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Dr. Ernest P. Chan

Dr. Ernest P. Chan

Dr. Ernest Chan is CEO of financial machine learning firm Predictnow.ai, and an award-winning quantitative hedge fund manager and acclaimed quant finance author. He was previously a machine learning researcher at IBM T.J. Watson Research Center and Morgan Stanley, and a proprietary trader at Credit Suisse.

He began his career as a machine learning researcher at IBM’s T. J. Watson Research Center in the storied Human Language Technologies Group, where he built a text search engine that was ranked in the top 7 in a world-wide competition sponsored by the US Department of Defense. He later joined Morgan Stanley’s Data Mining and Artificial Intelligence Group in New York. He was also a quantitative researcher and trader for Credit Suisse, Mapleridge Capital in Toronto, and Maple Financial.

Ernie is the author of Quantitative Trading, Algorithmic Trading, and most recently Machine Trading, all published by Wiley. He also writes a popular blog at epchan.blogspot.com, and is an Adjunct Faculty at Northwestern University’s Master’s in Data Science program.

Ernie earned his PhD in physics from Cornell University, and his B.Sc. from the University of Toronto.

Contributions

  • What is the Probability of Profit of Your Next Trade?

    A presentation originally held as part of the CMT Association's European Summit by Dr. Ernest P. Chan on July 1st & 2nd, 2021. The Summit will take place fully online, and will feature the analytical tools, investment process, and current market views of some of the...

  • Conversations: Podcast Interview with Ernie Chan

    This week in the CMT Association Podcast Series, Lance McDonald, CMT has the opportunity to chat with Ernie Chan!

  • Backtesting and its Pitfalls

    Dr. Ernest Chan joins the United Kingdom Chapter of the Market Technicians Association for a live presentation in April 2013.

  • Factor Models in Practice

    A webcast presentation by Dr. Ernie Chan originally held on July 9nd, 2014 as part of the CMT Association's Educational Web Series. Factor models are well-known among long-term investors who favor stock selection models. But there are some exotic factors from which shorter...

  • Backtesting and its Pitfalls

    A webcast presentation by Dr. Ernie Chan on February 2nd, 2011 as part of the Educational Web Series.

  • Technically Speaking, June 2014