Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).
machine-learning deep-learning pytorch feature-selection transformer lstm backtesting alpha-factors factor-modeling
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Updated
Aug 22, 2025 - Jupyter Notebook