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StatArbLab is a library featuring convinient and scalable implementations of various statistical arbitrage techniques. The library utilizes vectorized backtesting and customizable brokerage fee structures. StatArbLab is designed to serve students, academics, and quantitative researchers alike.

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StatArbLab

StatArbLab is a library featuring convinient and scalable implementations of various statistical arbitrage techniques. The library utilizes vectorized backtesting with customizable brokerage fee structures. StatArbLab is designed to serve students, academics, and quantitative researchers alike.

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Pairs Trading

Distance Approach

Cointegration Approach

Kalman Filter Approach

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StatArbLab is a library featuring convinient and scalable implementations of various statistical arbitrage techniques. The library utilizes vectorized backtesting and customizable brokerage fee structures. StatArbLab is designed to serve students, academics, and quantitative researchers alike.

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