Algorithmic Trading 2: Mean Reversion Strategies

What this episode covers

This episode details various quantitative trading strategies, focusing on mean reversion. It explores backtesting methodologies, highlighting common pitfalls like data-snooping and survivorship bias, and offering guidance on choosing appropriate platforms. The text then examines mean reversion in different asset classes—currencies, futures, and stocks—presenting statistical tests for identifying mean-reverting series and outlining practical trading strategies, including Bollinger Bands and Kalman filtering techniques. Finally, it addresses the challenges of implementing these strategies, particularly data errors and short-sale constraints.

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