Description
Artificial intelligence and algorithmic trading are transforming the financial markets. Hands-On AI Trading provides a practical roadmap for traders, developers, and data enthusiasts who want to build intelligent trading systems using modern tools and cloud infrastructure.
This book takes a hands-on approach, guiding you through the process of creating AI-driven trading strategies using Python, implementing them on the QuantConnect algorithmic trading platform, and deploying scalable solutions using AWS.
You will learn how to combine data science, machine learning, and automated trading techniques to develop smarter strategies and test them in real-world market environments.
Inside the book, you’ll discover:
• How to build AI-driven trading models using Python
• Techniques for collecting and analyzing financial market data
• How to backtest strategies using QuantConnect’s powerful framework
• Methods for optimizing trading algorithms with machine learning
• Deploying and scaling trading systems with AWS cloud infrastructure
• Best practices for managing risk in automated trading systems
Whether you’re a developer exploring financial AI, a trader interested in automation, or a data scientist entering the world of quantitative finance, this guide will equip you with the tools and knowledge needed to build intelligent trading systems from the ground up.
Harness the power of AI, automation, and cloud computing to trade smarter in modern financial markets.
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