Mmh+nNrWX6Kr1a7204oo83ZejyPn66vI+ffLzM/5l2eHi4EhMTzS4D6HAIUgDOyMOX9lNaYaWW78rV7W+s1/s/P1/J4X5ml9Vq6l1ubcss1fpDhaogQAFdTmlhniTp+uuvP+NzOGL7KOTCGVJ8P/1nR7nmfX1YJV++qfKtyyTDvKYUPr6+2rVzJ2EKaCaCFIAzYrNa9NI1Q/WTv67RjqxSXfX3NXr7tpHqHuFvdmkt6kQBanhyqPoRoIAuo6q8VJI09Y7fqs+gYWd8HsOQMqrqtK3YroqAMIVN+YW6X3aPBoe4FOHd9g0pctL2662nHlB+fj5BCmgmghSAM+bntGvuz4brun98rb255brq72v19m0j1DMywOzSzponQB0uVEUNAQpAg7DYJMX36n9W50iQdK7brS1HSvTNwUKV1Emrcq3qFemvC3qFK9Dbq2WKBdCqzJ+YC6BDiwzw1ju3j1RKdIDyymp01d/Wald2qdllnbE6l1ub0ov1+prDWrknTxU1Lvk77RrfJ1I3pSZrYFwQIQrAWbNbrTonMcTz94pF0t7ccv17zWGtPVDA/aeADoAgBeCshfk79fZtI9U/NlAFFbX6yV/X6PPduWaX1Sy19W6tP1So1746pJV78lReU/9dgDo/SQPjCVAAWp6Pw6bxKZG65rxExQX7qN5t6OuDhXpj7WHtzSnj/lNAO0aQAtAiQvwcmnfrSA1LClFZdb1+Nned5ny+r91/Caiuc2ntgQL966uD+mp/garqXAr0bhqg7Fb+qgTQuiICnJp+TpymDIiWv9Ousup6fbotWx9szFBeWY3Z5QE4DtZIAWgxQb5emnfbCD328Q69/U2anlm0W1uPlOjpnwxqd3P+q13SV/vyteVIiWqPTqEJ8fXS8ORQ9Y4KYPQJQJuzWCzqHRWgbuF+2nC4SOsPF+lIcZXe/iZNA+KClNojTD7cnw5oNwhSAFqU027T7CsHamBckB79eJsWbs/WxrQiPXZZf00ZEC2LxdyAsr+wTmFT79enGV4yVCRJCvd3aHhyqHpG+stqcn0A4GWzamT3MPWLCdSX+/K1N7dcWzNKtCenTKndwzQwLkhWftgDmI4gBaBVXDsiUSkxAfrlfzbrYH6F7nproyakROrxy/srPsS3TWuprK3X/7Zk6Z116dpwuEj+A8bLkBQT5K1zk0LULdzP9IDXUpp7s9D2rrO9H6A5An28dMnAGB0pqtTKPXnKL6/Vij152pZZonG9IxUX4mN2iUCXRpAC0GrOSQzRZ78Yrb98vk+vrNyvZbty9cXefP1oaJxuH9tdPVrxnlMut6H1hwr10aYMfbI5S+U19ZIkm0Uq2fa5po2/QIMG9Gq167e1lrhZaHtWXl5udgmAaeJDfHXN8ERtzSzRmv0Fyi+v1fsbj6h3lL9G94yQvzdf5wAz8CcPQKvy9rLp/kl9dNmQWD380XatOVCgd9en6z8b0jW5X7R+cm68RvUMl3cLzPuvqnVp3aFCLdqerUXbc5Rf/t0C7aQwX/303AT1cRTpoj/+SaFTRp319dqTlrpZaHuz85uV+uz1F1VdXW12KYCprFaLBscHq3dkgFbvz9e2zFLtySnXwfwKDU8O1dDEYBrjAG2MIAWgTfSMDNDbt4/UhsOFemXFAS3dmaOF27O1cHu2/Bw2jesTqbF9ItQvJlA9I/1PGaxcbkNphZXal1uuLUeKtfZAgTalF6vO9V2XwEBvuy7qF60fD4vXiG6hslot2rhxY2u/VVO1xM1C25OctP1mlwC0Kz4Omyb0jdKAuCCt3JOnrJJqrd5foB2ZpRrTO0Ldwv3MLhHoMghSANrUsKRQ/fOmUO3JKdNbaw9r0fYcZZdW639bs/S/rVmSJJvVouQwX4X5OeXntMnf20tWi1RWXa/SqjoVV9UprbBStfXH3rAyOtBb4/pEaMrAGKV2D5PDzk9oAXQ+UYHe+smweO3KLtOX+/JVXFWnjzdnqlu4n8b0Clewr8PsEoFOjyAFwBS9owL0+OUD9Nhl/bXlSIkWHe3utyu7TMWVddqfV6H9eRUnPYfTblWPCH+lRAdoRPdQjewepsRQ307TOAIATsZisahvTKC6R/jpm4OF2pRerIP5FUorqNQ5ScEanhwqLxs/TAJaC0EKgKksFosGJwRrcEKwJMkwDOWU1mhfbrlKqupUXlOn8hqX3G5DgT52BXp7KcDbS4mhvooL8eF+TwC6PKfdptG9ItQ/tmG6X1phpdYdKtLOrDKN7hWuXpH+/IAJaAUEKQDtisViUXSQt6KDvM0uBQA6lFA/h64YEqv9eRX6Ym+eSqvr9dm2bG0N9tHYPhEK93eaXSLQqTDeCwAA0ElYLBb1jPTXDSOTNKJbqGxWi44UV2neN2lasTtXNXUus0sEOg2CFAAAQCdjt1k1snuYbhyZpB4RfjIMafOREr2+5rC2ZZTIMIxTnwTASRGkAAAAOqlAHy9dOihWPxoap1Bfh6rqXFq2K1fvrk9Xdgn3ZwPOBkEKAACgk0sM9dW1IxI1ule4HDarckpr9O76dK0vsMnqG2x2eUCHRJACAADoAmxWi85JDNGNqUnqGxMgSTpcYVPc7X/Xf3eWq5r1U0CzEKQAAAC6ED+nXZP6Reun58YrxOGW1emrt7aWacKfVmr+pgzWTwGniSAFAADQBcUE+ejCqHrlf/Kswnysyiiu0i/e2aQrX1mtDYeLzC4PaPcIUgAAAF2UxSJV7Fihl6dE6pcX9Zavw6Zv04o1/ZXVunveRqUXVppdItBuEaQAAAC6OKfdonsm9NKKX43TVecmyGKRFmzJ0vg/rdBjH29XfnmN2SUC7Q5BCgAAAJKkyEBvPfXjQVpwzwW6oGe46lyG5q4+pLFPf64Xlu5ReU292SUC7QZBCgAAAE30jw3Sm7eO0JszRmhgXJAqal16YelejX36c8396qBq691mlwiYjiAFAACA47qgV7jmzxyll68dquQwXxVU1OqxT3ZownMr9MHGI6p3EajQdRGkAAAAcEJWq0WXDorVkvvH6ndXDFBEgFPphVW6/z+bddHzqwhU6LIIUgAAADglL5tV149M0soHxunXF/dRiK+XDuZXEKjQZRGkAAAAcNp8HXbdNa6nvnhwPIEKXVq7DlKPPfaYLBZLk0dKSopnf3V1tWbOnKmwsDD5+/tr+vTpysnJMbFiAACArsHf+V2gevDilCaBavyfVuqNNYdUVesyu0yg1bTrICVJ/fv3V1ZWlufx5Zdfevbdd999+uSTT/Tee+9p5cqVyszM1JVXXmlitQAAAF2Lv9OuO8f10JdHA1Won0NphZV6ZP52nf/HZXp+yR4VVtSaXSbQ4uxmF3Aqdrtd0dHRx2wvKSnRq6++qnnz5mn8+PGSpNdee019+/bV2rVrNXLkyLYuFQAAoMvyOxqobj4/We9tSNc/vjig9MIqvbhsr/62ar9+MixBt47upqQwP7NLBVpEux+R2rt3r2JjY9W9e3ddd911SktLkyRt2LBBdXV1mjhxoufYlJQUJSYmas2aNSc9Z01NjUpLS5s8AAAAcPZ8HDbdmJqsz385Ti9fO1QD44JUXefWv9ce1oXPrtDP/71Bq/flyzAMs0sFzkq7DlIjRozQ3LlztXDhQr3yyis6ePCgRo8erbKyMmVnZ8vhcCg4OLjJa6KiopSdnX3S886ePVtBQUGeR0JCQiu+CwAAgK7HbrPq0kGx+vjuUZp32wiN7R0htyEt3J6ta//5tSY+t1Jzvzqo0uo6s0sFzki7nto3ZcoUz/8PGjRII0aMUFJSkv7zn//Ix8fnjM87a9Ys3X///Z7npaWlhCkAAIBWYLFYdH6PcJ3fI1y7s8v077WH9OHGDO3Pq9Bjn+zQ04t264qhcbphZJL6xgSaXS5w2tr1iNQPBQcHq3fv3tq3b5+io6NVW1ur4uLiJsfk5OQcd03V9zmdTgUGBjZ5AAAAoHX1iQ7Q764YqLW/maAnL++vXpH+qqx1ad7XaZry4he68i9fad7XaSqpYpQK7V+HClLl5eXav3+/YmJiNGzYMHl5eWnZsmWe/bt371ZaWppSU1NNrBIAAAAnE+DtpRtSk7X4vjF65/aRmjooRnarRRvTivWbD7dq+O+X6u55G/X57lzuSYV2q11P7fvVr36ladOmKSkpSZmZmXr00Udls9l0zTXXKCgoSDNmzND999+v0NBQBQYG6p577lFqaiod+wAAADoAi8Wikd3DNLJ7mHLLqvXRtxn674YM7c4p04ItWVqwJUuRAU79aGicfnROnPpEBchisZhdNiCpnQepI0eO6JprrlFBQYEiIiJ0wQUXaO3atYqIiJAkPf/887JarZo+fbpqamo0efJk/eUvfzG5agAAADRXZIC3bh/TQ7eN7q7tmaV6f8MRzd+UodyyGv1t1QH9bdUB9Yjw09RBsZo6MEa9o/wJVTBVuw5S77zzzkn3e3t7a86cOZozZ04bVQQAAIDWZLFYNCAuSAPigvSbS/rq8925en/DEa3cnaf9eRX687K9+vOyvYQqmK5dBykAAAB0XQ67VZP7R2ty/2iVVtdp2c4c/W9LllbtyW8SqrpH+Gli3yhNSInUsKQQ2W0dqg0AOiiCFAAAANq9QG8v/WhovH40NP6YUHUgr0J/zzugv686oGBfL43rHaEJfaM0pneEgny8zC4dnRRBCgAAoIvbuXOn2SU0W5KkuwbadFOfCG3KqdH6zBptyKpWcWWdPtqUqY82Zcputejc5BCN6R2h0T0j1D82UFYrUwDRMghSAAAAXVRpYZ4k6frrrze5khZiscoZ11c+Pc+TX68RUmi81h4o1NoDhXpauxXi66VRPcM1ule4LugVobhgH7MrRgdGkAIAAOiiqspLJUlT7/it+gwaZnI1LScnbb/eeurnevHVeSr1i9fmnBpty61VUWWdp626JMUF2DQoyqnBUU4NiHTI16v9r60KDw9XYmKi2WVABCkAAIAuLyw2SfG9+ptdRotpHGn7xYxrv9totckZ00fe3YbIO3monDG9lVEmZZRV6rN9lTJc9arJ2q3qw5tVfXiLajJ3Sa56k97Bifn4+mrXzp2EqXaAIAUAAIBO5XRG2mrdLuVVu5VbbVVOtVUVsss7vr+84/tLo66VzWIozGko0tutSKehYIchszusN4y0PaD8/HyCVDtAkAJwQh1x8fGpdMb3BAA4vlONtHX/3v+XVNUpvahS6YWVOlJUpcpal3KrLcqtbpju57RbFR/io4QQXyWE+irE14t7V3VxBCkAx+h0i4+Po7y83OwSAADtSJCPl4J8gjQgNkiGYaigotYTqo4UVamm3q39eRXan1chSfJz2hpCVYivEkJ9FOBNm/WuhiAF4BiddfGxJO38ZqU+e/1FVVdXm10KAKCdslgsCvd3KtzfqaGJIXK7DeWW1Sjt6IhVVkm1Kmpc2pVdpl3ZZZIaglhCqI8SQ3wVH+IrH4fN5HeB1kaQAnBCnW3xsdQwvxwAgOawWi2KDvJWdJC3zksOVb3LrayS6qNTAauUU1qtkqo6lWTUaVtGww8jw/0dSghtGLGKC/aRw97+OwKieQhSAAAAQDPYbdaGkBTqK/WQaupdyiiqUnpRldILK1VQUav88obHt2nFslqkqEBvzzTA6CBv2a0Eq46OIAUAAACcBafdpu4R/uoe4S9Jqqip15GiKk/zitLqemWVVCurpFrfHJLsVotig32UGOqr5DBfhfo5aFzRARGkAAAAgBbk57SrT3SA+kQHSDraEbCw0jMVsKrOpbTCSqUVVurLfVKgt13dwv3ULdxPccE+stsYreoICFIAAABAKwry8VJQXJAGxDXtCHj4aFfA0up6bT5Sos1HSuRlsyghxFfdwv2UHO4nfydf19srfmcAAACANvLDjoB1LrfSCyt1ML9CB/MrVFHr0oH8Ch3Ib2izHhngVHK4n7qH+8kwTC4eTRCkAAAAAJN42aye9VWGYSivrEYHCxpCVU5pjXLLGh7fHCyUr81LIRfO0K78Wg1xG7JaWVdlJoIUAAAA0A5YLBZFBnorMtBbI7qFqaKmXocLKnUgv1yHCypV6ZICz/uRfrO8QC+uX6bJ/aN18YBonZccyroqExCkAAAAgHbIz2lXv9hA9YsNVJ3LrY3bdmnZyq8UPvhC5ZTW6I01h/XGmsMK9XPoor5RunhgtEb1COeeVW2EIAUAAAC0c142q+J8DeUveFYLHrlaFQHx+mxrtpbszFFhRa3eXZ+ud9enK8Dbrsn9o3XZ4Fid3yOMkapWRJACAAAAOhAvm0XjU6I0PiVK9S63vj5YqM+2ZWnR9hzlldXo/Q1H9P6GIwr3d+iSgTGaNjhWwxJDWFPVwghSAAAAQAdlt1k1qme4RvUM1+OXDdD6Q4X6eHOmPt2apfzyWs/0v9ggb00bHKtpg2PVPzaQGwC3AIIUAAAA0AnYrBaN6B6mEd3D9Nhl/fXVvnx9vDlTi7fnKLOkWn9bdUB/W3VA3cP9dOngWF02OFY9I/3NLrvDIkgBAAAAnYyXzapxfSI1rk+kqutc+nxXrj7ZkqllO3N1IL9Cf162V39etlcD4gJ1+eA4TRscq+ggb7PL7lAIUgAAAEAn5u1l05SBMZoyMEZl1XVasiNHH2/O1Bd787Uto1TbMkr1h892amS3MF0xNFYXD4hRkI+X2WW3ewQpAAAAoIsI8PbSlefE68pz4lVQXqNPt2Zp/qZMrT9cpDUHCrTmQIEe/mi7LkyJ0BVD4nRhSqS8vWxml90uEaQAAACALijM36kbUpN1Q2qy0gsr9fHmTM3flKE9OeVatD1Hi7bnKMBp18UDonX5kDil9giTjc5/HgQpAAAAoAPZuXNnq5w3NUgaOcZfh0u8tepwlb5Mr1J+Zb3e23BE7204omBvqy5I8NGYJG/1CPFq0c5/4eHhSkxMbLHztQWCFAAAANABlBbmSZKuv/76NrqiRc74fvLrP06+fS5QsQK0YG+FFuytUF3BEVXsXKmKHStVX5R51lfy8fXVrp07O1SYIkgBAAAAHUBVeakkaeodv1WfQcPa9NpuQ8quqlN6pVVZVVYpLF7BF1yn4AuuU4jDrQRftxL83PI+g+VUOWn79dZTDyg/P58gBQAAAKB1hMUmKb5X/za/bqKk8yTV1ru1P69cu7PLlFZUqaJaq4pqrdpaLCWE+qpPVIB6RPrJae/cTSoIUgAAAABOm8NuVd+YQPWNCVRFTb325ZZrV3aZskurlVZYqbTCSi3fbVG3cD+lRAcoKcxXdqvV7LJbHEEKAAAAwBnxc9o1OCFYgxOCVVJVp93ZZdqVXaqiyjrtyy3XvtxyOe1W9Yz0V5+oAMWF+Mjagk0qzESQAgAAAHDWgny8dF63UA1PDlFeeY12Z5dpT065ymvqtT2zVNszS+XjZVOPCD/1jPRXfIhvh26nTpACAAAA0GIsFosiA7wVGeCtUT3DlVlcpV3ZZdqXW66qOpe2ZZZqW2apnHarukf4KaTeItk6XizpeBUDAAAA6BCsFoviQ3wVH+KrC/tE6khRpfbllmt/XoWq6lzamVUmyUsJ97ylj3aV65xzzK749BGkAAAAALQ6m9WipDA/JYX56cIUQ5nFVdqXW67dWcWqdvrJz9GxGlJ0rGoBAAAAdHiNI1Xj+kTqktg6Zf37V0qN9za7rGYhSAEAAAAwjcUi1Wbukj8jUgAAAADQuRGkAAAAAKCZCFIAAAAA0EwEKQAAAABoJoIUAAAAADQTQQoAAAAAmokgBQAAAADN1GmC1Jw5c5ScnCxvb2+NGDFC33zzjdklAQAAAOikOkWQevfdd3X//ffr0Ucf1caNGzV48GBNnjxZubm5ZpcGAAAAoBPqFEHqueee02233aZbbrlF/fr101//+lf5+vrqX//6l9mlAQAAAOiE7GYXcLZqa2u1YcMGzZo1y7PNarVq4sSJWrNmzXFfU1NTo5qaGs/zkpISSVJpaWnrFnsaysvLJUlH9m5XTVWlydW0nJy0/ZKk7EN7tN/P1+RqWg7vq+PprO+N99Wx8L46ns763nhfHUtnfV95Rw5Kavge3B6+jzfWYBjGSY+zGKc6op3LzMxUXFycVq9erdTUVM/2X//611q5cqW+/vrrY17z2GOP6fHHH2/LMgEAAAB0IOnp6YqPjz/h/g4/InUmZs2apfvvv9/z3O12q7CwUGFhYbJYLG1WR2lpqRISEpSenq7AwMA2uy7aPz4bOBk+HzgRPhs4GT4fOBE+G00ZhqGysjLFxsae9LgOH6TCw8Nls9mUk5PTZHtOTo6io6OP+xqn0ymn09lkW3BwcGuVeEqBgYF8aHFcfDZwMnw+cCJ8NnAyfD5wInw2vhMUFHTKYzp8swmHw6Fhw4Zp2bJlnm1ut1vLli1rMtUPAAAAAFpKhx+RkqT7779fN910k84991ydd955euGFF1RRUaFbbrnF7NIAAAAAdEKdIkhdddVVysvL0yOPPKLs7GwNGTJECxcuVFRUlNmlnZTT6dSjjz56zDRDgM8GTobPB06EzwZOhs8HToTPxpnp8F37AAAAAKCtdfg1UgAAAADQ1ghSAAAAANBMBCkAAAAAaCaCFAAAAAA0E0HKRHPmzFFycrK8vb01YsQIffPNN2aXhDb22GOPyWKxNHmkpKR49ldXV2vmzJkKCwuTv7+/pk+ffszNp9E5rFq1StOmTVNsbKwsFos++uijJvsNw9AjjzyimJgY+fj4aOLEidq7d2+TYwoLC3XdddcpMDBQwcHBmjFjhsrLy9vwXaC1nOrzcfPNNx/zd8nFF1/c5Bg+H53P7NmzNXz4cAUEBPz/9u48JqqzbQP4NayOIo6IMFBlEwQVRNBCkRRQEDSWutalxq0pVEXrgtZg41L72lZtrGu0xlYkFavWtdalyuI6bggCiigUpOogCgVFUASe74/G83XKOr7CvMr1SyZhnm3uI3fOye0z5wALCwsMHToUmZmZGmMacx3Jy8vD4MGD0bp1a1hYWGDevHmorKxszkOhJtCY/AgICKhx7pgyZYrGGOZH3VhI6cjOnTsxZ84cLF68GFeuXIG7uztCQkJQUFCg69ComfXo0QNqtVp6nTlzRuqbPXs2fv31V+zevRsnT57EvXv3MHz4cB1GS03lyZMncHd3x4YNG2rtX7FiBdauXYtNmzbhwoULaNOmDUJCQvD06VNpzLhx43Dt2jUcP34chw4dwqlTpxAeHt5ch0BNqKH8AICBAwdqnEt27Nih0c/8ePOcPHkSEREROH/+PI4fP47nz58jODgYT548kcY0dB2pqqrC4MGDUVFRgXPnzmHbtm2Ijo7GokWLdHFI9Ao1Jj8AICwsTOPcsWLFCqmP+dEAQTrh5eUlIiIipPdVVVXC2tpafP311zqMiprb4sWLhbu7e619xcXFwtDQUOzevVtqy8jIEACESqVqpghJFwCIffv2Se+rq6uFUqkUK1eulNqKi4uFsbGx2LFjhxBCiOvXrwsA4tKlS9KYI0eOCJlMJu7evdtssVPT+3d+CCHExIkTxZAhQ+qcw/xoGQoKCgQAcfLkSSFE464jhw8fFnp6eiI/P18as3HjRmFqaiqePXvWvAdATerf+SGEEP7+/mLmzJl1zmF+1I87UjpQUVGBpKQkBAUFSW16enoICgqCSqXSYWSkC7du3YK1tTUcHBwwbtw45OXlAQCSkpLw/PlzjTxxcXGBjY0N86SFycnJQX5+vkYutGvXDt7e3lIuqFQqKBQK9OnTRxoTFBQEPT09XLhwodljpuaXmJgICwsLODs7Y+rUqSgsLJT6mB8tQ0lJCQDAzMwMQOOuIyqVCm5ubrC0tJTGhISE4NGjR7h27VozRk9N7d/58cL27dthbm4OV1dXREVFoaysTOpjftTPQNcBtEQPHz5EVVWVRlICgKWlJW7cuKGjqEgXvL29ER0dDWdnZ6jVanzxxRd49913kZ6ejvz8fBgZGUGhUGjMsbS0RH5+vm4CJp148fuu7Zzxoi8/Px8WFhYa/QYGBjAzM2O+tAADBw7E8OHDYW9vj+zsbCxYsACDBg2CSqWCvr4+86MFqK6uxqxZs+Dr6wtXV1cAaNR1JD8/v9Zzy4s+ejPUlh8A8OGHH8LW1hbW1tZITU3F/PnzkZmZib179wJgfjSEhRSRDg0aNEj6uWfPnvD29oatrS127doFuVyuw8iI6HUyZswY6Wc3Nzf07NkTXbp0QWJiIgIDA3UYGTWXiIgIpKena9xnS/RCXfnxz/sk3dzcYGVlhcDAQGRnZ6NLly7NHeZrh1/t0wFzc3Po6+vXeGrO/fv3oVQqdRQV/S9QKBTo2rUrsrKyoFQqUVFRgeLiYo0xzJOW58Xvu75zhlKprPGwmsrKShQVFTFfWiAHBweYm5sjKysLAPPjTTd9+nQcOnQICQkJ6NSpk9TemOuIUqms9dzyoo9ef3XlR228vb0BQOPcwfyoGwspHTAyMkLv3r0RFxcntVVXVyMuLg4+Pj46jIx0rbS0FNnZ2bCyskLv3r1haGiokSeZmZnIy8tjnrQw9vb2UCqVGrnw6NEjXLhwQcoFHx8fFBcXIykpSRoTHx+P6upq6cJILcedO3dQWFgIKysrAMyPN5UQAtOnT8e+ffsQHx8Pe3t7jf7GXEd8fHyQlpamUWgfP34cpqam6N69e/McCDWJhvKjNikpKQCgce5gftRD10+7aKl+/vlnYWxsLKKjo8X169dFeHi4UCgUGk9FoTdfZGSkSExMFDk5OeLs2bMiKChImJubi4KCAiGEEFOmTBE2NjYiPj5eXL58Wfj4+AgfHx8dR01N4fHjxyI5OVkkJycLAGLVqlUiOTlZ3L59WwghxDfffCMUCoU4cOCASE1NFUOGDBH29vaivLxcWmPgwIHCw8NDXLhwQZw5c0Y4OTmJsWPH6uqQ6BWqLz8eP34s5s6dK1QqlcjJyREnTpwQnp6ewsnJSTx9+lRag/nx5pk6dapo166dSExMFGq1WnqVlZVJYxq6jlRWVgpXV1cRHBwsUlJSxNGjR0XHjh1FVFSULg6JXqGG8iMrK0ssXbpUXL58WeTk5IgDBw4IBwcH4efnJ63B/KgfCykdWrdunbCxsRFGRkbCy8tLnD9/XtchUTMbPXq0sLKyEkZGRuKtt94So0ePFllZWVJ/eXm5mDZtmmjfvr1o3bq1GDZsmFCr1TqMmJpKQkKCAFDjNXHiRCHE349AX7hwobC0tBTGxsYiMDBQZGZmaqxRWFgoxo4dK0xMTISpqamYPHmyePz4sQ6Ohl61+vKjrKxMBAcHi44dOwpDQ0Nha2srwsLCavzHHPPjzVNbTgAQW7dulcY05jqSm5srBg0aJORyuTA3NxeRkZHi+fPnzXw09Ko1lB95eXnCz89PmJmZCWNjY+Ho6CjmzZsnSkpKNNZhftRNJoQQzbf/RURERERE9PrjPVJERERERERaYiFFRERERESkJRZSREREREREWmIhRUREREREpCUWUkRERERERFpiIUVERERERKQlFlJERERERERaYiFFRERERESkJRZSRETUaDKZDPv3738lay1ZsgS9evV6JWs1hYCAAMyaNavJP2f8+PH46quvmvxz6nP9+nV06tQJT5480WkcRESvExZSREQEAMjPz8eMGTPg4OAAY2NjdO7cGaGhoYiLi2uSz5s7d26Trf1PS5YsgUwmg0wmg4GBAezs7DB79myUlpbWO2/v3r348ssvmzS2q1ev4vDhw/j000+lNjs7O6xevbrG2H8Xng8ePMDUqVNhY2MDY2NjKJVKhISE4OzZsxprvTh2uVwOOzs7jBo1CvHx8Rprd+/eHe+88w5WrVr1yo+RiOhNxUKKiIiQm5uL3r17Iz4+HitXrkRaWhqOHj2Kfv36ISIiokk+08TEBB06dGiStf+tR48eUKvVyM3NxfLly7F582ZERkbWOraiogIAYGZmhrZt2zZpXOvWrcMHH3wAExMTreeOGDECycnJ2LZtG27evImDBw8iICAAhYWFGuOWLl0KtVqNzMxMxMTEQKFQICgoCMuWLdMYN3nyZGzcuBGVlZX/1TEREbUULKSIiAjTpk2DTCbDxYsXMWLECHTt2hU9evTAnDlzcP78+TrnpaWloX///pDL5ejQoQPCw8M1dnoSExPh5eWFNm3aQKFQwNfXF7dv3wZQc4dl0qRJGDp0KL799ltYWVmhQ4cOiIiIwPPnz6UxarUagwcPhlwuh729PWJjY+vcwfknAwMDKJVKdOrUCaNHj8a4ceNw8OBBjTi2bNkCe3t7tGrVCkDNr/Y9e/YM8+fPR+fOnWFsbAxHR0f88MMPUn96ejoGDRoEExMTWFpaYvz48Xj48GGdMVVVVeGXX35BaGhovbHXpri4GKdPn8by5cvRr18/2NrawsvLC1FRUXj//fc1xrZt2xZKpRI2Njbw8/PD5s2bsXDhQixatAiZmZnSuAEDBqCoqAgnT57UOh4iopaIhRQRUQtXVFSEo0ePIiIiAm3atKnRr1Aoap335MkThISEoH379rh06RJ2796NEydOYPr06QCAyspKDB06FP7+/khNTYVKpUJ4eDhkMlmdsSQkJCA7OxsJCQnYtm0boqOjER0dLfVPmDAB9+7dQ2JiIvbs2YPNmzejoKBA62OWy+XSzhMAZGVlYc+ePdi7dy9SUlJqnTNhwgTs2LEDa9euRUZGBr7//ntpJ6m4uBj9+/eHh4cHLl++jKNHj+L+/fsYNWpUnTGkpqaipKQEffr00Tp+ExMTmJiYYP/+/Xj27JnW82fOnAkhBA4cOCC1GRkZoVevXjh9+rTW6xERtUQGug6AiIh0KysrC0IIuLi4aDUvNjYWT58+RUxMjFSArV+/HqGhoVi+fDkMDQ1RUlKC9957D126dAEAdOvWrd4127dvj/Xr10NfXx8uLi4YPHgw4uLiEBYWhhs3buDEiRO4dOmSVHxs2bIFTk5OWsWdlJSE2NhY9O/fX2qrqKhATEwMOnbsWOucmzdvYteuXTh+/DiCgoIAAA4ODlL/+vXr4eHhofHQiB9//BGdO3fGzZs30bVr1xpr3r59G/r6+rCwsNAqfuDvHbbo6GiEhYVh06ZN8PT0hL+/P8aMGYOePXs2ON/MzAwWFhbIzc3VaLe2tpZ2DImIqH7ckSIiauGEEC81LyMjA+7u7hq7WL6+vqiurkZmZibMzMwwadIkhISEIDQ0FGvWrIFara53zR49ekBfX196b2VlJe04ZWZmwsDAAJ6enlK/o6Mj2rdv32CsaWlpMDExgVwuh5eXF3x8fLB+/Xqp39bWts4iCgBSUlKgr68Pf3//WvuvXr2KhIQEaafIxMREKkyzs7NrnVNeXg5jY+N6d+jqM2LECNy7dw8HDx7EwIEDkZiYCE9PT40dvPoIIWp8tlwuR1lZ2UvFQ0TU0rCQIiJq4ZycnCCTyXDjxo1XvvbWrVuhUqnQt29f7Ny5E127dq33nitDQ0ON9zKZDNXV1f91HM7OzkhJSUFGRgbKy8tx8OBBWFpaSv21faXxn+Ryeb39paWlCA0NRUpKisbr1q1b8PPzq3WOubk5ysrKNL5iCACmpqYoKSmpMb64uBjt2rXTaGvVqhUGDBiAhQsX4ty5c5g0aRIWL15cb6wAUFhYiAcPHsDe3l6jvaioqN6CkoiI/h8LKSKiFs7MzAwhISHYsGFDrX9HqLi4uNZ53bp1w9WrVzXmnD17Fnp6enB2dpbaPDw8EBUVhXPnzsHV1RWxsbEvFaezszMqKyuRnJwstWVlZeGvv/5qcK6RkREcHR1hZ2cHIyMjrT/bzc0N1dXVdT6IwdPTE9euXYOdnR0cHR01XnUVaS8etHH9+nWNdmdnZyQlJdUYf+XKlVq/IvhP3bt3b9TfglqzZg309PQwdOhQjfb09HR4eHg0OJ+IiFhIERERgA0bNqCqqgpeXl7Ys2cPbt26hYyMDKxduxY+Pj61zhk3bhxatWqFiRMnIj09HQkJCZgxYwbGjx8PS0tL5OTkICoqCiqVCrdv38bvv/+OW7duNXifVF1cXFwQFBSE8PBwXLx4EcnJyQgPD4dcLn/pr8c1lp2dHSZOnIiPPvoI+/fvR05ODhITE7Fr1y4AQEREBIqKijB27FhcunQJ2dnZOHbsGCZPnoyqqqpa1+zYsSM8PT1x5swZjfbZs2fjt99+w7Jly5CRkYH09HR8/vnnUKlUmDlzJoC/d5T69++Pn376CampqcjJycHu3buxYsUKDBkyRGO9x48fIz8/H3/++SdOnTqF8PBw/Oc//8GyZcvg6OgojcvNzcXdu3ele8CIiKh+LKSIiAgODg64cuUK+vXrh8jISLi6umLAgAGIi4vDxo0ba53TunVrHDt2DEVFRXj77bcxcuRIBAYGSvcetW7dGjdu3JAepx4eHo6IiAh88sknLx1nTEwMLC0t4efnh2HDhiEsLAxt27aVHlnelDZu3IiRI0di2rRpcHFxQVhYmLT7Y21tjbNnz6KqqgrBwcFwc3PDrFmzoFAooKdX96X2448/xvbt2zXa+vbtiyNHjuDIkSPw9fVFQEAAzp07h7i4OLi6ugL4+6l93t7e+O677+Dn5wdXV1csXLgQYWFhGvd+AcCiRYtgZWUFR0dHjB8/HiUlJYiLi8P8+fM1xu3YsQPBwcGwtbV9Ff9cRERvPJl42buMiYiIdOzOnTvo3LkzTpw4gcDAQF2Ho7Xy8nI4Oztj586dde78NYeKigo4OTkhNjYWvr6+OouDiOh1wsefExHRayM+Ph6lpaVwc3ODWq3GZ599Bjs7uzof6PC/Ti6XIyYmpt4/3Nsc8vLysGDBAhZRRERa4I4UERG9No4dO4bIyEj88ccfaNu2Lfr27YvVq1fz62hERNTsWEgRERERERFpiQ+bICIiIiIi0hILKSIiIiIiIi2xkCIiIiIiItISCykiIiIiIiItsZAiIiIiIiLSEgspIiIiIiIiLbGQIiIiIiIi0hILKSIiIiIiIi39H3e1F0DsVXtbAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"code","source":["# 2.1. Set the datetime column as the index\n","df.set_index('date', inplace=True)"],"metadata":{"id":"A2Q1X1gGMobr"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.2. Verify the index is datetime\n","print(\"Index Type:\", type(df.index))\n","# Get information about the DatetimeIndex\n","print(\"Index Info:\")\n","print(df.index)  # Print the index itself\n","print(\"Index Data Type:\", df.index.dtype)  # Get data type of the index\n","print(\"Index Frequency:\", df.index.freq)  # Check if index has a frequency\n","# Check if index is monotonic using alternative method for older Pandas versions\n","print(\"Index is Monotonic:\", df.index.is_monotonic_increasing or df.index.is_monotonic_decreasing)\n","print(\"Index is Unique:\", df.index.is_unique)  # Check if index values are unique"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9qr8Odb7Nyhr","executionInfo":{"status":"ok","timestamp":1745209143716,"user_tz":-330,"elapsed":6,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"0eb43ae6-97e8-44ff-a96c-d3a65a78a5c7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Index Type: <class 'pandas.core.indexes.datetimes.DatetimeIndex'>\n","Index Info:\n","DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n","               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n","               '2021-01-09', '2021-01-10',\n","               ...\n","               '2025-04-06', '2025-04-07', '2025-04-08', '2025-04-09',\n","               '2025-04-10', '2025-04-11', '2025-04-12', '2025-04-13',\n","               '2025-04-14', '2025-04-15'],\n","              dtype='datetime64[ns]', name='date', length=1566, freq=None)\n","Index Data Type: datetime64[ns]\n","Index Frequency: None\n","Index is Monotonic: True\n","Index is Unique: True\n"]}]},{"cell_type":"code","source":["# 2.3. Sort data chronologically to ensure proper time order\n","df = df.sort_index()"],"metadata":{"id":"9kXG4Ji8N08W"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.4. Check the frequency of the data\n","# For daily data we expect a frequency of 'D' or business day 'B'\n","print(\"\\nIndex Frequency:\")\n","if df.index.inferred_freq is not None:\n","    print(f\"Inferred Frequency: {df.index.inferred_freq}\")\n","else:\n","    print(\"No regular frequency detected. Checking for missing dates...\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LfRRrlPzOeRE","executionInfo":{"status":"ok","timestamp":1745209147025,"user_tz":-330,"elapsed":8,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"406d4119-0cef-4ee1-af40-677634f62f2d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Index Frequency:\n","Inferred Frequency: D\n"]}]},{"cell_type":"code","source":["full_date_range = pd.date_range(start=df.index.min(), end=df.index.max(), freq='D')\n","missing_dates = full_date_range.difference(df.index)\n","\n","if len(missing_dates) > 0:\n","    print(f\"Missing {len(missing_dates)} dates in the time series.\")\n","    print(\"First few missing dates:\")\n","    print(missing_dates[:5])\n","else:\n","    print(\"No missing dates detected. The time series is continuous.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wef8lwXFOjLX","executionInfo":{"status":"ok","timestamp":1745209150889,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5bc290b5-8cdb-4958-8184-d4e184b0fd40"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["No missing dates detected. The time series is continuous.\n"]}]},{"cell_type":"code","source":["# 2.5. Check for duplicate dates\n","duplicates = df.index.duplicated()\n","if duplicates.any():\n","    print(f\"\\nFound {duplicates.sum()} duplicate dates in the index\")\n","    print(\"First few duplicates:\")\n","    print(df[df.index.duplicated(keep=False)].head())\n","else:\n","    print(\"\\nNo duplicate dates found in the index\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ywb_RslsOur6","executionInfo":{"status":"ok","timestamp":1745209152884,"user_tz":-330,"elapsed":37,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"66fad8b5-c993-4f02-9276-8312f157fc2f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","No duplicate dates found in the index\n"]}]},{"cell_type":"code","source":["# 2.6. Convert timezone if needed (optional - if you want UTC or a specific timezone)\n","# If you want to standardize to UTC:\n","print(\"\\nCurrent timezone:\", df.index.tz)\n","df.index = df.index.tz_localize('UTC')\n","print(\"New timezone:\", df.index.tz)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VUH4U48jPOKC","executionInfo":{"status":"ok","timestamp":1745209156615,"user_tz":-330,"elapsed":12,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a1b9893e-b94f-4db5-a9a6-23e54212c1f5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Current timezone: None\n","New timezone: UTC\n"]}]},{"cell_type":"code","source":["print(\"Current index (first few entries):\")\n","print(df.index[:5])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JCyxWBBSGHpC","executionInfo":{"status":"ok","timestamp":1745209160189,"user_tz":-330,"elapsed":6,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"43c0db6b-8886-4252-8774-8322d2ef9975"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Current index (first few entries):\n","DatetimeIndex(['2021-01-01 00:00:00+00:00', '2021-01-02 00:00:00+00:00',\n","               '2021-01-03 00:00:00+00:00', '2021-01-04 00:00:00+00:00',\n","               '2021-01-05 00:00:00+00:00'],\n","              dtype='datetime64[ns, UTC]', name='date', freq=None)\n"]}]},{"cell_type":"code","source":["# current_index = df.index.copy()"],"metadata":{"id":"QOHHyyeQGVlj"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2. Shift the dates forward by 1 day\n","# adjusted_index = current_index + pd.Timedelta(days=1)"],"metadata":{"id":"s2RVjq98GYf6"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 4. Set the adjusted index\n","# df.index = adjusted_index\n","\n","# # 5. Verify the correction\n","# print(\"\\nCorrected index (first few entries):\")\n","# print(df.index[:5])"],"metadata":{"id":"Y6xSpREyGfJq"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# If you want to standardize the time component to midnight UTC:\n","\n","# df.index = pd.DatetimeIndex([idx.replace(hour=0, minute=0, second=0) for idx in df.index])\n","\n","# print(\"\\nStandardized index with midnight UTC (first few entries):\")\n","# print(df.index[:5])\n"],"metadata":{"id":"2DE_kwEQGhv7"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 3. Show the adjustment effect\n","# print(\"\\nAdjustment effect (first few entries):\")\n","# for i in range(5):\n","#     print(f\"Original: {current_index[i]} → Adjusted: {adjusted_index[i]}\")"],"metadata":{"id":"jXqqx0vIGa7q"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df.columns = df.columns.str.strip()\n"],"metadata":{"id":"-RmfMC1hX4iW"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.7. Display the updated dataframe\n","print(\"\\nUpdated DataFrame with datetime index:\")\n","print(df.head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hG7-8SK6PUM-","executionInfo":{"status":"ok","timestamp":1745209184401,"user_tz":-330,"elapsed":4,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3d9ac5cb-abe6-434f-82a4-1fb332c02816"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Updated DataFrame with datetime index:\n","                            Open   High    Low  Close      Volume\n","date                                                             \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0\n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0\n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0\n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0\n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0\n"]}]},{"cell_type":"code","source":["# 2.8. Visualize the closing price with proper datetime index\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(14, 7))\n","plt.plot(df.index, df['Close'])\n","plt.title('Solana Closing Price Over Time')\n","plt.xlabel('Date')\n","plt.ylabel('Price (USD)')\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":691},"id":"BTxZKPnUPXXe","executionInfo":{"status":"ok","timestamp":1745209190290,"user_tz":-330,"elapsed":575,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a57089b8-6fca-45ee-b3bd-6365df0c86d8"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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index=True)\n","# df_new = pd.read_csv('/content/drive/MyDrive/Crypto-data-v2/step2_handling-time-index_data.csv')"],"metadata":{"id":"kepL3xQyPkg_"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(\"\\nCurrent timezone:\", df.index.tz)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"t1g6bbKtRyTE","executionInfo":{"status":"ok","timestamp":1745210388554,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e31e6211-211b-49b9-eb7a-c59b483e5147"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Current timezone: UTC\n"]}]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":238},"collapsed":true,"id":"7hYrGruCT_bf","executionInfo":{"status":"ok","timestamp":1745210389617,"user_tz":-330,"elapsed":24,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3f441239-ad6c-4293-fb31-902bb9a99545"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume\n","date                                                             \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0\n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0\n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0\n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0\n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0"],"text/html":["\n","  <div id=\"df-6ccc0788-53e9-4ef2-a9f4-e7322fef6aad\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    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<td>1.799</td>\n","      <td>2.808</td>\n","      <td>2.007</td>\n","      <td>2.185</td>\n","      <td>55073422.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6ccc0788-53e9-4ef2-a9f4-e7322fef6aad')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","  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Visualization-based outlier detection\n","fig, axes = plt.subplots(3, 2, figsize=(20, 15))\n","\n","# Box plots for each price column\n","sns.boxplot(data=df[['Open', 'High', 'Low', 'Close']], ax=axes[0, 0])\n","axes[0, 0].set_title('Box Plot of Price Columns')\n","axes[0, 0].set_ylabel('Price')\n","\n","# Box plot for volume\n","sns.boxplot(y=df['Volume'], ax=axes[0, 1])\n","axes[0, 1].set_title('Box Plot of Volume')\n","axes[0, 1].set_ylabel('Volume')\n","\n","# Histogram for Close price\n","sns.histplot(df['Close'], kde=True, ax=axes[1, 0])\n","axes[1, 0].set_title('Close Price Distribution')\n","\n","# Histogram for Volume\n","sns.histplot(df['Volume'], kde=True, ax=axes[1, 1])\n","axes[1, 1].set_title('Volume Distribution')\n","\n","# Daily price changes (returns)\n","daily_returns = df['Close'].pct_change().dropna()\n","sns.histplot(daily_returns, kde=True, ax=axes[2, 0])\n","axes[2, 0].set_title('Daily Returns Distribution')\n","\n","# QQ plot for returns\n","stats.probplot(daily_returns, plot=axes[2, 1])\n","axes[2, 1].set_title('Q-Q Plot of Daily Returns')\n","\n","plt.tight_layout()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"iOgiSO9STe6s","executionInfo":{"status":"ok","timestamp":1745209233050,"user_tz":-330,"elapsed":4032,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"b76ea145-287d-4af7-a7ce-21d3e034a7e7"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1500 with 6 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4.2. Statistical-based outlier detection\n","\n","# 4.2.1. Z-Score Method\n","print(\"\\n----- Z-Score Method -----\")\n","# Calculate z-scores for price and volume\n","z_scores = {}\n","for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","    z_scores[column] = np.abs(stats.zscore(df[column]))\n","\n","    # Identify outliers (typically |z| > 3)\n","    outliers = df[z_scores[column] > 3]\n","    print(f\"Z-Score outliers in {column}: {len(outliers)} ({len(outliers)/len(df)*100:.2f}%)\")\n","\n","    if len(outliers) > 0:\n","        print(\"First few outliers:\")\n","        print(outliers.head())\n","        print(\"\\n\")\n","\n","# 4.2.2. IQR Method\n","print(\"\\n----- IQR Method -----\")\n","outliers_iqr = pd.DataFrame()\n","\n","for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","    Q1 = df[column].quantile(0.25)\n","    Q3 = df[column].quantile(0.75)\n","    IQR = Q3 - Q1\n","\n","    lower_bound = Q1 - 1.5 * IQR\n","    upper_bound = Q3 + 1.5 * IQR\n","\n","    column_outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n","    print(f\"IQR outliers in {column}: {len(column_outliers)} ({len(column_outliers)/len(df)*100:.2f}%)\")\n","\n","    if len(column_outliers) > 0:\n","        print(f\"Range for {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","        print(\"First few outliers:\")\n","        print(column_outliers.head())\n","        print(\"\\n\")\n","\n","        # Store outliers for potential treatment\n","        if column_outliers.shape[0] > 0:\n","            if outliers_iqr.empty:\n","                outliers_iqr = column_outliers.copy()\n","            else:\n","                outliers_iqr = pd.concat([outliers_iqr, column_outliers])\n","                outliers_iqr = outliers_iqr[~outliers_iqr.index.duplicated(keep='first')]\n","\n","# 4.2.3. Modified Z-Score (more robust to outliers)\n","print(\"\\n----- Modified Z-Score Method -----\")\n","for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","    # Calculate median and MAD (Median Absolute Deviation)\n","    median = df[column].median()\n","    mad = np.median(np.abs(df[column] - median))\n","\n","    # Calculate modified z-scores\n","    if mad > 0:  # Avoid division by zero\n","        modified_z_scores = 0.6745 * np.abs(df[column] - median) / mad\n","        outliers = df[modified_z_scores > 3.5]  # Threshold commonly used\n","        print(f\"Modified Z-Score outliers in {column}: {len(outliers)} ({len(outliers)/len(df)*100:.2f}%)\")\n","\n","        if len(outliers) > 0:\n","            print(\"First few outliers:\")\n","            print(outliers.head())\n","            print(\"\\n\")\n","    else:\n","        print(f\"MAD for {column} is zero - cannot compute modified Z-scores\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0HtNCs1LTrhJ","executionInfo":{"status":"ok","timestamp":1744958646614,"user_tz":-330,"elapsed":51,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3b57d1d0-e568-40ef-ce52-ccf587544325"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Z-Score Method -----\n","Z-Score outliers in Open: 0 (0.00%)\n","Z-Score outliers in High: 0 (0.00%)\n","Z-Score outliers in Low: 0 (0.00%)\n","Z-Score outliers in Close: 0 (0.00%)\n","Z-Score outliers in Volume: 26 (1.66%)\n","First few outliers:\n","                             Open    High     Low   Close        Volume\n","date                                                                   \n","2021-09-07 00:00:00+00:00  164.31  194.96  131.78  173.20  1.706864e+10\n","2021-09-08 00:00:00+00:00  173.20  197.94  146.72  191.01  1.318721e+10\n","2021-09-09 00:00:00+00:00  191.01  215.85  179.40  187.70  1.267627e+10\n","2024-03-15 00:00:00+00:00  176.64  188.85  164.95  183.84  1.409335e+10\n","2024-03-16 00:00:00+00:00  183.84  197.80  176.91  181.95  1.179413e+10\n","\n","\n","\n","----- IQR Method -----\n","IQR outliers in Open: 0 (0.00%)\n","IQR outliers in High: 0 (0.00%)\n","IQR outliers in Low: 0 (0.00%)\n","IQR outliers in Close: 0 (0.00%)\n","IQR outliers in Volume: 70 (4.47%)\n","Range for Volume: [-2961673787.00, 6271216009.00]\n","First few outliers:\n","                             Open    High     Low   Close        Volume\n","date                                                                   \n","2021-08-31 00:00:00+00:00  110.17  130.00  103.13  108.34  7.590894e+09\n","2021-09-03 00:00:00+00:00  128.29  148.91  128.21  146.46  7.526374e+09\n","2021-09-07 00:00:00+00:00  164.31  194.96  131.78  173.20  1.706864e+10\n","2021-09-08 00:00:00+00:00  173.20  197.94  146.72  191.01  1.318721e+10\n","2021-09-09 00:00:00+00:00  191.01  215.85  179.40  187.70  1.267627e+10\n","\n","\n","\n","----- Modified Z-Score Method -----\n","Modified Z-Score outliers in Open: 0 (0.00%)\n","Modified Z-Score outliers in High: 1 (0.06%)\n","First few outliers:\n","                             Open    High     Low   Close        Volume\n","date                                                                   \n","2025-01-19 00:00:00+00:00  261.97  295.83  236.68  252.42  3.317296e+10\n","\n","\n","Modified Z-Score outliers in Low: 0 (0.00%)\n","Modified Z-Score outliers in Close: 0 (0.00%)\n","Modified Z-Score outliers in Volume: 51 (3.26%)\n","First few outliers:\n","                             Open    High     Low   Close        Volume\n","date                                                                   \n","2021-08-31 00:00:00+00:00  110.17  130.00  103.13  108.34  7.590894e+09\n","2021-09-03 00:00:00+00:00  128.29  148.91  128.21  146.46  7.526374e+09\n","2021-09-07 00:00:00+00:00  164.31  194.96  131.78  173.20  1.706864e+10\n","2021-09-08 00:00:00+00:00  173.20  197.94  146.72  191.01  1.318721e+10\n","2021-09-09 00:00:00+00:00  191.01  215.85  179.40  187.70  1.267627e+10\n","\n","\n"]}]},{"cell_type":"code","source":["# 4.3. Domain-specific outlier detection for cryptocurrencies\n","print(\"\\n----- Domain-Specific Methods -----\")\n","\n","# 4.3.1. Extreme price jumps (daily returns)\n","print(\"\\n----- Extreme Price Jumps -----\")\n","daily_returns = df['Close'].pct_change()\n","extreme_returns = df[np.abs(daily_returns) > 0.20]  # 20% daily move is often considered extreme\n","print(f\"Days with >20% price movement: {len(extreme_returns)} ({len(extreme_returns)/len(df)*100:.2f}%)\")\n","if len(extreme_returns) > 0:\n","    print(\"First few extreme movements:\")\n","    print(extreme_returns.head())\n","\n","# 4.3.2. Trading volume spikes\n","print(\"\\n----- Volume Spikes -----\")\n","# Calculate rolling average volume (20-day)\n","df['Rolling_Volume_20d'] = df['Volume'].rolling(window=20).mean()\n","\n","# Find days where volume exceeded 3x the rolling average\n","volume_spikes = df[df['Volume'] > 3 * df['Rolling_Volume_20d']].dropna()\n","print(f\"Volume spike days: {len(volume_spikes)} ({len(volume_spikes)/len(df.dropna())*100:.2f}%)\")\n","if len(volume_spikes) > 0:\n","    print(\"First few volume spikes:\")\n","    print(volume_spikes[['Volume', 'Rolling_Volume_20d']].head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gqsv46YvWUBn","executionInfo":{"status":"ok","timestamp":1744958654656,"user_tz":-330,"elapsed":23,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"2d5f34db-bf48-4ac1-9a15-813cc899bde5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Domain-Specific Methods -----\n","\n","----- Extreme Price Jumps -----\n","Days with >20% price movement: 20 (1.28%)\n","First few extreme movements:\n","                             Open    High    Low   Close       Volume\n","date                                                                 \n","2021-01-03 00:00:00+00:00   1.799   2.808  2.007   2.185   55073422.0\n","2021-01-07 00:00:00+00:00   1.958   2.652  1.939   2.360  159870278.0\n","2021-01-08 00:00:00+00:00   2.360   3.815  2.182   3.225  206412154.0\n","2021-02-19 00:00:00+00:00   8.967  11.540  8.562  11.490  261175711.0\n","2021-02-22 00:00:00+00:00  11.120  14.670  9.420  14.410  574136241.0\n","\n","----- Volume Spikes -----\n","Volume spike days: 26 (1.68%)\n","First few volume spikes:\n","                                 Volume  Rolling_Volume_20d\n","date                                                       \n","2021-02-22 00:00:00+00:00  5.741362e+08        1.323687e+08\n","2021-02-23 00:00:00+00:00  4.852528e+08        1.541620e+08\n","2021-04-18 00:00:00+00:00  1.155151e+09        3.419172e+08\n","2021-04-19 00:00:00+00:00  1.219131e+09        3.896724e+08\n","2021-04-22 00:00:00+00:00  1.638623e+09        5.221702e+08\n"]}]},{"cell_type":"code","source":["# 4.4. Outlier Treatment\n","\n","# Create a copy of the original data for treatment demonstrations\n","df_treated = df.copy()"],"metadata":{"id":"NENoDbgrWgZS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 4.4.1. Capping Method (Winsorization)\n","print(\"\\n----- Outlier Treatment: Capping (Winsorization) -----\")\n","for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","    Q1 = df_treated[column].quantile(0.01)  # 1st percentile\n","    Q3 = df_treated[column].quantile(0.99)  # 99th percentile\n","\n","    # Count values outside the range\n","    outliers_count = ((df_treated[column] < Q1) | (df_treated[column] > Q3)).sum()\n","\n","    if outliers_count > 0:\n","        print(f\"Capping {outliers_count} values in {column}\")\n","\n","        # Store original values for a sample\n","        sample_idx = df_treated[(df_treated[column] < Q1) | (df_treated[column] > Q3)].head().index\n","        original_values = df_treated.loc[sample_idx, column].copy()\n","\n","        # Apply capping\n","        df_treated[column] = df_treated[column].clip(lower=Q1, upper=Q3)\n","\n","        # Show before/after for a sample\n","        if len(sample_idx) > 0:\n","            print(\"Sample before/after capping:\")\n","            comparison = pd.DataFrame({\n","                'Original': original_values,\n","                'After Capping': df_treated.loc[sample_idx, column]\n","            })\n","            print(comparison)\n","            print(\"\\n\")\n","\n","# 4.4.2. Smoothing Method (Rolling Average)\n","print(\"\\n----- Outlier Treatment: Smoothing -----\")\n","# Create another copy for smoothing demonstration\n","df_smoothed = df.copy()\n","\n","# Add rolling average columns\n","for window in [3, 7, 14]:\n","    for column in ['Close', 'Volume']:\n","        df_smoothed[f'{column}_SMA{window}'] = df_smoothed[column].rolling(window=window, center=False).mean()\n","\n","# Show examples of original vs. smoothed values for potential outliers\n","if len(extreme_returns) > 0:\n","    sample_dates = extreme_returns.head().index\n","    print(\"Smoothing example for extreme price movement days:\")\n","    smoothing_comparison = pd.DataFrame({\n","        'Original_Close': df_smoothed.loc[sample_dates, 'Close'],\n","        'SMA3': df_smoothed.loc[sample_dates, 'Close_SMA3'],\n","        'SMA7': df_smoothed.loc[sample_dates, 'Close_SMA7'],\n","        'SMA14': df_smoothed.loc[sample_dates, 'Close_SMA14'],\n","    })\n","    print(smoothing_comparison)\n","\n","    # Visualize original vs smoothed data\n","    plt.figure(figsize=(14, 7))\n","    plt.plot(df_smoothed.index[-100:], df_smoothed['Close'][-100:], label='Original Close')\n","    plt.plot(df_smoothed.index[-100:], df_smoothed['Close_SMA7'][-100:], label='7-day SMA')\n","    plt.title('Original vs Smoothed Closing Prices (Last 100 Days)')\n","    plt.legend()\n","    plt.grid(True)\n","    plt.show()\n","\n","# 4.4.3. Isolation Forest for Anomaly Detection\n","print(\"\\n----- Outlier Treatment: Isolation Forest -----\")\n","from sklearn.ensemble import IsolationForest\n","\n","# Select features for anomaly detection\n","features = df[['Open', 'High', 'Low', 'Close', 'Volume']].copy()\n","\n","# Fit the model\n","isolation_forest = IsolationForest(contamination=0.05, random_state=42)\n","anomalies = isolation_forest.fit_predict(features)\n","\n","# Identify the anomalies (outliers are represented by -1)\n","anomaly_indices = np.where(anomalies == -1)[0]\n","print(f\"Isolation Forest detected {len(anomaly_indices)} anomalies ({len(anomaly_indices)/len(df)*100:.2f}%)\")\n","\n","if len(anomaly_indices) > 0:\n","    anomaly_dates = df.iloc[anomaly_indices].index\n","    print(\"First few anomaly dates:\")\n","    print(anomaly_dates[:5])\n","\n","    # Plot identified anomalies\n","    plt.figure(figsize=(14, 7))\n","    plt.plot(df.index, df['Close'], color='blue', label='Close Price')\n","    plt.scatter(anomaly_dates, df.loc[anomaly_dates, 'Close'], color='red', label='Anomalies')\n","    plt.title('Anomalies Detected by Isolation Forest')\n","    plt.legend()\n","    plt.grid(True)\n","    plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"aB_xsGZHdKRD","executionInfo":{"status":"ok","timestamp":1744958662443,"user_tz":-330,"elapsed":600,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"64126b45-fe3c-49cc-e839-6b9973349eb8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Outlier Treatment: Capping (Winsorization) -----\n","Capping 32 values in Open\n","Sample before/after capping:\n","                           Original  After Capping\n","date                                              \n","2021-01-01 00:00:00+00:00     1.510         3.4633\n","2021-01-02 00:00:00+00:00     1.847         3.4633\n","2021-01-03 00:00:00+00:00     1.799         3.4633\n","2021-01-04 00:00:00+00:00     2.185         3.4633\n","2021-01-05 00:00:00+00:00     2.491         3.4633\n","\n","\n","Capping 32 values in High\n","Sample before/after capping:\n","                           Original  After Capping\n","date                                              \n","2021-01-01 00:00:00+00:00     1.865        3.78085\n","2021-01-02 00:00:00+00:00     2.012        3.78085\n","2021-01-03 00:00:00+00:00     2.808        3.78085\n","2021-01-04 00:00:00+00:00     2.573        3.78085\n","2021-01-05 00:00:00+00:00     2.634        3.78085\n","\n","\n","Capping 32 values in Low\n","Sample before/after capping:\n","                           Original  After Capping\n","date                                              \n","2021-01-01 00:00:00+00:00     1.495        3.24565\n","2021-01-02 00:00:00+00:00     1.752        3.24565\n","2021-01-03 00:00:00+00:00     2.007        3.24565\n","2021-01-04 00:00:00+00:00     2.066        3.24565\n","2021-01-05 00:00:00+00:00     2.145        3.24565\n","\n","\n","Capping 32 values in Close\n","Sample before/after capping:\n","                           Original  After Capping\n","date                                              \n","2021-01-01 00:00:00+00:00     1.847         3.5009\n","2021-01-02 00:00:00+00:00     1.799         3.5009\n","2021-01-03 00:00:00+00:00     2.185         3.5009\n","2021-01-04 00:00:00+00:00     2.491         3.5009\n","2021-01-05 00:00:00+00:00     2.158         3.5009\n","\n","\n","Capping 32 values in Volume\n","Sample before/after capping:\n","                             Original  After Capping\n","date                                                \n","2021-01-01 00:00:00+00:00  25722549.0     53522400.5\n","2021-01-02 00:00:00+00:00  31671064.0     53522400.5\n","2021-01-05 00:00:00+00:00  50555207.0     53522400.5\n","2021-01-06 00:00:00+00:00  50263975.0     53522400.5\n","2021-01-15 00:00:00+00:00  45331739.0     53522400.5\n","\n","\n","\n","----- Outlier Treatment: Smoothing -----\n","Smoothing example for extreme price movement days:\n","                           Original_Close       SMA3       SMA7     SMA14\n","date                                                                     \n","2021-01-03 00:00:00+00:00           2.185   1.943667        NaN       NaN\n","2021-01-07 00:00:00+00:00           2.360   2.147667   2.109286       NaN\n","2021-01-08 00:00:00+00:00           3.225   2.503333   2.306143       NaN\n","2021-02-19 00:00:00+00:00          11.490   9.562667   9.045000  8.526929\n","2021-02-22 00:00:00+00:00          14.410  11.843333  10.359571  9.588143\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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Outlier Treatment: Isolation Forest -----\n","Isolation Forest detected 79 anomalies (5.04%)\n","First few anomaly dates:\n","DatetimeIndex(['2021-01-01 00:00:00+00:00', '2021-01-02 00:00:00+00:00',\n","               '2021-01-03 00:00:00+00:00', '2021-01-04 00:00:00+00:00',\n","               '2021-01-05 00:00:00+00:00'],\n","              dtype='datetime64[ns, UTC]', name='date', freq=None)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 4.5. Decide which treatment to use (based on analysis)\n","print(\"\\n----- Final Decision on Outlier Treatment -----\")\n","print(\"Based on the above analysis, we recommend:\")\n","print(\"1. For cryptocurrency data, most 'outliers' are actually significant market events\")\n","print(\"2. Rather than removing them, we should consider using them as features\")\n","print(\"3. For modeling, we recommend using the original data with additional features that capture:\")\n","print(\"   - Volatility (e.g., rolling standard deviation)\")\n","print(\"   - Extreme moves (e.g., binary flags for days with >10% moves)\")\n","print(\"   - Volume spikes (e.g., ratio of volume to rolling average)\")\n","print(\"4. If smoothing is necessary, consider adding smoothed features (SMAs) alongside original data\")\n","\n","# Add recommended features to original dataset\n","df['Returns'] = df['Close'].pct_change()\n","df['Returns_Abs'] = np.abs(df['Returns'])\n","df['Volatility_14d'] = df['Returns'].rolling(window=14).std()\n","df['Volume_Ratio'] = df['Volume'] / df['Volume'].rolling(window=20).mean()\n","df['Extreme_Move'] = (np.abs(df['Returns']) > 0.10).astype(int)\n","\n","print(\"\\nFinal dataset with added features:\")\n","print(df.tail())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GyW5KphPdXwE","executionInfo":{"status":"ok","timestamp":1744958668867,"user_tz":-330,"elapsed":44,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"adaaa04c-eb1c-4d99-a9b0-9309ade0ce8c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Final Decision on Outlier Treatment -----\n","Based on the above analysis, we recommend:\n","1. For cryptocurrency data, most 'outliers' are actually significant market events\n","2. Rather than removing them, we should consider using them as features\n","3. For modeling, we recommend using the original data with additional features that capture:\n","   - Volatility (e.g., rolling standard deviation)\n","   - Extreme moves (e.g., binary flags for days with >10% moves)\n","   - Volume spikes (e.g., ratio of volume to rolling average)\n","4. If smoothing is necessary, consider adding smoothed features (SMAs) alongside original data\n","\n","Final dataset with added features:\n","                             Open    High     Low   Close        Volume  \\\n","date                                                                      \n","2025-04-11 00:00:00+00:00  112.81  122.40  112.19  121.53  3.953610e+09   \n","2025-04-12 00:00:00+00:00  121.53  133.76  119.66  132.26  4.089398e+09   \n","2025-04-13 00:00:00+00:00  132.26  133.51  125.52  128.58  3.818650e+09   \n","2025-04-14 00:00:00+00:00  128.58  135.19  128.23  129.31  4.425565e+09   \n","2025-04-15 00:00:00+00:00  129.31  134.19  126.14  126.26  3.272094e+09   \n","\n","                           Rolling_Volume_20d   Returns  Returns_Abs  \\\n","date                                                                   \n","2025-04-11 00:00:00+00:00        3.946843e+09  0.077394     0.077394   \n","2025-04-12 00:00:00+00:00        4.065751e+09  0.088291     0.088291   \n","2025-04-13 00:00:00+00:00        4.046305e+09 -0.027824     0.027824   \n","2025-04-14 00:00:00+00:00        4.088316e+09  0.005677     0.005677   \n","2025-04-15 00:00:00+00:00        4.097767e+09 -0.023587     0.023587   \n","\n","                           Volatility_14d  Volume_Ratio  Extreme_Move  \n","date                                                                   \n","2025-04-11 00:00:00+00:00        0.061731      1.001715             0  \n","2025-04-12 00:00:00+00:00        0.065338      1.005816             0  \n","2025-04-13 00:00:00+00:00        0.065965      0.943738             0  \n","2025-04-14 00:00:00+00:00        0.065956      1.082491             0  \n","2025-04-15 00:00:00+00:00        0.066279      0.798507             0  \n"]}]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":324},"id":"tG3QKkwPgTHd","executionInfo":{"status":"ok","timestamp":1744958672081,"user_tz":-330,"elapsed":8,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"7f104cf9-0dd6-41a4-8647-a5e818a1f723"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume  \\\n","date                                                                \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0   \n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0   \n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0   \n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0   \n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0   \n","\n","                           Rolling_Volume_20d   Returns  Returns_Abs  \\\n","date                                                                   \n","2021-01-01 00:00:00+00:00                 NaN       NaN          NaN   \n","2021-01-02 00:00:00+00:00                 NaN -0.025988     0.025988   \n","2021-01-03 00:00:00+00:00                 NaN  0.214564     0.214564   \n","2021-01-04 00:00:00+00:00                 NaN  0.140046     0.140046   \n","2021-01-05 00:00:00+00:00                 NaN -0.133681     0.133681   \n","\n","                           Volatility_14d  Volume_Ratio  Extreme_Move  \n","date                                                                   \n","2021-01-01 00:00:00+00:00             NaN           NaN             0  \n","2021-01-02 00:00:00+00:00             NaN           NaN             0  \n","2021-01-03 00:00:00+00:00             NaN           NaN             1  \n","2021-01-04 00:00:00+00:00             NaN           NaN             1  \n","2021-01-05 00:00:00+00:00             NaN           NaN             1  "],"text/html":["\n","  <div id=\"df-f857e172-ddb0-4c38-a7db-c0ce0dcfac77\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Rolling_Volume_20d</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      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  <td>2.185</td>\n","      <td>55073422.0</td>\n","      <td>NaN</td>\n","      <td>0.214564</td>\n","      <td>0.214564</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","      <td>NaN</td>\n","      <td>0.140046</td>\n","      <td>0.140046</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","      <td>NaN</td>\n","      <td>-0.133681</td>\n","      <td>0.133681</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div 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   }\n    },\n    {\n      \"column\": \"Extreme_Move\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":133}]},{"cell_type":"code","source":["df.to_csv('/content/drive/MyDrive/Crypto-data-v2/step4_outlier-treatment.csv', index=True)"],"metadata":{"id":"VbfGLxbHgWJ4"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!pip install ta\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"XP1Yw3NpkMDr","executionInfo":{"status":"ok","timestamp":1744955786490,"user_tz":-330,"elapsed":3876,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5be46c04-5fe1-454e-b45b-f70d67910a2a","collapsed":true},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting ta\n","  Downloading ta-0.11.0.tar.gz (25 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from ta) (2.0.2)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from ta) (2.2.2)\n","Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2025.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2025.2)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas->ta) (1.17.0)\n","Building wheels for collected packages: ta\n","  Building wheel for ta (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for ta: filename=ta-0.11.0-py3-none-any.whl size=29412 sha256=0e92ac229ef4891a7b24e1c777e0de2e3542c37866e5d8776461c8633cce6b2a\n","  Stored in directory: /root/.cache/pip/wheels/a1/d7/29/7781cc5eb9a3659d032d7d15bdd0f49d07d2b24fec29f44bc4\n","Successfully built ta\n","Installing collected packages: ta\n","Successfully installed ta-0.11.0\n"]}]},{"cell_type":"code","source":["from ta import add_all_ta_features\n","from ta.utils import dropna\n","# import talib"],"metadata":{"id":"NQuQqXmdkKHh"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 5.1. Create lagged features\n","print(\"Creating lagged features...\")\n","# Create lagged price features\n","for lag in [1, 2, 3, 5, 7, 14, 21]:\n","    df[f'Close_Lag_{lag}'] = df['Close'].shift(lag)\n","    df[f'Volume_Lag_{lag}'] = df['Volume'].shift(lag)\n","    df[f'Returns_Lag_{lag}'] = df['Returns'].shift(lag)\n","\n","\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"F51q3HkoWLVN","executionInfo":{"status":"ok","timestamp":1744958689562,"user_tz":-330,"elapsed":19,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"aa1d40b6-f0b9-43a5-9599-95293b734f8a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating lagged features...\n"]}]},{"cell_type":"code","source":["# 5.2. Calculate moving averages\n","print(\"Calculating moving averages...\")\n","for window in [5, 10, 20, 50, 100, 200]:\n","    # Simple Moving Averages\n","    df[f'SMA_{window}'] = df['Close'].rolling(window=window).mean()\n","\n","    # Exponential Moving Averages\n","    df[f'EMA_{window}'] = df['Close'].ewm(span=window, adjust=False).mean()\n","\n","    # Volume Moving Averages\n","    df[f'Volume_SMA_{window}'] = df['Volume'].rolling(window=window).mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8s2K524AWRil","executionInfo":{"status":"ok","timestamp":1744958692680,"user_tz":-330,"elapsed":132,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"71e46326-9009-4006-9afc-be84ef3a979a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating moving averages...\n"]}]},{"cell_type":"code","source":["# 5.3. Calculate price momentum indicators\n","print(\"Calculating momentum indicators...\")\n","# Rate of Change (ROC)\n","for period in [5, 10, 20]:\n","    df[f'ROC_{period}'] = df['Close'].pct_change(periods=period) * 100\n","\n","# Moving Average Convergence Divergence (MACD)\n","df['MACD_Line'] = df['Close'].ewm(span=12, adjust=False).mean() - df['Close'].ewm(span=26, adjust=False).mean()\n","df['MACD_Signal'] = df['MACD_Line'].ewm(span=9, adjust=False).mean()\n","df['MACD_Hist'] = df['MACD_Line'] - df['MACD_Signal']\n","\n","# Relative Strength Index (RSI)\n","delta = df['Close'].diff()\n","gain = delta.where(delta > 0, 0)\n","loss = -delta.where(delta < 0, 0)\n","\n","avg_gain = gain.rolling(window=14).mean()\n","avg_loss = loss.rolling(window=14).mean()\n","\n","rs = avg_gain / avg_loss\n","df['RSI_14'] = 100 - (100 / (1 + rs))\n","\n","# Williams %R\n","highest_high = df['High'].rolling(window=14).max()\n","lowest_low = df['Low'].rolling(window=14).min()\n","df['Williams_%R'] = ((highest_high - df['Close']) / (highest_high - lowest_low)) * -100"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RjEuFK2KWbFT","executionInfo":{"status":"ok","timestamp":1744958695571,"user_tz":-330,"elapsed":25,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ffc2fdd0-46ba-45a6-9787-c3a9c55367f5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating momentum indicators...\n"]}]},{"cell_type":"code","source":["# 5.4. Calculate volatility indicators\n","print(\"Calculating volatility indicators...\")\n","# Bollinger Bands\n","for window in [20]:\n","    rolling_mean = df['Close'].rolling(window=window).mean()\n","    rolling_std = df['Close'].rolling(window=window).std()\n","\n","    df[f'BB_Upper_{window}'] = rolling_mean + (rolling_std * 2)\n","    df[f'BB_Middle_{window}'] = rolling_mean\n","    df[f'BB_Lower_{window}'] = rolling_mean - (rolling_std * 2)\n","    df[f'BB_Width_{window}'] = (df[f'BB_Upper_{window}'] - df[f'BB_Lower_{window}']) / df[f'BB_Middle_{window}']\n","\n","# Average True Range (ATR)\n","high_low = df['High'] - df['Low']\n","high_close = np.abs(df['High'] - df['Close'].shift())\n","low_close = np.abs(df['Low'] - df['Close'].shift())\n","\n","true_range = pd.concat([high_low, high_close, low_close], axis=1).max(axis=1)\n","df['ATR_14'] = true_range.rolling(window=14).mean()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"h89UYT15WhiT","executionInfo":{"status":"ok","timestamp":1744958700332,"user_tz":-330,"elapsed":43,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5286d286-43b0-4faa-ab74-96fa96de4af8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating volatility indicators...\n"]}]},{"cell_type":"code","source":["# 5.5. Create cyclical features from date\n","print(\"Creating cyclical features...\")\n","# Extract datetime components\n","df['Day_of_Week'] = df.index.dayofweek\n","df['Month'] = df.index.month\n","df['Quarter'] = df.index.quarter\n","df['Year'] = df.index.year\n","df['Day_of_Month'] = df.index.day\n","df['Week_of_Year'] = df.index.isocalendar().week\n","\n","# Convert cyclical features to sine and cosine components to preserve cyclical nature\n","for col in ['Day_of_Week', 'Month', 'Quarter']:\n","    # Sine and cosine transformations\n","    max_val = df[col].max()\n","    df[f'{col}_sin'] = np.sin(2 * np.pi * df[col] / max_val)\n","    df[f'{col}_cos'] = np.cos(2 * np.pi * df[col] / max_val)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xDEGAjtwWk1N","executionInfo":{"status":"ok","timestamp":1744958704065,"user_tz":-330,"elapsed":10,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"fab6d4e6-e862-4b49-a70b-6f4371d9db2b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating cyclical features...\n"]}]},{"cell_type":"code","source":["# 5.6. Create interaction features\n","print(\"Creating interaction features...\")\n","# Price and volume interactions\n","df['Price_Volume_Ratio'] = df['Close'] / (df['Volume'] + 1)  # Adding 1 to avoid division by zero\n","df['Price_Volume_SMA10_Ratio'] = df['SMA_10'] / (df['Volume_SMA_10'] + 1)\n","\n","# Volatility and price interactions\n","df['ATR_Close_Ratio'] = df['ATR_14'] / df['Close']\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FGnS6fH-WpAb","executionInfo":{"status":"ok","timestamp":1744958732921,"user_tz":-330,"elapsed":14,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"dcde718b-ebd5-43d8-88d1-4bb1750ea826"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating interaction features...\n"]}]},{"cell_type":"code","source":["# 5.7. Create binary indicators\n","print(\"Creating binary indicators...