From the very beginning, Robert Sinnott has studied the movement of the markets and how to anticipate their changes. Robert earned both an A.B. and an A.M. in Statistics from Harvard University, where he focused on statistical machine learning, capital markets, and time series analysis.In our conversation, my co-host Katy Kaminski and I talk with Robert about how he has used these skills to redesign AlphaSimplex’s performance analytics infrastructure and develop smarter machine learning processes, and how Robert employs this data with such success.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HEREIn This Episode, You’ll Learn:The history behind AlphaSimplex and how it beganHow Robert got involved with AlphaSimplexHow the surrounding technology industry affects Robert’s workWhat lessons Robert has learned from his time at AlphaSimplexHow Robert spends his time outside of his workHow adaptive markets shape the way Robert worksWhy Robert utilizes machine learning and how it benefits AlphaSimplexThe dangers of relying too much on machine learningWhat makes AlphaSimplex’s machine learning so easy to understand----- Resources & Links Mentioned in this Episode:Learn more about Joe Blitzstein’s “Introduction to Probability”Find out more about my co-host Katy Kaminski’s “Trend Following with Managed Futures: The Search for Crisis Alpha” Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT’s TRUE ? – most CIO’s read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to [email protected] please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Rob on...

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