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2026·QUANT / AI / ML

Pairs Trader

Modular statistical arbitrage engine for NSE equities. Cointegration-based pair selection (Engle-Granger plus PCA/DBSCAN clustering), a rolling-OLS or Kalman-filter spread model, z-score or XGBoost-gated signals, and a bar-by-bar backtester with transaction costs — exposed via CLI, an interactive TUI, and a set of guided notebooks, backed by 112 tests.

YEAR
2026
DOMAIN
QUANT / AI / ML
STACK
PythonCointegrationKalman FilterXGBoostStatistical Arbitrage
ACTIVITY
7 COMMITS · JUL 2026