\")\n","# Golden Cross / Death Cross (50-day MA crossing 200-day MA)\n","df['SMA_50_Above_SMA_200'] = (df['SMA_50'] > df['SMA_200']).astype(int)\n","df['SMA_Golden_Cross'] = ((df['SMA_50'] > df['SMA_200']) & (df['SMA_50'].shift() <= df['SMA_200'].shift())).astype(int)\n","df['SMA_Death_Cross'] = ((df['SMA_50'] < df['SMA_200']) & (df['SMA_50'].shift() >= df['SMA_200'].shift())).astype(int)\n","\n","# RSI Overbought/Oversold\n","df['RSI_Overbought'] = (df['RSI_14'] > 70).astype(int)\n","df['RSI_Oversold'] = (df['RSI_14'] < 30).astype(int)\n","\n","# Price above/below moving averages\n","df['Price_Above_SMA_200'] = (df['Close'] > df['SMA_200']).astype(int)\n","df['Price_Above_SMA_50'] = (df['Close'] > df['SMA_50']).astype(int)\n","\n","# Higher highs and lower lows (trend strength)\n","df['Higher_High'] = (df['High'] > df['High'].shift()).astype(int)\n","df['Lower_Low'] = (df['Low'] < df['Low'].shift()).astype(int)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tWcL9l-jWsLT","executionInfo":{"status":"ok","timestamp":1744958745640,"user_tz":-330,"elapsed":14,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"da8e40e0-2a6f-4979-8aea-8081e7eb3fea"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating binary indicators...\n"]}]},{"cell_type":"code","source":["# 5.8. Calculate support and resistance levels\n","print(\"Calculating support and resistance levels...\")\n","# Simple support/resistance based on recent highs and lows\n","df['Support_Level'] = df['Low'].rolling(window=20).min()\n","df['Resistance_Level'] = df['High'].rolling(window=20).max()\n","df['Price_to_Support_Ratio'] = df['Close'] / df['Support_Level']\n","df['Price_to_Resistance_Ratio'] = df['Close'] / df['Resistance_Level']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MBvlSongWv3N","executionInfo":{"status":"ok","timestamp":1744958750765,"user_tz":-330,"elapsed":11,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"fe69a458-9869-44b3-c8fa-47cf258c728f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating support and resistance levels...\n"]}]},{"cell_type":"code","source":["# 5.9. Add market structure features\n","print(\"Adding market structure features...\")\n","# Calculate if price is in range or trending\n","df['20d_High'] = df['High'].rolling(window=20).max()\n","df['20d_Low'] = df['Low'].rolling(window=20).min()\n","df['Price_Range_Width'] = (df['20d_High'] - df['20d_Low']) / df['Close']\n","df['In_Range_Market'] = ((df['Price_Range_Width'] < 0.1) & (df['Volatility_14d'] < df['Volatility_14d'].rolling(window=30).mean())).astype(int)\n","\n","# Calculate specific crypto-related features\n","# Count days since ATH (All-Time High)\n","df['ATH'] = df['Close'].cummax()\n","df['Days_Since_ATH'] = df['Close'].cummax().ne(df['Close'].cummax().shift()).cumsum()\n","df['ATH_Drawdown'] = (df['Close'] / df['ATH'] - 1) * 100  # Negative percentage from ATH"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"enGWr_EoWzSe","executionInfo":{"status":"ok","timestamp":1744958753298,"user_tz":-330,"elapsed":10,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"cd9867d0-025e-49d3-c448-56409f0c3b0a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Adding market structure features...\n"]}]},{"cell_type":"code","source":["# 5.10. Add log-transformed features (especially useful for volume)\n","print(\"Adding log-transformed features...\")\n","df['Log_Close'] = np.log(df['Close'])\n","df['Log_Volume'] = np.log(df['Volume'] + 1)  # Adding 1 to avoid log(0)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Xb-3FTvgW4Qj","executionInfo":{"status":"ok","timestamp":1744958757751,"user_tz":-330,"elapsed":37,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3c3d11dc-8332-4c50-ba6b-5dc4af2653b2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Adding log-transformed features...\n"]}]},{"cell_type":"code","source":["# 5.11. Visualize key features\n","print(\"Visualizing key features...\")\n","# Select a subset of important features for plotting\n","key_features = ['Close', 'SMA_20', 'SMA_50', 'SMA_200', 'RSI_14', 'ATR_14', 'MACD_Line']\n","last_200_days = df[key_features].tail(200)\n","\n","# Create the plots\n","fig, axes = plt.subplots(4, 1, figsize=(15, 20), sharex=True)\n","\n","# Plot 1: Price and Moving Averages\n","axes[0].plot(last_200_days.index, last_200_days['Close'], label='Close')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_20'], label='SMA 20')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_50'], label='SMA 50')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_200'], label='SMA 200')\n","axes[0].set_title('Solana Price with Moving Averages (Last 200 Days)')\n","axes[0].legend()\n","axes[0].grid(True)\n","\n","# Plot 2: RSI\n","axes[1].plot(last_200_days.index, last_200_days['RSI_14'], label='RSI (14)')\n","axes[1].axhline(y=70, color='r', linestyle='-', alpha=0.3)\n","axes[1].axhline(y=30, color='g', linestyle='-', alpha=0.3)\n","axes[1].set_title('Relative Strength Index (RSI)')\n","axes[1].set_ylim(0, 100)\n","axes[1].legend()\n","axes[1].grid(True)\n","\n","# Plot 3: ATR\n","axes[2].plot(last_200_days.index, last_200_days['ATR_14'], label='ATR (14)')\n","axes[2].set_title('Average True Range (ATR)')\n","axes[2].legend()\n","axes[2].grid(True)\n","\n","# Plot 4: MACD\n","axes[3].plot(last_200_days.index, last_200_days['MACD_Line'], label='MACD Line')\n","axes[3].axhline(y=0, color='k', linestyle='-', alpha=0.3)\n","axes[3].set_title('Moving Average Convergence Divergence (MACD)')\n","axes[3].legend()\n","axes[3].grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"TN6nO0weW70k","executionInfo":{"status":"ok","timestamp":1744958773277,"user_tz":-330,"elapsed":913,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3aa98fba-83b7-40b8-bc7a-9a469343d742"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Visualizing key features...\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x2000 with 4 Axes>"],"image/png":"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5.12. Print feature summary\n","print(\"\\nFeature Engineering Summary:\")\n","print(f\"Original features: 5 (Open, High, Low, Close, Volume)\")\n","print(f\"Engineered features: {df.shape[1] - 5}\")\n","print(f\"Total features: {df.shape[1]}\")\n","\n","# Group features by category for better understanding\n","lag_features = [col for col in df.columns if 'Lag' in col]\n","ma_features = [col for col in df.columns if 'SMA_' in col or 'EMA_' in col]\n","momentum_features = [col for col in df.columns if any(x in col for x in ['RSI', 'MACD', 'ROC', 'Williams'])]\n","volatility_features = [col for col in df.columns if any(x in col for x in ['ATR', 'BB_', 'Volatility'])]\n","cyclical_features = [col for col in df.columns if any(x in col for x in ['Day_of', 'Month', 'Quarter', 'Year', 'Week_of', '_sin', '_cos'])]\n","binary_features = [col for col in df.columns if any(x in col for x in ['Above', 'Cross', 'Overbought', 'Oversold', 'Higher', 'Lower'])]\n","\n","print(f\"\\nLagged features: {len(lag_features)}\")\n","print(f\"Moving average features: {len(ma_features)}\")\n","print(f\"Momentum features: {len(momentum_features)}\")\n","print(f\"Volatility features: {len(volatility_features)}\")\n","print(f\"Cyclical features: {len(cyclical_features)}\")\n","print(f\"Binary/indicator features: {len(binary_features)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JTDCNxFuW_0r","executionInfo":{"status":"ok","timestamp":1744958778324,"user_tz":-330,"elapsed":194,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"8c6360bd-b5ae-4f79-9468-c14dfd6e26ce"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Feature Engineering Summary:\n","Original features: 5 (Open, High, Low, Close, Volume)\n","Engineered features: 95\n","Total features: 100\n","\n","Lagged features: 21\n","Moving average features: 23\n","Momentum features: 10\n","Volatility features: 7\n","Cyclical features: 12\n","Binary/indicator features: 10\n"]}]},{"cell_type":"code","source":["# 5.13. Check for any issues in the engineered features\n","print(\"\\nChecking for NaN values in engineered features:\")\n","nan_counts = df.isna().sum()\n","features_with_nans = nan_counts[nan_counts > 0]\n","print(features_with_nans)\n","\n","print(\"\\nNote: NaN values at the beginning of time series are expected due to calculation methods\")\n","print(\"requiring historical data (e.g., 200-day moving averages need 200 days of data).\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dU--NXd8XIAt","executionInfo":{"status":"ok","timestamp":1744958801313,"user_tz":-330,"elapsed":43,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"62065be9-1158-4042-a243-bfedf1c9ab44"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Checking for NaN values in engineered features:\n","Rolling_Volume_20d            19\n","Returns                        1\n","Returns_Abs                    1\n","Volatility_14d                14\n","Volume_Ratio                  19\n","Close_Lag_1                    1\n","Volume_Lag_1                   1\n","Returns_Lag_1                  2\n","Close_Lag_2                    2\n","Volume_Lag_2                   2\n","Returns_Lag_2                  3\n","Close_Lag_3                    3\n","Volume_Lag_3                   3\n","Returns_Lag_3                  4\n","Close_Lag_5                    5\n","Volume_Lag_5                   5\n","Returns_Lag_5                  6\n","Close_Lag_7                    7\n","Volume_Lag_7                   7\n","Returns_Lag_7                  8\n","Close_Lag_14                  14\n","Volume_Lag_14                 14\n","Returns_Lag_14                15\n","Close_Lag_21                  21\n","Volume_Lag_21                 21\n","Returns_Lag_21                22\n","SMA_5                          4\n","Volume_SMA_5                   4\n","SMA_10                         9\n","Volume_SMA_10                  9\n","SMA_20                        19\n","Volume_SMA_20                 19\n","SMA_50                        49\n","Volume_SMA_50                 49\n","SMA_100                       99\n","Volume_SMA_100                99\n","SMA_200                      199\n","Volume_SMA_200               199\n","ROC_5                          5\n","ROC_10                        10\n","ROC_20                        20\n","RSI_14                        13\n","Williams_%R                   13\n","BB_Upper_20                   19\n","BB_Middle_20                  19\n","BB_Lower_20                   19\n","BB_Width_20                   19\n","ATR_14                        13\n","Price_Volume_SMA10_Ratio       9\n","ATR_Close_Ratio               13\n","Support_Level                 19\n","Resistance_Level              19\n","Price_to_Support_Ratio        19\n","Price_to_Resistance_Ratio     19\n","20d_High                      19\n","20d_Low                       19\n","Price_Range_Width             19\n","dtype: int64\n","\n","Note: NaN values at the beginning of time series are expected due to calculation methods\n","requiring historical data (e.g., 200-day moving averages need 200 days of data).\n"]}]},{"cell_type":"code","source":["# 5.14. Save the engineered dataset\n","df.to_csv('/content/drive/MyDrive/Crypto-data-v2/step5_feature_engineering.csv', index=True, index_label='date')\n","print(\"\\nEngineered dataset saved as 'step5_feature_engineering.csv'\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"r02V2hZXXP2U","executionInfo":{"status":"ok","timestamp":1744958806643,"user_tz":-330,"elapsed":147,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a9980972-fa7d-49a0-8137-2a413a94a859"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Engineered dataset saved as 'step5_feature_engineering.csv'\n"]}]},{"cell_type":"code","source":["# 5.15. Print first few rows of the final dataset with key features\n","print(\"\\nSample of final dataset with key engineered features:\")\n","key_display_features = ['Close', 'Volume', 'Returns', 'SMA_20', 'SMA_50', 'RSI_14', 'MACD_Line', 'ATR_14']\n","print(df[key_display_features].head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ka7F6ExKXl6N","executionInfo":{"status":"ok","timestamp":1744958810223,"user_tz":-330,"elapsed":16,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"026bd488-788a-49de-c000-09700585fcfa"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Sample of final dataset with key engineered features:\n","                           Close      Volume   Returns  SMA_20  SMA_50  \\\n","date                                                                     \n","2021-01-01 00:00:00+00:00  1.847  25722549.0       NaN     NaN     NaN   \n","2021-01-02 00:00:00+00:00  1.799  31671064.0 -0.025988     NaN     NaN   \n","2021-01-03 00:00:00+00:00  2.185  55073422.0  0.214564     NaN     NaN   \n","2021-01-04 00:00:00+00:00  2.491  59955405.0  0.140046     NaN     NaN   \n","2021-01-05 00:00:00+00:00  2.158  50555207.0 -0.133681     NaN     NaN   \n","\n","                           RSI_14  MACD_Line  ATR_14  \n","date                                                  \n","2021-01-01 00:00:00+00:00     NaN   0.000000     NaN  \n","2021-01-02 00:00:00+00:00     NaN  -0.003829     NaN  \n","2021-01-03 00:00:00+00:00     NaN   0.024007     NaN  \n","2021-01-04 00:00:00+00:00     NaN   0.069952     NaN  \n","2021-01-05 00:00:00+00:00     NaN   0.078588     NaN  \n"]}]},{"cell_type":"code","source":["from scipy import stats\n","from statsmodels.tsa.stattools import adfuller, kpss\n","import warnings\n","warnings.filterwarnings('ignore')"],"metadata":{"id":"Il_4J2SKey70"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 6.1. Analyze distributions of key features\n","print(\"6.1. Analyzing distributions of key features...\")\n","\n","# Select key continuous features\n","continuous_features = ['Close', 'Volume', 'Returns', 'RSI_14', 'ATR_14', 'Volatility_14d', 'Volume_Ratio']\n","\n","# Create histograms for selected features\n","fig, axes = plt.subplots(len(continuous_features), 2, figsize=(16, 4*len(continuous_features)))\n","fig.suptitle('Feature Distributions Before and After Transformation', fontsize=16)\n","\n","for i, feature in enumerate(continuous_features):\n","    if pd.notna(df[feature]).any():  # Check if feature contains valid data\n","        # Original distribution\n","        sns.histplot(df[feature].dropna(), kde=True, ax=axes[i, 0])\n","        axes[i, 0].set_title(f'Original: {feature}')\n","\n","        # Calculate skewness\n","        skewness = stats.skew(df[feature].dropna())\n","        axes[i, 0].text(0.05, 0.95, f'Skewness: {skewness:.2f}',\n","                  transform=axes[i, 0].transAxes,\n","                  verticalalignment='top')\n","# 6.2. Apply appropriate transformations\n","print(\"\\n6.2. Applying appropriate transformations...\")\n","\n","# Create transformed features based on distributions\n","for i, feature in enumerate(continuous_features):\n","    if pd.notna(df[feature]).any():  # Check if feature contains valid data\n","        original_data = df[feature].dropna()\n","\n","        # Skip features that contain negative values or zeros (for log transform)\n","        if feature in ['Returns', 'ATR_14'] or (original_data <= 0).any():\n","            # For returns, ATR, or features with negative/zero values, try Box-Cox with shift\n","            if (original_data <= 0).any():\n","                min_val = original_data.min()\n","                shift = abs(min_val) + 1 if min_val <= 0 else 0\n","                shifted_data = original_data + shift\n","\n","                # For features that now have all positive values, try Box-Cox\n","                try:\n","                    transformed_data, lambda_param = stats.boxcox(shifted_data)\n","                    df[f'{feature}_BoxCox'] = np.nan\n","                    df.loc[shifted_data.index, f'{feature}_BoxCox'] = transformed_data\n","                    transform_type = f'Box-Cox (λ={lambda_param:.2f}, shift={shift})'\n","                except:\n","                    # If Box-Cox fails, try Yeo-Johnson\n","                    try:\n","                        transformed_data, lambda_param = stats.yeojohnson(original_data)\n","                        df[f'{feature}_YeoJohnson'] = np.nan\n","                        df.loc[original_data.index, f'{feature}_YeoJohnson'] = transformed_data\n","                        transform_type = f'Yeo-Johnson (λ={lambda_param:.2f})'\n","                    except:\n","                        # If all fails, try simple standardization\n","                        z_scores = stats.zscore(original_data)\n","                        df[f'{feature}_ZScore'] = np.nan\n","                        df.loc[original_data.index, f'{feature}_ZScore'] = z_scores\n","                        transform_type = 'Z-Score'\n","            else:\n","                # Try Yeo-Johnson for data with no transformation issues\n","                try:\n","                    transformed_data, lambda_param = stats.yeojohnson(original_data)\n","                    df[f'{feature}_YeoJohnson'] = np.nan\n","                    df.loc[original_data.index, f'{feature}_YeoJohnson'] = transformed_data\n","                    transform_type = f'Yeo-Johnson (λ={lambda_param:.2f})'\n","                except:\n","                    # Fall back to z-score\n","                    z_scores = stats.zscore(original_data)\n","                    df[f'{feature}_ZScore'] = np.nan\n","                    df.loc[original_data.index, f'{feature}_ZScore'] = z_scores\n","                    transform_type = 'Z-Score'\n","        else:\n","            # For strictly positive data with no zeros, try log transformation\n","            df[f'{feature}_Log'] = np.log(original_data)\n","            transform_type = 'Log'\n","\n","            # Also try Box-Cox for comparison\n","            try:\n","                transformed_data, lambda_param = stats.boxcox(original_data)\n","                df[f'{feature}_BoxCox'] = np.nan\n","                df.loc[original_data.index, f'{feature}_BoxCox'] = transformed_data\n","                transform_type += f' & Box-Cox (λ={lambda_param:.2f})'\n","            except:\n","                pass\n","\n","        # Plot transformed distribution\n","        transformed_col = next((col for col in df.columns if col.startswith(f'{feature}_')), None)\n","        if transformed_col:\n","            sns.histplot(df[transformed_col].dropna(), kde=True, ax=axes[i, 1])\n","            axes[i, 1].set_title(f'Transformed: {transformed_col}')\n","\n","            # Calculate skewness of transformed data\n","            skewness = stats.skew(df[transformed_col].dropna())\n","            axes[i, 1].text(0.05, 0.95, f'Skewness: {skewness:.2f}\\nMethod: {transform_type}',\n","                      transform=axes[i, 1].transAxes,\n","                      verticalalignment='top')\n","\n","plt.tight_layout(rect=[0, 0, 1, 0.97])\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"mmUVAcv4haVX","executionInfo":{"status":"ok","timestamp":1744958829173,"user_tz":-330,"elapsed":3252,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"dbb97025-bf30-4c37-ebdd-b6b617091404"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["6.1. Analyzing distributions of key features...\n","\n","6.2. Applying appropriate transformations...\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1600x2800 with 14 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 6.3. Apply differencing for stationarity\n","print(\"\\n6.3. Applying differencing for stationarity...\")\n","\n","# Function to test stationarity\n","def test_stationarity(series, title):\n","    # ADF Test\n","    result = adfuller(series.dropna())\n","    adf_pvalue = result[1]\n","\n","    # KPSS Test\n","    try:\n","        kpss_result = kpss(series.dropna())\n","        kpss_pvalue = kpss_result[1]\n","    except:\n","        kpss_pvalue = None\n","\n","    return adf_pvalue, kpss_pvalue\n","\n","# Apply differencing and test stationarity\n","stationarity_results = []\n","\n","# Test original Close price and log price\n","close_price = df['Close'].dropna()\n","log_close = np.log(close_price)\n","\n","# Original price stationarity\n","adf_p, kpss_p = test_stationarity(close_price, 'Original Close Price')\n","stationarity_results.append(['Close', 0, adf_p, kpss_p])\n","\n","# Log price stationarity\n","adf_p, kpss_p = test_stationarity(log_close, 'Log Close Price')\n","stationarity_results.append(['Log(Close)', 0, adf_p, kpss_p])\n","\n","# First difference\n","diff1 = close_price.diff().dropna()\n","adf_p, kpss_p = test_stationarity(diff1, '1st Difference')\n","stationarity_results.append(['Diff1(Close)', 1, adf_p, kpss_p])\n","df['Close_Diff1'] = df['Close'].diff()\n","\n","# First difference of log price (returns)\n","log_diff1 = log_close.diff().dropna()\n","adf_p, kpss_p = test_stationarity(log_diff1, '1st Difference of Log')\n","stationarity_results.append(['Diff1(Log(Close))', 1, adf_p, kpss_p])\n","df['LogClose_Diff1'] = np.log(df['Close']).diff()\n","\n","# Second difference if needed\n","if adf_p > 0.05:\n","    diff2 = diff1.diff().dropna()\n","    adf_p, kpss_p = test_stationarity(diff2, '2nd Difference')\n","    stationarity_results.append(['Diff2(Close)', 2, adf_p, kpss_p])\n","    df['Close_Diff2'] = df['Close'].diff().diff()\n","\n","# Display stationarity test results\n","stationarity_df = pd.DataFrame(stationarity_results,\n","                              columns=['Series', 'Differencing', 'ADF p-value', 'KPSS p-value'])\n","print(\"\\nStationarity Test Results:\")\n","print(\"ADF null hypothesis: Series has a unit root (non-stationary)\")\n","print(\"KPSS null hypothesis: Series is stationary\")\n","print(stationarity_df)\n","\n","# Plot differenced series\n","plt.figure(figsize=(15, 10))\n","\n","plt.subplot(3, 1, 1)\n","plt.plot(close_price.index, close_price)\n","plt.title('Original Close Price')\n","plt.grid(True)\n","\n","plt.subplot(3, 1, 2)\n","plt.plot(diff1.index, diff1)\n","plt.title('First Difference')\n","plt.grid(True)\n","\n","plt.subplot(3, 1, 3)\n","plt.plot(log_diff1.index, log_diff1)\n","plt.title('First Difference of Log Price (Returns)')\n","plt.grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":947},"id":"ZqiLjM2-hhq5","executionInfo":{"status":"ok","timestamp":1744959173675,"user_tz":-330,"elapsed":760,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"efca3ae2-e87d-45da-c9d2-d79a5e982148"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","6.3. Applying differencing for stationarity...\n","\n","Stationarity Test Results:\n","ADF null hypothesis: Series has a unit root (non-stationary)\n","KPSS null hypothesis: Series is stationary\n","              Series  Differencing   ADF p-value  KPSS p-value\n","0              Close             0  3.727291e-01      0.010000\n","1         Log(Close)             0  8.591587e-02      0.010000\n","2       Diff1(Close)             1  3.573618e-30      0.100000\n","3  Diff1(Log(Close))             1  1.345065e-22      0.045256\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 3 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 6.4. Apply decomposition to extract components\n","print(\"\\n6.4. Applying time series decomposition...\")\n","\n","from statsmodels.tsa.seasonal import seasonal_decompose\n","\n","# We'll decompose the log close price to deal with multiplicative trends\n","try:\n","    # Try multiplicative decomposition\n","    decomposition = seasonal_decompose(log_close, model='multiplicative', period=30)\n","    model_type = 'multiplicative'\n","except:\n","    # Fall back to additive\n","    decomposition = seasonal_decompose(log_close, model='additive', period=30)\n","    model_type = 'additive'\n","\n","trend = decomposition.trend\n","seasonal = decomposition.seasonal\n","residual = decomposition.resid\n","\n","# Add components to dataframe\n","df['Log_Close_Trend'] = trend\n","df['Log_Close_Seasonal'] = seasonal\n","df['Log_Close_Residual'] = residual\n","\n","# Plot decomposition\n","plt.figure(figsize=(14, 10))\n","plt.subplot(4, 1, 1)\n","plt.plot(log_close.index, log_close)\n","plt.title('Log Close Price')\n","plt.grid(True)\n","\n","plt.subplot(4, 1, 2)\n","plt.plot(trend.index, trend)\n","plt.title('Trend Component')\n","plt.grid(True)\n","\n","plt.subplot(4, 1, 3)\n","plt.plot(seasonal.index, seasonal)\n","plt.title(f'Seasonal Component ({model_type} model, 30-day period)')\n","plt.grid(True)\n","\n","plt.subplot(4, 1, 4)\n","plt.plot(residual.index, residual)\n","plt.title('Residual Component')\n","plt.grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":844},"id":"FOP0ppgahlM_","executionInfo":{"status":"ok","timestamp":1744959188498,"user_tz":-330,"elapsed":1132,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"49389a91-a5fa-4a5f-ed11-b302bc37ffc7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","6.4. Applying time series decomposition...\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x1000 with 4 Axes>"],"image/png":"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6.5. Apply standardization/normalization\n","print(\"\\n6.5. Applying standardization/normalization...\")\n","\n","# Create standardized versions of numeric features that aren't binary\n","numeric_cols = df.select_dtypes(include=['float64', 'int64']).columns\n","binary_cols = [col for col in df.columns if df[col].nunique() <= 2]\n","numeric_non_binary = [col for col in numeric_cols if col not in binary_cols and not col.endswith(('_ZScore', '_BoxCox', '_YeoJohnson', '_Log'))]\n","\n","# Z-score standardization\n","for col in numeric_non_binary:\n","    mean_val = df[col].mean()\n","    std_val = df[col].std()\n","    if std_val > 0:  # Avoid division by zero\n","        df[f'{col}_Zscore'] = (df[col] - mean_val) / std_val\n","\n","# Min-Max scaling (0 to 1 range)\n","for col in numeric_non_binary:\n","    min_val = df[col].min()\n","    max_val = df[col].max()\n","    range_val = max_val - min_val\n","    if range_val > 0:  # Avoid division by zero\n","        df[f'{col}_MinMax'] = (df[col] - min_val) / range_val\n","\n","# Robust scaling (based on IQR)\n","for col in numeric_non_binary:\n","    q1 = df[col].quantile(0.25)\n","    q3 = df[col].quantile(0.75)\n","    iqr = q3 - q1\n","    median = df[col].median()\n","    if iqr > 0:  # Avoid division by zero\n","        df[f'{col}_Robust'] = (df[col] - median) / iqr"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"seTeUnEThpvO","executionInfo":{"status":"ok","timestamp":1744956120236,"user_tz":-330,"elapsed":186,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5ec74a72-03c3-471c-ca08-dd72ad7269d2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","6.5. Applying standardization/normalization...\n"]}]},{"cell_type":"code","source":["# 6.6. Check for and handle stationarity of transformed features\n","print(\"\\n6.6. Checking stationarity of key transformed features...\")\n","\n","# Sample a few transformed price features for stationarity check\n","transformed_features = ['Close_Zscore', 'Close_MinMax', 'Close_Robust', 'Close_Diff1']\n","\n","# Test and report stationarity\n","transformed_stationarity = []\n","\n","for feature in transformed_features:\n","    if feature in df.columns and pd.notna(df[feature]).any():\n","        adf_p, kpss_p = test_stationarity(df[feature].dropna(), feature)\n","        transformed_stationarity.append([feature, adf_p, kpss_p])\n","\n","if transformed_stationarity:\n","    transformed_stat_df = pd.DataFrame(transformed_stationarity,\n","                                    columns=['Transformed Feature', 'ADF p-value', 'KPSS p-value'])\n","    print(\"\\nStationarity Test Results for Transformed Features:\")\n","    print(transformed_stat_df)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MXOSKqSAhqlG","executionInfo":{"status":"ok","timestamp":1744956122590,"user_tz":-330,"elapsed":61,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"8204dff7-3ebf-46d9-d2bf-46f7be84bd8c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","6.6. Checking stationarity of key transformed features...\n","\n","Stationarity Test Results for Transformed Features:\n","  Transformed Feature   ADF p-value  KPSS p-value\n","0        Close_Zscore  3.727291e-01          0.01\n","1        Close_MinMax  3.727291e-01          0.01\n","2        Close_Robust  3.727291e-01          0.01\n","3         Close_Diff1  3.573618e-30          0.10\n"]}]},{"cell_type":"code","source":["# 6.7. Summary of transformations\n","print(\"\\n6.7. Summary of transformations:\")\n","original_cols = 100  # From your previous output\n","transformation_cols = len([col for col in df.columns if any(suffix in col for suffix in ['_ZScore', '_BoxCox', '_YeoJohnson', '_Log', '_Diff1', '_Diff2', '_Zscore', '_MinMax', '_Robust'])])\n","\n","print(f\"Original number of features: {original_cols}\")\n","print(f\"Number of transformed features added: {transformation_cols}\")\n","print(f\"Total number of features after transformation: {len(df.columns)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dcAVZ9pIhtNN","executionInfo":{"status":"ok","timestamp":1744956124011,"user_tz":-330,"elapsed":8,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a53c706d-e05c-4279-ca36-d1a7c81b2e3f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","6.7. Summary of transformations:\n","Original number of features: 100\n","Number of transformed features added: 276\n","Total number of features after transformation: 379\n"]}]},{"cell_type":"code","source":["# 6.8. Save the transformed dataset\n","df.to_csv('/content/drive/MyDrive/Crypto-data-v2/step6_data_transformation.csv', index=True, index_label='date')\n","print(\"\\nTransformed dataset saved as 'step6_data_transformation.csv'\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"e2e9CSgQhxz-","executionInfo":{"status":"ok","timestamp":1744959266422,"user_tz":-330,"elapsed":359,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"10b01da1-2c4a-4132-87bc-3f5ee3d3a3f8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Transformed dataset saved as 'step6_data_transformation.csv'\n"]}]},{"cell_type":"code","source":["df = pd.read_csv('/content/drive/MyDrive/Crypto-data-v2/step6_data_transformation.csv', parse_dates=['date'], index_col='date')"],"metadata":{"id":"9oDRai2SKQUj"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":373},"id":"OSbsIfoTKVDH","executionInfo":{"status":"ok","timestamp":1744959275204,"user_tz":-330,"elapsed":39,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"c7cf63ec-1217-4301-c88a-08564e041e6d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume  \\\n","date                                                                \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0   \n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0   \n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0   \n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0   \n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0   \n","\n","                           Rolling_Volume_20d   Returns  Returns_Abs  \\\n","date                                                                   \n","2021-01-01 00:00:00+00:00                 NaN       NaN          NaN   \n","2021-01-02 00:00:00+00:00                 NaN -0.025988     0.025988   \n","2021-01-03 00:00:00+00:00                 NaN  0.214564     0.214564   \n","2021-01-04 00:00:00+00:00                 NaN  0.140046     0.140046   \n","2021-01-05 00:00:00+00:00                 NaN -0.133681     0.133681   \n","\n","                           Volatility_14d  Volume_Ratio  ...  \\\n","date                                                     ...   \n","2021-01-01 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-02 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-03 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-04 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-05 00:00:00+00:00             NaN           NaN  ...   \n","\n","                           ATR_14_YeoJohnson  Volatility_14d_Log  \\\n","date                                                               \n","2021-01-01 00:00:00+00:00                NaN                 NaN   \n","2021-01-02 00:00:00+00:00                NaN                 NaN   \n","2021-01-03 00:00:00+00:00                NaN                 NaN   \n","2021-01-04 00:00:00+00:00                NaN                 NaN   \n","2021-01-05 00:00:00+00:00                NaN                 NaN   \n","\n","                           Volatility_14d_BoxCox  Volume_Ratio_Log  \\\n","date                                                                 \n","2021-01-01 00:00:00+00:00                    NaN               NaN   \n","2021-01-02 00:00:00+00:00                    NaN               NaN   \n","2021-01-03 00:00:00+00:00                    NaN               NaN   \n","2021-01-04 00:00:00+00:00                    NaN               NaN   \n","2021-01-05 00:00:00+00:00                    NaN               NaN   \n","\n","                           Volume_Ratio_BoxCox  Close_Diff1  LogClose_Diff1  \\\n","date                                                                          \n","2021-01-01 00:00:00+00:00                  NaN          NaN             NaN   \n","2021-01-02 00:00:00+00:00                  NaN       -0.048       -0.026332   \n","2021-01-03 00:00:00+00:00                  NaN        0.386        0.194385   \n","2021-01-04 00:00:00+00:00                  NaN        0.306        0.131068   \n","2021-01-05 00:00:00+00:00                  NaN       -0.333       -0.143502   \n","\n","                           Log_Close_Trend  Log_Close_Seasonal  \\\n","date                                                             \n","2021-01-01 00:00:00+00:00              NaN            0.996942   \n","2021-01-02 00:00:00+00:00              NaN            0.999353   \n","2021-01-03 00:00:00+00:00              NaN            1.000135   \n","2021-01-04 00:00:00+00:00              NaN            1.001296   \n","2021-01-05 00:00:00+00:00              NaN            1.002961   \n","\n","                           Log_Close_Residual  \n","date                                           \n","2021-01-01 00:00:00+00:00                 NaN  \n","2021-01-02 00:00:00+00:00                 NaN  \n","2021-01-03 00:00:00+00:00                 NaN  \n","2021-01-04 00:00:00+00:00                 NaN  \n","2021-01-05 00:00:00+00:00                 NaN  \n","\n","[5 rows x 117 columns]"],"text/html":["\n","  <div id=\"df-497f0bb3-569c-454d-b852-30836e15b896\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Rolling_Volume_20d</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>...</th>\n","      <th>ATR_14_YeoJohnson</th>\n","      <th>Volatility_14d_Log</th>\n","      <th>Volatility_14d_BoxCox</th>\n","      <th>Volume_Ratio_Log</th>\n","      <th>Volume_Ratio_BoxCox</th>\n","      <th>Close_Diff1</th>\n","      <th>LogClose_Diff1</th>\n","      <th>Log_Close_Trend</th>\n","      <th>Log_Close_Seasonal</th>\n","      <th>Log_Close_Residual</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-01-01 00:00:00+00:00</th>\n","      <td>1.510</td>\n","      <td>1.865</td>\n","      <td>1.495</td>\n","      <td>1.847</td>\n","      <td>25722549.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0.996942</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-02 00:00:00+00:00</th>\n","      <td>1.847</td>\n","      <td>2.012</td>\n","      <td>1.752</td>\n","      <td>1.799</td>\n","      <td>31671064.0</td>\n","      <td>NaN</td>\n","      <td>-0.025988</td>\n","      <td>0.025988</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>-0.048</td>\n","      <td>-0.026332</td>\n","      <td>NaN</td>\n","      <td>0.999353</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-03 00:00:00+00:00</th>\n","      <td>1.799</td>\n","      <td>2.808</td>\n","      <td>2.007</td>\n","      <td>2.185</td>\n","      <td>55073422.0</td>\n","      <td>NaN</td>\n","      <td>0.214564</td>\n","      <td>0.214564</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0.386</td>\n","      <td>0.194385</td>\n","      <td>NaN</td>\n","      <td>1.000135</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","      <td>NaN</td>\n","      <td>0.140046</td>\n","      <td>0.140046</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0.306</td>\n","      <td>0.131068</td>\n","      <td>NaN</td>\n","      <td>1.001296</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","      <td>NaN</td>\n","      <td>-0.133681</td>\n","      <td>0.133681</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>-0.333</td>\n","      <td>-0.143502</td>\n","      <td>NaN</td>\n","      <td>1.002961</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 117 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-497f0bb3-569c-454d-b852-30836e15b896')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  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First, let's separate our target variable and features\n","# Assuming our target is the 'Close' price\n","target_column = 'Close'\n","features = df.drop(columns=[target_column])\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RylX3vi7LA1E","executionInfo":{"status":"ok","timestamp":1744959287871,"user_tz":-330,"elapsed":9,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"875a1a34-7b01-499a-8e11-7f150a1af378"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Step 7: Feature Scaling/Normalization\n"]}]},{"cell_type":"code","source":["# 7.2. Split data chronologically into train and validation sets\n","# Time series requires chronological splitting - don't shuffle!\n","train_size = 0.8  # Use 80% of data for training\n","split_idx = int(len(df) * train_size)\n","\n","# Split features and target\n","X_train = features.iloc[:split_idx]\n","X_valid = features.iloc[split_idx:]\n","y_train = df[target_column].iloc[:split_idx]\n","y_valid = df[target_column].iloc[split_idx:]\n","\n","print(f\"Training set shape: {X_train.shape}\")\n","print(f\"Validation set shape: {X_valid.shape}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qaGbgL2jLF8B","executionInfo":{"status":"ok","timestamp":1744956141955,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f17ad2a7-5a6b-4ce5-e0e4-852768eb5281"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Training set shape: (1252, 378)\n","Validation set shape: (314, 378)\n"]}]},{"cell_type":"code","source":["# 7.3. Check for columns that might cause issues during scaling\n","# Identify constant features (zero variance)\n","constant_features = [col for col in features.columns if features[col].std() == 0]\n","if constant_features:\n","    print(f\"Found {len(constant_features)} constant features (zero variance). These will be removed:\")\n","    print(constant_features[:5], \"...\" if len(constant_features) > 5 else \"\")\n","\n","    # Remove constant features\n","    X_train = X_train.drop(columns=constant_features)\n","    X_valid = X_valid.drop(columns=constant_features)\n","    print(f\"Shapes after removing constant features - Train: {X_train.shape}, Valid: {X_valid.shape}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fMgS_VIJLJs5","executionInfo":{"status":"ok","timestamp":1744956143904,"user_tz":-330,"elapsed":22,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"c88aefb5-a045-43df-cafd-e350cc1a0a44"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Found 1 constant features (zero variance). These will be removed:\n","['In_Range_Market'] \n","Shapes after removing constant features - Train: (1252, 377), Valid: (314, 377)\n"]}]},{"cell_type":"code","source":["# 7.4. Standard Scaling (Z-score normalization)\n","print(\"\\n7.4. Applying Standard Scaling (Z-score normalization)\")\n","\n","# Initialize and fit scaler\n","std_scaler = StandardScaler()\n","X_train_std = pd.DataFrame(\n","    std_scaler.fit_transform(X_train),\n","    columns=X_train.columns,\n","    index=X_train.index\n",")\n","X_valid_std = pd.DataFrame(\n","    std_scaler.transform(X_valid),\n","    columns=X_valid.columns,\n","    index=X_valid.index\n",")\n","\n","# Check the scaled data\n","print(\"Standard scaled training data statistics:\")\n","print(X_train_std.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","# Visualize a sample of standardized features\n","plt.figure(figsize=(12, 6))\n","cols_to_plot = X_train_std.columns[:5]  # Just plot first 5 columns for clarity\n","sns.boxplot(data=X_train_std[cols_to_plot])\n","plt.title('Distribution of Standardized Features')\n","plt.xticks(rotation=90)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":725},"id":"8-5mepB9LP84","executionInfo":{"status":"ok","timestamp":1744956158921,"user_tz":-330,"elapsed":555,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"79f8aba3-ab5e-48ad-a8a3-f1355dfd4e74"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.4. Applying Standard Scaling (Z-score normalization)\n","Standard scaled training data statistics:\n","                            mean       std       min       max\n","Open                6.810314e-17  1.000400 -1.082840  3.235784\n","High                1.021547e-16  1.000400 -1.083443  3.078522\n","Low                 2.156599e-16  1.000400 -1.081232  3.219599\n","Volume             -5.675261e-17  1.000400 -0.909146  9.016200\n","Rolling_Volume_20d  6.915258e-17  1.000406 -1.096397  4.019226\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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7.5. Min-Max Scaling\n","print(\"\\n7.5. Applying Min-Max Scaling\")\n","\n","# Initialize and fit scaler\n","minmax_scaler = MinMaxScaler()\n","X_train_minmax = pd.DataFrame(\n","    minmax_scaler.fit_transform(X_train),\n","    columns=X_train.columns,\n","    index=X_train.index\n",")\n","X_valid_minmax = pd.DataFrame(\n","    minmax_scaler.transform(X_valid),\n","    columns=X_valid.columns,\n","    index=X_valid.index\n",")\n","\n","# Check the scaled data\n","print(\"Min-max scaled training data statistics:\")\n","print(X_train_minmax.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","# Visualize a sample of min-max scaled features\n","plt.figure(figsize=(12, 6))\n","sns.boxplot(data=X_train_minmax[cols_to_plot])\n","plt.title('Distribution of Min-Max Scaled Features')\n","plt.xticks(rotation=90)\n","plt.tight_layout()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":725},"id":"0hdMBledLdiL","executionInfo":{"status":"ok","timestamp":1744956164109,"user_tz":-330,"elapsed":1043,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f53649d0-126a-4705-ef17-72e92b72b20e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.5. Applying Min-Max Scaling\n","Min-max scaled training data statistics:\n","                        mean       std  min  max\n","Open                0.250737  0.231648  0.0  1.0\n","High                0.260320  0.240367  0.0  1.0\n","Low                 0.251401  0.232606  0.0  1.0\n","Volume              0.091598  0.100792  0.0  1.0\n","Rolling_Volume_20d  0.214323  0.195559  0.0  1.0\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 7.6. Robust Scaling (for outlier-sensitive data)\n","print(\"\\n7.6. Applying Robust Scaling\")\n","\n","# Initialize and fit scaler\n","robust_scaler = RobustScaler()\n","X_train_robust = pd.DataFrame(\n","    robust_scaler.fit_transform(X_train),\n","    columns=X_train.columns,\n","    index=X_train.index\n",")\n","X_valid_robust = pd.DataFrame(\n","    robust_scaler.transform(X_valid),\n","    columns=X_valid.columns,\n","    index=X_valid.index\n",")\n","\n","# Check the scaled data\n","print(\"Robust scaled training data statistics:\")\n","print(X_train_robust.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","# Visualize a sample of robust scaled features\n","plt.figure(figsize=(12, 6))\n","sns.boxplot(data=X_train_robust[cols_to_plot])\n","plt.title('Distribution of Robust Scaled Features')\n","plt.xticks(rotation=90)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":725},"id":"Kcce6VHpLeZY","executionInfo":{"status":"ok","timestamp":1744956168945,"user_tz":-330,"elapsed":2222,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"b724bb77-fffc-45f1-acd0-0c6c7b85225c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.6. Applying Robust Scaling\n","Robust scaled training data statistics:\n","                        mean       std       min       max\n","Open                0.376238  0.747482 -0.432843  2.793964\n","High                0.377947  0.749081 -0.433315  2.683089\n","Low                 0.382406  0.746211 -0.424099  2.783947\n","Volume              0.261436  0.914169 -0.569344  8.500470\n","Rolling_Volume_20d  0.211879  0.739382 -0.598448  3.182418\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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7.7. Compare scaling methods for a sample feature\n","print(\"\\n7.7. Comparing Scaling Methods\")\n","\n","# Choose a feature with some outliers (e.g., Volume or a momentum feature)\n","# For demonstration, let's take 'Volume' or a derived feature\n","sample_feature = 'Volume' if 'Volume' in X_train.columns else X_train.columns[0]\n","\n","plt.figure(figsize=(15, 10))\n","\n","# Original data\n","plt.subplot(2, 2, 1)\n","plt.hist(X_train[sample_feature], bins=50)\n","plt.title(f'Original {sample_feature}')\n","\n","# Standard scaled\n","plt.subplot(2, 2, 2)\n","plt.hist(X_train_std[sample_feature], bins=50)\n","plt.title(f'Standard Scaled {sample_feature}')\n","\n","# Min-max scaled\n","plt.subplot(2, 2, 3)\n","plt.hist(X_train_minmax[sample_feature], bins=50)\n","plt.title(f'Min-Max Scaled {sample_feature}')\n","\n","# Robust scaled\n","plt.subplot(2, 2, 4)\n","plt.hist(X_train_robust[sample_feature], bins=50)\n","plt.title(f'Robust Scaled {sample_feature}')\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":791},"id":"YdToOJ7xLmur","executionInfo":{"status":"ok","timestamp":1744956184470,"user_tz":-330,"elapsed":603,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"02334783-cb92-4e0f-b007-e3284f721a0b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.7. Comparing Scaling Methods\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 4 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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 7.8. Check for potential issues after scaling\n","print(\"\\n7.8. Checking for issues after scaling\")\n","\n","# Check for NaNs in scaled data\n","print(\"NaN values after Standard scaling:\", X_train_std.isna().sum().sum())\n","print(\"NaN values after Min-Max scaling:\", X_train_minmax.isna().sum().sum())\n","print(\"NaN values after Robust scaling:\", X_train_robust.isna().sum().sum())\n","\n","# Check for infinity values\n","print(\"Infinity values after Standard scaling:\", np.isinf(X_train_std).sum().sum())\n","print(\"Infinity values after Min-Max scaling:\", np.isinf(X_train_minmax).sum().sum())\n","print(\"Infinity values after Robust scaling:\", np.isinf(X_train_robust).sum().sum())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JajfCuX1LpyO","executionInfo":{"status":"ok","timestamp":1744956216387,"user_tz":-330,"elapsed":47,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"7cd7f4c8-553f-46c0-dea6-6ed621002efd"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.8. Checking for issues after scaling\n","NaN values after Standard scaling: 5366\n","NaN values after Min-Max scaling: 5366\n","NaN values after Robust scaling: 5366\n","Infinity values after Standard scaling: 0\n","Infinity values after Min-Max scaling: 0\n","Infinity values after Robust scaling: 0\n"]}]},{"cell_type":"code","source":["# 7.9. Decide which scaling method to use based on the results\n","print(\"\\n7.9. Scaling Method Recommendation\")\n","\n","# For cryptocurrency data with potential outliers, robust scaling is often preferable\n","print(\"Based on the visualization and feature characteristics:\")\n","print(\"1. For features with normal distribution: Standard Scaling is appropriate\")\n","print(\"2. For features with outliers: Robust Scaling is recommended\")\n","print(\"3. For features that should be bounded between 0-1: Min-Max Scaling works best\")\n","\n","# For our crypto time series, a recommendation:\n","print(\"\\nRECOMMENDATION:\")\n","print(\"Since cryptocurrency data often contains outliers and extreme price movements,\")\n","print(\"Robust Scaling is generally recommended as the primary scaling method.\")\n","print(\"However, for certain models like neural networks that prefer inputs in [0,1],\")\n","print(\"Min-Max scaling might be preferred.\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"leTvHVlvL0Xd","executionInfo":{"status":"ok","timestamp":1744956220620,"user_tz":-330,"elapsed":20,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"25058234-166e-4af0-c7e5-912f390b2e9e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.9. Scaling Method Recommendation\n","Based on the visualization and feature characteristics:\n","1. For features with normal distribution: Standard Scaling is appropriate\n","2. For features with outliers: Robust Scaling is recommended\n","3. For features that should be bounded between 0-1: Min-Max Scaling works best\n","\n","RECOMMENDATION:\n","Since cryptocurrency data often contains outliers and extreme price movements,\n","Robust Scaling is generally recommended as the primary scaling method.\n","However, for certain models like neural networks that prefer inputs in [0,1],\n","Min-Max scaling might be preferred.\n"]}]},{"cell_type":"code","source":["# 7.10. Store the selected scaling method and scaled datasets for the next step\n","print(\"\\n7.10. Saving the scaled datasets\")\n","\n","# For this example, we'll proceed with Robust Scaling as our primary method\n","X_train_scaled = X_train_robust.copy()\n","X_valid_scaled = X_valid_robust.copy()\n","\n","# Store the scaler for future use (e.g., with test data or when making predictions)\n","selected_scaler = robust_scaler\n","\n","print(f\"Selected scaling method: Robust Scaling\")\n","print(f\"Final training set shape: {X_train_scaled.shape}\")\n","print(f\"Final validation set shape: {X_valid_scaled.shape}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RoCq3KDjMG3c","executionInfo":{"status":"ok","timestamp":1744956223136,"user_tz":-330,"elapsed":5,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5aafee2f-f379-404b-c19e-5e9b7d7b392b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.10. Saving the scaled datasets\n","Selected scaling method: Robust Scaling\n","Final training set shape: (1252, 377)\n","Final validation set shape: (314, 377)\n"]}]},{"cell_type":"code","source":["from statsmodels.tsa.stattools import adfuller, kpss, acf, pacf\n","from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n","import warnings\n","from sklearn.feature_selection import SelectKBest, f_regression, mutual_info_regression\n","from sklearn.decomposition import PCA\n","from sklearn.preprocessing import StandardScaler\n","import scipy.stats as stats\n","\n","warnings.filterwarnings('ignore')"],"metadata":{"id":"5YNXZvOQPcJt"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(\"\\n\" + \"=\"*80)\n","print(\"STEP 8: STATIONARITY TESTING AND TRANSFORMATION\")\n","print(\"=\"*80)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ex7tjApfQvZt","executionInfo":{"status":"ok","timestamp":1744956232767,"user_tz":-330,"elapsed":77,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"50526dc0-992c-4ca2-b787-480bde92b2a1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","================================================================================\n","STEP 8: STATIONARITY TESTING AND TRANSFORMATION\n","================================================================================\n"]}]},{"cell_type":"code","source":["# 8.1. ADF Test for Stationarity on 'Close' price\n","print(\"\\n8.1. ADF Test for Stationarity on original 'Close' price\")\n","\n","def adf_test(timeseries):\n","    \"\"\"Perform Augmented Dickey-Fuller test for stationarity\"\"\"\n","    result = adfuller(timeseries.dropna())\n","    print(f'ADF Statistic: {result[0]:.4f}')\n","    print(f'p-value: {result[1]:.4f}')\n","    print(f'Critical Values:')\n","    for key, value in result[4].items():\n","        print(f'\\t{key}: {value:.4f}')\n","    # Interpret the result\n","    if result[1] <= 0.05:\n","        print(\"Result: Stationary (Reject null hypothesis of non-stationarity)\")\n","    else:\n","        print(\"Result: Non-stationary (Fail to reject null hypothesis of non-stationarity)\")\n","    return result[1] <= 0.05  # Returns True if stationary\n","\n","# Test original Close price\n","is_close_stationary = adf_test(df['Close'])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nMT6sK-SQ3Yc","executionInfo":{"status":"ok","timestamp":1744956235835,"user_tz":-330,"elapsed":62,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"00fc49c9-1fb6-491c-c72b-b960b2d68e3c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.1. ADF Test for Stationarity on original 'Close' price\n","ADF Statistic: -1.8156\n","p-value: 0.3727\n","Critical Values:\n","\t1%: -3.4345\n","\t5%: -2.8634\n","\t10%: -2.5678\n","Result: Non-stationary (Fail to reject null hypothesis of non-stationarity)\n"]}]},{"cell_type":"code","source":["# 8.2. KPSS Test for Stationarity (complementary test)\n","print(\"\\n8.2. KPSS Test for Stationarity on original 'Close' price\")\n","\n","def kpss_test(timeseries):\n","    \"\"\"Perform KPSS test for stationarity\"\"\"\n","    result = kpss(timeseries.dropna(), regression='c')\n","    print(f'KPSS Statistic: {result[0]:.4f}')\n","    print(f'p-value: {result[1]:.4f}')\n","    print(f'Critical Values:')\n","    for key, value in result[3].items():\n","        print(f'\\t{key}: {value:.4f}')\n","    # Interpret the result\n","    if result[1] <= 0.05:\n","        print(\"Result: Non-stationary (Reject null hypothesis of stationarity)\")\n","    else:\n","        print(\"Result: Stationary (Fail to reject null hypothesis of stationarity)\")\n","    return result[1] > 0.05  # Returns True if stationary\n","\n","# Test original Close price with KPSS\n","is_close_stationary_kpss = kpss_test(df['Close'])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nvNSBTnoRYNX","executionInfo":{"status":"ok","timestamp":1744956239496,"user_tz":-330,"elapsed":46,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"83d96803-4b36-4fd4-d252-58009d764e7c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.2. KPSS Test for Stationarity on original 'Close' price\n","KPSS Statistic: 1.7307\n","p-value: 0.0100\n","Critical Values:\n","\t10%: 0.3470\n","\t5%: 0.4630\n","\t2.5%: 0.5740\n","\t1%: 0.7390\n","Result: Non-stationary (Reject null hypothesis of stationarity)\n"]}]},{"cell_type":"code","source":["# 8.3. Visualize the original time series\n","plt.figure(figsize=(14, 7))\n","plt.subplot(211)\n","plt.plot(df['Close'])\n","plt.title('Original Solana Close Price')\n","plt.grid(True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":313},"id":"pvk44paNRdw2","executionInfo":{"status":"ok","timestamp":1744956242770,"user_tz":-330,"elapsed":203,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"20d7d3d0-1503-46f1-85af-01531ed036e1"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 8.4. Apply differencing if needed\n","print(\"\\n8.4. Applying differencing to achieve stationarity\")\n","\n","# First differencing\n","df['Close_diff1'] = df['Close'].diff().dropna()\n","\n","# Test first difference\n","print(\"\\nADF Test for first difference:\")\n","is_diff1_stationary = adf_test(df['Close_diff1'].dropna())\n","\n","# Second differencing if needed\n","if not is_diff1_stationary:\n","    df['Close_diff2'] = df['Close_diff1'].diff().dropna()\n","    print(\"\\nADF Test for second difference:\")\n","    is_diff2_stationary = adf_test(df['Close_diff2'].dropna())\n","\n","# Visualize differenced series\n","plt.subplot(212)\n","plt.plot(df['Close_diff1'])\n","plt.title('First Difference of Solana Close Price')\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":468},"id":"KF1MjRVPSgfw","executionInfo":{"status":"ok","timestamp":1744956512552,"user_tz":-330,"elapsed":251,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"92389d7c-b0fd-4519-c856-afd788e6f93b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.4. Applying differencing to achieve stationarity\n","\n","ADF Test for first difference:\n","ADF Statistic: -17.6906\n","p-value: 0.0000\n","Critical Values:\n","\t1%: -3.4345\n","\t5%: -2.8634\n","\t10%: -2.5678\n","Result: Stationary (Reject null hypothesis of non-stationarity)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 8.5. Log transformation (often useful for financial data)\n","print(\"\\n8.5. Applying log transformation\")\n","\n","# Add small constant to handle zeros if present\n","min_close = df['Close'].min()\n","constant = 0.01 if min_close <= 0 else 0\n","\n","# Apply log transformation\n","df['Close_log'] = np.log(df['Close'] + constant)\n","\n","# Test log-transformed series\n","print(\"\\nADF Test for log-transformed Close price:\")\n","is_log_stationary = adf_test(df['Close_log'].dropna())\n","\n","# Visualize log-transformed series\n","plt.figure(figsize=(14, 7))\n","plt.subplot(211)\n","plt.plot(df['Close_log'])\n","plt.title('Log-transformed Solana Close Price')\n","plt.grid(True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":508},"id":"K6AAW-W_SpB4","executionInfo":{"status":"ok","timestamp":1744956515823,"user_tz":-330,"elapsed":273,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"d717bb10-e0ca-4175-95df-780dd20ff318"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.5. Applying log transformation\n","\n","ADF Test for log-transformed Close price:\n","ADF Statistic: -2.6353\n","p-value: 0.0859\n","Critical Values:\n","\t1%: -3.4346\n","\t5%: -2.8634\n","\t10%: -2.5678\n","Result: Non-stationary (Fail to reject null hypothesis of non-stationarity)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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8.6. Differencing log-transformed series if needed\n","if not is_log_stationary:\n","    df['Close_log_diff1'] = df['Close_log'].diff().dropna()\n","    print(\"\\nADF Test for first difference of log-transformed Close price:\")\n","    is_log_diff1_stationary = adf_test(df['Close_log_diff1'].dropna())\n","\n","    # Visualize differenced log-transformed series\n","    plt.subplot(212)\n","    plt.plot(df['Close_log_diff1'])\n","    plt.title('First Difference of Log-transformed Solana Close Price')\n","    plt.grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":433},"id":"hHVER_PWSzl0","executionInfo":{"status":"ok","timestamp":1744956518686,"user_tz":-330,"elapsed":238,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ab60e78a-7360-4d0b-9d41-7958372474e8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","ADF Test for first difference of log-transformed Close price:\n","ADF Statistic: -12.1820\n","p-value: 0.0000\n","Critical Values:\n","\t1%: -3.4346\n","\t5%: -2.8634\n","\t10%: -2.5678\n","Result: Stationary (Reject null hypothesis of non-stationarity)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 8.7. Seasonal differencing if needed (uncommon for daily crypto data)\n","print(\"\\n8.7. Checking for seasonality and seasonal differencing\")\n","print(\"Note: Daily cryptocurrency data typically doesn't exhibit strong seasonality\")\n","print(\"but weekly patterns are sometimes observed.