Building and Backtesting ML Investment Strategies

This technical workshop explores the construction of ML-based investment strategies using fundamental data. Participants will implement the full pipeline, from feature engineering to realistic backtesting, with the open-source library qf-lib. The session addresses practical challenges such as data lag alignment, universe selection and mitigating look-ahead bias.