代码库
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).
Jupyter Notebook
alpha-factorsbacktestingdeep-learningfactor-modelingfeature-selectionlstmmachine-learningpytorchtransformer