12_1_gluonTS_stocks.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OK-Qe3kwi_7E"
      },
      "source": [
        "# DeepAR\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1W_2VSL10YSC",
        "outputId": "f4a3009f-0eb8-4508-ed55-982d66dcfee4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found existing installation: numpy 1.25.2\n",
            "Uninstalling numpy-1.25.2:\n",
            "  Would remove:\n",
            "    /usr/local/bin/f2py\n",
            "    /usr/local/bin/f2py3\n",
            "    /usr/local/bin/f2py3.10\n",
            "    /usr/local/lib/python3.10/dist-packages/numpy-1.25.2.dist-info/*\n",
            "    /usr/local/lib/python3.10/dist-packages/numpy.libs/libgfortran-040039e1.so.5.0.0\n",
            "    /usr/local/lib/python3.10/dist-packages/numpy.libs/libopenblas64_p-r0-5007b62f.3.23.dev.so\n",
            "    /usr/local/lib/python3.10/dist-packages/numpy.libs/libquadmath-96973f99.so.0.0.0\n",
            "    /usr/local/lib/python3.10/dist-packages/numpy/*\n",
            "Proceed (Y/n)? y\n",
            "  Successfully uninstalled numpy-1.25.2\n",
            "Collecting mxnet-mkl==1.6.0\n",
            "  Downloading mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl (76.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.7/76.7 MB\u001b[0m \u001b[31m11.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting numpy==1.23.1\n",
            "  Downloading numpy-1.23.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.0 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.0/17.0 MB\u001b[0m \u001b[31m74.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: requests<3,>=2.20.0 in /usr/local/lib/python3.10/dist-packages (from mxnet-mkl==1.6.0) (2.31.0)\n",
            "Collecting graphviz<0.9.0,>=0.8.1 (from mxnet-mkl==1.6.0)\n",
            "  Downloading graphviz-0.8.4-py2.py3-none-any.whl (16 kB)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.20.0->mxnet-mkl==1.6.0) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.20.0->mxnet-mkl==1.6.0) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.20.0->mxnet-mkl==1.6.0) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.20.0->mxnet-mkl==1.6.0) (2024.2.2)\n",
            "Installing collected packages: numpy, graphviz, mxnet-mkl\n",
            "  Attempting uninstall: graphviz\n",
            "    Found existing installation: graphviz 0.20.1\n",
            "    Uninstalling graphviz-0.20.1:\n",
            "      Successfully uninstalled graphviz-0.20.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires fastapi, which is not installed.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "lida 0.0.10 requires python-multipart, which is not installed.\n",
            "lida 0.0.10 requires uvicorn, which is not installed.\n",
            "chex 0.1.85 requires numpy>=1.24.1, but you have numpy 1.23.1 which is incompatible.\n",
            "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed graphviz-0.8.4 mxnet-mkl-1.6.0 numpy-1.23.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gluonts==0.14.2\n",
            "  Downloading gluonts-0.14.2-py3-none-any.whl (1.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m16.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy~=1.16 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (1.23.1)\n",
            "Requirement already satisfied: pandas<3,>=1.0 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (1.5.3)\n",
            "Requirement already satisfied: pydantic<3,>=1.7 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (2.6.1)\n",
            "Requirement already satisfied: tqdm~=4.23 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (4.66.2)\n",
            "Requirement already satisfied: toolz~=0.10 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (0.12.1)\n",
            "Requirement already satisfied: typing-extensions~=4.0 in /usr/local/lib/python3.10/dist-packages (from gluonts==0.14.2) (4.9.0)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3,>=1.0->gluonts==0.14.2) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3,>=1.0->gluonts==0.14.2) (2023.4)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.7->gluonts==0.14.2) (0.6.0)\n",
            "Requirement already satisfied: pydantic-core==2.16.2 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.7->gluonts==0.14.2) (2.16.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas<3,>=1.0->gluonts==0.14.2) (1.16.0)\n",
            "Installing collected packages: gluonts\n",
            "Successfully installed gluonts-0.14.2\n",
            "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.36)\n",
            "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.5.3)\n",
            "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.23.1)\n",
            "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.31.0)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance) (0.0.11)\n",
            "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.9.4)\n",
            "Requirement already satisfied: appdirs>=1.4.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.4.4)\n",
            "Requirement already satisfied: pytz>=2022.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2023.4)\n",
            "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.4.0)\n",
            "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (3.17.1)\n",
            "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.12.3)\n",
