Fitting to Noise or Nothing at All: Machine Learning in Markets

Re:Fitting to Noise or Nothing at All: Machine Learning in M... by dsacco on Monday August 07, 2017 @01:37AM (#14945541)

Well said. Where most funds have the same problem 'chollida1 describes here[1], Rentec (and other similar firms) moved past that by establishing the right culture and investing in the right technology from the outset.

They need smart people, but hiring the smartest people and having the most sophisticated models won't do you any good if you can't acquire high signal data, can't clean that data properly and can't rapidly backtest. And if you can't do any of that, adding more data is just going to add more noise.

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1. https://news.ycombinator.com/item?id=13139638#13140352

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Re:Fitting to Noise or Nothing at All: Machine Learning in M... by ata6187 on Monday August 07, 2017 @01:49AM (#14945577)

Know all about it, was a data lackey B* at a HF (not Rentec) when I first graduated from school.

By the way for anyone reading this, Rentec is hiring, need to know C/C++ and a "basic knowledge of statistics" is preferred but not required.

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Re:Fitting to Noise or Nothing at All: Machine Learning in M... by dsacco on Monday August 07, 2017 @01:59AM (#14945607)

Given your background, I'd be interested in picking your brain a bit for a few projects I'm working on. If you're looking to remain anonymous would you mind sending me an email (in my profile), or throwing an email up in yours?

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Re:Fitting to Noise or Nothing at All: Machine Learning in M... by RealAnalysis on Monday August 07, 2017 @11:50AM (#14948413)

but i feel like they're looking for PhDs and Math Olympiads.

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