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Trend following. The dynamic systems & strategies that make up a modern CTA, w/ EMCs John Krautsack

The Derivative

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Optimizing Genetics

The part of re optimizing a is it's basely. So we don't degegrade. It's just creating parometers and really looking forward more than backwards. The best thing about, you know, back 15 years ago, we would run an optimization and see what, what parometers moved,. Then tried to hone in on like s, youknow, a range. But now when we do genetic opis tions, we can just let everything, we don't have to put like, ranges on on these optimizations. We could just open up the the perometers as wide as we want, and just let those perometers get populated from natural selection process.

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