Summaries of 1 book by Ernest P. Chan, available in English. Read AI-generated key ideas and takeaways, or generate your own.
1 SummaryAmerican
Ernest P. Chan is a quantitative trader, author, and consultant specializing in algorithmic trading and machine learning applications in finance. Born in Hong Kong in 1961, he later pursued his higher education in the United States, earning a Ph.D. in theoretical physics from Cornell University. His early career included research roles at IBM's T.J. Watson Research Center. Chan transitioned into finance, working at major institutions such as Morgan Stanley and Credit Suisse, where he developed and implemented quantitative trading strategies. In 2008, he founded QTS Capital Management, LLC, a commodity pool operator and trading advisor. Through his firm, he applies systematic, data-driven approaches to financial markets. Chan is widely recognized for his contributions to the field through his published works, which provide practical guidance on developing and deploying algorithmic trading systems. His books cover topics ranging from strategy development and backtesting to risk management and the use of machine learning in trading.
Notable works: Algorithmic Trading: Winning Strategies and Their Rationale, Quantitative Trading: How to Build Your Own Algorithmic Trading Business, Machine Trading: Deploying Computer Algorithms to Conquer the Markets