I did this project as one of the parts from a Python test for my Master's degree. The objective was to practice the treatment of financial time series.
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Updated
Jan 11, 2023 - Jupyter Notebook
I did this project as one of the parts from a Python test for my Master's degree. The objective was to practice the treatment of financial time series.
Systematic signal refinement framework using point-in-time data, triple-barrier labeling, calibrated ML models, and probability-aware portfolio construction.
Order‑book liquidity feature engineering + SHAP analysis (XGBoost) with Triple‑Barrier labels; reads OHLCV & depth from SQLite and saves plots to docs/images.
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