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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Transformer Models and LLMs for Quantitative Trading: Fine-Tuning for Market Sentiment, Prediction, and Automated Strategies with Python

Transformer Models and LLMs for Quantitative Trading: Fine-Tuning for Market Sentiment, Prediction, and Automated Strategies with Python

Paperback

Investing & Finance

Currently unavailable to order

ISBN13: 9798185518403
Publisher: Independently Published
Pages: 566
Weight: 1.49
Height: 1.40 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Discover how Transformer models and Large Language Models (LLMs) are transforming quantitative trading. This practical guide explores the application of modern AI techniques to financial markets, with a strong emphasis on implementation using Python.

You'll learn the fundamentals of Transformer architectures and how to fine-tune LLMs for key trading tasks, including sentiment analysis from news and social data, market prediction models, and the development of systematic trading strategies. The book covers essential concepts in multimodal data handling and automated workflow design, bridging the gap between cutting-edge AI research and real-world quant applications.

Also from

Schwartz, Alice

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Investing & Finance