Quant Learning

Various resources for learning quantitative finance, trading, and machine learning.

1. Initialise a new project with uv init $PROJECT_NAME
2. cd $PROJECT_NAME into the project folder
3. Activate the virtual environment with source .venv/bin/activate
4. Install the necessary dependencies, e.g.:

uv add jupyter pandas matplotlib numpy yfinance polars python-dotenv

1. Create a new folder for the project and cd into it
2. Create a new virtual environment:

pipenv install jupyter pandas polars python-dotenv matplotlib numpy yfinance

3. Run pipenv shell to activate the virtual environment
4. Create a new .env file and add the necessary variables, if necessary
5. Run jupyter notebook --no-browser to start the Jupyter notebook server