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

Author:   Danny Munrow ,  James Preston
Publisher:   Independently Published
Volume:   6
ISBN:  

9798262461554


Pages:   618
Publication Date:   27 August 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Generative AI for Trading: Building Synthetic Data, Market Simulations, and Alpha Signals with LLMs and GANs: Quant Finance with Synthetic Data, GANs, and Large Language Models for Trading


Overview

Reactive PublishingHarness 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.

Full Product Details

Author:   Danny Munrow ,  James Preston
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   6
Dimensions:   Width: 15.20cm , Height: 3.20cm , Length: 22.90cm
Weight:   0.816kg
ISBN:  

9798262461554


Pages:   618
Publication Date:   27 August 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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