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LLM-Powered Quantitative Finance: A Practical Guide to Building AI Agents for Trading and Risk Management
Paperback
Publisher: Independently Published
Published: Jun 30 2026
Pages: 528
Weight: 1.39
Height: 1.31 Width: 6.00 Depth: 9.00
Language: English
- Integrating real-time market data and alternative datasets
- Implementing sentiment analysis pipelines for financial decision-making
- Developing risk forecasting and portfolio management systems
- Best practices for testing, backtesting, and safely deploying autonomous AI systems in live trading environments Whether you are a quantitative analyst, developer, or finance professional interested in the intersection of artificial intelligence and capital markets, this book provides clear explanations, code examples, and architectural patterns to help you build production-ready solutions. Ideal for readers with basic knowledge of Python, machine learning concepts, and financial markets.
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