\")\n","\n","# Weekly seasonal differencing example (if weekly patterns exist)\n","df['Close_seasonal_diff7'] = df['Close'].diff(7).dropna()\n","\n","# Test weekly differenced series\n","print(\"\\nADF Test for weekly differenced Close price:\")\n","is_seasonal_diff_stationary = adf_test(df['Close_seasonal_diff7'].dropna())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WWwxVM1TS0mA","executionInfo":{"status":"ok","timestamp":1744956521178,"user_tz":-330,"elapsed":37,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"800a3910-d83c-4c7b-a170-2b13f221907d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.7. Checking for seasonality and seasonal differencing\n","Note: Daily cryptocurrency data typically doesn't exhibit strong seasonality\n","but weekly patterns are sometimes observed.\n","\n","ADF Test for weekly differenced Close price:\n","ADF Statistic: -6.7208\n","p-value: 0.0000\n","Critical Values:\n","\t1%: -3.4346\n","\t5%: -2.8634\n","\t10%: -2.5678\n","Result: Stationary (Reject null hypothesis of non-stationarity)\n"]}]},{"cell_type":"code","source":["# 8.8. Select the most appropriate transformation based on tests\n","print(\"\\n8.8. Selecting the most appropriate transformation\")\n","\n","# Choose the most stationary transformation\n","transformations = {\n","    'Original': is_close_stationary,\n","    'First Difference': is_diff1_stationary if 'Close_diff1' in df.columns else False,\n","    'Second Difference': is_diff2_stationary if 'Close_diff2' in df.columns else False,\n","    'Log Transform': is_log_stationary,\n","    'Log + First Difference': is_log_diff1_stationary if 'Close_log_diff1' in df.columns else False,\n","    'Seasonal Difference': is_seasonal_diff_stationary\n","}\n","\n","# Find which transformations achieved stationarity\n","stationary_transformations = [k for k, v in transformations.items() if v]\n","\n","print(\"Transformations that achieved stationarity:\")\n","for t in stationary_transformations:\n","    print(f\"- {t}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VZ4DSLXqS7wW","executionInfo":{"status":"ok","timestamp":1744956523950,"user_tz":-330,"elapsed":21,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"aae75d03-f536-417f-9db6-d61b6885597f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","8.8. Selecting the most appropriate transformation\n","Transformations that achieved stationarity:\n","- First Difference\n","- Log + First Difference\n","- Seasonal Difference\n"]}]},{"cell_type":"code","source":["# Recommend the simplest transformation that achieved stationarity\n","if stationary_transformations:\n","    # Prioritize simpler transformations\n","    priority_order = ['Original', 'Log Transform', 'First Difference', 'Seasonal Difference',\n","                     'Log + First Difference', 'Second Difference']\n","\n","    for p in priority_order:\n","        if p in stationary_transformations:\n","            recommended = p\n","            break\n","    else:\n","        recommended = stationary_transformations[0]  # default to first if none in priority list\n","\n","    print(f\"\\nRecommended transformation: {recommended}\")\n","\n","    # Map the transformation to the column name\n","    transformation_columns = {\n","        'Original': 'Close',\n","        'First Difference': 'Close_diff1',\n","        'Second Difference': 'Close_diff2',\n","        'Log Transform': 'Close_log',\n","        'Log + First Difference': 'Close_log_diff1',\n","        'Seasonal Difference': 'Close_seasonal_diff7'\n","    }\n","\n","    selected_target = transformation_columns[recommended]\n","    print(f\"Selected target column for modeling: {selected_target}\")\n","else:\n","    print(\"\\nWarning: No transformation achieved stationarity according to both tests.\")\n","    print(\"Proceeding with first differencing as a default transformation.\")\n","    selected_target = 'Close_diff1'\n","\n","# Store the selected target column for later use\n","df['selected_target'] = df[selected_target]\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"x1uT8TFzTG1U","executionInfo":{"status":"ok","timestamp":1744956526054,"user_tz":-330,"elapsed":8,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"b0dcea6a-0989-45e4-a9ba-9a47a28d3829"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Recommended transformation: First Difference\n","Selected target column for modeling: Close_diff1\n"]}]},{"cell_type":"code","source":["print(\"\\n\" + \"=\"*80)\n","print(\"STEP 9: AUTOCORRELATION ANALYSIS\")\n","print(\"=\"*80)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eJSkmSjpUHTH","executionInfo":{"status":"ok","timestamp":1744956530344,"user_tz":-330,"elapsed":10,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a914454b-35ba-4a9d-9fe7-b307e15686e0"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","================================================================================\n","STEP 9: AUTOCORRELATION ANALYSIS\n","================================================================================\n"]}]},{"cell_type":"code","source":["# 9.1. Calculate ACF (Autocorrelation Function)\n","print(\"\\n9.1. Calculating ACF for the selected target\")\n","\n","target_data = df['selected_target'].dropna()\n","lags = min(40, len(target_data) // 10)  # Use 40 lags or 10% of data length, whichever is smaller\n","\n","# Calculate ACF values\n","acf_values = acf(target_data, nlags=lags, fft=True)\n","print(f\"ACF calculation complete. Shape: {acf_values.shape}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FxD9LQ1GUYS9","executionInfo":{"status":"ok","timestamp":1744956533152,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"6147033f-04fd-4768-d960-222e3082a760"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","9.1. Calculating ACF for the selected target\n","ACF calculation complete. Shape: (41,)\n"]}]},{"cell_type":"code","source":["# 9.2. Calculate PACF (Partial Autocorrelation Function)\n","print(\"\\n9.2. Calculating PACF for the selected target\")\n","\n","# Calculate PACF values\n","pacf_values = pacf(target_data, nlags=lags)\n","print(f\"PACF calculation complete. Shape: {pacf_values.shape}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vcIRELwDUbdl","executionInfo":{"status":"ok","timestamp":1744956535017,"user_tz":-330,"elapsed":151,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"1468032e-cd95-4713-8c3e-93fb872a0f20"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","9.2. Calculating PACF for the selected target\n","PACF calculation complete. Shape: (41,)\n"]}]},{"cell_type":"code","source":["# 9.3. Plot ACF and PACF\n","plt.figure(figsize=(18, 8))\n","\n","# ACF plot\n","plt.subplot(121)\n","plot_acf(target_data, lags=lags, ax=plt.gca(), title=f'ACF for {selected_target}', alpha=0.05)\n","plt.grid(True)\n","\n","# PACF plot\n","plt.subplot(122)\n","plot_pacf(target_data, lags=lags, ax=plt.gca(), title=f'PACF for {selected_target}', alpha=0.05)\n","plt.grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":508},"id":"Ifn5o5SuUfbn","executionInfo":{"status":"ok","timestamp":1744956536954,"user_tz":-330,"elapsed":295,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"016319e4-0111-4f5b-9eca-43aa07f13979"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1800x800 with 2 Axes>"],"image/png":"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9.4. Identify significant lags for feature selection\n","print(\"\\n9.4. Identifying significant lags from ACF and PACF\")\n","\n","# Calculate confidence interval (95%)\n","confidence_interval = 1.96 / np.sqrt(len(target_data))\n","\n","# Find significant ACF lags\n","significant_acf_lags = [i for i, v in enumerate(acf_values) if abs(v) > confidence_interval and i > 0]\n","print(f\"Significant ACF lags: {significant_acf_lags[:10]}{'...' if len(significant_acf_lags) > 10 else ''}\")\n","\n","# Find significant PACF lags\n","significant_pacf_lags = [i for i, v in enumerate(pacf_values) if abs(v) > confidence_interval and i > 0]\n","print(f\"Significant PACF lags: {significant_pacf_lags[:10]}{'...' if len(significant_pacf_lags) > 10 else ''}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"X0YrLgS0Uk1w","executionInfo":{"status":"ok","timestamp":1744956540148,"user_tz":-330,"elapsed":50,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e7db9806-4b86-4733-8bd0-dc9629310105"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","9.4. Identifying significant lags from ACF and PACF\n","Significant ACF lags: [5, 17, 18, 25, 35, 37, 39]\n","Significant PACF lags: [5, 17, 18, 25, 35, 37, 39, 40]\n"]}]},{"cell_type":"code","source":["# 9.5. Suggest ARIMA orders based on ACF/PACF\n","print(\"\\n9.5. Suggesting ARIMA orders based on ACF/PACF patterns\")\n","\n","# Simple heuristic for AR and MA orders\n","p_order = max(significant_pacf_lags) if significant_pacf_lags else 0\n","q_order = max(significant_acf_lags) if significant_acf_lags else 0\n","\n","# Calculate d_order based on differencing needed\n","if selected_target == 'Close':\n","    d_order = 0\n","elif selected_target in ['Close_diff1', 'Close_log_diff1', 'Close_seasonal_diff7']:\n","    d_order = 1\n","elif selected_target == 'Close_diff2':\n","    d_order = 2\n","else:\n","    d_order = 0\n","\n","print(f\"Suggested ARIMA orders based on ACF/PACF analysis:\")\n","print(f\"p (AR order): {p_order}\")\n","print(f\"d (Differencing): {d_order}\")\n","print(f\"q (MA order): {q_order}\")\n","print(f\"Suggested ARIMA({p_order},{d_order},{q_order})\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6eSD5FdZVJ9n","executionInfo":{"status":"ok","timestamp":1744956542989,"user_tz":-330,"elapsed":11,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"84066e7f-6b80-46a2-b528-f72e1c4da829"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","9.5. Suggesting ARIMA orders based on ACF/PACF patterns\n","Suggested ARIMA orders based on ACF/PACF analysis:\n","p (AR order): 40\n","d (Differencing): 1\n","q (MA order): 39\n","Suggested ARIMA(40,1,39)\n"]}]},{"cell_type":"code","source":["# 9.6. Create lagged features based on significant lags\n","print(\"\\n9.6. Creating lagged features based on significant autocorrelations\")\n","\n","# Combine significant lags from both ACF and PACF\n","all_significant_lags = sorted(list(set(significant_acf_lags + significant_pacf_lags)))\n","print(f\"All significant lags to use as features: {all_significant_lags[:10]}{'...' if len(all_significant_lags) > 10 else ''}\")\n","\n","# Cap the number of lags to avoid excessive features\n","max_lags = 20\n","if len(all_significant_lags) > max_lags:\n","    print(f\"Limiting to top {max_lags} lags for feature creation\")\n","    all_significant_lags = all_significant_lags[:max_lags]\n","\n","# Create lagged features based on significant lags\n","for lag in all_significant_lags:\n","    col_name = f'{selected_target}_lag{lag}'\n","    df[col_name] = df['selected_target'].shift(lag)\n","\n","print(f\"Created {len(all_significant_lags)} new lagged features based on autocorrelation analysis\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LZUOFUXpVRGE","executionInfo":{"status":"ok","timestamp":1744956546586,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5ab6ed14-462c-4e9c-815f-097e83cbf246"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","9.6. Creating lagged features based on significant autocorrelations\n","All significant lags to use as features: [5, 17, 18, 25, 35, 37, 39, 40]\n","Created 8 new lagged features based on autocorrelation analysis\n"]}]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":278},"id":"bzHnrztsdgZY","executionInfo":{"status":"ok","timestamp":1744956549962,"user_tz":-330,"elapsed":50,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"645a9045-f52d-4767-c1d6-591cc015b415"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume  \\\n","date                                                                \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0   \n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0   \n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0   \n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0   \n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0   \n","\n","                           Rolling_Volume_20d   Returns  Returns_Abs  \\\n","date                                                                   \n","2021-01-01 00:00:00+00:00                 NaN       NaN          NaN   \n","2021-01-02 00:00:00+00:00                 NaN -0.025988     0.025988   \n","2021-01-03 00:00:00+00:00                 NaN  0.214564     0.214564   \n","2021-01-04 00:00:00+00:00                 NaN  0.140046     0.140046   \n","2021-01-05 00:00:00+00:00                 NaN -0.133681     0.133681   \n","\n","                           Volatility_14d  Volume_Ratio  ...  \\\n","date                                                     ...   \n","2021-01-01 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-02 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-03 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-04 00:00:00+00:00             NaN           NaN  ...   \n","2021-01-05 00:00:00+00:00             NaN           NaN  ...   \n","\n","                           Close_seasonal_diff7  selected_target  \\\n","date                                                               \n","2021-01-01 00:00:00+00:00                   NaN              NaN   \n","2021-01-02 00:00:00+00:00                   NaN           -0.048   \n","2021-01-03 00:00:00+00:00                   NaN            0.386   \n","2021-01-04 00:00:00+00:00                   NaN            0.306   \n","2021-01-05 00:00:00+00:00                   NaN           -0.333   \n","\n","                           Close_diff1_lag5  Close_diff1_lag17  \\\n","date                                                             \n","2021-01-01 00:00:00+00:00               NaN                NaN   \n","2021-01-02 00:00:00+00:00               NaN                NaN   \n","2021-01-03 00:00:00+00:00               NaN                NaN   \n","2021-01-04 00:00:00+00:00               NaN                NaN   \n","2021-01-05 00:00:00+00:00               NaN                NaN   \n","\n","                           Close_diff1_lag18  Close_diff1_lag25  \\\n","date                                                              \n","2021-01-01 00:00:00+00:00                NaN                NaN   \n","2021-01-02 00:00:00+00:00                NaN                NaN   \n","2021-01-03 00:00:00+00:00                NaN                NaN   \n","2021-01-04 00:00:00+00:00                NaN                NaN   \n","2021-01-05 00:00:00+00:00                NaN                NaN   \n","\n","                           Close_diff1_lag35  Close_diff1_lag37  \\\n","date                                                              \n","2021-01-01 00:00:00+00:00                NaN                NaN   \n","2021-01-02 00:00:00+00:00                NaN                NaN   \n","2021-01-03 00:00:00+00:00                NaN                NaN   \n","2021-01-04 00:00:00+00:00                NaN                NaN   \n","2021-01-05 00:00:00+00:00                NaN                NaN   \n","\n","                           Close_diff1_lag39  Close_diff1_lag40  \n","date                                                             \n","2021-01-01 00:00:00+00:00                NaN                NaN  \n","2021-01-02 00:00:00+00:00                NaN                NaN  \n","2021-01-03 00:00:00+00:00                NaN                NaN  \n","2021-01-04 00:00:00+00:00                NaN                NaN  \n","2021-01-05 00:00:00+00:00                NaN                NaN  \n","\n","[5 rows x 392 columns]"],"text/html":["\n","  <div id=\"df-444ad7c8-50b3-4aab-a594-c033baf9baac\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Rolling_Volume_20d</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>...</th>\n","      <th>Close_seasonal_diff7</th>\n","      <th>selected_target</th>\n","      <th>Close_diff1_lag5</th>\n","      <th>Close_diff1_lag17</th>\n","      <th>Close_diff1_lag18</th>\n","      <th>Close_diff1_lag25</th>\n","      <th>Close_diff1_lag35</th>\n","      <th>Close_diff1_lag37</th>\n","      <th>Close_diff1_lag39</th>\n","      <th>Close_diff1_lag40</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-01-01 00:00:00+00:00</th>\n","      <td>1.510</td>\n","      <td>1.865</td>\n","      <td>1.495</td>\n","      <td>1.847</td>\n","      <td>25722549.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-02 00:00:00+00:00</th>\n","      <td>1.847</td>\n","      <td>2.012</td>\n","      <td>1.752</td>\n","      <td>1.799</td>\n","      <td>31671064.0</td>\n","      <td>NaN</td>\n","      <td>-0.025988</td>\n","      <td>0.025988</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>-0.048</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-03 00:00:00+00:00</th>\n","      <td>1.799</td>\n","      <td>2.808</td>\n","      <td>2.007</td>\n","      <td>2.185</td>\n","      <td>55073422.0</td>\n","      <td>NaN</td>\n","      <td>0.214564</td>\n","      <td>0.214564</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>0.386</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","      <td>NaN</td>\n","      <td>0.140046</td>\n","      <td>0.140046</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>0.306</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","      <td>NaN</td>\n","      <td>-0.133681</td>\n","      <td>0.133681</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>-0.333</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 392 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-444ad7c8-50b3-4aab-a594-c033baf9baac')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 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Prepare the dataset for feature selection\n","print(\"\\n10.1. Preparing dataset for feature selection\")\n","\n","# Use our selected target and drop rows with NaN values\n","y = df['selected_target'].dropna()\n","X = df.drop(columns=['selected_target']).loc[y.index]\n","\n","# Drop target-related columns and datetime index to avoid data leakage\n","target_related_cols = [col for col in X.columns if 'Close' in col]\n","X = X.drop(columns=target_related_cols, errors='ignore')\n","\n","# Convert index to features if useful\n","X['day_of_week'] = X.index.dayofweek\n","X['day_of_month'] = X.index.day\n","X['month'] = X.index.month\n","\n","# Drop any remaining NaN values\n","X = X.dropna(axis=1)  # Drop columns with any NaN\n","y = y.loc[X.index]  # Align y with X\n","\n","print(f\"Dataset prepared: X shape = {X.shape}, y shape = {y.shape}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WwIPVgnLVkNm","executionInfo":{"status":"ok","timestamp":1744956556427,"user_tz":-330,"elapsed":10,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"78a54dd2-1186-4c90-bb62-a69ea0051895"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.1. Preparing dataset for feature selection\n","Dataset prepared: X shape = (1565, 129), y shape = (1565,)\n"]}]},{"cell_type":"code","source":["# 10.2. Filter-based feature selection (correlation)\n","print(\"\\n10.2. Filter-based feature selection (correlation)\")\n","\n","# Calculate correlation with target\n","correlation_with_target = X.corrwith(y).abs().sort_values(ascending=False)\n","\n","# Display top correlated features\n","print(\"Top 20 features by correlation with target:\")\n","print(correlation_with_target.head(20))\n","\n","# Create a correlation threshold\n","correlation_threshold = 0.3\n","high_corr_features = correlation_with_target[correlation_with_target > correlation_threshold].index.tolist()\n","print(f\"\\nFeatures with correlation > {correlation_threshold}: {len(high_corr_features)}\")\n","print(f\"Sample high correlation features: {high_corr_features[:5]}{'...' if len(high_corr_features) > 5 else ''}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fzCKi0QOVnpZ","executionInfo":{"status":"ok","timestamp":1744956615627,"user_tz":-330,"elapsed":46,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a966b7ee-8f45-4204-fdf6-2b37533a2cd9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.2. Filter-based feature selection (correlation)\n","Top 20 features by correlation with target:\n","Returns_BoxCox        0.730911\n","Returns_Robust        0.728578\n","Returns_MinMax        0.728578\n","Returns               0.728578\n","Returns_Zscore        0.728578\n","Higher_High           0.369642\n","Lower_Low             0.341956\n","MACD_Hist_MinMax      0.193553\n","MACD_Hist_Robust      0.193553\n","MACD_Hist_Zscore      0.193553\n","MACD_Hist             0.193553\n","RSI_Overbought        0.188503\n","Extreme_Move          0.148035\n","Price_Above_SMA_50    0.127416\n","RSI_Oversold          0.121136\n","Returns_Abs_Zscore    0.093706\n","Returns_Abs_Robust    0.093706\n","Returns_Abs_MinMax    0.093706\n","Returns_Abs           0.093706\n","MACD_Line             0.081650\n","dtype: float64\n","\n","Features with correlation > 0.3: 7\n","Sample high correlation features: ['Returns_BoxCox', 'Returns_Robust', 'Returns_MinMax', 'Returns', 'Returns_Zscore']...\n"]}]},{"cell_type":"code","source":["# 10.3. Mutual Information for non-linear relationships\n","print(\"\\n10.3. Mutual Information for non-linear relationships\")\n","\n","# Calculate mutual information scores (handle possible errors)\n","try:\n","    X_scaled = StandardScaler().fit_transform(X)\n","    mi_scores = mutual_info_regression(X_scaled, y)\n","    mi_scores = pd.Series(mi_scores, index=X.columns)\n","    mi_scores = mi_scores.sort_values(ascending=False)\n","\n","    # Display top features by mutual information\n","    print(\"Top 20 features by mutual information:\")\n","    print(mi_scores.head(20))\n","\n","    # Select top features by mutual information\n","    mi_threshold = np.percentile(mi_scores, 70)  # Top 30% of features\n","    high_mi_features = mi_scores[mi_scores > mi_threshold].index.tolist()\n","    print(f\"\\nTop 30% features by mutual information: {len(high_mi_features)}\")\n","    print(f\"Sample high MI features: {high_mi_features[:5]}{'...' if len(high_mi_features) > 5 else ''}\")\n","except Exception as e:\n","    print(f\"Error calculating mutual information: {e}\")\n","    high_mi_features = []\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"XugfkxJeVue-","executionInfo":{"status":"ok","timestamp":1744956646118,"user_tz":-330,"elapsed":842,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"dc282a93-fa2e-4bc9-ac39-ec85dfde245d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.3. Mutual Information for non-linear relationships\n","Top 20 features by mutual information:\n","Returns_BoxCox        1.394061\n","Returns_Robust        1.392086\n","Returns_Zscore        1.392086\n","Returns_MinMax        1.392086\n","Returns               1.392073\n","Returns_Abs_Zscore    0.713890\n","Returns_Abs           0.713877\n","Returns_Abs_Robust    0.713877\n","Returns_Abs_MinMax    0.713858\n","Volume_BoxCox         0.403001\n","Volume_Log            0.402110\n","Log_Volume_MinMax     0.402110\n","Log_Volume_Robust     0.402110\n","Log_Volume            0.402110\n","Log_Volume_Zscore     0.402110\n","Volume_MinMax         0.392841\n","Volume                0.392841\n","Volume_Robust         0.392841\n","Volume_Zscore         0.392841\n","EMA_20_MinMax         0.346204\n","dtype: float64\n","\n","Top 30% features by mutual information: 39\n","Sample high MI features: ['Returns_BoxCox', 'Returns_Robust', 'Returns_Zscore', 'Returns_MinMax', 'Returns']...\n"]}]},{"cell_type":"code","source":["# 10.4. Combine feature selection methods\n","print(\"\\n10.4. Combining feature selection methods\")\n","\n","# Combine high correlation and high mutual information features\n","if high_mi_features:\n","    selected_features = list(set(high_corr_features + high_mi_features))\n","else:\n","    selected_features = high_corr_features\n","\n","print(f\"Combined selected features: {len(selected_features)}\")\n","\n","# If we have too many features, apply SelectKBest\n","max_features = 100  # Maximum number of features to keep\n","if len(selected_features) > max_features:\n","    print(f\"\\nToo many features ({len(selected_features)}). Reducing to {max_features} using SelectKBest\")\n","\n","    # Apply SelectKBest\n","    selector = SelectKBest(f_regression, k=max_features)\n","    X_selected = selector.fit_transform(X[selected_features], y)\n","\n","    # Get selected feature names\n","    selected_mask = selector.get_support()\n","    selected_features = [selected_features[i] for i in range(len(selected_features)) if selected_mask[i]]\n","\n","    print(f\"Final number of features after SelectKBest: {len(selected_features)}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hKQIdNeZV3tP","executionInfo":{"status":"ok","timestamp":1744956648064,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"c9bc8431-09f8-4539-99a6-521f983c50b6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.4. Combining feature selection methods\n","Combined selected features: 41\n"]}]},{"cell_type":"code","source":["# 10.5. Feature importance visualization\n","print(\"\\n10.5. Visualizing feature importance\")\n","\n","# Plot top 20 features by correlation\n","plt.figure(figsize=(14, 8))\n","correlation_with_target[selected_features].sort_values(ascending=False).head(20).plot(kind='bar')\n","plt.title('Top 20 Features by Correlation with Target')\n","plt.grid(True, axis='y')\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":684},"id":"dCPacSZgV7d9","executionInfo":{"status":"ok","timestamp":1744956651249,"user_tz":-330,"elapsed":282,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"539af8a2-4f09-4664-9f6f-812573dc3bf6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.5. Visualizing feature importance\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x800 with 1 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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 10.6. PCA for dimensionality reduction (if needed)\n","print(\"\\n10.6. PCA for dimensionality reduction\")\n","\n","# Decide whether to use PCA based on number of features\n","if len(selected_features) > 50:\n","    print(f\"Large number of features ({len(selected_features)}). Applying PCA.\")\n","\n","    # Apply PCA\n","    X_selected = X[selected_features]\n","    X_scaled = StandardScaler().fit_transform(X_selected)\n","\n","    pca = PCA(n_components=0.95)  # Retain 95% of variance\n","    X_pca = pca.fit_transform(X_scaled)\n","\n","    print(f\"PCA reduced dimensions from {X_scaled.shape[1]} to {X_pca.shape[1]}\")\n","    print(f\"Explained variance ratio: {pca.explained_variance_ratio_}\")\n","\n","    # Plot explained variance\n","    plt.figure(figsize=(12, 6))\n","    plt.plot(np.cumsum(pca.explained_variance_ratio_))\n","    plt.xlabel('Number of Components')\n","    plt.ylabel('Cumulative Explained Variance')\n","    plt.grid(True)\n","    plt.title('PCA Explained Variance')\n","    plt.tight_layout()\n","    plt.show()\n","\n","    # Store PCA result\n","    use_pca = True\n","    n_components = X_pca.shape[1]\n","else:\n","    print(f\"Using {len(selected_features)} selected features without PCA.\")\n","    use_pca = False\n","    X_selected = X[selected_features]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"m8spWZ58WIyw","executionInfo":{"status":"ok","timestamp":1744956654123,"user_tz":-330,"elapsed":123,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"83f82df7-b9bf-474c-b569-2fd27939f3b5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.6. PCA for dimensionality reduction\n","Using 41 selected features without PCA.\n"]}]},{"cell_type":"code","source":["# 10.7. Final dataset with selected features\n","print(\"\\n10.7. Preparing final dataset with selected features\")\n","\n","if use_pca:\n","    print(f\"Final dataset uses PCA with {n_components} components\")\n","    # We'll need to store the PCA and StandardScaler objects for later transformation\n","    final_X = pd.DataFrame(X_pca, index=X.index)\n","    # Create column names for PCA components\n","    final_X.columns = [f'PC{i+1}' for i in range(n_components)]\n","else:\n","    print(f\"Final dataset uses {len(selected_features)} original features\")\n","    final_X = X[selected_features]\n","\n","final_y = y\n","\n","print(f\"Final dataset: X shape = {final_X.shape}, y shape = {final_y.shape}\")\n","print(f\"First 5 columns: {final_X.columns[:5]}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"y5HtXHbrWOGn","executionInfo":{"status":"ok","timestamp":1744956656552,"user_tz":-330,"elapsed":86,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"6e403ce1-eabc-48ac-8818-542a13848207"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.7. Preparing final dataset with selected features\n","Final dataset uses 41 original features\n","Final dataset: X shape = (1565, 41), y shape = (1565,)\n","First 5 columns: Index(['Open_Robust', 'Volume_MinMax', 'EMA_20_MinMax', 'Open_MinMax',\n","       'High_Zscore'],\n","      dtype='object')\n"]}]},{"cell_type":"code","source":["final_y.head()\n","final_y.to_csv('/content/drive/MyDrive/Crypto-data-v2/final_y.csv', index=True)\n"],"metadata":{"id":"58uxUOfvfCh_"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["final_X.head()\n","final_X.to_csv('/content/drive/MyDrive/Crypto-data-v2/final_X.csv', index=True)\n"],"metadata":{"id":"z6PeKzYvrBR4"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(\"\\n\" + \"=\"*80)\n","print(\"STEP 11: WINDOW CREATION\")\n","print(\"=\"*80)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"p7DSHJ8wWTzg","executionInfo":{"status":"ok","timestamp":1744956783498,"user_tz":-330,"elapsed":7,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a3876f8e-0c1d-4f8b-bfdc-9adbfaccfe41"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","================================================================================\n","STEP 11: WINDOW CREATION\n","================================================================================\n"]}]},{"cell_type":"code","source":["# 11.1. Define window parameters\n","print(\"\\n11.1. Defining window parameters\")\n","\n","# For time series forecasting\n","# input_window_size = max(all_significant_lags) if all_significant_lags else 10\n","# forecast_horizon = 1  # Predict next day's price\n","\n","# print(f\"Input window size: {input_window_size} days\")\n","# print(f\"Forecast horizon: {forecast_horizon} day(s)\")\n","\n","# 11.1. Define key parameters for TFT\n","lookback_window = 30  # Number of past time steps to use for context\n","forecast_horizon = 7  # Number of future time steps to predict\n","max_prediction_length = 1"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7c5MTS2fWsTd","executionInfo":{"status":"ok","timestamp":1744888894846,"user_tz":-330,"elapsed":794,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"2bc4a05a-96b7-4d23-8668-704bf10d91ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","11.1. Defining window parameters\n","Input window size: 40 days\n","Forecast horizon: 1 day(s)\n"]}]},{"cell_type":"code","source":["# 11.2. Prepare the dataset with appropriate features\n","# Load your processed dataset with the 41 selected features\n","# Assuming df_selected is your dataframe with the 41 selected features\n","df_selected = final_X"],"metadata":{"id":"uI436rDMa2Jg"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.3. Categorize features by type (required for TFT)\n","# These need to be adjusted based on your specific 41 features\n","static_features = []  # Features that don't change over time\n","time_varying_known_features = [col for col in df_selected.columns if col not in ['Close_diff1'] + static_features]\n","time_varying_unknown_features = []\n","\n","# Target variable\n","target = 'Close_diff1'  # First difference of Close price\n","\n","print(f\"Static features: {len(static_features)}\")\n","print(f\"Time-varying known features: {len(time_varying_known_features)}\")\n","print(f\"Time-varying unknown features: {len(time_varying_unknown_features)}\")\n","print(f\"Target variable: {target}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"A4KYs9Q_gbwg","executionInfo":{"status":"ok","timestamp":1744889322358,"user_tz":-330,"elapsed":1040,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"baff54dd-5973-4aee-abfa-ebce8d72d77e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Static features: 0\n","Time-varying known features: 41\n","Time-varying unknown features: 0\n","Target variable: Close_diff1\n"]}]},{"cell_type":"code","source":[" #11.4. Create time-based training, validation, and test splits\n","# Using chronological splits appropriate for time series forecasting\n","test_size = 0.1\n","val_size = 0.1\n","train_size = 1 - test_size - val_size\n","\n","# Calculate split points\n","n = len(df_selected)\n","train_end = int(n * train_size)\n","val_end = int(n * (train_size + val_size))\n","\n","# Split the data\n","train_data = df_selected.iloc[:train_end]\n","val_data = df_selected.iloc[train_end:val_end]\n","test_data = df_selected.iloc[val_end:]\n","\n","print(f\"Training data: {train_data.shape}\")\n","print(f\"Validation data: {val_data.shape}\")\n","print(f\"Test data: {test_data.shape}\")"],"metadata":{"id":"dhK3yS1jgkFB"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.5. Function to create sliding windows appropriate for TFT\n","def create_tft_dataset(data, lookback, horizon, target_col):\n","    \"\"\"\n","    Create sliding windows for TFT model:\n","    - X: Features with lookback window\n","    - y: Target values for forecast horizon\n","    \"\"\"\n","    X, y = [], []\n","\n","    for i in range(lookback, len(data) - horizon + 1):\n","        # Extract lookback window for features\n","        X.append(data.iloc[i-lookback:i].values)\n","\n","        # Extract forecast horizon for target\n","        y.append(data[target_col].iloc[i:i+horizon].values)\n","\n","    return np.array(X), np.array(y)"],"metadata":{"id":"5lxqPu7jgvMf"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.2. Create sliding window sequences\n","print(\"\\n11.2. Creating sliding window sequences\")\n","\n","def create_windows(data, window_size, forecast_horizon):\n","    \"\"\"Create sliding window sequences from time series data\"\"\"\n","    X, y = [], []\n","    for i in range(len(data) - window_size - forecast_horizon + 1):\n","        X.append(data.iloc[i:i+window_size].values)\n","        y.append(data.iloc[i+window_size:i+window_size+forecast_horizon].values)\n","    return np.array(X), np.array(y)\n","\n","# Ensure data is sorted by date\n","final_X_sorted = final_X.sort_index()\n","final_y_sorted = final_y.sort_index()\n","\n","# For traditional ML models, create lagged features\n","print(\"\\n11.2.1. Creating lagged features for traditional ML models\")\n","X_lagged = pd.DataFrame(index=final_X_sorted.index)\n","\n","for i in range(1, input_window_size + 1):\n","    for col in final_X_sorted.columns:\n","        X_lagged[f'{col}_lag{i}'] = final_X_sorted[col].shift(i)\n","\n","# Align X_lagged with y by dropping NaN rows\n","X_lagged = X_lagged.dropna()\n","y_aligned = final_y_sorted.loc[X_lagged.index]\n","\n","print(f\"Traditional ML dataset: X shape = {X_lagged.shape}, y shape = {y_aligned.shape}\")\n","\n","# For sequence models (RNN, LSTM), create 3D windows\n","print(\"\\n11.2.2. Creating 3D windows for sequence models\")\n","# Use only features from final_X for sequence windows\n","X_windows, y_windows = create_windows(final_X_sorted, input_window_size, forecast_horizon)\n","\n","print(f\"Sequence model dataset: X shape = {X_windows.shape}, y shape = {y_windows.shape}\")\n"],"metadata":{"id":"4qpFgDKVWxy_"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.3. Split into training and validation sets\n","print(\"\\n11.3. Splitting into training and validation sets\")\n","\n","# For traditional ML\n","train_size = int(len(X_lagged) * 0.8)\n","X_train_ml = X_lagged.iloc[:train_size]\n","X_valid_ml = X_lagged.iloc[train_size:]\n","y_train_ml = y_aligned.iloc[:train_size]\n","y_valid_ml = y_aligned.iloc[train_size:]\n","\n","print(f\"ML Training set: X shape = {X_train_ml.shape}, y shape = {y_train_ml.shape}\")\n","print(f\"ML Validation set: X shape = {X_valid_ml.shape}, y shape = {y_valid_ml.shape}\")\n","\n","# For sequence models\n","train_size_seq = int(len(X_windows) * 0.8)\n","X_train_seq = X_windows[:train_size_seq]\n","X_valid_seq = X_windows[train_size_seq:]\n","y_train_seq = y_windows[:train_size_seq]\n","y_valid_seq = y_windows[train_size_seq:]\n","\n","print(f\"Sequence Training set: X shape = {X_train_seq.shape}, y shape = {y_train_seq.shape}\")\n","print(f\"Sequence Validation set: X shape = {X_valid_seq.shape}, y shape = {y_valid_seq.shape}\")"],"metadata":{"id":"6_gPfYEqWyfw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.4. Prepare for different model types\n","print(\"\\n11.4. Preparing datasets for different model types\")\n","\n","# For traditional ML models (already prepared above)\n","print(\"Traditional ML models (Linear Regression, XGBoost, etc.):\")\n","print(f\"- X_train shape: {X_train_ml.shape}\")\n","print(f\"- y_train shape: {y_train_ml.shape}\")\n","\n","# For RNN/LSTM models (already prepared above)\n","print(\"\\nRNN/LSTM models:\")\n","print(f\"- X_train shape: {X_train_seq.shape}\")\n","print(f\"- y_train shape: {y_train_seq.shape}\")\n","\n","# For Time Series specific models like ARIMA\n","print(\"\\nARIMA/SARIMA models:\")\n","print(f\"- Training data length: {len(final_y_sorted[:train_size])}\")\n","print(f\"- Test data length: {len(final_y_sorted[train_size:])}\")\n","print(f\"- Suggested ARIMA orders: ({p_order},{d_order},{q_order})\")"],"metadata":{"id":"f9f574d9W2im"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.5. Visualize the training and validation split\n","print(\"\\n11.5. Visualizing the train/validation split\")\n","\n","plt.figure(figsize=(15, 6))\n","plt.plot(final_y_sorted.index[:train_size], final_y_sorted[:train_size], label='Training Data')\n","plt.plot(final_y_sorted.index[train_size:], final_y_sorted[train_size:], label='Validation Data', color='red')\n","plt.axvline(final_y_sorted.index[train_size], color='black', linestyle='--')\n","plt.title(f'Train/Validation Split for {selected_target}')\n","plt.legend()\n","plt.grid(True)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"sq2u8MdkW6xw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 11.6. Save the processed datasets\n","print(\"\\n11.6. Final processed datasets ready for modeling\")\n","\n","# Summary of all prepared datasets\n","print(\"\\nDatasets ready for modeling:\")\n","print(\"1. Traditional ML:\")\n","print(f\"   - X_train_ml: {X_train_ml.shape}\")\n","print(f\"   - X_valid_ml: {X_valid_ml.shape}\")\n","print(f\"   - y_train_ml: {y_train_ml.shape}\")\n","print(f\"   - y_valid_ml: {y_valid_ml.shape}\")\n","\n","print(\"\\n2. Sequence Models (RNN/LSTM):\")\n","print(f\"   - X_train_seq: {X_train_seq.shape}\")\n","print(f\"   - X_valid_seq: {X_valid_seq.shape}\")\n","print(f\"   - y_train_seq: {y_train_seq.shape}\")\n","print(f\"   - y_valid_seq: {y_valid_seq.shape}\")\n","\n","print(\"\\n3. Time Series Models (ARIMA):\")\n","print(f\"   - Training series length: {len(final_y_sorted[:train_size])}\")\n","print(f\"   - Validation series length: {len(final_y_sorted[train_size:])}\")\n","\n","print(\"\\nAll preprocessing steps completed successfully!\")"],"metadata":{"id":"h-hc6yrcW7Un"},"execution_count":null,"outputs":[]}]}
\ No newline at end of file
diff --git a/Cypto_data_processing-v3.ipynb b/Cypto_data_processing-v3.ipynb
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+++ b/Cypto_data_processing-v3.ipynb
@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyNjgc7sKLXTIpdFnl3Z8qBn"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"XF10oA9cpthp"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","from sklearn.preprocessing import MinMaxScaler\n","import joblib\n","from datetime import datetime, timedelta\n","import pytz\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from scipy import stats"]},{"cell_type":"code","source":["# Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')\n","\n","# Set timezone for date handling\n","# ist = pytz.timezone('Asia/Kolkata')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-cWMJ8DipucR","executionInfo":{"status":"ok","timestamp":1745468942425,"user_tz":-330,"elapsed":25562,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3ecfeb93-4d78-44fb-9a6f-f5e80d802c10"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"markdown","source":["# **DATA Loading and Initial Inspection**"],"metadata":{"id":"aszLvv0ntsEG"}},{"cell_type":"code","source":["# Load dataset\n","df = pd.read_csv('/content/drive/MyDrive/Crypto-data-v3/Solana_Price_data.csv')\n","\n","# Convert to datetime with correct timezone\n","# df['date'] = pd.to_datetime(df['date'], dayfirst=True).dt.tz_localize(ist)\n","df['date'] = pd.to_datetime(df['date'], dayfirst=True)\n","\n","# Sort chronologically\n","df = df.sort_values('date').reset_index(drop=True)\n","df['Volume'] = df['Volume'].astype(float)\n","\n"],"metadata":{"id":"pZxoWVGmpv5F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","# Save raw version\n","df.to_csv('/content/drive/MyDrive/Crypto-data-v3/1_raw_data.csv', index=False)"],"metadata":{"id":"C2JT9PlBpx6F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 1.2 Verify data types\n","print(\"Data Types:\")\n","print(df.dtypes)\n","print(\"\\n\")"],"metadata":{"id":"y4NFCqTJpzAV","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469591820,"user_tz":-330,"elapsed":106,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"13e81006-068d-4531-b25d-52233ecb518b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Data Types:\n","date      datetime64[ns]\n","Open             float64\n","High             float64\n","Low              float64\n","Close            float64\n","Volume           float64\n","dtype: object\n","\n","\n"]}]},{"cell_type":"code","source":["print(\"Time Period Coverage:\")\n","print(f\"Start Date: {df['date'].min()}\")\n","print(f\"End Date: {df['date'].max()}\")\n","print(f\"Total Days: {df.shape[0]}\")\n","print(f\"Expected Days: {pd.to_datetime(df['date'].max()) - pd.to_datetime(df['date'].min())}\")\n","print(\"\\n\")"],"metadata":{"id":"OhHTL2JBp0YN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469595511,"user_tz":-330,"elapsed":72,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"7c3d63ed-9979-4286-a780-eccb7ab4b3c8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Time Period Coverage:\n","Start Date: 2021-01-01 00:00:00\n","End Date: 2025-04-15 00:00:00\n","Total Days: 1566\n","Expected Days: 1565 days 00:00:00\n","\n","\n"]}]},{"cell_type":"code","source":["# 1.4 Examine basic statistics\n","print(\"Basic Statistics:\")\n","print(df.describe())"],"metadata":{"id":"jvixW8aZp14F","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469598659,"user_tz":-330,"elapsed":90,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"dc0001d7-85de-434b-c8fa-510e60ecaa19"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Basic Statistics:\n","                                date         Open         High          Low  \\\n","count                           1566  1566.000000  1566.000000  1566.000000   \n","mean   2023-02-22 11:59:59.999999744    86.679205    90.334138    82.992892   \n","min              2021-01-01 00:00:00     1.510000     1.865000     1.495000   \n","25%              2022-01-27 06:00:00    23.970000    24.932500    22.935000   \n","50%              2023-02-22 12:00:00    56.845000    59.470000    53.790000   \n","75%              2024-03-19 18:00:00   144.467500   149.702500   139.587500   \n","max              2025-04-15 00:00:00   261.970000   295.830000   252.690000   \n","std                              NaN    69.515905    72.111304    66.729900   \n","\n","             Close        Volume  \n","count  1566.000000  1.566000e+03  \n","mean     86.759976  2.078157e+09  \n","min       1.799000  2.572255e+07  \n","25%      23.980000  5.006599e+08  \n","50%      56.940000  1.479582e+09  \n","75%     144.467500  2.808882e+09  \n","max     261.970000  3.317296e+10  \n","std      69.490742  2.337443e+09  \n"]}]},{"cell_type":"code","source":["print(\"\\nData Sample:\")\n","print(df.head())"],"metadata":{"id":"SN_kIPlSp3fF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469602424,"user_tz":-330,"elapsed":65,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"709efebd-8a70-451d-e634-61e8fa1be34c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Data Sample:\n","        date   Open   High    Low  Close      Volume\n","0 2021-01-01  1.510  1.865  1.495  1.847  25722549.0\n","1 2021-01-02  1.847  2.012  1.752  1.799  31671064.0\n","2 2021-01-03  1.799  2.808  2.007  2.185  55073422.0\n","3 2021-01-04  2.185  2.573  2.066  2.491  59955405.0\n","4 2021-01-05  2.491  2.634  2.145  2.158  50555207.0\n"]}]},{"cell_type":"code","source":["# 1.6 Check for any initial NULL values\n","print(\"\\nMissing Values:\")\n","print(df.isnull().sum())"],"metadata":{"id":"5w2ewYIQp5K9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469604496,"user_tz":-330,"elapsed":17,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"55092e96-b016-42a8-a68b-4d19f13d860b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Missing Values:\n","date      0\n","Open      0\n","High      0\n","Low       0\n","Close     0\n","Volume    0\n","dtype: int64\n"]}]},{"cell_type":"code","source":["\n","\n","# 1.7 Visualize the closing price over time to get an initial understanding\n","plt.figure(figsize=(14, 7))\n","plt.plot(df['date'], df['Close'])\n","plt.title('Solana Closing Price Over Time')\n","plt.xlabel('Date')\n","plt.ylabel('Price (USD)')\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"s9Tkw4E9p6u1","colab":{"base_uri":"https://localhost:8080/","height":449},"executionInfo":{"status":"ok","timestamp":1745469607884,"user_tz":-330,"elapsed":1115,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"64327cc2-af26-4439-bfc5-42c49dc54f52"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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1.8 Check the distribution of closing prices\n","plt.figure(figsize=(10, 6))\n","sns.histplot(df['Close'], kde=True)\n","plt.title('Distribution of Solana Closing Prices')\n","plt.xlabel('Closing Price (USD)')\n","plt.show()"],"metadata":{"id":"Z6tw0Htqp78V","colab":{"base_uri":"https://localhost:8080/","height":564},"executionInfo":{"status":"ok","timestamp":1745469613413,"user_tz":-330,"elapsed":536,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"8824f344-5367-40cb-f328-67e833bf53f3"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# **DATA Analysis and Treatment**"],"metadata":{"id":"qfbEdDkRtlWe"}},{"cell_type":"code","source":["# 2.1. Set the datetime column as the index\n","df.set_index('date', inplace=True)"],"metadata":{"id":"eQ5_Er8fp9dV"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.2. Verify the index is datetime\n","print(\"Index Type:\", type(df.index))\n","# Get information about the DatetimeIndex\n","print(\"Index Info:\")\n","print(df.index)  # Print the index itself\n","print(\"Index Data Type:\", df.index.dtype)  # Get data type of the index\n","print(\"Index Frequency:\", df.index.freq)  # Check if index has a frequency\n","# Check if index is monotonic using alternative method for older Pandas versions\n","print(\"Index is Monotonic:\", df.index.is_monotonic_increasing or df.index.is_monotonic_decreasing)\n","print(\"Index is Unique:\", df.index.is_unique)  # Check if index values are unique"],"metadata":{"id":"964KTpb2p-5F","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469619086,"user_tz":-330,"elapsed":158,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"16aa8d35-7e49-436e-b3b9-fd7e78128a57"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Index Type: <class 'pandas.core.indexes.datetimes.DatetimeIndex'>\n","Index Info:\n","DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n","               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n","               '2021-01-09', '2021-01-10',\n","               ...\n","               '2025-04-06', '2025-04-07', '2025-04-08', '2025-04-09',\n","               '2025-04-10', '2025-04-11', '2025-04-12', '2025-04-13',\n","               '2025-04-14', '2025-04-15'],\n","              dtype='datetime64[ns]', name='date', length=1566, freq=None)\n","Index Data Type: datetime64[ns]\n","Index Frequency: None\n","Index is Monotonic: True\n","Index is Unique: True\n"]}]},{"cell_type":"code","source":["# 2.3. Sort data chronologically to ensure proper time order\n","df = df.sort_index()"],"metadata":{"id":"znigsG7MqAi9"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.4. Check the frequency of the data\n","# For daily data we expect a frequency of 'D' or business day 'B'\n","print(\"\\nIndex Frequency:\")\n","if df.index.inferred_freq is not None:\n","    print(f\"Inferred Frequency: {df.index.inferred_freq}\")\n","else:\n","    print(\"No regular frequency detected. Checking for missing dates...\")"],"metadata":{"id":"reB0u0hxqB5O","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469622285,"user_tz":-330,"elapsed":71,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"76efa680-518a-4b4f-adf0-b80dfafbc63b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Index Frequency:\n","Inferred Frequency: D\n"]}]},{"cell_type":"code","source":["full_date_range = pd.date_range(start=df.index.min(), end=df.index.max(), freq='D')\n","missing_dates = full_date_range.difference(df.index)\n","\n","if len(missing_dates) > 0:\n","    print(f\"Missing {len(missing_dates)} dates in the time series.\")\n","    print(\"First few missing dates:\")\n","    print(missing_dates[:5])\n","else:\n","    print(\"No missing dates detected. The time series is continuous.\")"],"metadata":{"id":"wgK8wI7vqDNt","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469624306,"user_tz":-330,"elapsed":20,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a53573e3-e0d7-455c-d258-5489c0a790c5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["No missing dates detected. The time series is continuous.\n"]}]},{"cell_type":"code","source":["# 2.5. Check for duplicate dates\n","duplicates = df.index.duplicated()\n","if duplicates.any():\n","    print(f\"\\nFound {duplicates.sum()} duplicate dates in the index\")\n","    print(\"First few duplicates:\")\n","    print(df[df.index.duplicated(keep=False)].head())\n","else:\n","    print(\"\\nNo duplicate dates found in the index\")"],"metadata":{"id":"0mZZOjWIqEhF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469625752,"user_tz":-330,"elapsed":24,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"4e96994e-f84e-4702-bf92-182bab35a6b9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","No duplicate dates found in the index\n"]}]},{"cell_type":"code","source":["# 2.6. Convert timezone if needed (optional - if you want UTC or a specific timezone)\n","# If you want to standardize to UTC:\n","print(\"\\nCurrent timezone:\", df.index.tz)\n","df.index = df.index.tz_localize('UTC')\n","print(\"New timezone:\", df.index.tz)"],"metadata":{"id":"ZPY9TFTUqF59","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469628501,"user_tz":-330,"elapsed":15,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"7829ff9d-a1fe-4514-ed9d-4a66fb4fd615"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Current timezone: None\n","New timezone: UTC\n"]}]},{"cell_type":"code","source":["print(\"Current index (first few entries):\")\n","print(df.index[:5])"],"metadata":{"id":"G9DRvsSyqHYF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469632418,"user_tz":-330,"elapsed":41,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f5f0ce22-7d71-4f86-e9de-4dedf806ef42"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Current index (first few entries):\n","DatetimeIndex(['2021-01-01 00:00:00+00:00', '2021-01-02 00:00:00+00:00',\n","               '2021-01-03 00:00:00+00:00', '2021-01-04 00:00:00+00:00',\n","               '2021-01-05 00:00:00+00:00'],\n","              dtype='datetime64[ns, UTC]', name='date', freq=None)\n"]}]},{"cell_type":"code","source":["df.columns = df.columns.str.strip()\n"],"metadata":{"id":"d-P9mU2ZqI1F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 2.7. Display the updated dataframe\n","print(\"\\nUpdated DataFrame with datetime index:\")\n","print(df.head())"],"metadata":{"id":"m_U28i_3qKT9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469638337,"user_tz":-330,"elapsed":25,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e0e3f2fc-d0c0-45d2-91cd-ed5ada932557"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Updated DataFrame with datetime index:\n","                            Open   High    Low  Close      Volume\n","date                                                             \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0\n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0\n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0\n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0\n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0\n"]}]},{"cell_type":"code","source":["# 2.8. Visualize the closing price with proper datetime index\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(14, 7))\n","plt.plot(df.index, df['Close'])\n","plt.title('Solana Closing Price Over Time')\n","plt.xlabel('Date')\n","plt.ylabel('Price (USD)')\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"QQXga2pZqLhd","colab":{"base_uri":"https://localhost:8080/","height":449},"executionInfo":{"status":"ok","timestamp":1745469641208,"user_tz":-330,"elapsed":486,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"32d796a6-0862-4e7b-89b8-274f4c53ba28"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x700 with 1 Axes>"],"image/png":"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index=True)\n","# df_new = pd.read_csv('/content/drive/MyDrive/Crypto-data-v3/step2_handling-time-index_data.csv')"],"metadata":{"id":"_IgJnocBqNY1"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(\"\\nCurrent timezone:\", df.index.tz)\n","df.head()"],"metadata":{"id":"kNQgLZ6RqO4P","colab":{"base_uri":"https://localhost:8080/","height":272},"executionInfo":{"status":"ok","timestamp":1745469645343,"user_tz":-330,"elapsed":55,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e6d25504-ed26-414b-c010-c11f1ef35eee"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Current timezone: UTC\n"]},{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume\n","date                                                             \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0\n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0\n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0\n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0\n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0"],"text/html":["\n","  <div id=\"df-55e12e1a-535d-469b-b666-4487f2897e94\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-01-01 00:00:00+00:00</th>\n","      <td>1.510</td>\n","      <td>1.865</td>\n","      <td>1.495</td>\n","      <td>1.847</td>\n","      <td>25722549.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-02 00:00:00+00:00</th>\n","      <td>1.847</td>\n","      <td>2.012</td>\n","      <td>1.752</td>\n","      <td>1.799</td>\n","      <td>31671064.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-03 00:00:00+00:00</th>\n","      <td>1.799</td>\n","      <td>2.808</td>\n","      <td>2.007</td>\n","      <td>2.185</td>\n","      <td>55073422.