            "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.1)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4>=4.11.1->yfinance) (2.5)\n",
            "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (1.16.0)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2024.2.2)\n"
          ]
        }
      ],
      "source": [
        "# Installation of gluonTS\n",
        "!pip uninstall numpy # Downgrade numpy to 1.23\n",
        "!pip3 install mxnet-mkl==1.6.0 numpy==1.23.1\n",
        "!pip install gluonts==0.14.2\n",
        "!pip install yfinance"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "toS0lQ6j8MJ-",
        "outputId": "37e604bf-d2c4-476c-b2c6-35e53ce2b5f3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[*********************100%%**********************]  5 of 5 completed\n"
          ]
        }
      ],
      "source": [
        "import yfinance as yf\n",
        "orig = yf.download([\"SPY\",\"MSFT\",\"AMZN\",\"GOOG\",\"PGR\"], start=\"2020-01-01\", end=\"2024-12-31\")\n",
        "orig = orig[[('Adj Close', 'AMZN'),('Adj Close', 'GOOG'),('Adj Close', 'MSFT'),('Adj Close',  'PGR'),('Adj Close',  'SPY')]]\n",
        "orig.columns = ['AMZN','GOOG','MSFT','PGR','SPY']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "X83Fayu0_Gml",
        "outputId": "1dedf908-4b72-4a80-fd00-88355eca7cfa"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  AMZN        GOOG        MSFT         PGR         SPY\n",
              "Date                                                                  \n",
              "2020-01-02   94.900497   68.368500  154.493805   66.445465  305.058441\n",
              "2020-01-03   93.748497   68.032997  152.570160   66.436539  302.748413\n",
              "2020-01-06   95.143997   69.710503  152.964508   67.643333  303.903473\n",
              "2020-01-07   95.343002   69.667000  151.569778   67.126694  303.048950\n",
              "2020-01-08   94.598503   70.216003  153.984039   67.523415  304.664093\n",
              "...                ...         ...         ...         ...         ...\n",
              "2024-02-12  172.339996  148.729996  414.493500  182.360001  500.980011\n",
              "2024-02-13  168.639999  146.369995  405.570007  182.080002  494.079987\n",
              "2024-02-14  170.979996  147.139999  409.489990  187.949997  498.570007\n",
              "2024-02-15  169.800003  143.940002  406.559998  189.240005  502.010010\n",
              "2024-02-16  169.509995  141.759995  404.059998  189.089996  499.510010\n",
              "\n",
              "[1039 rows x 5 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f7b2a2a7-b951-492c-9749-5cc5ecc534b4\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AMZN</th>\n",
              "      <th>GOOG</th>\n",
              "      <th>MSFT</th>\n",
              "      <th>PGR</th>\n",
              "      <th>SPY</th>\n",
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              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-01-02</th>\n",
              "      <td>94.900497</td>\n",
              "      <td>68.368500</td>\n",
              "      <td>154.493805</td>\n",
              "      <td>66.445465</td>\n",
              "      <td>305.058441</td>\n",
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              "    <tr>\n",
              "      <th>2020-01-03</th>\n",
              "      <td>93.748497</td>\n",
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              "      <td>152.570160</td>\n",
              "      <td>66.436539</td>\n",
              "      <td>302.748413</td>\n",
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              "    <tr>\n",
              "      <th>2020-01-06</th>\n",
              "      <td>95.143997</td>\n",
              "      <td>69.710503</td>\n",
              "      <td>152.964508</td>\n",
              "      <td>67.643333</td>\n",
              "      <td>303.903473</td>\n",
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              "    <tr>\n",
              "      <th>2020-01-07</th>\n",
              "      <td>95.343002</td>\n",
              "      <td>69.667000</td>\n",
              "      <td>151.569778</td>\n",
              "      <td>67.126694</td>\n",
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              "    <tr>\n",
              "      <th>2020-01-08</th>\n",
              "      <td>94.598503</td>\n",
              "      <td>70.216003</td>\n",
              "      <td>153.984039</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>2024-02-12</th>\n",
              "      <td>172.339996</td>\n",
              "      <td>148.729996</td>\n",
              "      <td>414.493500</td>\n",
              "      <td>182.360001</td>\n",
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              "      <th>2024-02-13</th>\n",
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              "      <th>2024-02-14</th>\n",
              "      <td>170.979996</td>\n",
              "      <td>147.139999</td>\n",
              "      <td>409.489990</td>\n",
              "      <td>187.949997</td>\n",
              "      <td>498.570007</td>\n",
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              "      <th>2024-02-15</th>\n",
              "      <td>169.800003</td>\n",
