Crypto markets never sleep, and they punish the unprepared. This book strips away the hype to show you how machine learning can help you navigate volatility, but only if you respect the risks. You will learn to gather and clean data, engineer features that capture market microstructure, and build models that adapt—not predict the future. Through realistic case studies and honest warnings, you will discover why most algorithmic traders lose money, why past performance means nothing, and why you should never risk more than you can afford to lose. From simple classifiers to reinforcement learning agents, each chapter builds your understanding without promising easy profits. You will also confront the ethical and regulatory minefield of automated trading and the prevalence of scams. This is a book for the curious, the skeptical, and the disciplined—those who want to use AI as a tool, not a magic wand. Part of The AI Crypto Library.