quant_test / models /Readme.md
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ML-Alpha-Research-System/
β”‚
β”œβ”€β”€ data_pipeline/
β”‚ β”œβ”€β”€ load_data.py
β”‚ β”œβ”€β”€ clean_data.py
β”‚ └── build_dataset.py
β”‚
β”œβ”€β”€ factor_engine/
β”‚ β”œβ”€β”€ alpha101_factors.py
β”‚ β”œβ”€β”€ gp_factor_mining.py
β”‚ β”œβ”€β”€ neutralization.py
β”‚ └── factor_evaluation.py
β”‚
β”œβ”€β”€ models/
β”‚ β”œβ”€β”€ lightgbm_model.py
β”‚ β”œβ”€β”€ xgboost_model.py
β”‚ β”œβ”€β”€ mlp_model.py
β”‚ └── ensemble.py
β”‚
β”œβ”€β”€ backtest/
β”‚ β”œβ”€β”€ portfolio_construction.py
β”‚ β”œβ”€β”€ transaction_cost.py
β”‚ β”œβ”€β”€ performance_metrics.py
β”‚ └── backtest_engine.py
β”‚
β”œβ”€β”€ reports/
β”‚ β”œβ”€β”€ factor_report.ipynb
β”‚ β”œβ”€β”€ model_report.ipynb
β”‚ └── backtest_report.ipynb
β”‚
β”œβ”€β”€ README.md
└── requirements.txt
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