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              "      <td>502.010010</td>\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ed69f782-cf3b-4b34-9697-e9bc949d5a48\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ed69f782-cf3b-4b34-9697-e9bc949d5a48')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ed69f782-cf3b-4b34-9697-e9bc949d5a48 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d93cb9d8-6109-423f-8656-628cb44c9eae\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('orig')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_d93cb9d8-6109-423f-8656-628cb44c9eae button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('orig');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "orig",
              "summary": "{\n  \"name\": \"orig\",\n  \"rows\": 1039,\n  \"fields\": [\n    {\n      \"column\": \"AMZN\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27.353458568843372,\n        \"min\": 81.81999969482422,\n        \"max\": 186.57049560546875,\n        \"samples\": [\n          141.22999572753906,\n          107.78350067138672,\n          162.5540008544922\n        ],\n        \"num_unique_values\": 1017,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"GOOG\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.86717067755818,\n        \"min\": 52.83100128173828,\n        \"max\": 154.83999633789062,\n        \"samples\": [\n          137.8784942626953,\n          108.2959976196289,\n          138.93800354003906\n        ],\n        \"num_unique_values\": 1020,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MSFT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 59.937533958310546,\n        \"min\": 130.61073303222656,\n        \"max\": 419.7737121582031,\n        \"samples\": [\n          183.56935119628906,\n          167.35768127441406,\n          241.48692321777344\n        ],\n        \"num_unique_values\": 1032,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PGR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27.058688151995867,\n        \"min\": 61.397491455078125,\n        \"max\": 189.24000549316406,\n        \"samples\": [\n          134.10264587402344,\n          105.10086822509766,\n          88.75923156738281\n        ],\n        \"num_unique_values\": 1015,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SPY\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 56.792001364168115,\n        \"min\": 210.5848846435547,\n        \"max\": 502.010009765625,\n        \"samples\": [\n          419.2436218261719,\n          416.38372802734375,\n          423.5854797363281\n        ],\n        \"num_unique_values\": 1028,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "data = orig\n",
        "data\n",
        "# You can also re-sample to monthly\n",
        "# data = orig.asfreq('M').ffill()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "zufX_FGIsuLc"
      },
      "outputs": [],
      "source": [
        "%matplotlib inline\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from matplotlib import pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 418
        },
        "id": "tHtP0HyYt69Y",
        "outputId": "ee8be814-e1ee-4c2f-c4c1-6c5999e5d322"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Stocks')"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "data.plot(figsize=(12, 4))\n",
        "plt.legend(loc='upper left')\n",
        "plt.title(\"Stocks\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_uSKPDoQzcKD",
        "outputId": "725084a9-7cd0-436b-afea-0ca08794aba8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The time series has 1039 data points\n"
          ]
        }
      ],
      "source": [
        "print(\"The time series has\", data.shape[0], \"data points\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FX4LSAohy7JX",
        "outputId": "c8e3d9d8-6b51-457c-83fa-69520fc734b4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(883, 5), (156, 5)]"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "len_train = int(data.shape[0] * 0.85)\n",
        "train_data = data[0:len_train]\n",
        "test_data = data[len_train:]\n",
        "[train_data.shape, test_data.shape]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uEmBd4I7yZeg"
      },
      "source": [
        "## GluonTS data preparation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8Y4jKz30ue6",
        "outputId": "5515a072-3abe-4e22-ea96-df9df9f1b0dc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'start': Timestamp('2020-01-02 00:00:00'), 'target': array([ 94.90049744,  93.74849701,  95.14399719,  95.34300232,\n",
            "        94.59850311,  95.05249786,  94.15799713,  94.56500244,\n",
            "        93.47200012,  93.10099792,  93.89700317,  93.23600006,\n",
            "        94.59999847,  94.3730011 ,  94.22899628,  93.08200073,\n",
            "        91.41699982,  92.66249847,  92.90000153,  93.53399658,\n",
            "       100.43599701, 100.20999908, 102.48349762, 101.99349976,\n",
            "       102.5114975 , 103.96399689, 106.69550323, 107.54000092,\n",
            "       108.        , 107.49349976, 106.74349976, 107.78350067,\n",
            "       108.51100159, 107.65499878, 104.79850006, 100.46450043,\n",
            "        98.63700104,  98.97949982,  94.21499634,  94.1875    ,\n",
            "        97.69750214,  95.44950104,  98.79149628,  96.20149994,\n",
            "        95.05449677,  90.03050232,  94.59100342,  91.04299927,\n",
            "        83.83049774,  89.25      ,  84.45749664,  90.39199829,\n",
            "        91.5       ,  94.04650116,  92.30449677,  95.14150238,\n",
            "        97.00499725,  94.29199982,  97.77449799,  95.00499725,\n",
            "        98.19750214,  97.48600006,  95.38500214,  95.9414978 ,\n",
            "        95.32949829,  99.87950134, 100.58000183, 102.15000153,\n",
