PyTorch research stack for ML multi-factor trading: 213 factors, bias correction, portfolio optimization, and vectorized backtesting.
Last updated Jul 6, 2026
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Topics
#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#multi-factor-model#portfolio-optimization#pytorch#quantitative-finance#quantitative-trading#reproducibility#research-software#stock-prediction#transformer
Language breakdown
Python 89.9%
Shell 5.4%
C++ 2.5%
Jupyter Notebook 1.4%
C 0.5%
Makefile 0.2%
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