Comprehensive Review of Python for Algorithmic Trading Cookbook by Brian Schneider

We are pleased to share a comprehensive review of Python for Algorithmic Trading Cookbook, published by Packt Publishing, and written by Brian Schneider. This review offers an in-depth exploration of the book's key themes and insights, providing readers with a thorough understanding of its value.

Please find the review below:

1.  The most valuable aspect of the book is its comprehensive aggregation of financial theory and Python to enable the reader with skills and tools to implement algorithmic trading systems.  The book saves the reader countless hours of research and coding by providing the latest tools, financial theory, and coding steps all in one place.  This gives the reader a tremendous head start on their algorithmic trading journey.   

2.  The book is unique in that it includes cutting-edge Python modules to provide readers with instant results, as opposed to delving too deep into theory and code.  Many books in this area, generally do not provide this well-balanced approach, including detailed instructions for the reader to implement their own strategies with broker APIs.  The book streamlines the trading strategy evaluation process, arming the reader with valuable skills and tools to identify their best ideas quickly; while providing a solid balance of both quantitative finance theory and Python. 

3.  This book is a true 'how-to' for algorithmic trading practitioners and enthusiasts alike.  The book provides seasoned or novice traders the needed steps to go from trading ideas, to code implementation - with no Pythonic syntax left out!  I wish I had a book like this when I started. 

4.  I was fortunate to have worked with Jason on automated investment strategies in the past and his insight and clarity are unmatched.  The algorithmic strategies we developed overlap with topics in the book, however, Jason has splendidly pulled together the complete end-to-end recipe!   Equally impressive, is the amount of research Jason has put into finding the latest tools in the Python universe to save the reader time.  The book was a pleasure to read  

5.  I am most impressed with the book's comprehensive coverage of the subject matter.  The book details critical steps needed to enable an algorithmic trading strategy, without the reader losing sleep at night.   The book doesn't dive too deep into theory and math with many readers having that background, conversely, it provides readers with theoretical justifications and how to implement them efficiently. 

Reviewer Bio

Brian Schneider holds a Bachelor of Science degree in electrical engineering and a Master of Science in financial engineering. He has 25 years of experience in systems engineering, software design and architecture, algorithm performance, data science, and analytics. He has a passion for financial markets and automating algorithmic trading systems and co-founded an investment management company in that space.