Most traders lose money. Most algorithms do, too. This book does not promise to make you rich. Instead, it offers something far more valuable: a clear-eyed understanding of how quantitative trading actually works, what machines can and cannot do, and where the real risks lie. You will learn how to turn a trading idea into a testable strategy, how to avoid statistical traps that fool even experienced quants, and how to build a portfolio that balances reward with the honest possibility of loss. Through practical examples and plain language, this book demystifies machine learning, backtesting, and risk management—without the hype. Whether you are a curious beginner or a seasoned investor exploring automation, you will come away with the tools to ask the right questions, spot overconfident claims, and make informed decisions about your own money. The goal is not to beat the market, but to survive it with your capital intact. Part of The AI Trading Library.