            "       102.13800049, 108.4434967 , 114.16600037, 115.38400269,\n",
            "       120.40950012, 118.75      , 119.68049622, 116.40599823,\n",
            "       118.17449951, 119.97250366, 120.51100159, 118.80000305,\n",
            "       115.70400238, 118.63549805, 123.69999695, 114.30200195,\n",
            "       115.79949951, 115.88999939, 117.56300354, 118.38050079,\n",
            "       118.98049927, 120.44999695, 117.84750366, 118.39600372,\n",
            "       119.44249725, 120.48899841, 121.31300354, 122.46649933,\n",
            "       124.89700317, 122.33699799, 121.84400177, 121.09300232,\n",
            "       120.51950073, 120.05500031, 122.11849976, 123.55200195,\n",
            "       123.62049866, 123.91999817, 123.02999878, 124.15000153,\n",
            "       126.20300293, 130.04299927, 132.37249756, 127.89800262,\n",
            "       127.25099945, 128.63400269, 130.76350403, 132.04899597,\n",
            "       132.69900513, 133.75050354, 135.69099426, 138.22050476,\n",
            "       136.72000122, 137.72900391, 134.64349365, 134.01899719,\n",
            "       137.94099426, 143.93499756, 144.51499939, 152.852005  ,\n",
            "       150.0059967 , 154.05549622, 159.13150024, 160.        ,\n",
            "       155.19999695, 154.19999695, 150.4434967 , 149.99499512,\n",
            "       148.09849548, 159.84199524, 156.914505  , 154.99549866,\n",
            "       149.32749939, 150.44549561, 152.76049805, 150.01649475,\n",
            "       151.67649841, 152.59399414, 158.23399353, 155.59449768,\n",
            "       156.9414978 , 160.25149536, 161.25      , 158.3730011 ,\n",
            "       157.40800476, 154.03349304, 158.11199951, 158.05099487,\n",
            "       157.40100098, 159.12049866, 165.62449646, 163.02400208,\n",
            "       164.86849976, 164.23599243, 165.3730011 , 167.32449341,\n",
            "       172.09249878, 170.        , 170.08999634, 172.54800415,\n",
            "       174.95599365, 176.57249451, 168.3999939 , 164.73100281,\n",
            "       157.49200439, 163.43049622, 158.75549316, 155.81100464,\n",
            "       155.14849854, 157.8065033 , 153.90499878, 150.43649292,\n",
            "       147.74549866, 148.02349854, 156.44949341, 149.99299622,\n",
            "       150.98950195, 154.75650024, 158.70249939, 157.2440033 ,\n",
            "       157.43649292, 161.06300354, 156.25      , 159.96000671,\n",
            "       154.9980011 , 159.78450012, 159.52749634, 164.33250427,\n",
            "       172.14649963, 172.1815033 , 168.1855011 , 166.93249512,\n",
            "       163.63549805, 160.36050415, 160.85049438, 159.24699402,\n",
            "       158.82000732, 160.22000122, 160.352005  , 164.3164978 ,\n",
            "       158.13900757, 160.55050659, 151.80749512, 150.22399902,\n",
            "       152.42050171, 162.05799866, 166.1000061 , 165.5684967 ,\n",
            "       157.18699646, 151.75100708, 156.86950684, 155.51400757,\n",
            "       156.44050598, 156.55299377, 156.78300476, 155.272995  ,\n",
            "       155.85099792, 154.97000122, 154.91949463, 155.90299988,\n",
            "       159.25349426, 159.76699829, 158.4019928 , 161.0039978 ,\n",
            "       160.17649841, 159.33650208, 158.1289978 , 157.8999939 ,\n",
            "       158.86450195, 155.21000671, 155.07449341, 155.82099915,\n",
            "       157.84849548, 158.2559967 , 162.04800415, 161.80400085,\n",
            "       160.08250427, 160.30900574, 160.32600403, 159.26350403,\n",
            "       158.63450623, 164.19799805, 166.1000061 , 164.29249573,\n",
            "       162.84649658, 159.33149719, 160.92550659, 156.91900635,\n",
            "       158.10800171, 159.13499451, 155.710495  , 156.04150391,\n",
            "       158.29449463, 156.37350464, 155.2124939 , 156.03799438,\n",
            "       163.16900635, 165.34950256, 164.61149597, 164.69999695,\n",
            "       166.3065033 , 161.6289978 , 161.8809967 , 160.30999756,\n",
            "       167.14399719, 169.        , 165.62649536, 166.55000305,\n",
            "       167.60749817, 166.14700317, 165.25      , 164.32899475,\n",
            "       163.10650635, 163.88549805, 163.44749451, 165.43200684,\n",
            "       166.41149902, 162.49499512, 159.03700256, 159.7250061 ,\n",
            "       157.97650146, 152.85800171, 154.64649963, 157.30700684,\n",
            "       154.72650146, 150.25      , 148.87849426, 150.022995  ,\n",
            "       147.59750366, 153.14250183, 152.88200378, 155.67950439,\n",
            "       154.47450256, 154.08399963, 154.59300232, 156.78649902,\n",
            "       151.39950562, 153.7480011 , 155.54350281, 156.875     ,\n",
            "       154.35350037, 152.31300354, 152.60150146, 153.78649902,\n",
            "       152.76449585, 154.70399475, 158.05000305, 161.33650208,\n",
            "       161.19099426, 163.96949768, 164.96499634, 168.61000061,\n",
            "       168.96949768, 170.        , 166.6499939 , 168.95449829,\n",
            "       169.97200012, 168.60049438, 166.73449707, 168.10099792,\n",
            "       165.45199585, 167.04400635, 170.44999695, 170.87150574,\n",
            "       172.92500305, 173.56550598, 173.3710022 , 169.32449341,\n",
            "       165.59350586, 163.5269928 , 165.3184967 , 164.58050537,\n",
            "       159.52450562, 161.19549561, 157.59700012, 158.07350159,\n",
