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data-driven-trading

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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.

  • Updated Jul 22, 2025
  • Python

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