This project uses neat-python and stock data from Alpha Vantage to train a model to choose whether buy, sell, or hold a stock.
Create python virtual environment python3 -m venv .env
Activate environment source .env/bin/activate
Install requirements pip install -r requirements.txt
Create secret.py with ALPHA_API_KEY="123456789XXXX"
Download stock training data with download_data.py
This may take multiple tries to download data for all tickers in config.py