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LearnFlat · Trading, Investing & Money · Algorithmic & Quantitative Trading

Statistical Arbitrage Strategies

Explore and implement statistical arbitrage strategies such as pairs trading, mean-reversion, and cointegration analysis to exploit market inefficiencies.

4 courses

Trendline Analysis for Stock Market Investing

Master the fundamentals of drawing and analyzing trendlines to identify market directions and make structured trading decisions.

Foundations of Statistical Arbitrage: Pairs Trading and Mean Reversion

Build a clear mental model of how statistical arbitrage works — cointegration, mean reversion, Z-score signals, and the statistical assumptions that make or break these strategies.

Statistical Arbitrage in Practice: Building and Testing Pairs Strategies

Work through the full pipeline of a pairs trading strategy — from pair selection and spread construction to signal generation, backtesting, and transaction cost analysis.

Applied Statistical Arbitrage: Scaling Strategies and Managing Relationship Decay

Address the real long-term challenges of statistical arbitrage — relationship decay, regime shifts, expanding to multiple pairs, and building a sustainable execution framework.