ml-quant-trading good first issues (Python)

Add a cross-market public-data validation target about 1 month ago

enhancement help wanted reproducibility public data

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Pairing invitation: co-author a public-data validation or benchmark PR about 1 month ago

help wanted good first issue community benchmark reproducibility public data pairing

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Collect community CPU/GPU benchmark results about 1 month ago

good first issue community benchmark reproducibility performance

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Release artifacts (models, dataset) on Hugging Face 3 months ago

enhancement help wanted reproducibility

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Add an ETF or larger-universe public-data reproduction 4 months ago

help wanted good first issue case study reproducibility public data

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Improve first-run onboarding from Start Here feedback 4 months ago

documentation good first issue community

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Update benchmark board with first real machine result 4 months ago

documentation good first issue benchmark

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Add a second public-data factor IC case study 4 months ago

documentation good first issue case study

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

Benchmark tensor factor computation on CPU and GPU 4 months ago

enhancement help wanted

initial-d/ml-quant-trading

30

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction

Python

#a-shares#algorithmic-trading#alpha-factors#backtesting#china-stock-market#cross-sectional#data-augmentation#deep-learning#factor-investing#gpu-computing#machine-learning#markowitz#multi-factor-model#portfolio-optimization#pytorch#quant#quantitative-finance#quantitative-trading#stock-prediction#transformer

initial-d/ml-quant-trading

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