Book Review: Python for Algorithmic Trading Cookbook

Book Review: Python for Algorithmic Trading Cookbook Amazon Packt Code on GitHub I was offered to read Python for Algorithmic Trading Cookbook by Jason Strimpel in exchange for an honest review. This book is a cookbook of 68 recipes that show you how to go from sourcing market data to placing orders through a broker, and it does it with professional tools. I liked the attention to lookahead bias and out-of-sample testing runs through the entire book. And it was especially interesting to see examples of using Interactive Brokers API, as I wanted to do something similar since a couple of months ago. The overall structure flowchart TB D["Data (Ch 1-4)<br/>acquire with OpenBB and FMP,<br/>transform with pandas,<br/>accelerate with Polars/DuckDB,<br/>visualize with Matplotlib/Seaborn/Dash"] R["Research (Ch 5-7)<br/>ArcticDB research database,<br/>AI and agentic workflows (LangChain,<br/>LlamaIndex, Claude), alpha factors<br/>with PCA and Fama-French"] B["Backtest and evaluate (Ch…