Artificial intelligence and automated trading systems are transforming how markets work—but they are neither crystal balls nor guarantees of wealth. This book is a clear, honest guide for the curious beginner who wants to understand what AI trading bots actually do, how machine learning models analyze market data, and why most algorithmic traders still lose money. You will learn to separate genuine tools from hype, recognize the real risks of leverage, slippage, and overfitting, and build a realistic framework for evaluating any automated strategy. No get-rich-quick promises, no fake track records—just the knowledge to ask the right questions before risking a single dollar. Each chapter builds on the last, from understanding basic trading psychology and data fundamentals to exploring simple AI models, backtesting pitfalls, and the critical role of risk management. Whether you are a retail investor curious about market automation or a student of technology and finance, this book equips you with the skepticism and practical insight needed to engage with algorithmic trading responsibly. Part of The AI Trading Library.