The AI Portfolio Management Playbook: Build, Backtest, and Automate Winning Strategies

Artificial intelligence promises to revolutionize portfolio management, but separating hype from reality is critical. This playbook offers a clear, step-by-step guide to designing, backtesting, and automating AI-powered trading strategies—without promising easy riches. You'll learn how machine learning models can analyze market data, identify patterns, and execute trades, but also understand the pitfalls: overfitting, data snooping, and the harsh truth that most algorithmic strategies fail. From building your first momentum-based bot to implementing risk controls and evaluating performance, this book equips you with practical knowledge. Whether you're a curious developer or a self-directed investor, you'll gain the tools to think critically about AI in markets. Remember: past performance never guarantees future results, and leverage can magnify losses. This is education, not advice. Only risk what you can afford to lose. Part of The AI Trading Library.

About the author

Grace Lin Mercer writes for The AI Trading Library.

© 2026 PublishDrive (E-bog): 6610001416980

Udgivelsesdato

E-bog: 29. september 2026