ML-Quant: Professional & Open Research

A couple of months ago I helped launch the Kaggle G-Research crypto competition, I have since thought about methods to obtain up-to-date research that could be used by participants to discover signals.

The solution was ML-Quant, a public and free solution that will get you halfway there. So far the focus has been on academic literature (like ArXiv, SSRN, and RePec), and general media (Blogs, Podcasts, Videos).

A few Numerai members have responded to my LinkedIn post, so I thought I would post it here for your feedback and recommendations.

And would happily answer any question too!

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Saw it on reddit and using it sometimes mainly for the paper section. Appreciate the effort sir ^ ^

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That is a pleasure @kirua, please let me know if you have any recommendations. :slight_smile:

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