Algorithmic Trading with Python: Quantitative Methods and Strategy Development: 1

It seems most algorithmic trading books either fall in the beginner or the expert category, while there is nothing in between for the intermediate/advance category. If you already have experience with algorithmic trading in python and Scikit Learn, then this book will not bring much value to you.

Author has clear expository style demonstrating good knowledge of the subject matter, esp. statistical methods, along with a strong point of view based upon experience. This book looks quite presentable, likely having been prepared using a technical publishing package, so the equations are well formatted and python code readily distinguishable from the text. Usage of full sized pages provides plenty of space for comfortable layout of code and graphs. Could benefit from an Index and Glossary. GitHub repository available for code samples, where author encourages discussion.

Good

This book is extremely detailed and provides tons of information regarding trading with Python. Many reviews claim that there are additional purchases, but that is not true. At the beginning of the book, there is a link to a GitHub repository that has tons of test data as well as already functional programs that are extremely helpful in further understanding the information in the book.

Great addition to the library in terms of perspectives and approaches to algo trading. Code actually works and serves as a nice introduction to Python through a trading lens. I was concerned after reading another Amazon review that said that this book required a premium Python package. However, this turned out NOT to be the case as everything was in the GitHub. A++++