| ML-Alpha-Research-System/ | |
| β | |
| βββ data_pipeline/ | |
| β βββ load_data.py | |
| β βββ clean_data.py | |
| β βββ build_dataset.py | |
| β | |
| βββ factor_engine/ | |
| β βββ alpha101_factors.py | |
| β βββ gp_factor_mining.py | |
| β βββ neutralization.py | |
| β βββ factor_evaluation.py | |
| β | |
| βββ models/ | |
| β βββ lightgbm_model.py | |
| β βββ xgboost_model.py | |
| β βββ mlp_model.py | |
| β βββ ensemble.py | |
| β | |
| βββ backtest/ | |
| β βββ portfolio_construction.py | |
| β βββ transaction_cost.py | |
| β βββ performance_metrics.py | |
| β βββ backtest_engine.py | |
| β | |
| βββ reports/ | |
| β βββ factor_report.ipynb | |
| β βββ model_report.ipynb | |
| β βββ backtest_report.ipynb | |
| β | |
| βββ README.md | |
| βββ requirements.txt | |
| qlibζ‘ζΆ | |
| quantalpha ζ‘ζΆ | |