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

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

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.