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A modular stock prediction framework combining time series models and modern ML techniques. Supports custom pipelines for feature engineering (lag features, technical indicators), model training (ARIMA, XGBoost, LSTM), and walk-forward backtesting with performance metrics like Sharpe ratio, MSE, and cumulative return. Currently under development.

Creat2025-02-10T21:40:25
Update2025-07-07T15:35:16
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