Python for Quant Finance: Building Financial Models and Trading Algorithms

by Steven Johnson

"Python for Quant Building Financial Models and Trading Algorithms" is a comprehensive guide designed to bridge the gap between finance theory and practical application. This book offers a unique blend of financial principles and Python programming, making complex quantitative finance concepts accessible to both beginners and experienced professionals. From handling financial data and conducting time series analysis to mastering portfolio optimization and algorithmic trading, this book covers the essential tools and techniques needed to excel in the fast-paced world of modern finance.

Leverage the power of Python to build robust financial models, backtest trading strategies, and integrate machine learning into your trading arsenal. Each chapter is meticulously crafted to provide a step-by-step approach, enriched with real-world examples and case studies. By the end of this book, you will have a solid foundation in quantitative finance and the practical skills to implement sophisticated trading algorithms. Whether you are an aspiring quant, a seasoned trader, or simply intrigued by the intersection of finance and technology, this book will be your indispensable resource on the path to financial mastery.

590 pages, Kindle Edition

Published September 5, 2024

About the author

Steven Johnson is the bestselling author of twelve books, including Enemy of All Mankind, Farsighted, Wonderland, How We Got to Now, Where Good Ideas Come From, The Invention of Air, The Ghost Map, and Everything Bad Is Good for You.
He's the host of the podcast American Innovations, and the host and co-creator of the PBS and BBC series How We Got to Now. Johnson lives in Marin County, California, and Brooklyn, New York, with his wife and three sons.