            "       161.14500427, 163.51950073, 161.61399841, 161.58999634,\n",
            "       162.38400269, 160.15400696, 162.24949646, 162.95249939,\n",
            "       163.25799561, 161.50549316, 161.15350342, 160.93249512,\n",
            "       161.69949341, 159.35049438, 160.31100464, 159.90049744,\n",
            "       163.20550537, 164.05749512, 167.48249817, 167.34150696,\n",
            "       169.1934967 , 169.15649414, 170.76249695, 174.46200562,\n",
            "       174.34500122, 172.69799805, 175.27200317, 175.19099426,\n",
            "       172.45399475, 170.07299805, 172.19450378, 172.40699768,\n",
            "       172.00799561, 171.64849854, 175.54899597, 183.78700256,\n",
            "       184.82899475, 186.57049561, 185.96699524, 185.92750549,\n",
            "       183.86799622, 184.08399963, 181.55999756, 178.6815033 ,\n",
            "       177.47950745, 178.65950012, 179.25999451, 181.90150452,\n",
            "       182.83200073, 184.99099731, 181.31950378, 181.51600647,\n",
            "       179.9960022 , 166.37950134, 166.57400513, 168.31199646,\n",
            "       167.73599243, 168.79949951, 167.24699402, 167.09350586,\n",
            "       166.03399658, 164.60549927, 165.17500305, 164.69850159,\n",
            "       164.94949341, 162.0980072 , 160.06100464, 159.38749695,\n",
            "       159.99749756, 163.29350281, 165.28900146, 164.95899963,\n",
            "       165.80000305, 167.48150635, 171.07850647, 173.539505  ,\n",
            "       173.94999695, 173.15600586, 173.90249634, 175.4644928 ,\n",
            "       176.2749939 , 174.20799255, 173.45750427, 172.85850525,\n",
            "       172.5       , 173.789505  , 174.41200256, 173.12600708,\n",
            "       167.78649902, 167.1815033 , 169.00250244, 170.80000305,\n",
            "       171.27600098, 170.28999329, 165.79800415, 165.05599976,\n",
            "       164.2519989 , 164.16299438, 159.48899841, 161.05000305,\n",
            "       163.10049438, 165.12150574, 164.43099976, 162.31500244,\n",
            "       162.36650085, 164.21400452, 164.99299622, 170.45100403,\n",
            "       172.33700562, 172.20750427, 170.75300598, 171.75050354,\n",
            "       166.77749634, 166.01849365, 168.80349731, 169.62449646,\n",
            "       172.32850647, 168.62150574, 165.90550232, 165.63749695,\n",
            "       169.19999695, 173.8500061 , 175.94949341, 174.44900513,\n",
            "       178.81149292, 174.10249329, 173.625     , 176.25750732,\n",
            "       177.28399658, 177.03500366, 177.44999695, 184.80299377,\n",
            "       183.82850647, 178.62849426, 179.0019989 , 179.02049255,\n",
            "       175.22799683, 178.07850647, 175.35350037, 172.18600464,\n",
            "       171.86799622, 169.48950195, 171.36849976, 176.164505  ,\n",
            "       176.15800476, 174.17100525, 172.21200562, 169.56750488,\n",
            "       169.09150696, 173.31500244, 168.8710022 , 170.01750183,\n",
            "       167.07899475, 170.41700745, 171.03700256, 171.0684967 ,\n",
            "       169.66949463, 170.66099548, 169.20100403, 168.64450073,\n",
            "       166.71699524, 170.40449524, 167.52200317, 164.35699463,\n",
            "       163.2539978 , 162.55400085, 161.48599243, 165.36199951,\n",
            "       165.20700073, 161.21400452, 162.13800049, 158.91749573,\n",
            "       156.29899597, 151.66749573, 142.64300537, 144.54400635,\n",
            "       139.98599243, 138.87249756, 139.63749695, 143.97799683,\n",
            "       149.57350159, 151.1934967 , 150.61250305, 138.84550476,\n",
            "       157.63949585, 157.9355011 , 161.41349792, 161.1894989 ,\n",
            "       159.00349426, 153.29350281, 155.16700745, 156.51049805,\n",
            "       158.10049438, 154.65249634, 152.60150146, 150.19749451,\n",
            "       144.82699585, 151.35800171, 153.78849792, 153.56300354,\n",
            "       151.14199829, 152.05250549, 147.89849854, 145.64100647,\n",
            "       137.45300293, 136.01449585, 139.27900696, 146.81750488,\n",
            "       145.52450562, 141.85299683, 147.36650085, 153.10400391,\n",
            "       157.23899841, 161.25050354, 161.49150085, 164.88900757,\n",
            "       163.40800476, 163.64950562, 164.77349854, 168.99049377,\n",
            "       169.31500244, 166.30099487, 162.99749756, 163.55999756,\n",
            "       168.34649658, 164.05499268, 158.7559967 , 157.78450012,\n",
            "       154.460495  , 151.12199402, 150.7875061 , 155.54100037,\n",
            "       151.70649719, 152.78500366, 158.11549377, 153.9980011 ,\n",
            "       148.29600525, 144.3500061 , 146.07400513, 139.39100647,\n",
            "       138.16700745, 144.59649658, 124.28150177, 124.5       ,\n",
            "       124.25350189, 125.92849731, 116.40699768, 114.77249908,\n",
            "       108.78900146, 108.85900116, 105.37200165, 106.93049622,\n",
            "       113.05500031, 110.8105011 , 115.36849976, 107.11250305,\n",
            "       107.31900024, 107.59100342, 107.55699921, 104.09999847,\n",
            "       106.77500153, 111.07749939, 115.14649963, 120.20950317,\n",
            "       121.68399811, 125.51100159, 122.34999847, 124.79000092,\n",
            "       123.        , 121.18000031, 116.15000153, 109.65000153,\n",
            "       103.66999817, 102.30999756, 107.66999817, 103.66000366,\n",
            "       106.22000122, 108.68000031, 108.94999695, 112.44000244,\n",
