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day-ahead

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Energy market backtesting framework for European power trading. Purpose-built for DA auctions and intraday continuous markets with 15-minute MTU support. Write once, run in backtest, paper, and live modes without code changes.

  • Updated Apr 22, 2026
  • Jupyter Notebook

A TensorFlow LSTM that beats Germany's official day-ahead electricity-demand forecast by 21.5%. Backtested on 70 delivery dates with leakage-safe feature pipeline, automated multi-source data refresh, and reproducible end-to-end pipeline. Portfolio project — built milestone-by-milestone with verification gates.

  • Updated May 5, 2026
  • Jupyter Notebook

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