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Why Systematic? Why CTA? Why Now? A panel event with Mercer, Campbell, EMC Capital, & Resolve

The Derivative

CHAPTER

The Misnomers in the Space of Machine Learning

There's not enough data in financial markets to really attack it from the same problem of big data that Google and Facebook and Tesla have. And for that, it requires a much more thorough experimental process of testing the data with hold-out sets. At the end of the day, we're not allowing the machine to tell us what to do. We're hand-crafting the parameters.

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