Hands-On AI Trading with Python, QuantConnect, and AWS
Applied machine learning and generative AI techniques for real world algorithmic trading systems
Created by Wiley and Sons, Philip Sun, Ernest Chan and 3 more
Explore how AI and machine learning can transform algorithmic trading by working directly with Python, QuantConnect, and AWS. Learn to design real trading strategies that use modern AI techniques for research, execution, and risk management. Focus on practical, hands-on skills that you can apply to real-world trading challenges.
Wiley | Jun 2026 | 416 min
What You Will Learn
You will start by understanding the basics of capital markets and quantitative trading. Step by step, you will define trading problems, prepare datasets, and select models for prediction and classification. Through hands-on projects, you will use classical machine learning, deep learning, and reinforcement learning, all implemented with QuantConnect and AWS. Each skill builds on the last, helping you create robust, adaptive trading systems.
Key Features
- Create AI-driven trading strategies using real market data and Python tools
- Apply machine learning and deep learning for forecasting and alpha generation
- Integrate large language models and cloud workflows for advanced trading research
Target Audience
Perfect for quantitative traders, data scientists, and finance professionals who want to apply AI to real trading problems. If you are comfortable with Python and have a basic grasp of financial markets and statistics, you will benefit most. Prior experience with machine learning is helpful but not required, as the focus is on practical application rather than advanced theory.
