Mastering Quant Trading: Data, Bots, and the New Rules of the Market

Quantitative trading promises machine-driven profits, but the reality is far messier — and far more fascinating. In this clear-eyed guide, Nathan Cole Reeve peels back the marketing hype to reveal how AI, algorithmic bots, and data science actually work inside today's markets. You'll learn how quantitative strategies are designed, why most fail, and what separates a disciplined systematic approach from a get-rich-quick scheme. With no finance background required, this book walks you through the real toolkit: from cleaning messy market data and building robust backtests to deploying machine learning models that respect the limits of prediction. Every chapter stresses the uncomfortable truths — most algo traders lose money, past performance never guarantees future results, and leverage can wipe out your account overnight. Whether you're a curious programmer, a self-taught trader, or someone who simply wants to understand the bots shaping global markets, this book gives you the honest foundation you need. No promises. No guarantees. Just the new rules. Part of The AI Trading Library.

About the author

Nathan Cole Reeve writes for The AI Trading Library.

© 2026 PublishDrive (E-bog): 6610001405700

Udgivelsesdato

E-bog: 29. september 2026