Abstract
Recent criticisms suggest that Machine Learning‐based approaches only suite predicting very short‐term price movements. Tony Guida and Guillaume Coqueret apply well‐known ML algorithms to systematic equity investment, presenting a methodology which shows a critical stage of feature and label engineering, a stet that helps uncover hidden structures in the equity market space. Only then, the authors argue, can a modern quantitative approach make accurate long‐term predictions.