Our next guest on Top Traders Unplugged is the CEO and Co-Founder of KFL. In this episode we explore their trading strategy and uncover the fundamental differences between what they are doing that makes them so different from traditional alternative investment organizations.

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In This Episode, You’ll Learn:

Transitioning from commercial litigation to wholesale mutual fund vending
How Dave Sanderson was exposed to alternative investments in the first place
The convincing required to get top big data scientists to work on financial challenges
The comical story of how carefully big data scientist come to conclusions
What Dave Sanderson loves to do when he isn’t working directly on KFL Capital Management
How Dave Sanderson sees the deviation between machine learning and systematic trading
What it means to exist in a deluge of big data
How Dave Sanderson and KFL perceive themselves and the usefulness of labeling
Is machine learning a superior method than conventional approaches to trading?
About the choice of Krystal as a name for their fund
The structuring challenges behind KFL Capital Management and why they are more like a tech firm
The focus for expanding KFL Capital Management
About evolutionary computing and how KFL Capital Management grows with the markets
Is there an environment which would be optimal for Krystal?
Is there an environment which would be severely challenging for Krystal?
The use of non-parametric modeling and why this type of prediction takes KFL out of most conventional finance sector buckets

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Resources & Links Mentioned in this Episode:

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