In a world where trading bots promise effortless wealth, The Automated Trading Playbook cuts through the noise to show you what AI can—and cannot—do in financial markets. This book is not a get-rich-quick scheme but a grounded, educational guide to building, testing, and managing algorithmic trading systems. You'll learn the fundamentals of machine learning for price prediction, how to backtest strategies without fooling yourself, and how to deploy automated systems with a clear-eyed understanding of risk. From choosing data sources to handling slippage, from overfitting to market regime changes, every chapter prepares you to trade smarter—not harder—by leveraging AI responsibly. Whether you're a curious beginner or a developer exploring quant finance, this playbook will help you ask the right questions, avoid common pitfalls, and build a toolkit that prioritizes survival over hype. Part of The AI Trading Library.