Statistical arbitrage involves the use of mathematical models and algorithms to identify opportunities where the price of an asset deviates from its expected value based on historical relationships with other assets. Traders typically use historical data to develop models that predict price movements and generate buy/sell signals. This strategy often requires high-frequency trading and significant computational resources to take advantage of small price discrepancies before they are corrected by the market.