About the Author

Ernest P. Chan is the founder of PredictNow.ai, a financial machine-learning SaaS available as a no-code service or via an API. He is also the founder of QTS Capital Management, LLC. (www.qtscm.com), which manages a hedge fund and separate client brokerage accounts. He has been quoted by the Wall Street Journal, New York Times, and CIO magazine on quantitative investing, and has appeared on CNBC's Closing Bell. His firm has also been profiled in a Bloomberg Businessweek article.

Ernie is the author of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, Algorithmic Trading: Winning Strategies and Their Rationale, and Machine Trading: Deploying Computer Algorithms to Conquer the Markets, all published by John Wiley & Sons. To learn more about his books and training courses, visit www.epchan.com. He maintains a popular blog at predictnow.ai/blog, where readers can also download his other publications.

Ernie is an expert in developing statistical models and advanced computer algorithms to discover patterns and trends from large quantities of data. He was a machine-learning researcher at IBM's T. J. Watson Research Center's Human Language Technologies group, at the Data Mining and Artificial Intelligence group at Morgan Stanley, and at the Horizon proprietary trading group at Credit Suisse, as well as at various other hedge funds. He is also an adjunct faculty at Northwestern University's Master's in Data Science program. Ernie received his undergraduate degree from the University of Toronto and a doctor of philosophy degree in theoretical physics from Cornell University.

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