The Algorithmic Trading Handbook: The Beginner's Path to AI-Powered Profits

Algorithmic trading and artificial intelligence are reshaping financial markets, but the hype often obscures the hard realities. This book cuts through the noise, offering a grounded, honest guide for absolute beginners who want to understand how automated systems and AI actually work in trading—without the promised fortunes. You will learn what algorithms can and cannot do, how to design simple strategies, and how to backtest them safely. We explore machine learning basics, data sources, risk management, and the common pitfalls that cause most beginners to lose money. Every chapter stresses that most algorithmic traders lose money, that past performance never guarantees future results, and that you should only risk what you can afford to lose. Realism, not fantasy, is the core. Whether you are a curious developer, a finance enthusiast, or someone exploring automation, this book gives you the knowledge to evaluate tools and ideas critically. No get-rich-quick schemes, no secret formulas—just clear, responsible education. Part of The AI Trading Library.

About the author

Grace Lin Mercer writes for The AI Trading Library.

© 2026 PublishDrive (E-bog): 6610001409678

Udgivelsesdato

E-bog: 29. september 2026