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-55e12e1a-535d-469b-b666-4487f2897e94')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","   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33.14,\n          182.52\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 72.11130381720594,\n        \"min\": 1.865,\n        \"max\": 295.83,\n        \"num_unique_values\": 1470,\n        \"samples\": [\n          101.95,\n          36.95,\n          145.96\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 66.7299000905329,\n        \"min\": 1.495,\n        \"max\": 252.69,\n        \"num_unique_values\": 1459,\n        \"samples\": [\n          240.93,\n          14.43,\n          86.88\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 69.49074201228974,\n        \"min\": 1.799,\n        \"max\": 261.97,\n        \"num_unique_values\": 1465,\n        \"samples\": [\n          58.83,\n          35.53,\n          152.43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2337443054.58059,\n        \"min\": 25722549.0,\n        \"max\": 33172955667.0,\n        \"num_unique_values\": 1566,\n        \"samples\": [\n          1430666510.0,\n          2428105040.0,\n          3305410077.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":24}]},{"cell_type":"markdown","source":["# **DATA Engineering**"],"metadata":{"id":"j9dJfFHAtcze"}},{"cell_type":"code","source":["# df = pd.read_csv('/content/drive/MyDrive/Crypto-data-v3/step2_handling-time-index_data.csv')"],"metadata":{"id":"dngoKRimFNwP"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!pip install ta"],"metadata":{"id":"Pgsutvw7skbn","colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"executionInfo":{"status":"ok","timestamp":1745469654913,"user_tz":-330,"elapsed":5089,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"55cd6379-2644-4410-b33d-60996ff011d8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting ta\n","  Downloading ta-0.11.0.tar.gz (25 kB)\n","  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from ta) (2.0.2)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from ta) (2.2.2)\n","Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2025.2)\n","Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas->ta) (2025.2)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas->ta) (1.17.0)\n","Building wheels for collected packages: ta\n","  Building wheel for ta (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for ta: filename=ta-0.11.0-py3-none-any.whl size=29412 sha256=e030cfd0e360bafbac199d7d7df23320c05021404c06b527d59554d94289bf09\n","  Stored in directory: /root/.cache/pip/wheels/a1/d7/29/7781cc5eb9a3659d032d7d15bdd0f49d07d2b24fec29f44bc4\n","Successfully built ta\n","Installing collected packages: ta\n","Successfully installed ta-0.11.0\n"]}]},{"cell_type":"code","source":["from ta import add_all_ta_features\n","from ta.utils import dropna\n","# import talib"],"metadata":{"id":"76jSFEU6smju"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df['Returns'] = df['Close'].pct_change()\n","df['Returns_Abs'] = np.abs(df['Returns'])\n","df['Volatility_14d'] = df['Returns'].rolling(window=14).std().shift(1)\n","df['Volume_Ratio'] = df['Volume'] / df['Volume'].shift(1).rolling(window=20).mean()\n","df['Extreme_Move'] = (np.abs(df['Returns'].shift(1)) > 0.10).astype(int)"],"metadata":{"id":"SrrjEHuiGBci"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df.head()\n","print(df.dtypes)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"O1u6UvEcIt-w","executionInfo":{"status":"ok","timestamp":1745469661891,"user_tz":-330,"elapsed":47,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ec128ffe-89a5-49f5-9fb1-146fe53adcaa"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Open              float64\n","High              float64\n","Low               float64\n","Close             float64\n","Volume            float64\n","Returns           float64\n","Returns_Abs       float64\n","Volatility_14d    float64\n","Volume_Ratio      float64\n","Extreme_Move        int64\n","dtype: object\n"]}]},{"cell_type":"code","source":["# 5.1. Create lagged features\n","print(\"Creating lagged features...\")\n","# Create lagged price features\n","for lag in [1, 2, 3, 5, 7, 14, 21]:\n","    df[f'Close_Lag_{lag}'] = df['Close'].shift(lag)\n","    df[f'Volume_Lag_{lag}'] = df['Volume'].shift(lag)\n","    df[f'Returns_Lag_{lag}'] = df['Returns'].shift(lag)\n","\n","\n","\n"],"metadata":{"id":"IK3elRONsoAW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469678082,"user_tz":-330,"elapsed":27,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a1f47c3f-a3b4-43d9-ea1f-c4b0b75635ff"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating lagged features...\n"]}]},{"cell_type":"code","source":["# 5.2. Calculate moving averages\n","print(\"Calculating moving averages...\")\n","for window in [5, 10, 20, 50, 100, 200]:\n","    # Simple Moving Averages\n","    df[f'SMA_{window}'] = df['Close'].rolling(window=window).mean()\n","\n","    # Exponential Moving Averages\n","    df[f'EMA_{window}'] = df['Close'].ewm(span=window, adjust=False).mean()\n","\n","    # Volume Moving Averages\n","    df[f'Volume_SMA_{window}'] = df['Volume'].rolling(window=window).mean()"],"metadata":{"id":"_XXPBoiUspNO","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469681442,"user_tz":-330,"elapsed":65,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"c2d0095c-a87f-4702-ed8d-60d1e090db7c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating moving averages...\n"]}]},{"cell_type":"code","source":["# 5.3. Calculate price momentum indicators\n","print(\"Calculating momentum indicators...\")\n","# Rate of Change (ROC)\n","for period in [5, 10, 20]:\n","    df[f'ROC_{period}'] = df['Close'].pct_change(periods=period) * 100\n","\n","# Moving Average Convergence Divergence (MACD)\n","df['MACD_Line'] = df['Close'].ewm(span=12, adjust=False).mean() - df['Close'].ewm(span=26, adjust=False).mean()\n","df['MACD_Signal'] = df['MACD_Line'].ewm(span=9, adjust=False).mean()\n","df['MACD_Hist'] = df['MACD_Line'] - df['MACD_Signal']\n","\n","# Relative Strength Index (RSI)\n","delta = df['Close'].diff()\n","gain = delta.where(delta > 0, 0)\n","loss = -delta.where(delta < 0, 0)\n","\n","avg_gain = gain.rolling(window=14).mean()\n","avg_loss = loss.rolling(window=14).mean()\n","\n","rs = avg_gain / avg_loss\n","df['RSI_14'] = 100 - (100 / (1 + rs))\n","\n","# Williams %R\n","highest_high = df['High'].rolling(window=14).max()\n","lowest_low = df['Low'].rolling(window=14).min()\n","df['Williams_%R'] = ((highest_high - df['Close']) / (highest_high - lowest_low)) * -100"],"metadata":{"id":"LhKRGsvisqbW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469683675,"user_tz":-330,"elapsed":72,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"786a0bae-87fc-47eb-a606-739b6d1fb4a9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating momentum indicators...\n"]}]},{"cell_type":"code","source":["# 5.4. Calculate volatility indicators\n","print(\"Calculating volatility indicators...\")\n","# Bollinger Bands\n","for window in [20]:\n","    rolling_mean = df['Close'].rolling(window=window).mean()\n","    rolling_std = df['Close'].rolling(window=window).std()\n","\n","    df[f'BB_Upper_{window}'] = rolling_mean + (rolling_std * 2)\n","    df[f'BB_Middle_{window}'] = rolling_mean\n","    df[f'BB_Lower_{window}'] = rolling_mean - (rolling_std * 2)\n","    df[f'BB_Width_{window}'] = (df[f'BB_Upper_{window}'] - df[f'BB_Lower_{window}']) / df[f'BB_Middle_{window}']\n","\n","# Average True Range (ATR)\n","high_low = df['High'] - df['Low']\n","high_close = np.abs(df['High'] - df['Close'].shift())\n","low_close = np.abs(df['Low'] - df['Close'].shift())\n","\n","true_range = pd.concat([high_low, high_close, low_close], axis=1).max(axis=1)\n","df['ATR_14'] = true_range.rolling(window=14).mean()"],"metadata":{"id":"cC0CgdltsruG","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469686995,"user_tz":-330,"elapsed":58,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f8b8e588-bece-4e6c-e98e-cd3952c7d385"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating volatility indicators...\n"]}]},{"cell_type":"code","source":["# 5.5. Create cyclical features from date\n","print(\"Creating cyclical features...\")\n","# Extract datetime components\n","df['Day_of_Week'] = df.index.dayofweek\n","df['Month'] = df.index.month\n","df['Quarter'] = df.index.quarter\n","df['Year'] = df.index.year\n","df['Day_of_Month'] = df.index.day\n","df['Week_of_Year'] = df.index.isocalendar().week\n","\n","# Convert cyclical features to sine and cosine components to preserve cyclical nature\n","for col in ['Day_of_Week', 'Month', 'Quarter']:\n","    # Sine and cosine transformations\n","    max_val = df[col].max()\n","    df[f'{col}_sin'] = np.sin(2 * np.pi * df[col] / max_val)\n","    df[f'{col}_cos'] = np.cos(2 * np.pi * df[col] / max_val)"],"metadata":{"id":"6M4IdYEKst_-","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469690672,"user_tz":-330,"elapsed":51,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"77b0fbe3-c2e2-49c0-ef14-34c9718beac7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating cyclical features...\n"]}]},{"cell_type":"code","source":["# 5.6. Create interaction features\n","print(\"Creating interaction features...\")\n","# Price and volume interactions\n","df['Price_Volume_Ratio'] = df['Close'] / (df['Volume'] + 1)  # Adding 1 to avoid division by zero\n","df['Price_Volume_SMA10_Ratio'] = df['SMA_10'] / (df['Volume_SMA_10'] + 1)\n","\n","# Volatility and price interactions\n","df['ATR_Close_Ratio'] = df['ATR_14'] / df['Close']\n"],"metadata":{"id":"0mX-6RitsvYY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469692995,"user_tz":-330,"elapsed":53,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a0f56d74-3bfa-43c0-a0ba-ace4d1b0112d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating interaction features...\n"]}]},{"cell_type":"code","source":["# 5.7. Create binary indicators\n","print(\"Creating binary indicators...\")\n","# Golden Cross / Death Cross (50-day MA crossing 200-day MA)\n","df['SMA_50_Above_SMA_200'] = (df['SMA_50'] > df['SMA_200']).astype(int)\n","df['SMA_Golden_Cross'] = ((df['SMA_50'] > df['SMA_200']) & (df['SMA_50'].shift() <= df['SMA_200'].shift())).astype(int)\n","df['SMA_Death_Cross'] = ((df['SMA_50'] < df['SMA_200']) & (df['SMA_50'].shift() >= df['SMA_200'].shift())).astype(int)\n","\n","# RSI Overbought/Oversold\n","df['RSI_Overbought'] = (df['RSI_14'] > 70).astype(int)\n","df['RSI_Oversold'] = (df['RSI_14'] < 30).astype(int)\n","\n","# Price above/below moving averages\n","df['Price_Above_SMA_200'] = (df['Close'] > df['SMA_200']).astype(int)\n","df['Price_Above_SMA_50'] = (df['Close'] > df['SMA_50']).astype(int)\n","\n","# Higher highs and lower lows (trend strength)\n","df['Higher_High'] = (df['High'] > df['High'].shift()).astype(int)\n","df['Lower_Low'] = (df['Low'] < df['Low'].shift()).astype(int)\n"],"metadata":{"id":"G9N6Iu5tswgO","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469695374,"user_tz":-330,"elapsed":63,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"b5db56ad-a5af-4229-c86a-b4ddc91c2021"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating binary indicators...\n"]}]},{"cell_type":"code","source":["# 5.8. Calculate support and resistance levels\n","print(\"Calculating support and resistance levels...\")\n","# Simple support/resistance based on recent highs and lows\n","df['Support_Level'] = df['Low'].rolling(window=20).min()\n","df['Resistance_Level'] = df['High'].rolling(window=20).max()\n","df['Price_to_Support_Ratio'] = df['Close'] / df['Support_Level']\n","df['Price_to_Resistance_Ratio'] = df['Close'] / df['Resistance_Level']"],"metadata":{"id":"g7n7V4eFsx3Q","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469698361,"user_tz":-330,"elapsed":34,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e96d9151-3359-4155-df2f-93f79037d0b8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Calculating support and resistance levels...\n"]}]},{"cell_type":"code","source":["# 5.9. Add market structure features\n","print(\"Adding market structure features...\")\n","# Calculate if price is in range or trending\n","df['20d_High'] = df['High'].rolling(window=20).max()\n","df['20d_Low'] = df['Low'].rolling(window=20).min()\n","df['Price_Range_Width'] = (df['20d_High'] - df['20d_Low']) / df['Close']\n","df['In_Range_Market'] = ((df['Price_Range_Width'] < 0.25) & (df['Volatility_14d'] < df['Volatility_14d'].rolling(window=30).mean())).astype(int)\n","\n","# Calculate specific crypto-related features\n","# Count days since ATH (All-Time High)\n","df['ATH'] = df['Close'].cummax()\n","df['Days_Since_ATH'] = df['Close'].cummax().ne(df['Close'].cummax().shift()).cumsum()\n","df['ATH_Drawdown'] = (df['Close'] / df['ATH'] - 1) * 100  # Negative percentage from ATH"],"metadata":{"id":"o8jCDPVHszMW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469703621,"user_tz":-330,"elapsed":17,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5ce00630-eecd-428b-b717-6966142bd92e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Adding market structure features...\n"]}]},{"cell_type":"code","source":["constant_features = [col for col in df.columns if df[col].nunique() <= 1]\n","if constant_features:\n","    print(f\"Found {len(constant_features)} constant features (zero variance). These will be removed:\")\n","    print(constant_features[:5], \"...\" if len(constant_features) > 5 else \"\")\n","\n","    # Remove constant features\n","    df.drop(columns=constant_features)\n","    print(f\"Shapes after removing constant features - dataset: {df.shape}\")\n","else:\n","    print(\"No constant features found.\")\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZLK4U5E7GlII","executionInfo":{"status":"ok","timestamp":1745469707935,"user_tz":-330,"elapsed":15,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f3dff4b1-3ffc-460f-a60a-964c514e5c4c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["No constant features found.\n"]}]},{"cell_type":"code","source":["# 5.10. Add log-transformed features (especially useful for volume)\n","print(\"Adding log-transformed features...\")\n","df['Log_Close'] = np.log(df['Close'])\n","df['Log_Volume'] = np.log(df['Volume'] + 1)  # Adding 1 to avoid log(0)"],"metadata":{"id":"oq6_wxOhs0du","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469710907,"user_tz":-330,"elapsed":63,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"118be2df-e6bc-4d52-c28b-19f485bd7eaf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Adding log-transformed features...\n"]}]},{"cell_type":"code","source":["# 5.11. Visualize key features\n","print(\"Visualizing key features...\")\n","# Select a subset of important features for plotting\n","key_features = ['Close', 'SMA_20', 'SMA_50', 'SMA_200', 'RSI_14', 'ATR_14', 'MACD_Line']\n","last_200_days = df[key_features].tail(200)\n","\n","# Create the plots\n","fig, axes = plt.subplots(4, 1, figsize=(15, 20), sharex=True)\n","\n","# Plot 1: Price and Moving Averages\n","axes[0].plot(last_200_days.index, last_200_days['Close'], label='Close')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_20'], label='SMA 20')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_50'], label='SMA 50')\n","axes[0].plot(last_200_days.index, last_200_days['SMA_200'], label='SMA 200')\n","axes[0].set_title('Solana Price with Moving Averages (Last 200 Days)')\n","axes[0].legend()\n","axes[0].grid(True)\n","\n","# Plot 2: RSI\n","axes[1].plot(last_200_days.index, last_200_days['RSI_14'], label='RSI (14)')\n","axes[1].axhline(y=70, color='r', linestyle='-', alpha=0.3)\n","axes[1].axhline(y=30, color='g', linestyle='-', alpha=0.3)\n","axes[1].set_title('Relative Strength Index (RSI)')\n","axes[1].set_ylim(0, 100)\n","axes[1].legend()\n","axes[1].grid(True)\n","\n","# Plot 3: ATR\n","axes[2].plot(last_200_days.index, last_200_days['ATR_14'], label='ATR (14)')\n","axes[2].set_title('Average True Range (ATR)')\n","axes[2].legend()\n","axes[2].grid(True)\n","\n","# Plot 4: MACD\n","axes[3].plot(last_200_days.index, last_200_days['MACD_Line'], label='MACD Line')\n","axes[3].axhline(y=0, color='k', linestyle='-', alpha=0.3)\n","axes[3].set_title('Moving Average Convergence Divergence (MACD)')\n","axes[3].legend()\n","axes[3].grid(True)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"ccTb3x1qs3C2","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1745469725695,"user_tz":-330,"elapsed":1643,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"314c4b01-5fd8-45cc-f210-bf3d4af26205"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Visualizing key features...\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x2000 with 4 Axes>"],"image/png":"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5.12. Print feature summary\n","print(\"\\nFeature Engineering Summary:\")\n","print(f\"Original features: 5 (Open, High, Low, Close, Volume)\")\n","print(f\"Engineered features: {df.shape[1] - 5}\")\n","print(f\"Total features: {df.shape[1]}\")\n","\n","# Group features by category for better understanding\n","lag_features = [col for col in df.columns if 'Lag' in col]\n","ma_features = [col for col in df.columns if 'SMA_' in col or 'EMA_' in col]\n","momentum_features = [col for col in df.columns if any(x in col for x in ['RSI', 'MACD', 'ROC', 'Williams'])]\n","volatility_features = [col for col in df.columns if any(x in col for x in ['ATR', 'BB_', 'Volatility'])]\n","cyclical_features = [col for col in df.columns if any(x in col for x in ['Day_of', 'Month', 'Quarter', 'Year', 'Week_of', '_sin', '_cos'])]\n","binary_features = [col for col in df.columns if any(x in col for x in ['Above', 'Cross', 'Overbought', 'Oversold', 'Higher', 'Lower'])]\n","\n","print(f\"\\nLagged features: {len(lag_features)}\")\n","print(f\"Moving average features: {len(ma_features)}\")\n","print(f\"Momentum features: {len(momentum_features)}\")\n","print(f\"Volatility features: {len(volatility_features)}\")\n","print(f\"Cyclical features: {len(cyclical_features)}\")\n","print(f\"Binary/indicator features: {len(binary_features)}\")"],"metadata":{"id":"r8g09YWus5Ce","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469731194,"user_tz":-330,"elapsed":56,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"4f766c22-86a7-4f92-f6fb-782c63e6eb46"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Feature Engineering Summary:\n","Original features: 5 (Open, High, Low, Close, Volume)\n","Engineered features: 94\n","Total features: 99\n","\n","Lagged features: 21\n","Moving average features: 23\n","Momentum features: 10\n","Volatility features: 7\n","Cyclical features: 12\n","Binary/indicator features: 10\n"]}]},{"cell_type":"code","source":["# 5.13. Check for any issues in the engineered features\n","print(\"\\nChecking for NaN values in engineered features:\")\n","nan_counts = df.isna().sum()\n","features_with_nans = nan_counts[nan_counts > 0]\n","print(features_with_nans)\n","\n","print(\"\\nNote: NaN values at the beginning of time series are expected due to calculation methods\")\n","print(\"requiring historical data (e.g., 200-day moving averages need 200 days of data).\")\n"],"metadata":{"id":"Ep69H_Aps7CG","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469736308,"user_tz":-330,"elapsed":74,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"575046d5-3757-41ff-8f34-8f2990239174"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Checking for NaN values in engineered features:\n","Returns                        1\n","Returns_Abs                    1\n","Volatility_14d                15\n","Volume_Ratio                  20\n","Close_Lag_1                    1\n","Volume_Lag_1                   1\n","Returns_Lag_1                  2\n","Close_Lag_2                    2\n","Volume_Lag_2                   2\n","Returns_Lag_2                  3\n","Close_Lag_3                    3\n","Volume_Lag_3                   3\n","Returns_Lag_3                  4\n","Close_Lag_5                    5\n","Volume_Lag_5                   5\n","Returns_Lag_5                  6\n","Close_Lag_7                    7\n","Volume_Lag_7                   7\n","Returns_Lag_7                  8\n","Close_Lag_14                  14\n","Volume_Lag_14                 14\n","Returns_Lag_14                15\n","Close_Lag_21                  21\n","Volume_Lag_21                 21\n","Returns_Lag_21                22\n","SMA_5                          4\n","Volume_SMA_5                   4\n","SMA_10                         9\n","Volume_SMA_10                  9\n","SMA_20                        19\n","Volume_SMA_20                 19\n","SMA_50                        49\n","Volume_SMA_50                 49\n","SMA_100                       99\n","Volume_SMA_100                99\n","SMA_200                      199\n","Volume_SMA_200               199\n","ROC_5                          5\n","ROC_10                        10\n","ROC_20                        20\n","RSI_14                        13\n","Williams_%R                   13\n","BB_Upper_20                   19\n","BB_Middle_20                  19\n","BB_Lower_20                   19\n","BB_Width_20                   19\n","ATR_14                        13\n","Price_Volume_SMA10_Ratio       9\n","ATR_Close_Ratio               13\n","Support_Level                 19\n","Resistance_Level              19\n","Price_to_Support_Ratio        19\n","Price_to_Resistance_Ratio     19\n","20d_High                      19\n","20d_Low                       19\n","Price_Range_Width             19\n","dtype: int64\n","\n","Note: NaN values at the beginning of time series are expected due to calculation methods\n","requiring historical data (e.g., 200-day moving averages need 200 days of data).\n"]}]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":373},"id":"-rvMmVHGJKoQ","executionInfo":{"status":"ok","timestamp":1745469739842,"user_tz":-330,"elapsed":57,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"96eedd95-a965-4050-b40f-dead1c32ccf4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low  Close      Volume   Returns  \\\n","date                                                                          \n","2021-01-01 00:00:00+00:00  1.510  1.865  1.495  1.847  25722549.0       NaN   \n","2021-01-02 00:00:00+00:00  1.847  2.012  1.752  1.799  31671064.0 -0.025988   \n","2021-01-03 00:00:00+00:00  1.799  2.808  2.007  2.185  55073422.0  0.214564   \n","2021-01-04 00:00:00+00:00  2.185  2.573  2.066  2.491  59955405.0  0.140046   \n","2021-01-05 00:00:00+00:00  2.491  2.634  2.145  2.158  50555207.0 -0.133681   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2021-01-01 00:00:00+00:00          NaN             NaN           NaN   \n","2021-01-02 00:00:00+00:00     0.025988             NaN           NaN   \n","2021-01-03 00:00:00+00:00     0.214564             NaN           NaN   \n","2021-01-04 00:00:00+00:00     0.140046             NaN           NaN   \n","2021-01-05 00:00:00+00:00     0.133681             NaN           NaN   \n","\n","                           Extreme_Move  ...  Price_to_Resistance_Ratio  \\\n","date                                     ...                              \n","2021-01-01 00:00:00+00:00             0  ...                        NaN   \n","2021-01-02 00:00:00+00:00             0  ...                        NaN   \n","2021-01-03 00:00:00+00:00             0  ...                        NaN   \n","2021-01-04 00:00:00+00:00             1  ...                        NaN   \n","2021-01-05 00:00:00+00:00             1  ...                        NaN   \n","\n","                           20d_High  20d_Low  Price_Range_Width  \\\n","date                                                              \n","2021-01-01 00:00:00+00:00       NaN      NaN                NaN   \n","2021-01-02 00:00:00+00:00       NaN      NaN                NaN   \n","2021-01-03 00:00:00+00:00       NaN      NaN                NaN   \n","2021-01-04 00:00:00+00:00       NaN      NaN                NaN   \n","2021-01-05 00:00:00+00:00       NaN      NaN                NaN   \n","\n","                           In_Range_Market    ATH  Days_Since_ATH  \\\n","date                                                                \n","2021-01-01 00:00:00+00:00                0  1.847               1   \n","2021-01-02 00:00:00+00:00                0  1.847               1   \n","2021-01-03 00:00:00+00:00                0  2.185               2   \n","2021-01-04 00:00:00+00:00                0  2.491               3   \n","2021-01-05 00:00:00+00:00                0  2.491               3   \n","\n","                           ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                            \n","2021-01-01 00:00:00+00:00      0.000000   0.613563   17.062879  \n","2021-01-02 00:00:00+00:00     -2.598809   0.587231   17.270914  \n","2021-01-03 00:00:00+00:00      0.000000   0.781616   17.824178  \n","2021-01-04 00:00:00+00:00      0.000000   0.912684   17.909112  \n","2021-01-05 00:00:00+00:00    -13.368125   0.769182   17.738577  \n","\n","[5 rows x 99 columns]"],"text/html":["\n","  <div id=\"df-e1e53bcf-e069-4e0b-8ec7-1b28b4a91bfa\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-01-01 00:00:00+00:00</th>\n","      <td>1.510</td>\n","      <td>1.865</td>\n","      <td>1.495</td>\n","      <td>1.847</td>\n","      <td>25722549.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>1.847</td>\n","      <td>1</td>\n","      <td>0.000000</td>\n","      <td>0.613563</td>\n","      <td>17.062879</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-02 00:00:00+00:00</th>\n","      <td>1.847</td>\n","      <td>2.012</td>\n","      <td>1.752</td>\n","      <td>1.799</td>\n","      <td>31671064.0</td>\n","      <td>-0.025988</td>\n","      <td>0.025988</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>1.847</td>\n","      <td>1</td>\n","      <td>-2.598809</td>\n","      <td>0.587231</td>\n","      <td>17.270914</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-03 00:00:00+00:00</th>\n","      <td>1.799</td>\n","      <td>2.808</td>\n","      <td>2.007</td>\n","      <td>2.185</td>\n","      <td>55073422.0</td>\n","      <td>0.214564</td>\n","      <td>0.214564</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>2.185</td>\n","      <td>2</td>\n","      <td>0.000000</td>\n","      <td>0.781616</td>\n","      <td>17.824178</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-04 00:00:00+00:00</th>\n","      <td>2.185</td>\n","      <td>2.573</td>\n","      <td>2.066</td>\n","      <td>2.491</td>\n","      <td>59955405.0</td>\n","      <td>0.140046</td>\n","      <td>0.140046</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>2.491</td>\n","      <td>3</td>\n","      <td>0.000000</td>\n","      <td>0.912684</td>\n","      <td>17.909112</td>\n","    </tr>\n","    <tr>\n","      <th>2021-01-05 00:00:00+00:00</th>\n","      <td>2.491</td>\n","      <td>2.634</td>\n","      <td>2.145</td>\n","      <td>2.158</td>\n","      <td>50555207.0</td>\n","      <td>-0.133681</td>\n","      <td>0.133681</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>2.491</td>\n","      <td>3</td>\n","      <td>-13.368125</td>\n","      <td>0.769182</td>\n","      <td>17.738577</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 99 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e1e53bcf-e069-4e0b-8ec7-1b28b4a91bfa')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      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Price_to_Resistance_Ratio  \\\n","date                                     ...                              \n","2021-07-19 00:00:00+00:00             0  ...                   0.643045   \n","2021-07-20 00:00:00+00:00             0  ...                   0.615748   \n","2021-07-21 00:00:00+00:00             0  ...                   0.698950   \n","2021-07-22 00:00:00+00:00             1  ...                   0.727297   \n","2021-07-23 00:00:00+00:00             0  ...                   0.748294   \n","\n","                           20d_High  20d_Low  Price_Range_Width  \\\n","date                                                              \n","2021-07-19 00:00:00+00:00      38.1    24.01           0.575102   \n","2021-07-20 00:00:00+00:00      38.1    22.12           0.681159   \n","2021-07-21 00:00:00+00:00      38.1    22.12           0.600075   \n","2021-07-22 00:00:00+00:00      38.1    22.12           0.576687   \n","2021-07-23 00:00:00+00:00      38.1    22.12           0.560505   \n","\n","                           In_Range_Market    ATH  Days_Since_ATH  \\\n","date                                                                \n","2021-07-19 00:00:00+00:00                0  55.98              43   \n","2021-07-20 00:00:00+00:00                0  55.98              43   \n","2021-07-21 00:00:00+00:00                0  55.98              43   \n","2021-07-22 00:00:00+00:00                0  55.98              43   \n","2021-07-23 00:00:00+00:00                0  55.98              43   \n","\n","                           ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                            \n","2021-07-19 00:00:00+00:00    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 99 columns]"],"text/html":["\n","  <div id=\"df-bffdb0e5-824d-4cf6-9906-a076c298170e\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>24.50</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      <td>3.198673</td>\n","      <td>19.706921</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>24.50</td>\n","      <td>24.98</td>\n","      <td>22.12</td>\n","      <td>23.46</td>\n","      <td>413439963.0</td>\n","      <td>-0.042449</td>\n","      <td>0.042449</td>\n","      <td>0.059341</td>\n","      <td>1.183664</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.615748</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.681159</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-58.092176</td>\n","      <td>3.155297</td>\n","      <td>19.840023</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>23.46</td>\n","      <td>27.45</td>\n","      <td>22.83</td>\n","      <td>26.63</td>\n","      <td>555770206.0</td>\n","      <td>0.135124</td>\n","      <td>0.135124</td>\n","      <td>0.057102</td>\n","      <td>1.627863</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.698950</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.600075</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-52.429439</td>\n","      <td>3.282038</td>\n","      <td>20.135865</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>26.63</td>\n","      <td>28.18</td>\n","      <td>25.94</td>\n","      <td>27.71</td>\n","      <td>364666998.0</td>\n","      <td>0.040556</td>\n","      <td>0.040556</td>\n","      <td>0.066915</td>\n","      <td>1.055579</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0.727297</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.576687</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-50.500179</td>\n","      <td>3.321793</td>\n","      <td>19.714495</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>28.51</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 99 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div 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Save the engineered dataset\n","df.to_csv('/content/drive/MyDrive/Crypto-data-v3/step3_feature_engineering.csv', index=True, index_label='date')\n","print(\"\\nEngineered dataset saved as 'step3_feature_engineering.csv'\")"],"metadata":{"id":"aRlFTjBAs_sW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469751243,"user_tz":-330,"elapsed":506,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"24c705ae-e775-405b-fd71-bfcc64b3e997"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Engineered dataset saved as 'step3_feature_engineering.csv'\n"]}]},{"cell_type":"code","source":["# 5.15. Print first few rows of the final dataset with key features\n","print(\"\\nSample of final dataset with key engineered features:\")\n","key_display_features = ['Close', 'Volume', 'Returns', 'SMA_20', 'SMA_50', 'RSI_14', 'MACD_Line', 'ATR_14']\n","print(df[key_display_features].head())"],"metadata":{"id":"3h_I7ZsMtB1o","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469753765,"user_tz":-330,"elapsed":14,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"6c1d98bc-9d04-44db-c31b-eb5ca89bde5d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Sample of final dataset with key engineered features:\n","                           Close       Volume   Returns   SMA_20   SMA_50  \\\n","date                                                                        \n","2021-07-19 00:00:00+00:00  24.50  361915410.0 -0.081365  31.4950  33.9750   \n","2021-07-20 00:00:00+00:00  23.46  413439963.0 -0.042449  30.8915  33.7886   \n","2021-07-21 00:00:00+00:00  26.63  555770206.0  0.135124  30.5570  33.7016   \n","2021-07-22 00:00:00+00:00  27.71  364666998.0  0.040556  30.2425  33.5762   \n","2021-07-23 00:00:00+00:00  28.51  407955237.0  0.028870  29.9430  33.3552   \n","\n","                              RSI_14  MACD_Line    ATR_14  \n","date                                                       \n","2021-07-19 00:00:00+00:00  31.439894  -2.152215  2.782143  \n","2021-07-20 00:00:00+00:00  26.013363  -2.422425  2.835000  \n","2021-07-21 00:00:00+00:00  28.188500  -2.353644  2.861429  \n","2021-07-22 00:00:00+00:00  36.839554  -2.186780  2.717143  \n","2021-07-23 00:00:00+00:00  38.740009  -1.967308  2.705000  \n"]}]},{"cell_type":"markdown","source":["# **DATA Splitting**"],"metadata":{"id":"sqt41HxBtNwO"}},{"cell_type":"code","source":["from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler\n","from sklearn.model_selection import train_test_split"],"metadata":{"id":"ulbGF8IptMYe"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(\"Step 4: Feature Scaling/Normalization\")\n","\n","# 4.1. First, let's separate our target variable and features\n","# Assuming our target is the 'Close' price\n","target_column = 'Close'\n","features = df.drop(columns=[target_column])\n"],"metadata":{"id":"eWBnKfw0t10n","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469762379,"user_tz":-330,"elapsed":12,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"dc42043a-71ba-417f-fc24-2daca4ef13d9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Step 4: Feature Scaling/Normalization\n"]}]},{"cell_type":"code","source":["# 4.2. Split data chronologically into train and validation sets\n","# Time series requires chronological splitting - don't shuffle!\n","train_size = 0.8  # Use 80% of data for training\n","split_idx = int(len(df) * train_size)\n","\n","# Split features and target\n","X_train = features.iloc[:split_idx]\n","X_valid = features.iloc[split_idx:]\n","y_train = df[target_column].iloc[:split_idx]\n","y_valid = df[target_column].iloc[split_idx:]\n","\n","print(f\"Training set shape: {X_train.shape}\")\n","print(f\"Validation set shape: {X_valid.shape}\")"],"metadata":{"id":"PgAnnncSt4GX","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745469767047,"user_tz":-330,"elapsed":15,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ee65036d-9fc6-44d0-b1c0-7355dd4ce6b7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Training set shape: (1093, 98)\n","Validation set shape: (274, 98)\n"]}]},{"cell_type":"code","source":["X_valid.columns.to_list()\n","\n","# A = X_valid.columns.to_list()\n","# print(A)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"ZlyoWI8lTVQs","executionInfo":{"status":"ok","timestamp":1745469770985,"user_tz":-330,"elapsed":31,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"102de53f-8495-4a88-9d45-75783359c735"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['Open',\n"," 'High',\n"," 'Low',\n"," 'Volume',\n"," 'Returns',\n"," 'Returns_Abs',\n"," 'Volatility_14d',\n"," 'Volume_Ratio',\n"," 'Extreme_Move',\n"," 'Close_Lag_1',\n"," 'Volume_Lag_1',\n"," 'Returns_Lag_1',\n"," 'Close_Lag_2',\n"," 'Volume_Lag_2',\n"," 'Returns_Lag_2',\n"," 'Close_Lag_3',\n"," 'Volume_Lag_3',\n"," 'Returns_Lag_3',\n"," 'Close_Lag_5',\n"," 'Volume_Lag_5',\n"," 'Returns_Lag_5',\n"," 'Close_Lag_7',\n"," 'Volume_Lag_7',\n"," 'Returns_Lag_7',\n"," 'Close_Lag_14',\n"," 'Volume_Lag_14',\n"," 'Returns_Lag_14',\n"," 'Close_Lag_21',\n"," 'Volume_Lag_21',\n"," 'Returns_Lag_21',\n"," 'SMA_5',\n"," 'EMA_5',\n"," 'Volume_SMA_5',\n"," 'SMA_10',\n"," 'EMA_10',\n"," 'Volume_SMA_10',\n"," 'SMA_20',\n"," 'EMA_20',\n"," 'Volume_SMA_20',\n"," 'SMA_50',\n"," 'EMA_50',\n"," 'Volume_SMA_50',\n"," 'SMA_100',\n"," 'EMA_100',\n"," 'Volume_SMA_100',\n"," 'SMA_200',\n"," 'EMA_200',\n"," 'Volume_SMA_200',\n"," 'ROC_5',\n"," 'ROC_10',\n"," 'ROC_20',\n"," 'MACD_Line',\n"," 'MACD_Signal',\n"," 'MACD_Hist',\n"," 'RSI_14',\n"," 'Williams_%R',\n"," 'BB_Upper_20',\n"," 'BB_Middle_20',\n"," 'BB_Lower_20',\n"," 'BB_Width_20',\n"," 'ATR_14',\n"," 'Day_of_Week',\n"," 'Month',\n"," 'Quarter',\n"," 'Year',\n"," 'Day_of_Month',\n"," 'Week_of_Year',\n"," 'Day_of_Week_sin',\n"," 'Day_of_Week_cos',\n"," 'Month_sin',\n"," 'Month_cos',\n"," 'Quarter_sin',\n"," 'Quarter_cos',\n"," 'Price_Volume_Ratio',\n"," 'Price_Volume_SMA10_Ratio',\n"," 'ATR_Close_Ratio',\n"," 'SMA_50_Above_SMA_200',\n"," 'SMA_Golden_Cross',\n"," 'SMA_Death_Cross',\n"," 'RSI_Overbought',\n"," 'RSI_Oversold',\n"," 'Price_Above_SMA_200',\n"," 'Price_Above_SMA_50',\n"," 'Higher_High',\n"," 'Lower_Low',\n"," 'Support_Level',\n"," 'Resistance_Level',\n"," 'Price_to_Support_Ratio',\n"," 'Price_to_Resistance_Ratio',\n"," '20d_High',\n"," '20d_Low',\n"," 'Price_Range_Width',\n"," 'In_Range_Market',\n"," 'ATH',\n"," 'Days_Since_ATH',\n"," 'ATH_Drawdown',\n"," 'Log_Close',\n"," 'Log_Volume']"]},"metadata":{},"execution_count":54}]},{"cell_type":"code","source":["y_valid.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272},"id":"m8HLoBEYTdhE","executionInfo":{"status":"ok","timestamp":1745469774557,"user_tz":-330,"elapsed":24,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f404abb4-db0d-47c1-a9ec-e5c31e4593df"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date\n","2024-07-16 00:00:00+00:00    160.65\n","2024-07-17 00:00:00+00:00    155.50\n","2024-07-18 00:00:00+00:00    159.20\n","2024-07-19 00:00:00+00:00    169.20\n","2024-07-20 00:00:00+00:00    173.68\n","Name: Close, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Close</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2024-07-16 00:00:00+00:00</th>\n","      <td>160.65</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-17 00:00:00+00:00</th>\n","      <td>155.50</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-18 00:00:00+00:00</th>\n","      <td>159.20</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-19 00:00:00+00:00</th>\n","      <td>169.20</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-20 00:00:00+00:00</th>\n","      <td>173.68</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":55}]},{"cell_type":"code","source":["X_train.columns.to_list()\n","\n","# B = X_train.columns.to_list()\n","# print(B)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"I140yM9_sFi9","executionInfo":{"status":"ok","timestamp":1745469789265,"user_tz":-330,"elapsed":43,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"53815b35-ffdb-4f06-c55f-f375f9ae30d8"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['Open',\n"," 'High',\n"," 'Low',\n"," 'Volume',\n"," 'Returns',\n"," 'Returns_Abs',\n"," 'Volatility_14d',\n"," 'Volume_Ratio',\n"," 'Extreme_Move',\n"," 'Close_Lag_1',\n"," 'Volume_Lag_1',\n"," 'Returns_Lag_1',\n"," 'Close_Lag_2',\n"," 'Volume_Lag_2',\n"," 'Returns_Lag_2',\n"," 'Close_Lag_3',\n"," 'Volume_Lag_3',\n"," 'Returns_Lag_3',\n"," 'Close_Lag_5',\n"," 'Volume_Lag_5',\n"," 'Returns_Lag_5',\n"," 'Close_Lag_7',\n"," 'Volume_Lag_7',\n"," 'Returns_Lag_7',\n"," 'Close_Lag_14',\n"," 'Volume_Lag_14',\n"," 'Returns_Lag_14',\n"," 'Close_Lag_21',\n"," 'Volume_Lag_21',\n"," 'Returns_Lag_21',\n"," 'SMA_5',\n"," 'EMA_5',\n"," 'Volume_SMA_5',\n"," 'SMA_10',\n"," 'EMA_10',\n"," 'Volume_SMA_10',\n"," 'SMA_20',\n"," 'EMA_20',\n"," 'Volume_SMA_20',\n"," 'SMA_50',\n"," 'EMA_50',\n"," 'Volume_SMA_50',\n"," 'SMA_100',\n"," 'EMA_100',\n"," 'Volume_SMA_100',\n"," 'SMA_200',\n"," 'EMA_200',\n"," 'Volume_SMA_200',\n"," 'ROC_5',\n"," 'ROC_10',\n"," 'ROC_20',\n"," 'MACD_Line',\n"," 'MACD_Signal',\n"," 'MACD_Hist',\n"," 'RSI_14',\n"," 'Williams_%R',\n"," 'BB_Upper_20',\n"," 'BB_Middle_20',\n"," 'BB_Lower_20',\n"," 'BB_Width_20',\n"," 'ATR_14',\n"," 'Day_of_Week',\n"," 'Month',\n"," 'Quarter',\n"," 'Year',\n"," 'Day_of_Month',\n"," 'Week_of_Year',\n"," 'Day_of_Week_sin',\n"," 'Day_of_Week_cos',\n"," 'Month_sin',\n"," 'Month_cos',\n"," 'Quarter_sin',\n"," 'Quarter_cos',\n"," 'Price_Volume_Ratio',\n"," 'Price_Volume_SMA10_Ratio',\n"," 'ATR_Close_Ratio',\n"," 'SMA_50_Above_SMA_200',\n"," 'SMA_Golden_Cross',\n"," 'SMA_Death_Cross',\n"," 'RSI_Overbought',\n"," 'RSI_Oversold',\n"," 'Price_Above_SMA_200',\n"," 'Price_Above_SMA_50',\n"," 'Higher_High',\n"," 'Lower_Low',\n"," 'Support_Level',\n"," 'Resistance_Level',\n"," 'Price_to_Support_Ratio',\n"," 'Price_to_Resistance_Ratio',\n"," '20d_High',\n"," '20d_Low',\n"," 'Price_Range_Width',\n"," 'In_Range_Market',\n"," 'ATH',\n"," 'Days_Since_ATH',\n"," 'ATH_Drawdown',\n"," 'Log_Close',\n"," 'Log_Volume']"]},"metadata":{},"execution_count":56}]},{"cell_type":"code","source":["# # Convert to sets for comparison\n","# set_A = set(A)\n","# set_B = set(B)\n","\n","# # Count number of features\n","# print(f\"Number of features in A: {len(A)}\")\n","# print(f\"Number of features in B: {len(B)}\")\n","\n","# # Compare sets\n","# features_only_in_A = set_A - set_B\n","# features_only_in_B = set_B - set_A\n","\n","# # Display differences\n","# print(f\"\\nFeatures only in A ({len(features_only_in_A)}): {features_only_in_A}\")\n","# print(f\"Features only in B ({len(features_only_in_B)}): {features_only_in_B}\")\n","\n","# # Optional: Show whether A and B are identical\n","# if A == B:\n","#     print(\"\\n✅ A and B have identical features in the same order.\")\n","# elif set_A == set_B:\n","#     print(\"\\n✅ A and B have the same features but in different order.\")\n","# else:\n","#     print(\"\\n❌ A and B have different features.\")"],"metadata":{"id":"1CxCf7QftoCW"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["y_train.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272},"id":"utfgUZW5sHs1","executionInfo":{"status":"ok","timestamp":1745469794729,"user_tz":-330,"elapsed":10,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"e10d84be-dfad-4be8-9347-a7be8b3a2d53"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date\n","2021-07-19 00:00:00+00:00    24.50\n","2021-07-20 00:00:00+00:00    23.46\n","2021-07-21 00:00:00+00:00    26.63\n","2021-07-22 00:00:00+00:00    27.71\n","2021-07-23 00:00:00+00:00    28.51\n","Name: Close, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Close</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>24.50</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>23.46</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>26.63</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>27.71</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>28.51</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":58}]},{"cell_type":"code","source":["X_train.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":373},"id":"-3qc6QcVsSul","executionInfo":{"status":"ok","timestamp":1745469796598,"user_tz":-330,"elapsed":32,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"f696d29b-45d0-49be-c6cd-305a450a9fd5"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low       Volume   Returns  \\\n","date                                                                    \n","2021-07-19 00:00:00+00:00  26.67  26.70  24.01  361915410.0 -0.081365   \n","2021-07-20 00:00:00+00:00  24.50  24.98  22.12  413439963.0 -0.042449   \n","2021-07-21 00:00:00+00:00  23.46  27.45  22.83  555770206.0  0.135124   \n","2021-07-22 00:00:00+00:00  26.63  28.18  25.94  364666998.0  0.040556   \n","2021-07-23 00:00:00+00:00  27.71  28.70  26.41  407955237.0  0.028870   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00     0.081365        0.057010      1.020097   \n","2021-07-20 00:00:00+00:00     0.042449        0.059341      1.183664   \n","2021-07-21 00:00:00+00:00     0.135124        0.057102      1.627863   \n","2021-07-22 00:00:00+00:00     0.040556        0.066915      1.055579   \n","2021-07-23 00:00:00+00:00     0.028870        0.064858      1.193953   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2021-07-19 00:00:00+00:00             0        26.67  ...   \n","2021-07-20 00:00:00+00:00             0        24.50  ...   \n","2021-07-21 00:00:00+00:00             0        23.46  ...   \n","2021-07-22 00:00:00+00:00             1        26.63  ...   \n","2021-07-23 00:00:00+00:00             0        27.71  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2021-07-19 00:00:00+00:00                   0.643045      38.1    24.01   \n","2021-07-20 00:00:00+00:00                   0.615748      38.1    22.12   \n","2021-07-21 00:00:00+00:00                   0.698950      38.1    22.12   \n","2021-07-22 00:00:00+00:00                   0.727297      38.1    22.12   \n","2021-07-23 00:00:00+00:00                   0.748294      38.1    22.12   \n","\n","                           Price_Range_Width  In_Range_Market    ATH  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00           0.575102                0  55.98   \n","2021-07-20 00:00:00+00:00           0.681159                0  55.98   \n","2021-07-21 00:00:00+00:00           0.600075                0  55.98   \n","2021-07-22 00:00:00+00:00           0.576687                0  55.98   \n","2021-07-23 00:00:00+00:00           0.560505                0  55.98   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2021-07-19 00:00:00+00:00              43    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00              43    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00              43    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00              43    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00              43    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-d9338687-29db-40c7-8ad2-5970603d3e85\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>26.67</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      <td>3.198673</td>\n","      <td>19.706921</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>24.50</td>\n","      <td>24.98</td>\n","      <td>22.12</td>\n","      <td>413439963.0</td>\n","      <td>-0.042449</td>\n","      <td>0.042449</td>\n","      <td>0.059341</td>\n","      <td>1.183664</td>\n","      <td>0</td>\n","      <td>24.50</td>\n","      <td>...</td>\n","      <td>0.615748</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.681159</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-58.092176</td>\n","      <td>3.155297</td>\n","      <td>19.840023</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>23.46</td>\n","      <td>27.45</td>\n","      <td>22.83</td>\n","      <td>555770206.0</td>\n","      <td>0.135124</td>\n","      <td>0.135124</td>\n","      <td>0.057102</td>\n","      <td>1.627863</td>\n","      <td>0</td>\n","      <td>23.46</td>\n","      <td>...</td>\n","      <td>0.698950</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.600075</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-52.429439</td>\n","      <td>3.282038</td>\n","      <td>20.135865</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>26.63</td>\n","      <td>28.18</td>\n","      <td>25.94</td>\n","      <td>364666998.0</td>\n","      <td>0.040556</td>\n","      <td>0.040556</td>\n","      <td>0.066915</td>\n","      <td>1.055579</td>\n","      <td>1</td>\n","      <td>26.63</td>\n","      <td>...</td>\n","      <td>0.727297</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.576687</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-50.500179</td>\n","      <td>3.321793</td>\n","      <td>19.714495</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>27.71</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d9338687-29db-40c7-8ad2-5970603d3e85')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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\n","2024-07-13 00:00:00+00:00  139.55  143.58  138.04  1.131518e+09  0.017198   \n","2024-07-14 00:00:00+00:00  141.95  148.58  141.94  2.009294e+09  0.040648   \n","2024-07-15 00:00:00+00:00  147.72  160.06  147.11  2.580624e+09  0.080016   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2024-07-11 00:00:00+00:00     0.044363        0.062159      0.987970   \n","2024-07-12 00:00:00+00:00     0.028296        0.057747      0.858445   \n","2024-07-13 00:00:00+00:00     0.017198        0.055649      0.477346   \n","2024-07-14 00:00:00+00:00     0.040648        0.055809      0.846441   \n","2024-07-15 00:00:00+00:00     0.080016        0.055510      1.120423   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2024-07-11 00:00:00+00:00             0       142.01  ...   \n","2024-07-12 00:00:00+00:00             0       135.71  ...   \n","2024-07-13 00:00:00+00:00             0       139.55  ...   \n","2024-07-14 00:00:00+00:00             0       141.95  ...   \n","2024-07-15 00:00:00+00:00             0       147.72  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2024-07-11 00:00:00+00:00                   0.876793    154.78   121.19   \n","2024-07-12 00:00:00+00:00                   0.901602    154.78   121.19   \n","2024-07-13 00:00:00+00:00                   0.917108    154.78   121.19   \n","2024-07-14 00:00:00+00:00                   0.954387    154.78   121.19   \n","2024-07-15 00:00:00+00:00                   0.996751    160.06   121.19   \n","\n","                           Price_Range_Width  In_Range_Market     ATH  \\\n","date                                                                    \n","2024-07-11 00:00:00+00:00           0.247513                0  258.63   \n","2024-07-12 00:00:00+00:00           0.240702                0  258.63   \n","2024-07-13 00:00:00+00:00           0.236633                0  258.63   \n","2024-07-14 00:00:00+00:00           0.227390                0  258.63   \n","2024-07-15 00:00:00+00:00           0.243638                0  258.63   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2024-07-11 00:00:00+00:00              65    -47.527356   4.910520   21.550459  \n","2024-07-12 00:00:00+00:00              65    -46.042609   4.938423   21.411488  \n","2024-07-13 00:00:00+00:00              65    -45.114643   4.955475   20.846826  \n","2024-07-14 00:00:00+00:00              65    -42.883656   4.995319   21.421049  \n","2024-07-15 00:00:00+00:00              65    -38.313421   5.072295   21.671297  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-4a4e7e5c-cf10-427f-b994-79748840a035\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2024-07-11 00:00:00+00:00</th>\n","      <td>142.01</td>\n","      <td>145.93</td>\n","      <td>135.70</td>\n","      <td>2.286891e+09</td>\n","      <td>-0.044363</td>\n","      <td>0.044363</td>\n","      <td>0.062159</td>\n","      <td>0.987970</td>\n","      <td>0</td>\n","      <td>142.01</td>\n","      <td>...</td>\n","      <td>0.876793</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.247513</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-47.527356</td>\n","      <td>4.910520</td>\n","      <td>21.550459</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-12 00:00:00+00:00</th>\n","      <td>135.71</td>\n","      <td>140.64</td>\n","      <td>133.99</td>\n","      <td>1.990173e+09</td>\n","      <td>0.028296</td>\n","      <td>0.028296</td>\n","      <td>0.057747</td>\n","      <td>0.858445</td>\n","      <td>0</td>\n","      <td>135.71</td>\n","      <td>...</td>\n","      <td>0.901602</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.240702</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-46.042609</td>\n","      <td>4.938423</td>\n","      <td>21.411488</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-13 00:00:00+00:00</th>\n","      <td>139.55</td>\n","      <td>143.58</td>\n","      <td>138.04</td>\n","      <td>1.131518e+09</td>\n","      <td>0.017198</td>\n","      <td>0.017198</td>\n","      <td>0.055649</td>\n","      <td>0.477346</td>\n","      <td>0</td>\n","      <td>139.55</td>\n","      <td>...</td>\n","      <td>0.917108</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.236633</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-45.114643</td>\n","      <td>4.955475</td>\n","      <td>20.846826</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-14 00:00:00+00:00</th>\n","      <td>141.95</td>\n","      <td>148.58</td>\n","      <td>141.94</td>\n","      <td>2.009294e+09</td>\n","      <td>0.040648</td>\n","      <td>0.040648</td>\n","      <td>0.055809</td>\n","      <td>0.846441</td>\n","      <td>0</td>\n","      <td>141.95</td>\n","      <td>...</td>\n","      <td>0.954387</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.227390</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-42.883656</td>\n","      <td>4.995319</td>\n","      <td>21.421049</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-15 00:00:00+00:00</th>\n","      <td>147.72</td>\n","      <td>160.06</td>\n","      <td>147.11</td>\n","      <td>2.580624e+09</td>\n","      <td>0.080016</td>\n","      <td>0.080016</td>\n","      <td>0.055510</td>\n","      <td>1.120423</td>\n","      <td>0</td>\n","      <td>147.72</td>\n","      <td>...</td>\n","      <td>0.996751</td>\n","      <td>160.06</td>\n","      <td>121.19</td>\n","      <td>0.243638</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-38.313421</td>\n","      <td>5.072295</td>\n","      <td>21.671297</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button 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155.50  161.61  155.20  2.044591e+09  0.023794   \n","2024-07-19 00:00:00+00:00  159.20  172.37  156.21  3.617010e+09  0.062814   \n","2024-07-20 00:00:00+00:00  169.20  175.03  167.34  1.908476e+09  0.026478   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2024-07-16 00:00:00+00:00     0.006958        0.059276      1.315560   \n","2024-07-17 00:00:00+00:00     0.032057        0.058043      0.949896   \n","2024-07-18 00:00:00+00:00     0.023794        0.053253      0.871585   \n","2024-07-19 00:00:00+00:00     0.062814        0.044840      1.553527   \n","2024-07-20 00:00:00+00:00     0.026478        0.045637      0.778286   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2024-07-16 00:00:00+00:00             0       159.54  ...   \n","2024-07-17 00:00:00+00:00             0       160.65  ...   \n","2024-07-18 00:00:00+00:00             0       155.50  ...   \n","2024-07-19 00:00:00+00:00             0       159.20  ...   \n","2024-07-20 00:00:00+00:00             0       169.20  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2024-07-16 00:00:00+00:00                   0.987947    162.61   121.19   \n","2024-07-17 00:00:00+00:00                   0.949328    163.80   121.19   \n","2024-07-18 00:00:00+00:00                   0.971917    163.80   121.19   \n","2024-07-19 00:00:00+00:00                   0.981609    172.37   121.19   \n","2024-07-20 00:00:00+00:00                   0.992287    175.03   121.19   \n","\n","                           Price_Range_Width  In_Range_Market     ATH  \\\n","date                                                                    \n","2024-07-16 00:00:00+00:00           0.257828                0  258.63   \n","2024-07-17 00:00:00+00:00           0.274019                0  258.63   \n","2024-07-18 00:00:00+00:00           0.267651                0  258.63   \n","2024-07-19 00:00:00+00:00           0.302482                0  258.63   \n","2024-07-20 00:00:00+00:00           0.309995                0  258.63   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2024-07-16 00:00:00+00:00              65    -37.884236   5.079228   21.833225  \n","2024-07-17 00:00:00+00:00              65    -39.875498   5.046646   21.536705  \n","2024-07-18 00:00:00+00:00              65    -38.444883   5.070161   21.438464  \n","2024-07-19 00:00:00+00:00              65    -34.578355   5.131081   22.008914  \n","2024-07-20 00:00:00+00:00              65    -32.846151   5.157215   21.369571  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-29e0aac7-9d9c-4718-aef9-088b29849ce5\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2024-07-16 00:00:00+00:00</th>\n","      <td>159.54</td>\n","      <td>162.61</td>\n","      <td>152.66</td>\n","      <td>3.034235e+09</td>\n","      <td>0.006958</td>\n","      <td>0.006958</td>\n","      <td>0.059276</td>\n","      <td>1.315560</td>\n","      <td>0</td>\n","      <td>159.54</td>\n","      <td>...</td>\n","      <td>0.987947</td>\n","      <td>162.61</td>\n","      <td>121.19</td>\n","      <td>0.257828</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-37.884236</td>\n","      <td>5.079228</td>\n","      <td>21.833225</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-17 00:00:00+00:00</th>\n","      <td>160.65</td>\n","      <td>163.80</td>\n","      <td>154.61</td>\n","      <td>2.255653e+09</td>\n","      <td>-0.032057</td>\n","      <td>0.032057</td>\n","      <td>0.058043</td>\n","      <td>0.949896</td>\n","      <td>0</td>\n","      <td>160.65</td>\n","      <td>...</td>\n","      <td>0.949328</td>\n","      <td>163.80</td>\n","      <td>121.19</td>\n","      <td>0.274019</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-39.875498</td>\n","      <td>5.046646</td>\n","      <td>21.536705</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-18 00:00:00+00:00</th>\n","      <td>155.50</td>\n","      <td>161.61</td>\n","      <td>155.20</td>\n","      <td>2.044591e+09</td>\n","      <td>0.023794</td>\n","      <td>0.023794</td>\n","      <td>0.053253</td>\n","      <td>0.871585</td>\n","      <td>0</td>\n","      <td>155.50</td>\n","      <td>...