Description
Applications of Computational Intelligence in Data-Driven Trading by Cris Doloc is a professional-level guide to using machine learning, AI, and algorithmic methods in modern financial markets. Published by Wiley, this hardcover volume explains how to build data-driven trading models, integrate alternative data, and apply computational intelligence techniques to strategy design, risk management, and portfolio construction. Ideal for quants, traders, and advanced students who want a deeper, practical look at how AI and data science are reshaping trading in real-world environments.
Overview:
Applications of Computational Intelligence in Data-Driven Trading by Cris Doloc is a professional handbook on how to apply modern AI and machine learning techniques to financial markets. The author walks through the full data-driven trading pipeline—from collecting and preparing data, to building and validating models, to integrating those models into live trading and risk management workflows.
- Author: Cris Doloc
- Title: Applications of Computational Intelligence in Data-Driven Trading
- Publisher: Wiley
- Format: Hardcover book
- UPC / ISBN-13: 9781119550501
- Subject: Quantitative finance, algorithmic trading, machine learning, data science
This is an excellent reference for quantitative traders, data scientists, and advanced finance or computer science students who want to explore practical, real-world applications of computational intelligence in trading and investing.
Condition
Book is considered to be in very strict (Factory New) unread condition. Dust cover has some minor scuffs and scratches. Book is otherwise in excellent shape as depicted in the photos. All items come from a pet‑free and smoke‑free, environmentally controlled facility.
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