            "       116.45999908, 113.22000122, 107.40000153, 108.91999817,\n",
            "       106.20999908, 109.55999756, 113.5       , 114.33000183,\n",
            "       116.33000183, 115.54000092, 111.75      , 109.22000122,\n",
            "       110.40000153, 110.62999725, 113.55000305, 113.76000214,\n",
            "       118.20999908, 122.76999664, 124.62999725, 122.41999817,\n",
            "       121.13999939, 114.80999756, 120.97000122, 122.27999878,\n",
            "       134.94999695, 135.38999939, 134.16000366, 139.52000427,\n",
            "       142.57000732, 140.80000305, 139.41000366, 137.83000183,\n",
            "       142.69000244, 140.63999939, 143.55000305, 143.17999268,\n",
            "       144.77999878, 142.1000061 , 142.30000305, 138.22999573,\n",
            "       133.22000122, 133.61999512, 133.80000305, 137.27999878,\n",
            "       130.75      , 129.78999329, 128.72999573, 126.76999664,\n",
            "       127.81999969, 127.51000214, 126.11000061, 129.47999573,\n",
            "       129.82000732, 133.27000427, 136.44999695, 126.81999969,\n",
            "       128.55000305, 126.27999878, 123.52999878, 124.66000366,\n",
            "       122.19000244, 118.54000092, 117.30999756, 113.77999878,\n",
            "       115.15000153, 114.41000366, 118.01000214, 114.80000305,\n",
            "       113.        , 115.87999725, 121.08999634, 120.94999695,\n",
            "       120.30000305, 114.55999756, 113.66999817, 112.20999908,\n",
            "       112.90000153, 112.52999878, 106.90000153, 113.79000092,\n",
            "       116.36000061, 115.06999969, 115.25      , 119.31999969,\n",
            "       119.81999969, 120.59999847, 115.66000366, 110.95999908,\n",
            "       103.41000366, 102.44000244,  96.79000092,  92.12000275,\n",
            "        89.30000305,  90.98000336,  90.52999878,  89.98000336,\n",
            "        86.13999939,  96.62999725, 100.79000092,  98.48999786,\n",
            "        98.94000244,  97.12000275,  94.84999847,  94.13999939,\n",
            "        92.45999908,  93.19999695,  94.12999725,  93.41000366,\n",
            "        93.94999695,  92.41999817,  96.54000092,  95.5       ,\n",
            "        94.12999725,  91.01000214,  88.25      ,  88.45999908,\n",
            "        90.34999847,  89.08999634,  90.55000305,  92.48999786,\n",
            "        91.58000183,  88.44999695,  87.86000061,  84.91999817,\n",
            "        85.19000244,  86.76999664,  83.79000092,  85.25      ,\n",
            "        83.04000092,  81.81999969,  84.18000031,  84.        ,\n",
            "        85.81999969,  85.13999939,  83.12000275,  86.08000183,\n",
            "        87.36000061,  89.87000275,  95.08999634,  95.26999664,\n",
            "        98.12000275,  96.05000305,  95.45999908,  93.68000031,\n",
            "        97.25      ,  97.51999664,  96.31999969,  97.18000031,\n",
            "        99.22000122, 102.23999786, 100.55000305, 103.12999725,\n",
            "       105.15000153, 112.91000366, 103.38999939, 102.18000031,\n",
            "       102.11000061, 100.05000305,  98.23999786,  97.61000061,\n",
            "        99.54000092,  99.69999695, 101.16000366,  98.15000153,\n",
            "        97.19999695,  94.58000183,  95.79000092,  95.81999969,\n",
            "        93.5       ,  93.76000214,  94.23000336,  92.16999817,\n",
            "        92.12999725,  94.90000153,  93.75      ,  93.55000305,\n",
            "        93.91999817,  92.25      ,  90.73000336,  92.43000031,\n",
            "        94.87999725,  96.19999695, 100.04000092,  98.94999695,\n",
            "        97.70999908, 100.61000061,  98.69999695,  98.70999908,\n",
            "        98.12999725,  98.04000092,  97.23999786, 100.25      ,\n",
            "       102.        , 103.29000092, 102.41000366, 103.94999695,\n",
            "       101.09999847, 102.05999756, 102.16999817,  99.91999817,\n",
            "        97.83000183, 102.40000153, 102.51000214, 102.73999786,\n",
            "       102.30000305, 104.30000305, 103.80999756, 106.95999908,\n",
            "       106.20999908, 102.56999969, 104.98000336, 109.81999969,\n",
            "       105.44999695, 102.05000305, 103.62999725, 103.65000153,\n",
            "       104.        , 105.66000366, 105.83000183, 106.62000275,\n",
            "       110.19000244, 112.18000031, 110.26000214, 111.19999695,\n",
            "       113.40000153, 115.5       , 118.15000153, 116.25      ,\n",
            "       115.01000214, 114.98999786, 116.75      , 115.        ,\n",
            "       120.11000061, 121.66000366, 120.58000183, 122.76999664,\n",
            "       124.25      , 125.30000305, 126.61000061, 121.23000336,\n",
            "       124.25      , 123.43000031, 126.56999969, 126.66000366,\n",
            "       126.41999817, 127.11000061, 125.48999786, 125.77999878,\n",
            "       124.83000183, 130.1499939 , 129.33000183, 127.33000183,\n",
            "       129.17999268, 129.03999329, 127.90000153, 130.36000061,\n",
            "       130.22000122, 130.38000488, 128.36000061])}\n",
            "{'start': Timestamp('2023-07-07 00:00:00'), 'target': array([129.77999878, 127.12999725, 128.77999878, 130.80000305,\n",
            "       134.30000305, 134.67999268, 133.55999756, 132.83000183,\n",
            "       135.36000061, 129.96000671, 130.        , 128.80000305,\n",
            "       129.13000488, 128.1499939 , 128.25      , 132.21000671,\n",
