Description

Machine learning is not just an advantage; it is becoming standard practice among top-performing trading firms. As traditional strategies struggle to navigate noise, complexity, and speed, ML-powered systems extract alpha by identifying transient patterns beyond human reach. This shift is transforming how hedge funds, quant teams, and algorithmic platforms operate, and now, these same capabilities are available to advanced practitioners.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. By the end of this book, you will be ready to design, test, and deploy intelligent trading strategies to institutional standards.WHAT YOU WILL LEARN¿ Build end-to-end machine learning pipelines for trading systems.¿ Apply unsupervised learning to detect anomalies and regime shifts.¿ Extract alpha signals from financial text using modern NLP.¿ Use AutoML to optimize features, models, and parameters.¿ Design fast pattern detectors from signal processing techniques.WHO THIS BOOK IS FORThis book is for robo traders, algorithmic traders, hedge fund managers, portfolio managers, Python developers, engineers, and analysts who want to understand, master, and integrate machine learning into trading strategies. Readers should understand basic automated trading concepts and have some beginner experience writing Python code.

Langue

en

Version

Broché

Date de sortie initiale

30 juin 2025

Nombre de pages

340

Personnes impliquées

Auteur principal

Franck Bardol

Editeur principal

Bpb Publications

Informations sur le fabricant

Nom du fabricant

Mare Nostrum Group B.V.

Adresse électronique du fabricant

gpsr@mare-nostrum.co.uk

Informations sur le fabricant

Les autres informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage

18 mm

Hauteur du produit

18 cm

Largeur d’emballage

191 mm

Largeur du produit

191 mm

Livre d‘étude

Non

Longueur d’emballage

235 mm

Longueur du produit

235 mm

Poids de l’emballage

540 g

EAN

EAN

9789365893892

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Ordinateurs et Informatique

Livres

Livre, ebook ou livre audio ?

Livre

Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Paperback