Macro trading signal optimization: basic statistical learning methods

Jupyter Notebook A key task of macro strategy development is condensing candidate factors into a single positioning signal. Statistical learning offers methods for selecting factors, combining them to a return prediction, and classifying the market state. These methods efficiently incorporate diverse information sets and allow running realistic backtests. This post applies sequential statistical learning to […]