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Quantitative Trading: How to Build Your Own Algorithmic Trading Business, Revised Edition
Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field
In the newly revised Second Edition of Quantitative How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.
You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well
Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.
In the newly revised Second Edition of Quantitative How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.
You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well
Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.
245 pages, Kindle Edition
Published February 25, 2026
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Displaying 1 - 1 of 1 review
September 26, 2026
Quantitative Trading is a fascinating and practical introduction to the world of systematic and algorithmic trading. What I appreciated most is the book's emphasis on turning trading ideas into structured, testable strategies rather than relying purely on intuition or emotion.
The book provides a useful overview of the key concepts involved in quantitative trading, including strategy development, statistical thinking, risk management, backtesting, and the practical challenges of running a systematic trading operation. The material encourages readers to think carefully about whether a trading idea actually has evidence behind it before putting capital at risk.
I particularly enjoyed the discussion of the process behind developing a strategy. The focus on research, testing, discipline, and continuous improvement makes the subject feel much more grounded than the usual promises surrounding automated trading.
The revised edition is also valuable for readers who want a modern perspective on the field and the realities of building a quantitative trading business. It doesn't make the process sound effortless, which is one of its strengths. Instead, it highlights the importance of preparation, technical knowledge, realistic expectations, and sound risk controls.
Whether you're an aspiring quantitative trader, a finance professional, or simply curious about how algorithmic trading works, this book offers plenty of useful ideas and concepts to explore.
Clear, informative, and thought-provoking, with a strong practical focus. Five stars.
The book provides a useful overview of the key concepts involved in quantitative trading, including strategy development, statistical thinking, risk management, backtesting, and the practical challenges of running a systematic trading operation. The material encourages readers to think carefully about whether a trading idea actually has evidence behind it before putting capital at risk.
I particularly enjoyed the discussion of the process behind developing a strategy. The focus on research, testing, discipline, and continuous improvement makes the subject feel much more grounded than the usual promises surrounding automated trading.
The revised edition is also valuable for readers who want a modern perspective on the field and the realities of building a quantitative trading business. It doesn't make the process sound effortless, which is one of its strengths. Instead, it highlights the importance of preparation, technical knowledge, realistic expectations, and sound risk controls.
Whether you're an aspiring quantitative trader, a finance professional, or simply curious about how algorithmic trading works, this book offers plenty of useful ideas and concepts to explore.
Clear, informative, and thought-provoking, with a strong practical focus. Five stars.
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Displaying 1 - 1 of 1 review