got past pylint import errors after running sudo chown -R sudo /Users/sudo/.conda/

Author: rockett-m

README.md

@@ -2,9 +2,13 @@
 
 #### Create and run conda environment
 
-`conda env create -f trading_env.yml`  
+`conda env create -f trading_env.yml`
 `conda activate trading_env`
 
+#### Overwrite env file (after updating to modules)
+
+`conda env export > trading_env.yml`
+
 #### See backtesting 1 year returns on Nasdaq pricing data for big tech stocks
 
 `python3 src/backtest.py`

TradingAlgos.code-workspace

@@ -0,0 +1,8 @@
+{
+	"folders": [
+		{
+			"path": "."
+		}
+	],
+	"settings": {}
+}

src/backtest.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 """
 This module contains functions to backtest different trading strategies.
 """
@@ -23,6 +24,7 @@
 https://www.nasdaq.com/market-activity/stocks/msft/historical?
     page=1&rows_per_page=10&timeline=y1)
 """
+
 if __name__ == '__main__':
 
     # gather all the tickers from the data folder

src/backtesting.py

@@ -168,7 +168,7 @@ def delta_high_low_yearly(stock) -> float:
     '''
     total_return = 0.0
 
-    for idx, row in stock.data_old_to_new.iterrows():
+    for _, row in stock.data_old_to_new.iterrows():
         # print(f'{idx = }; {row = }')
         high = float(row['High'].strip('$'))
         low = float(row['Low'].strip('$'))

src/parse_kaggle.py

@@ -1,12 +1,14 @@
-import os, sys
+"""
+This module contains functions to create a graph and a CSV file with the results of the backtesting.
+"""
 
+import os
 
-path_stocks = 'data/kaggle/stocks/'
-path_etfs = 'data/kaggle/etfs/'
+PATH_STOCKS = 'data/kaggle/stocks/'
+PATH_ETFS = 'data/kaggle/etfs/'
 
 # scraping
-
-for (root, dirs, files) in os.walk(path_stocks):
+for (root, dirs, files) in os.walk(PATH_STOCKS):
     for file in files:
         if file.endswith('.csv'):
             print(file)

src/scrape_live_stocks.py

@@ -1,3 +1,4 @@
+#!/usr/bin/env python3
 """
 This module contains functions to scrape live stocks from Yahoo Finance.
 It uses the aiohttp library to make asynchronous requests to the Yahoo Finance website.
@@ -146,7 +147,7 @@ def create_table(frame, dataframe, style):
         table.column(column, width=100)
 
     # Apply tags for specific columns
-    for i, row in enumerate(dataframe.itertuples(index=False)):
+    for _, row in enumerate(dataframe.itertuples(index=False)):
         tags = []
         if style == 'gainers' and row._4.startswith('+'):
             tags.append('gainers_change')

src/stock.py

@@ -1,7 +1,7 @@
+#!/usr/bin/env python3
 """
 This module contains the StockData class to represent stock data for a specific ticker.
 """
-
 import os
 import pandas as pd
 

trading_env.yml

@@ -3,30 +3,35 @@ channels:
   - defaults
 dependencies:
   - aiohttp=3.9.5=py312h80987f9_0
+  - astroid=3.2.2=py312hca03da5_0
   - blas=1.0=openblas
   - bottleneck=1.3.7=py312ha86b861_0
   - brotli-python=1.0.9=py312h313beb8_8
   - bzip2=1.0.8=h80987f9_6
   - ca-certificates=2024.3.11=hca03da5_0
   - certifi=2024.6.2=py312hca03da5_0
   - charset-normalizer=2.0.4=pyhd3eb1b0_0
+  - dill=0.3.8=py312hca03da5_0
   - et_xmlfile=1.1.0=py312hca03da5_1
   - expat=2.6.2=h313beb8_0
   - idna=3.7=py312hca03da5_0
+  - isort=5.9.3=pyhd3eb1b0_0
   - jinja2=3.1.4=py312hca03da5_0
   - libcxx=14.0.6=h848a8c0_0
   - libffi=3.4.4=hca03da5_1
   - libgfortran=5.0.0=11_3_0_hca03da5_28
   - libgfortran5=11.3.0=h009349e_28
   - libopenblas=0.3.21=h269037a_0
   - llvm-openmp=14.0.6=hc6e5704_0
+  - mccabe=0.7.0=pyhd3eb1b0_0
   - ncurses=6.4=h313beb8_0
   - numexpr=2.8.7=py312h0f3ea24_0
   - numpy=1.26.4=py312h7f4fdc5_0
   - numpy-base=1.26.4=py312he047099_0
   - openssl=3.0.13=h1a28f6b_2
   - pandas=2.2.1=py312hd77ebd4_0
   - pip=24.0=py312hca03da5_0
+  - pylint=3.2.2=py312hca03da5_0
   - pysocks=1.7.1=py312hca03da5_0
   - python=3.12.3=h99e199e_1
   - python-dateutil=2.9.0post0=py312hca03da5_2
@@ -39,6 +44,7 @@ dependencies:
   - soupsieve=2.5=py312hca03da5_0
   - sqlite=3.45.3=h80987f9_0
   - tk=8.6.14=h6ba3021_0
+  - tomlkit=0.11.1=py312hca03da5_0
   - tzdata=2024a=h04d1e81_0
   - urllib3=2.0.3=py312hca03da5_0
   - wheel=0.43.0=py312hca03da5_0