Generative AI for Trading : Building Synthetic Data, Market Simulations, and Alpha Signals with LLMs and GANs: Quant Finance with Synthetic Data, GANs,
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9798262461554
- ISBN-10: 9798262461554
- Publisher: Independently Published
- Publish Date: August 2025
- Dimensions: 9 x 6 x 1.51 inches
- Shipping Weight: 1.6 pounds
- Page Count: 610
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