Generative AI for Trading: Building Synthetic Data, Market Simulations, and Alpha Signals with LLMs and GANs: Quant Finance with Synthetic Data, GANs,

By James Preston and Danny Munrow

Reactive Publishing

Harness the cutting edge of artificial intelligence to revolutionize your trading strategies.

Generative AI for Trading is a groundbreaking guide that bridges the gap between advanced machine learning models and real-world financial applications. This premium volume shows traders, quants, and AI enthusiasts how to use Generative Adversarial Networks (GANs), Large Language Models (LLMs), and synthetic data pipelines to create next-generation trading systems.

Inside, you'll discover how to:

Generate synthetic financial datasets to overcome data scarcity and bias.

Build market simulations that mirror real-world complexity for robust backtesting.

Engineer alpha-generating signals with GANs, diffusion models, and transformer-based LLMs.

Integrate generative AI into risk management, portfolio optimization, and options trading.

Deploy scalable Python frameworks for end-to-end trading research and automation.

With practical coding examples, step-by-step frameworks, and strategic insights, this book equips you to go beyond conventional algorithms and tap into the creative power of generative AI.

Whether you are a quant developer, algorithmic trader, or researcher, Generative AI for Trading will give you the tools to stay ahead in the evolving landscape of global markets.

• Format: Paperback
• Language: English
• ISBN: B0FNWH8H13
• ISBN13: 9798262461554
• Release Date: August 2025
• Publisher: Independently Published
• Length: 618 Pages
• Weight: 1.80 lbs.
• Dimensions: 1.3" x 6.0" x 9.0"