The Data-Driven Trading Playbook: Risk, Reward, and the Machine-Powered Portfolio

This is not another book promising effortless riches through AI trading bots. Instead, The Data-Driven Trading Playbook is a clear-eyed, practical guide to understanding how machine learning and automation actually work in financial markets — and what they realistically can and cannot deliver. Victor Adeyemi Sloane walks you through the entire pipeline: from sourcing and cleaning data to building, backtesting, and deploying data-driven strategies. You'll learn how to design a machine-powered portfolio that respects risk, why most algorithmic traders lose money, and how to separate genuine innovation from marketing hype. Every chapter is grounded in responsible finance principles: no guaranteed returns, no secret formulas, no get-rich-quick schemes. Instead, you'll gain the questioning mindset and technical awareness needed to evaluate any automated strategy critically. Whether you are an aspiring quantitative analyst, a curious investor, or someone trying to decode the buzzwords, this book gives you the real story behind the algorithms. Part of The AI Trading Library.

About the author

Victor Adeyemi Sloane writes for The AI Trading Library.

© 2026 PublishDrive (E-bog): 6610001405175

Udgivelsesdato

E-bog: 29. september 2026