You might also like

More about High-performance Algorithmic Trading using Machine Learning

• Book details
• Synopsis
• Trending among others

You get 90 loyalty points

Book synopsis

This book is a practitioner’s blueprint for building production-grade ML trading systems from scratch. It goes far beyond basic return-sign classification tasks, which often fail in live markets, and delivers field-tested techniques used inside elite quant desks. It covers everything from the fundamentals of systematic trading and ML''s role in detecting patterns to data preparation, backtesting, and model lifecycle management using Python libraries. You will learn to implement supervised learning for advanced feature engineering and sophisticated ML models. You will also learn to use unsupervised learning for pattern detection, apply ultra-fast pattern matching to chartist strategies, and extract crucial trading signals from unstructured news and financial reports. Finally, you will be able to implement anomaly detection and association rules for comprehensive insights.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Datenkommunikation, Netzwerke

• Full title: High-performance Algorithmic Trading using Machine Learning
• Author: Franck Bardol
• Language: English
• Binding: Paperback
• Number of pages: 342
• EAN: 9789365893892
• ISBN: 9365893895
• ID: 49267457
• Publisher: BPB Publications
• Weight: 640 g
• Dimensions: 235 × 191 × 18 mm
• Date of publishing: 30. June 2025

Trending among others

---

---

---