Python based Trading Strategies by Machine Learning

Trading Strategy development—Powered by Machine Learning

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Morgan Slade, the CEO of CloudQuant spent some time with discussing the world of crowd research, technology, and data science with ChatWithTraders.com

Topics covered:

  • How large funds and institutions put on $100-million positions; how they work orders into the market, structure the trade and handle market impact etc.
  • Morgan explains why he feels as though the common approach to strategy development is counter intuitive, and shares an alternative 3-step formula.
  • A simple description of how machine learning and data science is being used by traders, and an example of how ML has been used to improve existing strategies.

This interview is the follow on interview that Chat With Traders had Andy Kershner. Towards the end of that episode, Andy briefly mentioned a cloud-based algo development platform and fund, CloudQuant, which is a subsidiary of Kershner Trading Group.

About Morgan Slade

Learn more about Morgan, his 20 years of experience as a trader, portfolio manager, researcher, technologist, executive and entrepreneur, and the team at CloudQuant.

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