Overview

This script generates 3 detailed reports on historical data and performance trends for stocks in a specified watchlist in the .env file. The three files rendered are:

1. all company info available from yfinance for each stock in the watchlist.
2. historical data for each stock in the watchlist dating back to 2010.
3. a data table with the following columns for each stock in the watchlist (for buy/sell/hold analysis and use with ML models): '''symbol,trade_signal,macd_signal,rsi,macd,last closing_price,last_opening_price,bollinger_upper,bollinger_lower,last_trading_day_change_$,last_trading_day_change_%,change_2d_$,change_2d_%,change_3d_$,change_3d_%,change_4d_$,change_4d_%,change_5d_$,change_5d_%,change_6d_$,change_6d_%,change_7d_$,change_7d_%,change_8d_$,change_8d_%,change_9d_$,change_9d_%,change_10d_$,change_10d_%,change_11d_$,change_11d_%,change_12d_$,change_12d_%,change_13d_$,change_13d_%,change_14d_$,change_14d_%,change_30d_$,change_30d_%,change_60d_$,change_60d_%,change_90d_$,change_90d_%,change_180d_$,change_180d_%,change_365d_$,change_365d_%,change_730d_$,change_730d_%,change_1095d_$,change_1095d_%,change_1460d_$,change_1460d_%,change_1825d_$,change_1825d_%,change_3650d_$,change_3650d_%,last_trading_day_high,last_trading_day_low,3_day_high,3_day_low,4_day_high,4_day_low,5_day_high,5_day_low,6_day_high,6_day_low,7_day_high,7_day_low,8_day_high,8_day_low,9_day_high,9_day_low,10_day_high,10_day_low,11_day_high,11_day_low,12_day_high,12_day_low,13_day_high,13_day_low,14_day_high,14_day_low,21_day_high,21_day_low,30_day_high,30_day_low,60_day_high,60_day_low,90_day_high,90_day_low,180_day_high,180_day_low,365_day_high,365_day_low,730_day_high,730_day_low,1095_day_high,1095_day_low,1460_day_high,1460_day_low,1825_day_high,1825_day_low,3650_day_high,3650_day_low,moving_average_03,moving_average_04,moving_average_05,moving_average_06,moving_average_07,moving_average_08,moving_average_09,moving_average_10,moving_average_11,moving_average_12,moving_average_13,moving_average_14,moving_average_21,moving_average_30,moving_average_40,moving_average_50,moving_average_60,moving_average_100,moving_average_200,moving_average_300,volume_trend_03d,volume_trend_04d,volume_trend_05d,volume_trend_06d,volume_trend_07d,volume_trend_08d,volume_trend_09d,volume_trend_10d,volume_trend_11d,volume_trend_12d,volume_trend_13d,volume_trend_14d,volume_trend_21d,volume_trend_30d,volume_trend_40d,volume_trend_50d,volume_trend_60d,volume_trend_90d,atr_2d,atr_3d,atr_4d,atr_5d,atr_6d,atr_7d,atr_8d,atr_9d,atr_10d,atr_11d,atr_12d,atr_13d,atr_14d,atr_21,atr_30d,atr_60d,atr_90d,atr_180d,eps,pe_ratio,dividend_yield'''

Features

Analyzes historical data of selected stocks. Evaluates time-series performance for each stock in the watchlist. Allows customization of the watchlist based on user preferences. Saves reports automatically for user convenience.

Setup

Requirements Python 3.11 pip

Installation Steps

Clone or download the script to your local system. Install necessary dependencies: pip install -r requirements.txt

Configuration

Define your stock watchlist in an environment variable USER_STOCK_WATCH_LIST, formatted as a comma-separated list of stock symbols.

Execution

Run the script from your command line within the script's directory.

Output

Reports are saved in a designated directory, typically app_generated_files within the project structure, with timestamps for easy reference.

For more information on usage and customization, refer to the inline comments within the script.