Price: $59.99 - $9.99
(as of May 15, 2026 13:41:30 UTC – Details)
Reactive Publishing
Discover the power of machine learning to build next-generation trading systems.
In this comprehensive guide, Vincent Bisette takes you on a hands-on journey through the core algorithms and applications of machine learning in modern quantitative finance. From the foundational principles of linear regression and support vector machines to advanced techniques in deep learning and reinforcement learning, this book bridges theory with real-world implementation. You’ll learn how to build models that adapt to market dynamics, capture alpha, and manage risk in algorithmic trading.
Whether you’re a quant, data scientist, or trader seeking to elevate your edge, this book equips you with the tools to deploy scalable, intelligent trading systems. Featuring Python examples, case studies, and system architecture blueprints, it’s a must-read for anyone serious about the future of finance.
ASIN : B0F78YKF6H
Publisher : Reactive Publishing
Accessibility : Learn more
Publication date : May 2, 2025
Edition : 5th
Language : English
File size : 826 KB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 637 pages
Page Flip : Enabled
Book 9 of 12 : Reinforcement Learning Applied
Best Sellers Rank: #2,374,011 in Kindle Store (See Top 100 in Kindle Store) #392 in Financial Engineering (Kindle Store) #697 in Algorithm Programming #717 in Financial Engineering (Books)
