Meta-Labeling: Theory and Framework

Join our reading group! https://hudsonthames.org/reading-group/ Meta-labeling is a machine learning (ML) layer that sits on top of a base primary strategy to help size positions, filter out false-positive signals, and improve metrics such as the Sharpe ratio and maximum drawdown.