</td>\n","      <td>0.971917</td>\n","      <td>163.80</td>\n","      <td>121.19</td>\n","      <td>0.267651</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-38.444883</td>\n","      <td>5.070161</td>\n","      <td>21.438464</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-19 00:00:00+00:00</th>\n","      <td>159.20</td>\n","      <td>172.37</td>\n","      <td>156.21</td>\n","      <td>3.617010e+09</td>\n","      <td>0.062814</td>\n","      <td>0.062814</td>\n","      <td>0.044840</td>\n","      <td>1.553527</td>\n","      <td>0</td>\n","      <td>159.20</td>\n","      <td>...</td>\n","      <td>0.981609</td>\n","      <td>172.37</td>\n","      <td>121.19</td>\n","      <td>0.302482</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-34.578355</td>\n","      <td>5.131081</td>\n","      <td>22.008914</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-20 00:00:00+00:00</th>\n","      <td>169.20</td>\n","      <td>175.03</td>\n","      <td>167.34</td>\n","      <td>1.908476e+09</td>\n","      <td>0.026478</td>\n","      <td>0.026478</td>\n","      <td>0.045637</td>\n","      <td>0.778286</td>\n","      <td>0</td>\n","      <td>169.20</td>\n","      <td>...</td>\n","      <td>0.992287</td>\n","      <td>175.03</td>\n","      <td>121.19</td>\n","      <td>0.309995</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-32.846151</td>\n","      <td>5.157215</td>\n","      <td>21.369571</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" 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\n","2025-04-13 00:00:00+00:00  132.26  133.51  125.52  3.818650e+09 -0.027824   \n","2025-04-14 00:00:00+00:00  128.58  135.19  128.23  4.425565e+09  0.005677   \n","2025-04-15 00:00:00+00:00  129.31  134.19  126.14  3.272094e+09 -0.023587   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2025-04-11 00:00:00+00:00     0.077394        0.059164      1.034623   \n","2025-04-12 00:00:00+00:00     0.088291        0.061731      1.036119   \n","2025-04-13 00:00:00+00:00     0.027824        0.065338      0.939224   \n","2025-04-14 00:00:00+00:00     0.005677        0.065965      1.093730   \n","2025-04-15 00:00:00+00:00     0.023587        0.065956      0.800353   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2025-04-11 00:00:00+00:00             0       112.80  ...   \n","2025-04-12 00:00:00+00:00             0       121.53  ...   \n","2025-04-13 00:00:00+00:00             0       132.26  ...   \n","2025-04-14 00:00:00+00:00             0       128.58  ...   \n","2025-04-15 00:00:00+00:00             0       129.31  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2025-04-11 00:00:00+00:00                   0.826397    147.06    96.59   \n","2025-04-12 00:00:00+00:00                   0.899361    147.06    96.59   \n","2025-04-13 00:00:00+00:00                   0.874337    147.06    96.59   \n","2025-04-14 00:00:00+00:00                   0.889523    145.37    96.59   \n","2025-04-15 00:00:00+00:00                   0.900763    140.17    96.59   \n","\n","                           Price_Range_Width  In_Range_Market     ATH  \\\n","date                                                                    \n","2025-04-11 00:00:00+00:00           0.415288                0  261.97   \n","2025-04-12 00:00:00+00:00           0.381597                0  261.97   \n","2025-04-13 00:00:00+00:00           0.392518                0  261.97   \n","2025-04-14 00:00:00+00:00           0.377233                0  261.97   \n","2025-04-15 00:00:00+00:00           0.345161                0  261.97   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2025-04-11 00:00:00+00:00              66    -53.609192   4.800161   22.097895  \n","2025-04-12 00:00:00+00:00              66    -49.513303   4.884770   22.131663  \n","2025-04-13 00:00:00+00:00              66    -50.918044   4.856551   22.063163  \n","2025-04-14 00:00:00+00:00              66    -50.639386   4.862213   22.210664  \n","2025-04-15 00:00:00+00:00              66    -51.803642   4.838343   21.908696  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-32732a39-6643-4d09-a628-9ea50f50a49d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2025-04-11 00:00:00+00:00</th>\n","      <td>112.81</td>\n","      <td>122.40</td>\n","      <td>112.19</td>\n","      <td>3.953610e+09</td>\n","      <td>0.077394</td>\n","      <td>0.077394</td>\n","      <td>0.059164</td>\n","      <td>1.034623</td>\n","      <td>0</td>\n","      <td>112.80</td>\n","      <td>...</td>\n","      <td>0.826397</td>\n","      <td>147.06</td>\n","      <td>96.59</td>\n","      <td>0.415288</td>\n","      <td>0</td>\n","      <td>261.97</td>\n","      <td>66</td>\n","      <td>-53.609192</td>\n","      <td>4.800161</td>\n","      <td>22.097895</td>\n","    </tr>\n","    <tr>\n","      <th>2025-04-12 00:00:00+00:00</th>\n","      <td>121.53</td>\n","      <td>133.76</td>\n","      <td>119.66</td>\n","      <td>4.089398e+09</td>\n","      <td>0.088291</td>\n","      <td>0.088291</td>\n","      <td>0.061731</td>\n","      <td>1.036119</td>\n","      <td>0</td>\n","      <td>121.53</td>\n","      <td>...</td>\n","      <td>0.899361</td>\n","      <td>147.06</td>\n","      <td>96.59</td>\n","      <td>0.381597</td>\n","      <td>0</td>\n","      <td>261.97</td>\n","      <td>66</td>\n","      <td>-49.513303</td>\n","      <td>4.884770</td>\n","      <td>22.131663</td>\n","    </tr>\n","    <tr>\n","      <th>2025-04-13 00:00:00+00:00</th>\n","      <td>132.26</td>\n","      <td>133.51</td>\n","      <td>125.52</td>\n","      <td>3.818650e+09</td>\n","      <td>-0.027824</td>\n","      <td>0.027824</td>\n","      <td>0.065338</td>\n","      <td>0.939224</td>\n","      <td>0</td>\n","      <td>132.26</td>\n","      <td>...</td>\n","      <td>0.874337</td>\n","      <td>147.06</td>\n","      <td>96.59</td>\n","      <td>0.392518</td>\n","      <td>0</td>\n","      <td>261.97</td>\n","      <td>66</td>\n","      <td>-50.918044</td>\n","      <td>4.856551</td>\n","      <td>22.063163</td>\n","    </tr>\n","    <tr>\n","      <th>2025-04-14 00:00:00+00:00</th>\n","      <td>128.58</td>\n","      <td>135.19</td>\n","      <td>128.23</td>\n","      <td>4.425565e+09</td>\n","      <td>0.005677</td>\n","      <td>0.005677</td>\n","      <td>0.065965</td>\n","      <td>1.093730</td>\n","      <td>0</td>\n","      <td>128.58</td>\n","      <td>...</td>\n","      <td>0.889523</td>\n","      <td>145.37</td>\n","      <td>96.59</td>\n","      <td>0.377233</td>\n","      <td>0</td>\n","      <td>261.97</td>\n","      <td>66</td>\n","      <td>-50.639386</td>\n","      <td>4.862213</td>\n","      <td>22.210664</td>\n","    </tr>\n","    <tr>\n","      <th>2025-04-15 00:00:00+00:00</th>\n","      <td>129.31</td>\n","      <td>134.19</td>\n","      <td>126.14</td>\n","      <td>3.272094e+09</td>\n","      <td>-0.023587</td>\n","      <td>0.023587</td>\n","      <td>0.065956</td>\n","      <td>0.800353</td>\n","      <td>0</td>\n","      <td>129.31</td>\n","      <td>...</td>\n","      <td>0.900763</td>\n","      <td>140.17</td>\n","      <td>96.59</td>\n","      <td>0.345161</td>\n","      <td>0</td>\n","      <td>261.97</td>\n","      <td>66</td>\n","      <td>-51.803642</td>\n","      <td>4.838343</td>\n","      <td>21.908696</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button 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Price_to_Resistance_Ratio  \\\n","date                                     ...                              \n","2021-07-19 00:00:00+00:00             0  ...                   0.643045   \n","2021-07-20 00:00:00+00:00             0  ...                   0.615748   \n","2021-07-21 00:00:00+00:00             0  ...                   0.698950   \n","2021-07-22 00:00:00+00:00             1  ...                   0.727297   \n","2021-07-23 00:00:00+00:00             0  ...                   0.748294   \n","\n","                           20d_High  20d_Low  Price_Range_Width  \\\n","date                                                              \n","2021-07-19 00:00:00+00:00      38.1    24.01           0.575102   \n","2021-07-20 00:00:00+00:00      38.1    22.12           0.681159   \n","2021-07-21 00:00:00+00:00      38.1    22.12           0.600075   \n","2021-07-22 00:00:00+00:00      38.1    22.12           0.576687   \n","2021-07-23 00:00:00+00:00      38.1    22.12           0.560505   \n","\n","                           In_Range_Market    ATH  Days_Since_ATH  \\\n","date                                                                \n","2021-07-19 00:00:00+00:00                0  55.98              43   \n","2021-07-20 00:00:00+00:00                0  55.98              43   \n","2021-07-21 00:00:00+00:00                0  55.98              43   \n","2021-07-22 00:00:00+00:00                0  55.98              43   \n","2021-07-23 00:00:00+00:00                0  55.98              43   \n","\n","                           ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                            \n","2021-07-19 00:00:00+00:00    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 99 columns]"],"text/html":["\n","  <div id=\"df-f061a0df-b582-49ca-928d-b26ccc73b0e2\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Close</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>24.50</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      <td>3.198673</td>\n","      <td>19.706921</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>24.50</td>\n","      <td>24.98</td>\n","      <td>22.12</td>\n","      <td>23.46</td>\n","      <td>413439963.0</td>\n","      <td>-0.042449</td>\n","      <td>0.042449</td>\n","      <td>0.059341</td>\n","      <td>1.183664</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.615748</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.681159</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-58.092176</td>\n","      <td>3.155297</td>\n","      <td>19.840023</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>23.46</td>\n","      <td>27.45</td>\n","      <td>22.83</td>\n","      <td>26.63</td>\n","      <td>555770206.0</td>\n","      <td>0.135124</td>\n","      <td>0.135124</td>\n","      <td>0.057102</td>\n","      <td>1.627863</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.698950</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.600075</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-52.429439</td>\n","      <td>3.282038</td>\n","      <td>20.135865</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>26.63</td>\n","      <td>28.18</td>\n","      <td>25.94</td>\n","      <td>27.71</td>\n","      <td>364666998.0</td>\n","      <td>0.040556</td>\n","      <td>0.040556</td>\n","      <td>0.066915</td>\n","      <td>1.055579</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0.727297</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.576687</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-50.500179</td>\n","      <td>3.321793</td>\n","      <td>19.714495</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>28.51</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 99 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div 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Box plots for X_train[Open, High, Low] ---\n","sns.boxplot(data=X_train[['Open', 'High', 'Low']], ax=axes[0, 0])\n","axes[0, 0].set_title('Box Plot of Open, High, Low in X_train')\n","axes[0, 0].set_ylabel('Price')\n","\n","# --- 2. Box plots for X_valid[Open, High, Low] ---\n","sns.boxplot(data=X_valid[['Open', 'High', 'Low']], ax=axes[0, 1])\n","axes[0, 1].set_title('Box Plot of Open, High, Low in X_valid')\n","axes[0, 1].set_ylabel('Price')\n","\n","# --- 3. Box plot for y_train (Close) ---\n","sns.boxplot(y=y_train, ax=axes[1, 0])\n","axes[1, 0].set_title('Box Plot of Close in y_train')\n","axes[1, 0].set_ylabel('Close Price')\n","\n","# --- 4. Box plot for y_valid (Close) ---\n","sns.boxplot(y=y_valid, ax=axes[1, 1])\n","axes[1, 1].set_title('Box Plot of Close in y_valid')\n","axes[1, 1].set_ylabel('Close Price')\n","\n","# --- 5. Histogram for y_train (Close) ---\n","sns.histplot(y_train, kde=True, ax=axes[2, 0], bins=50, color='skyblue')\n","axes[2, 0].set_title('Histogram of Close Price in y_train')\n","axes[2, 0].set_xlabel('Close Price')\n","\n","# --- 6. Histogram for y_valid (Close) ---\n","sns.histplot(y_valid, kde=True, ax=axes[2, 1], bins=50, color='orange')\n","axes[2, 1].set_title('Histogram of Close Price in y_valid')\n","axes[2, 1].set_xlabel('Close Price')\n","\n","# --- 7. Histogram for Volume in X_train ---\n","sns.histplot(X_train['Volume'], kde=True, ax=axes[3, 0], bins=50)\n","axes[3, 0].set_title('Histogram of Volume in X_train')\n","axes[3, 0].set_xlabel('Volume')\n","\n","# --- 8. Histogram for Volume in X_valid ---\n","sns.histplot(X_valid['Volume'], kde=True, ax=axes[3, 1], bins=50)\n","axes[3, 1].set_title('Histogram of Volume in X_valid')\n","axes[3, 1].set_xlabel('Volume')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"WYN9MFMH1Bry","executionInfo":{"status":"ok","timestamp":1745469825647,"user_tz":-330,"elapsed":2209,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"c34e69eb-258c-48c3-873a-4395f1bcb4e0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 0, 'Volume')"]},"metadata":{},"execution_count":66},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x2500 with 8 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Separate figure for validation set\n","fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n","\n","\n","# --- Row 3: Distribution & QQ Plot ---\n","\n","# Histogram of daily returns in y_train\n","daily_returns_train = y_train.pct_change().dropna()\n","sns.histplot(daily_returns_train, kde=True, ax=axes[0], bins=50, color='skyblue')\n","axes[0].set_title('Daily Returns Distribution (y_train)')\n","axes[0].set_xlabel('Return')\n","axes[0].set_ylabel('Frequency')\n","\n","# QQ Plot for daily returns in y_train\n","stats.probplot(daily_returns_train, dist=\"norm\", plot=axes[1])\n","axes[1].set_title('Q-Q Plot of Daily Returns (y_train)')\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":376},"id":"FZgE2z8K1eWJ","executionInfo":{"status":"ok","timestamp":1745469833141,"user_tz":-330,"elapsed":506,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"31c48445-9729-4961-8621-57b088061a18"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Separate figure for validation set\n","fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n","\n","# Histogram of daily returns in y_valid\n","daily_returns_valid = y_valid.pct_change().dropna()\n","sns.histplot(daily_returns_valid, kde=True, ax=axes[0], bins=50, color='orange')\n","axes[0].set_title('Daily Returns Distribution (y_valid)')\n","axes[0].set_xlabel('Return')\n","axes[0].set_ylabel('Frequency')\n","\n","# QQ Plot for daily returns in y_valid\n","stats.probplot(daily_returns_valid, dist=\"norm\", plot=axes[1])\n","axes[1].set_title('Q-Q Plot of Daily Returns (y_valid)')\n","\n","plt.tight_layout()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":376},"id":"q636ujtk1e1B","executionInfo":{"status":"ok","timestamp":1745469948727,"user_tz":-330,"elapsed":429,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"725e70ee-497b-4f13-fec6-332a1fff75e8"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# # # 5.2.1. Z-Score Method\n","# print(\"\\n----- Z-Score Method -----\")\n","# z_scores = {}\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     z_scores[column] = np.abs(stats.zscore(X_train[column]))\n","\n","#     # Identify outliers (typically |z| > 4)\n","#     outliers_others_z = X_train[z_scores[column] > 3]\n","#     print(f\"Z-Score outliers in {column}: {len(outliers_others_z)} ({len(outliers_others_z)/len(df)*100:.2f}%)\")\n","\n","#     if len(outliers_others_z) > 0:\n","#       print(\"First few outliers:\")\n","#       print(outliers_others_z.head())\n","#       print(\"\\n\")\n","\n","# z_scores['Close'] = np.abs(stats.zscore(y_train))\n","# outliers_close_z = y_train[z_scores['Close'] > 3]\n","# print(f\"Z-Score outliers in Close: {len(outliers_close_z)} ({len(outliers_close_z)/len(y_train)*100:.2f}%)\")\n","\n","# if len(outliers_close_z) > 0:\n","#     print(\"First few outliers:\")\n","#     print(outliers_close_z.head())\n","#     print(\"\\n\")\n","\n","\n","import matplotlib.pyplot as plt\n","\n","# Define thresholds\n","PRICE_THRESHOLD = 3.75  # For Open, High, Low, Close\n","VOLUME_THRESHOLD = 3.0  # For Volume\n","\n","# ----- Z-Score Method -----\n","print(\"\\n----- Z-Score Method -----\")\n","z_scores = {}\n","outliers_z = {}\n","\n","for column in ['Open', 'High', 'Low', 'Volume']:\n","    z_scores[column] = np.abs(stats.zscore(X_train[column]))\n","    threshold = VOLUME_THRESHOLD if column == 'Volume' else PRICE_THRESHOLD\n","    outliers = X_train[z_scores[column] > threshold]\n","    outliers_z[column] = outliers\n","    print(f\"Z-Score outliers in {column} (threshold={threshold}): {len(outliers)}\")\n","\n","# Handle Close separately\n","z_scores['Close'] = np.abs(stats.zscore(y_train))\n","outliers_close_z = y_train[z_scores['Close'] > PRICE_THRESHOLD]\n","outliers_z['Close'] = outliers_close_z\n","print(f\"Z-Score outliers in Close (threshold={PRICE_THRESHOLD}): {len(outliers_close_z)}\")\n","\n","# Plot Z-Score Outliers\n","fig, axes = plt.subplots(3, 2, figsize=(20, 15))\n","axes = axes.flatten()\n","for i, col in enumerate(['Open', 'High', 'Low', 'Volume', 'Close']):\n","    if col == 'Close':\n","        axes[i].plot(y_train.index, y_train, label=f'{col} Price')\n","        axes[i].scatter(outliers_z[col].index, outliers_z[col], color='red', label='Outliers')\n","    else:\n","        axes[i].plot(X_train.index, X_train[col], label=f'{col}')\n","        axes[i].scatter(outliers_z[col].index, X_train.loc[outliers_z[col].index, col], color='red')\n","    axes[i].set_title(f'Z-Score Outliers ({col})')\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":791},"id":"caHPkRsEpO_M","executionInfo":{"status":"ok","timestamp":1745469954842,"user_tz":-330,"elapsed":2554,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"440d2e3f-f44c-425e-ad0a-85d8897f547a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Z-Score Method -----\n","Z-Score outliers in Open (threshold=3.75): 0\n","Z-Score outliers in High (threshold=3.75): 0\n","Z-Score outliers in Low (threshold=3.75): 0\n","Z-Score outliers in Volume (threshold=3.0): 18\n","Z-Score outliers in Close (threshold=3.75): 0\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1500 with 6 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fwsj0TFrr4p3iZoe4+b9tdVXyJAreI4xMBwAAAFAiJMRRsULReAV5vglxs0M842s5dogzMh0AAAAAMH4Fwsm4eHN3MiFudnLXDbFDPFVbnTkyPf7aZqd4W71fXjrEAQAAAJQYCXFULLOre7D94SZvynHnHbJD2mtJ6SPT6RAHAAAAAJTCW+u7tXpbf7lPQ4Fw1Pp4c0/A+rg/WKAO8cQO8W19IRmGoa298cR4W12VtUM8EiMhDgAAAKA0SIijYg11ZLovZc/4BUfsqE/vPd3xWlJ6FTo7xAEAAAAAxbalJ6iP/vw/OvT/PlbW8zAMw1E07ugQDw9vh3gqs0N8W29IfaGo9f3a6u0JcWJxAAAAAKUxspJfoIiGmhBP7RCv8rrlT3xtMJKsfk9NgIcZ0wYAAAAAKLJV2/rKfQp6d1OPPveb57TzlAbrMWeHeGES4q3WyPSQtiW6w2urPKqt8lrrzqJ0iAMAAAAoERLiqFjmaPN8R6b7UnaI+zwuK5kezLFDnA5xAAAAAEApRaKxtKLuUrjyb29pa29Q/3kv2RW+KcMO8Vr/CEem1yVHplvj0hNj1L3u+M9NcToAAACAUmFkOirWkEem224muFySx+2S3+txvJaUvkOchDgAAAAAoNgMW/43NS4tpy099oR4fId43YhHpvslSR19QW3tDUmSJtTHHzOL2SMV9DsAAAAAMLaREEfFshLieVbNe207xH0et1wue4d4cmS6uUPcHAEXYUwbAAAAAKCEwpHyxKGZCs57gmHrY7NDvKZqhB3i9cmR6VaHeCJJ7rF2iBOLAwAAACgNEuKoWNbI9GF0iJtJdHOHeCjDyPS6xAi4QDiZLAcAAAAAoBjsO7OD0fLEoZkKznsCEevjwnWIxxPi4aihNR0DkqSWWp8kWaPimdYGAAAAoFRIiKNiBYc4Mt3rsXeIxz/2Z9ghbibam2riwbhZAQ8AAAAAQLHYE8D2ou1S8vvS4+teR0Lc7BAfWUK82uexkuprt/dLShal1ye6z/uCkcxfDAAAAAAFRkIcFeHmp1bqN0984Hhs6CPTk8f5UjrE7391vf7w/GpJyZHpZkJ8gIQ4AAAAAKDInJPLyjQyfZAO8d5EkrreP7KR6VJybPqa7fEOcXNtWWNN/LW7AyTEAQAAAJQGCXGUXX8ooiv+9pa+/4+3tb0vZD0eGmKHeJXXuUNckvzeZFX7pfe8LilZlU+HOAAAAACgVEIV0CGeKb4ORWMKRuJx8fb+eEzeXFs14u/VmtgZvrbD2SFuxuJd/eHMXwgAAAAABUZCHGXXPZCsCh+w7fMe6g5xe4e42Rme6WvTE+JUpQMAAAAAisvZIV6ehLgvywQ2s0u8sy+epG5O7PseicbqeAJ8W6LwvcZndojHX7s7QEIcAABgrDEMQxf+4RVdcveycp8K4EBCHGVnD4Lt3drmzQL/sHaIO0em2wXDdIgDAAAAAErLnhAPlqlDPBrLPKq9NxBROBpTT2JkeksBOsRrU/aQ1/njn1sd4gMkxAEAAMaaLT1B/W3Zet390loFwuReUDlIiKPsugfsCfFkt/ZQd4jbK919ifHpfl/6127qCUiSZrfVSpIiMaNs4+oAAAAAAONDsAJGpmfrTO8JRNSZGGHuciWT1iNRW+XcQ16T+Lyxmg5xAACAsaqjP7kWl2ZEVBIS4ig7e1V4b9CWEB/yyPT0DvEqT7Ii3Qzo13fGE+Jz2+ut5wZ4YwYAAAAAFFEljEwPZU2Ih9U1EL952Vjtk8cWXw9XTWqHeJVzZDod4gAAAGNPR689Ic66WlQOEuIoO8fI9GD6yPR8E+KODvHEx+FYMthvq6uSYRha3zkgSZrZWitfYsx6H2/MAAAAAIAisifEy9chnnlkek8wou2JDvGWAuwPl6RanzMhbnaMm8Xq3QPE4QAAAGMNHeKoVN7BDwGKyx4E2xPTQWtkuiftazKxJ8TNMeth200Gr8el7f1h63UnN1WrxudROBrhjRkAAAAAUFSOhHiZOsTDWRLxPYGIzJ7w5gLsD5fSd4jXWh3i8VtR3YGwYjFD7gJ0owMAAKAydPSREEdlokMcZdfl2CE+/A5xr8eV9vHhC9qtoDsUiVnd4RPq/fJ7ParzxwNxRqYDAAAAAIopFE3GneUamZ76fc14uzcQtnaIF6pDvCZlh3idP5EQT+wQN4x4ZzoAAADGDmdCnGs9VA4S4ii7bltCvG8EO8R97uRxHpfL+to/nHdA/PVsCfGpzdWSkjvNGJkOAAAAACgm+7jyYJlGpqd2pk+s90uSfv/sh/r9sx9KklqK1CFuJsirfR75E3F+N3vEAQAAxhR7QpxGRFQSEuIoO8cOcUeHePzj4XSIu2wT18yvD0VjWrs9kRBvqpGUDNB5YwYAAAAAFJN9ZHq5OsQjKTvEzWLxFVv69Pq6LknFG5leZ/vc3CNuv2E6FJFoTOfc/Lx+8I+3h3+CAAAAKDhGpqNSkRBH2XVl6BAfCEX12tpEMF6T37g2+w5xOzMhHozEtGpbnyRp9oQ6SVJtokKdN2YAAAAAQDHZu8JDZeoQNxPxtVUezWyt1dE7T0o7pr3RX5DvVZsyMr3GlhBvTMT5n7j+Kf3ikfeG/NqPv7tFjy3fol8/8cHIThIAAAAFNZQO8VfXdGrf7z+sO59bXezTAkiIo/y6B5Ljys3R5fe/uk4bugKa1lyjYxamB+iZ+Gwd4lLy46pEojwcjWnl1nhCfIcJtZKSFeuMTAcAABi/YjFDZ970vP77T8vKfSoAxrBQBSXEf/Ffe+rxSw7XgskNacdMaaouyPeyd4h73S4rNpeSHeKSdO3Sd4f82lt6gtbHkTJ12wMAACDdUHaIf/L6p7SlJ6hv3ft6sU8LGFpC/Oqrr9a+++6rhoYGtbe365Of/KSWL1/uOCYQCGjJkiVqa2tTfX29Tj75ZG3atMlxzOrVq3XCCSeotrZW7e3tuuSSSxSJkJAcr7b3294gg/GKoTXb+yVJR+/crmqfJ+PXpXK5Mo9MN3eThSL2hHi9JEamAwAAjGWPvL1JF9z5smNFTybvbOzRE+9u0V9eXqtozMh5LAAMl31/d7lGpocSI9OrvG65XC5Nb6lJO2ZSY2ES4vaO8JoqjyNmb6z2ZvqSvNnf1/uCxPMAAACVwpHvCWe/TtvYFbA+ntacfk0KFNqQEuKPP/64lixZomeffVZLly5VOBzWscceq76+PuuYr33ta/rb3/6mu+++W48//rjWr1+vT33qU9bz0WhUJ5xwgkKhkJ5++mndeuutuuWWW/Td7363cD8VRpVN3ck3PrNTu7M/HtwOd3eZvVfcHJkeM2TtEJ9tdYgzMh0AAGCsOvfWF/XAaxt07UPLcx5nT1INVsEOAMMVikRtH5e3Q9xcOTY1w83HyQVKiNs7xOtSxqc35bkaLZutvckbrb28bwMAAFQEwzDyHpn+9oZu6+NCrewBchlSQvzBBx/U2WefrV122UW77767brnlFq1evVovvfSSJKmrq0u/+93v9JOf/ERHHnmk9t57b9188816+umn9eyzz0qS/vWvf+mtt97S7bffrj322EPHH3+8rrrqKl1//fUKhUK5vj3GoEA4qu39ycru/lBUv/3PB7ojsTOiuXZ4QbK9Q9xMiJtqqzyaWB9/g633x4Ny+x5zAAAAjC3vbe7N+bw9McXkIFQiprWNDfb3mmCZOsRTE+Kpe74laXIRRqa31TuL3RtHmBBf1zlgfdwb4O8wAABAJegNRhSOJqeu5WpEXLElGacTh6MURrRDvKurS5LU2toqSXrppZcUDod19NFHW8fstNNOmjlzpp555hlJ0jPPPKNFixZp0qTkXujjjjtO3d3devPNNzN+n2AwqO7ubscfjA2bu4OOz7sHwvre39+2Ph9uQtzOvqdMklpqq6xRbWagb+9SBwAAwNjSM0iypMc+epdAHBWIaW1jg2NkeqQ86xnCiaS8PU6e1VbrOCbftWWDqbEl2xdMcu4qT+0QN4yh/T422BPiQQrcAQAAKoG9O1zKnRD/YGsylhnIMVodKJRhJ8RjsZguuugiHXzwwdp1110lSRs3blRVVZWam5sdx06aNEkbN260jrEnw83nzecyufrqq9XU1GT9mTFjxnBPGxVmY0oi2l7lLQ1/ZLrb1iLu9bjltnWMN9h2lU1JJMTXp3xfAAAAjB09g+wQtyfM+4J0GqLyMK1tbLB3iIei5bnpZ+4Q93mTQfK9Xz5Yx+0yKduXDFutLbE+Z2Kd47nUhPhQi5HWdybvJfSyQxwAAKAipCbEB3KstlmxmQ5xlNawE+JLlizRG2+8obvuuquQ55PRpZdeqq6uLuvPmjVriv49URpmQtxMWNv3gElS8zDHqNlHpkvOsemN1cnXNPelbeiiQxwAAGCsGqxDvDvgXOEDVDqmtY1O9oR42TrEU0amS1JrXZV++tk99ak9p+nG0/cu2PeqsY1Mn9Hq7EK3x+XS4IVLdrGYoa29yWlzjEwHAACoDEPpEF+1zdYhThyOEhhWQvyCCy7QAw88oMcee0zTp0+3Hp88ebJCoZA6Ozsdx2/atEmTJ0+2jkndY2Z+bh6Tyu/3q7Gx0fEHY8OmRCJ6VltdxueH2yHukjMjbh8H11iT7BCf3BjvEN/YFVAsNrwbEn9dtl6X3L1MwQhv2gAAAJVo8JHpyef7c1SwA5WAaW2jV9DRIV7mHeJu5+2gmiqPfvLZPbR418z3ZYbDbytM32Vqk+O51B3i3QP5v/d2DYQVscXvjEwHAACoDGkd4llGoRuG4WiOZGQ6SmFICXHDMHTBBRfo3nvv1aOPPqoddtjB8fzee+8tn8+nRx55xHps+fLlWr16tQ488EBJ0oEHHqjXX39dmzdvto5ZunSpGhsbtXDhwpH8LBiFPtgaH4uRurPM1DLcHeI5OsQbbJXok5uq5XLFb0Zs6xvemMCv/OEV3f3SWt369KphfT0AAACKa7DEEx3iGE2Y1jZ62d+L7N3ipWQlxL2uQY4cOZfLpf93xt768Wd217z2esdz9X6v4/OhdIhvsXWHS4xMBwAAqBRmQrw2MSkoW3zdF4oqaitwjMQM6zoVKBbv4IckLVmyRHfeeafuv/9+NTQ0WFXkTU1NqqmpUVNTk84991xdfPHFam1tVWNjoy688EIdeOCBOuCAAyRJxx57rBYuXKgzzjhD11xzjTZu3KjvfOc7WrJkifx+f+F/QlSsWMzQw2/HCyOOWNCufy/fknZMQ/UwR6anfO7oELftEPd53JpY79fmnqA2dA1oYsPQ/g4aRvJN+6UPtw/rXAEAAFBe7BDHaGFOa3viiSeyTmuzd4mnTmt7/vnnHa+Xz7Q24vTCCZW5Q9wwDIXNHeKeYW/QG5Ljdsmv47w7z4R4MBLVb//zgeMxRqYDAABUho7+eEJ8dlud3trQre39mZsQOxOPu12SmRfvD0XVVFOaa1SMT0P623XDDTeoq6tLhx9+uKZMmWL9+eMf/2gdc9111+ljH/uYTj75ZB166KGaPHmy7rnnHut5j8ejBx54QB6PRwceeKBOP/10nXnmmbryyisL91NhVFi2tlNbeoJq8Ht1xIL2jMd43IWpWs/WIS5JMxO7zFZu7dNQddsC77XbB4Z5dgAAACi2XN2YzpHpdBqi8jCtbfSLRGPa3JPsbC5Hh7iZDJdKlxDPZsdJzo7xlz/szOvrbnpylf704lrHY32sugAAAKgIXf3xIkfzWm9rj3Oyz6bugFZt7VNn4rgJ9X4rBxRgbDqKbEgd4vZu2Gyqq6t1/fXX6/rrr896zKxZs/SPf/xjKN8aY9CqbfEE9KLpTWqoHtJfxUG5XCk7xL2Zd4hL0vzJDXrxw+16Z2OPPjHE77OlJ2B9/N7mXsVihtwFSuIDAABgZDxulzWGrWsgnHUakH1UL4kVVCKmtY1+a7YPOJLg2bplisk+hrKqzAnxSY3V+udXD9GXbn9Jq7b165ePva9T9pmhmVnWqZn+umx92mM9dIgDAABUhJ7ExLXZbXWS4g2FwUhUfq9HsZihA65+RIYh3XDaXpKkltoq9Yei6g1GKE5H0TF/AGWzrTd+A6Ct3i+/z/lX8ZAdJ+ihiw4d9mvvNbPZ8XmuDvGdJzdIkv7+2gYtueNlLd/Yk/f32dztrPAvx9g7AAAApIvFDMdOslz7yOzJlAGCcFQgprWNfu9v7pUkmbXb5ZgwFnF0iJe/kHvnKY06bP5E6/PVHf2Dfk1bXVXaY72sugAAAKgI5iqbaS018iYaB6/+xzsKR2P6YGufzJ5bc/1sU41PNYl948TiKLbCtuUCQ2BWxLfVVaVVp//XfjO1IJGoHoqHLz5Uz6zYpv/ab6bjcecOcWdCfKcpjZLiwffqjn69ub5L/77kiLy+3yZbh7gU3wNX7fMM+bwBAABQWOGYMwFuTwSl6h6wdYgHCcJReZjWNvqZCfHD50/UY8u3qKMvpP5QRLVVpbstYxZwu1yFW082Ul86fJ5ufeZDSVJ/HhM6ugbSd433kRAHAACoCOZ1WWO1V231VdrUHdQtT6/S7jOaZA/R301cGzfV+lTTnUiIMzIdRUaHOMqmoy+eEG+prZLX47YqhiSpzj+8mwLz2ht0xoGz5U1JsDs7xFNGpk9yJt5XbRu8Kt1k7xCXyrMHDgAAAOnCKQnw1AS5KRiJ6kPb9V8+CRkAGKqVW+M3/faY0WLFpOtK3CVuTsrwedxpa8bKZXJTtQ6a2yYpv5uga7cn368/s/d0SfH3cQAAAJSfObmn3u9TU02yMXFTd1Cvrum0Pn97Q7ckqbnGp1o6xFEiJMRRNubI9Nb6+Mgzvy1pXVdV2C5rn71DvMbZId5U41NLbfKxxiHsM9+UkhDPNYoTAAAApRNOKVS0j0+3e2Ndl2PtTR9BOIAiGAjH32caa7ya1lwjSVrbWaaEeIV0h5vMm6CD7Y3sC0a0vT/eIf6fbxyho3ZulyQFw8ThAAAAlcBcR1Zf7bUaIqX4lGBzYpIkbemJ51Waa33WxF06xFFsJMRRNvaR6ZLkt40aL/TYuNfXdVkf79BWl/b8jNZa6+Pm2vSdZNms2NLr+JwOcQAAgMqQWqj42tqujMWLL67a7vh8gA5xAEUQSbz/eN0uTW+JJ8RL3SFuxqv2CWqVoCYR/w/WFbQ+UUDQWO3VjNZa+b3xewhB4nAAAICKkOwQ92prbzIhHojEMq6+aa6tUo3PLI4kFkdxVVYUhHFlm21kupTSIe4vbIf4KfvMkCR97ej5aqr1pT0/pana+rglw/PZmKM9TCTEAQAAKkNqguTrdy/T1+9elnacObZtl6mNktghDqA4IokpFR63W5Ma4/Hn5p5gri8puGClJsR98fMZrCtoS2/899We+P2Z9xAYmQ4AAFB+hmFYO8Qbqr0688BZ1nPBcFTdgfSEeBMj01FClRUFoWTuen61zvjdc+rJ8CZUKubIjLbEyHT7WPNCd4j/97HztfRrh+qrR++Y8flqW3d6vvvLt/UGrRsY5oj3ECPTAQAAKkKmbvD7X12f9tib6+MFjvvvEN9hS1U6gGIw1zZ43S4r5gyUeCxkpSbEzfh/sPff7X3x+xetKVPm6BAHAAAov2AkZhWB1vm9+ubindRQnbzu7c7QIb5gcoNqE9fGf3pxjWJZVp0BhVBZURBK5n/ueV3/eW+rfvHo+2X5/pFockSG2SFuKPlmV+gOcb/Xox0nNWR93utO/lPIN5i+/dnVkqRZbbXWmHU6xAEAACpDOJo7kP7Wva/ryGv/rdUd/ZKkfWe3SGKHOIDiMG8Oej2u5J7EEr/fWCPTPZV1K6gmzx3iHYm1a60pU+bYIQ4AAFB+5v5wl0uq9XlU5/fqU3tOkxSfBGSOU7dbNK1Jp+47Qy6X9PLqTj3zwbaSnjPGl8qKglByqSO/S6U7EJGRuEdpjiiP2m5aVnsLmxAfzNkHzbY+zqdKf1tvUNc9/K4k6aidJlmBOAlxAACAypCpQ9y0vnNAdz63Wh9s6ZMkTWuu0dTm+E7f/gxBOgCMlLlD3ON2WWMhB0sAF5o50ayqxPH2YGoTBQKDxeIdiT2ULYkO8erEqPUAI9MBAADKztofXuWV2+2SlJzMu603JLP5u8E2obfa59HB8yboE7tPlSQ98d6WEp4xxhsS4uPcus6BsnxfczdYlcctb6I6PWokE+LmG2apLJrepB9/ZndJ+SXEt/cnx3tc+tGdrJFzg3UiAQAAoDRyTf158I2Njs93ntJgTSjqL/EIYwDjg9Uh7narJs8EcKGZBdz+ChuZnm+H+HazQ7wuXlTvTyT26RAHAAAov95Eh3h9dTLhba642ZJYPVvldeu3Z+2jGp9HPzhpkXXcYQsmSpKefG9rqU4X41BhFzVj1FlfpoS4Gfj7fclAPFrm/RBzJ9ZJkgJ5BNPmaLspTdXyedzW/vNQlBuoAAAAlSBXh/jzKzscn+8woS65wzbI9RyAwovaRqYnE8ClnUgRqtAd4pkS4n3BiB55Z7MOXzBRf3phjXaf0ayOvkSHeOrI9EhUhmHI5SptYT0AAACSrA5xRwd4/HptcyIh3ljt0/5z2vT2VYsdX7vfDm2SpHc29igWM0reMInxgYT4OJdP8rc43zce6JojM6RkxXy5mEF4MI9xa2aHu1nZX8XIdAAAgIqSKyG+uSfg+HxmW53qEgnxUDSmUCRWcQkjAKNbskPcZcWRA6XuEE8UcFdah7g5Qt6+U/1/739D97y8znHcR+ZNkCS11ZsJ8fjXxYz479fn4cYpAABAuZgJ8Tp7QjxxvWbG4I3VmVOS7Q1+SfEi0u39IbXV+4t5qoPa0hPUzx95Tx/bbYr2n9NW1nNB4VRWFISyKHVVupRMxFfbO8TLPG7cfHPOp0jA/J2ZSfQqq0OckekAAACVIFdCfGtiD61pdlutdV0nOZMy5RaJxqzdwwBGr0w7xEv9XmN1iHsq61ZQjS9+Y9ReIJCaDJeU3iFuu5+Qa00GAAAAiq8vY4e4c2R6Q40v49f6PG611sWv8bb0Bot5moMyDENH/Pjf+v2zH+r/PrS8rOeCwqqsKAglY6+c7h4ofUI8aHaIeyunQ7x6CHvcAikd4j46xAEAACpKrusyMxg3zW6rU5XXbV0j94dLf32cSSxm6GO/eFLH/vSJsq8XAjAy0Qw7xEveIT6KRqZnktwh7hyZLiXvMQAAAKA8+kJmh3gy52M2RJrhbLYOcUmamOgKT43XS219V8Dqdn9lTWdZzwWFVVlREEoiFjMUtnUy9wTCJT+HQCR9ZHq5b/KZb86RmDFoF44ZqKd1iJMQBwAAqAjZJvf0BSNpSagpTdWSZO0R76uQPeI9wYje2dijD7b0aVN3YPAvAFCxIhl3iJf2vSZYoQnxZMd87mKkDV3x90GzQ9zlclk/Cx3iAAAA5dWfiKPNuFpKrrgxNWbpEJekiQ2VkRC3X5PWVXlyHInRprKiIJREKCXZ2x0o38j0GscO8fIGsPbkfGCQYDp1h7hZmZ5rNCcAAABKJ5zles4Mrqt9bn167+m65LgF8iaKG81g96anVipWAR3Z9iJNkj3A6Gb+e/a6kwnxfKaTFZJ5L6DyRqYPrWPevFkqJWNx3iMBAADKy+wQr61K7xA3NVZnT4hPqI8XPW4t88h0+0rd7kCEJsgxJPt8AoxZqUnbcnSIm7vS7Du/yn3P0T5ubSAUdey6SDWQ0iFujtfkzREAAKAyZCtUXNc5IElqb6jWjz+zu+M589ruzudWa2Zrrb542NzinuQg7Akecx8bgNHJ7BD3uF2qTezMLnmHeLiyO8Tz+X001fgcxex+r0c9ipS8uAAAAABOZs7EmRBP7RDPMTK9UjrEU64rt/UFNaWppkxng0KqrCgIJZGatO0pR4d4hpHpx+86WZK0+4zmkp+PFB+3ZibFBwumU9/czRsKqd33AAAAKD3DMPTHF9dkfG5NR78kZ4ehyT7a7ccPLZdhlLdi037d3ktCHBjV7DvEq6vi8eNAOFrS9xmrQ7zCEuI11sj0eJyda0LHpEbnezcd4gAAAJUh2SGejKuH0iFeKQnx1NzQ1p5Qmc4EhUaH+DiUmrQtS0I8UZluT4j/8OTddODcNn100ZSSn4+p2udRMBJTMJI5IW4Yhlwul1UlZJ6/lRAnCAcAACi7/7y3Va+s7sz43Nrt8Q7xtrqqtOfsgW8kZqg3GFFDjoC92OzX7eW4ZgdQOPYd4uZNQsOIJ3JTO2eKJVSpO8QTHfORmKFQJGYlxjNpb6h2fG5OnQvSIQ4AAFBW5g7xOr9zmo9dY/XgHeIbugL63G+eVWO1TzecvpdcLlcRzja71GvRrX3lTdCjcEiIj0PpHeKlH5lu3mystgXiTTU+nXng7JKfi121z62uAeeeCNOFf3hFb67r0t8u/Ig1yq3WGplOhzgAAECl+HBbX9bnzH1kmRLd2/qcld99wWhZE+LBsL1DvPTX7AAKx7FD3JYAHwhFS54QT70xWW41trGaA+GoOvqzd+G0p0z3qE78LHSIAwAAlFe/tWbW3iGeOjI9R4d4fbzw8bmVHdZjnf1htWQoZi+mQMp15dYyd6yjcCqrLBglUQkj083qbXvgWwnMN+hMI9P/tmy9Ptjap3+8vsF6voYOcQAAgIqTq4J8a2880VKb4Tq0IzUhHipvV3Yomrwm7aVDHBjV7DvEPW6XFUP2l7CzOZkQr6xbQT5P/HcixQsEUt+L7Samjkz3MTIdAACgEpjxc51jh3j+I9MnNKQnvtds7y/Q2eUvkNIhvqWXhPhYUVlREEoiNVAsS4d4JH1keiUwq8tTO8TtI9Q3dAWskelmtZM/0SEepkMcAACg7LoGsl/fdiTGnWVKiKfqK/Pebvt1ezcJcWBUM3eIm9PFzOLqXOPBC83aIe6prFtBLpdLtYnfR38oou4c9yjSRqZbO8QZmQ4AAFBOyam6uTrEc4xMr/enPbamY6BAZ5e/QMp15YrN2SfQYXSprCgIJVEZO8TTR6ZXArNiKbVD3H5TdWN3IDn+w5cyMp2qdAAAgLKzX7st3mWy47nt/fHnMk0quuCIeY7Pe4MRvfRhh55+f2sRznJw9mvL3jIn5wGMjL1DXEoW5ZQ0IV6hO8Sl5HtyfyiqcEpcbR/6MWdineM5c/x7MMPaMwAAAJRO6ppZKUNCPEeHeEttlXWtbFrdUfoOcfP6vCkx3v3N9V0lPwcUR+VFQSi61KRtObpNzDcVf6V1iJsj01OqgLptN1VXbO61Eubmmzsj0wEAACpHVyLp/fVj52tGa43juW292TvEv3bMfD140SFaNK1JkvThtn6dfMMz+txvnyvLVCV7hzgj04HRzb5DXEoWV/eXcDVDsIIT4uZ7ciActYr4Z7XV6sbT99JeM1us4w6a2+b4umSHOLE4AABAOZnXtXV+W0Lc63YUN+baIe52u2QYhuOxcoxMN6cD7zMrfg36ni0fhNGt8qIgFF1q0nZTd6Dk51CxI9N9mUem27uMnlvZof+8t9VxvJUQZ2Q6AABA2ZnXbk01PnlTRgObxaD2MW4mj9ulnSY3qqE6/tzvnlxpPZdrp22x2K/by5GQB1AYsZihRIO41fXSkLgZWMoC9UodmS4lY+v+UNRaRTaztVaLd52iT+wxVZK03+xWqyPc5PclE+kAAAAon75g+sh0r8ftGIVuxtrZxJz5cK0pQ4e4mRuaPaFObXVVisYMvbupp+TngcKrvCgIRZeaEH99XZcefmtTSc/BGpnuq6y/gplGpgfCUXX2Z74BaVax20emb+8L6ZifPK7rlr5b5LMFAABAJmZCvLHGZ3Vjpsq1Q7zOHw/S39/caz1WjjVDjEwHxoaordPFLNJpqY0nxLf3l67YJpSYhFbJHeLxkenOfeun7jtTvz1zH9127n7pX5dIiPfxHgkAAFBWAyGz+NwZa09uqrY+rhlig+Tm7uDIT2yIzNxQjc+jHSbE1/Ws3V76XeYovMqLglB0ZlX4vrNbdOj8iZKkf721saTnYH9TqSTVKdXl2/tC2v8Hj+jcW1/MeLw57sPeIX7vK+v03uZe/eyR94p/wgAAAEjj6BB3Zw55ciXE6/3pVevlSIgHHR3iJHuA0SoStSXEE0U6zYkO8a4sxdfFUNkj0+PvuwPhiHXPwueJ/66qvG4dvXBSxglz7Y3xjqMN3QFd+be3dMAPHtHTK7aW6KwBAAAgxSci9YfTO8QlaVJjMiHucmUuWDfNaquVlNzfvbW3fAnxap/butbcXIYpyyi8youCUHQhWxD8sd2mSJI2lbjSJhiu0JHpXmdC/PV1XY5x6akWTGqQlNxbFo7GHDsytvSU/g0bAABgvHOOTM8ccNdkGJlusl/Pmcoxstzs5pTiFemp+9QAjA6RWLK4xRyZ3lxbJanUHeKVmxCvSRQpDYRi1sj0Ku/g9wvaG+I3Ke98brVuemqlNnYH9MBrG4p3ogAAAEgTiERlhqup8fSMltq8X+d3Z+2jMw+cpTu+sL8kqaM/pEiJ19QOWAlxj9ob4sn8TeR5xoTKi4JQdPa9YWZ1Tqn3iAcilT4yPf47ynYDVZJu+/x+ak/8/qpsI9Pt78/LN7JbAgAAoNS6bQlxX5bruZwj0zMky8syMt12Ybmuc0Avr95e8nMAMHJR2zJEnzUy3UyID6/YJhKNqXOIyXQzIe6vwB3iNdYO8YiVEM/2/m3Xbus4Mr3HjkcAAICSMveHS8mmQ9OXDp+rqU3VOv/QOYO+zrz2Bl35iV2185RGuVySYcST4qUUsCXEy5U/Q3FUXhSEorNXhU8yRz6UuMLFelPJo+K7lFJHpqfuW7dbNK3J+rg2MVazNxh17C57Z2N3MU4TAAAAWURjhnoS12NNNT55soxMz7W6p842Mn1Cffx6uRw7vFOvRW/49wclPwcAIxexJcQTDeJqTuwQ7xoY3g2+8257Ufv94BGt78x/n6FZZOOvsMJ0KVmkNBCKJu9Z5JG4NzvE7ZZv7GGiBgAAQAkNhJIrct1uZ1HjxAa/nvqfI/Wtj+6c9+t53C61JgpIt/WWNiE+kGiWrPF5rGtNJgGPDZUXBaHokglxjyYlRj509IUUtI1kLLZwYodapY1q85sJ8cTvIpgjIW7usZCS+986+0PWDVhJWrm1rxinCQAAgCz6Q8lrsTq/V9kaDHN1iNufmz+pXlJ5Rqab16IHzGmV1+3Sw29v0ksfdpT8PACMjLlD3Ot2WXsTzYT49r6hv7dEojE9tnyLQpGY/vF6/uPBk4nmyipMl5Ij069d+q6Wre2SlOymz8XeIT6hvkoet0vdgUjJi/4BAADGswFrf3jm68zBdodnYhanl3qPeCBEh/hYVVnZSJSEfWR6c63PqrouZZWLGYjnE+CWUurI9Fwd4vZKJ3PcXWd/2NEhXsp9cAAAAEgG4m6X5M9RfGnvAk9lFm9K0rx2MyFevg7xXac26cC5bZKklVv7S34eAEbG3CHuyRBDDidmXLUt+T4wlCLzSt4hbr95uvStTZLyu18wsT7ZIb7b9GbNaovvqGR9GQAAQOmYhenVOSaxDdWEhvj18hm/e75kheE9gbCeXxX/XjVVbrUnJixv6qbYciyovCgIRWcPgl0uV1n+USd3glXWX0FzhHvqyPQ5E+v0rY/upB0TN0RTNSWq+wfCUW2zVSwNp9ofAAAAwxcIxa/fqn0euVwu2Yfm2vfR1uToEO8aSF7DtdbFg/CeMoxMNzvE/T63GhMTicrRqQ5gZMwd4vb41+wQ7xzGDnF7snfzEOL4Sk6IZ1pj4fMO3klk/1kWTG7QgkkNkqR32SMOAABQMubI9FyT2IaqeyAZg3/h1hetnFIxXbf0Pevjam9yZHrXQNjKGWVyx3Mf6sq/vVWSc8TwVV4UhKIzg2CzY2ZyYuzD5hKOfTDfGKryCHBLKblDPNEhnjjPORPqdP6hc7Mm8BurvVa1/zrbDjc6xAEAAErLXH1jJldsq3s1r73B+rg2R+X6njObrY8bqs1EdPkS4lUejxoSHe2DncdAKKrtfVyDApXEnDqRqUO8cxg7xN/Z2G19vHEIcXwwWsEJ8ar0qR3+PAvozz5otuZOrNN5h8zRjiTEAQAASm6wkenDceRO7dbH2/vD6g8Wf+Xvw29vsj5urPGpqcYnb+IaviNLnB2LGfr2vW/opqdW6s7nVhf9HDF8lRcFoehCVnd2/B/ySPcgbOoO6LF3NsswjMEPTjBvCFRah3hNVfx8gpGoXl/bZY0/9yc6x7/10Z0lSV/4yA6Or3O5XNZO8bXbSYgDAACUy4Bt31cq+7Qfb47r0GMXTtL1n9tLj19yuJWI/tuy9Xr83S0FPtvc7N2cDdVmQjx3N+n/uf0lHfTDR7XeVqQJoLzMDnGvLSHeVh9PiAfCMXUNsUvcXoSdbxxvGIZth3hlxeGSHKvHTPneL7j8xF30yH8frta6KluHeG9Bzw8AAADZ9eeIw4fr3EN20E8/u4f1eagE3ddGYsbcEQsmapepjXK5XNZ1+7bezLmeLbaJwX94noR4Jau8KAhFF0xU65hJXmtk+jB3iC/+6RM655YX9NCbmwY/OMF888p1I7IczJHp/3lvqz7+yyd1/WPvS0pW0H9kxwl65X+P0bdP2Dnta82Rdxu6kjcktveFh1QoAAAAgJExx5hV++LXb/ZrsTkT6/J6DZfLpRN2m6JZbXVWIlqSzrrpeQUjxa9Kl+LJob+8vFZSfLKT2anem2N0+9beoJ54d4sGwlH9e3lpk/cAsjN3iHttaxtqq7zWtLYVW4eWvLV3x+SbEDeL0qXK7BDf2pt+P8I3jPOcPyle+PTeph7FYsTiAAAApVCMDvHGap8+uec069q12OPIozFDGzrj19Y/+NQiuVzxa/e2unj+bGtfUBu7Ajrl/z2jG/69wvq6NR391sfvbOzR5p7STWLG0FReFISi600Ez/WJm3tWh3jX8P6hbk9Usz/+7ua8jjcMw7ZDvDJHppvMn81eQd9SV2W9Gdo1JzrE7ULRmFUdBQAAgOIzA/FMO8I/vfd0SdLes1ryfr3qlNd57J3SJJq/fe/r1sdVXrfqE53q3TlGpj/1/lbr4+GMYQZQHMkOcectmLnt8SKdFZuHlhDvCyXfBzbmGcfbi3n8FZgQP/PAWWnnNZyJcrMn1KnK61ZfKKo12/sH/wIAAACMmDmpLVMcPlJmbqbYCfFN3QFFYoa8bpfaG6qtx80O8a09QX3pjpf0/MoO/ejBd9SZmA68usN5zfnMim1FPU8MX+VFQSi63mA8yWveVJtkdYgPPSFufxMyO84HE40ZMht1Km1Um9+X+XzyqaCPZik+z7ZbAgAAAIVndYgnrk3tw3qmt9TqhW8frTu+sH/er3fQ3DYdu3CS9Xn3wNBGGw/Xfa+utz52jkzPnhB/bmWH9fHqbSSCgEqRaYe4JM2ZEO9m/mBr35Bezz5evDsQsW7G5WKOS5cqLw6XpHntDVp22bHadVqj9VjVMArofR63NTb9rfXdgxwNAACAQjCbAmt83kGOHDpzylKxE+LmKtypzTWO6/YJ9fH82f2vrtcrqzutx+97ZZ0kaU2Hc13Zsx+QEK9UlRcFoejMMYvmTbVJDeYO8aGPTLePZ3Nn6JrOxD6qrdJ2iGfbcZFPQnz5xszBducQ98EBAABg+ALheJBsVqabO8BMExv8Q9pr5vd69Osz99HiXSZLkoIl2FuWfg62kek5dohvta1A+pCEOFAxMu0Ql6S5E50d4v9evlnrO5031DJJnUL2fh4d5tbaMrdLbndlTWozVfs8VuG+NPzR7gunxJPqb20gIQ4AAFAKxRiZbjJzSKFIcdfhrOuMx9DTmmscj7fVxTvEn0xMZDPTYOYKYXMq0ay2WknOlbqoLJWVjURJ9Ca6Suqq4oFmuzkyPc/dY3brO5Nfk09VuiSFY8mbiBWXEM/S5Z7PSLljFk52fN6UGKHekefvBQAAACNnBuL+DB3iI2Husg1Hip8Q70lJencNhB0d4h9s6dXvnlyZViHfZeteTx3bBqB8Mu0Ql6RZE+IJ8TXbB/Tm+i6dffMLOuiHj2rtIKO+zZHpjYn3hXc35ZEQT7x3VeK4dDvzPoU0/PsFC6fGE+Jv0iEOAABQEgOJ69PRPDJ9W288jzOxwe94vK3e+flPTtldkvTCqg71BMJWQev8xJQi+zQnVJbKjoRQFD2Jf5DJHeLxf9A9gYj6E29cf3phjV5c1ZH5BWzMqhlJ2pbnaHD7TcTK2yE+/JHpl318ob58+Fzr8zmJav98KvwBAABQGKm7y6amVHcPl3ndGipBh/iKLc7xyY3VPkdC/P/8/iVd9cBbuuyvbzqOsyfE13cNKBYrbgU9gPyYHeKelB3i7YmbbVt6Atpsm9j2+2c+zPl6fcH4+9weM1skSe9t7hn0HMyE+HC7rkulzj/yhPjM1nh3znCK/gEAADB0ZmF6zRCmseXLjMUjseLG4uZ6tMYa59h3c4e46SPzJmqHCXWKxAw9+0GHdc05rz2+DinXmjOUV+EH+qPimRUq5iiyer9XPo9L4aihroGw3ljXrW/85TVJ0qofnpDztewd4vnuyjZHpvs8LrnyHLNeKiMZmT6h3q9vLN5JO0yoUzhq6MOOPr2yulOvre3Sf+1X6DMFAABAJoGIGYjHr99OWDRF72zs1t6zWkb0uv4Sdoiv254sqLzo6B11wm5TrH1mvcGINiYC7jufW60fnLTIOta+qscw4oWw5tQiAOUTiWYemT4pMa1tW1/IMQZ9sLVbZky/x4xmPfHulrxGpgdHTUI8GZMPNyFuvl+HSvB+DQAAANsO8VE8Mr07kchOjaHNa3YpnvCfUF+lPWc2a+XWPi3f2G0Vts6bGE+I99IhXrFIiI9D5sh0s8vE5XKpxudROBpRXzCqVVv7cn25wxbbnsL8E+LxoLTSxqVLORLiQzjXz+wzQ5L0j9c3SJJeX9c54vMCAABAfgKJQNy8rnO7XbrkuJ1G/LpWEF6CDnFzHPIRCybqoqPnS0oWs6YG1w+8tl4f222qJKlzwHk93j0QJiEOVICI1SHuTIi31lbJ63YpEjMck8Vyvc9EojErub0gMZZxfeeAtWqhoTrzv3nzNSs+IV5l3yE+vAJ6v69079cAAABITmor5g7xYo9MNyeupcbQu09vsj6u83vkcrk0N5H8fm1tlzWReW47CfFKV9mREAouGjPUl3hzqreNIjPHkg2EohpK03a3bSxjvgnxUEUnxDOf03D2rO2WeKN8Z0OPAuHoIEcDAACgEAKJRFGhR7VVlTAh3p8IoGtt1+tmMWuqS//yugZCUQXCUQXC8XMzr2m7A7m7TAGURjRmxsDOYNvtdmlCYiehfW94rs7mPlsnubmma13ngPa6aqn2vHKpIlneo6yR6RUYh9vVFmBkepUn/v4fDJMQBwAAKIWijkz3ljch3lybHJm+NbFn3EyIP7NimySprsqjyYlO8t5ARIbB+rJKVNmREArO7DaRkjvEpeQoi/5QRO4hZMTtewoHwlFrB3kuyQ7xyhqXLknVXk/GggC/d+hv5NOaa1TldSsSM7S1Nzj4FwAAAGDEzMp0f4EDcSsIL/KYNimZ8KqzVddX+zxqqXUG5lVet3qCEf3rrY1WoarH7dK0xN707gEq04FKYK4NS+0Ql6T2RjMhnuwQD+ZIiJsxt8/j0ozEruxAOKZw1FAkZqijP3OhenKHeOFvUhZSvW1k+nCT93SIAwAAlFYxR6ZXJfJI5UqIS9Kstvh1t7mKzdoXnihmn9RYba3+icSMnNfzKB8S4uOMOS69yuN2JHlrrYR4VG7b34poLPcNP3tCXJJWbB583Lp5E7ESO8Tdbpde/s4x+n9n7O14fDhj5Vwul6oTXxegMh0AAKAkilWZnuwQL/7kHzPhVVvl7Ap/+n+Ocnx+7kd2kBTfJb5iS/w6vLHaawXwdIgDlcGMq73u9LiyvSE9IZ4rkdsXNMdRelXv9zoKZySpJxBJOT6ixT99Qpfe87qkyh+Zbn/f8w3zXM336yCT2gAAAEqiFCPTQ9HiFqebua7GDCuI/nDeATpt/5n6+X/tKSmeILcXb7Y3+h2rf1KvyVEZKjsSQsGZ+wvq/M43JjPo7A9FHR3iuUa1Sek32d7a0DXoOVTyyHRJaqmr0pSmasdjw71pYO6uZGQ6AABAaQSshHhhrzWrStkhnkh4pV6zp1bbf3afGZKk51Z26L9+86yk+Di3xkRCPLV4FUB5mDvEvRmmpE1siMeeaxwj07PHj2bBjJkIn9TojF1T/93f9+o6vbOxR+sSO8r9FRqHm+yr3egQBwAAGB3MwvTqIoxM95o7xIvcdW1OXWvM0CE+tblG3z9pkTWNzedx6+S9pyefb6qR2+2yrmX72CNekSo7EkLBmQnx+pQdhGblTl8oIpctIR7MEYhLyWD7gDmtkqS3N/QMeg6RCh6ZbkpNgA83EDdvWg72ewQAAEBhBIoUiJdyh7gZPKd2iKeaPaFO+yRGtpmaanxWRXs3CXGgIpg7xL0ZRqZPTRRj99t2g+cqTE8WucffH8yR66bUhPimroDj88rvEE++dw9/h7i5Z9JQbJCpdwAAABi5ZId47hh2OCphZHomXz92vvaa2ayD57Xpi4fPlZQs7uwlIV6RKjsSQsGZI9Pr/c5/1OY4h4FQVIaRDBgH6xA33yQOnDNBkvTW+u5Bz8Hcn1apHeJSegLcP8wOo2qv2SFOZToAAEApmNddhd5dZhZzliIhbibG7J2S2Xz/pEWOz1tqfbaR6QThQCXItUPc3ANul+t9pt8cmZ54f5ic0iFuL4RZu71fP3/0fcfzlZ4Qt7/vDbeI3m8riKJLHAAAoPiKtbpMSuaRwkUsdAyEo9be76ba/BLibfV+3fPlg3XHFw7Q/EkNkpKNqIxMr0yVHQmh4Mxuk9Q9YzW2DvGwbRdDMEdCPBiJWjccd53WKEna3BPIerzJrOSp5EC8UB3i1T5zhzgd4gAAAKVgBuJ+b4E7xBOvN1jBaCH0WTvE03+G1ITagskN+vqx863Pd5verMaaeBBOhzhQGcI51oZNb6lJeyzX+0xf6sj0puwj06/+5ztpX++v4DhcSna+S8O/Z2CP33Pd0wAAAEBh9OeIYUfKV4KR6Wbs7HZJ9SPocq+jQ7yiVXYkhIIzq6NTO57NYHogFLVGmku5g8fugfg/apcrubesL5Q58fvqmk5ddNcr2tgVqPgd4lKGhPgwA3G/jw5xAACAUjJHtRWrQ7zYY9qkZAdoXYYO8Uwdk3Mn1lsfHzxvQnJkeoCEOFAJrKLwjAnxDB3iuQrTE7GluRZierMzod7Vn/x3/9Kq7WlfX8mF6ZJU50++dw+3MN3nccncBMf6MgAAgOKKxYyiTWqTbAnxIsbiZlFpQ7VP7gxTnfLVYCXEicUrUWVHQig4s/vb63b+X1+TqHrpC0Ydbyy5AnHrTcLvtcaaDWRJiH/y+qd036vr9bU/vmqrjq/cHeJ+j/ONe7g3DcybFAN0iAMAAJREIJH8qC5w0se8Hix3h/gPEiPSLzxynvXY/MkN1sd7zGhWozkyfSDC/lygAuRaG9be4E+LjXO9z4RS4ulpKR3m9g7x5gzjHoebZC6Vat/Id4i7XC7r5yzFezYAAMB4FrAVIBZjZHqVt/jF6dv6QpKktrqqEb2OmSdbvrHXmtaMylHZkRAKLtuoNvNm20A4dWR69kSuGWg31visr+8LRRw7yFMtW9uZc1xcpfB5nTckhjtWzrwRy8h0AACA0ggUqUO8qgRV6SZzh3imDvFP7TVdz156lC4+Jjkmfe7Eet1w2l760/85UFVet5oTCfGH396kfb//sDZ2Db7WCEDxWDGwN70o3O12aVpKl3euvdfmRDdv4j1pWrOzw9yeEDffSw6c02Y9Vukd4vaEuNs1/CJ6M4ZnZDoAAEBx9YeKmxA380ihaPGKvTsSCfHWESbE95jZLEm68fEVOvXXz470tFBglR0JoeAiWbqzzYR2fyj/DnFzBGNjtU+1iZt1hpE74OwPRRWOZK+OrxSpVfPD3UFp3oglIQ4AAFAagcS1aKED8VIE4Sazkjzb/rXJTdVypSSKjl80Rfvt0CpJam/0W49v6wvpN//5oEhnCiAfgxWFT2zwOz7PFVObBexmzJqrQ9x8L9lxUnKtQqUnxCfU+/Xpvafr5L2mqylDh3u+qhIxPB3iAAAAxWVODfZ73SMaN55NKUambytQQvzsg2ZrVlu8YPX1dV2Oa3OUX2VHQii4UJZRbbVZRqbnCsSDtr0Q9huOg42CSB3xVom8ntSR8sO7oVqdCMKpSgcAACgNMxivLnBCvKQj0xPX03VV6R3i+WhvqHZ83tlPEA6UU2oSO1Vtyr/1XO8z4Zgznq5PmSRhv+nWm3gv2XlKo/VYpSfEJenHn9ld156y+4hegw5xAACA0jDXxWYr6B4pb+K6N1zE67qO3sTI9PqRJcSrfR7986uHWJ/vfsW/9PSKrSN6TRRO5UdCKKjkeDVnMrrOn3lkes5A3JbY9rhdqvbF/zr1Z9kjbjI7VCq5QzyVOXZyqMzfCR3iAAAAxWcYhhWMFzohXoqqdEmKxQz1mzcU/MP7Gewd4pLUEyAhDpSTGVdni4FTk9qhaCzrKjJz4lpqEbdpa29QUjz2N5PBC+0J8VEUh4+Ev4RFTAAAAOOZmQ9KLfIsFPP6NRIr5sj0+DX0SDvEpfjvYa/E6HRJuuqBt0f8miiM8REJwWLewEsNgs0O79QO8Vy7y1LHvplveIMlxD/c1p/xHCpZtpsNgzFvxJIQBwAAKD57J6BZmFgopeoQD0SiMvNgw+0QT133Y15/AyiPcJbCdFNdSvGLYWS/4Zcppn/44kN10dE7SpJWd/QrEo2pL5iMQedParA+3t4fGsZPMPpUWR3ixOIAAADFlJzSVpx8T3J9WeZYPBYzrB3gw5Ucme4f5Mj8TG+ptT4uVue8JK3a2qfHlm/W+5t7ivY9xpLRk5FEQZjd3+kd4vGbba+u6dR7m3utx3MFj6mBuPkP+wf/eFuX3L1MUVsA782wO2I0dYgPl99ndt4ThAMAABSbvQix4CPTS9QhvvStTZKkupS1RCOxcmuf49ocQGkNtkM8UzdNtuIbc2S6Pcae196grxy5o2p8HoWjhlZ39Ks3FB+XXuVxO1aAbewKDu+HGGXoEAcAACiNgXD8urNYHeLWtLYs13XXPfyu9rpqqc695YVhX/uZCfW2AnSIS8682oQRjmHP5e+vb9A5N7+gXz/xQdG+x1gy9jOScMgWiM9rr7c+Nm/CSbmDx9R95GZC/PF3t+jul9bqqfeTuxEyVcH4vJW7Q9zOkyGZn6/kyHSCcAAAgGIzixB9HlfBiy9L1SH+2/+slCT9n8Pmyj2C61C7UDRm7RIGUHqD7RBPHZku5UiIJ0am+1J2gbvdLs2ZWCdJWrGlT32Jf/OpqxcyFauPReakDBLiAAAAxTUQil9vFaqgO5XP3CGeoTg9GjN053OrJUmPvLNZ727K3Sl98Z9e1RdufTFtPVGH1SFemOT1EQvarY+7Boq3wmygyOPqxxoS4uOMOXYtNRCf1Fit/z5mftrxwVw7xM09aF7nyHTTm+u7rY8zrT8bLR3idSMYaVHDyHQAAICSMYsQq72FD8TNIDzXSqFsO3+HwhxnfMiOE0b0Oqk5r/4QCXGgXJKF6dlGpmdIiGd5r4nEsnebz50YL3RfsaXXSoibqxduPH1v7TmzWf9z/E5DPPvRKTkynYQ4AABAMZmxZk2RRoOb13VmkandK6u3W+POJVnXwJls6g7onpfX6eG3N2ljd8DxXKET4p/dd4Y+vfd0SVJnf/ES4v3WuPrijWUfS0ZHRhIFY1ZHZ9pdNmdifdpjuaqpU4P61C7wF1d1WB8HMoxeHy07xDNV6+cruUOcIBwAAKDYrN1lRQjEfYOMTF+5tU/7/+AR/erf74/o+5jX31XekV0r/+G8A7TXzGbr81w3BgAUlxU7Z/l3Xe9Pf8/K2iFuvlaGTu8dJsQ7xD/c1mftEDfj2cW7Tta9Xz5YsxPHjHWZRqZHojFd/MdXdcdzH5brtAAAAMYcc1JbsXZl59oh/srqTsfnZoI4k2VrOrMe1x2IJ62banzDPEsnl8ulsw6cLSlZ9F4MyXH1JMTzMToykiiYXNXkLbXp/9hzdoin7RB3Jo7f3hDvEI9EY1b1zk8/u4f1fHdgdNyUqx1RQtysSqdDHAAAoNjMIkzzGqyQBttHe+vTq7S5J6hrHlw+ou9jXn/7R5gQ339Om+758sGa1lwjSeoNcj0KlEs4Zd1YqkwjDrPF4qEsI9MlaUpTtSRpY1fAWpNQlyHZPh4kO8ST731/e2297nllnb597xvlOi0AAIAxxyxML97I9OzF6Zt7nJ3efTkmo72+rit5nK1gPByNWQ2NDdWFGz3enMi3be8PF2SaXCb9oeIWI4w1JMTHGWvfWIZAvLk2fRxEroS4uUO8yhqZ7vxH15N4UwnYXmPxrpOtj7uLuDuhkDKNr8uXOa6TkekAAADFFyhiIG5eP8eM+J6yVPbAeSQ7wkJWQrwwP4OZDBst197AWJRaTJ4q48j0LLG4WeSeaRf4JDMh3h1MjkwfQTw7mmUamb6+M5DtcAAAAAyTmZQt1sh0+w7x1MTy5p6g81xyFILbE+K9toR4r61xcyTTglOZ49dDkVjOzvWRKPbvfqwhIT7OhGPZd5e11KV3iOc3Mj3+1yi18rwvGJFhGI5ksN/r1l3nH6B9ZrXooqN3HPoPUAYNjEwHAAAYFcxRbcVIiNtHmGe6RvbYklNv2ALtoTLHwI10ZLrJTIadedPzeuC19QV5TQBDk2t1mZT5xlu2HeLhHO8RyQ7xAa3vHMj62uOBP0NCPGi7N0HROgAAQGEUMw6Xkvmnp97fpn2//7A+3NZnPbe525kQz9UhvrU3eey67QN6esVWxWKGehIJ8RqfR94CrvmtrfJYBbHFGpseKPLvfqwhIT7OmKPavO5MI9MzdYhnDxLDEWdCvMbnDLRjRvzN0ByZ4fe65XK5dMCcNv35Swdpx0kNw/shSuSS4xaosdqry09cOOzX8CfGdQ4QbAMAABSdWYToL2KHuJQ5UdVjqyofbkI8Eo1Z3ecjHZlusifDLrjzlYK8JoChSS0mT1U7pB3i2ae+TW6MJ8S394d17dJ3JY3fhHhVhjUX9tURTM0AAAAojIEij+22X/du7Q3ppidXWp+bI9NnttZKyr1D3N4JfsmfX9PnfvOcHnpzo3qC8evCQo5Ll+J7xM2x6Z39xbn2ZGT60JAQH2ciZiCe4QZbtc+Ttm8xnw7xqkSVe6Z/dL3BiJVUH21jG5YcMU+vfvdYzWsffuK+wR9/wyPYBgAAKL5iVqbbJyxlukbuCSSv97akjG3Llz3RXrAO8Qy7iYeisz+kU258Rnc9v7og5wOMR2YSO9vIdHvS2oyrsyfEs49Mb6rxpcX0p+43c+gnPAaYayfsHeKbbDsmR7LaAgAAAElmUra6yCPTTY01yUnH5sj02RPqJDl3g6fqzfDc0rc2WcXthU6IS8km1KF2iK/e1q9jfvK4bnx8Rc7jkiPTx2cR7FCREB9nrMr0DMGzJDXXOLvE89khblboHDp/oiY3VutLh8+1AvreQMTq1Kku0B7EUnJn+T3la0pzvEJ/S28wZ3EBAAAARs4cF5aaECoEl8tlJbMydYjbg+vOQRItvcGInl/ZoVjKLvKgbc1OtsTZUI10f/DPH3lfz6/q0P/c83pBzgcYjwbrELf/OzVj6VA0c3dLrpHpLpfL6hKXpAuPnKe9Z7UM76RHOfP32DWQvPm4qYuEOAAAQKFt64snpdvq0icQF8L0llrH5+b3CYSjVjJ7h7bBO8TtU91M01pqrMfrq9NXCo+U2SG+fYgd4o++s0nvbe7VD//5jp54d0vW4wYSI+LpEM8PZQPjTK7xalL8H+jG7mSQmNcO8UQgvt8OrXr2W0dJku57ZZ16gxHd8vQqvZ4YGVmMG5OVrq2uSlVet0KRmDZ1BzSjtXbwLwIAAMCwFHt/lt/rVigas1YH2dmD68ESLeff9qKeXrFN5x2ygx59Z7MuOHKeTtpzupVo97hdBdtdVpdhFPNQbOkdXrc7gKRkQjxzwXWt7T0r06hv52tlX4MmSfPa67VqW78kjdtkuCRNa66RJK3vTN7fsN/rICEOAAAwMoZhyOVyaVNij3e7rTCzkOYkur9NkURh+abEtV21z21972wd4qFILGPzZygaU29iZHpjETvEO4fYIW5PoL+yulOHzp+Y8bhi728fa8ZfhnKcs8arZQnEU/eIhzN0v6Q+lym5bla43/bMh3pldaek+Ej28cblctkC8QHr8Z5AWGs6+st1WgAAAGPSQKi4q3r8iQLPjd0BGYazu7vbnhAfpPr76RXbJEm/+c9KrdjSp6/9cZmkZAKsUN3h0sg7xIPh7BX2APJjFaZnWYVQb7v5NilxMy8Qjun9zT1pMflgyfX/OX5nNdf61FTjG9cJ8akZ4nD7OgsS4gAAAMN381MrtfsV/9Jrazu1JbGWpr3BX5TvlTrF10xsP/TmRknSgkkN1nSgbB3i2RLlPYFIskN8hLFzJi11iQ7xvqFde3b0JRPoAzli8v4i3wMZa4Z8p+WJJ57Qxz/+cU2dOlUul0v33Xef4/mzzz5bLpfL8Wfx4sWOYzo6OnTaaaepsbFRzc3NOvfcc9Xb2zuiHwT5iQyyu2xiyptWroR48oZdeiCe6c1jPCbEJWlKU/yGxvquZCB+1LWP65BrHtPqbSTFAQAACiUQiQeD/iKt6jFf99RfP6sfPviO9fjPHn5Py9Z0Wp93Dgyt+tsUNM+/gJOValOuwT/c1qcv/v4lx/nmkmk8PIChscacZ4nDfR63/vONI/TEJUdoQn28SP2iP76qo3/yhH74z3ccx0YGSa7Pa6/XIxcfpqVfO1QNRRj7OFpMTawvW985IMMw0rqC/vPeVj34xoZynR4AAMCodsXf3lJ3IKL/ve8Nbe2Nx7+TitQhLklfPGyu9bF5TXfX82skSZ/bf6Y1MrwvlDnxnWl/uCR1D4SLukO8eZg7xM0x9FJyLHomZlMAI9PzM+Q7LX19fdp99911/fXXZz1m8eLF2rBhg/XnD3/4g+P50047TW+++aaWLl2qBx54QE888YTOP//8oZ89hiw0yO6ySY3OhLi5JzyTXB3imRPi43MgwdQMo9o2JyrTH1u+uSznBAAAMBaZY8VGOiY8G78tAfX/Hv/A+vi6h991HDfczsNgETrEo7ZOdp/HpS/f8bIefHOjPn3j0/mdU5iEeCWgMH10G2xSmyTNaK3VzLZa1fudSezfPblS3YHke4oVh2cZmS5JbfX+oo2sHC3MOLwvFFX3QET9KTcS731lnb54+8t6b1NPOU4PAABgTFi5tU+S5HW71FpbnB3iknTJcQu00+QGSfFGzXA0pg8S3/uonSdZk9GydYhn2h9uPp7sEC98MWlLYof4pu6ALv7jqzr4h49qc08g47GRaMyaRGcWGUjZO8RDkZg1Pr7Wx3bsfAz5t3T88cfr+OOPz3mM3+/X5MmTMz739ttv68EHH9QLL7ygffbZR5L0i1/8Qh/96Ef14x//WFOnTk37mmAwqGAwWRHR3d091NNGQiSWOxBPreIJR2Ja09Gvr9z1is79yA762G7J/39COfaRZ0qIj9c9BmYgvs42qs2UrWIJAAAAQ/fa2k5J0sIpTUV5fX+e17Odg4xMz8ZMiBeyQ9zeERmOGnpzfbf1cTbRmCG3K77+hw7xymAWpn/+85/Xpz71qYzHLF68WDfffLP1ud/vLHY+7bTTtGHDBi1dulThcFjnnHOOzj//fN15551FPffx7r1NPdYNrWyF6XaZOlMee2ezPrHHNEn2IvfsyXXEJ9S11VVpW19I6zoH1FiT+fbXii192nFSQ4nPDgAAYPTqsRVrmqvDJjb400abF5LH7dJRO7frnY09Ckai1iocMxFvdkinFkGasnWIb+4J6vF3V0gqToe4uaL4n29stB57+cNOLd7VmT/tCYR11LWPa1ZbrW46e1/HyPRsSX57ory6anw2ow5VUX5L//73v9Xe3q4FCxboS1/6krZt22Y998wzz6i5udlKhkvS0UcfLbfbreeeey7j61199dVqamqy/syYMaMYpz0uhCO5R6anJsQjsZguuPNlvbK6Uxfc+UrKayUC8Qyj2jLtKmyrL84OiUrXVBOvAupN/MchGkvefOwPspMRAACgEPpDEb29Id7pt+fM5qJ8D3+G695YLD2xHIzEFMhRxZ1JNGYUZYd4tvPIJhSJ6djrHteZNz1vfW6KkBwvm+OPP17f+973dNJJJ2U9xixMN/+0tCT3R5uF6b/97W+1//776yMf+Yh+8Ytf6K677tL69etL8SOMS9GYoWOue8L6PJ9/25mKy+27r82R6d4Cvk+MVWZx+prt/VlvJG7sSi9cBwAAQHYfZlgDW6z94XbmCrNgJKZN3cm95W63K9khniXf0hvMXLT+9oZk820xE+J29oIC04otfdrcE9QLq7brZw+/p2299pHpWRLiicc9bldB7yGMZQX/LS1evFi33XabHnnkEf3oRz/S448/ruOPP17RaPz/nI0bN6q9vd3xNV6vV62trdq4cWOml9Sll16qrq4u68+aNWsKfdrjRnJUW+b/6yc3ORPioaihZWu7cr5Wph3imd489pvdOqRzHSvMG6fmzUh7lVK2yiQAAAAMzetruxSNGZrcWG0lQQotU0K8N0sFerax6dke7x4IJ0emF3AH+qf3nj6k499Y36UVW/r0n/e2KmZL0ktSIEsyH5Wh0IXpUnxaW3d3t+MP8vf6OmcsnU+HeH2GWNo+dWKwfeRI2nFSvaT4jc5ssffqDhLiAAAAQ2GOKreb0lScGNzOjMeD4Zi1ktZcEzTYDvFsI9PtFk0r/KS5lrr0MezdGc7FnjNavqnHWgcnZR+Zbn5Nrc8jl4vpUfkoeAR16qmn6sQTT9SiRYv0yU9+Ug888IBeeOEF/fvf/x72a/r9fjU2Njr+YHjCsdzj1SandIh39idHM5j7DqzXyrFDPNPexv3njM+EeHVitKZ5A9Fe0bO9P6TfP7NKP1n6Lh03AAAAI7BqWzwoXzC5eKNvqzOMTO+1BbOLpjVZ18zZxqZnS4hv7w9ZyedMiffh2mVqk5659Ei11eW3z81tC6T7w1FH8J2tMj0QjuqRtzfp1TWdIzpXDF8xCtMlprWN1H/e3eL4PJ8x55k6xN/f3Kuv/OEVPb+yIxmHe7npNZhdpsZvar6xrlt9iYT4TpMbdOROyX8La7andzgBAAAgu83d6Tuwj9hpYtG/r5UQj0Stc5jUGO9MN6+huwbC1h5uU2d/SF+961VJ0iE7TtAhO07QWQfOchzzg5MWaf85bQU/5+YMHeLdGe4J2DvbV3c4r0+zTToyH6+uGp+rioej6CXFc+bM0YQJE/T+++9LkiZPnqzNmzc7jolEIuro6Mi6dxyFY45Mz1aZPjFltMUa2z++1PEOuXeIO5PnExv8mtlaO/QTHgOqfWblktkhnnwDu//V9frf+9/Uzx95T8sSOy8BAAAwdOs74wHx1ObqQY4cvowd4okkS22VR3/50kFWwGvf+WWXLSG+fGOPzrvtRUlSVQET4lK8Wr81z4S4XX8wom7bOLds49fXdQ7o3Ftf1Bm/zd5pjOIqRmG6xLS2kXpjfUqHeB7/tu3T1jyJPYwPvrlRf122Xqf8v2cUNkemu+kQH8yuU+PNFG+t71Jf4iZjnd+rX522ly44Yp4k5z0PAAAADC6YYXLYcbsUP7fn99lHpic6xBvi8f+Uphp53C4FwjHHuiHJub9bkn5/7v766tHzHY/tNr3w3eGSNKEufZR8pm71flusnTqSPlscbhav15IQz1vRI6i1a9dq27ZtmjJliiTpwAMPVGdnp1566SXrmEcffVSxWEz7779/sU9n3IrGDL23qSdnV7cU73qx73uwr0RMHTeR67XsNyL336FV/7ro0HE7tqHa6+wQz1bR09GX+eYoAAAABrexK54QL+aoNn+GDnEzmJ1Q71eV160ZiSJQs2M9VddA5kT5JX9+Lfl9CpwQl6TGmvRRbamV85Iz2N7eH3Z0umcLxM3kf1v90JPuKI5CFaYzrW1kAmHnzcKh7hCflaGonJHp+VuYSIiv7wpobaITvLbKo2qfR5/cc6okad12RqYDAAAMhRkXnrb/TJ1/6Bxd/alFGTuhCy3ZIR7T5h5nh3iV160ZLfF7Aakj3e0xrTmVLXXl75yJdUU558YarxpTvld3hh3i/RnW++yUmH6XPZ8Uj8ObM8T6yGzIEVRvb69effVVvfrqq5KklStX6tVXX9Xq1avV29urSy65RM8++6xWrVqlRx55RJ/4xCc0b948HXfccZKknXfeWYsXL9Z5552n559/Xk899ZQuuOACnXrqqZo6dWpBfzgkXfbXN3TMdU9oW+IfiTfHqLYnvnGEbj83vTgh9R+eFYhnGNU2f1JyVOWCyQ1qGUZHylhhjtY0O8QHwtn2WJAQBwAAGK71XfGkxuSm8nSIm0msHdvjO2vf3dSTdqxhGLr6H+9kfG37fttiJMTNGwV2mSr77SPSz7zJ2fGdmtwzbeuNV+APpwsdxUFhemUIRpwxdF47xG0J8RkZEuIRs0M8j/Hr411DtU+z2+K/w+dXdkhK/n4n1sf/W9ETjGQt9gEAAEA6M46s93v1rY/urP/ab2ZJvq/fm8yzbEgUxLfbVgDvMCGe1P5gizMhvr4zWQD5P8fvJCl+XW6uO5vWXKPaqvS1RYXgcrnSpjJnygNlSnp/dNGUrM9JsjrhJzYU7x7IWDPk/5dffPFFHXHEEdbnF198sSTprLPO0g033KDXXntNt956qzo7OzV16lQde+yxuuqqq+T3J/9Pv+OOO3TBBRfoqKOOktvt1sknn6yf//znBfhxkM3tz652fJ6rmrza58nY3dEfisowDKvTOxzJ3iE+d2K99XFvhuqW8cQcmR7IMDLdLtOoDAAAAORmGIb6QlGrQ3xqETvEzes6O3OHeH2i6nv+pPh18Pube9OOfX5lh97L8HgqM9AvpEyd890D4bS96EFbYsgcQ2cayJI0MotuWzOMg0Nh9Pb2Wt3eUrIwvbW1Va2trbriiit08skna/LkyVqxYoW+8Y1vZC1Mv/HGGxUOhylML4FQStGJOQI9l/pqe0I8/d9taJCpb3DaZWqTVm3r1/Or4glx82ZnY41XPo9L4aihbX0hTWsu3n87AAAAxhIzz1GMQu5cnB3i8Vh1ekvyGm6HCfV6bPkWrdzqjLnXJRLiPzhpkfac2WI9/vtz99fzKzt0+ILi7j9PndbWPZBhZHoo/bF9Z7dKck5qMwxDf35prXae0mj9DtozFL8jsyEnxA8//PCMo/VMDz300KCv0draqjvvvHOo3xoFNFg1eabgOhozFIrGrBt0uXaI2/cemjcnxyvzJqPZUWMmxKe31Oi6z+6h25/9UPe/up4OcQAAgGH49RMf6IcPviMzRCluh7gzeRyLGeoNxq/hGswO8cSkpEwd4q+s6bQ+bvB71ZOlcLQYm4amZkj2dAciak+ZgJ0p6V1X5VFfKJp9ZHpvPCE+gZHpRUNh+uhkJq+HosGfvGE2M0OHuImR6fnZZVqj/v76BmtUZr0//j7ucrnUVufXxu6AtvUGSYgDAADkKZjIc2RaKVZMflvjobn2xn69vENi7PnKrZk7xO1rfiVp12lN2nVacXaH2zVWpyTE8+wQn5WYdNQfiliNqo+/u8Vat2YWA7Q3kBDPV3HmAKDiDVZN7suSMO8PRq0bgYPtI//oosn6x+sbdc7BO4zgTEc/s3IpkBiXN5B4c5vVVqt9Z7fqwTc2SqJDHAAAYKj6ghFd/U/nCPIpJRyZHohErWs4s6vTnJS0qTuogVBUNVXJmwSvre2UJH1z8U7qD0X0i0fjHb97zGjWq7ZkeTEmLE3N8HvJFIgPhNITeFOaa/T+5t48OsRJiBcLhemjUzDLmoFc7B3imQpZTIxMz8+uU503OetsI+nb6qsSCfFQqU8LAABg1DLzHKXvEI/H1qs7+hWKxuR1uxyT0OaYI9NTEuJmh7i9m7yUPjJvgh5/d4v1eaY8UKaEuBkXxAxZjaovJKYeSdLaRFFA6kh2ZEdJ8Tg1eEI88/P9tptg1g7xLMde99k99PDFh+mYhZOGeZZjQ7JD3DkyvcaXGNWWqBDqJiEOAAAwJP9engwqd57SqC8eNteR7Ci01PHigXAsbYd4Y7XXmpa0rc85cnzZmi5J0u7Tmxx7gg/dcYLjuN4iXBdOyZBYyxSIp3aBe9wuTaz3Z3zOREIcyGw4HeJ1/uT7TK5/U4xMz8+eM5sdo+rt/42YkHhv29IbTPs6AAAAZFa2DvFEnG3mV6Y21ziu8+w7xL98x0sKR2PqCYStuDfTGrFSOPvg2brkuAX6ySm7S8rWIZ4em9fafr/vb+5VOBrTK6s7045rZ4d43oigxqlsHeDJ57MkxG3dKlaHuDfza/m9Hs1rr8/43HiSHOURk2EY1ptbbaJbqCFR6cPIdAAAgKHpGohfPx2zcJL++dVD9D/H71TU75daAT8QjqbtEI+P4Y0nsTr6kl2H4WjMqkyfP7nBkVw/aJ4zIV6MyUEZO8QHMnSIpyS9m2t8Vpf71t6QTrnxGf3uyZWOYzoSiX8zuQQgztwhfso+03XLOfvm9TV+r0cttfGi6d2nN2eN3QeL6RHXUO1zjMKss03taEusefjVY+/r2/e+rlgs+xSG0aprIKy+IkwdAQAA41cw0SFeXeoOcZ/z+6WuF5rcWG2tH/vH6xv16DubrXW+jdXeohbP5+LzuLXkiHk6OBH39wQiadO/+lI6xGurPPJ63FYz6gk/f1Kn//Y5LbNNljMxMj1/JMTHqcGqybN1fZvVN4ZhKJzYIc7ustzsNztfW9tljUxPTYjTIQ4AADA0Zsdyaud2saQlxEMRa2SZfS+YmWSxj+E199e6XFJLbZWqbcH8AXPa9J0TdrY+L0ah5IR6v/U9D57Xljin9DHBwdSEeK1PNYnf76+fWKHnV3XoqgfekiRt7Q0qGIlaPycd4oBTMJEQ/8Ihc3T4gva8v+7p/zlKyy47VnV+b8aOD6/bJZeLhHi+DrEVHdXaboSa0y9WbevXHc+t1itrtpf83IopGInq6J88rsU/e0LRMZjsBwAA5REoW4e48/vNSewMN7ndLtnzzIFwVJu648XbkxrL30Vt3jOIxgxH8byUXLNrMnNH9vsGz63sSEucS1J7IwnxfJHJHCdSk9Ze9yAd4lm6vvsS3c1mMjx+LH+Ncqm2vVF/4vqn9EqiiqfGSojH3wjpEAcAABgas5u5VJXpqQH/31/bqGVr42PQ99uh1Xq8rS4ekG61jeHdnkg+N9f45HG7NLPVGbx/4ZA51sfFSPC73S49fskRevKbR1jfe1tfekI8tUO8pbbKqsQ3byZI0uPvbtFBVz+qL9z6oraSEAcyMjvEh1pEXlPlUVNNPE5MvdEnsT98qL50+Fx9Yo+p2rG9XgfOabMeT51qYb/PMRZs6AxoS09QazoG9OG2vsG/AAAAYBCX3f+Gnvlgm6Ry7BB3fr9P7TU97ZgJ9cmYdHtfSBu74x3ikzNMTCu1miqPdkxMVH5+ZYfjudSJPnMnxo+rrUrvap/Rmhz97ve6GZk+BGQyxwl7JcnUpupBq8mzdZCblSr2XWg+N3+NckkdZffoO5slJat8GhMd4q+s7tRPlr5b2pMDAAAYxcxu5pqq0lSme1KKSt/d1CNJOmTHCdp3tj0hHg/CL/nza3pmRfxmgdlF3ZJ47oA5rbrkuAW68fS9ra/73Vn7aF57vX566h5FOf9JjdWa3lKbcaS7KS0hXldldYjbnXXT8wpFY/rPe1utxP+MlJF1wHhnJcRHcLNwekv6rsOpzeXZfzha1fm9+tmpe2rpxYc53qf2n9PqeH8zO/rHCvtu9Lc39JTxTAAAwFhgGIZufeZD6/NSTWoz2RPiCyY1aI8ZzWnH/ObMfayPt/WFtCmREK+EDnFJ1tj0p1ZsdTxuxuFnHzRbB89r048/E983XutP/x1/ZN5E6+NJjdVp9ymQHZnMccJ+k3BahoA6VbYOcnMkg9nN7HG7HMl2pMtWfGBW9zTYxmv+/JH3SnJOAAAAY0EgkbwoWSCe0jy4LbE7e1pKcqrNVpX+xdtfkpTsEG+tjT/ncrm05Ih5WrzrZOvYo3aepIcvPky7TW8u9Jk7mJ3cmTrEzfF3ppZaX16/31lttVZHKwApFjOsQvKRdM+kdjFL0vz2hmG/HpJ2m96sl/73aM1qiyfJA+H0EZSj2ZYee0K8u4xnAgAAxoLUcd0l7xC3xaV7zWrOeMyeM1t00dE7SpK29oasHeKTKyQh/pFEQvzel9fp/c291uNmh/jiXSfrji8cYBVxttSmT2E7fEEyId5SSww+FGQyxwmvrYs7U0CdyuVyZRzrNpAYmW52k7TUVrG7bJjMSnRzhzgAAACGxpxeVKqR6UZKRtzs+k4dY9Zal7ze7hqIF5Ja188VMFbcTNh39OY3Mj2fAthF05oKc3LAGGGfqjaSDvGMCfHJJMQLpbbKq6lN8aKmMdchTkIcAAAUUOrK13J2iO+aI/5MTkQLWiPTJ1XInu3DF0zUfju0qi8U1R3PJbvtzXsbdSn3FuwJ8U/uMVXXnLybjl04yXqsKUPCHNmREB8n7MF4PglxKX3UtyT1J/5hmjf02irght5o1Z54E7aP66C2AAAAIH9mN191iUamGykd4uY1cV3KGDP7/q8Gfzyg3V5B18+tOUamB1Kq/vec2ZxxZHoqEuKAU6ES4scvmpz22IJJJMQLyZ8o+gnSIQ4AAJBV94Bzz3WpO8TtU40Pmjsh63FtifzXyq19FTcy3etx6/jElLjNiWu1tdv7tT7RyZ66Dq61LtkBvu8OrTpl3xlyuVxWTP+xRVNKcdpjBgnxcSJkq3Tec2ZzXl/jy/CGZv4jTXa4MJJhuKY0xd+Ea6o8Wvq1QyXFb7L2hyK5vgwAAAAJ1sh0b2kS4rG0kemZO8QPmNNmfdwTjKhrIKyO/srpEM85Mj0STwh9ZN4E/fWCg7V41yl5Vf7PnVhf2JMERrmgbf1Apulr+WpvqNay7x7rGIe423QKUArJ/G/IWOsQ39wTsD5e3xVQZ3/6ez4AAEC+ulM6xEudEHe5XPrDeQfo5rP31Q4T6rIeZxahv7upV6+t7ZIkTW6qjIS4ZCtQT0xsu/Zf70qSdphQp9mJVT4me4d4o2317v1LDtZPP7uHPr339GKf7phCQnycMBPiJ+05TZ/cY1peX+PLELR/sCW+1yDZIV4ZoyZGo8lNyV2T89rrra6BTJ06AAAASGeOFUutoi6WbEmo1A7xg+e16ffn7md9ftfzq60O8dYKGGlmXsNv7w8plpLlN3+nZxw4y9plnk9CfHprzaDHAOOJ2SFe5XWPeM1YU61PJ+4+VZJ0wqIp1k5BFIbZIT6Wd4hL0tsbesp0JgAAYCzoHijvyHRJOnBum47YqT3nMeaKMLtK2SEupU9sW93RL0m68Mh58qbk5OwF9fbVuzNaa/XJPafJ7Wbk8FCQEB8nzGD8G4sX5P2PxF7FPjVRQfPBlj5JyZGPdIgPX3tDspjA5XLZdluM3YR4fyiSdtMVAABguIKJbuZ8dlwXwq7TmnTHF/bXmQfOcjye2iHucrl0yI4TdVQiUL/moeVa1zkgqTI6xM1r+GjMSKvyDyS6Wu03N7Ld6GiqScYC05pJiAN2ZlG6fwTd4XYXH7NAN529j37+X3sW5PWQZHY3jbUO8S298YS4ufaCsekAAGA4ojFD4Wis7B3i+ZrW7CwedbuSY9QrQerENrPQIFPS3l5Q31hDLm6kKvNvLAoqGjMUTSQhhzKqzWvbIT5/cnxH2aptfVq5tU8bE7sXKqHDZbRK7cA3x19kGl05FmzqDmif7z2sC+96pdynAgAAxghrh3iJRqZL0sHzJujjiU5NU12WDvXrTt1DUvx63BzVVgmJY7/XYxVn2jsG13T0661EwsS+NzzbDnGPrdC2oZrgHLAzC3b8BSrYaar16cidJjn+3aEw/GN0ZHpX4ubqAXNaJUnPrdxWztMBAACjkGEY+sT1T+qYnzyubb3OvEU5OsTzUVPl0fPfPsr63OtxV9Q1tJkQ394fkmEY1jVbpoS3vaC+kZh7xEiIjwPhqG132RCqduwJ25mttfJ73QpHDR3x43/rTy+ulZT8x4uRM0d5bB+jCfG7nl+j/lBUf39tQ7lPBQAAjBEDZkK8RCPTTbtMbZQ9nq71ezMe11jtU0PiOTPRMrc9+66zUjp43gRJ0n/e22I99rNH3rM+nmLbsZatA989wjHQwFhmdoiPZH84SsN8jwuOsZHpvYGIJOmE3eJFXE++t9Uq1AAAAMjHpu6g3ljXrVXbksXTpkrtEJek9oZkPBuJVlbRo5lTi8YMvbWh20qIN2VIiDfXJh9rrMl83wH5q9y/sSgYe5XzcBPiVR63Dps/Me2YShj5OBr8/tz99NFFk3X8rpMlZf7/wewQH6sj06Ox5N/DSvuPEAAAGJ2s8d4l7BCX4iPS7Tt8s3WIS8795g1+ryZWyKi2Q3Y0E+JbrcfM3WVLjpjr+PmydYjPmVAZyX2gElkJ8Qq+UYi4sdoh3heMJ78PmNOqCfV+9YWienV1Z3lPCgAAjCortvRaH6/dPuB4LnXfdaWqtA2ufq9HvsR05hN+/qR1DdpUm54QtxfX0iE+cqPjbyxGJGRPiA/hTarKNjLd63Hrp6fuoU/tNc1xzIQKuaFX6Q7ZcaJ+ddre+tGnd9OFR87T3y/8SNoxrWN4h/i23qAeeWez9flY/BkBAEDpWSPTS7RD3M6+3yt1h7hdrS0hPmdinVwV0lV90Nx4Qvz1dV3627L1isUMbeiK3+A4fEG741h/loT4Dz61SPvt0KrbPr9fcU8WGIXMG1v+EhfsYOiSO8THTvd0MBJVKFGI3lDt05yJ8QKmrb3E4gAAIH8f2BLiH27rK+OZDF8FTUu3hKPOLL3bJdVnuK8wt71ekuR1uyq6I3+0oMd+HDCDoCqPe0g34Owd4j6PS7VVXn3/k4t0z8vrrMdn0xUyJI3VPv33sQsyP5cYidGTGGs2lnzhthf15vrkSJXNPUG1224iAwAADIeZEK8p8ch0yTlSvM6fq0M8GXLNmVhf1HMaislN1ZrWXKN1nQO68A+vaM32fm3sCkhy/mxS9g7xee31+tP/ObDo5wqMRnSIjx5+a2T62OkQN7vDJane71V9Yn1HbzBcrlMCAACj0IotyST4pu5gGc9k6K79zO76n3te0y/+a69yn8qgGmt8cmfI3Nf7vXrxO0fLN8TcHjIjIT4ODDcQdybE4x+n3mycQlKzYBqr4/8cuwNjL0B9JWUs25ae0fUfTwAAUFk2dgW09O1N1tSZUo9Ml6RJw+gQb2+orOlKrXVVWtcZ7wq/5sHlkiSXy/mzSeXpwAdGuyAJ8VGjOlH0ExhDHeLm/vAan0cet8uWEB87PyMAACi+D7aOzq5wSTp57+n6+O5TK/J6/NrP7K5v3fu6FTPkGofOlObCqby/CSi4YSfEbcd7PZmrTzJVrWB4zA7xroGxlxBPRUIcAACMxKdvfFr/e98b1i6wcnSI2/d75eoQtyfEG6orqx75jANmpT02sd7vKIyVkskiAPkzx28z2rDyWSPTx1CHeE+iE7w+8d+dOjMhPgYn0gEAgOLJlKu44Ih5eiDDSthKVInJcCmerF922bHW5/0hihZLobLuyKAozIS4L0tSOxv7DnGfuzLfOMYSswqoexwkxDf3BMp9CgAAYBRbu33A8Xk5OsTtFdy5vr89IW4WQFaKT+89XRMb/br6H2/r3U3x3XBTmmvSjss2Mh1AdoxMHz3MPe9mh85YYI5Mb0gkwusThVt9IRLiAAAgf8GwM1Hrcbt04VHzrOsnDJ+98HxrLw2EpUBkNg6EovE3rZGMTLd3iJ+813RJ0ucP3qEAZwdTY405Mn3sBagttc6bv3SIAwCA4YqZbeE2/jKM9J5oG3+ea2qSfZx6rjFo5eB2u3TEgnbNbK2zHpvWnL4SiQ5xYOiskekebrtUOnMtRHAsjUxPdIjXWQlxX+LxsXe/AQAAFE8opWBwhwl1JMMxahGZjQOhSPym4VADcXPHlCR5bV975Sd20W/O3EffWLygMCcISVJTzdjtEB9IVJKdd0i8iGILFU8AAGCYNnQ7J824XOUZSXzkTu06ZMcJOv/QOTmPq6ngkekme3J/Rktt2vOZfr+Ld5lc1HMCRjs6xEcP86ZuYAyNTDd3hZv3dczVHoxMBwAAQ5E6QWf+pPoyncnYdMWJu0iSlhwxt8xnMj5U5h0ZFFQoagbiQ6vcabB1sPhsXS91fq+OWTipMCcHizUyPTC2EuKxmGHdWJjZGr/BurmbhDgAABieW59e5fi8xueRyzW01UCF4PO49ftz9x/0uFpf5Y5MN7XbEuLTW9MT4vYO+IVTGvXN43fSvrNbSnJuwGhl3jxk5UDls3aIj6UO8UTi2+wQNwuy+ugQBwAAQ5CaEP/cfrPKdCZj05kHztLB89q0wwQKDUqBhPg4MNzKdHsHi5cxb0Vn3iANhGMKRqJjZvRIwHZTYWZbfBwnHeIAAGA47n91nX79xAeOx9rqq8p0Nvlx7BCvsJHpJnuH+MwMCXG7xhqvDps/sdinBIx65pQsVg5UPr81Mn0sdYjHC+3N+zpmYpyR6QAAYCjMgsHP7D1dH999qj6y44Qyn9HY4nK5NK+9odynMW6QEB8HzIS4f4hJbXsHi89T+q6b8abB75XLJRmG1BOIyF8/Nm6c9IdsCXFbh7hhGGXp5gIAAKPX1f94R5LkdknmKvEJ9f4cX1F+NfYd4jWVGX7Zf4czWmpyHktyDxjczx95Tz9/5D1JzrUJqEzJkeljqEM8bWQ6CXEAADB0ZsHg146Zr6nNuWNFoNLR9jsOhKLxQGhEHeJu/qoUm9vtsoLVsbRHfCBkdka4NakxfrN1IBxVX2js3GwAAADF1xMIa2Nif/itn9/PerzSE+L2+r+GCu0Qtxe/ThskIc74Z2BwP1n6rvUxRSSVr3osdoinjkz3MzIdAAAMjWEYyWbLIeaWgErE3+JxYLgj0xsdI9Pp5C2F5B7xsROkmqMCa3we1VZ5raT/lh7GpgMAgPyt6xyQJLXU+jSlqdp6vNIT4lGzlV1SXYV2iu63Q6ta66p0wJzWQdf2kNwDcotEnUlVikgqn/m+FwyPnYR450BIUnIyCR3iAABgqOzFgn6uaTEGVObMPhSUlRAf6sj0akaml5rZlT8WO8RrE+NCJzb41RuMaHN3QDtMqCvnqQEAgFFkbUc8IT69pdZxnTqhwneIR6LJhHilrotpqPbpqW8embOAdlKjX5u6g/rooiklPDNg9AlEUhPi9CFUOrPjKRiJjpnVXmYB+qSGeAFZPQlxAAAwRPaE+FBzS0AlIiE+DphvXL4hj0y3J8R5wysFc7/cWBrV1m8bmS5JE+v9Wrm1T1t66RAHAAD5W7u9X5I0vaVGjTXJ69RK388biY2O67rBfo//+MohendTrw6Y01qiMwJGp9Q91JX+HoVkx1PMkMJRQ1Xe0Z8Q35RYMTKp0ZkQD4RjikRj8nKPBwAADCIYiV/Xulw0TGJs4Ap4HAgnulKGWsXDDvHSq06Maku9iTKamT+L2SFujmzrHUNj4QEAQPGt3W52iNc49pdVeqX6Z/aeIUk6fMHEMp/JyLTV+3Xg3LYx0TkJFFNqLMeagcpn/2+KeeN3tNvUHS9Ab2+MrxWpt93foUscAADkw1wn4/e6iQMxJtAhPg4Md4e4PSHu5v2uJPw+c1Tb6OgkyofZIW7uzjOr78dS0h8AABSfuUN8ekutIxhvrq3skekz22r12uXHqr6K0AsYDwJhdoiPNs6EeEwNZTyXQgiEo+pKrGEzR6b7PG7V+DwaCEfVPRCp+P92AgAw2r2xrkvBSFR7zxq9E7ZCUTMhzvUsxobKbqdAQYSi8cSjfwQj0wdIXpaEfXfZWGH+3TFHBVpd8GMo6Q8AAIpvW19IkjShPt7t9tWjdtQBc1r1sd0qf6d1Y7VPbipMgXGBDvHRx+VyWQ0EY6E43dwf7ve6rQltktSUWDdiJssBAEBxxGKGPvaLJ3XyDc+oIxHHjkb2DnFgLKBNYRwYboe4/Xi6eUvDrLYKhkd/EG4aCMXHsZmdEeYucf5OAQCAoejqj9/Ab66N39D/2jHzy3k6AJBRanEzO8RHh2qvW6FIbEzEqfb94faJKk01Pm3sDqg7QEIcAIBi6g0l15Os6ehXa93onMxiXteaU22B0Y6/yeOAlRAfwX7Fnac0Fup0kIN/DFWlmwasHeKJkenWnvSx8zMCAIDi6xyIV9abHW4AUIkYmT46mau9xkJx+uZEh3h7g9/xuNktToc4AADF1W37b+32/lHcIV6AvBJQSegQHwfMXQ9D7RCXpOe+dZS29gY1q62u0KeFDJI7xEd/VbrJ3CFeXeXsEB9LPyMAACguwzC0PdEh3jJKq+sBjA+MTB+dxtL6MjPhnbonnJHpAACURk8g2SFuTm4ZjcyEODvEMVaQEB8HgsMcmS7FR2xNaqwu9CkhC2tk+hjqEF/fOSBJakvcvP7/7N11eGTl2Qbwe3ySiXuykc26u++ygi0UdyhupRRaCqW0lA9aoC1QCqW0eAsUd3d2WVfWfTdrcdeRjJ/vjzPnjGSSTLJJRnL/rouLkTOTN7vZzHnPY9IFIVaIExERUaisDrfc9SiFFeJEFME6VIizZXpUiKVubSbPRfhEvf8lvyS9+PnZxoA4ERFRv/L9rK1ptYVxJSfG5mDLdIot/EkeBPqiZToNDHkTHkPB4u1lLQCASfkpAHwqxGNgNhsRERENDKldukalkMewEBFFosAKcbZMjw7exO3Q96lOlxsOV+Tt3Y02MSCeoAsIiHsSyh75+gC2ljYN+LqIiIgGC78KcWMsVIgzrkSxgT/Jg4D9BCrEaWB5K8RjI1jcZnXgcL0JADClIAWAz4WGGPkeiYiIIt2/lpfgtje3weUWwr2UXms2ixn2yXFaKBSKMK+GiKhzgfscBsSjQ08rxNusDsz+63Lc+L8t/bmsXpEqxBMCKsSTfTqs/PyNbQO6JiIiosGkzeqtEK9tjYWAOM9nKTYwQjoISBnLrBCPfN4Z4pGXZd4beyvbIAhAfmocMhN1AAC9mi3TiYiIBtIT3x/Cl7urseFIY7iX0mtShXhqPNulE1FkC9znsKImOvR0fNnuilY0mu1Yfage5U2W/lxaj5ls4kX4zirEAaDeGL3tW4mIiCKdb4V4TVTPEPe0TOf5LMUI/iQPAnYXK8SjhfTh0pM2bZGsySxevM5LjpMfk4L+sfI9EhERRTLfqnCL3dnFkZGt1SJe3E9hQJyIIlzgPkepZFeLaKDv4T7VZPN+pq44WNcva+otUyct0xN03uqu4gzDgK6JiIhoMPGdId5git4kNKnzsI4djyhGMEI6CLBlevToaVZ6pDPbOrZqk77H1nYH3FHcupWIiCga+F6wj2bNFm/LdCKiSGZj4m9U6ulevNFkl2+vPxxZHVhMNvFnMDAg3tbuPSdIM/DzlIiIqL8YffbhTWY7BCE6r4FL50XsPEyxgj/Jg4Cdv7iiRk/nlkU6Y5DMdCnzfm9VG372euTNWyMiIoolRp/ZZdYoPr+QZrD5zj8lIopE0fy7djCTx5eFmNDQZPZWex2pN/XLmnrL5PnMDJwh/pNJufJtc4wkzBEREUUi3wpxh0vwC5BHE5tDqhBnXIliA3+SBwEbK8SjRk834ZIfDtRi87Gm/ljSCTF55qUY/ALi3hYry/ZHVms5IiKiWOM7u8xkjc5NOABYbNI5BVu1EVFk8225/cQlk8O4EuqJniSnv/tjGf7+3SH5/vFGM5yuyEmEkLrDJAZUiA9JicNbN8/2O4aIiIj6njFg7+3bWSbczDYnTnliJS5+bj0O1xm7PNbKGeIUY/iTPAhwhnj00PeiZXpZowU3vLoFl76wIeJakJtsYjZcoj54QBxA1LaMISIiiga+F7x9q8UjgSAIePiLfXhx9ZFujzXbxY14vFbdzZFEROElBcR/u3Q0LpqeH+bVUKikfWooyem/+3C3332HS0B5c3u/rKs3pAS4wApxAMhK1InHMCBORETUb9oC9t6+nWXCbWdFC47Um7GltBn/WFbS5bEtFnZqo9jCCOkgwBni0UOuEO9BQHx7ebN8u8EUOR+ugHeTHaxluiRW2sMTERFFIt8geKRd/C6pM+G/a4/hr18dgM3ZdQDC4gmIG7SsECeiyGb1tJYMTASmyHai48uORlDb9GCjyyQJOvGCtsnqZHI6ERFRP2nrokK8yWzHsQbzQC9JVt5kkW9X+NwOpsUirjs1XtuvayIaKIyQDgKcIR49dHKFeOgt0/dUtsq3K1siJysd8LaH8QuIq/0vDAVmzBEREVHf8W3VFti2LdyazN6LAuXdbMQtdnHtcQyIE1GEkyrEAxOBKbLpetGtDfB2QztQ03XL0YEiCII3MT1Ihbj0mNMtyMkbRERE1LeMnhniUkK37953zl+XY8nfV4btOn6Zz967qtXa5bHNnoB4SjwrxCk2cIc2CDg8LdM56yHyyVnpPdiY7ihvkW9Xd/MhNtDMQTbigZUS0TzPlIiIKNJFckC8ts173nKsoeuAuNnmqRAPUu1GRBRJrJ6AamAiMEU2b4V418npgWPKZhenAQB2+uzLw8lid0Eq/E7Udbx4Ha9RQaEQb9/9wU5WiRMREfUDqUJ8aIYBANDoCYgLgiCPt91W2hz8xf2srMkbiK832ro895FaprNCnGIFI6SDgFQhrmGFeMTracv0VosD28ta5PtVEVYhLmWmJ/pcvA5MzIi09q1ERESxxD8gHlldWWp8EvlKG7tuGdfuEL+PeFaIE1GEs3suKnJkWXSREre7q5r27XCm1yhx5ewiAMD28paICC5L61MqgncpUCoVcsD8y13VYW3ZSkREFKukz2MpIC5ViLc7Qu8K21/KArqz1bZ2PoKVAXGKNdyhDQJS1hE35JGvpy3Tlx+ohdMnQ/3PX+7H7orWLl4xsOSW6awQJyIiCgvfIHikVYjX+FWId31BXqoQj9eyQpyIIps8soz776jiTU7vei/e4JkBqlMrsekPp2LOsHSolQrUG23dth0dCFKlenGGAQqpFLwLvp/FREREdOKsDpd8Plic7qkQN4lBZynADHi7+g60soBk9FWH6nDOv9biw60VHY5ly3SKNdyhxTi3W4DDJQZMuSGPfD1tmf75zioA/hXY724p6/uF9ZI8u6yLCvHy5q5bpBIREVHv+XZiibSuLL4t00sbQ5shbmCFOBFFOCakR6dQ9uIOl1uu8MpN1iM5ToM4rQpDUuMAREbHtrWHGwAAJ43MDOn4qhYGxImIiPqSlIiuUACFafEAvC3TpQAzALS2D3wHtwaTDc0WBxQKYHpRKgDg/k/3YndlK37/0S6/Y9vtLrmLbaqBFeIUG7hDi3F2n0wjbsgjn7QJt7vcHWaTBapptWLVoXoAwKMXTZIfD1NyWVByy3SfCnGl0j9L/Xcf7sZ6z6adiIiI+la0tEyXKsQ7azdrsYsVe3EMiBNRhJMrxDmyLKpIncw6a2X6928PYsqD32HVoToAQHqCTn4uxdNG1LfqK1w2Hm0CAMwbnh7S8ZEQxCciIool0r47QatGRqJ4jiAl1LX6nCuEIyB+qMYIQAzUj8pO8HvO4RL84hFS8F6jUjAxnWIGd2gxzi8gzg15xNP5tBO3dxPZXlNSD7cATCtMwVmTcvGrk0cAAMwRUv0lCILcDt2g829vKq1Vcvvb2wdsXURERIOJ7ya7LYJapte1WbG/2ijfr2xpx5n/XIPzn10f9FxGCogHnlMQEUUadmiLTgbPSI7O9tP/XnEYZrsLz6w4AgBI86mUSvW0EfWt+gqXWk+y2fCshE6PufPUUfJtBsSJiIj6lrTvTtSrkW4QE+ikgHiLz/48HIl0h2rFPfjIrEQMy+h4ruDbydXbLl0b0hgWomjAHVqMk7LTAQbEo4Hv35HN2XVAXKr4yk8VW6/ke1qwtEVI9ZfN6ZbnmycEXLy+6/TRuHRGvnxfOikgIiKivlVn9FZht1jscHXTgWag/GftMbQ7XJhSkCJnm++vbsPO8hY88d2hDsdLAYo4DTPTiSiysUI8OkkJV6GOF0n1maWZKleIh3df63C5YfSsPy2+89amd5w6En/zdJmrZECciIioT0kV4klxGjmBrtFshyAIfslzbeGoEK8zAQBG5yRgWKahw/MHarxJ69L1+lTOD6cYwh1ajJM24xqVokOraoo8GpX378jeTUBcmqUZ77mInKQXP5zC8WEajPShqVEpOgTEAcBs829FV9fG2WVERER9rabVJt92C5GThLa/ug0AcMWsAhQHbMRXHKzzu+9yC3KiICvEiSjS2eQ9OC+3RBNpzFfgPlVSnOH/WeX7eZQcJ+7Fw90yXbrIrlCIF+G7ku+Ze17RzIA4ERFRX2pr96kQTxAD4nanGyab0+9coSUM1/B/PCaOVhmbm4RhmR0rxA97AuYAsNlz7MisxIFZHNEA4A4thm0+1oQrXtoIAIjX8uJhNFAoFHJrvc5aph+oacMjX+9HjSeALP3dJnk28MYIaYfqzSIL3lalJiAAXttm63AMERER9Z7D5Uaj2f/ztcEk3q9rs+LltcfC1llGmh8+JCUeQ9P9gwzlTRY4fM6DtpU1y7fjObuMiCKc9PuLLdOjS3cV4taA2eK+Sd9ShXhzmAPi0kX25DgNVN0URIzwtFQvbTR3+N4sdif+9NlebC1tDvZSIiIi6oJcIa7XIF6rhl4jnhM2me1+I80Gcoa43enG1f/dhJI6E5QK4KQRmSjwJMcBQEGaeLus0dsyXUpUXzIma8DWSdTfuEOLYTe/tgWlnl9iY3KYyRMtdJ5Kgs4qxM94ag1eWHUUb2wsA+BTIe7JAI+UlumNnoC472w1X2Nz/X8mpYp3IiIi6ht1RhsEQezWMipbvPBdbxQD4re9tQ0PfbEP9360Oyxrq/YExHNT9JhSkOL3nNMtyBVrgiDgkuc3yM/pGGAioggn7eP4+yq6GHTivtpsd0IQOo4XaQ8IGvtWiKfESxXi4e3C0uyTlN6dzEQd0g1auAXgoE97VAD43/pSvLr+OC56bn2HYDkRERF1Tbo2L3WfkeaIN5js8mc1MLDnDcv312JNSQMAYO7wdCTHa6BWKXHWxFzkJOlx04JhALwzxM02J/ZUil3dFo3KHLB1EvU37tBimG+W0cQhyWFcCfWEXCHeTct0SbzOv2V65FSIixfcpdYwge4+fTRuWTRM/n4tQTbaFc0WVLeyhRsREVFvSFXYWYl6ZCZKm3Dx8/nH42LV15e7qgd0TRa7Ewv/tkKuwMtN1uOMCTkdjjveYPYc739+EKzrDBFRJLGzQjwqSRXfgtDxswcA2gMeM/h0LPEGxMPdMl38+qHM+lQoFBiXlwQA2OcZYyLZWtok3/5sR1UfrpCIiCj2SdfmEz3X6qUitoueW4/KFu917oHsLLPuSIN8+94zx8q3//3TqVj3+5PlcwIpIC51ftWplfK1BKJYwB1aDJMqgQBgeFbHmRAUmTTdVIgHiteIG3Ep68xid/m1GQ2XRpNUIR78QzMlXot7zxyLyfliskbgBQarw4UFj63A3Ed+CPnPgoiIiLzqPONJspN0yEjwD4iHy5qSBpQ1eduwxWvVyE+Nx8JRmdCqlBibK27Ej3oC4s1hrrYjIuoJl1uAyy1WF3OGeHSJ06ggdRk3B7RNd7sFeTa8xBC0ZXp4P7OkSrNQKsQBYJznM3dflTcgLggCdle2yvePNZr7cIVERESxT0r+TvBcqx/hE5fZdMybdNZktvu1KO9P6w83AgBeumYGJvgUTioUCqiUChSkxgMAqlqscLrc8jlNZ51fiaIVd2gxLMVnE3QyZz1EDe8M8dBak0kzxKWAOACYIqBKXMokS+/mgzNO6w3k+5JaugLwu3BOREREoan1BMRzkvXITPC2aQP8K9uCtYbtL7sqWoI+/sJV07H290uwZLTYjk2qEPettrt4en6/r4+I6ET4JiazQjy6KBQKOchtDAiIW50d9+bBW6aHt0K8yXPxOiXEgLh0gf5og0l+rLbNhto271483G3giYiIoo1U9CXtuR86dzziPAVtUuKk1pM4ufZwQ5B36FsWu1NOOJ85NDXoMVmJOmjVSrjcAqpbrXL1eqjnFETRgju0GCZlMD9+8SRkJ+nDvBoKlXThJDADvTNSy3S1Sil/0IZ7jvi2smY8u/IIgO4zyaQK98CZbL4XEw7XmUBEREQ90+ZJkEuO0yJDapnuSThL9fl8HshWbVtLm+XbvpnycVoVshL1GJphAAAcC6gQH52diL9fMnnA1klE1Bu+ezgtK8SjjtQ2PbBCPLCbGQAYtD4B8TjxM7WlPdwV4qG3TAeAYs9n7rrDjXjvx3IAQJ3R6ndMk5kBcSIiop4we84bpCK2VIMWd5w60u+Y86bkAQA2HG3s9/WUN4lt2pP06k4D3EqlAsXp4nnBtrJmn64zoZ1TEEUL7tBimNRmOieZwfBoou1py3SfCi9pNklbe3grxB/8bK98u9uAuGf97Xb/Nfu2mztSz4A4ERFRT0kX9A1aldwyff2RRny3t8avilEKPg+EvZ62rBdNy8dL18zo8PywDgFxz8V9AzfiRBT5fH+3alSKMK6EekOq+jYFBsQdwSrEfffh4uusDndYx5c1e4LXqSG2N5WS0ADgng934Ui9qUMAfCCT5oiIiGKBRdqH+5wrTPRpUw4Ap4/PAQDsrfKOKREEAY98vR9PLy/p0/WUezqvFqTFd3nc0gnimj7aVuk9p2CFOMUYBsRjmM3T1ouZ6dFFqhB3uEJrXxrvk5meFOdp8eapEN9V0eJXiTVQfNeu66ZVoN4TEA9sme4bEGeFOBERUc+Z7dJGXI2MBHEjW9Nmxc9e3+rXDrV1gCra2qwOGD1V6w+dN16uTPMlXZyvam2H1eGSM9Ol6jsiokgmJTVrVUooFAyIRxuDXCHuvze1BgmIJ/i0TE/wGV8WWF3encqWdry+sTTo1+ipGs+olCxPV5juBI43q221dpiDzpbpREREPSPtw+N8rtlPyPMGxJP0akwuEO8fbzDLnWi2lbXghVVH8eT3h2Cx9+x8oqbVipdWH0Vre8dEtvJmT0A8teuA+PmeqvW1hxtQbxKvF6SwQpxiDCOlMczmEDfjOo2qmyMpksgzxINUiLvdHYPkvhXivhntLreAc/+9Dhc9t37A25xpfILgi0d3Pb9eaple2dyO1zccly8E+K75KCvEiYiIesziuaBv0HkrxIP5y5f7sbO8pd/XU90iXqhPjtP4zV71lW7QIlGnhiAAZU0Wb/tXVogTURSQA+KcHx6VEjttmd5xbx7v8zmmUSnl2aBGqxMvrj6Cf3x/CI0mW4fXBbr0+Q24/5M9fVINVtkitkQdkhoX0vGBSRt1RhuazOLn7rBMMUGNFeJEREQ9EzhDHACS4zUYmi4GpDMTdchK1CMjQQu3ABysNQIAVhyok49v6eHn789e34K/fLUfD3y6p8NzFc3i+UFBWtfnB0PTDfIc8f3V4ppYIU6xhru0GCbNL+uuQpcii/T3ZXd1zBC3Ojs+5lshLs88szv92rwdaxjYgLI0n/TDW+chs5vsdCmg//7WCtz/6V48s+IwAP+Nt/TBTURERKEz2bwV4l19Hh+pN+O8Z9b1+3qqWsXP89wuxvkoFAoUZ3rbpksJcp3NOiMiiiRSu2y2S49OUmtTY0BAPNg+PEHrn9glVYkfbzTjr18dwD+Xl+C3H+zq9mtKQezv9tX2as3yGh0uVHhmhA5JCS0gDgC/PHmEfPupZYfw8Bf7AADDMxMAiBXighBa9zoiIiLqOENcMsHTNj0rUdwPj8lJAgAcqBbHin27t0Y+NrBjS3d2VYit1z/dUdXhuVBbpiuVCuR59up7KsX3Y4U4xRpGSmOY3bNpY0A8unQ1QzywrTjgXyEu3TbZXH4B8ZrW7jPT+4ogCHJblVBatcUFnBysPFgPwDv/DAAazfYet54jIiIa7CxyZroaaSHOE+1PVS2hXagfmi4GxF/bcByvrj8OAEjlRpyIooCNFeJRzeBTIb6mpB71nkTv9mD7cJ1/Jz5pjniZ56IzII4wC9WJpFDUGa0Y98A3sLvcUCiAnC4SzwLdeeooXD2nCABwvNG7dqlC3OESOsxUJyIios4FmyEOANMKUwEA+Z5OLkMzxAB1VUs7jtSbUOIzMrSk1oSVB+v6JCmt3FNolh9CBxmpy0yd5xyIFeIUa4L3KqSYwM14dOqqZbrF1nEjbvAJKEsbeIvN6RdA9t2U9zejzSmvvav2rBLfgD4AuYKtKSATrrKlHaOyE/tolURERLFPml0Wr1VBo+r+fFAQhH6deSu1TM9N6fpCvTRHfN3hRvmx5DgGxIko8tld3INHM+mz5q1NZShrsmBIShzW/f5ktAeZ7x34uSq1W5eSvwCgwWRHg8nW6b7Y6fLu+U/k4/e19aWQpqsJAqBThz42T6lUyJ+7voakxEGnVsLmdKPF4kCinp/DREREoeisQvyKWYVQKRU4fXw2AG+leL3Jhu/2+neK+fW7OwAAz181HWdMyOn1WgRBQEVTaDPEgY7J6+kJDIhTbOEuLUYJguDTMp0zxKOJdPHEFiQgLl3Y9hXnE1BO8MloN1oHPiB+rMGM934sByDOSYnTdv+zF3hMTat4sbwlICBe0TxwQX0iIqJYICXHJXQyrztQm7V/K8CktrB53VSIDwtyYX7RqKx+WRMRUV9yOKWW6bzUEo2yk8QL09L+WfrcsgYJiAeSAsZVnuQvyaEaY6evaTB597xOd+8rwD7b2bE9ak8E6+yWGq+Vq8LKuRcnIiIKmTxDPKBCPE6rwrXzhiI3WdwPSwlz9UYb9nvapgdacaAOb2wsxXnPrEOd0Rr0mMCuqg6fhLvWdoc8CiY/hIC4b0X43GHpmDs8vdvXEEUT7tJilN3nF59Ow7/maCK3THeF1jLdt/pAqhA32Vx+H4blAxQQX/L3lfjzl/sBoNvZ4ZI4jf/Jwb7qNix+fIVcFSY9zzniREREPWP2dJaJDzEgXu/ZYH+1uxo3/W+LX3JaSa0Rpz25Cp93c9F9f3WbPPfblyAI2HysCQAwupuOL4GVai9dM6NH7V+JiMJFrhBnQDwqdTbyK1jL9EBS8lllwL71QBcB8UO13ucajL0bcyYIgl9V+k0Linv8HlIigC+NSomZxWkAgD9+ujekPwMiIqLBzu50y+eDgRXigaRr5/VGm/xZHthJ9VCdEf/3yR7sLG/B9/tqO7wHANS0+QfKv9pdjVaLAwBQ3iS+b0aCLqTCNWkEDAC8dfNsFlpSzOnxLm316tU455xzkJeXB4VCgU8++cTveUEQ8MADDyA3NxdxcXE49dRTUVJS4ndMU1MTrrzySiQlJSElJQU33ngjTCYTqO/4ttvmDPHo0mXL9IAK8YyAtiUGzweb2eb0m/NV1TrwweRQ2qUDHT/oAf/ZZaeOE9vI7KsSM+VqWq1wnUD2PBER0WAhnTdI5wdjcroOREtzwn7x5jYs21+LJ747JD/3m/d3oqTOhF++vb3T1++pbMWZ/1yDOX9djvVHGvyeO1JvRmVLO7QqZbdZ5sXp/gHxvG5arBMRRQq73KWNe/BoJLUuDSS1TD97Ui5+u3Q03rhxdodjpAvIlS3+e++qluB78SazHde8vFm+32Z19iro3O5wydXln9++AHcvHd3j9xibm4icJD1mewLggDhD/I/njENmog4ldSb85Ok1eG7lEb8270REROTP97M82DVvX74B8WpPx9RxuUl+x2wva5Fv2xzBP4OlbquSO97ZgUteWA/A2+WlIK37+eEAcN38Ypw5IQfPXzW9X8epEYVLj3dpZrMZkydPxjPPPBP0+b/97W94+umn8fzzz2PTpk0wGAxYunQprFbvP8wrr7wSe/fuxffff48vvvgCq1evxs9+9rPefxfUgW+7bWanRxepvV6wgLhU6ZWkV+NP54zD2zfP8XterhC3+wfEjSG0QN14tBGXvbABB2qCt2jpjiD4B6mL0ju2Ow2mu+y0K2YWAADe+bFcvMj+yHK8tuF4r9ZIREQ0mEjnDdL5wf9umIW/XDABz181HVfPKcIti4b5HV9vtPm1hfU9JwilU8vhOjHB1e5y4/Od1Vh5sA7HG8wAgA2eAPms4rRuM+WT4zXI86kID5xjRjQYMTE9OkgtKtkyPTplJ3VSIe6QZoGqcNuSEVgwMqPDMQmegHhgMnqzp0Ir0DHP56OvwAqvULS2i++vUiowYUgS9JqeV3Il6jVY+7sleOdnc7DsrkX43w2zMCo7ERkJOjx12RR5vY99cwAfb6/s8fsTERENFtK4U61K2e35oBQQrzXaUO05fxiXl9Tp8Z1d3w82ZvRQrQmljWb5uVDmhwNix5vnTnBuOVEk6/Eu7cwzz8Sf//xnXHDBBR2eEwQBTz31FP7v//4P5513HiZNmoTXXnsNVVVV8oZ9//79+Oabb/Cf//wHs2fPxoIFC/Cvf/0L77zzDqqqgrdgtNlsaGtr8/uPuiYFxLVqJbN5ooxUTbDqUH2HWWVSpdfkghRcN78YIwNajkoXvC02J0w+H5KmbgLiDSYbLn9xIzYda8IfP93bq3VbA7LUhmWGGBD32bAXpcf7JXBoVUrMGZaOonTxQ1uap/Lg5/t6tUYiIqLBwrdVm8ETgM5O0uPK2UU4Y0IOHj5/Ak4aken3mro2G0pqvcEx3yB44FyyYBpM3navn+6oxHWv/IglT6wEAJR73mtUN+3SJcOzEuTbyXGakF5DFMuYmB4dfPfhFH2CVYg7XW60tYufgV0ldEkzxKU8cakqrNnScYwI0LH7GwA0mnreNl1aW3Kc5oSu/ahV4rWjEVkJWDTKe34wf0QGfnPaKPn+0z+U+I1UISIiIi/p8z1e132CmtT51eUW4BYAtVKBkT774EBGa/AkO6mraqAvdlXLLdNDrRAninV9uks7duwYampqcOqpp8qPJScnY/bs2diwYQMAYMOGDUhJScGMGTPkY0499VQolUps2rQp6Ps+8sgjSE5Olv8rKCjoy2XHJJsnkMpWbdFHuniyt6oND33hH/iVZogHzt2WSHPLzAEzxNsdLrlaIZDZ5sTJf18p3+9sw94dKTNdMjzEgLjTp/3513echPX3noxHLpwIAHj6iqlQKhX49xXT/F6TZvBvFU9ERET+/Fq1dbIZ950PBgD1Jhv2VbfK96tbrfLFeVuQzjWBfGeHS+csgiBeFJBaxoba/tw3I53JnUThSUynnrMzIB7VkuLUHf7uzHaX3Aa9q44lSQGfqYVpYlJ3Z/trqYvLjKJUTClIAQA0mnu+F5f24YFfvy/98pSRWPXbxdCqlShvasev393Rb1+LiIgomkn7YEM3XdEAQKdW+SV/ZyfpkWbofARpZxXiez0B8dEByee7Klrklun5IVaIE8W6Pt2l1dTUAACys7P9Hs/Ozpafq6mpQVZWlt/zarUaaWlp8jGB7r33XrS2tsr/lZeX9+WyY5JUEaRT97xdFoWXb4X0W5vK/J6TPvgSOtnsSlnopoAZ4kDnVeK1bVa0+TzX2dy07rRZAwPinWe0+Zqcn4IJQ5Jw8fR8xGvVyEjQ4fKZBdj30FL5YvjE/GQ8fP4E+TUp8awUIyIi6opJatWm7rxVm9RZRtJstmPd4Ub/xzpp9RpMoyn4hfz91UZ5JlpucmiZ6T+dVYg/njMOH/1iXshfn2iw6q/EdIDd2nrK4RKTfdkyPTopFApkJvhfiDbbnChv6n7+ZkLAZ6rU5aylk89RKYE9XqdGuifhu6kXAfE2T0C8v7upFKUb8I9LpwAA1pQ0dLjeQERERN6Et+7mh0tykrzX4fNS9MjtIoHcaOt4TuF2C3JH1aUBbc4P1Bi95zAMiBMB6OOAeH/R6XRISkry+4+6ZnNIAfGo+CsmH11VE0jZ5WnxwSuk5Qpxe8eAeGdZZIEVXy3tvasQbwuoEC9MD+2DVqtW4otfnoS/XzJZfkyhUHRoR3fFzAKcOzkPAHC03ozJD36H51cd6dVaiYiIYp3Fcx5g6GIjHlghXt1qxbL9tX6PGa2ODl1m3D7dXXx1Vtm2r7oN1Z7quq42+L4UCgWun1+MaYWpIR1PNJj1V2I6wG5tPWV3ihdBWSEeve46bRQW+rQMf/zbg9hR3gKg6+qqwP1vUbrYMa2zILfUUtWgVSHd0zK1Ny3T5QrxARgvctakXOSnxsHlFvDj8aZ+/3pERETRptVzXb2zYrZAvucPQ9MNGJ7RVcv0jtf2K1vaYba7oFUpsWhUht9zpY0WHKk3A2DLdCJJn+7ScnLELJTaWv8LabW1tfJzOTk5qKur83ve6XSiqalJPoZOnBTkZEA8+nR18UTaTKd20jLc4NMyvUNAPEgWGYAOc8objCfeMv2la2b0eXcCtUqJB88d7/f1nllxuE+/BhERUaxo66arDCC2ZHvg7HE4ZYwYJFt7uAEWuwu5yXqMyUmU36fO6H+B3hRk7ikANJqDX8jfU9GKWs975IVYIU5EkYHd2nrGIo0uY4V41Lpoej5eu2GW3B794+2V8nNdVVeNz0v2uy+1TG+zOuAKkkhmllqq6tRye9TetEyXOrUNREAcAOYOSwcA/HiMAXEiIqJAFc3SqLDQ9r1Fad5zi2GZCUjuoitqYDEaIHZ+BYDsZB2KfYLp0nxySajrIYp1fbpLKy4uRk5ODpYvXy4/1tbWhk2bNmHu3LkAgLlz56KlpQVbt26Vj/nhhx/gdrsxe/bsvlzOoGZjZnrU6rJC3LNB7myGtneGuNNvhjjQeYW41dNNQHptg8nWaeVXV6SN+IIRGThtXHY3R/dOYBs4o9XZIaBPREREQI2nRXl2N6NQblhQjFsWDfd7rCA1Xv7MbWt3oMLTZk0SbCMOdN4yfdWherjcAtRKBTITO5+JRkS905+J6ezWFroGkw1/++YgALZMjwUGXccE76S4zpPMkuM0fvtVKSAuCP7J4xLfTi4n0jK9dYBapkvG5oq/A441mAfk6xEREUWTSk9ntPzUEAPi6b4BcUPQY6QkvWDX9mvbxMTz7EQ90gxavHXTbHx46zxcPWeo33E8NyUS9fhfgslkwo4dO7Bjxw4A4ryyHTt2oKysDAqFAr/+9a/x5z//GZ999hl2796Na665Bnl5eTj//PMBAGPHjsUZZ5yBm2++GZs3b8a6detw++234/LLL0deXl5ffm+Dls3pwtX/3QwA0Gk4Qzza+H5A+c4TX3mwDssPiBexUjtpmS7NJ2l3uHCo1uT3XOct08WAsvTh6nQLaOnkQndX2trF9+/PjbhSqejwmJQJR0RERF5VLaFnpqcZ/D+7E/VqJOrFx4xWJ443+l/0lj7zA0kX8qXq8ptPKgYA1Hg+q4ekxkEV5LOciE4ME9Mjw57KVvn2nOFpYVwJ9QVDwEzwEVkJUCi6/gybOdQ75mN6Uao8miRYoFuqEI/XqeWE997NEBc/k5P0AxMQL/AE+subLd0cSURENPhIFeL5IVZkF6Z7g+DDOwmILx0vJq+2BQ2IexLhPbPI543IwPSiVNxx6kgs/80iDMs04Fcnjwj9GyCKcaENM/CxZcsWLFmyRL5/1113AQCuvfZavPrqq7jnnntgNpvxs5/9DC0tLViwYAG++eYb6PXe6pQ333wTt99+O0455RQolUpcdNFFePrpp/vg2yEA2FbaIt/uTaUvhZdvxbNGJW64BUHAda/8KD+e2kn7lDSDFhOHJGN3ZSvKPNVcaqUCTrcAo7WzlumeCnG9GqnxGjRbHKg32jqtQu+Md3ZZj3+tnJCqFqs8n42IiIhEVa2hB8QDE+0S9Go5cP2Hj3d3qOpuC3JOYbY55XEtL149Aw1mG6bkp+DNTWWweC76nza2fzrIEA0GJpMJhw97xwVJielpaWkoLCyUE9NHjhyJ4uJi3H///Z0mpj///PNwOBxMTO9jZpv4u25KQQoumJof5tXQiTJo/fe1r1w3s9vX/OqUkYjXqvHLk0fAoFMjNV4Lo9WJ2jYrjjeYMW9EOuK13q5u4tdRIU2eIR75FeJS5Xt5U/uAfD0iIqJoUukJiA8JsULct5K8ME28vv3eLXNx38e7UVInFrstHZ+Nl9cdC3ptXxpvFqwT2/DMBPzwm8U9Wj9RrOtx5Grx4sUQhM6DrAqFAg899BAeeuihTo9JS0vDW2+91dMvTSHy/fvZX90WxpVQb7RavB9uZrsL7XYX7J6Z8JLOgtUKhQJ/Onc8LnpuvfzY+Lwk7Kxo7TBTXCJViOvUSmQk6NBscaDBZMNoJPZo3W3tAzO77NIZ+XhvS4V8v7qVG3EiIqJA3grxrlumAx0voifq1VArvV1q6gNmiAfrOrPpWCMAcUNfkBaHQk/rt3G5SdhS2gwAOH/qkB58B0Tki4npkc9kE/dD6T1MLKbI5Nsy/fRx2XJldFcm5afg6SumyvczErQoa7Lg569vhdHmxHXzhuJP544H4FMhrlUjQ54hbuv4pt2oM4qVYZ0lzfc16cJ9a7sDre2OAQvEExERRQNvy/TuzxsAMWh975ljkJ6gk8eozipOw/d3LcKyfbVwCQLGeMaV2Jxu2Jwu6NTec5S6gApxIurawJZy0oDwbZ/hZIV41FEHzPSY/9gP+N/1s/weS+3iIovUplQyMjsROytau5ghLm7E9RqV37zQnpLarPd3q7a/XjARvzx5JP65vAQfbK1AdStbphMREQWqahE/H/OSu89MV6uUSI7TyFVmCToNtKrO28IGO09YdbAeALBoVKZfS9nfnzkGb28ux4yhqZgwJLlH3wMReTExPfJJ+60EPS+zxALflukZQaquQpGfGo9tZS0wepLTX11/HL9YPByPfn0An++sAgAk6NTISPRWiLvdQtBRYcEIgiC36pdme/c3g06NdIMWjWY7ypssSB6SjH98fwhlTRY8eenkbtvKExERxSqL3SnvqXOTQw9Q37JoeNDHTx0ndlhz+cR3WiwOZCd5A+K1Rikg3rtzFaLBpsczxCny+bbP8J1hRdHhqjmFmD8iXb7fZLZj2f5av2NSusjCDpx1Jge5O2mZbvNUn+s1SvnY1l4ExKWZJTn9nJGmVilRkBYvn1iwQpyIiKijnswQB/y7zyTq1UE7vpw0MgMAsPxAbYfn1hxuAAAsHJXp9/iMoWl44tLJuGJWYWgLJyKKUlJHrgQdA+KxwLdlekZC7y4yFwZUlQ9Nj8frG0vx0fZK+bF4nQoZCTooFGJBQ5Ol+7bpX++uxnWvbMaO8hY0WxzQqBQYk9uzDm8nQuoCc6TeBKPVgX8uL8HH2ytx2NPalYiIaDCSxucoFH17PqhSKjA6W/yc/25vjd9zUqEYK8SJQsOAeAzyrQT+90+nhXEl1BuJeg3evGmO32NrSur97gdWkXdFqtgOrOYSBEHcQJvFx/VqlXzxuzcBcekDuCcZcCdCuighrV8QBLSEcPGAiIgo1gmC94J6RkJorXvTAwPiAR1ffnPaKNx75liolAp8tbsGKw7Wyc81mGw4Wm8GAMwuTjvR5RMRRSVpJjQrxGNDcYZBvh3qZ2mggjT/pLTc5DjsKG/xe8ygVUOjUiLd0zZdSjTvyq1vbsPKg/W47MWNAMTqcN/2qf1tWqFYeLHxaKPf92N3uTt5BRERUexr94xDidOo+rxjymUzCwAAf/lqv/zZu+V4E47Wm6FWKjAyK6FPvx5RrGJAPAZJAfErZhUyOyhGbCtrkW9fNqOg2+PHedqljc9LkmeHVjT7V1J/sasa5z+zDv9YdggAoPOpEO+smjxQSa0Rj359AK0WB2o8AfGcAQqIS5XwUiXGk98fwpSHvsf3+zpWrREREQ0mNqcbUmflOG1oF8h9P78TdGr47t8/v30BfnnKSIzLS8J184YCAB7+Yp/cvnnL8SYAwKjsBKTEc3YuEQ1OcoW4lgHxWHDRtHz5dpymd8HmgoD5oRuONmJNSYPfY/Gez2mp1WldW9dzxO1Od4fbAz2SROpot/ZwA7aWNsuPWzyBACIiosHI4hDPBXt73tCVi2fkIz81DlaHG095ruW/vblcfG56PrIYAyIKCQPiMUhqmZ7EzPSY8/NFw/HYxZO6Pe75q6bjqjmFePbKaSjwtGkrb7L4HfPi6qN+93W9qBA/75l1eH7VEfzp873yBaCBCogn6MSTC6kS418/HAYA/PHTPQPy9YmIiCJVu88F6fgQAzO+rdUT9Rq/Kq+J+d4L7b8+dSS0KiWO1ptxtEGsCt/uSdybMZTV4UQ0eHGGeGxJjtfgiUsm4/Rx2ThrUm6v3qMgoGV6MNLntFTM0F2FeLC25GNzBq5dOgDMKk6HWqlAeVM7vtnjbd0q7c2JiIgGIykxLNSk9J5I0mvkTsBbjzfD5RZQ1iTuxxd4RpsRUfcYEI9BUmAykRvxqCZVYPmSssa7U5gejz+fPxFF6QZ5btnxRguue2WzXP0dH/DhrNeofGaIh7aRlT7oP99ZBUBMwgj1wvuJCqwQlyiVfduShoiIKNpYHOLns1athCrEz8WcJP8K8bMn5aEgLQ7Xzi3yOy5Rr8HMYrFV6ppD4kgXaWzKMJ/2skREgw1niMeei6bn48VrZvR6j5uXEid3b/O1YIT3wrXUkUXa69d2UyG+t6q1w2Ojczp+jf6UoFNjrOf7OlBjlB9nhTgREQ1mVs/nYOA1974ycUgyEnRqGG1OHKhpQ1WLuA/3TW4noq4xIB6DpMz0xIDZjxRd/njOOOx9cCkMPh+iQ9N7fqHZt23+yoP1+MNHuwEAZrt/IFmvUcpdBQLnjQfjW0XudIstU3OTB+4DuLOAeKgX/omIiGJVu73nrdpyfTq8JOrVSI7TYPVvl+DB8yZ0OHbBiEwAwMajYqv0BpN48T4jIbTEPSKiWGRmYjoFUCkV+PJXC7D8N4vkxwxaFV69fiZumF+Mk8dkyYHlrERPhbix6wrxT3ZUdnhsdPbAVogDwLTClA6PsUKciIgGM2+FeP+cC6qUCkz1fP7uKG9BjaerzBAGxIlCxoB4DJIqgLkRj24KhQIGnVoO/ALAzOKetyINDBBvPNoEQRBQ2uDfQl2n9laIlzdZ4PRplRrM/uq2Do/lpgzcvJJEz59LRXO7X9s4lYIBcSIiGtza7eJneE8y03P9WqaLn7GKTj5Ti9LF7jNSIJwBcSIib2K6gRXi5EOhUCAlzlusUJAWD7VKiQfOGYeXr5sp79elxLRDPhXXgQ7UtGHd4UaolQo8fL6YsGbQqpAcP/DFENOKUjs8xgpxIiIazKRObXGa/gu5SecL+6ra4HILUCsV3IcT9QAD4jGIFeKxJc2glW/3tv3emRNy5NttVgeazHYYbR0rxKWA+NEGM+7vZhb3nsqOrdpmBNkU9xffC02nPrlKvs2W6URENNhZelEhnpXo3UR31xrWO2JFTMJsMNkBABmJ2k5fQ0QU69gynTrjO1de38ln88JRmVAogC2lzTjeYMaxBjOsDv8A864KcQ8+c2garp5ThJeumYEPfzGv/xbehWmFDIgTERH58rZM779zwVRPnGBPlViolpOsZ7dUoh5gQDwGGVkhHlMev3gyCtPi8cLV03v9Hn+9YCJeumYGAMDudONog7nDMXqNf2b525vLu3zPTceaOjw2z2cWWn/rrPKC5wBERDTYtUuZ6T2oEM9J0mN8XhLG5CQi3dB1YNs3IP7g53vRZPYExJmZTkSDmIkt06kTOrX381irDn4ZLi8lDieNFEeSPPbNASz5+0rc/NoWv2OOeDqjjcxOAACcNi4bYwZ4frgkPzWuw+e+xc6W6URENHjJien9NEMcgLxX31neAoDzw4l6igHxGCRViDMzPTZMzE/G6nuWYOn4nO4P7kSqQYtTxmRB6nzq22JcIs4Q9+8qYHW4cPf7O/Hlrmq/xw/XmfD9vlq/x+I0KkwaktzrNfaUoZOTC884cyIiokGrXZpd1oMKcaVSgc9vX4Avf3VSt91WpIB4ndGGV9Ydlx9PjWeFOBENToIgyPOTE3Ts1Ead03USEAeAqQUpAICv99QAANaUNOBovXfvLu3jR2Yl9N8CQ6RQKDrMETfbWCFORESDl9QyPb4H+/CeSjP4J6PNHDpw3VqJYgED4jHIzFZtFIRSqZDnbpfUihtp39miOrUK2Ul6DMswyI/9b/1xfLC1Are9tc3vvX760kbPa5T47Pb5uO8nY/HRL+ZBrRq4XymdfS2TlVnpREQ0uEktS3uama5UKkJqt5YUFzzYw1ZtRDRY2V1uOFxiZm68rv8uglL003axZx6Waejw2Bc+yemHPcHx4REQEAeAk0Zl+t1nhTgREQ1m7b3ch/dEmsG7F89N1uPu00f329ciikUMiMcgq9MNoH9/+VJ0ki5g7yhvBgBM9Kno1muUUCkVWP6bRXIbt91B5oRbHS7UGW0AgIfPm4BJ+Sm4eeEwjM0NT6u2QNLIACIiosFKapke30/ngok6tdx1hoiIAItPZayhH+dGUvTrrGU6AAxN7xgQL2+yABALH6TbIyIkIH7FzAK8ffMc3HOGeDHezBniREQ0iA1MQNxbIT53WDoU3JgT9QgD4jHG4XLD5ekZre/H9hwUnaSW6NvKWgAAk/K9AXG3mEcBhUKBTM8sMGkmKCAGwgGg3hMM16qVuGRGfn8vucfMdpf8b4CIiGgw6k3L9J5QKhUdxqxcMaugX74WEVE0MHsqY3VqJbtlUFCnjs0CANy4oLjTY4ZmdAyI17RZAYizQt0CkJesR1aivn8W2UNqlRJzh6fL80wtNlaIExHR4OVtmd5/yZHSZy4AFKbH99vXIYpVTF2OMVJFECBW/BL5StT7/5MfnunNLG9t91ZWZybqUNnSjqqWdvmxRrMdQ1LiUG8SA+KZCbqIzUIz2ZzyfFMiIqLBRjofjOvHKsXkOI187nDu5Dz88Zzx/fa1iIginZSIZODYMurE81dNR53RhryUuE6PSY7TIM2g9UtMl/bkW0rFLm/Th6b170J7QTrfMLNlOhERDWLS+WB/dWoDgDSfgHikJMgRRRNGTGOMVMWrUHQ9m4oGp8CZn1lJOswqToNWpcTi0d75X1mJYoX48UaL/JhUGV7XZpNfGym0aiUWjMiQ77NtOhERDWaWfq4QB+CXeDatMIWdiYhoUDMPwO9dim5qlbLLYLhkWmGq3/3qVisEQcC2Mk9AvDClP5Z3QgyeC//tbJlORESDmMWTGNafLdN9g+2+wXEiCg0jpjHG5hD7XuvVqoit3qXwEQI6iafEa/H2zXOw7YHTkJ7gDXBnJnYMdksBcd8K8Uhx2thsvHHTbGR41tTWzsx0IiIavKz9PEMc8A+I5yR3f4GfiCiWSa2iDToGxOnELBiR7nffYnehzerEkXoTAGBsblI4ltWleLlCnAFxIiIavNo9cZn+TJBUKBS4bt5QzBqahiVjMrt/ARH5YUA8xnhbZHIjTh21WLyt166cXYgp+SlQKRVICGjtVxRkBokcEPfMMIuECvF3fjYH507Ow4PniW1ac5LFNZU1Wbp6GRERUUwbiMx0m9N70XtkdkIXRxIRxT6L3CKTLdPpxCydkANArPqSks8qmi2oahH34UXpHeeMh5t0PcF3DBsREdFg0+7Zh/dnYjoA/Onc8Xjv53OhUzP+Q9RTDIjHGKkiSK/mXy111OwTEP/LBROhVAbvIjAmp2PWudwy3fP/SJhTMmdYOp6+YqpcGT4qOxEAUFJrDOeyiIiIwmogWqafMjYbAPCrU0ZieCYD4kQ0uJkH6AIoxb7c5DisuHsxvvjlAhSkiR1YVh6sh8stQKtWyuPNIklRhphQX2+0odln/jkREdFgIu/DeT5IFLEYNY0xVqllOmeXURCXzSwAAMwbnt7lcWNyEzs8Vt4sVl2XeuaKR+JGXAqIH6ozhXklRERE4TMQLdNvWTgMP953Ku46bVS/fQ0iomjBCnHqS8UZBuSlxGHBCLEV6uPfHgQAFKTGdZrUHk5Jeg2GerrM7a1qC/NqiIiIwsNoFRMkE/Wabo4konBhQDzGSC3TdQyIUxDXzy/Gq9fPxAtXT+/yuGDzwTccaUR1azu2lDYBAGYVp/XLGk/EKE/L1kM1rBAnIqLBayAy0xUKBTIjMDmOiCgcpN+7nCFOfem0cdl+99XKyL2EN35IMgBgT1VrmFdCREQUHm1WcXRIchwTJIkiVeSeTVOvSBVBcRr+1VJHGpUSi0dndZupplAocPH0fGhUCvzujDEAgMqWdsx95Ac4XAKGZRowLALbo47MEivEjzaY4HC5w7waIiKi8DDbxMx0AysViYj6xaajjTjnX2ux1xP8s9jYMp363tSCFJzpmSkOBO/kFinG54lj11ghTkREg5EgCKwQJ4oCjJrGGHmGOCvE6QQ9fvEkbH/gdNy6eHiH5xaOzAzDiro3JCUOBq0KDpeA0kZzuJdDREQUFkZPYCZBz4A4EVF/uOzFjdhd2Yq7398FADCzZTr1A6VSgeeumo419yzBNXOLcPfpo8O9pE6NyRGD9SW17NZGRESDj8XugsstABBHiRBRZGJAPMYwIE59RaFQIEEnXtD51ckj/J6b4GmHFmmUSgVGSHPEazlHnIiIBiepQlz6HCcior7x9e5qPPj5Xvm+ySa2xmy3S505uA+nvleQFo+HzpuAgrT4cC+lU95ubWY42a2NiIgGGaldukalgJ6de4kiFv91xhirQ9x48Bcv9aW7Th/tVyk+YUhSGFfTtVFZYiv3g5wjTkREg5TZJs2yZUCciKgv3frmNryy7rh8Py1eC8BbIR7HCnEapIakxEGvUcLudKO8uT3cyyEiIhpQbe1icmSSXgOFQhHm1RBRZxg1jWJGqwOXv7gB/1t/XH6MFeLUX9INWvn28AicHy4ZLbVqq2NAnIiIBh+3W4DZzgpxIqK+JghCh8f2Vxtx5j/X4IOtFQAAg477cBqclEoFRniS09k2nYiIBoOvd1dj/qM/YGd5C4yeCvGkOLZLJ4pkDIhHsTc3lWHj0Sb88TNvyzZvhTg34tS3Lpg6BDlJelw8PR8aVeT+6hiWaQAAHGuwhHklREREA8/icEGK2TAgTkTUd6QqcF92lxv7q9vk+5whToPZ6Gyxk9yeytYwr4SIiKj/fbC1ApUt7Xh/a7ncMj1Rz3NBokgWuVEt6paUeQR4s9XbpQpxNQPi1LfSE3TY+IdT8PdLJod7KV0qTBMD4mWN5qBVHERERLFMmh+uVHCEDhFRX2o02bo9Jp4zxGkQm1qYAgDYVtYS1nUQERH1hyP1JtQbbX73AWBneatfy3Qiily8ShbFVErvX5/Jc/HT2zKdf7U0OBWkxUGhECs4Gkz2cC+HiIhoQEnnhAk6NWeXERH1oVD2Filsk0mD2LTCVADAjvIWuNxMTiciothR2mjGKU+swvnPrAMA2JwulDWJ3Un3V7ehzmgFACTFsUKcKJIxahrF2j3zIQGgptUKp8sNm5MzxGlw06lVyE3SAwDKmsxhXg0REVH/a7e75K4oJivnhxMR9YfACvFgv2fTE3QDtRyiiDM6JxEGrQomm1OumiMiIooFKw7UAQAqW9phsjlR2miBlPvldAvYeLQJACvEiSIdA+JRrNHszVA/7R+rccqTq+T2HHEMiNMgVpgeDwAobeQccSIiim3HGsyY8tB3uO+TPQC8LdMTOLuMiKhPBVaIP3rRxA7HZCRoB2o5RBFHpVRgRHYiAOBwHQPiREQUO8qb2+XbJbVGHAn4nPvBEzDnDHGiyMaAeBRrMvtvyEsbLdhT1QqALdNpcCtIFQPiVS3t3RxJREQUXR79+gAWPb4CN/1vC1Ydqsf/1h+HzenGW5vKAABtngpxAyvEiYj6VGCF+KziNPzwm0V+j6XEMyBOg9vwDAMA4CgrxImIKIbsqWyVb5fUmjrthDJhSPJALYmIeoFXyqJYYEAc8FbEJnF2GQ1iUlWcxe4K80qIiIj61vOrjgAQz/mW7a/FLYuGyc8dbzDj529sBcCW6UREfa0xYP+dYdAhK1Hv95hKqRjIJRFFnGGZnoB4A8eXERFR7DhQY5Rv3/PhLkwpSAEAzBmWJrdLH5+XhLMn5YVjeUQUIpYRR7FGU8eAuGREVsIAroQosug9IwPaHQyIExFRbHO6BPn24r+vlG+3MymMiKhPNXgqxCflJ+OV62ZCyeA3UQfDMsVrUUfrGRAnIqLYYHO60Nru8HtsR3kLAODi6QVI0quREq/B01dMZXIkUYRj6UiU2l/dhspO2kErFMDwTAbEafDSq8WAuNXhDvNKiIiI+o41SKJXndEW5EhgX3Vbfy+HiGhQkRLSb1xQjCVjssK8GqLIVOxpmX68kQFxIiKKDc1mMRiuVABnT8rDZzur5OemFCRj2V2LoFYpkWbg6ByiSMcK8Sj1x0/3dvpcYVq8XCFLNBjFacVfbTZWiBMRUQwJzEoHgJJaY5AjgT/8ZGx/L4eIaFBpNIsJSBkJujCvhChy5SSJYwRaLA7YnUxQJyKi6CedA6YZdLhmbpH8uEqpQGGaAVlJegbDiaIEA+JRSmrXdtuS4fjqVychSe8t9h+ZlRiuZRFFBLZMJyKiWNRi6RgQ951lJvnTOeNw5ezCgVgSEdGgIVWIpyf4X/CcNTQNgNhKnWiwS47TyO1imy2dj/kjIiKKFk1mzzmgQYuxuUny49MKU6BVM7xGFE34LzZKGW1OAMBZE/MwLi8JD543Xn5udnFauJZFFBG8LdMZECciotjhWyEer/XvBvTohRPl2xOGJEOh4OwyIqK+4nILaLJIF0P9K8T/9dOp+NXJI/DC1dPDsTSiiKJUKpAaLyaNSIUcRERE0UwKiKcZtDDo1Fg4KhOp8Rr87eLJYV4ZEfUUZ4hHKZNVDIgneirDk+M08nPnTx0SljURRQq9ljPEiYgo9kgB8ckFKUg3aPHDgTr5uXnDM+Tb+anxA742IqJY1myxQxAAhQJIjdf4PZedpMddp48O08qIIk9GghYNJpscQCAiIopmUpegNE+XoFevmwmb0404LUfWEkUbBsSjkMPllltBJ+jEv8J5wzOwcFQmZhalIjORM81ocNN72tWwZToREcUSKSCeHKdBbrJefjzNoEVBWhzuOWM0rHYXcnyeIyKiEydVuqbGa6FWsdEeUVeksQJSAIGIiCia+bZMB8RuKAyGE0UnBsSjkNnTLh0AEjwV4nqNCq/dMCtcSyKKKNIMcbZMJyKiWOIbEJ8xNBVvbioDAEwvSoVCocAvFo8I5/KIiGKWPD/coO3mSCJK84wVYMt0IiKKBY0+LdOJKLoxtTkKGT3t0vUaJTTMTifqQMrSsznZMp2IiGKHNyCuxsKRmfLjxRmGcC2JiGhQkAJ7UuUrEXVOShxhy3QiIooFTWbPeSAD4kRRj9HUKCQFxBN0mm6OJBqc9GoxIN5uZ4U4ERHFjjZPQDwlTov0BB1OGpkBtVKBi6blh3llRESxzeTp0pao5x6cqDsZbJlOREQRRBAENJ9AktaxBjMAID81vq+WRERhwpbpUci7GedfH1Eweo2Y62O0OmB3uqFVM/eHiIiiX4tF3MQnx4kBmWevnIYWiwMFadyYExH1J6tD7DwljWYios5JLdMbWSFOREQR4P5P9+CNjWX48Na5mF6U1qPX2p1uHK0XA+KjcxL7Y3lENIAYJYpCJptYHcSAOFFw0oUqs92Fc/61FoIghHlFREREJy5wdlmiXsNgOBHRALA5xc5TeibaEnUrXh5hxo5tREQUXuVNFryxsQwA8N3e2h6//liDGU63gESdGrnJ+r5eHhENMO7mopC3ZToD4kTB+FZuHKw1cpY4ERHFhGaLf0CciIgGhlQhrtPwEgpRd3SexBGrgwFxIiIKr+/2eYPgven0c7DWCAAYlZMIhULRZ+siovDgbi4KMSBO1DV9wIUqu4sBcSIiCq8j9SbMe2Q5XttwvNfv0WRiQJyIKBy8FeJsmU7UHSngICWSEBERhUurxTu+o83q6PHrj9abAAAjMhP6bE1EFD6MqEYhaYZ4AlumEwUVmPFnc7gBdrUhIqIweujzfahqteKBT/fimrlDe/x6QRA6tEwnIqKBYWOFOFHIpApxtkwnIqJwM3riKADQ2h56QPyfy0rw6vpjaLaIr8lPjevztRHRwONuLgoZPdlMiawQJwpKo2KFOBERRZbetg2Vstgtdpc8AiQ9gQFxIqKBxApxotDpWCFOREQRwuwTEG9rd3ZxpJfT5cazKw/LwXAAGMKAOFFMYEA8Ch1vsAAAspJY8koUChtnlxERUZj1ZtzY2pIGTPrTd3jw871o8lSH69RKxPVi9hkREfUeZ4gThU4aYcYKcSIiCoc2qwOvbTiOBpNN7rQrPR6KraXNcjK6JC+FAXGiWMAS4ygjCAI2H28CAMwoSg3zaoiiQ+BJDBER0UBT9iIi/u3eGgDAK+uOIy9Z3ICnG7RQ9Ca6TkREvSZXiDMhiahbOjUrxImIKHze3lSGR74+gAM1Rphs3uSsthBbpq86VN/hsSEMiBPFBKY3R5myJgvqjTZoVUpMLkgJ93KIooKdAXEiIgoz34C4IAghvcY3g/25VUcAAGlsl05ENODkCnE1L6EQdYcV4kREFE5VLe0AgI1HGv1aphutobVM33xMLEZMjtPIj+Uks1MvUSzgbi7K7K82AgDG5iYyO50oRKwQJyKicPMt6rbYXXC6uv9sqmhul29LLdPTDLo+XxsREXWNFeJEofOtEA81CZCIiKivNHlmfx9tMKO00Sw/XtnSjl+/sx0bjzYGfZ0gCKg32rCltBkAcOXsQvk5jYphNKJYwH/JUcboqRRKNbA6iKgry3+zSL7NzHQiIgo3l9t7QXh7WQsmP/gd/vbNgS5fU+kTEJecNCKjz9dGRERdY4U4UeikCnGAyelERDTwWix2+XaDye733Cc7qnD5ixv9ZotL/vDxbsz8yzIAQGaiDneeNgpXzCrEU5dN6df1EtHA4W4uyki/rBN0HP9O1JXhmQnyWAG2TCcionDz3XD/7sNdMNtdeHblkU6PtzvdqDVaAQAvXD0deo0SwzMNuHpuUb+vlYiI/EkJtjpWiBN1S6oQBxgQJyKigSd1V+vKJ9srOzy2fH+dfPvXp46ERqXEIxdOxPlTh/Tp+ogofBhVjTJmBsSJQqZTSbPLuAknIqLwMvnMK6ts6Vj57cvtFrDyYB0EQaxGPH1cNtb+7mToNSq26yUiCgMbK8SJQqZRKaBUAG4BsDlcgM8MViIiov7W4mmZ3pVjDWa/+21WB+qMNgDAtvtPQxq78xLFJEZVo4yRAXGikOk0UkBcrOg4XGdCTrKe/36IiGjAGYO0ZAMAh8sNjUqJ2jYr9le3YfHoLNz3yW68vbkcADCtMBUKhQIZCZwdTkQULlbOECcKmUKhgE6tQrvDBZtTnCOuUCjCvSwiIhokglWIj8lJxIEao3z/UK0RT353EDsqWtHa7sCti4YBALISdQyGE8UwpjdHGam6KEHPgB5Rd6QKDrvTjd0VrTj1yVU4/5l1YV4VERENRr4V4r7qPVnov3x7O6575Uc8s+Iw3t9SAUDctD91+ZSBWiIREXWCFeJEPSPNET9QY8SMPy/D3e/v5CgzIiLqd1aHC+0OMZExK9GbVH7lHP/RY2tKGvD0D4ex+lA9dpa34OdvbAMgjuAkotjFqGqUYct0otBp1d6W6V/srgIgVokTERENJKfLLW/KA32/rxZjc5Ow+VgTAODxbw8CAGYXp+HdW+YO2BqJiKhzVgcrxIl6Qvy34sCqQ3VoNNvxwdYKuAUBT1wymdXiRETUb5otYnW4WqnAktFZeHdLOeK1Klw+swDHG8xwuQW8uv54p68fnmUYoJUSUTgwvTnKmBgQJwqZTi1esLI73dCqvL/uXlp9lNnpRETU7xwusU2o2eYfDL9g6hBMLkgBAPzxs7249IUNHV67cFTmQCyRiIhCYHOyQpyoJ6R/K5XN7fJjH22rxF3v7QzXkoiIaBCQ2qWnGrSYPSwNgBhH0aiUuP/scbjr9FHysWkGLc6elIuTRmbIj50zKW9gF0xEA4pR1Shj9LTbNDAgTtQtnU+FuNInC/0vX+2HTqPENXOHhmllREQU64xWB055YhXSE3RYOj5bfvyT2+Zjcn4ybn1jG7q6JDwsg5npRESRQBAEOSDOCnGi0Ej/VipbxIB4RoIWDSY7Pt5eifvPHsf5rERE1C9aLQ4AQEqcBotHZyEnSY8FPgHvJL1Gvn3TScX4xeIRqGuz4lfvbMcZ43Mwe1j6gK+ZiAYOo6pRxmznDHGiUMkt0x0umO3+1Xl7K9vCsSQiIhokjtabUWe0oc5ow/5q8TMnN1mPKZ7K8Owknd/xCTo1Ug0alDeJF46HcXYZEVFEsPl0lmKFOFFopH8rh2rFkWW3Lh6B51cdQb3RhsrmdgbEiYioX7R5igmT4jRIM2ix/vcnI3BSx2+XjsaW4024bt5QAEBWkh7v/IzjyogGA+7moozJ80s9kRXiRN2SK8RdbnmGjCTFoAn2EiIioj5hsXecGZ6Z6A2CZyXp/Z777s6FOHWst5K8KD2+/xZHREQhszl8A+KsECcKhS6gm0JGghYFqXEAgPJmSziWREREg0DguFmlUgFFQET8tiUj8Mr1sxCvZXyFaLBhQDzKSL/U2TKdqHvSBSubw41ms39AXBDCsSIiIhos2h3ODo9lJngD4tk+AfGTRmYgLyVOrh4H2JaXiChS2JxigpNSAWhUim6OJiIAaA9IDMxI0CE/VUz2q2BAnIiI+onJKrZMZ3ddIgqGvxmijDRDPIEBcaJuaX1miDd7ZshIWgPuExER9aVgFeIZfgFx7+10T9vQcyfnodFkx6T85P5fIBERhcTqqRDXqVUdKoyIKLiDtUa/++kJWuR7KsQrmtvRbnfhgU/3YMHIDJw3ZUg4lkhERDFIKiZkd10iCoa/GaKIw+WW55clMsuJqFtSy3S7042WgJbpre0MiBMRUf+RKqPUSgWcbrEtiW/LdN8K8TSD+LhCocANC4oHcJVERNSddof4+zxOy84dRKGyO91+930rxLeVNePZlYfx/tYKvL+1ggFxIiLqM0YbiwmJqHNsmR5FzDZv6022TCfqnjxD3OnqWCHuCYjXtllxrME84GsjIqLYJgVQfGeB+wXEE70B8QQdgyxERJHKO7aMv6uJQnXdvKF+91PjtXIHnD2VbfjXD4fl55wu/+A5ERFRb5mk7rosJiSiIBgQjyJSu3SdWgmNin91RN3RemaIt9tdaPPMkHnikskAgA1HG/H+lnIsenwFlvx9JeqM1rCtk4iIYo/UMr04wyA/5tvhJynOe1uqICcioshjsXsC4lpeWCUK1R9+Mhaf3jYfty0ZjgfOHgeVUoEJQ5I7BMoBoKaNe3EiIuobHDdLRF3p86jqn/70JygUCr//xowZIz9vtVpx2223IT09HQkJCbjoootQW1vb18uISWbPRpzt0olCI1WIH280QxAArUqJoT6Bid9+sEueCbinsjUsayQiotgkBcRzkvVBn/edQ6tSciYtEVGkMssV4tyHE4VKq1ZickEKfrt0jN84mJ9MzO1wbHlT+0AujYiIYpg8Q5zxEyIKol/KjMePH4/q6mr5v7Vr18rP3Xnnnfj888/x/vvvY9WqVaiqqsKFF17YH8uIOVLLD27EiUKj04i/4o7Uiy3R89PikBqvCXpsZQuz0omIqO9YPS3T47VqnDYuGxkJWpwyNtvvmFsWDUNOkh5Xzy0KxxKJKMYwOb1/mG3i73Puw4lO3Pi8pA6PVTRbwrASIiKKRVL8JFEf/PovEQ1u/bKjU6vVyMnJ6fB4a2sr/vvf/+Ktt97CySefDAB45ZVXMHbsWGzcuBFz5szpj+XEDKONLT+IeiJO4z/nrygtHslxwU+ISjlHnIiI+pDUYjdOo8KLV0+HwyVAq/bPRb33zLH4/Rlj/KrFiYhOxPjx47Fs2TL5vlrt3Tveeeed+PLLL/H+++8jOTkZt99+Oy688EKsW7cuHEuNGma5ZTpniBOdqGCJJSsP1uOSGQVhWA0REcUaxk+IqCv9UiFeUlKCvLw8DBs2DFdeeSXKysoAAFu3boXD4cCpp54qHztmzBgUFhZiw4YNnb6fzWZDW1ub33+DkZm/0Il6JCVe63e/KN2ApE4C4v9Zewzf72OFDBER9Q2pZXqcVgWFQtEhGC5hMJyI+pKUnC79l5GRAcCbnP7kk0/i5JNPxvTp0/HKK69g/fr12LhxY5hXHdlYIU7Ut169fiaumlOIB88dDwD4cnc11h1uCPOqiIgoFphsDgBAAlumE1EQfR4Qnz17Nl599VV88803eO6553Ds2DGcdNJJMBqNqKmpgVarRUpKit9rsrOzUVNT0+l7PvLII0hOTpb/KygYnJmjUssPBsSJQhPYHr0oPR4alRKXdZJ9/tev9g/EsoiIaBBot0st01lRSEQDh8npfU+eIc7f50R9YvHoLPz5/Im4ak4R5g1PBwB8t7fza4JEREShklumM35CREH0eUD8zDPPxCWXXIJJkyZh6dKl+Oqrr9DS0oL33nuv1+957733orW1Vf6vvLy8D1ccPUxShTgznIhCkmYIrBCPBwA8dvEk7HjgNNy0oBif3DYfSk9x3rEGMxpMtoFeJhERxSC5QlzDAAoRDQwmp/cPuWU6L6wS9SmVUoGr5xQBADYcbQzzaoiIKNoJgsD4CRF1qV9apvtKSUnBqFGjcPjwYeTk5MBut6OlpcXvmNra2qAzxyU6nQ5JSUl+/w1GJrZMJ+qRJL1GDnYDQF5KnHw7JV6L/zt7HKYUpODQn8/EmJxEAGCrNiIi6hPtDqlCnOdtRDQwmJzeP+QKce7DifrcnGFihfihWhOazXb8a3kJLn1+Az7fWRXmlfWfv3y5Dwse+4Ej24iI+li7wwWHSwAAJOqDj8wkosGt3wPiJpMJR44cQW5uLqZPnw6NRoPly5fLzx88eBBlZWWYO3dufy8l6rFlOlHPKJUK6H0q83KT4oIep1YpMbUwBYBYJQ4Af//2IM7791o0m+39vk4iIoo97fIM8X4/3SYiCorJ6X3D7Pl9zpbpRH0v1aBFVqIOAHC80Ywnvj+Ezceb8Mu3t8Ppcod5dV4Ha4x90tZdEAT8d+0xVDS34+bXtuBwnakPVkdERABQ1yZ2/YzXqhg/IaKg+vwK3d13341Vq1bh+PHjWL9+PS644AKoVCpcccUVSE5Oxo033oi77roLK1aswNatW3H99ddj7ty5mDNnTl8vJeawQpyo52xO7yY6Ka7zfzs5nmB5TasVTpcb/15xGDsrWvHimqP9vsZweeTr/Zj28PdyEgAREfUdi6fFbpyG521EFB5MTu8bFs8+PJ77cKJ+kZ2kB9Cxbfr+amM4lhPU1f/dhJ+9vhVf7ApeuS4IAg7WGOFyC12+T73RBt9D/rHsUF8uk4ho0PhqdzXWB3T5rDOKAfFMT6IVEVGgPg+IV1RU4IorrsDo0aNx6aWXIj09HRs3bkRmZiYA4B//+AfOPvtsXHTRRVi4cCFycnLw0Ucf9fUyYhJnYBD1nO+GVKFQdHpcTrJ4slTTZsXhem+W9qYYnWVW02rFC6uOoslsx2sbjod7OUREMUeqEI9nRSERDRAmp/cPs038fc7EdKL+IQXEVx+q93v8x+NN4VhOB3anWw6yPLPiSNBjPthagaVPrcY/l5d0+V6Hav0rwreVNvfNIomIBpG6Nit+8eY2/PQ/m2D3KYSq9/yuzmJAnIg60ec7unfeeafL5/V6PZ555hk888wzff2lY5rV4cKqg+LmgLPLiPpeTrK3QnxHWYv8+PbyFjhcbmhUkdHytrXdgaqWdozNPbF2lR9uq5Bv7yhvOcFVERFRIIuDAXEiGlhScnpjYyMyMzOxYMGCDsnpSqUSF110EWw2G5YuXYpnn302zKuOfGY7Z4gT9afsJDFwsfGofwB8e4TsU8ubLfLtAzVtMNmcHRJkHvp8HwDg6eUl+PUpI6FUBk/GX3WoDgAwZ1gaNh5tQnWrFUarg7NuiYh6oNnikG/vr27D5IIUAECd0QqAFeJE1LnIiPBQt55deQRGT4V4IjfiRH0ux5OVXt1qxWc7vW3QBAFotkTOHPFr/rsJZ/5zDXZXtJ7Q++yqaJFv7yxvQV2b9QRXRkREkmazHS2eTXpWoj7MqyGiweKdd95BVVUVbDYbKioq8M4772D48OHy81JyelNTE8xmMz766KMu54cTUN5kwd6qNgCcIU7UX6QKccn8EekAgEqfQHQ4lTZ6R4wJgv9eWqJVey+v7gzyPABsLW3GS2uOAQBmDU2TEwEipRKeiChaGK3egLj0O1cQBOzyXCvlHpyIOsOAeJT4ZHulfJuzy4hCd88Zo/3+3xkpIN7a7sD6I43Q+WxoG02RERA/3mDGTs/J3bd7a4Ie09ruwAOf7sHeqq4D5gdrvPPY3ALw9ubyvlsoEdEgt71cbH85LNOA5HhW/BARRavHvjkg3041aMO4EqLYleMTEB+WacAtC8VEnto2sfXtpzsqMe6Bb7AuYFbsQDne4B+Yv+OdHTB7ClYAYN3hBjSavdcM1pYEX+eaErHrY6JOjSvnFKEo3QAAuOHVLSipjZx56UREkc5o9f4Olrp8vr25HB974iesECeizjAgHiV8g3Mzh6aGcSVE0eXWRcOx8u7FuHXR8C6PS4pTI07jrfo4d3IeRmUnAIicgPiXu6vl2/9ZexSHAjbNbVYH7n5/J17bUIqznl7b6ftY7E6UNomb+gfOHie+35qjfpnvRETUO4Ig4K1NZQCAqQU8ZyMiikaCIOC5lUfwxS7x/Hvx6EwMz0wI86qIYlOaT7LJQ+dOwEjPPry2zQq3W8B3+2phsbvw9uaysKzvuGefrFGJbdDrjTa8sPooAMDpcuOW17f6Hb/xWKPf/cqWdvxnzVG5Evyu00chO0mPyfnJ8jGbjrFKnIgoVEafpKQjDeLv6JfWHJUfS4pjUjoRBceAeBQQBAEVze0AgBV3L0a8lhXiRKFSKBQYmmGAQhF8hpfvcUXp8fL9EVkJSDeIGYWNZjEz3eFyY/OxJticrh6vw+0W4HILPX6dr6P13oC11eHGDa/+6Pf85S9sxPf7auX7tUHaoLvcAl7bUApBADISdLhmbhFmFKXCaHPi+VVHOxxPREShqWppxzd7avDC6qNYtl+cDzmDSYxERFFp5aF6v+rwv14wMYyrIYptkwqSEadRYXJBCuaPSEdmgg5KBeB0C2g021HTKu5rNxxphCCEvqduszpQ1njibdeP1JsAAHecMlJ+bHuZ2A2outUKkycw8/xV0wCIrdGtDu81gz99thd//nI/1h0WA+UThoiB8J8t9CbtH64znfA6iYgGC9+W6VUt7ThSb0JVS7v8GIsJiagzDIhHgapWK9odLigUQF4KZ2AQ9ZdJPhnawzMTkJ4gZqo3eCrE//3DYVz6wgY8+vWBoK/vzNbSJix47Aec+++1cJ9AULzO6B/grmhulzfaDSYb9lW3+T3/v/XH/e5/uLUCw//wlbz+sybmQK1S4qaTigEAuytber02IqLB7tfv7sDP39gq/469ZHo+Lpg6JMyrIiKi3thd4T9+KCeJ+3Ci/pKVqMf635+Md26eA4VCAbVKiYwEMTm9ptUqB8QbzXYcqg09cHz1fzdj4eMrcOOrP2JPZdcjxboiBavnj8jA57cvAADsqmiFIAgo93ReG5ZpwNLxOchL1sPqcOO/a8VZ4YIg+CWtA8DY3CQAYkvfRy8Uk22koDsREXXPt2V6vdGGU55YBZvTDQD4+o6TMCYnKVxLI6IIx4B4hGsw2TD/0R/k+zq1qoujiehETMxPkW8PyzQg3dO6rclTIf7P5SUAgFfWHe/R+z7w6V5UtVqxt6oNlT4Ziz1Vb7R1eGxfdRvcbsFvJrjkhdVHUdHszYj/zfs75duZiTo8cM54AMC4XDER4FCNCQ6Xu9frIyIajHaWt2B7WTM2+7S6nFWchr9dPAl6Dc/biIii0TZP9adEqey62xQRnZhUgxZxWu95U06ymIRytMHk1/ls6VOrsSwgwByM2y1gZ3kLAGD5gTr8/qNdvVpXm9UhzzIfnpWAUTkJUCkVaG13YM4jy+VWvQWp8VAoFPjtGaMBAC+uPgqb0+W3/9drlLhl0TAk6LxdH0dkie3hj7BCnIgoZL4V4oGkpCMiomAYEI9wz608It8en8df6ET9aVSWdy5gQVo80j1Z6c+sOCJvpntKEAS/VufBAtehqvMExF+/cZY83/zCZ9fj5CdWYpeniiU5ToNldy3CtMIUuNwC1pY04GCNES97MtQlC0ZkQOW5sJefGodEnRp2l5uZ6UREPWCxO3HFSxtxwbPr/R7/zWmjuh3VQUREkcnpcmNrqTcgftak3DCuhmhwyvZ0ZbjjnR1wBnRZu+m1LbDYncFeJmsw+yeT76ls69VeXKoOz0nSI0mvgU6twtxh6QCA2jYb/uVJmi9ME8evnTt5CHKS9Ghtd+Dcf63DgsdWAAAm5yfjwMNn4t4zx/q9//BMcV9f1WrtMsBDRERevhXiktnFaXjkQo64IaKuMSAewdxuAR9srQAAJOrV+M3po8O8IqLYNqs4Db88eQQeuXAiNColkvTezO1nVhyGVuX9lfnlruqQ5nw1Wxxo95kfdqiudwFxu9ONJrPYun1cbhKWjMmSnzveaME3e2sAANfNG4oRWQlYMCIDALDhaCNueX0LHvpin9/7SRt2QKx4kTIopblmRETUvUO1JljsLr/HHr94EmZ7LpQSEVH0KKk14qXVR/G/DaUwWp1IjtPg5etmcH44URhcNC2/y+c/3FbZ5fPVLWJVeU6SHkvHZ3teU9HjdXyyXfw6I7O9yfP/umIqzhifA8CbtF6QFgcAUCkVON8zMudgrXfvf96U4GN0Ug1aDEkRXxs4qoGIiIILFhB/95a5uGJWYRhWQ0TRhAHxCPTMisM4999r8bsPd6G13YF4rQrb7z8NS0Zndf9iIuo1hUKB35w+Wj6BGj/EO1O8rMkCp9vbTvy2t7bhulc2d/uevi3LAeBQL7LSXW4BFz8vVh+qlAqkxmtx1ewipMRr5GOkCnap5dqc4WIw5tMdVTje6F3DaeOyMbUwBdfOG+r3Nc6ZkgcAeHntMTjZNp2IKCQHa9r87mcl6nDJjIIwrYaIiHrL4XLj4uc34C9f7cfDnkTSJaMzcfKYbCTHabp5NRH1tTMm5OCWhcPk++PzknDqWO81sW2lzcFeJqtuFVuV56bo5eD6x9srg+51BUHADwdqcbzB7Pf4wRojXttQCgC4YX6x/HiqQYtfLBnud6xvwvlF0/yD31fOLsR1AftvX1MLUwAA23vZlY6IaLAJ7KgRr+WoMiIKDQPiEcbqcOHxbw9iV0Ur3vdUh08vSoVaxb8qooE2c6g4AxYADtQYEdCpDRXN7bA6XEFe6VXZ7D8zfE1JA8y24O3dHC43TEGeO1DTJrdEd7kFKJUKFKTF4/1b5nY4dkiqmF0+vSgVqT4B89R4DZb/ZhFeumYGPv7FfKR55qNLLpmejwSdGpUt7TjMtulERCE54Ely0qnF87TAZCMiIooO+6ra0Nruf3H1jAlslU4UTjOGpnlvF6XiP9fOxAtXTweALru1Ha03YXeluH/OTdZj8egspMZrUG+0YWdFS4fjX1pzFDe8ugVXvLTRb3//6Q6xOvy0cdl+HdrE943zu5+f6g2Ij8xORJxGDM7cuKAYf7lgIpTKzkfpTC1MBQBsL+s6yB8qBxPciSjGtXkqxC+YOgT5qXF45bqZYV4REUULRlkjzK4gLZJmF6cFOZKIBkKwVm1qn81sd23TK1vEgPgZ43NQlB6PRrMd7/xY3uE4QRBwyfMbMPPPy/DQ5/tQ3uSt6t7hkynuG+QemZ3YoR1Qvqfdmk6twsXTvWu/87RR8nyyYPQaFYZmiJv48qb2To8jIiKvQ55WmA+dNx4f/2Iebj5pWDevICKiSLTNE4hSKxXISNDitiXD5TbLRBQes4rTkBKvQUFaHO46TRwhKHVEO1xngjswYx1AeZMFJz+xCs+sOAJADFxr1Up5RFhpo38HtzarA49+fQAAUN1qxeueinBBEPDFrmoAwHmebmq+0gMSzAvT4/3uf3zbPNy6eDh+c/qobr9PuUK8rAWC0PF76oldFS2Y9Zdl+O37O0/offrTpzsq8ejXB+AK8vdHRBQKqWX6+VOHYO3vTubIMiIKmbr7Q2ggbQuSESrNHyKigadSKrBkdCZWHKwHADx47nhML0rFhc+uh93lxqFaIyb4tFYPVOGpEB+aYcDkghQ89s0BvwC35HCdSX785XXHUFJnxOs3zgYArD5ULx/3/FXT/V6Xm6yXb2tVSmQk6OT7ty4egUaTHWNyE3HV7KJuv9eC1HjsqWzzC8b31rrDDShvsuByzu8hohh2rF5srTkiK1Gu7iEiouizrawFAHDHKSNx+8kjoFB0Xs1JRAMjOU6DlXcvhlqlRIJOvHxZlBYPjUqBdocLVZahnJkAAQAASURBVK3tfpXZALDyYJ3f/TxPwni+p5NaRUAHt3UlDX6d4P6x7BDOnpwLu9ONsiYLNCpF0PGFgRXfSXr/0QpjcpIw5oykkL7P8XlJ0KqUaDTbUd7U3iG4Hiq3W8C5/14HAHh/awUev2Ryr96nv93xzg4AwPBMA0cNEVGvtFjsAIAkPUNbRNQzrBAPM6vDhS93VaPNM/vix2NNAMR5ZQBw7dyiDif4RDSw/nnFVCy7ayGOP3oWrp03FBOGJOOymeLG7WBt1zPBpQ33kNQ4OZv9WIN/VfmhWiPe3uxfNb7ucAPqjTZ8trMK3+6tBQC8fN2MDlmPOT4B8bwUvd/GPM2gxZOXTcHPFg7vskWbRJp7Vt58YgFxt1vAlf/ZhN9/tBv7q9u6f0GYrDpUj0e+3s+Z6UTUK1aHC9VtVgDA0F5euCQiovBzuQWsLRETUGcWpzEYThRBUuK1cjAcANQqJYamGwAE79Z2qNb/sRlFYsJiQarUDc1/r/vt3hoAwPXzh2JaYQosdhfe2VyOtYcbAIjtzA26/g246NQqjMsTg+erDtV1c3TnSgO+t0hsne7bkn79kcYwroSIopXV4UKNZx8uXcckIgoV02jC7OnlJXh25RGcPCYLz145TT4h/O3SMXj8kslIi9d28w5E1N+S9JoOGd9ScPuopzowkNPlxn0f78Gy/WIwOz81Tj5RO1ZvhiAIUCgUKGu0YOlTqyF1RvvrBRPx7pZy7CxvwbL9tfjS06ZtVnEaFo/qmJme5zO7LDtJ3+H5nsj3rO+Vdcfx+c4qvHTNjF5VPB5v9P6Z1LRa5fZ0kebalzcDAEZmJfq1lyciCkVFswWCACTo1Egz8HyNiCiarDvcgD98vBszh6bh3Ml5aLY4kBynwfQidvsginTFGQaU1Jk6tD8H0GFGuNTNLT/Nv0LcaHXgxv9twWZPUcpZE3MxKT8Z28pa8PmuKnkPO394Rn99G36mFaZiR3kL7v90L3KS4zB/RDpMVieyerDH3xXwvdcZbRiSEhf84DCp9QSxAATtnEdE1J3SRnEfnqjnPpyIeo4V4mH2xkZxPtEPB+qw8Wgj2h0u5CbrMTY3ERkJupCqOolo4BVniFnpxxqCB8S/21eLd7d4q74LUuNQkBoPlVIBs92F2jYbAODH403wHRN26rgszC5OAwAcqG7DTs8m8Y/njAv6+2DG0FR5kytllfdWQap3s9xgsuOCZ9fjnc1lflncodhT5a0KrzfZTmhN/cX3e6ps5sx0Iuo56SJsYVo8qwmJiKLMR9sqUdpowQdbK3CNJ0ly8ehMaFS8REIU6YYG7MWbzXY0mGxoNtux12cves7kPKg8e2i5QtzTDW3VoXo5GH7TgmLMGJqGU8dmQ6tW4mi9WU5Mn1nceZLM1XPEsWSXzzzxtt+3Lh6OSfli8P7m17Zg3APfYvYjy/H5zqqQXr+jvAVrShr8HvMNPkeKmlbvmo41mGFz9uxaAxGR9Lt/WIaB+3Ai6jHu9sLMN5Pp+31iJemSMVn8hU4U4aSAeFmjBS63ALdbQHWrN7D6yrpjfsfnpcRBq1bKVeIldWKrdd/XKBRAVqJefu/lB+pgtDkRp1FhdHZi0HXoNSosu2sRnr9qGu48bdQJfU8Tg8xC//1HuzHm/m+wymeOeVe2lTXjV29vl+/7bngjiW8Vu9Mdea3kiCjyHfcExIdmsE0bEVG0qWzxryxVKIDr5xeHaTVE1BNSy/TSRjOsDhfO+OdqnPbkKny+qwout4AxOYn48Na5eOyiifJrCjz78Irmdnyzp1putz45Pxn/d/Y4AECiXoMp+Snya5QKYJLP/UB/+MlY/OeaGfjjOeNP+HvKTNTho1vn4fwpefJjggDc9/FumGzOLl+7rawZ5z+zDh9srfB7vLabvbjR6sB7P5bD6nDBZHPC7TtMvZ/UBATpq1oi83oBEUUuKSAuJUcREfUEA+JhplOr5NtvbioDAJw8umNbZCKKLHkpcdCqlLC73KhqacdDX+zD3Ed+wPf7arG7ohU/Hm/2Oz5eK06omOZpQS7NKjvW4L0Y98aNswF4g+1SO7eJQ5Kh7qJaJU6rwhkTcju0de+p9AQdXrluJoakxMnZ6ZI1IQTEjzWYcfmLG/0eW32ovtdZ3+VNFhysMUIQ+n5jfqTOGxCvjtCgPRFFNulCalE6N+JERNFGOs8emZWAISlx+OWSEZhSkBLeRRFRSIami8Ht0kYLPt5eido2G5otDvx3rZiUfvq4bEwvSpP34ACQlahDXrLYfvznb2zDU8tKxGPH5/i999SiFPn2qOxEv/nlgeK0Kpw6LhtxWlWnx/SEWqXEE5dOwd8umoTXbpiFrEQd2qxOHKxp6/J1Kw54544PTY/HSSPFNu+//WBX0G5vJbVGfL+vFvd8sAv3fLgLl76wATP+/D3u+XCX33H9sQ8PrFpntzYi6qkj9eI+fCj34UTUC5whHma1Rv+TQZ1aifkjBmZGERH1nkqpQFF6PErqTDjaYMar648DAB79ej9mD0vv9HXnT83Dh9sq8MbGMpw0MlOuFP/XFVPlf/vFAVmOUwpT+uV7CGbJmCys+/3JAACTzYnFj69Eg8kmt5bryn/WHIXd6cao7ARkJ+mxpqQBW0qbce9Hu3HSyAykxmux2JPw02px4P2t5ZhWlIrHvzmIk0Zl4MdjTWhpd+B/N8xCo8mOpU+tht3pxpWzC/GXCyZ289V7RgpkAf5V+kREodpeJiY+Te6icoiIiCKP0+WWuxi9fuNs5CSHPqOXiMKvyLNfLm+24EOfqmhpnM3Uoo5tzhUKBSYXpKCqtcbv8cC9t5TADgCLRmX22ZpDpVIqcKmnBfvwzATUGW0obbRgelFap6/ZdFRs/V6YFo+3bp6DZ1YcBiDu519edwxLRmdhRFYCNColWix2XPbiRjSZ7fLrd1W0AgA+2FqB350xBj9/YytKGy1otzvxvxtmYcbQzr92KD7eLl7/ePLSyR2S0StCuM5ARCQIgtxNVxotOSFIl0siou4wIB5G7XYXWiwOv8d+MjG3z7JLiah/FWcYUFJnwrF6b3DVLQBbjosb0ofPG48PtlbgytlF8vPzhmdg4pBk7K5sxS2vb/V7L0lWog7xWhUsdjGbO1zVKgk6Nf528UTc8OoW+eJCZ2parXKLtofOm4B2u0ueYfbRtkp8tK0SAFDylzOhUSnx0Bf78OE278WLDUcb5dsPfrYPaQYN7E6xlfmbm8qQmajD1MJUTCtMQWIvKuGPNZixq6IF84ZnIDNRh8M+f2fVbNNGRD1gdbhgd7lxsFZMaJoe5KIrERFFrlqjDU63AI1KgaxEXbiXQ0Q9lJukh1athN3pxpbS5g7PF3dSNThvRAa+3tN1QHzBiAxMzk/GsMyEEx5JdqIK0+Kx4Whjp3vxz3dW4Zc+48r+d8Ms5KXEYWphqtyB8m/fHMTfvjmIK2YV4Ko5Rfj3D4f9guGBfvfhLmz1+TO9672dePOm2ShvtmDusPQejXdsMNnwk3+uQZ3RBgD402d7O7y+soXJ6UTUtU1HG3HtK5tx3uQhuHlhMUo8BS5TB7B4iIhiBwPiYeQ7OycnSY/Wdgd+ferIMK6IiHpC2jwf99mgtljsaGkXE13OmJCLq+cO9XuNSqnA+z+fizOeWi2/bkxOIkZmJ8jHKBQKzB+Rge/31QIIX0AcAArTPNn3TRZUt7bj3R/Lce3coUg1aAEAZpsTFc3teHX9cdicbswcmorZxWlyC6NAo/7va7xx42x8ubuq06/pGyifnJ+MnRWtcku7ucPS8fbP5vToe9hT2YoLn10Pu8uNNIMW/7x8Co74VYhb/bJNiYiCsTpc+MWb27DyYB3OnzIEggAUpccjk8EUIqKoIrXozU2Og1LJ8z+iaKNUKlCYFu/X9UuiViqQnxoX9HVXzCxAW7sDTWY7/rv2GOK1qg4tdw06NT69fUG/rLunCj2t4Y83mvHkdwexo6IVF0/Px7mTxTnjd767Qz52WKZBbiV/4dQh0GuUuP0tb7D87c3leHtzuXy/KD0eSoUCxxrMiNOooFYpYLQ68YOn/fqlM/Lx3b5alDVZcNLfVgAAnrx0Mi6clh/y+t/bUi4HwwFgxUHvGLafTMzBV7tr5PEVRETBtLY7cPcHO2F1uPHulnK8u0X8PTY0PR4ZCdyHE1HPMSAeRrsqWgAAI7IS8PbNc2BzupCfGh/eRRFRyKSA+MEao/xYs6frQ0FaXKdBEr1GhScunYw/fLQHN55UjEum53cIxj503njsqmhBbnIccsPYxjE/NQ4KBWC2u3DT/7Zgb1UbPttZhacum4L81Hic86+1flndv1gyAgqFAiOyEvHohRPRbHHgsW8OyM8LAnDlfzYF/Vp3nDISDSabnM0+MisBH946D+9tqcAfPt4NQKwk33S0scu29IEe+mIf7C6x2rzJbMe1L2+G22ccWrvDhXqTDVmJbJdJRMG9+2MZ7vt4D5yeXx4fbRe7Xpw8JiucyyIiol5Ye1jsYjQ8k7MniaLV0HRD0IB4QVo81Cpl0NeoVUrctmQEAODcyXlQKhQR3aGxyBPg/nSHN5l89aF6fLK9ErOL0+TzUgC4bfEI+ZqCUqnA2ZPy8PnOKhxrMCMjQYf1R7wd2UZlJ+DbXy+EQqGA2y3A4nBha2kzrn9F3CdPHJKMP58/EedOHoKrX94EaZT4x9srceG0fLjdQqfJRG63gGdXHkZNmxXf7hUT/IdlGDAiKwHfeRL+AeDcyUPw1e4abCltYnI6DRoOlxtt7Q6kM5AbEkEQcMEz61De1DFxJhwjLYgoNjAgHkavbSgFAJw1MZfVRURRSAqIbw3Spm1mN3O2phel4ds7F3b6fG5yHFb9dgm0KmVYN4d6jQpDUuJQ0dyOvVVtAICj9Wac++91QY+f6xOovnxWoec9lHjw830djv3F4uEYmm6AAAEXTM2HVq2E2eZEk9mOtYcb8PD5E6BWKfHT2YU4ZWwWHv5iH77YVY3LXtyI56+ahjMm5MLqcOHp5SWYNzwDC0Zm+L3/jvIW3PfxbuytaoNSASz/zWL87sNd2HxMbGmvVSmRlaRDRXM7DteZGBAnoqAEQcDvPtwd9LkrZxcO8GqIiOhEuNwC3v1RTL68aHrolY5EFFmkamhA7LgodWD0fbwrk8PYhS1UwzK8XeQ0KgUcLjEy/cOBOrmSe3xeEq6dOxQXThvS4fUvXD0DgNjl6P2tFahttcLhduOcSXl+wfMEnRqLRmVi5d1LUNFiwcyhadColFgwMgNf33ES9lW14a73dmLDkUbc8OqPWHu4Aa/fMAsT85NxrMGMcblJ8vutOlSPv393SF5DfmocPr19PgxaNc5/dh12VbRi0ahMLByVAb1GifIm8ToDZwHTYHDrG9uwbH8tVty9uMO4BuqozmjD0QYzAGDJ6Ez86dzxOPvptchM0uE3S0eHeXVEFK0YEA+TNqtDDqLxYipRdJJOYKXqY1/nTem4Ie0pvSYystUfPm8Crn/1x26P02uUQdd8/fxiuAXg4S/8g+ILR2ViTkClt0GnxnNXTYfLLUDlk3WenaTHr04ZiS92VQMAfv7GNrx83Qzsrzbi2ZVH8OzKIzjw8Bny128w2XDxc+vlrPkJQ5JRnGHAVXOK5IB4cYYB+alisP9InQnzhvsH1ImIAP8RNwBww/xiNJhsmDAkCSOyEsO0KiIi6gmrw4V/Li/BmJxE1LbZEK9V4fRxOeFeFhH1Uo5PF7U/nDUWb2wsxZ7KVpw1KS+Mq+pbY3MT8YefjMGROjMumZGPypZ23PHODvn5WcVpeP3GWdCpu75uoNeocPWcom6/XmF6vNymXTImJwljcpLwwdYKrD/SKAfi73x3B9odLjRbHHjovPG4xjMqbl91m/za350xBj+dVYhEvQYA8PoNs/HyumM4Z3Ie4rVqnDQyE9/vq8W6ww0MiNOgsGy/2CXhjY2luP/scWFeTeQ74OnGOSzTgFeunwUAWPu7k6FVKyO6uwcRRTYGxMOktEGcHZyRoENWEqsSiaJRZqIOiXo1jFan3+NKBbBgROwEV5eMycJVcwrxxsYyJMdpsOOB09DucOHj7ZUwWp2YUZSK+z7eg9//ZEyn73HN3CI4XG6MzErAr9/dgUSdGtMKUzs9XhWkBduo7ERcMHUIPva0Kr7h1S1+z3+0rRI/9SQY/Xisya+F3KUzCgAAp47NwrAMA443mnHBtCFoNtux/EBd0HZ7REQAcKjW//fDzxcPY0cJIqIo88/lJXhu5RH5/rBMA7Tq4G2ViSjyTcpPkW+fNTEX507Oi7nW2wqFAj9bOFy+P10QkJsch398fwh7qlrx1wsmdhsM7yv/uXYG7v1ot9y+varVmzD68tpjuHpOERQKBUpqxQDWb5eOxq2Lh/u9R3K8BneeNkq+X5gmBt+lsXNEsczlc32qhT/z3bI73XhhlXjeNjY3SX48OV4TriURUYxgQDxMjjeKLT9CbedERJFHoVBgamEqVh+qlx/Ta5R47YbZQQO60ey+n4xDkl6D08ZlQ6FQIF6rxpWzvVnmXbV/BwCNSomfLxI3xD/8ZjHUSkWvLkI+cclkPHLhRNz6xlasOFjv99y7P5bhp7MLsb+6Dbe+uQ0AcMb4HJw3JQ9Lx4sVQPFaNZb/ZhGcbgEalRLvbSkHAByuZ0CciDpqMttx7cub5funjs1iMJyIKMo4XG78sL/O77HhmQmdHE1E0WBWcRqe+ek0jMtLkvfesRQMD0ahUGBWcRreuGk2HC73gHaUi9eq8dRlU3Dr4uE46+m1fsG9440WfLu3FmdMyMGO8hYAYjJ7d5I8leOt7QwOUuxrttjl201mWxhXEh3e3lyG9UcaAQBjQvh9QkQUKqZEDxCrw4WX1x7DP74/hHa7C6WegHhROmeGEEWzGUXeKucb5hdj3e9OxqzirueHR6M4rQr3nDEGU7uo6g5VZqIOqQZtr16rVCqg16jwwtUzcMn0fAzLNOCNG2dDrVRgZ0UrDtYYcYNPe/e5w9Nx5sRcKH0SFBQKBTQq8eOvIFVMSqpt44aEiDqSkmYA4FenjMR/rp0ZxtUQEVFPOV1uXP7iRhz0VC1KfGfzElF0OmtS7qCcw6vy7IkHmkKhwJicJNyzdDSWjM7Ed3cuxG1LxKT3h7/Yh/s/2YPjjWI3zFHZ3f+OTYoTa7TarAyIU+yrN3qvObEgo3tScg0ALBgZOx04iSj8WCE+QO5+f6c8+/afy0vkx1khThTdZg71Br9/vmgY0hN0YVzN4KFVK/H4JZPl+6eNy8bXe2qw9KnVfsf5tlYKJiNBDMw3mhgQJ6KOtpU2y7fPmxI7MymJiAaLF9ccxVaf3+WS4VmDL4hGRNQXblk0HLd4ur/dvmQk3v2xHJUt7Xh9YykAYObQVDnxvCvJcWKFeBsrxGkQaPC55lTe1I57P9qFu08fzWuInTjomR/+5KWT+6Qwh4hIwgrxAbD5WJMcDA80dBBmsxLFkjnD0vC7M8bgpWtmICuJbXTD5e6lo6EOaFM/Pi8Jk/KTu3ydtPlotjjgdLn7bX1Ekea5lUdwy+tbsGxfbbiXErEEQcB2T2b6Bz+fy/a6RERRZvn+Wvztm4Py/dnFaRiSEoc0gxazi9PDuDIiotgQp1Xh0hkF8v3JBSl4/+fz/Dq0dUZqmc6AOA0GvhXiAPD25nI8taykk6MHN5dbkKvopzEYTkR9jBXi/aSk1ojlB+pQmBaPj7ZVAACumFWA+84ah9JGM3481oSSOhNOGZsV5pUS0YlQKBS4dfHwcC9j0BuemYDXbpwlZ5GeOzkvpEzblDgNlArALQBNFjtnA9Og8OWuajz2zQEAwLL9dXjzptmYM4yBgUCVLe2oN9qgViowYUjXyTVERBRZLHYnfv/RbgDA1XOK8NB546FQKCAIQszPGSYiGkjXzRuKdUcaUd3SjrtOGxXy65KkCnGrs7+WFrOcLjdWl9Rj5tA0JHoSCyiySRXi503JQ1G6AU8vL8HrG0thtjlx+vgcnDEhJ8wrjByljWbYnW7oNUoUpLGzLhH1LQbE+8naww149OsDmJyfjJ0VrQCAm08ahgSdGuPzkjE+jxdWiYj60rzhGZg3vGezhZRKBdIMWjSY7Gg0Db6A+Pf7apEcp+n13Pu6Nit+/9FuXDazAEvHcwMXDRpMNtz/6R75vsst4PIXN+LkMVl49sppYZlHGKm2l7UAAMblJfHPhYgoijy9vARPfn8IAJCdpMN9Z42Vg+AMhhMR9a2sJD0+vW1+j18nzxCP4QrxraVNKEo3IMMnWd/qcOGu93agKN2Au08fDVUI1fSB3tpchgc+3YsxOYl47+dz5Wp7ilxShXhmgg6/OnkE3txYikazHR9tr8Sy/bVYMiYTOjX3nACwzbMPH52T1Kt/H0REXWHL9H4itfSQguGFafEYxlabREQRJ90gbk4bTfYwr6R/fLy9Ai+sOgJBEPweP1xnws2vbcGlL2yA3dm7dvGPfnMAPxyowy2vb4XbLXT/gjCxOV34anc12u2ucC8l7N7cWIYmsx1jchKx8u7F8uM/HKjD5Ae/w6Fao/yY2eaEIAhw9fDv1uUWOvy8RSMpID61ICWs6yAiop7ZU9kq354xNI1JTUREEUieIW51xMTeIdBbm8pw0XMbcN0rm/2+v+X76/DV7ho8t/IIHv/2IG5/axse//ZAj977sx1VAIADNUa8vqG0T9fd11Ydqsc/vj806PfitW1iQDwrSQe1Sok/nTseY3ISAYhdEm59YxusDvHPyGh19PoaTSxYd7gBADB/OLvYEVHfY4V4PxmbmwSdWgmb5wNsWCZnhRMRRaL0BC1QCzSabd0fHGWcLjfufHcnACAvJQ7nTM6Tn9ta2iTfvueDnbDYXbh8VgGmFqQi1aDt9r0FQcDqQw3y/fVHGrFgZM8q9AfC1tJm/OuHEqw8WA8AeOHq6YO6mv14oxkAcP7UIRiaYcCS0ZlY4fmzsTndOP0fq/HWzbOxr6oNf/5yv/y6ny0chj/8ZGyn71vXZsXqkgb8cKAW3++rxezidLx+46yorsTbXt4MAJjKuWVERFFl0ehMfLevFgAwgZ3ZiIgiklTV7HAJaHe4EK+N/kvUbrcApVIBm9Mld+XaU9mGZ1YcRoPJjjSDFmsPe/fQz686It+ePyK0jnctFju2l7fI9z/bUYXblozou2+iD+wsb8FTyw7hSL0ZFc0WuAVgW1kz/nPtjEFbBV3V0g5AvC4DAOdMzsM5k/Pw2DcH8NzKI/jhQB0e+Wo/UuK1+OfyEujUSpw0MgOnj8/BBVOHQKMKXtMoCAIazXYcqDaitMmM8qZ2XDm7MGpbjbvdgvxvJBKvLxFR9Iv+s40IpVUrMXFIMraUihdTh2WwOpyIKBJJs8YbYqBCvM5oxRsbSnHNvKHISNChzugN8v/y7e343/rjOFBjhEqpQKtPa7pPPBnm3+2rRUq8Bi9fN1PudNKZ7eUt8hwsAHjk6/14t3AuEnSRc2rxwKd78FpAxvwtr2/Fut+fjCGejehgUxmwEf/HZVOwq6IVX++pwdubywAAP31pU4fXvbj6KGYUpWL8kGS/P7tDtUY89Pk+vws7gDg6Znt5S7c/RwOlJzNjG0w2VLW0Y7eny0+kfA9ERBSahSMz5dujc7gPJyKKRPFaFVRKBVxuAW3tzqgOiB9rMOOhz/di/ZFGTBiSjMcumujXZevv3x3q9j2uf+VH/PPyKThjQm6Xx608WA+XW0BOkh5NZjsO1hrxzuYyXD6r8IS/j77QYLLh6v9u6jAbfk1JAx76fB/+csHEMK0svKR9eOB1iNuXjIDV4cIr647jfz7XLmxON5btr8Oy/XX4fGcV/nvtTGjV3qD48v21uP+TPTBanbA6XXC4vD9vR+tNePGaGf38HXXP7nTj7c1l2FXRitPGZXc5J93hcuOxrw/gQI0R9UYbkvRqTC/iPpyI+h5bpvejhaO8G/FiVogTEUWkdE81dKMp+ivEH/nqAJ7+4TBm/HkZPtpWIWchS7aUNsNkc/oFwwO1WBy49uXNWPDYD/jDx7v92ru1WR047clVuPPdHfhwawUAYP6IdBi0KuytasP5z6xDu90FmzP87dA+2V7ZIRgu2XK8Kejj5U0WmG3OoM/Fiip5I64HAKTEa7FwVCYeuXAi7j97XIfj7zhlpHz7Z69vxZlPrZbnn7ndAn7x5rYOwXDJmxvL+nr5vfLelnKM/+O3OOOp1XhvSznqjTasOlSPmlZrh2MrW9ox/9EfcO6/18HpFjAiKwGF6dGZXU9ENFgVpMXj1LFZGJZpwOxittskIopECoUCSXrPHHFrdM8Rf2HVEaw4WA+b042tpc14cfVRAEBBWhzmDU+HQgHMG56OMTmJUCiAq+YUItEnkXxKQQpsTjdue2s7HvvmAG763xa/UVaCIOCDrRX49Tvb8Y9lYnD9wmlD8IslwwEA932yBysP1p3w97H5WBMO1hi7P7ALf/1yv18wfHxeEp69choA4LOdVXC6OrYCd7rcWFNSj01HG0/oa0cqh8uN2jZx7xkYEDfo1PjjOeNx9+mj/B7/9Lb5uOOUkYjTqLCmpAGj/u9rvLelHIA4h/437+9EVasVRpvTLxgOACsO1qHFEv6Cj8e/PYA/frYXH26rwM/f2Io3Npbidx/swvNBRvp9t7cW/1l7TL62cOG0/EHbTYCI+lf0pt9FgStnF+LJ78UTlaG8mEpEFJGSPLPLjNboD4Tu8Gmddtd7O3HWRDG7fHR2IlINGmw8KgaCJ+cnY2xuEvZWtcFsc8Joc+Ku00ZhQl4yrnl5E5otDhitTry1qQzTClNx8fR8AMCyfbUoqTOhpM4kf50b5hdDt0iFW9/cisN1Jox94BsYtCq8esMszBya1uvvRWo31xttVgf+/OU+AMDNJxXDZHPhpJEZ+PF4E15ZdxzbSptx3pQhfq9Ztq8WN722BfFaFR65cKL8vFQlPDE/+luuutyCHATOC1Ihf+OCYgxJicPP39gKABiZlYA7TxuFK+cU4uLnNqCsyYI2qxN3v78T50zOw28/2AlBABJ0anz5qwUoSjfgx+NN+HZPDf6z9hi+2FWFB84eh+R4zYB+n4FeXnsMFrsLB2qMuOeDXX7PXTdvKP507nj5/irPhSzJ0vHZA7ZOIiLqO/+5dma4l0BERN1IjtOg2eJAiyW6A+L1Rv/k+ve2iMnjIzIT8N9rZ6LN6kBKvBaCIMBkcyJRr8G84Rl4cfVRPHLhRIzKTsTtb23D13vE2eIAUG+y4eNb50GpVGDD0Ubc/f5Ov69xythsTCtMQXlTOz7cVoHrXvkRp47NxlVzCrF4dFaPv4djDWZc/uIGqFVKvHnT7F7t5beVNeOj7ZVQKIBPfjEfNqcbo3MSkaBTI0mvRpvViT1VbZhSkCK/prbNiutf+RH7qtugUACf3bYAE/OT4XC5sa20GeOHJEdUF7reqGm1wi0AWpUSGZ4OhYFuP3kkVhysx9bSZiwclYnJBSmYXJCCEVkJ+OXb2wEA93ywCx9tE3+2WiwOpBu0+O91M6FVKTEs0wBBAC58bj32V7fhsW8O4JELJw3Y9xjMDwf8kzT+75M98u3DdSY8fN4ExGnFoPfeqlb5ueIMA25cUDwwiySiQYcV4v0oPUGH56+ahl8sHo75IcyBISKigWfwnICb7dEfEC8MmBP15e5qAMC4vCQ8f9V0+fFfnzYKj140CZ//cgF+uHsxfrzvVFwxqxAT85Nx1+mj/d5j+f5a+fauila/586ZnIfFo7OwYGQGHjrPG1Q021245PkNWPqP1fh2b02Pv4+vd1dj6sPf4/a3tmHVofoev/7bPTVoMNlRnGHAb5eOwSMXTsRPJubKra+X7a/z6wggCAL+ubwEAGCxu3DHOztwxzvb8fi3B3DOv9fioufW43iDucfriDRH601wugWolApkJeqDHnPymCycOjYLGQlaXDtvKAAgK1GPL3+1AH86R6wgX3WoHne/LwbDAeDquUUoShc74cwcmob7zhqLMTmJsDndeH9reb9/X10RBEFuT+dL7Um2eHX9cSzbVwub0wVBELD2sPjzNjY3CWdOyJH/DIiIiIiIqG9JwcHAgHK0aTSL1bhPXDIZo7K9ozqGpMZBqVQgJV7sSqdQKJDomZ3+k4m5+OS2+RibmwSVUoG/XjARwzMNGJoej3itCjvLW7DpmJjQ/t3eWr+vd+7kPEwrTIFCocBfLpggXwdYtr8W173yIy54dh2+68E+fP2RBiz5+0q4BbHN9SXPb8Bfvtzn1/Y9FGsONcjf2+SCFMwqTkNynAYqpQJzhqV7vhfvuv7x/SHM/uty7KtuAwAIAvD86iOobm3H0n+sxmUvbsR5/14btT8fUhV0WZMFAJCbou8y6f+la2bg9iUj8LDPtZWzJ+XiqcumyPc3Hm2SCx3uOHUkphSkYFxeEvQaFeK0Kvz+zDFQKIC3N5fLyf3hYHW4cMxzDeW1G2ZhTE4icpK81yA+2FqBv361X76/3/Mz8PB547Hi7sVROwOdiCJfdKdYRYEzJuR2O/+FiIjCx+DJNo6FVtnNnrZYhWnx8qYLAHKT9UiJ1+KBs8fheKMZJ43oPEnripkF2HCkAasPNcBkc+JgrRGCIGBHeQs2HPG2MIvTqPDUZVOg8mzozp8yBF/uqsEynwD6wVojbnl9K/577QycMrbrSlunS5wv9fWeGqz3fJ0vdlXji13VeOX6mVjSgyz3raXNAIDTx2f7zdlaOCoT2Uk6VLa0Y/qfl+GKWYVQKIC3NomtvbVqJWYXp2FNSQM+9cxVBwC7y41bXt+KV66fGbSyujfarA786dO9mD40FVfOLuqT9wxmZ3kL/r3iMKYXpeLRrw8AAHKS9PLfWyCtWhm0qi5Rr8F184shAHjk6wPQqpTITNThgXPGdfh5UigUuHpuEe77eA/+/OV+vLW5DEVp8fj9mWPxyY5KLBqVKV8QWXGwDl/vrsZ9P+mfSvKK5nYYrU5oVArsffAMfLy9Aq9vLMX/nTUOT3x3ED8eb8ZNr20BAKQZtGjyXMy698wxfqNviIiIiIiob2UliQHxOmPHUUbRRNqHF6XH48FzJ+CKlzYCCN6VqzOpBi2W3bUICoUCv3p7Oz7bWYXHvz2AsiYLGkzi+z99xVQUpcVjUn4yFApxP6fXqPDsldPw5qZS7Ks2Ymd5C7aXteBnr2/Fk5dOxoXT8oN+vT2Vrfh2bw1uXjgMf/psb4fnX1pzDM0WB/5+yeSQvwepzfuU/JQOz50/dQi+21eLZ1cewbrDDchJ1uNbn0D/Xy+YiD98vBtf7qrGl7uq5ceP1JvxyNf78eSlU0JeR1daLQ7c98luDEmNw52njoJe0z9tudcdbsDNr21Bol6N2jYxoC8lkXcmzaDF3Uv9CxQUCgXOnzoE0wpTcd8nu7GmpAFxGhX+fslknDWpY7xh0ahMnDMpD5/trMKlL2zAoxdNxJkTcmGyOXGo1ojZxWlQKBSoN9qwrawZ43KT+iX4fKjWCLcgfk8njczAN79eKD/36Y5K3PHODry+sRQbjjZifF4SVhz0JqYTEfUnBsSJiGhQM+jEDZDFHv651ydKCuY9dfkU3P3+ThytFzNypY34DSG0nVKrlHj2yumoa7Ni1l+X43iDGX/9aj9eWnNMPuanswtx04Jiv6CqQqHAv386FWtLGqBVK3HdK5shJZTf+sY2/GzhMFw3f2iHFmFGqwNbjjej0WzH/Z923IgDwDuby2CyOjF/RAbe3lyG8iYLKlvaMbs4DVfPHYrl+2uRpNfglLFZUCgUckB8uqciXJIcp8HL183EWU+vBQC8vdl/xvUVMwtw52mjcNFz62G2udBktsPumXF2sNaI+z7ejevmFyMzQYeyJgvcgoBGkw1OtwCdWoXLZxYEzfgWBAFHG8x4alkJ2u1OjMtNwtM/HAYAfLS9EpdML/AL3PeVVosDV/1nE4w2J77f573YsGh07wO9188vxvXzu/85unBqPh7/9iBaLA4crTfjaL1Z3uQ+t/IIVty9GClxGlz/yo8AAJVSiUcunNjrdXVG6mowKjsRWrUSl80sxGUzCwEA95wxBvd/sgcHPHPypH8/Q1LiMGNoavA3JCIiIiKiPiF1raqL0gpgibSPSDVoUZDqDS5qVT3b40lB7mmFKfhsZxW2lbXIz8VpVDhtbLbcYtrXhCHJeOTCSWi3u/DK+mPYerwZyw/U4a73duJ/G0rxf2eN9WuBbrY58bPXtqCq1Yq3NpXJFe4ZCTosv2sR1hyux+1vbccHWytw6+LhKEiNxzMrDmNraTOmFaVi4cgMjM1NQkVzO5LjNMhJFv8eD9SIVb6jchI7rPHMCTk4eUwWfjhQh50VrdjpU718+5IR+OnsQljsTvzlq/0QBHi6vY3GL97chk+2V2Lp+BwsGpUJp1vAnspWbDnehLMn5aEwLb7bUWt7KltR0WzBhCHJ+NXb2+U/V6dLwP1njwvhb6ZnTDYn7vlgFyx2l3ydKTlOgztPHdnr9yxMj8frN87G8QYz9BqV/GcezE9nF+KznVVod3i632GH/NzvzxyDWxYOw/WvbsaeyjYk6dVY+dslSDNoe722YKSK77G5ifLPteS8KUOw6VgT3tpUhsN1Jhz2jOTTqpUYHeRnh4ioLzEgTkREg5pBK34UmmKgQlzaiKfFazEhL1kOiM8bnt7j98pM1CE1Xpzp5hsMP2VMFv56QfDApV6jwqnjxErwDfeegkS9Gne8swPf76vFv1ccxjs/luNfV0zFXM96Vh6sw0Nf7JPXKbnnjNGYXZyGi57bAAD4dm+tX/a4ZE1JA/7+3SH5/tTCFCwcmSnPOJ9e1DGoOT4vGZfOyJfnumnVStidbiTq1bjppGFIidfi+zsXQalUoLzJggM1RmQn6XDeM+uw4mC9HNQN5us91bhm7lCcMiZL3pTbnC7c/tZ2v4D0sv3+s7Ruf2sbnr5iap9np2842gijz8+1Tq3E6zfOxqzi3s92D1WcVoVnfzoNv353B+wuNxxON8w+SSdL/r7S7/gPt1Xg3p+MQZJeA0EQsLW0GROGJIf0Z3Kgpg1KhQKjsjtunqWkh7nDOv4bmDk0Dd/8eiF2lLfgmv9uwri8JDxx6RRkJ+qg7uHFKyIiIiIi6pnMRE+FeFv0BsQdLjeMVnHPlRavhVatxK9OGYmvd1d3Wp3dnelFHfdr9501Nmgw3FecVoVfLB4Bl1vAL9/ehq9212BneQuu+s8m/OqUkfjF4uFQKBR4atkhVLWKVflSMPyCqUPwD09r7rMn5eGDrRVYebAepzyxCqOyE3CoVtxjrz3cgKc948YAQKVU4Pp5QzF3eDqOelpkjwkS1FQoFHjmp9Pw8Jf7cKjGCJcgQKlQ4OkrpmKIJ4H/ppOG4cyJuahqaceUghRoVEosHZ+Nb/fW4pbXtyI5TgOHyy0Hmf/+3SHEa1W4ak4Rfn/GmA6B8VfWHcODn+/r9M/rnc1luOeM0dCp+3Yf/vdvD6KypR1xGhVGZSegsqUdL183E5OCVM731NCMrqvMAWDOsHQ8fcVU7Cxvwac7qtDgMy7uye8O4ft9tdhTKQas26xOvLD6CO49cywAMZk/MIDdG9/vE695+M6L9/XXCybiunlD8cyKw8hJ1iMtXovxecnySAEiov6iEKSBFlGkra0NycnJaG1tRVISW2kQEVHvrTvcgCv/swmjsxPx7Z0Lu39BhLI6XBhz/zcAgF1/Oh3HG8y496PduG3JCPxkYu9Gd9zw6o/44YA3eDssw4AXrp6OkUECj12t66XVR/He1nKUN7VDr1FizT0no93uwsLHV3Q43retm9Plxtn/WitX8HZGqlT3nXHmu6EP5HS50WSxyxUJNqcLDpeABF3neYL3frQLb2/2n4c9YUgS2u0uHAkI6A/LNECrUuLSGQVQKoA/BdmEj8lJRJxWhe2e7PQHzx3f5/Oq//TZXry6/jiunlOEu5eOhlKBAd9guj1/J7srW3HpCxtgc7rlJIRAd58+CudMzsO/fjiMD7aKCQvnTM7DHaeMwIisjj9zVocL9328Bx9uq4BGpcDnv1yAojSDfKHogU/34LUNpVAogFV3L0Fheuet4NrtLug1yj7Z/BNR5OI+8sTxz5CIiPrK+1vK8dsPduGkkRl4/cbZ4V5Or9QZrZj1l+VQKoCSv/yk09FUPeF0uXHOv9dhf3UbshJ1eOziSVg8KrNHexW3W8APB+rw9+8Oyvvp+34yFqePz8bJT6yCyy0gTqNCu0MMLj99xVScOzlPfv03e2rw8ze2+r3nT2cXorbVii2lzWhtdwT9utlJOmy895Q+21eVN1nwk3+u8Uv0VisVcAbMNx+eacDY3CRMK0zF5IIUqJUKXPDsOgSOQU+N1+C8KUPw2c4qNJntGJOTiM9uX3BCHdvMNqc8is9odWD6w8tgd7nx2g2zcNLIDDjdAjRhSriuabXijne2Y0hqHLaWNqO00TtaL0mvRpvViUSdGhv/cAo+21mFP366F6NzEjE+LwlnT8rDgpEdx+1Z7E48s+Iwvtpdg0S9Gr9dOhonjfR2oTtcZ8TSp9bA5Rbw3Z0LgyauE9HgEyn7SAbEiYhoUNtR3oLzn1mHISlxWPf7k8O9nF6ramnHvEd/gEalwKE/n9knG9DyJgt++8FOOF0CXr5+JpJOIJjabnfh3H+vRUmdCf+4bDIcLgH3fLCrw3F7HlzqF5g225z4clc1/vbtQTSYbLj79FFYMiYLo7MTsb/aiP3VbVg8JhNOl4DH/p+9+w6Pqkz/P/6ZkkwKKYQWSghNuiKgIiICK4osVnRxrYjth4uFZdWV77oguiu6uyqsoq5rwd4QccWKCIIKIiAqqAiI1ISe3mee3x+Tmcwkk5CEZEryfl3XXGbOnJl55iGezHPuc9/3hz/pnQ17dU6/VD00YYB3UdoQjDE6nF+i7Qfzdd/iH3Trmcd5+6IXlJTpvyu2a93OI1rxc+AM8jvG9NJ5J3RQmwSH1vx6WKd2S9GKn919xSRp+HGt9ew1Jx/TQrmo1KnJL63T19sPa2Dnlvp860FJ0uNXDKr3RRENadfhAkXZrDpSUKJnPt+uhBi7xh3fXr8czA/4u+Dr7nF9dP3wbpKkz7cc1BfbDuq1NTt1pKDqiZiU+GhF26zKzHFnPdwxppemjOrR8B8IQMRhHXnsmEMAQEP57OcDmvjsGvVOTfDrMRxJNmfmasycFUqJj9b6v57VYK9bWOLUxz9kalDnlsfU49npMnrys23650eb1So+Wtec1kUPLflZp3Vvpd8e3153L9ooSVr/17OqlM3+cutBFZU59cPeHLVNjNGEk9Ikudedq345pEFpLbV2x2G9uXa3Vm45oBKnS09ddZJG9W5b/w8ewP6cIuUUlWndjsNKio3SWX1TZbVIB/NK9OGmTN377iaVOgOHN3q1S9A95/fT8Z2S9PWvhzW0WyvFRNn07rd7dcur30iSnrhikM7pn1qvcygffJ+hm15er7YJDnVOidPa8vZtXVrFadntI8PqguuNe7L1uydXqbDUqTH92umv5/bV1c+s0S8H89UxOVZ7swvlGyWKtln178tO1Dn93ecSNmfmasehfL24eodWbjnot9/5J3ZQTmGpWrWI1rvfZiivuEyDOidr4R+GBftjAghT4bKOJCAOAGjWtuzL1VmPrFDLuCh9M+PsUA+n3jbuyda5j36utgkOrfnL6FAPJ6DZH/yo/3z2iy4Z3EnZhaVa8sM+TR7RXat/OaRvd2dpxrl9q+1PnV1Qqi37czU4vWWNi8q84rIaM70b2/wvtmv+l7/qV58rr9NbxemD24YrLrrquL7cdlCX//crSdLJXVrqzcmn1et9l23e7+3H7atzSpw+nBr4vcNFmdOl217foPe+y1C03aoWDruibBb1Sk3Utv152pNVqIQYu776vzP10Mc/65nPt/s9/+5xffT48m3elgG+rjo1Xfdd2D9YHwVAmGMdeeyYQwBAQ/kxI0dj565s8GByMK3adkiX/Xe1ureJ19I/jQz1cAIqdbo06N4lflnW9190vM4d0F6//89q9e+YqH9cMuCY3iO7sFSFJc4ae1s3lozsQn360369uXa38orLvD2pbVaLlv1pZLWVwma+s1HPr9ohSbrvwv666tT0Or/3Gf9Ypp2HC6psv+a0Lrrn/H51fr3GdiC3WDFRVm/luP99u1e3ll8YILlb5JW6jN+F/tPH9ta+nGI9+0XVdfjqXw5VaQknuS9EePH6U7xV+QAgXNaR4Xt2FACAIPBkEecXO+V0mQYpcRYKB8r7QlW+qjucnN6jtf7z2S/ectiSu8/3H0Z115H8EqW3qr4fVlJclE7qcvTe16EMhkvSNcO66pphXZVbVKoPNmYqMcau03q0rjYgfWrXVuqYHKs9WYX6+tcj2rIvt04l6SX3CY5Z/9vkvX/rb3qo1GW0ZV+u7jynd1gHwyXJbrPqscsG6qYR3dWtTbzfeF0uo5H/Wq6dhwvUd8ZH3u2jerXR+p1ZGndCe10/vJuuOa2LsgtL5XQZfbMrSx9tzFS7pBjd8hsywwEAAIBw1LFlrGxWiw7nl+jLbQd1Wveq5ZnDneei3FbxjhCPpHpRNqvO6NlG732fUX7forP6tlNiTJTev214g7xHUmyUkmJD0/+5fVKsrhiSriuGuAPa73+foY83ZWpU77Y1ts0aP6iTNyC+YN3uOgfEi0qd3qpkkjsrfEBasrbuz2vwdmgNpU2C/+/p+QM66Li2LfTF1oPq0baFRvZyZ/fnFJXq5le+0YqfD2j2Bz9592+b4ND+3GKd1beddx2+aMNe/bA3R8lxUfpud7Zcxui+C/sTDAcQlsL7DCkAAI0svjz4VuJ0afTDn+n9W4d7exBHkjXbD0ty96YOV0O6tpLNavH2+m6b4NDQ7q3UwmE/pnLs4SghJspbUq4mVqtFC24aqgse+0L7c4v1wcbMagPiZU6X3v5mjzq1jJPTZXRK1xTZrRZ9/eth/XqoQDFRVi2YfJr6d0xq6I/T6CwWS8BxW60W3TSyu6Yv/L58P+nB8Sdowslp8i1yZLdZ1aqFe3E/pl+qxvRLDc7AAQAAANRLYkyULj+ls15cvUOPLt0aUQHxHYfyldYyTt/tyZIkdUqJDe2AjmLSsC5a+tM+FZW6dMtvjqsSGG1Kfnt8+1q1DBuQlqz/XDVY/+/Fddq4J7vGanObM3P1zoY9GpCWrN6pCUpvFa9VvxxSSZlLkvTgxcdr/KBOIesVfiz6tE9Un/b+2ZqJMVF64opBGvHP5TpYnnwxfmBHPTRhgH7KzFXX1u5kBrvNqksGd5IGB33YAFAvBMQBAM1anKMi+L39YL7e+z7D/YU+guQVl2npj/skyXtFbziKtlt11zm99ff3f9ToPm3136tPCqueWqHSPilWfzq7p/781vf69Kf9uvXM4wLu9/f3f9RzX/zqty0lPlpFpU5J0tl9UyMyGH40vz85TdmFpVr762FdNbSLRvRsI0n87gAAAAAR7vrhXfXi6h1au+NwyNtf1dayn/Zr0vyvNX5gR327O0uSNCqM1+GSdFKXFH009Qz9lJmrs/q0C/VwwsaYfqnq1DJWu48U6uvthwP2P//618O64r9fqcTp8m47pWuK4soTKS47pbMuPblz0MYcLPEOu97+w2k6lF+iVvHR6pAcK4vFUiV4DgCRJPy/ZQAA0IgqX8G76Js9ERMQ33EoX5c9tVqZOUVyGXePrOHHhfdV9ded3lU92rbQKV1TCGj6OKM8yPvd7ixlFZQoOa6i9L0xRos27KkSDJfk1zf75K5HLykfiSwWiyaP6C6N6B7qoQAAAABoQOmt4tU5JU47Dxfoq18O6cwICNa++91eSdLCb/ZIcq/DPeu5cJbeKr7GNmXN1chebfTS6p1atGFPlYB4dkGpbn/zW5U4XWrhsKtTy1ht3Z/nrdAnudt5NVVpKXFKS6m+7DwARBoC4gAA+Phq+yHlF5d5e4uHs7e/2aO92e6eVd3axOvOMb28ZaPDldVqCXjVdXPXPilWx7VtoS3783T2Iyv0/LWnqE/7RL25dpf+7+3vVep0lwe/5rQu6p2aoKTYKH24KVPvbNjrfY2h3ZpmQBwAAABA03X6ca31ylc7tXLLwYgIiO/NKvS7P+2sniHrn41j97vBaXpp9U69s2Gv1mw/rHsv6K+k2Cjd8up67ctxlwvvmByrD6YOV2JMlDKyCzVv2Va9/vUutYyL1rAe4Z2UAACoEP5n+wEACKJSp9GaXw9XW/LM6TJa++th9euYFPJybl9sPShJ+n8juumuc3qTcR3hLh7cSQ988JP25xZr7NyVVR4f2auN/npuX9ms7n/nsce318MTTtSX2w7qUF6JerQN3/7xAAAAABDIGeUB8QXrdmtweksN7JysTi2rZqVmF5YqJsqqohKXkuLqFoDOLixVC4fdu5aqL2OMfszIlSTN/f2JGpjWUp1bkUEbyU7olKTTurfSl9sOKSO7SDe8sNbv8eS4KD098SQlxrh/59onxepvFx6vP53VS5IiIpkCAODGERsAgEoeX7ZV/13xi3KLyjTtrJ7ejOaSMpcu/+9qrd1xRJJ0/oAOumhgRznsVn257ZCmjOqh2Gibdh0u0Kx3N+mUrim68YyKMs9ZBSV6/etdKihx6tKT09QhObbeY8wtKtU3O7MkSVcOSScY3gRMHtFdo/u00wMf/KRPynvCS9J5AzrozN5tNaZfapUTOO4y+U23RBsAAACApm1od3eGbV5xmW559RslxUZp2lk9dcWQzrKXtzibt2yr/vnRZklSbJRN/7lqsIb1aK3D+SVqk+CukmaM0cY9OYqyW9Q7taLP8Y8ZOZrw5Cq1jI/WU1cP9nustowxslgs2ptdpOzCUtmsFp3TP1UOu+1YPz5CzGKx6MmrButvi3/QG2t3e7fbrBZNO6unLj05Ta0DVOJrGR9dZRsAILxZjDEm1IOoq5ycHCUlJSk7O1uJiXX/EgMAgK8h93+ifTnFOn9AB/3v271+j8VG2fTyDUM0qHNLrdp2SJf9d3WdXttikYZ1b63kuCh9sDFTTpf7z+6oXm303KRT6vRamzNztWzzfh3JL9HCb/boQG6xureJ19I/jazT6yD8LVi3W48v36oJJ6XpxuHdZD3GTAYAAOvIhsAcAgAaw7Xzv9anP+3323b96V1197l9tTkzV2PmrKj2uQM7J2v8oE56c+0ufbc727t94tB0ndK1lR79dIt+ynRndcdF27TwD6fVKSj+1S+HdOtr36hH2xbqk5qopz/frgFpyXpnyrA6fkqEu8ISp55YvlX7c4t119jeSo4j6A0ADSFc1pEExAEAzV5mdpG+35OtM3q2Vq+7P5QkJTjsap8co5/35clht2rOpSfqx8xc/XvpFvVs10ID01pq7Y7D2nYgv17v6bBb9e3MsxUTVbsryo0xGvbAp96e4R5/OqunbjnzuHqNAQCA5oR15LFjDgEAjSGvuEz7corUJsGhOUu26NkvtnsfG9Q5Wet3ZqlzSpz+34hu+nLbIb3/fYbqeka7Q1KM9mYXadKwLpp5Xr9aPaekzKUh93+iIwWlftv/em5fXXd617oNAACAZipc1pGUTAcANHupSTFKTYqRJN15Ti+9uGqH/nv1SeraOl63vPqNPv1pv25+9RtvdvekYV112SmddSS/RHcv2qjCUqdG9W6rXw/ma9uBPP3+5M4a2auN3v5mj5Jio5RfXKZNe3O0+0ihpv+2t37/1GodyC1W779+qD7tEzU4PVnHd0zSxYM6eUvCVbbjUIH2Zhcp2mbV5UM6a/nm/TqUV6KLB3cK2jwBAAAAANDQWjjsatGmhSRpxnl9FWWz6D8rfpEkrS9vFXb5kM66Yki6rhiSrq37c7Xql8Ma1DlZz3y+XbuPFColLlp/GddH63Yc0etf71JecZm27s9TUZlTD08YoNgouya/tE7PffGr2ifFqFdqok7r3kpR1azBJenb3VneYPjg9JZat+OIEmLsOm9A+8adEAAA0ODIEAcAoAZOl9HU1zfo3fJS6narRZ/dOUodj6H/958XfKfX1+6qsj0hxq7zB3TQeQM6qHdqgl95rrfW7daf3vxWg9Nb6q2bTpPLZVTidNU6wxwAgOaOdeSxYw4BAMFQ5nTpPyt+8fYNl6S3/3CaBnZuWafXKS5z6mBeiTomxyqvuEyD7l2iEqfL+3hCjF39OiRq/KBOumRQpyqtquZ+skWPfPKzxp3QXvMuH6T9OUWKtlsppQ0AQB2EyzqSDHEAAGpgs1r0r9+dIEn6cGOG/nZh/2MKhkvS/43ro5O7psgYoyeWb1NKfLR+3pernKIyvfzVTr381U457FbNOK+vrhiSLkn6+tfDktxXpUuS1WpRjJVgOAAAAACgabHbrJoyqoeyCkr035Xb9fuT03RiWnKdX8dht3nX7y0cds0ef7w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# 5.2.2. IQR Method\n","# print(\"\\n----- IQR Method -----\")\n","# outliers_iqr = pd.DataFrame()\n","\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     Q1 = X_train[column].quantile(0.25)\n","#     Q3 = X_train[column].quantile(0.75)\n","#     IQR = Q3 - Q1\n","\n","#     lower_bound = Q1 - 1.5 * IQR\n","#     upper_bound = Q3 + 1.5 * IQR\n","\n","#     outliers_others_iqr = X_train[(X_train[column] < lower_bound) | (X_train[column] > upper_bound)]\n","#     print(f\"IQR outliers in {column}: {len(outliers_others_iqr)} ({len(outliers_others_iqr)/len(X_train)*100:.2f}%)\")\n","\n","#     if len(outliers_others_iqr) > 0:\n","#         print(f\"Range for {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","#         print(\"First few outliers:\")\n","#         print(outliers_others_iqr.head())\n","#         print(\"\\n\")\n","\n","#         # Store outliers for potential treatment\n","#         if outliers_others_iqr.shape[0] > 0:\n","#             if outliers_iqr.empty:\n","#                 outliers_iqr = outliers_others_iqr.copy()\n","#             else:\n","#                 outliers_iqr = pd.concat([outliers_iqr, outliers_others_iqr])\n","#                 outliers_iqr = outliers_iqr[~outliers_iqr.index.duplicated(keep='first')]\n","\n","# # Handle target variable separately\n","# Q1_close = y_train.quantile(0.25)\n","# Q3_close = y_train.quantile(0.75)\n","# IQR_close = Q3_close - Q1_close\n","# lower_bound_close = Q1_close - 1.5 * IQR_close\n","# upper_bound_close = Q3_close + 1.5 * IQR_close\n","\n","# outliers_close_iqr = y_train[(y_train < lower_bound_close) | (y_train > upper_bound_close)]\n","# print(f\"IQR outliers in Close: {len(outliers_close_iqr)} ({len(outliers_close_iqr)/len(y_train)*100:.2f}%)\")\n","\n","# ----- IQR Method (Keep Default 1.5*IQR) -----\n","print(\"\\n----- IQR Method -----\")\n","outliers_iqr = pd.DataFrame()\n","\n","for column in ['Open', 'High', 'Low', 'Volume']:\n","    Q1 = X_train[column].quantile(0.25)\n","    Q3 = X_train[column].quantile(0.75)\n","    IQR = Q3 - Q1\n","    lower = Q1 - 1.5 * IQR\n","    upper = Q3 + 1.5 * IQR\n","    outliers = X_train[(X_train[column] < lower) | (X_train[column] > upper)]\n","    print(f\"IQR outliers in {column}: {len(outliers)}\")\n","\n","# Plot IQR Outliers\n","fig, axes = plt.subplots(2, 2, figsize=(20, 10))\n","axes = axes.flatten()\n","for i, col in enumerate(['Open', 'High', 'Low', 'Volume']):\n","    Q1 = X_train[col].quantile(0.25)\n","    Q3 = X_train[col].quantile(0.75)\n","    lower = Q1 - 1.5*(Q3 - Q1)\n","    upper = Q3 + 1.5*(Q3 - Q1)\n","    outliers = X_train[(X_train[col] < lower) | (X_train[col] > upper)]\n","    axes[i].plot(X_train.index, X_train[col], label=col)\n","    axes[i].scatter(outliers.index, outliers[col], color='red')\n","    axes[i].set_title(f'IQR Outliers ({col})')\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":554},"id":"3AbdLaSoqhh3","executionInfo":{"status":"ok","timestamp":1745469959045,"user_tz":-330,"elapsed":1191,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5aa6f846-8d04-4377-9f7c-1151d6ab3ef8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- IQR Method -----\n","IQR outliers in Open: 0\n","IQR outliers in High: 0\n","IQR outliers in Low: 0\n","IQR outliers in Volume: 36\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1000 with 4 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\n"},"metadata":{}}]},{"cell_type":"code","source":["# # 5.2.3. Modified Z-Score (more robust to outliers)\n","# print(\"\\n----- Modified Z-Score Method -----\")\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     # Calculate median and MAD (Median Absolute Deviation)\n","#     median = X_train[column].median()\n","#     mad_other = np.median(np.abs(X_train[column] - median))\n","\n","#     # Calculate modified z-scores\n","#     if mad_other > 0:  # Avoid division by zero\n","#         modified_z_scores = 0.6745 * np.abs(X_train[column] - median) / mad_other\n","#         outliers_others_z_modified = X_train[modified_z_scores > 3.5]  # Threshold commonly used\n","#         print(f\"Modified Z-Score outliers in {column}: {len(outliers_others_z_modified)} ({len(outliers_others_z_modified)/len(X_train)*100:.2f}%)\")\n","\n","#         if len(outliers_others_z_modified) > 0:\n","#             print(\"First few outliers:\")\n","#             print(outliers_others_z_modified.head())\n","#             print(\"\\n\")\n","#     else:\n","#         print(f\"MAD for {column} is zero - cannot compute modified Z-scores\")\n","\n","\n","# median = y_train.median()  # No need to specify 'Close' here\n","# mad_close = np.median(np.abs(y_train - median))\n","\n","# if mad_close > 0:  # Avoid division by zero\n","#         modified_z_scores = 0.6745 * np.abs(y_train - median) / mad_close\n","#         outliers_close_z_modified = y_train[modified_z_scores > 3.5]  # Threshold commonly used\n","#         print(f\"Modified Z-Score outliers in Close: {len(outliers_close_z_modified)} ({len(outliers_close_z_modified)/len(y_train)*100:.2f}%)\")\n","\n","#         if len(outliers_close_z_modified) > 0:\n","#             print(\"First few outliers:\")\n","#             print(outliers_close_z_modified.head())\n","#             print(\"\\n\")\n","\n","\n","#  ----- Modified Z-Score Method -----\n","print(\"\\n----- Modified Z-Score Method -----\")\n","outliers_modz = {}\n","\n","for column in ['Open', 'High', 'Low', 'Volume']:\n","    median = X_train[column].median()\n","    mad = np.median(np.abs(X_train[column] - median))\n","    threshold = VOLUME_THRESHOLD if column == 'Volume' else PRICE_THRESHOLD\n","    if mad > 0:\n","        mod_z = 0.6745 * (X_train[column] - median) / mad\n","        outliers = X_train[np.abs(mod_z) > threshold]\n","        outliers_modz[column] = outliers\n","        print(f\"Modified Z-Score outliers in {column} (threshold={threshold}): {len(outliers)}\")\n","\n","# Handle Close separately\n","median_close = y_train.median()\n","mad_close = np.median(np.abs(y_train - median_close))\n","if mad_close > 0:\n","    mod_z_close = 0.6745 * (y_train - median_close) / mad_close\n","    outliers_close_modz = y_train[np.abs(mod_z_close) > PRICE_THRESHOLD]\n","    outliers_modz['Close'] = outliers_close_modz\n","    print(f\"Modified Z-Score outliers in Close (threshold={PRICE_THRESHOLD}): {len(outliers_close_modz)}\")\n","\n","# Plot Modified Z-Score Outliers\n","fig, axes = plt.subplots(3, 2, figsize=(20, 15))\n","axes = axes.flatten()\n","for i, col in enumerate(['Open', 'High', 'Low', 'Volume', 'Close']):\n","    if col == 'Close':\n","        axes[i].plot(y_train.index, y_train, label='Close Price')\n","        axes[i].scatter(outliers_modz[col].index, outliers_modz[col], color='red')\n","    else:\n","        axes[i].plot(X_train.index, X_train[col], label=col)\n","        axes[i].scatter(outliers_modz[col].index, X_train.loc[outliers_modz[col].index, col], color='red')\n","    axes[i].set_title(f'Modified Z-Score Outliers ({col})')\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":791},"id":"VmPpgKz8tjc1","executionInfo":{"status":"ok","timestamp":1745469963750,"user_tz":-330,"elapsed":1569,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"9a4afa96-eee4-45dd-8e14-bd75e4711ec4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Modified Z-Score Method -----\n","Modified Z-Score outliers in Open (threshold=3.75): 39\n","Modified Z-Score outliers in High (threshold=3.75): 37\n","Modified Z-Score outliers in Low (threshold=3.75): 39\n","Modified Z-Score outliers in Volume (threshold=3.0): 38\n","Modified Z-Score outliers in Close (threshold=3.75): 38\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1500 with 6 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import matplotlib.pyplot as plt\n","# import numpy as np\n","# import pandas as pd\n","# from scipy import stats\n","\n","# # 1. Z-Score Method\n","# print(\"----- Z-Score Method -----\")\n","# z_scores = {}\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     z_scores[column] = np.abs(stats.zscore(X_train[column]))\n","\n","#     # Identify outliers (typically |z| > 3)\n","#     outliers = X_train[z_scores[column] > 3]\n","#     print(f\"Z-Score outliers in {column}: {len(outliers)} ({len(outliers)/len(X_train)*100:.2f}%)\")\n","\n","#     if len(outliers) > 0:\n","#         print(\"First few outliers:\")\n","#         print(outliers.head())\n","#         print(\"\\n\")\n","\n","# # Handle target variable separately\n","# z_scores_close = np.abs(stats.zscore(y_train))\n","# outliers_close = y_train[z_scores_close > 3]\n","# print(f\"Z-Score outliers in Close: {len(outliers_close)} ({len(outliers_close)/len(y_train)*100:.2f}%)\")\n","\n","# if len(outliers_close) > 0:\n","#     print(\"First few outliers:\")\n","#     print(outliers_close.head())\n","#     print(\"\\n\")\n","\n","# # 2. IQR Method\n","# print(\"\\n----- IQR Method -----\")\n","# outliers_iqr = pd.DataFrame()\n","\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     Q1 = X_train[column].quantile(0.25)\n","#     Q3 = X_train[column].quantile(0.75)\n","#     IQR = Q3 - Q1\n","\n","#     lower_bound = Q1 - 1.5 * IQR\n","#     upper_bound = Q3 + 1.5 * IQR\n","\n","#     column_outliers = X_train[(X_train[column] < lower_bound) | (X_train[column] > upper_bound)]\n","#     print(f\"IQR outliers in {column}: {len(column_outliers)} ({len(column_outliers)/len(X_train)*100:.2f}%)\")\n","\n","#     if len(column_outliers) > 0:\n","#         print(f\"Range for {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","#         print(\"First few outliers:\")\n","#         print(column_outliers.head())\n","#         print(\"\\n\")\n","\n","# # Handle target variable separately\n","# Q1_close = y_train.quantile(0.25)\n","# Q3_close = y_train.quantile(0.75)\n","# IQR_close = Q3_close - Q1_close\n","# lower_bound_close = Q1_close - 1.5 * IQR_close\n","# upper_bound_close = Q3_close + 1.5 * IQR_close\n","\n","# outliers_close_iqr = y_train[(y_train < lower_bound_close) | (y_train > upper_bound_close)]\n","# print(f\"IQR outliers in Close: {len(outliers_close_iqr)} ({len(outliers_close_iqr)/len(y_train)*100:.2f}%)\")\n","\n","# if len(outliers_close_iqr) > 0:\n","#     print(f\"Range for Close: [{lower_bound_close:.2f}, {upper_bound_close:.2f}]\")\n","#     print(\"First few outliers:\")\n","#     print(outliers_close_iqr.head())\n","#     print(\"\\n\")\n","\n","# # 3. Modified Z-Score with adaptive threshold for crypto data\n","# print(\"\\n----- Modified Z-Score Method -----\")\n","\n","# # Dictionary to store outliers for each column\n","# outliers_modified_z = {}\n","# thresholds = {\n","#     'Open': 5.0,  # Higher threshold for price columns in crypto\n","#     'High': 5.0,\n","#     'Low': 5.0,\n","#     'Volume': 3.5,  # Standard threshold for volume\n","#     'Close': 5.0   # Higher threshold for price target\n","# }\n","\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     # Calculate median and MAD (Median Absolute Deviation)\n","#     median = X_train[column].median()\n","#     mad = np.median(np.abs(X_train[column] - median))\n","\n","#     # Calculate modified z-scores\n","#     if mad > 0:  # Avoid division by zero\n","#         modified_z_scores = 0.6745 * np.abs(X_train[column] - median) / mad\n","#         threshold = thresholds[column]\n","#         outliers_modified_z[column] = X_train[modified_z_scores > threshold]\n","#         print(f\"Modified Z-Score outliers in {column} (threshold={threshold}): {len(outliers_modified_z[column])} ({len(outliers_modified_z[column])/len(X_train)*100:.2f}%)\")\n","\n","#         if len(outliers_modified_z[column]) > 0:\n","#             print(\"First few outliers:\")\n","#             print(outliers_modified_z[column].head())\n","#             print(\"\\n\")\n","#     else:\n","#         print(f\"MAD for {column} is zero - cannot compute modified Z-scores\")\n","\n","# # Handle target variable separately\n","# median_close = y_train.median()\n","# mad_close = np.median(np.abs(y_train - median_close))\n","\n","# if mad_close > 0:  # Avoid division by zero\n","#     modified_z_scores_close = 0.6745 * np.abs(y_train - median_close) / mad_close\n","#     threshold_close = thresholds['Close']\n","#     outliers_close_z_modified = y_train[modified_z_scores_close > threshold_close]\n","#     print(f\"Modified Z-Score outliers in Close (threshold={threshold_close}): {len(outliers_close_z_modified)} ({len(outliers_close_z_modified)/len(y_train)*100:.2f}%)\")\n","\n","#     if len(outliers_close_z_modified) > 0:\n","#         print(\"First few outliers:\")\n","#         print(outliers_close_z_modified.head())\n","#         print(\"\\n\")\n","# else:\n","#     print(\"MAD for Close is zero - cannot compute modified Z-scores\")\n","\n","# # Visualize the outliers\n","# plt.figure(figsize=(15, 8))\n","\n","# # Plot 1: Original Close Price with outliers from different methods\n","# plt.subplot(2, 1, 1)\n","# plt.plot(y_train.index, y_train, label='Close Price', color='blue', alpha=0.7)\n","# if len(outliers_close) > 0:\n","#     plt.scatter(outliers_close.index, outliers_close, color='red', label='Z-Score Outliers', alpha=0.7)\n","# if len(outliers_close_iqr) > 0:\n","#     plt.scatter(outliers_close_iqr.index, outliers_close_iqr, color='green', label='IQR Outliers', alpha=0.7)\n","# if len(outliers_close_z_modified) > 0:\n","#     plt.scatter(outliers_close_z_modified.index, outliers_close_z_modified, color='orange', label='Modified Z-Score Outliers', alpha=0.7)\n","# plt.title('Close Price with Outliers Detected by Different Methods')\n","# plt.legend()\n","# plt.grid(True)\n","\n","# # Plot 2: Compare methods with percentages\n","# methods = ['Z-Score', 'IQR', 'Modified Z-Score']\n","# percentages = [\n","#     len(outliers_close)/len(y_train)*100,\n","#     len(outliers_close_iqr)/len(y_train)*100,\n","#     len(outliers_close_z_modified)/len(y_train)*100\n","# ]\n","\n","# plt.subplot(2, 1, 2)\n","# plt.bar(methods, percentages, color=['red', 'green', 'orange'])\n","# plt.title('Percentage of Outliers Detected in Close Price')\n","# plt.ylabel('Percentage (%)')\n","# plt.grid(axis='y')\n","\n","# plt.tight_layout()\n","# plt.show()\n","\n","# # Select the best method based on visualization and percentages\n","# # Generally for crypto, use the method that gives reasonable outlier percentages (1-5%)\n","# selected_method = methods[np.argmin([abs(p - 2.5) for p in percentages])]  # Aim for closest to 2.5%\n","# print(f\"\\nBased on analysis, the recommended outlier detection method is: {selected_method}\")\n","\n","# # Apply treatment (capping) based on the selected method\n","# print(\"\\n----- Applying Outlier Treatment -----\")\n","# if selected_method == 'Z-Score':\n","#     # Apply capping based on Z-Score thresholds\n","#     for column in ['Open', 'High', 'Low', 'Volume']:\n","#         mean = X_train[column].mean()\n","#         std = X_train[column].std()\n","#         lower_bound = mean - 3 * std\n","#         upper_bound = mean + 3 * std\n","\n","#         # Apply to training data\n","#         X_train[column] = X_train[column].clip(lower=lower_bound, upper=upper_bound)\n","#         # Apply to validation data\n","#         X_valid[column] = X_valid[column].clip(lower=lower_bound, upper=upper_bound)\n","\n","#         print(f\"Z-Score capping applied to {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","\n","#     # Apply to target variable\n","#     mean_close = y_train.mean()\n","#     std_close = y_train.std()\n","#     lower_bound_close = mean_close - 3 * std_close\n","#     upper_bound_close = mean_close + 3 * std_close\n","\n","#     y_train = y_train.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#     y_valid = y_valid.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#     print(f\"Z-Score capping applied to Close: [{lower_bound_close:.2f}, {upper_bound_close:.2f}]\")\n","\n","# elif selected_method == 'IQR':\n","#     # Apply capping based on IQR thresholds\n","#     for column in ['Open', 'High', 'Low', 'Volume']:\n","#         Q1 = X_train[column].quantile(0.25)\n","#         Q3 = X_train[column].quantile(0.75)\n","#         IQR = Q3 - Q1\n","#         lower_bound = Q1 - 1.5 * IQR\n","#         upper_bound = Q3 + 1.5 * IQR\n","\n","#         # Apply to training data\n","#         X_train[column] = X_train[column].clip(lower=lower_bound, upper=upper_bound)\n","#         # Apply to validation data\n","#         X_valid[column] = X_valid[column].clip(lower=lower_bound, upper=upper_bound)\n","\n","#         print(f\"IQR capping applied to {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","\n","#     # Apply to target variable\n","#     Q1_close = y_train.quantile(0.25)\n","#     Q3_close = y_train.quantile(0.75)\n","#     IQR_close = Q3_close - Q1_close\n","#     lower_bound_close = Q1_close - 1.5 * IQR_close\n","#     upper_bound_close = Q3_close + 1.5 * IQR_close\n","\n","#     y_train = y_train.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#     y_valid = y_valid.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#     print(f\"IQR capping applied to Close: [{lower_bound_close:.2f}, {upper_bound_close:.2f}]\")\n","\n","# else:  # Modified Z-Score\n","#     # Apply capping based on Modified Z-Score thresholds\n","#     for column in ['Open', 'High', 'Low', 'Volume']:\n","#         median = X_train[column].median()\n","#         mad = np.median(np.abs(X_train[column] - median))\n","#         threshold = thresholds[column]\n","\n","#         if mad > 0:\n","#             lower_bound = median - (threshold * mad / 0.6745)\n","#             upper_bound = median + (threshold * mad / 0.6745)\n","\n","#             # Apply to training data\n","#             X_train[column] = X_train[column].clip(lower=lower_bound, upper=upper_bound)\n","#             # Apply to validation data\n","#             X_valid[column] = X_valid[column].clip(lower=lower_bound, upper=upper_bound)\n","\n","#             print(f\"Modified Z-Score capping applied to {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","\n","#     # Apply to target variable\n","#     median_close = y_train.median()\n","#     mad_close = np.median(np.abs(y_train - median_close))\n","#     threshold_close = thresholds['Close']\n","\n","#     if mad_close > 0:\n","#         lower_bound_close = median_close - (threshold_close * mad_close / 0.6745)\n","#         upper_bound_close = median_close + (threshold_close * mad_close / 0.6745)\n","\n","#         y_train = y_train.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#         y_valid = y_valid.clip(lower=lower_bound_close, upper=upper_bound_close)\n","#         print(f\"Modified Z-Score capping applied to Close: [{lower_bound_close:.2f}, {upper_bound_close:.2f}]\")\n","\n","# print(\"\\nOutlier treatment complete.\")"],"metadata":{"id":"VLY9MqsnzqBv"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# import matplotlib.pyplot as plt\n","# plt.figure(figsize=(12, 6))\n","# plt.plot(y_train.index, y_train)\n","# plt.scatter(outliers_close_z_modified.index, outliers_close_z_modified, color='red', alpha=0.5)\n","# plt.title('Close Price with Modified Z-Score Outliers')\n","# plt.show()"],"metadata":{"id":"4tSi1jFayg2o"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 5.2. Statistical-based outlier detection\n","\n","# # 5.2.1. Z-Score Method\n","# print(\"\\n----- Z-Score Method -----\")\n","# # Calculate z-scores for price and volume\n","# z_scores = {}\n","# for column in ['Open', 'High', 'Low', 'Volume']:\n","#     z_scores[column] = np.abs(stats.zscore(X_train[column]))\n","\n","#     # Identify outliers (typically |z| > 3)\n","#     outliers_others = X_train[z_scores[column] > 3]\n","#     print(f\"Z-Score outliers in {column}: {len(outliers_others)} ({len(outliers_others)/len(df)*100:.2f}%)\")\n","\n","# z_scores['Close'] = np.abs(stats.zscore(y_train))\n","# outliers_close = y_train[z_scores['Close'] > 3]\n","# print(f\"Z-Score outliers in Close: {len(outliers_close)} ({len(outliers_close)/len(y_train)*100:.2f}%)\")\n","\n","#     # if len(outliers) > 0:\n","#     #     print(\"First few outliers:\")\n","#     #     print(outliers.head())\n","#     #     print(\"\\n\")\n","\n","# 5.2.2. IQR Method\n","# print(\"\\n----- IQR Method -----\")\n","# outliers_iqr = pd.DataFrame()\n","\n","# for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","#     Q1 = df[column].quantile(0.25)\n","#     Q3 = df[column].quantile(0.75)\n","#     IQR = Q3 - Q1\n","\n","#     lower_bound = Q1 - 1.5 * IQR\n","#     upper_bound = Q3 + 1.5 * IQR\n","\n","#     column_outliers = df[(df[column] < lower_bound) | (df[column] > upper_bound)]\n","#     print(f\"IQR outliers in {column}: {len(column_outliers)} ({len(column_outliers)/len(df)*100:.2f}%)\")\n","\n","#     if len(column_outliers) > 0:\n","#         print(f\"Range for {column}: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","#         print(\"First few outliers:\")\n","#         print(column_outliers.head())\n","#         print(\"\\n\")\n","\n","#         # Store outliers for potential treatment\n","#         if column_outliers.shape[0] > 0:\n","#             if outliers_iqr.empty:\n","#                 outliers_iqr = column_outliers.copy()\n","#             else:\n","#                 outliers_iqr = pd.concat([outliers_iqr, column_outliers])\n","#                 outliers_iqr = outliers_iqr[~outliers_iqr.index.duplicated(keep='first')]\n","\n","# 5.2.3. Modified Z-Score (more robust to outliers)\n","# print(\"\\n----- Modified Z-Score Method -----\")\n","# for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","#     # Calculate median and MAD (Median Absolute Deviation)\n","#     median = df[column].median()\n","#     mad = np.median(np.abs(df[column] - median))\n","\n","#     # Calculate modified z-scores\n","#     if mad > 0:  # Avoid division by zero\n","#         modified_z_scores = 0.6745 * np.abs(df[column] - median) / mad\n","#         outliers = df[modified_z_scores > 3.5]  # Threshold commonly used\n","#         print(f\"Modified Z-Score outliers in {column}: {len(outliers)} ({len(outliers)/len(df)*100:.2f}%)\")\n","\n","#         if len(outliers) > 0:\n","#             print(\"First few outliers:\")\n","#             print(outliers.head())\n","#             print(\"\\n\")\n","#     else:\n","#         print(f\"MAD for {column} is zero - cannot compute modified Z-scores\")"],"metadata":{"id":"bct1Cg1svTcn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 5.3. Domain-specific outlier detection for cryptocurrencies\n","# print(\"\\n----- Domain-Specific Methods -----\")\n","\n","# # 5.3.1. Extreme price jumps (daily returns)\n","# print(\"\\n----- Extreme Price Jumps -----\")\n","# daily_returns = y_train.pct_change()\n","# extreme_returns = y_train[np.abs(daily_returns) > 0.20]  # 20% daily move is often considered extreme\n","# print(f\"Days with >20% price movement: {len(extreme_returns)} ({len(extreme_returns)/len(y_train)*100:.2f}%)\")\n","# if len(extreme_returns) > 0:\n","#     print(\"First few extreme movements:\")\n","#     print(extreme_returns.head())\n","\n","# # 5.3.2. Trading volume spikes\n","# print(\"\\n----- Volume Spikes -----\")\n","# # Calculate rolling average volume (20-day)\n","# X_train['Rolling_Volume_20d'] = X_train['Volume'].rolling(window=20).mean()\n","\n","# # Find days where volume exceeded 3x the rolling average\n","# volume_spikes = X_train[X_train['Volume'] > 3 * X_train['Rolling_Volume_20d']].dropna()\n","# print(f\"Volume spike days: {len(volume_spikes)} ({len(volume_spikes)/len(X_train.dropna())*100:.2f}%)\")\n","# if len(volume_spikes) > 0:\n","#     print(\"First few volume spikes:\")\n","#     print(volume_spikes[['Volume', 'Rolling_Volume_20d']].head())"],"metadata":{"id":"ll42zacyvVf4"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","# # 5.3.2. Extreme price jumps (daily returns)\n","# print(\"\\n----- Extreme Price Jumps -----\")\n","# daily_returns = y_valid.pct_change()\n","# extreme_returns = y_valid[np.abs(daily_returns) > 0.20]  # 20% daily move is often considered extreme\n","# print(f\"Days with >20% price movement: {len(extreme_returns)} ({len(extreme_returns)/len(y_valid)*100:.2f}%)\")\n","# if len(extreme_returns) > 0:\n","#     print(\"First few extreme movements:\")\n","#     print(extreme_returns.head())\n","\n","# # 5.3.2. Trading volume spikes\n","# print(\"\\n----- Volume Spikes -----\")\n","# # Calculate rolling average volume (20-day)\n","# X_valid['Rolling_Volume_20d'] = X_valid['Volume'].rolling(window=20).mean()\n","\n","# # Find days where volume exceeded 3x the rolling average\n","# volume_spikes = X_valid[X_valid['Volume'] > 3 * X_valid['Rolling_Volume_20d']].dropna()\n","# print(f\"Volume spike days: {len(volume_spikes)} ({len(volume_spikes)/len(X_valid.dropna())*100:.2f}%)\")\n","# if len(volume_spikes) > 0:\n","#     print(\"First few volume spikes:\")\n","#     print(volume_spikes[['Volume', 'Rolling_Volume_20d']].head())"],"metadata":{"id":"oTABWyIf6mda"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 5.4. Outlier Treatment\n","\n","# Create a copy of the original data for treatment demonstrations\n","df_treated = X_train.copy()\n","df_treated_c = y_train.copy()\n"],"metadata":{"id":"SeYSAKRvvaHQ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","from sklearn.ensemble import IsolationForest\n","\n","# Define thresholds from detection phase\n","PRICE_THRESHOLD = 3.75  # For Open, High, Low, Close\n","VOLUME_THRESHOLD = 3.0  # For Volume\n","\n","# ----------------------------------------------------------\n","# 1. Capping (MAD-Based Winsorization) - Best for Crypto\n","# ----------------------------------------------------------\n","def mad_based_capping(df_treated, column, threshold):\n","    \"\"\"Cap outliers using median and MAD instead of percentiles.\"\"\"\n","    median = df_treated[column].median()\n","    mad = np.median(np.abs(df_treated[column] - median))\n","    if mad == 0:\n","        return df_treated[column]  # Avoid division by zero\n","\n","    # Calculate bounds using modified Z-score formula\n","    upper_bound = median + (threshold * mad) / 0.6745\n","    lower_bound = median - (threshold * mad) / 0.6745\n","\n","    # Identify and cap outliers\n","    original = df_treated[column].copy()\n","    capped = original.clip(lower=lower_bound, upper=upper_bound)\n","\n","\n","    # Track changes\n","    n_outliers = (original != capped).sum()\n","    if n_outliers > 0:\n","        print(f\"\\n----- Capping (MAD) for {column} -----\")\n","        print(f\"Threshold: {threshold} | Outliers capped: {n_outliers}\")\n","        print(f\"Bounds: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","\n","        # Show sample changes\n","        # sample_idx = original[(original < lower_bound) | (original > upper_bound)].sample(3, random_state=42).index\n","        # print(\"\\nSample changes:\")\n","        # print(pd.DataFrame({\n","        #     'Original': original.loc[sample_idx],\n","        #     'Capped': capped.loc[sample_idx]\n","        # }))\n","\n","        # Get sample changes with timestamps\n","        outlier_mask = (original < lower_bound) | (original > upper_bound)\n","        sample_outliers = original[outlier_mask].sample(min(3, n_outliers), random_state=42)\n","\n","        print(\"\\nSample capped values:\")\n","        print(pd.DataFrame({\n","            'Date': sample_outliers.index,\n","            'Original': sample_outliers.values,\n","            'Capped': capped.loc[sample_outliers.index]\n","        }).to_string(index=False))\n","\n","\n","    return capped\n","\n","# Apply to all columns\n","print(\"\\n=== Outlier Treatment: MAD-Based Capping ===\")\n","for col in ['Open', 'High', 'Low']:\n","    df_treated[col] = mad_based_capping(df_treated, col, PRICE_THRESHOLD)\n","df_treated['Volume'] = mad_based_capping(df_treated, 'Volume', VOLUME_THRESHOLD)\n","\n","def mad_based_capping_close(df_treated_c, threshold):\n","    \"\"\"Cap outliers using median and MAD instead of percentiles for Close.\"\"\"\n","    median = df_treated_c.median()\n","    mad = np.median(np.abs(df_treated_c - median))\n","    if mad == 0:\n","        return df_treated_c  # Avoid division by zero\n","\n","    upper_bound = median + (threshold * mad) / 0.6745\n","    lower_bound = median - (threshold * mad) / 0.6745\n","\n","    original = df_treated_c.copy()\n","    capped = original.clip(lower=lower_bound, upper=upper_bound)\n","\n","    n_outliers = (original != capped).sum()\n","    if n_outliers > 0:\n","        print(f\"\\n----- Capping (MAD) for Close -----\")\n","        print(f\"Threshold: {threshold} | Outliers capped: {n_outliers}\")\n","        print(f\"Bounds: [{lower_bound:.2f}, {upper_bound:.2f}]\")\n","\n","        # sample_idx = original[(original < lower_bound) | (original > upper_bound)].sample(3, random_state=42).index\n","        # print(\"\\nSample changes:\")\n","        # print(pd.DataFrame({\n","        #     'Original': original.loc[sample_idx],\n","        #     'Capped': capped.loc[sample_idx]\n","        # }))\n","\n","        outlier_mask = (original < lower_bound) | (original > upper_bound)\n","        sample_outliers = original[outlier_mask].sample(min(3, n_outliers), random_state=42)\n","\n","        print(\"\\nSample capped values:\")\n","        print(pd.DataFrame({\n","            'Date': sample_outliers.index,\n","            'Original': sample_outliers.values,\n","            'Capped': capped.loc[sample_outliers.index]\n","        }).to_string(index=False))\n","\n","    return capped\n","\n","df_treated_c = mad_based_capping_close(df_treated_c, PRICE_THRESHOLD)\n","\n","\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# List of columns to visualize\n","features_to_plot = ['Open', 'High', 'Low', 'Close', 'Volume']\n","\n","# Create subplots\n","fig, axes = plt.subplots(nrows=len(features_to_plot), ncols=2, figsize=(14, 4 * len(features_to_plot)))\n","fig.suptitle(\"MAD-Based Outlier Capping (Before vs. After)\", fontsize=18, y=1.02)\n","\n","for i, col in enumerate(features_to_plot):\n","    # Original data\n","    sns.boxplot(data=df[col], ax=axes[i, 0], color=\"skyblue\")\n","    axes[i, 0].set_title(f\"{col} - Before Capping\")\n","\n","    # Treated data\n","    treated_data = df_treated[col] if col != 'Close' else df_treated_c\n","    sns.boxplot(data=treated_data, ax=axes[i, 1], color=\"lightgreen\")\n","    axes[i, 1].set_title(f\"{col} - After Capping\")\n","\n","plt.tight_layout()\n","plt.show()\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"hMozfzuzITzY","executionInfo":{"status":"ok","timestamp":1745469981893,"user_tz":-330,"elapsed":2287,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"96b65e3d-c464-48f1-8891-d0437fd0e431"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","=== Outlier Treatment: MAD-Based Capping ===\n","\n","----- Capping (MAD) for Open -----\n","Threshold: 3.75 | Outliers capped: 39\n","Bounds: [-111.02, 197.88]\n","\n","Sample capped values:\n","                     Date  Original     Capped\n","2021-12-03 00:00:00+00:00    233.89 197.877739\n","2021-12-27 00:00:00+00:00    197.89 197.877739\n","2021-11-01 00:00:00+00:00    202.66 197.877739\n","\n","----- Capping (MAD) for High -----\n","Threshold: 3.75 | Outliers capped: 37\n","Bounds: [-117.92, 208.98]\n","\n","Sample capped values:\n","                     Date  Original     Capped\n","2021-11-14 00:00:00+00:00    241.94 208.984411\n","2021-11-10 00:00:00+00:00    248.09 208.984411\n","2021-11-01 00:00:00+00:00    211.66 208.984411\n","\n","----- Capping (MAD) for Low -----\n","Threshold: 3.75 | Outliers capped: 39\n","Bounds: [-105.81, 189.19]\n","\n","Sample capped values:\n","                     Date  Original     Capped\n","2021-12-25 00:00:00+00:00    189.33 189.188147\n","2024-03-18 00:00:00+00:00    193.87 189.188147\n","2021-11-01 00:00:00+00:00    198.05 189.188147\n","\n","----- Capping (MAD) for Volume -----\n","Threshold: 3.0 | Outliers capped: 38\n","Bounds: [-2738285185.54, 5469112083.54]\n","\n","Sample capped values:\n","                     Date     Original       Capped\n","2024-04-05 00:00:00+00:00 7.398400e+09 5.469112e+09\n","2024-04-15 00:00:00+00:00 5.699439e+09 5.469112e+09\n","2021-09-08 00:00:00+00:00 1.318721e+10 5.469112e+09\n","\n","----- Capping (MAD) for Close -----\n","Threshold: 3.75 | Outliers capped: 38\n","Bounds: [-111.57, 198.65]\n","\n","Sample capped values:\n","                     Date  Original   Capped\n","2021-12-02 00:00:00+00:00    233.89 198.6549\n","2024-03-17 00:00:00+00:00    201.69 198.6549\n","2021-10-31 00:00:00+00:00    202.66 198.6549\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x2000 with 10 Axes>"],"image/png":"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import matplotlib.pyplot as plt\n","# import seaborn as sns\n","\n","# # List of columns to visualize\n","# features_to_plot = ['Open', 'High', 'Low', 'Close', 'Volume']\n","\n","# # Create subplots\n","# fig, axes = plt.subplots(nrows=len(features_to_plot), ncols=2, figsize=(14, 4 * len(features_to_plot)))\n","# fig.suptitle(\"MAD-Based Outlier Capping (Before vs. After)\", fontsize=18, y=1.02)\n","\n","# for i, col in enumerate(features_to_plot):\n","#     # Original data\n","#     sns.boxplot(data=df[col], ax=axes[i, 0], color=\"skyblue\")\n","#     axes[i, 0].set_title(f\"{col} - Before Capping\")\n","\n","#     # Treated data\n","#     treated_data = df_treated[col] if col != 'Close' else df_treated_c\n","#     sns.boxplot(data=treated_data, ax=axes[i, 1], color=\"lightgreen\")\n","#     axes[i, 1].set_title(f\"{col} - After Capping\")\n","\n","# plt.tight_layout()\n","# plt.show()"],"metadata":{"id":"uObr67OMrV3W"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # Create another copy for smoothing demonstration\n","# df_smoothed = X_train.copy()\n","# df_smoothed_c = y_train.copy()"],"metadata":{"id":"CJQrI3bANLay"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","\n","# # Apply rolling average smoothing for Open, High, Low, Volume\n","# for window in [3, 7, 14]:\n","#     for column in ['Open', 'High', 'Low', 'Volume']:\n","#         df_smoothed[f'{column}_SMA{window}'] = df_smoothed[column].rolling(window=window, center=False).mean()\n","\n","# # Ensure df_smoothed_c is a DataFrame to hold new columns\n","# df_smoothed_c = pd.DataFrame(df_smoothed_c)\n","\n","# # Apply rolling average smoothing for Close separately\n","# for window in [3, 7, 14]:\n","#     df_smoothed_c[f'Close_SMA{window}'] = df_smoothed_c['Close'].rolling(window=window, center=False).mean()\n","\n","\n","# # === Smoothing example for extreme return days ===\n","# if len(extreme_returns) > 0:\n","#     sample_dates = extreme_returns.head().index\n","\n","#     print(\"Smoothing example for extreme price movement days (Close):\")\n","#     smoothing_comparison = pd.DataFrame({\n","#         'Original_Close': df_smoothed_c.loc[sample_dates, 'Close'],\n","#         'SMA3': df_smoothed_c.loc[sample_dates, 'Close_SMA3'],\n","#         'SMA7': df_smoothed_c.loc[sample_dates, 'Close_SMA7'],\n","#         'SMA14': df_smoothed_c.loc[sample_dates, 'Close_SMA14'],\n","#     })\n","#     print(smoothing_comparison)\n","\n","#     # # === Plot: Close Price Original vs Smoothed ===\n","#     # plt.figure(figsize=(14, 7))\n","#     # plt.plot(df_smoothed_c.index[-100:], df_smoothed_c['Close'][-100:], label='Original Close', alpha=0.7)\n","#     # plt.plot(df_smoothed_c.index[-100:], df_smoothed_c['Close_SMA7'][-100:], label='7-day SMA', color='orange')\n","#     # plt.title('Original vs Smoothed Close Price (Last 100 Days)')\n","#     # plt.xlabel('Date')\n","#     # plt.ylabel('Price')\n","#     # plt.grid(True)\n","#     # plt.legend()\n","#     # plt.tight_layout()\n","#     # plt.show()\n"],"metadata":{"id":"fC79qjskPIWL"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 5.4.3. Isolation Forest for Anomaly Detection\n","# print(\"\\n----- Outlier Treatment: Isolation Forest -----\")\n","# from sklearn.ensemble import IsolationForest\n","\n","# # Select features for anomaly detection\n","# features = X_train[['Open', 'High', 'Low', 'Volume']].copy()\n","# features_c = y_train.copy()\n","\n","# # Fit the model\n","# isolation_forest = IsolationForest(contamination=0.05, random_state=42)\n","# anomalies = isolation_forest.fit_predict(features)\n","\n","# anomalies_c = isolation_forest.fit_predict(features_c)\n","\n","# # Identify the anomalies (outliers are represented by -1)\n","# anomaly_indices = np.where(anomalies == -1)[0]\n","# print(f\"Isolation Forest detected {len(anomaly_indices)} anomalies ({len(anomaly_indices)/len(X_train)*100:.2f}%)\")\n","\n","# anomaly_indices_c = np.where(anomalies_c == -1)[0]\n","# print(f\"Isolation Forest detected {len(anomaly_indices_c)} anomalies ({len(anomaly_indices_c)/len(y_train)*100:.2f}%)\")\n","\n","# if len(anomaly_indices) > 0:\n","#     anomaly_dates = df.iloc[anomaly_indices].index\n","#     print(\"First few anomaly dates:\")\n","#     print(anomaly_dates[:5])\n","\n","#     # Plot identified anomalies\n","#     plt.figure(figsize=(14, 7))\n","#     plt.plot(X_train.index, X_train['Volume'], color='blue', label='Volume')\n","#     plt.scatter(anomaly_dates, X_train.loc[anomaly_dates, 'Close'], color='red', label='Anomalies')\n","#     plt.title('Anomalies Detected by Isolation Forest')\n","#     plt.legend()\n","#     plt.grid(True)\n","#     plt.show()\n","\n","# if len(anomaly_indices_c) > 0:\n","#     anomaly_dates_c = df.iloc[anomaly_indices_c].index\n","#     print(\"First few anomaly dates:\")\n","#     print(anomaly_dates_c[:5])\n","\n","#     # Plot identified anomalies\n","#     plt.figure(figsize=(14, 7))\n","#     plt.plot(y_train.index, y_train['Close'], color='blue', label='Close Price')\n","#     plt.scatter(anomaly_dates, y_train.loc[anomaly_dates, 'Close'], color='red', label='Anomalies')\n","#     plt.title('Anomalies Detected by Isolation Forest')\n","#     plt.legend()\n","#     plt.grid(True)\n","#     plt.show()"],"metadata":{"id":"jywCCequUkFd"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # # 5.4.1. Capping Method (Winsorization)\n","# # print(\"\\n----- Outlier Treatment: Capping (Winsorization) -----\")\n","# # for column in ['Open', 'High', 'Low', 'Close', 'Volume']:\n","# #     Q1 = df_treated[column].quantile(0.01)  # 1st percentile\n","# #     Q3 = df_treated[column].quantile(0.99)  # 99th percentile\n","\n","# #     # Count values outside the range\n","# #     outliers_count = ((df_treated[column] < Q1) | (df_treated[column] > Q3)).sum()\n","\n","# #     if outliers_count > 0:\n","# #         print(f\"Capping {outliers_count} values in {column}\")\n","\n","# #         # Store original values for a sample\n","# #         sample_idx = df_treated[(df_treated[column] < Q1) | (df_treated[column] > Q3)].head().index\n","# #         original_values = df_treated.loc[sample_idx, column].copy()\n","\n","# #         # Apply capping\n","# #         df_treated[column] = df_treated[column].clip(lower=Q1, upper=Q3)\n","\n","# #         # Show before/after for a sample\n","# #         if len(sample_idx) > 0:\n","# #             print(\"Sample before/after capping:\")\n","# #             comparison = pd.DataFrame({\n","# #                 'Original': original_values,\n","# #                 'After Capping': df_treated.loc[sample_idx, column]\n","# #             })\n","# #             print(comparison)\n","# #             print(\"\\n\")\n","\n","# # 5.4.2. Smoothing Method (Rolling Average)\n","# # print(\"\\n----- Outlier Treatment: Smoothing -----\")\n","# # Create another copy for smoothing demonstration\n","# # df_smoothed = X_train.copy()\n","# # df_smoothed_c = y_train.copy()\n","\n","# # Add rolling average columns\n","# # for window in [3, 7, 14]:\n","# #     for column in ['Open', 'High', 'Low', 'Volume']:\n","# #         df_smoothed[f'{column}_SMA{window}'] = df_smoothed[column].rolling(window=window, center=False).mean()\n","# #     df_smoothed_c[f'{'Close'}_SMA{window}'] = df_smoothed_c.rolling(window=window, center=False).mean()\n","\n","# # # Show examples of original vs. smoothed values for potential outliers\n","# # if len(extreme_returns) > 0:\n","# #     sample_dates = extreme_returns.head().index\n","# #     print(\"Smoothing example for extreme price movement days:\")\n","# #     smoothing_comparison = pd.DataFrame({\n","# #         'Original_Close': df_smoothed.loc[sample_dates, 'Close'],\n","# #         'SMA3': df_smoothed.loc[sample_dates, 'Close_SMA3'],\n","# #         'SMA7': df_smoothed.loc[sample_dates, 'Close_SMA7'],\n","# #         'SMA14': df_smoothed.loc[sample_dates, 'Close_SMA14'],\n","# #     })\n","# #     print(smoothing_comparison)\n","\n","# #     # Visualize original vs smoothed data\n","# #     plt.figure(figsize=(14, 7))\n","# #     plt.plot(df_smoothed.index[-100:], df_smoothed['Close'][-100:], label='Original Close')\n","# #     plt.plot(df_smoothed.index[-100:], df_smoothed['Close_SMA7'][-100:], label='7-day SMA')\n","# #     plt.title('Original vs Smoothed Closing Prices (Last 100 Days)')\n","# #     plt.legend()\n","# #     plt.grid(True)\n","# #     plt.show()\n","\n","# # 5.4.3. Isolation Forest for Anomaly Detection\n","# print(\"\\n----- Outlier Treatment: Isolation Forest -----\")\n","# from sklearn.ensemble import IsolationForest\n","\n","# # Select features for anomaly detection\n","# features = df[['Open', 'High', 'Low', 'Close', 'Volume']].copy()\n","\n","# # Fit the model\n","# isolation_forest = IsolationForest(contamination=0.05, random_state=42)\n","# anomalies = isolation_forest.fit_predict(features)\n","\n","# # Identify the anomalies (outliers are represented by -1)\n","# anomaly_indices = np.where(anomalies == -1)[0]\n","# print(f\"Isolation Forest detected {len(anomaly_indices)} anomalies ({len(anomaly_indices)/len(df)*100:.2f}%)\")\n","\n","# if len(anomaly_indices) > 0:\n","#     anomaly_dates = df.iloc[anomaly_indices].index\n","#     print(\"First few anomaly dates:\")\n","#     print(anomaly_dates[:5])\n","\n","#     # Plot identified anomalies\n","#     plt.figure(figsize=(14, 7))\n","#     plt.plot(df.index, df['Close'], color='blue', label='Close Price')\n","#     plt.scatter(anomaly_dates, df.loc[anomaly_dates, 'Close'], color='red', label='Anomalies')\n","#     plt.title('Anomalies Detected by Isolation Forest')\n","#     plt.legend()\n","#     plt.grid(True)\n","#     plt.show()"],"metadata":{"id":"zsv6D-H8vbe3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 5.5. Decide which treatment to use (based on analysis)\n","print(\"\\n----- Final Decision on Outlier Treatment -----\")\n","print(\"Based on the above analysis, we recommend:\")\n","print(\"1. For cryptocurrency data, most 'outliers' are actually significant market events\")\n","print(\"2. Rather than removing them, we should consider using them as features\")\n","print(\"3. For modeling, we recommend using the original data with additional features that capture:\")\n","print(\"   - Volatility (e.g., rolling standard deviation)\")\n","print(\"   - Extreme moves (e.g., binary flags for days with >10% moves)\")\n","print(\"   - Volume spikes (e.g., ratio of volume to rolling average)\")\n","print(\"4. If smoothing is necessary, consider adding smoothed features (SMAs) alongside original data\")\n","\n","# # Add recommended features to original dataset\n","# df['Returns'] = df['Close'].pct_change()\n","# df['Returns_Abs'] = np.abs(df['Returns'])\n","# df['Volatility_14d'] = df['Returns'].rolling(window=14).std()\n","# df['Volume_Ratio'] = df['Volume'] / df['Volume'].rolling(window=20).mean()\n","# df['Extreme_Move'] = (np.abs(df['Returns']) > 0.10).astype(int)\n","\n","# print(\"\\nFinal dataset with added features:\")\n","# print(df.tail())"],"metadata":{"id":"Y9m871oavdo3","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745470915473,"user_tz":-330,"elapsed":8,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"4002ca8f-1094-4e05-8e33-47ca25e994e5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","----- Final Decision on Outlier Treatment -----\n","Based on the above analysis, we recommend:\n","1. For cryptocurrency data, most 'outliers' are actually significant market events\n","2. Rather than removing them, we should consider using them as features\n","3. For modeling, we recommend using the original data with additional features that capture:\n","   - Volatility (e.g., rolling standard deviation)\n","   - Extreme moves (e.g., binary flags for days with >10% moves)\n","   - Volume spikes (e.g., ratio of volume to rolling average)\n","4. If smoothing is necessary, consider adding smoothed features (SMAs) alongside original data\n"]}]},{"cell_type":"code","source":["df_treated.head()"],"metadata":{"id":"2uInuybOvsHv","colab":{"base_uri":"https://localhost:8080/","height":373},"executionInfo":{"status":"ok","timestamp":1745470918352,"user_tz":-330,"elapsed":38,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"cfcdd980-544f-4af3-f211-099542a30d51"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low       Volume   Returns  \\\n","date                                                                    \n","2021-07-19 00:00:00+00:00  26.67  26.70  24.01  361915410.0 -0.081365   \n","2021-07-20 00:00:00+00:00  24.50  24.98  22.12  413439963.0 -0.042449   \n","2021-07-21 00:00:00+00:00  23.46  27.45  22.83  555770206.0  0.135124   \n","2021-07-22 00:00:00+00:00  26.63  28.18  25.94  364666998.0  0.040556   \n","2021-07-23 00:00:00+00:00  27.71  28.70  26.41  407955237.0  0.028870   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00     0.081365        0.057010      1.020097   \n","2021-07-20 00:00:00+00:00     0.042449        0.059341      1.183664   \n","2021-07-21 00:00:00+00:00     0.135124        0.057102      1.627863   \n","2021-07-22 00:00:00+00:00     0.040556        0.066915      1.055579   \n","2021-07-23 00:00:00+00:00     0.028870        0.064858      1.193953   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2021-07-19 00:00:00+00:00             0        26.67  ...   \n","2021-07-20 00:00:00+00:00             0        24.50  ...   \n","2021-07-21 00:00:00+00:00             0        23.46  ...   \n","2021-07-22 00:00:00+00:00             1        26.63  ...   \n","2021-07-23 00:00:00+00:00             0        27.71  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2021-07-19 00:00:00+00:00                   0.643045      38.1    24.01   \n","2021-07-20 00:00:00+00:00                   0.615748      38.1    22.12   \n","2021-07-21 00:00:00+00:00                   0.698950      38.1    22.12   \n","2021-07-22 00:00:00+00:00                   0.727297      38.1    22.12   \n","2021-07-23 00:00:00+00:00                   0.748294      38.1    22.12   \n","\n","                           Price_Range_Width  In_Range_Market    ATH  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00           0.575102                0  55.98   \n","2021-07-20 00:00:00+00:00           0.681159                0  55.98   \n","2021-07-21 00:00:00+00:00           0.600075                0  55.98   \n","2021-07-22 00:00:00+00:00           0.576687                0  55.98   \n","2021-07-23 00:00:00+00:00           0.560505                0  55.98   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2021-07-19 00:00:00+00:00              43    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00              43    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00              43    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00              43    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00              43    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-03c0ce71-b826-4a8a-837a-6ca07ad71c6c\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","       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<th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>26.67</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      <td>3.198673</td>\n","      <td>19.706921</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>24.50</td>\n","      <td>24.98</td>\n","      <td>22.12</td>\n","      <td>413439963.0</td>\n","      <td>-0.042449</td>\n","      <td>0.042449</td>\n","      <td>0.059341</td>\n","      <td>1.183664</td>\n","      <td>0</td>\n","      <td>24.50</td>\n","      <td>...</td>\n","      <td>0.615748</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.681159</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-58.092176</td>\n","      <td>3.155297</td>\n","      <td>19.840023</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>23.46</td>\n","      <td>27.45</td>\n","      <td>22.83</td>\n","      <td>555770206.0</td>\n","      <td>0.135124</td>\n","      <td>0.135124</td>\n","      <td>0.057102</td>\n","      <td>1.627863</td>\n","      <td>0</td>\n","      <td>23.46</td>\n","      <td>...</td>\n","      <td>0.698950</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.600075</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-52.429439</td>\n","      <td>3.282038</td>\n","      <td>20.135865</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>26.63</td>\n","      <td>28.18</td>\n","      <td>25.94</td>\n","      <td>364666998.0</td>\n","      <td>0.040556</td>\n","      <td>0.040556</td>\n","      <td>0.066915</td>\n","      <td>1.055579</td>\n","      <td>1</td>\n","      <td>26.63</td>\n","      <td>...</td>\n","      <td>0.727297</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.576687</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-50.500179</td>\n","      <td>3.321793</td>\n","      <td>19.714495</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>27.71</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-03c0ce71-b826-4a8a-837a-6ca07ad71c6c')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg 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\n","2024-07-13 00:00:00+00:00  139.55  143.58  138.04  1.131518e+09  0.017198   \n","2024-07-14 00:00:00+00:00  141.95  148.58  141.94  2.009294e+09  0.040648   \n","2024-07-15 00:00:00+00:00  147.72  160.06  147.11  2.580624e+09  0.080016   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2024-07-11 00:00:00+00:00     0.044363        0.062159      0.987970   \n","2024-07-12 00:00:00+00:00     0.028296        0.057747      0.858445   \n","2024-07-13 00:00:00+00:00     0.017198        0.055649      0.477346   \n","2024-07-14 00:00:00+00:00     0.040648        0.055809      0.846441   \n","2024-07-15 00:00:00+00:00     0.080016        0.055510      1.120423   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2024-07-11 00:00:00+00:00             0       142.01  ...   \n","2024-07-12 00:00:00+00:00             0       135.71  ...   \n","2024-07-13 00:00:00+00:00             0       139.55  ...   \n","2024-07-14 00:00:00+00:00             0       141.95  ...   \n","2024-07-15 00:00:00+00:00             0       147.72  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2024-07-11 00:00:00+00:00                   0.876793    154.78   121.19   \n","2024-07-12 00:00:00+00:00                   0.901602    154.78   121.19   \n","2024-07-13 00:00:00+00:00                   0.917108    154.78   121.19   \n","2024-07-14 00:00:00+00:00                   0.954387    154.78   121.19   \n","2024-07-15 00:00:00+00:00                   0.996751    160.06   121.19   \n","\n","                           Price_Range_Width  In_Range_Market     ATH  \\\n","date                                                                    \n","2024-07-11 00:00:00+00:00           0.247513                0  258.63   \n","2024-07-12 00:00:00+00:00           0.240702                0  258.63   \n","2024-07-13 00:00:00+00:00           0.236633                0  258.63   \n","2024-07-14 00:00:00+00:00           0.227390                0  258.63   \n","2024-07-15 00:00:00+00:00           0.243638                0  258.63   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2024-07-11 00:00:00+00:00              65    -47.527356   4.910520   21.550459  \n","2024-07-12 00:00:00+00:00              65    -46.042609   4.938423   21.411488  \n","2024-07-13 00:00:00+00:00              65    -45.114643   4.955475   20.846826  \n","2024-07-14 00:00:00+00:00              65    -42.883656   4.995319   21.421049  \n","2024-07-15 00:00:00+00:00              65    -38.313421   5.072295   21.671297  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-b2f0a4c5-2034-4fc2-b9f3-fb1d18a2757f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2024-07-11 00:00:00+00:00</th>\n","      <td>142.01</td>\n","      <td>145.93</td>\n","      <td>135.70</td>\n","      <td>2.286891e+09</td>\n","      <td>-0.044363</td>\n","      <td>0.044363</td>\n","      <td>0.062159</td>\n","      <td>0.987970</td>\n","      <td>0</td>\n","      <td>142.01</td>\n","      <td>...</td>\n","      <td>0.876793</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.247513</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-47.527356</td>\n","      <td>4.910520</td>\n","      <td>21.550459</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-12 00:00:00+00:00</th>\n","      <td>135.71</td>\n","      <td>140.64</td>\n","      <td>133.99</td>\n","      <td>1.990173e+09</td>\n","      <td>0.028296</td>\n","      <td>0.028296</td>\n","      <td>0.057747</td>\n","      <td>0.858445</td>\n","      <td>0</td>\n","      <td>135.71</td>\n","      <td>...</td>\n","      <td>0.901602</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.240702</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-46.042609</td>\n","      <td>4.938423</td>\n","      <td>21.411488</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-13 00:00:00+00:00</th>\n","      <td>139.55</td>\n","      <td>143.58</td>\n","      <td>138.04</td>\n","      <td>1.131518e+09</td>\n","      <td>0.017198</td>\n","      <td>0.017198</td>\n","      <td>0.055649</td>\n","      <td>0.477346</td>\n","      <td>0</td>\n","      <td>139.55</td>\n","      <td>...</td>\n","      <td>0.917108</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.236633</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-45.114643</td>\n","      <td>4.955475</td>\n","      <td>20.846826</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-14 00:00:00+00:00</th>\n","      <td>141.95</td>\n","      <td>148.58</td>\n","      <td>141.94</td>\n","      <td>2.009294e+09</td>\n","      <td>0.040648</td>\n","      <td>0.040648</td>\n","      <td>0.055809</td>\n","      <td>0.846441</td>\n","      <td>0</td>\n","      <td>141.95</td>\n","      <td>...</td>\n","      <td>0.954387</td>\n","      <td>154.78</td>\n","      <td>121.19</td>\n","      <td>0.227390</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-42.883656</td>\n","      <td>4.995319</td>\n","      <td>21.421049</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-15 00:00:00+00:00</th>\n","      <td>147.72</td>\n","      <td>160.06</td>\n","      <td>147.11</td>\n","      <td>2.580624e+09</td>\n","      <td>0.080016</td>\n","      <td>0.080016</td>\n","      <td>0.055510</td>\n","      <td>1.120423</td>\n","      <td>0</td>\n","      <td>147.72</td>\n","      <td>...</td>\n","      <td>0.996751</td>\n","      <td>160.06</td>\n","      <td>121.19</td>\n","      <td>0.243638</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-38.313421</td>\n","      <td>5.072295</td>\n","      <td>21.671297</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button 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float64</label>"]},"metadata":{},"execution_count":78}]},{"cell_type":"code","source":["df_treated_c.tail()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272},"id":"4G2qd9NXt2VX","executionInfo":{"status":"ok","timestamp":1745470928032,"user_tz":-330,"elapsed":39,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"d9a5595c-5fe7-4690-864f-a5551f98c60e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date\n","2024-07-11 00:00:00+00:00    135.71\n","2024-07-12 00:00:00+00:00    139.55\n","2024-07-13 00:00:00+00:00    141.95\n","2024-07-14 00:00:00+00:00    147.72\n","2024-07-15 00:00:00+00:00    159.54\n","Name: Close, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        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float64</label>"]},"metadata":{},"execution_count":79}]},{"cell_type":"code","source":["X_train.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":373},"id":"nr0EhDhF7dr6","executionInfo":{"status":"ok","timestamp":1745470929335,"user_tz":-330,"elapsed":57,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"a5904964-9cad-481e-f0f7-d17a2bbd4f25"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low       Volume   Returns  \\\n","date                                                                    \n","2021-07-19 00:00:00+00:00  26.67  26.70  24.01  361915410.0 -0.081365   \n","2021-07-20 00:00:00+00:00  24.50  24.98  22.12  413439963.0 -0.042449   \n","2021-07-21 00:00:00+00:00  23.46  27.45  22.83  555770206.0  0.135124   \n","2021-07-22 00:00:00+00:00  26.63  28.18  25.94  364666998.0  0.040556   \n","2021-07-23 00:00:00+00:00  27.71  28.70  26.41  407955237.0  0.028870   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00     0.081365        0.057010      1.020097   \n","2021-07-20 00:00:00+00:00     0.042449        0.059341      1.183664   \n","2021-07-21 00:00:00+00:00     0.135124        0.057102      1.627863   \n","2021-07-22 00:00:00+00:00     0.040556        0.066915      1.055579   \n","2021-07-23 00:00:00+00:00     0.028870        0.064858      1.193953   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2021-07-19 00:00:00+00:00             0        26.67  ...   \n","2021-07-20 00:00:00+00:00             0        24.50  ...   \n","2021-07-21 00:00:00+00:00             0        23.46  ...   \n","2021-07-22 00:00:00+00:00             1        26.63  ...   \n","2021-07-23 00:00:00+00:00             0        27.71  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2021-07-19 00:00:00+00:00                   0.643045      38.1    24.01   \n","2021-07-20 00:00:00+00:00                   0.615748      38.1    22.12   \n","2021-07-21 00:00:00+00:00                   0.698950      38.1    22.12   \n","2021-07-22 00:00:00+00:00                   0.727297      38.1    22.12   \n","2021-07-23 00:00:00+00:00                   0.748294      38.1    22.12   \n","\n","                           Price_Range_Width  In_Range_Market    ATH  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00           0.575102                0  55.98   \n","2021-07-20 00:00:00+00:00           0.681159                0  55.98   \n","2021-07-21 00:00:00+00:00           0.600075                0  55.98   \n","2021-07-22 00:00:00+00:00           0.576687                0  55.98   \n","2021-07-23 00:00:00+00:00           0.560505                0  55.98   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2021-07-19 00:00:00+00:00              43    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00              43    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00              43    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00              43    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00              43    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-2fce1dc1-ecf0-4ee5-8fca-cc2d8bb51cdb\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    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<th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>26.67</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      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<td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>27.71</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2fce1dc1-ecf0-4ee5-8fca-cc2d8bb51cdb')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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\n","2024-07-18 00:00:00+00:00  155.50  161.61  155.20  2.044591e+09  0.023794   \n","2024-07-19 00:00:00+00:00  159.20  172.37  156.21  3.617010e+09  0.062814   \n","2024-07-20 00:00:00+00:00  169.20  175.03  167.34  1.908476e+09  0.026478   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2024-07-16 00:00:00+00:00     0.006958        0.059276      1.315560   \n","2024-07-17 00:00:00+00:00     0.032057        0.058043      0.949896   \n","2024-07-18 00:00:00+00:00     0.023794        0.053253      0.871585   \n","2024-07-19 00:00:00+00:00     0.062814        0.044840      1.553527   \n","2024-07-20 00:00:00+00:00     0.026478        0.045637      0.778286   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2024-07-16 00:00:00+00:00             0       159.54  ...   \n","2024-07-17 00:00:00+00:00             0       160.65  ...   \n","2024-07-18 00:00:00+00:00             0       155.50  ...   \n","2024-07-19 00:00:00+00:00             0       159.20  ...   \n","2024-07-20 00:00:00+00:00             0       169.20  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2024-07-16 00:00:00+00:00                   0.987947    162.61   121.19   \n","2024-07-17 00:00:00+00:00                   0.949328    163.80   121.19   \n","2024-07-18 00:00:00+00:00                   0.971917    163.80   121.19   \n","2024-07-19 00:00:00+00:00                   0.981609    172.37   121.19   \n","2024-07-20 00:00:00+00:00                   0.992287    175.03   121.19   \n","\n","                           Price_Range_Width  In_Range_Market     ATH  \\\n","date                                                                    \n","2024-07-16 00:00:00+00:00           0.257828                0  258.63   \n","2024-07-17 00:00:00+00:00           0.274019                0  258.63   \n","2024-07-18 00:00:00+00:00           0.267651                0  258.63   \n","2024-07-19 00:00:00+00:00           0.302482                0  258.63   \n","2024-07-20 00:00:00+00:00           0.309995                0  258.63   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2024-07-16 00:00:00+00:00              65    -37.884236   5.079228   21.833225  \n","2024-07-17 00:00:00+00:00              65    -39.875498   5.046646   21.536705  \n","2024-07-18 00:00:00+00:00              65    -38.444883   5.070161   21.438464  \n","2024-07-19 00:00:00+00:00              65    -34.578355   5.131081   22.008914  \n","2024-07-20 00:00:00+00:00              65    -32.846151   5.157215   21.369571  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-679accb3-25f4-4eca-aa09-85a35f88d688\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2024-07-16 00:00:00+00:00</th>\n","      <td>159.54</td>\n","      <td>162.61</td>\n","      <td>152.66</td>\n","      <td>3.034235e+09</td>\n","      <td>0.006958</td>\n","      <td>0.006958</td>\n","      <td>0.059276</td>\n","      <td>1.315560</td>\n","      <td>0</td>\n","      <td>159.54</td>\n","      <td>...</td>\n","      <td>0.987947</td>\n","      <td>162.61</td>\n","      <td>121.19</td>\n","      <td>0.257828</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-37.884236</td>\n","      <td>5.079228</td>\n","      <td>21.833225</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-17 00:00:00+00:00</th>\n","      <td>160.65</td>\n","      <td>163.80</td>\n","      <td>154.61</td>\n","      <td>2.255653e+09</td>\n","      <td>-0.032057</td>\n","      <td>0.032057</td>\n","      <td>0.058043</td>\n","      <td>0.949896</td>\n","      <td>0</td>\n","      <td>160.65</td>\n","      <td>...</td>\n","      <td>0.949328</td>\n","      <td>163.80</td>\n","      <td>121.19</td>\n","      <td>0.274019</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-39.875498</td>\n","      <td>5.046646</td>\n","      <td>21.536705</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-18 00:00:00+00:00</th>\n","      <td>155.50</td>\n","      <td>161.61</td>\n","      <td>155.20</td>\n","      <td>2.044591e+09</td>\n","      <td>0.023794</td>\n","      <td>0.023794</td>\n","      <td>0.053253</td>\n","      <td>0.871585</td>\n","      <td>0</td>\n","      <td>155.50</td>\n","      <td>...</td>\n","      <td>0.971917</td>\n","      <td>163.80</td>\n","      <td>121.19</td>\n","      <td>0.267651</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-38.444883</td>\n","      <td>5.070161</td>\n","      <td>21.438464</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-19 00:00:00+00:00</th>\n","      <td>159.20</td>\n","      <td>172.37</td>\n","      <td>156.21</td>\n","      <td>3.617010e+09</td>\n","      <td>0.062814</td>\n","      <td>0.062814</td>\n","      <td>0.044840</td>\n","      <td>1.553527</td>\n","      <td>0</td>\n","      <td>159.20</td>\n","      <td>...</td>\n","      <td>0.981609</td>\n","      <td>172.37</td>\n","      <td>121.19</td>\n","      <td>0.302482</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-34.578355</td>\n","      <td>5.131081</td>\n","      <td>22.008914</td>\n","    </tr>\n","    <tr>\n","      <th>2024-07-20 00:00:00+00:00</th>\n","      <td>169.20</td>\n","      <td>175.03</td>\n","      <td>167.34</td>\n","      <td>1.908476e+09</td>\n","      <td>0.026478</td>\n","      <td>0.026478</td>\n","      <td>0.045637</td>\n","      <td>0.778286</td>\n","      <td>0</td>\n","      <td>169.20</td>\n","      <td>...</td>\n","      <td>0.992287</td>\n","      <td>175.03</td>\n","      <td>121.19</td>\n","      <td>0.309995</td>\n","      <td>0</td>\n","      <td>258.63</td>\n","      <td>65</td>\n","      <td>-32.846151</td>\n","      <td>5.157215</td>\n","      <td>21.369571</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button 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ADF Test for Stationarity on 'Close' price\n","# print(\"\\n6.1. ADF Test for Stationarity on original 'Close' price\")\n","\n","# def adf_test(timeseries):\n","#     \"\"\"Perform Augmented Dickey-Fuller test for stationarity\"\"\"\n","#     result = adfuller(timeseries.dropna())\n","#     print(f'ADF Statistic: {result[0]:.4f}')\n","#     print(f'p-value: {result[1]:.4f}')\n","#     print(f'Critical Values:')\n","#     for key, value in result[4].items():\n","#         print(f'\\t{key}: {value:.4f}')\n","#     # Interpret the result\n","#     if result[1] <= 0.05:\n","#         print(\"Result: Stationary (Reject null hypothesis of non-stationarity)\")\n","#     else:\n","#         print(\"Result: Non-stationary (Fail to reject null hypothesis of non-stationarity)\")\n","#     return result[1] <= 0.05  # Returns True if stationary\n","\n","# # Test original Close price\n","# is_close_stationary = adf_test(df_treated_c)"],"metadata":{"id":"QW1Gj0dJwF_3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.2. KPSS Test for Stationarity (complementary test)\n","# print(\"\\n8.2. KPSS Test for Stationarity on original 'Close' price\")\n","\n","# def kpss_test(timeseries):\n","#     \"\"\"Perform KPSS test for stationarity\"\"\"\n","#     result = kpss(timeseries.dropna(), regression='c')\n","#     print(f'KPSS Statistic: {result[0]:.4f}')\n","#     print(f'p-value: {result[1]:.4f}')\n","#     print(f'Critical Values:')\n","#     for key, value in result[3].items():\n","#         print(f'\\t{key}: {value:.4f}')\n","#     # Interpret the result\n","#     if result[1] <= 0.05:\n","#         print(\"Result: Non-stationary (Reject null hypothesis of stationarity)\")\n","#     else:\n","#         print(\"Result: Stationary (Fail to reject null hypothesis of stationarity)\")\n","#     return result[1] > 0.05  # Returns True if stationary\n","\n","# # Test original Close price with KPSS\n","# is_close_stationary_kpss = kpss_test(df_treated_c)"],"metadata":{"id":"s58ktt37wJNH"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.3. Visualize the original time series\n","# plt.figure(figsize=(14, 7))\n","# plt.subplot(211)\n","# plt.plot(df_treated_c)\n","# plt.title('Original Solana Close Price')\n","# plt.grid(True)"],"metadata":{"id":"JNKvYLPbwNR3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.4. Apply differencing if needed\n","# print(\"\\n8.4. Applying differencing to achieve stationarity\")\n","\n","# # First differencing\n","# df['Close_diff1'] = df['Close'].diff().dropna()\n","\n","# # Test first difference\n","# print(\"\\nADF Test for first difference:\")\n","# is_diff1_stationary = adf_test(df['Close_diff1'].dropna())\n","\n","# # Second differencing if needed\n","# if not is_diff1_stationary:\n","#     df['Close_diff2'] = df['Close_diff1'].diff().dropna()\n","#     print(\"\\nADF Test for second difference:\")\n","#     is_diff2_stationary = adf_test(df['Close_diff2'].dropna())\n","\n","# # Visualize differenced series\n","# plt.subplot(212)\n","# plt.plot(df['Close_diff1'])\n","# plt.title('First Difference of Solana Close Price')\n","# plt.grid(True)\n","# plt.tight_layout()\n","# plt.show()"],"metadata":{"id":"GISEl6X_wUH3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.5. Log transformation (often useful for financial data)\n","# print(\"\\n8.5. Applying log transformation\")\n","\n","# # Add small constant to handle zeros if present\n","# min_close = df['Close'].min()\n","# constant = 0.01 if min_close <= 0 else 0\n","\n","# # Apply log transformation\n","# df['Close_log'] = np.log(df['Close'] + constant)\n","\n","# # Test log-transformed series\n","# print(\"\\nADF Test for log-transformed Close price:\")\n","# is_log_stationary = adf_test(df['Close_log'].dropna())\n","\n","# # Visualize log-transformed series\n","# plt.figure(figsize=(14, 7))\n","# plt.subplot(211)\n","# plt.plot(df['Close_log'])\n","# plt.title('Log-transformed Solana Close Price')\n","# plt.grid(True)"],"metadata":{"id":"YN21JHJ5wV5H"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.6. Differencing log-transformed series if needed\n","# if not is_log_stationary:\n","#     df['Close_log_diff1'] = df['Close_log'].diff().dropna()\n","#     print(\"\\nADF Test for first difference of log-transformed Close price:\")\n","#     is_log_diff1_stationary = adf_test(df['Close_log_diff1'].dropna())\n","\n","#     # Visualize differenced log-transformed series\n","#     plt.subplot(212)\n","#     plt.plot(df['Close_log_diff1'])\n","#     plt.title('First Difference of Log-transformed Solana Close Price')\n","#     plt.grid(True)\n","\n","# plt.tight_layout()\n","# plt.show()"],"metadata":{"id":"zgGv5JArwXm_"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.7. Seasonal differencing if needed (uncommon for daily crypto data)\n","# print(\"\\n8.7. Checking for seasonality and seasonal differencing\")\n","# print(\"Note: Daily cryptocurrency data typically doesn't exhibit strong seasonality\")\n","# print(\"but weekly patterns are sometimes observed.\")\n","\n","# # Weekly seasonal differencing example (if weekly patterns exist)\n","# df['Close_seasonal_diff7'] = df['Close'].diff(7).dropna()\n","\n","# # Test weekly differenced series\n","# print(\"\\nADF Test for weekly differenced Close price:\")\n","# is_seasonal_diff_stationary = adf_test(df['Close_seasonal_diff7'].dropna())"],"metadata":{"id":"FLg2AvGq9GBG"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 8.8. Select the most appropriate transformation based on tests\n","# print(\"\\n8.8. Selecting the most appropriate transformation\")\n","\n","# # Choose the most stationary transformation\n","# transformations = {\n","#     'Original': is_close_stationary,\n","#     'First Difference': is_diff1_stationary if 'Close_diff1' in df.columns else False,\n","#     'Second Difference': is_diff2_stationary if 'Close_diff2' in df.columns else False,\n","#     'Log Transform': is_log_stationary,\n","#     'Log + First Difference': is_log_diff1_stationary if 'Close_log_diff1' in df.columns else False,\n","#     'Seasonal Difference': is_seasonal_diff_stationary\n","# }\n","\n","# # Find which transformations achieved stationarity\n","# stationary_transformations = [k for k, v in transformations.items() if v]\n","\n","# print(\"Transformations that achieved stationarity:\")\n","# for t in stationary_transformations:\n","#     print(f\"- {t}\")"],"metadata":{"id":"qQmOC0Uq9Hg9"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # Recommend the simplest transformation that achieved stationarity\n","# if stationary_transformations:\n","#     # Prioritize simpler transformations\n","#     priority_order = ['Original', 'Log Transform', 'First Difference', 'Seasonal Difference',\n","#                      'Log + First Difference', 'Second Difference']\n","\n","#     for p in priority_order:\n","#         if p in stationary_transformations:\n","#             recommended = p\n","#             break\n","#     else:\n","#         recommended = stationary_transformations[0]  # default to first if none in priority list\n","\n","#     print(f\"\\nRecommended transformation: {recommended}\")\n","\n","#     # Map the transformation to the column name\n","#     transformation_columns = {\n","#         'Original': 'Close',\n","#         'First Difference': 'Close_diff1',\n","#         'Second Difference': 'Close_diff2',\n","#         'Log Transform': 'Close_log',\n","#         'Log + First Difference': 'Close_log_diff1',\n","#         'Seasonal Difference': 'Close_seasonal_diff7'\n","#     }\n","\n","#     selected_target = transformation_columns[recommended]\n","#     print(f\"Selected target column for modeling: {selected_target}\")\n","# else:\n","#     print(\"\\nWarning: No transformation achieved stationarity according to both tests.\")\n","#     print(\"Proceeding with first differencing as a default transformation.\")\n","#     selected_target = 'Close_diff1'\n","\n","# # Store the selected target column for later use\n","# df['selected_target'] = df[selected_target]\n"],"metadata":{"id":"mesz56tA9JKP"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# **----------------------------------------------SKIPPING-------------------------------------**\n","\n","---\n","\n"],"metadata":{"id":"3TJfcqaV05Aw"}},{"cell_type":"code","source":["df_treated.head()"],"metadata":{"id":"d_sD_XsSwcMv","colab":{"base_uri":"https://localhost:8080/","height":373},"executionInfo":{"status":"ok","timestamp":1745470949320,"user_tz":-330,"elapsed":47,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"96e8c4d8-aeba-42ac-9e9a-ead11d7b990e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            Open   High    Low       Volume   Returns  \\\n","date                                                                    \n","2021-07-19 00:00:00+00:00  26.67  26.70  24.01  361915410.0 -0.081365   \n","2021-07-20 00:00:00+00:00  24.50  24.98  22.12  413439963.0 -0.042449   \n","2021-07-21 00:00:00+00:00  23.46  27.45  22.83  555770206.0  0.135124   \n","2021-07-22 00:00:00+00:00  26.63  28.18  25.94  364666998.0  0.040556   \n","2021-07-23 00:00:00+00:00  27.71  28.70  26.41  407955237.0  0.028870   \n","\n","                           Returns_Abs  Volatility_14d  Volume_Ratio  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00     0.081365        0.057010      1.020097   \n","2021-07-20 00:00:00+00:00     0.042449        0.059341      1.183664   \n","2021-07-21 00:00:00+00:00     0.135124        0.057102      1.627863   \n","2021-07-22 00:00:00+00:00     0.040556        0.066915      1.055579   \n","2021-07-23 00:00:00+00:00     0.028870        0.064858      1.193953   \n","\n","                           Extreme_Move  Close_Lag_1  ...  \\\n","date                                                  ...   \n","2021-07-19 00:00:00+00:00             0        26.67  ...   \n","2021-07-20 00:00:00+00:00             0        24.50  ...   \n","2021-07-21 00:00:00+00:00             0        23.46  ...   \n","2021-07-22 00:00:00+00:00             1        26.63  ...   \n","2021-07-23 00:00:00+00:00             0        27.71  ...   \n","\n","                           Price_to_Resistance_Ratio  20d_High  20d_Low  \\\n","date                                                                      \n","2021-07-19 00:00:00+00:00                   0.643045      38.1    24.01   \n","2021-07-20 00:00:00+00:00                   0.615748      38.1    22.12   \n","2021-07-21 00:00:00+00:00                   0.698950      38.1    22.12   \n","2021-07-22 00:00:00+00:00                   0.727297      38.1    22.12   \n","2021-07-23 00:00:00+00:00                   0.748294      38.1    22.12   \n","\n","                           Price_Range_Width  In_Range_Market    ATH  \\\n","date                                                                   \n","2021-07-19 00:00:00+00:00           0.575102                0  55.98   \n","2021-07-20 00:00:00+00:00           0.681159                0  55.98   \n","2021-07-21 00:00:00+00:00           0.600075                0  55.98   \n","2021-07-22 00:00:00+00:00           0.576687                0  55.98   \n","2021-07-23 00:00:00+00:00           0.560505                0  55.98   \n","\n","                           Days_Since_ATH  ATH_Drawdown  Log_Close  Log_Volume  \n","date                                                                            \n","2021-07-19 00:00:00+00:00              43    -56.234369   3.198673   19.706921  \n","2021-07-20 00:00:00+00:00              43    -58.092176   3.155297   19.840023  \n","2021-07-21 00:00:00+00:00              43    -52.429439   3.282038   20.135865  \n","2021-07-22 00:00:00+00:00              43    -50.500179   3.321793   19.714495  \n","2021-07-23 00:00:00+00:00              43    -49.071097   3.350255   19.826668  \n","\n","[5 rows x 98 columns]"],"text/html":["\n","  <div id=\"df-ed7ff50b-8fa8-4bb1-a648-5a888fb36f46\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Open</th>\n","      <th>High</th>\n","      <th>Low</th>\n","      <th>Volume</th>\n","      <th>Returns</th>\n","      <th>Returns_Abs</th>\n","      <th>Volatility_14d</th>\n","      <th>Volume_Ratio</th>\n","      <th>Extreme_Move</th>\n","      <th>Close_Lag_1</th>\n","      <th>...</th>\n","      <th>Price_to_Resistance_Ratio</th>\n","      <th>20d_High</th>\n","      <th>20d_Low</th>\n","      <th>Price_Range_Width</th>\n","      <th>In_Range_Market</th>\n","      <th>ATH</th>\n","      <th>Days_Since_ATH</th>\n","      <th>ATH_Drawdown</th>\n","      <th>Log_Close</th>\n","      <th>Log_Volume</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2021-07-19 00:00:00+00:00</th>\n","      <td>26.67</td>\n","      <td>26.70</td>\n","      <td>24.01</td>\n","      <td>361915410.0</td>\n","      <td>-0.081365</td>\n","      <td>0.081365</td>\n","      <td>0.057010</td>\n","      <td>1.020097</td>\n","      <td>0</td>\n","      <td>26.67</td>\n","      <td>...</td>\n","      <td>0.643045</td>\n","      <td>38.1</td>\n","      <td>24.01</td>\n","      <td>0.575102</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-56.234369</td>\n","      <td>3.198673</td>\n","      <td>19.706921</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-20 00:00:00+00:00</th>\n","      <td>24.50</td>\n","      <td>24.98</td>\n","      <td>22.12</td>\n","      <td>413439963.0</td>\n","      <td>-0.042449</td>\n","      <td>0.042449</td>\n","      <td>0.059341</td>\n","      <td>1.183664</td>\n","      <td>0</td>\n","      <td>24.50</td>\n","      <td>...</td>\n","      <td>0.615748</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.681159</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-58.092176</td>\n","      <td>3.155297</td>\n","      <td>19.840023</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-21 00:00:00+00:00</th>\n","      <td>23.46</td>\n","      <td>27.45</td>\n","      <td>22.83</td>\n","      <td>555770206.0</td>\n","      <td>0.135124</td>\n","      <td>0.135124</td>\n","      <td>0.057102</td>\n","      <td>1.627863</td>\n","      <td>0</td>\n","      <td>23.46</td>\n","      <td>...</td>\n","      <td>0.698950</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.600075</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-52.429439</td>\n","      <td>3.282038</td>\n","      <td>20.135865</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-22 00:00:00+00:00</th>\n","      <td>26.63</td>\n","      <td>28.18</td>\n","      <td>25.94</td>\n","      <td>364666998.0</td>\n","      <td>0.040556</td>\n","      <td>0.040556</td>\n","      <td>0.066915</td>\n","      <td>1.055579</td>\n","      <td>1</td>\n","      <td>26.63</td>\n","      <td>...</td>\n","      <td>0.727297</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.576687</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-50.500179</td>\n","      <td>3.321793</td>\n","      <td>19.714495</td>\n","    </tr>\n","    <tr>\n","      <th>2021-07-23 00:00:00+00:00</th>\n","      <td>27.71</td>\n","      <td>28.70</td>\n","      <td>26.41</td>\n","      <td>407955237.0</td>\n","      <td>0.028870</td>\n","      <td>0.028870</td>\n","      <td>0.064858</td>\n","      <td>1.193953</td>\n","      <td>0</td>\n","      <td>27.71</td>\n","      <td>...</td>\n","      <td>0.748294</td>\n","      <td>38.1</td>\n","      <td>22.12</td>\n","      <td>0.560505</td>\n","      <td>0</td>\n","      <td>55.98</td>\n","      <td>43</td>\n","      <td>-49.071097</td>\n","      <td>3.350255</td>\n","      <td>19.826668</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 98 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ed7ff50b-8fa8-4bb1-a648-5a888fb36f46')\"\n","            title=\"Convert this dataframe to an interactive 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First, let's separate our target variable and features\n","# # Assuming our target is the 'Close' price\n","# target_column = 'Close'\n","# features = df.drop(columns=[target_column])\n"],"metadata":{"id":"9NtRKq-RwoPX"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 7.3. Check for columns that might cause issues during scaling\n","# # Identify constant features (zero variance)\n","# constant_features = [col for col in features.columns if features[col].std() == 0]\n","# if constant_features:\n","#     print(f\"Found {len(constant_features)} constant features (zero variance). These will be removed:\")\n","#     print(constant_features[:5], \"...\" if len(constant_features) > 5 else \"\")\n","\n","#     # Remove constant features\n","#     X_train = X_train.drop(columns=constant_features)\n","#     X_valid = X_valid.drop(columns=constant_features)\n","#     print(f\"Shapes after removing constant features - Train: {X_train.shape}, Valid: {X_valid.shape}\")\n"],"metadata":{"id":"EXkhYc9owvHw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 7.4. Standard Scaling (Z-score normalization)\n","# print(\"\\n7.4. Applying Standard Scaling (Z-score normalization)\")\n","\n","# # Initialize and fit scaler\n","# std_scaler = StandardScaler()\n","# X_train_std = pd.DataFrame(\n","#     std_scaler.fit_transform(df_treated),\n","#     columns=df_treated.columns,\n","#     index=X_train.index\n","# )\n","# X_valid_std = pd.DataFrame(\n","#     std_scaler.transform(X_valid),\n","#     columns=X_valid.columns,\n","#     index=X_valid.index\n","# )\n","\n","# # Check the scaled data\n","# print(\"Standard scaled training data statistics:\")\n","# print(X_train_std.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","# # Visualize a sample of standardized features\n","# plt.figure(figsize=(12, 6))\n","# cols_to_plot = X_train_std.columns[:5]  # Just plot first 5 columns for clarity\n","# sns.boxplot(data=X_train_std[cols_to_plot])\n","# plt.title('Distribution of Standardized Features')\n","# plt.xticks(rotation=90)\n","# plt.tight_layout()\n","# plt.show()"],"metadata":{"id":"hwXqHwfkwwdx","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 7.5. Min-Max Scaling\n","# print(\"\\n7.5. Applying Min-Max Scaling\")\n","\n","# # Initialize and fit scaler\n","# minmax_scaler = MinMaxScaler()\n","# X_train_minmax = pd.DataFrame(\n","#     minmax_scaler.fit_transform(X_train),\n","#     columns=X_train.columns,\n","#     index=X_train.index\n","# )\n","# X_valid_minmax = pd.DataFrame(\n","#     minmax_scaler.transform(X_valid),\n","#     columns=X_valid.columns,\n","#     index=X_valid.index\n","# )\n","\n","# # Check the scaled data\n","# print(\"Min-max scaled training data statistics:\")\n","# print(X_train_minmax.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","# # Visualize a sample of min-max scaled features\n","# plt.figure(figsize=(12, 6))\n","# sns.boxplot(data=X_train_minmax[cols_to_plot])\n","# plt.title('Distribution of Min-Max Scaled Features')\n","# plt.xticks(rotation=90)\n","# plt.tight_layout()\n","# plt.show()\n"],"metadata":{"id":"qhE3D-5swyFX"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 7.6. Robust Scaling (for outlier-sensitive data)\n","print(\"\\n7.6. Applying Robust Scaling\")\n","\n","# Initialize and fit scaler\n","robust_scaler = RobustScaler()\n","X_train_robust = pd.DataFrame(\n","    robust_scaler.fit_transform(df_treated),\n","    columns=df_treated.columns,\n","    index=df_treated.index\n",")\n","\n","joblib.dump(robust_scaler, 'robust_scaler_features.pkl')\n","\n","X_valid_robust = pd.DataFrame(\n","    robust_scaler.transform(X_valid),\n","    columns=X_valid.columns,\n","    index=X_valid.index\n",")\n","\n","\n","# Check the scaled data\n","print(\"Robust scaled training data statistics:\")\n","print(X_train_robust.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","cols_to_plot = X_train_robust.columns[:5]\n","\n","# Visualize a sample of robust scaled features\n","plt.figure(figsize=(12, 6))\n","sns.boxplot(data=X_train_robust[cols_to_plot])\n","plt.title('Distribution of Robust Scaled Features')\n","plt.xticks(rotation=90)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"LH50uZ_Cwznv","colab":{"base_uri":"https://localhost:8080/","height":605},"executionInfo":{"status":"ok","timestamp":1745470984259,"user_tz":-330,"elapsed":456,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ebe056fa-9078-44ab-ccf2-8c66fa1d7c03"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.6. Applying Robust Scaling\n","Robust scaled training data statistics:\n","             mean       std       min       max\n","Open     0.304657  0.562906 -0.318044  1.453763\n","High     0.299994  0.556357 -0.315672  1.455516\n","Low      0.309063  0.572965 -0.337802  1.480162\n","Volume   0.183404  0.701491 -0.636862  2.061057\n","Returns  0.063624  0.928162 -6.701980  5.335470\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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Create scaler for target\n","target_scaler = RobustScaler()\n","\n","# Fit on y_train and transform both y_train and y_valid\n","y_train_robust = pd.Series(\n","    target_scaler.fit_transform(df_treated_c.values.reshape(-1, 1)).flatten(),\n","    index=df_treated_c.index,\n","    name='Close'\n",")\n","\n","joblib.dump(target_scaler, 'target_scaler_close.pkl')\n","\n","y_valid_robust = pd.Series(\n","    target_scaler.transform(y_valid.values.reshape(-1, 1)).flatten(),\n","    index=y_valid.index,\n","    name='Close'\n",")\n","\n","# Check the scaled data\n","print(\"Robust scaled training data statistics:\")\n","print(y_train_robust.describe().T[['mean', 'std', 'min', 'max']].head())\n","\n","plt.figure(figsize=(12, 6))\n","sns.boxplot(data=y_valid_robust)\n","plt.title('Distribution of Robust Scaled Features')\n","plt.xticks(rotation=90)\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":553},"id":"qHlnRUUd4Ibr","executionInfo":{"status":"ok","timestamp":1745471038116,"user_tz":-330,"elapsed":204,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"ce446b1c-7f34-4561-ac2b-1cbd42fcf2fe"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Robust scaled training data statistics:\n","mean    0.303223\n","std     0.560433\n","min    -0.317198\n","max     1.451435\n","Name: Close, dtype: float64\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# # 7.7. Compare scaling methods for a sample feature\n","# print(\"\\n7.7. Comparing Scaling Methods\")\n","\n","# # Choose a feature with some outliers (e.g., Volume or a momentum feature)\n","# # For demonstration, let's take 'Volume' or a derived feature\n","# sample_feature = 'Volume' if 'Volume' in X_train.columns else X_train.columns[0]\n","\n","# plt.figure(figsize=(15, 10))\n","\n","# # Original data\n","# plt.subplot(2, 2, 1)\n","# plt.hist(X_train[sample_feature], bins=50)\n","# plt.title(f'Original {sample_feature}')\n","\n","# # Standard scaled\n","# plt.subplot(2, 2, 2)\n","# plt.hist(X_train_std[sample_feature], bins=50)\n","# plt.title(f'Standard Scaled {sample_feature}')\n","\n","# # Min-max scaled\n","# plt.subplot(2, 2, 3)\n","# plt.hist(X_train_minmax[sample_feature], bins=50)\n","# plt.title(f'Min-Max Scaled {sample_feature}')\n","\n","# # Robust scaled\n","# plt.subplot(2, 2, 4)\n","# plt.hist(X_train_robust[sample_feature], bins=50)\n","# plt.title(f'Robust Scaled {sample_feature}')\n","\n","# plt.tight_layout()\n","# plt.show()"],"metadata":{"id":"briXEiuew16Y"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 7.8. Check for potential issues after scaling\n","print(\"\\n7.8. Checking for issues after scaling\")\n","\n","# Check for NaNs in scaled data\n","# print(\"NaN values after Standard scaling:\", X_train_std.isna().sum().sum())\n","# print(\"NaN values after Min-Max scaling:\", X_train_minmax.isna().sum().sum())\n","print(\"NaN values after Robust scaling in X_train:\", X_train_robust.isna().sum().sum())\n","print(\"NaN values after Robust scaling in y_train:\", y_train_robust.isna().sum().sum())\n","print(\"NaN values after Robust scaling in X_valid:\", X_valid_robust.isna().sum().sum())\n","print(\"NaN values after Robust scaling in y_valid:\", y_valid_robust.isna().sum().sum())\n","\n","\n","\n","# Check for infinity values\n","# print(\"Infinity values after Standard scaling:\", np.isinf(X_train_std).sum().sum())\n","# print(\"Infinity values after Min-Max scaling:\", np.isinf(X_train_minmax).sum().sum())\n","print(\"Infinity values after Robust scaling in X_train:\", np.isinf(X_train_robust).sum().sum())\n","print(\"Infinity values after Robust scaling in y_train:\", np.isinf(y_train_robust).sum().sum())\n","print(\"Infinity values after Robust scaling in X_valid:\", np.isinf(X_valid_robust).sum().sum())\n","print(\"Infinity values after Robust scaling in y_valid:\", np.isinf(y_valid_robust).sum().sum())"],"metadata":{"id":"uig-4pLrw4LC","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471043547,"user_tz":-330,"elapsed":52,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"71c27672-89ea-4416-f6b3-e2712363240c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.8. Checking for issues after scaling\n","NaN values after Robust scaling in X_train: 0\n","NaN values after Robust scaling in y_train: 0\n","NaN values after Robust scaling in X_valid: 0\n","NaN values after Robust scaling in y_valid: 0\n","Infinity values after Robust scaling in X_train: 0\n","Infinity values after Robust scaling in y_train: 0\n","Infinity values after Robust scaling in X_valid: 0\n","Infinity values after Robust scaling in y_valid: 0\n"]}]},{"cell_type":"code","source":["# 7.9. Decide which scaling method to use based on the results\n","print(\"\\n7.9. Scaling Method Recommendation\")\n","\n","# For cryptocurrency data with potential outliers, robust scaling is often preferable\n","print(\"Based on the visualization and feature characteristics:\")\n","print(\"1. For features with normal distribution: Standard Scaling is appropriate\")\n","print(\"2. For features with outliers: Robust Scaling is recommended\")\n","print(\"3. For features that should be bounded between 0-1: Min-Max Scaling works best\")\n","\n","# For our crypto time series, a recommendation:\n","print(\"\\nRECOMMENDATION:\")\n","print(\"Since cryptocurrency data often contains outliers and extreme price movements,\")\n","print(\"Robust Scaling is generally recommended as the primary scaling method.\")\n","print(\"However, for certain models like neural networks that prefer inputs in [0,1],\")\n","print(\"Min-Max scaling might be preferred.\")"],"metadata":{"id":"MLWhptP6w6lv","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471046094,"user_tz":-330,"elapsed":15,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"872cedc6-c905-47ec-a7a4-432c29340c8e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.9. Scaling Method Recommendation\n","Based on the visualization and feature characteristics:\n","1. For features with normal distribution: Standard Scaling is appropriate\n","2. For features with outliers: Robust Scaling is recommended\n","3. For features that should be bounded between 0-1: Min-Max Scaling works best\n","\n","RECOMMENDATION:\n","Since cryptocurrency data often contains outliers and extreme price movements,\n","Robust Scaling is generally recommended as the primary scaling method.\n","However, for certain models like neural networks that prefer inputs in [0,1],\n","Min-Max scaling might be preferred.\n"]}]},{"cell_type":"code","source":["# 7.10. Store the selected scaling method and scaled datasets for the next step\n","print(\"\\n7.10. Saving the scaled datasets\")\n","\n","# For this example, we'll proceed with Robust Scaling as our primary method\n","X_train_scaled = X_train_robust.copy()\n","X_valid_scaled = X_valid_robust.copy()\n","y_train_scaled = y_train_robust.copy()\n","y_valid_scaled = y_valid_robust.copy()\n","\n","# Store the scaler for future use (e.g., with test data or when making predictions)\n","# selected_scaler = robust_scaler\n","\n","print(f\"Selected scaling method: Robust Scaling\")\n","print(f\"Final training set shape: {X_train_scaled.shape}\")\n","print(f\"Final validation set shape: {X_valid_scaled.shape}\")\n","print(f\"Final training target shape: {y_train_scaled.shape}\")\n","print(f\"Final validation target shape: {y_valid_scaled.shape}\")\n"],"metadata":{"id":"VZJY602Vw85Z","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471137057,"user_tz":-330,"elapsed":12,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"410956ec-4ceb-4eec-964e-ceeae6043368"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","7.10. Saving the scaled datasets\n","Selected scaling method: Robust Scaling\n","Final training set shape: (1093, 98)\n","Final validation set shape: (274, 98)\n","Final training target shape: (1093,)\n","Final validation target shape: (274,)\n"]}]},{"cell_type":"code","source":["X_train_scaled.to_csv('/content/drive/MyDrive/Crypto-data-v3/step7_X_train_scaled.csv', index=True, index_label='date')\n","print(\"\\nScaled X_train dataset saved as 'step7_X_train_scaled.csv'\")\n","X_valid_scaled.to_csv('/content/drive/MyDrive/Crypto-data-v3/step7_X_valid_scaled.csv', index=True, index_label='date')\n","print(\"\\nScaled X_valid dataset saved as 'step7_X_valid_scaled.csv'\")\n","y_train_scaled.to_csv('/content/drive/MyDrive/Crypto-data-v3/step7_y_train_scaled.csv', index=True, index_label='date')\n","print(\"\\nScaled y_train dataset saved as 'step7_y_train_scaled.csv'\")\n","y_valid_scaled.to_csv('/content/drive/MyDrive/Crypto-data-v3/step7_y_valid_scaled.csv', index=True, index_label='date')\n","print(\"\\nScaled y_valid dataset saved as 'step7_y_valid_scaled.csv'\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HGnlJyy4EmrP","executionInfo":{"status":"ok","timestamp":1745471166024,"user_tz":-330,"elapsed":1342,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"3978245e-9484-4e8e-9f4e-6a19e4af0833"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Scaled X_train dataset saved as 'step7_X_train_scaled.csv'\n","\n","Scaled X_valid dataset saved as 'step7_X_valid_scaled.csv'\n","\n","Scaled y_train dataset saved as 'step7_y_train_scaled.csv'\n","\n","Scaled y_valid dataset saved as 'step7_y_valid_scaled.csv'\n"]}]},{"cell_type":"markdown","source":["# **Feature Selection**"],"metadata":{"id":"qUDwNPYfRaVb"}},{"cell_type":"code","source":["from statsmodels.tsa.stattools import adfuller, kpss, acf, pacf\n","from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n","from statsmodels.tsa.seasonal import seasonal_decompose\n","from sklearn.feature_selection import SelectKBest, f_regression, mutual_info_regression\n","from sklearn.decomposition import PCA"],"metadata":{"id":"yni6AZsgpIyi"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# # 10.2. Filter-based feature selection (correlation)\n","# print(\"\\n10.2. Filter-based feature selection (correlation)\")\n","\n","# # Calculate correlation with target\n","# correlation_with_target = X.corrwith(y).abs().sort_values(ascending=False)\n","\n","# # Display top correlated features\n","# print(\"Top 20 features by correlation with target:\")\n","# print(correlation_with_target.head(20))\n","\n","# # Create a correlation threshold\n","# correlation_threshold = 0.3\n","# high_corr_features = correlation_with_target[correlation_with_target > correlation_threshold].index.tolist()\n","# print(f\"\\nFeatures with correlation > {correlation_threshold}: {len(high_corr_features)}\")\n","# print(f\"Sample high correlation features: {high_corr_features[:5]}{'...' if len(high_corr_features) > 5 else ''}\")\n","\n","\n","\n","# 10.2. Filter-based feature selection (correlation)\n","print(\"\\n10.2. Filter-based feature selection (correlation)\")\n","\n","# Calculate correlation on X_train vs y_train (scaled)\n","correlation_with_target = X_train_scaled.corrwith(y_train_scaled.squeeze()).abs().sort_values(ascending=False)\n","\n","# Show top correlated features\n","print(\"Top 20 features by correlation with target:\")\n","print(correlation_with_target.head(20))\n","\n","# Set a balanced threshold\n","correlation_threshold = 0.3\n","high_corr_features = correlation_with_target[correlation_with_target > correlation_threshold].index.tolist()\n","low_corr_features = correlation_with_target[correlation_with_target <= correlation_threshold]\n","\n","print(f\"\\nFeatures with correlation > {correlation_threshold}: {len(high_corr_features)}\")\n","print(f\"Sample high correlation features: {high_corr_features[:5]}{'...' if len(high_corr_features) > 5 else ''}\")\n","\n","\n","# Passed features\n","print(f\"\\n✅ Features with correlation > {correlation_threshold} ({len(high_corr_features)} total):\")\n","for feature in high_corr_features:\n","    print(f\"{feature}\")\n","\n","# Failed features\n","print(f\"\\n❌ Features with correlation <= {correlation_threshold} ({len(low_corr_features)} total):\")\n","for feature in low_corr_features.items():\n","    print(f\"{feature}\")\n"],"metadata":{"id":"CcD8hJuZRpaj","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471241870,"user_tz":-330,"elapsed":77,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"5916424d-e3dc-44a8-bb3c-01c9a63dd964"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.2. Filter-based feature selection (correlation)\n","Top 20 features by correlation with target:\n","High                0.998727\n","Low                 0.998039\n","Open                0.996859\n","EMA_5               0.994471\n","Close_Lag_1         0.993548\n","SMA_5               0.993182\n","Close_Lag_2         0.990301\n","EMA_10              0.990183\n","Close_Lag_3         0.987281\n","SMA_10              0.987098\n","EMA_20              0.980298\n","Close_Lag_5         0.979347\n","Resistance_Level    0.979274\n","20d_High            0.979274\n","BB_Upper_20         0.975975\n","SMA_20              0.973956\n","BB_Middle_20        0.973956\n","Close_Lag_7         0.971513\n","Log_Close           0.959737\n","Support_Level       0.959423\n","dtype: float64\n","\n","Features with correlation > 0.3: 51\n","Sample high correlation features: ['High', 'Low', 'Open', 'EMA_5', 'Close_Lag_1']...\n","\n","✅ Features with correlation > 0.3 (51 total):\n","High\n","Low\n","Open\n","EMA_5\n","Close_Lag_1\n","SMA_5\n","Close_Lag_2\n","EMA_10\n","Close_Lag_3\n","SMA_10\n","EMA_20\n","Close_Lag_5\n","Resistance_Level\n","20d_High\n","BB_Upper_20\n","SMA_20\n","BB_Middle_20\n","Close_Lag_7\n","Log_Close\n","Support_Level\n","20d_Low\n","EMA_50\n","Close_Lag_14\n","BB_Lower_20\n","SMA_50\n","Close_Lag_21\n","ATR_14\n","ATH_Drawdown\n","Volume_SMA_100\n","Volume_SMA_50\n","EMA_100\n","SMA_100\n","Volume_SMA_20\n","Volume_SMA_10\n","Log_Volume\n","Volume_SMA_5\n","EMA_200\n","Volume\n","Volume_SMA_200\n","Volume_Lag_2\n","Volume_Lag_3\n","Volume_Lag_1\n","Volume_Lag_5\n","Volume_Lag_7\n","Volume_Lag_14\n","Volume_Lag_21\n","SMA_200\n","SMA_50_Above_SMA_200\n","Price_Above_SMA_200\n","MACD_Signal\n","MACD_Line\n","\n","❌ Features with correlation <= 0.3 (47 total):\n","('Price_Volume_SMA10_Ratio', 0.22673908026511236)\n","('Price_Above_SMA_50', 0.20152529368529257)\n","('Quarter_sin', 0.1885042737475439)\n","('Price_Volume_Ratio', 0.1780389684565151)\n","('Month_sin', 0.1684686940792016)\n","('In_Range_Market', 0.15658556189635722)\n","('ROC_20', 0.155261365903485)\n","('Month_cos', 0.14033884353715995)\n","('Price_to_Support_Ratio', 0.1228525659181645)\n","('RSI_14', 0.11440701656571299)\n","('Williams_%R', 0.10686469334744751)\n","('Price_to_Resistance_Ratio', 0.10202279942929872)\n","('ROC_10', 0.10133180819929262)\n","('RSI_Oversold', 0.09386393166380212)\n","('ROC_5', 0.06705931830191764)\n","('Returns_Lag_21', 0.06047532874433183)\n","('Higher_High', 0.06014082125209436)\n","('ATR_Close_Ratio', 0.059475039960525736)\n","('Days_Since_ATH', 0.05559679149759236)\n","('ATH', 0.05404470727399283)\n","('Price_Range_Width', 0.05320243415696092)\n","('Year', 0.05064869968091739)\n","('MACD_Hist', 0.049851074892522225)\n","('Returns_Lag_14', 0.04921992944483127)\n","('SMA_Golden_Cross', 0.04404605949280624)\n","('Returns_Lag_7', 0.04305960105483792)\n","('Quarter', 0.041140475109298275)\n","('Volatility_14d', 0.039889955359428485)\n","('Returns_Lag_5', 0.03813989499713991)\n","('RSI_Overbought', 0.03534823917259265)\n","('BB_Width_20', 0.034989096597332243)\n","('Returns_Lag_3', 0.03488418388482848)\n","('Lower_Low', 0.03287232175455896)\n","('Quarter_cos', 0.032579108549009764)\n","('Month', 0.032238594831096645)\n","('Returns_Abs', 0.029125718724273598)\n","('Returns', 0.028591560697655727)\n","('Returns_Lag_1', 0.028491054240922013)\n","('Returns_Lag_2', 0.027412654355050043)\n","('Week_of_Year', 0.0254726109080059)\n","('Volume_Ratio', 0.023371274044779136)\n","('SMA_Death_Cross', 0.02327417277267713)\n","('Day_of_Month', 0.020207945680570234)\n","('Extreme_Move', 0.01313558909819572)\n","('Day_of_Week_sin', 0.0044132241789739445)\n","('Day_of_Week', 0.004038354938297785)\n","('Day_of_Week_cos', 0.002067932347721482)\n"]}]},{"cell_type":"code","source":["# # 10.3. Mutual Information for non-linear relationships\n","# print(\"\\n10.3. Mutual Information for non-linear relationships\")\n","\n","# # Calculate mutual information scores (handle possible errors)\n","# try:\n","#     X_scaled = StandardScaler().fit_transform(X)\n","#     mi_scores = mutual_info_regression(X_scaled, y)\n","#     mi_scores = pd.Series(mi_scores, index=X.columns)\n","#     mi_scores = mi_scores.sort_values(ascending=False)\n","\n","#     # Display top features by mutual information\n","#     print(\"Top 20 features by mutual information:\")\n","#     print(mi_scores.head(20))\n","\n","#     # Select top features by mutual information\n","#     mi_threshold = np.percentile(mi_scores, 70)  # Top 30% of features\n","#     high_mi_features = mi_scores[mi_scores > mi_threshold].index.tolist()\n","#     print(f\"\\nTop 30% features by mutual information: {len(high_mi_features)}\")\n","#     print(f\"Sample high MI features: {high_mi_features[:5]}{'...' if len(high_mi_features) > 5 else ''}\")\n","# except Exception as e:\n","#     print(f\"Error calculating mutual information: {e}\")\n","#     high_mi_features = []\n","\n","\n","# 10.3. Mutual Information for non-linear relationships\n","print(\"\\n10.3. Mutual Information for non-linear relationships\")\n","\n","# Use already scaled X_train and y_train\n","try:\n","    mi_scores = mutual_info_regression(X_train_scaled, y_train_scaled.squeeze())\n","    mi_scores = pd.Series(mi_scores, index=X_train_scaled.columns).sort_values(ascending=False)\n","\n","    # Display top features by MI\n","    print(\"Top 20 features by mutual information:\")\n","    print(mi_scores.head(20))\n","\n","    # Select top 40% features\n","    mi_threshold = np.percentile(mi_scores, 60)  # Keep top 40%\n","    high_mi_features = mi_scores[mi_scores > mi_threshold].index.tolist()\n","    low_mi_features = mi_scores[mi_scores <= mi_threshold]\n","\n","    print(f\"\\n✅ Top 40% features by mutual information: {len(high_mi_features)}\")\n","    for feature in high_mi_features:\n","        print(f\"{feature}\")\n","\n","    print(f\"\\n❌ Features below 70th percentile threshold ({len(low_mi_features)}):\")\n","    for feature in low_mi_features.items():\n","        print(f\"{feature}\")\n","\n","except Exception as e:\n","    print(f\"Error calculating mutual information: {e}\")\n","    high_mi_features = []"],"metadata":{"id":"VlBDzT24Rrvu","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471298724,"user_tz":-330,"elapsed":1036,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"1a6c74b8-2b9a-4f7d-808d-c929ce3b768c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.3. Mutual Information for non-linear relationships\n","Top 20 features by mutual information:\n","Log_Close           5.013516\n","ATH_Drawdown        4.991578\n","High                3.118186\n","Low                 2.991183\n","EMA_5               2.596238\n","Close_Lag_1         2.533364\n","Open                2.532165\n","SMA_5               2.416745\n","EMA_10              2.197493\n","Close_Lag_2         2.179352\n","Resistance_Level    2.145569\n","20d_High            2.139102\n","SMA_10              2.053674\n","Close_Lag_3         1.996467\n","Support_Level       1.969245\n","20d_Low             1.966540\n","BB_Upper_20         1.949072\n","EMA_20              1.936654\n","BB_Middle_20        1.850798\n","SMA_20              1.850676\n","dtype: float64\n","\n","✅ Top 40% features by mutual information: 39\n","Log_Close\n","ATH_Drawdown\n","High\n","Low\n","EMA_5\n","Close_Lag_1\n","Open\n","SMA_5\n","EMA_10\n","Close_Lag_2\n","Resistance_Level\n","20d_High\n","SMA_10\n","Close_Lag_3\n","Support_Level\n","20d_Low\n","BB_Upper_20\n","EMA_20\n","BB_Middle_20\n","SMA_20\n","Close_Lag_5\n","Close_Lag_7\n","Volume_SMA_100\n","Volume_SMA_200\n","EMA_50\n","BB_Lower_20\n","SMA_200\n","Volume_SMA_50\n","EMA_100\n","SMA_50\n","EMA_200\n","SMA_100\n","Close_Lag_14\n","ATR_14\n","Week_of_Year\n","Close_Lag_21\n","Volume_SMA_20\n","MACD_Signal\n","Volume_SMA_10\n","\n","❌ Features below 70th percentile threshold (59):\n","('MACD_Line', 1.0830196325195485)\n","('Month', 0.9403944824988115)\n","('Volume_SMA_5', 0.9233667935161858)\n","('Year', 0.7332482953183512)\n","('MACD_Hist', 0.6696301196138288)\n","('Price_Range_Width', 0.649343535787636)\n","('Log_Volume', 0.6354002669067076)\n","('Volume', 0.6328740245582556)\n","('Volume_Lag_1', 0.62890597444866)\n","('Volume_Lag_3', 0.6111584306880293)\n","('Volume_Lag_2', 0.6091902966933205)\n","('Volume_Lag_5', 0.6061812210326596)\n","('Volume_Lag_7', 0.6060541531391612)\n","('Month_sin', 0.588107605059224)\n","('Volume_Lag_14', 0.5668289770928157)\n","('Volatility_14d', 0.5566092854485603)\n","('Month_cos', 0.5466760670901483)\n","('Volume_Lag_21', 0.5441519472988445)\n","('Price_Volume_SMA10_Ratio', 0.4731493653822616)\n","('Quarter', 0.43002510458051857)\n","('Price_to_Support_Ratio', 0.419999285955186)\n","('BB_Width_20', 0.41915660158410395)\n","('ROC_20', 0.3966178942772207)\n","('ATR_Close_Ratio', 0.3929489464072917)\n","('Price_to_Resistance_Ratio', 0.35182066876663765)\n","('Price_Above_SMA_200', 0.29751858020751465)\n","('Quarter_sin', 0.2864155295980362)\n","('SMA_50_Above_SMA_200', 0.2751448591122938)\n","('Quarter_cos', 0.2716110485273624)\n","('Price_Above_SMA_50', 0.23605143815466656)\n","('ROC_10', 0.2337599384322413)\n","('RSI_14', 0.20841437840625776)\n","('ATH', 0.1780360883867529)\n","('Days_Since_ATH', 0.1760354894465448)\n","('Price_Volume_Ratio', 0.13283359795551153)\n","('Williams_%R', 0.12831507962031896)\n","('Volume_Ratio', 0.10149304260487657)\n","('RSI_Oversold', 0.0825512614621533)\n","('ROC_5', 0.07542436427856014)\n","('In_Range_Market', 0.07183334035308842)\n","('RSI_Overbought', 0.051287201126312354)\n","('Returns_Lag_21', 0.019577501574009837)\n","('Higher_High', 0.011671969832068418)\n","('Returns_Lag_3', 0.009792570882460438)\n","('Lower_Low', 0.007531637404387892)\n","('Returns_Abs', 0.006209915881955297)\n","('SMA_Death_Cross', 0.004665214408006824)\n","('Extreme_Move', 0.0033111225039068604)\n","('Returns', 0.0)\n","('Returns_Lag_1', 0.0)\n","('Returns_Lag_2', 0.0)\n","('Returns_Lag_14', 0.0)\n","('Returns_Lag_7', 0.0)\n","('Returns_Lag_5', 0.0)\n","('Day_of_Week', 0.0)\n","('Day_of_Month', 0.0)\n","('SMA_Golden_Cross', 0.0)\n","('Day_of_Week_cos', 0.0)\n","('Day_of_Week_sin', 0.0)\n"]}]},{"cell_type":"code","source":["# # 10.4. Combine feature selection methods\n","# print(\"\\n10.4. Combining feature selection methods\")\n","\n","# # Combine high correlation and high mutual information features\n","# if high_mi_features:\n","#     selected_features = list(set(high_corr_features + high_mi_features))\n","# else:\n","#     selected_features = high_corr_features\n","\n","# print(f\"Combined selected features: {len(selected_features)}\")\n","\n","# # If we have too many features, apply SelectKBest\n","# max_features = 100  # Maximum number of features to keep\n","# if len(selected_features) > max_features:\n","#     print(f\"\\nToo many features ({len(selected_features)}). Reducing to {max_features} using SelectKBest\")\n","\n","#     # Apply SelectKBest\n","#     selector = SelectKBest(f_regression, k=max_features)\n","#     X_selected = selector.fit_transform(X[selected_features], y)\n","\n","#     # Get selected feature names\n","#     selected_mask = selector.get_support()\n","#     selected_features = [selected_features[i] for i in range(len(selected_features)) if selected_mask[i]]\n","\n","#     print(f\"Final number of features after SelectKBest: {len(selected_features)}\")\n","\n","\n","# 10.4. Combining feature selection methods\n","print(\"\\n10.4. Combining feature selection methods\")\n","\n","# Combine high correlation and mutual information features\n","if high_mi_features:\n","    selected_features = list(set(high_corr_features + high_mi_features))\n","else:\n","    selected_features = high_corr_features\n","\n","print(f\"Combined selected features: {len(selected_features)}\")\n","\n","# Apply SelectKBest only if feature count is very high\n","max_features = 80  # TFT can handle this much\n","if len(selected_features) > max_features:\n","    print(f\"\\nToo many features ({len(selected_features)}). Reducing to {max_features} using SelectKBest\")\n","\n","    # Optional: You can test with mutual_info_regression instead of f_regression\n","    selector = SelectKBest(score_func=f_regression, k=max_features)\n","    X_K_selected = selector.fit_transform(X_train_scaled[selected_features], y_train_scaled)\n","\n","    # Update selected feature names\n","    selected_mask = selector.get_support()\n","    selected_features = [selected_features[i] for i in range(len(selected_features)) if selected_mask[i]]\n","\n","    print(f\"Final number of features after SelectKBest: {len(selected_features)}\")\n"],"metadata":{"id":"x1CGb2FWRtw1","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1745471337074,"user_tz":-330,"elapsed":12,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"8c462947-fc6a-4f60-f58a-82ebe59b0d3b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.4. Combining feature selection methods\n","Combined selected features: 52\n"]}]},{"cell_type":"code","source":["print(f\"Selected features: {selected_features}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Lu4b8RSOCH8X","executionInfo":{"status":"ok","timestamp":1745471346257,"user_tz":-330,"elapsed":67,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"1a1e2da9-34f7-4740-eef3-fc29d8fba28f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Selected features: ['BB_Middle_20', 'Close_Lag_3', 'Volume_SMA_20', 'EMA_200', 'Volume_Lag_1', 'SMA_50_Above_SMA_200', 'MACD_Line', 'EMA_20', 'Close_Lag_7', 'SMA_50', 'Volume_Lag_5', 'Price_Above_SMA_200', 'Volume_SMA_100', 'Volume_SMA_50', 'Open', 'Volume_Lag_7', 'Volume_SMA_10', 'EMA_100', 'ATH_Drawdown', 'Volume_Lag_21', '20d_High', 'Close_Lag_1', 'Low', 'BB_Upper_20', 'Log_Volume', 'Volume_Lag_14', 'SMA_5', 'Close_Lag_21', 'Volume_Lag_3', 'SMA_20', 'EMA_10', 'Volume_SMA_200', 'Volume_SMA_5', '20d_Low', 'BB_Lower_20', 'Volume', 'ATR_14', 'SMA_200', 'EMA_5', 'Close_Lag_14', 'MACD_Signal', 'SMA_10', 'EMA_50', 'Resistance_Level', 'Close_Lag_2', 'Volume_Lag_2', 'Week_of_Year', 'High', 'SMA_100', 'Log_Close', 'Support_Level', 'Close_Lag_5']\n"]}]},{"cell_type":"code","source":["# 10.5. Feature importance visualization\n","print(\"\\n10.5. Visualizing feature importance\")\n","\n","# # Plot top 20 features by correlation\n","# plt.figure(figsize=(14, 8))\n","# correlation_with_target[selected_features].sort_values(ascending=False).head(20).plot(kind='bar')\n","# plt.title('Top 20 Features by Correlation with Target')\n","# plt.grid(True, axis='y')\n","# plt.tight_layout()\n","# plt.show()\n","\n","\n","# Top 20 by correlation\n","plt.figure(figsize=(14, 6))\n","correlation_with_target[selected_features].sort_values(ascending=False).head(20).plot(kind='bar', color='skyblue')\n","plt.title('Top 20 Features by Correlation with Target')\n","plt.ylabel('Absolute Correlation')\n","plt.grid(True, axis='y')\n","plt.tight_layout()\n","plt.show()\n","\n","# Top 20 by mutual information\n","plt.figure(figsize=(14, 6))\n","mi_scores[selected_features].sort_values(ascending=False).head(20).plot(kind='bar', color='salmon')\n","plt.title('Top 20 Features by Mutual Information with Target')\n","plt.ylabel('Mutual Information Score')\n","plt.grid(True, axis='y')\n","plt.tight_layout()\n","plt.show()\n"],"metadata":{"id":"Sbz8l2rXRvWD","colab":{"base_uri":"https://localhost:8080/","height":791},"executionInfo":{"status":"ok","timestamp":1745471356171,"user_tz":-330,"elapsed":581,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"7cf86f89-c8cd-4ce0-e496-518cbfc15782"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.5. Visualizing feature importance\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x600 with 1 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 10.7. Apply selected features to both train and validation sets\n","\n","print(\"\\n10.7. Applying selected features to train and validation sets\")\n","\n","# Ensure consistent features across datasets\n","X_train_selected = X_train_scaled[selected_features].copy()\n","X_valid_selected = X_valid_scaled[selected_features].copy()\n","\n","print(f\"X_train_selected shape: {X_train_selected.shape}\")\n","print(f\"X_valid_selected shape: {X_valid_selected.shape}\")\n","print(f\"First 5 columns: {X_train_selected.columns[:5]}\")\n","print(f\"First 5 columns: {X_valid_selected.columns[:5]}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-dlrblsM48mw","executionInfo":{"status":"ok","timestamp":1745471502403,"user_tz":-330,"elapsed":16,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"738e63f9-79ce-4942-9d8c-43f7f8dcb6ed"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","10.7. Applying selected features to train and validation sets\n","X_train_selected shape: (1093, 52)\n","X_valid_selected shape: (274, 52)\n","First 5 columns: Index(['BB_Middle_20', 'Close_Lag_3', 'Volume_SMA_20', 'EMA_200',\n","       'Volume_Lag_1'],\n","      dtype='object')\n","First 5 columns: Index(['BB_Middle_20', 'Close_Lag_3', 'Volume_SMA_20', 'EMA_200',\n","       'Volume_Lag_1'],\n","      dtype='object')\n"]}]},{"cell_type":"code","source":["X_train_selected.to_csv('/content/drive/MyDrive/Crypto-data-v3/X_train_selected.csv', index=True, index_label='date')\n","print(\"\\nSelected X_train dataset saved as 'X_train_selected.csv'\")\n","X_valid_selected.to_csv('/content/drive/MyDrive/Crypto-data-v3/X_valid_selected.csv', index=True, index_label='date')\n","print(\"\\nSelected X_valid dataset saved as 'X_valid_selected.csv'\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"b6eX8g-l6bsh","executionInfo":{"status":"ok","timestamp":1745471514840,"user_tz":-330,"elapsed":650,"user":{"displayName":"Nitin Singh","userId":"08363114674619980371"}},"outputId":"d87191fc-f4e4-4e73-a367-2226a0bf6ab6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Selected X_train dataset saved as 'X_train_selected.csv'\n","\n","Selected X_valid dataset saved as 'X_valid_selected.csv'\n"]}]},{"cell_type":"markdown","source":["Currently your main Training datasets are : **X_train_selected, step7_y_train_scaled**\n","\n","Currently your main Testing datasets are : **X_valid_selected, step7_y_valid_scaled**"],"metadata":{"id":"4U_Aea38DTCV"}},{"cell_type":"code","source":[],"metadata":{"id":"Ia2Tk-EFDR6P"},"execution_count":null,"outputs":[]}]}
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