AIAlpha implements stacked neural networks for predicting stock returns by extracting features from financial data, reducing dimensionality with autoencoders, and using both LSTM regression and Random Forest classification to forecast market direction. The workflow follows Marcos Lopez de Prado’s approach in Advances in Financial Machine Learning, involving feature engineering and model stacking.