- Clone this repo.
- Set up a virtual environment:
python -m vevnv env - Activate the virtual environemnt:
source env/bin/activate - Install the dependencies (spyder-kernels, yfinance, matplotlib, seaborn):
pip install -r requirements.txt - Install the environment inside Jupyter:
ipython kernel install --user --name=env
- Check out get_signals.py
- Check out the Jupyter Notebook chart_results.ipynb