TTU49: Will Big Data Enable KFL to Predict the Future? ft. Dave Sanderson of KFL Capital Management – 1of2
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:
- Man AHL – Dave Sanderson’s initial exposure to alternative investment.
- Thomas K. Hunter – “He’s probably done more tech deals than anybody in Canada.”
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