            "       133.67999268, 131.69000244, 128.21000671, 128.91000366,\n",
            "       139.57000732, 142.22000122, 139.94000244, 137.8500061 ,\n",
            "       138.55999756, 138.41000366, 140.57000732, 137.66999817,\n",
            "       135.07000732, 133.97999573, 133.22000122, 134.67999268,\n",
            "       134.25      , 135.52000427, 131.83999634, 133.25999451,\n",
            "       133.13999939, 134.91000366, 135.07000732, 138.00999451,\n",
            "       138.11999512, 137.27000427, 135.36000061, 137.8500061 ,\n",
            "       138.22999573, 143.1000061 , 141.22999573, 144.8500061 ,\n",
            "       144.72000122, 140.38999939, 139.97999573, 137.63000488,\n",
            "       135.28999329, 129.33000183, 129.11999512, 131.27000427,\n",
            "       125.98000336, 125.98000336, 125.98000336, 127.12000275,\n",
            "       129.46000671, 124.72000122, 127.        , 125.95999908,\n",
            "       127.95999908, 128.25999451, 129.47999573, 131.83000183,\n",
            "       132.33000183, 129.78999329, 132.55000305, 131.47000122,\n",
            "       128.13000488, 128.3999939 , 125.16999817, 126.55999756,\n",
            "       128.55999756, 121.38999939, 119.56999969, 127.73999786,\n",
            "       132.71000671, 133.08999634, 137.        , 138.07000732,\n",
            "       138.6000061 , 139.74000549, 142.71000671, 142.08000183,\n",
            "       140.6000061 , 143.55999756, 142.58999634, 145.80000305,\n",
            "       143.19999695, 142.83000183, 145.17999268, 146.13000488,\n",
            "       143.8999939 , 146.71000671, 146.74000549, 147.72999573,\n",
            "       147.02999878, 146.32000732, 146.08999634, 147.02999878,\n",
            "       144.83999634, 146.88000488, 144.52000427, 146.88000488,\n",
            "       147.41999817, 145.88999939, 147.47999573, 148.83999634,\n",
            "       147.41999817, 149.97000122, 154.07000732, 153.78999329,\n",
            "       152.11999512, 153.83999634, 153.41999817, 153.41000366,\n",
            "       153.33999634, 153.38000488, 151.94000244, 149.92999268,\n",
            "       148.47000122, 144.57000732, 145.24000549, 149.1000061 ,\n",
            "       151.36999512, 153.72999573, 155.17999268, 154.61999512,\n",
            "       153.16000366, 151.71000671, 153.5       , 155.33999634,\n",
            "       154.77999878, 156.02000427, 156.86999512, 157.75      ,\n",
            "       159.11999512, 161.25999451, 159.        , 155.19999695,\n",
            "       159.27999878, 171.80999756, 170.30999756, 169.1499939 ,\n",
            "       170.52999878, 169.83999634, 174.44999695, 172.33999634,\n",
            "       168.63999939, 170.97999573, 169.80000305, 169.50999451])}\n"
          ]
        }
      ],
      "source": [
        "# Prepare the data for deepAR format\n",
        "from gluonts.dataset.common import ListDataset\n",
        "from gluonts.dataset.field_names import FieldName\n",
        "\n",
        "def to_deepar_format(dataframe, freq):\n",
        "    start_index = dataframe.index.min()\n",
        "    data = [{\n",
        "                FieldName.START:  start_index,\n",
        "                FieldName.TARGET:  dataframe[c].values,\n",
        "            }\n",
        "            for c in dataframe.columns]\n",
        "    print(data[0])\n",
        "    return ListDataset(data, freq=freq)\n",
        "train_data_lds = to_deepar_format(train_data, 'D')\n",
        "test_data_lds = to_deepar_format(test_data, 'D')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O5wXi-jW2sJR"
      },
      "source": [
        "DeepAR Basic Hyperparameters:\n",
        "\n",
        "- prediction_length: How many steps the model is going to predict\n",
        "- context_length: The number of time-points that the model gets to see before making the prediction. The value for this parameter should be about the same as the prediction_length.\n",
        "- epochs: The maximum number of passes over the training data. Typical values range from 10 to 1000.\n",
        "- num_cells: The number of cells to use in each hidden layer of the RNN. Typical values range from 30 to 100.\n",
        "- num_layers: The number of hidden layers in the RNN. Typical values range from 1 to 4."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T39353Xvybrc",
        "outputId": "5509833d-2fc2-4038-d23e-acb734d5d848"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
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            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=142/150, avg_epoch_loss=2.21]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=143/150, avg_epoch_loss=2.19]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=144/150, avg_epoch_loss=2.22]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.07it/s, epoch=145/150, avg_epoch_loss=2.21]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=146/150, avg_epoch_loss=2.24]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=147/150, avg_epoch_loss=2.21]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=148/150, avg_epoch_loss=2.19]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.09it/s, epoch=149/150, avg_epoch_loss=2.21]\n",
            "100%|██████████| 50/50 [00:46<00:00,  1.08it/s, epoch=150/150, avg_epoch_loss=2.23]\n"
          ]
        }
      ],
      "source": [
        "# api: https://ts.gluon.ai/stable/api/gluonts/gluonts.mx.model.deepar.html\n",
