Books Hands-On AI Trading with Python, QuantConnect, and AWS by Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh

"Hands-On AI Trading with Python, QuantConnect, and AWS" is a practical guide for traders, quants, and finance professionals who want to build and deploy AI-driven algorithmic trading strategies. The book stands out by focusing directly on real-world trading strategies—with step-by-step code examples—rather than only on infrastructure or backtesting setup. Readers gain hands-on experience applying a broad spectrum of machine learning and AI methods to live market scenarios using Python, QuantConnect, and AWS.

Key aspects include:

Strategy Implementation: The book presents 19 fully developed strategies, ranging from machine learning trend scanning and volatility regime prediction to event-driven trading and clustering-based stock selection.

Diverse AI Techniques: It covers regression models, decision tree regressors, hidden Markov models, clustering, neural networks (including CNNs), sentiment analysis with large language models, and reinforcement learning for hedging.

QuantConnect & Python: Each example leverages QuantConnect’s cloud-based research and trading platform with foundational and advanced AI packages like SKLearn, MLFinLab, LightGBM, TensorFlow, and PyTorch.

Workflow & Tools: Readers learn how to reduce dimensionality with PCA, predict returns with classifiers, detect market patterns with deep learning, and optimize portfolios using AI-enhanced forecasting and risk controls.

Practical Code: All strategies include tested Python code, performance tearsheets, and detailed explanations—accessible via a public GitHub repository for seamless experimentation and adaptation.

Expert Authorship: The authors include Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, who collectively bring deep expertise in AI, quant research, and software engineering.

The book is suitable for professionals and motivated learners who want actionable, AI-powered tools and methodologies to innovate and optimize in real trading environments.