Beyond Black Boxes: An Energy-Based Unified Framework for Interpretable Stock Selection
Quantitative stock selection from large-scale market data is critical for achieving excess returns in financial markets. A persistent challenge is tail risk, which triggers non-stationary regime shifts that invalidate learned patterns and distort portfolio logic. Despite advances in deep learning, existing approaches c...