Kniha High-performance Algorithmic Trading using Machine Learning Franck Bardol

High-performance Algorithmic Trading using Machine Learning

Autor: Franck Bardol
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: BPB Publications
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
876
This book is a practitioner’s blueprint for building production-grade ML trading systems from scratc...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2025
Stránek
342
EAN
9789365893892
ISBN
9365893895
Enbook ID
49267457
Vydavatel
Hmotnost
640
Rozměry
191 x 235 x 18

Kompletní popis

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.

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