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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\u2019s performance analytics infrastructure and develop smarter machine learning processes, and how Robert employs this data with such success.

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In This Episode, You\u2019ll Learn:

• The history behind AlphaSimplex and how it began
• How Robert got involved with AlphaSimplex
• How the surrounding technology industry affects Robert\u2019s work
• What lessons Robert has learned from his time at AlphaSimplex
• How Robert spends his time outside of his work
• How adaptive markets shape the way Robert works
• Why Robert utilizes machine learning and how it benefits AlphaSimplex
• The dangers of relying too much on machine learning
• What makes AlphaSimplex\u2019s machine learning so easy to understand

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 Resources & Links Mentioned in this Episode:

• Learn more about Joe Blitzstein\u2019s \u201cIntroduction to Probability\u201d
• Find out more about my co-host Katy Kaminski\u2019s \u201cTrend Following with Managed Futures: The Search for Crisis Alpha\u201d 

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IT\u2019s TRUE ? \u2013 most CIO\u2019s read 50+ books each year \u2013 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 \u201cTen Reasons to Add Trend Following to Your Portfolio\u201d here.

Learn more about the Trend Barometer here.

Send your questions to info@toptradersunplugged.com

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