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Business, Finance & HR · NumPy · For data scientists

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1

Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals.

HKUDS/Vibe-Trading35k—~3.2kAutomated safety check: PassMITtoday
2

Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module.

HKUDS/Vibe-Trading35k—~4kAutomated safety check: PassMITtoday
3

Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals.

HKUDS/Vibe-Trading35k—~10kAutomated safety check: PassMITtoday