        "# paper: Salinas, David, Valentin Flunkert, and Jan Gasthaus. “DeepAR: Probabilistic forecasting with autoregressive recurrent networks.” arXiv preprint arXiv:1704.04110 (2017).\n",
        "\n",
        "from gluonts.mx.model.deepar import DeepAREstimator\n",
        "#from gluonts.torch.model.deepar.estimator import DeepAREstimator\n",
        "from gluonts.mx.trainer import Trainer\n",
        "\n",
        "prediction_length = 30\n",
        "context_length = 30\n",
        "num_cells = 100\n",
        "num_layers = 8\n",
        "epochs= 150\n",
        "freq=\"D\" # Our data is daily\n",
        "\n",
        "estimator =   DeepAREstimator(freq=freq,\n",
        "                                context_length=context_length,\n",
        "                                prediction_length=prediction_length,\n",
        "                                num_layers=num_layers,\n",
        "                                num_cells=num_cells,\n",
        "                                cardinality=[1],\n",
        "                                trainer=Trainer(epochs=epochs))\n",
        "predictor = estimator.train(train_data_lds)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "2qjtD6BP4Kh3"
      },
      "outputs": [],
      "source": [
        "from gluonts.evaluation.backtest import make_evaluation_predictions\n",
        "forecast_it, ts_it = make_evaluation_predictions(\n",
        "    dataset=test_data_lds,\n",
        "    predictor=predictor,\n",
        ")\n",
        "tss = list(ts_it)\n",
        "forecasts = list(forecast_it)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "fkZUdEZz5Ni5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "b60ac119-7401-4804-be7a-714ee26eb8f5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "for k in range(len(forecasts)):\n",
        "  fig, ax1 = plt.subplots(1, 1, figsize=(12, 4))\n",
        "  forecasts[k].plot(ax = ax1)\n",
        "  tss[k].plot(ax = ax1)\n",
        "  ax1.get_legend().remove()\n",
        "  plt.grid(which=\"both\")\n",
        "  plt.title(\"Stock\" + data.columns[k])\n",
        "  plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "U-aArVIEFrYD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0aa0d9cf-2a3c-483f-b4c9-4285f54a8d56"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Running evaluation: 100%|██████████| 5/5 [00:00<00:00, 82.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "    \"MSE\": 41.4098828125,\n",
            "    \"abs_error\": 743.3964691162109,\n",
            "    \"abs_target_sum\": 41060.6259765625,\n",
            "    \"abs_target_mean\": 273.73750651041667,\n",
            "    \"seasonal_error\": 2.2641952880859373,\n",
            "    \"MASE\": 2.356861690088161,\n",
            "    \"MAPE\": 0.0222131609916687,\n",
            "    \"sMAPE\": 0.02188496212164561,\n",
            "    \"MSIS\": 21.42736430581951,\n",
            "    \"num_masked_target_values\": 0.0,\n",
            "    \"QuantileLoss[0.1]\": 449.42638244628915,\n",
            "    \"Coverage[0.1]\": 0.2666666666666667,\n",
            "    \"QuantileLoss[0.2]\": 617.0498840332032,\n",
            "    \"Coverage[0.2]\": 0.35333333333333333,\n",
            "    \"QuantileLoss[0.3]\": 710.0877990722655,\n",
            "    \"Coverage[0.3]\": 0.4533333333333333,\n",
            "    \"QuantileLoss[0.4]\": 750.3131042480468,\n",
            "    \"Coverage[0.4]\": 0.5066666666666666,\n",
            "    \"QuantileLoss[0.5]\": 743.3964691162109,\n",
            "    \"Coverage[0.5]\": 0.5666666666666667,\n",
            "    \"QuantileLoss[0.6]\": 707.8507934570313,\n",
            "    \"Coverage[0.6]\": 0.6599999999999999,\n",
            "    \"QuantileLoss[0.7]\": 640.9473663330078,\n",
            "    \"Coverage[0.7]\": 0.74,\n",
            "    \"QuantileLoss[0.8]\": 529.5050292968749,\n",
            "    \"Coverage[0.8]\": 0.8,\n",
            "    \"QuantileLoss[0.9]\": 342.53314514160155,\n",
            "    \"Coverage[0.9]\": 0.8400000000000001,\n",
            "    \"RMSE\": 6.4350511118793765,\n",
            "    \"NRMSE\": 0.02350810889568215,\n",
            "    \"ND\": 0.01810484987590163,\n",
            "    \"wQuantileLoss[0.1]\": 0.010945434263540521,\n",
            "    \"wQuantileLoss[0.2]\": 0.015027775864533011,\n",
            "    \"wQuantileLoss[0.3]\": 0.01729364280704306,\n",
            "    \"wQuantileLoss[0.4]\": 0.01827329921069219,\n",
            "    \"wQuantileLoss[0.5]\": 0.01810484987590163,\n",
            "    \"wQuantileLoss[0.6]\": 0.01723916225390899,\n",
            "    \"wQuantileLoss[0.7]\": 0.015609780686219009,\n",
            "    \"wQuantileLoss[0.8]\": 0.012895688185541,\n",
            "    \"wQuantileLoss[0.9]\": 0.008342131591883677,\n",
            "    \"mean_absolute_QuantileLoss\": 610.1233303493923,\n",
            "    \"mean_wQuantileLoss\": 0.014859084971029233,\n",
            "    \"MAE_Coverage\": 0.3533333333333334,\n",
            "    \"OWA\": NaN\n",
            "}\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        }
      ],
      "source": [
        "from gluonts.evaluation import Evaluator\n",
        "\n",
        "evaluator = Evaluator()\n",
        "agg_metrics, item_metrics = evaluator(iter(tss), iter(forecasts), num_series=len(test_data_lds))\n",
        "\n",
        "import json\n",
        "print(json.dumps(agg_metrics, indent=4))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "AKogjwwjchul"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}