This article delves into statistical arbitrage as a quantitative trading strategy in cryptocurrency markets, exploring its strategies, examples, and inherent risks. It provides insights into how statistical models and algorithms identify price inefficiencies for strategic profit-making. Readers will gain an understanding of various arbing strategies like pair trading, mean reversion, and high-frequency trading, alongside examples from cryptocurrencies. The article addresses issues like model, market, and liquidity risks, emphasizing the need for advanced technology and market knowledge. Designed for traders and finance professionals, the content offers a comprehensive yet concise guide to statistical arbitrage in crypto.