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The best advice on how to thrive, or at least survive, in the increasingly competitive world of quantitative trading. Topics include optimal leverage, performance momentum, infrastructure investment, strategies selection, and collaboration. Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. He began his career as a machine learning researcher at IBM’s Human Language Technologies Group, and later joined Morgan Stanley’s Data Mining Group. He was also a quantitative researcher and proprietary trader for Credit Suisse. Ernie is the author of “Machine Trading”, “Algorithmic Trading”, and “Quantitative Trading”, all published by Wiley, and a popular financial blogger at epchan.blogspot.com. He also teaches at the Master of Science in Predictive Analytics program at Northwestern University. He received his Ph.D. in theoretical physics from Cornell University. To learn more about Quantopian, visit http://www.quantopian.com. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.