Quant fund insider here. The data is pretty pure, in the sense of not telling you any metadata at all. It's literally just a bunch of numbers and 0/1 labels. It's hard to implement a strategy without knowing what exactly you're looking at. I get the feeling this "pure dataset" is part of some framework that Numerai thinks will beat the market, given good predictors. That's not necessarily the case. Say I assume the 0…
That's actually very far from being true. If you trade a single instrument, sure, the variance will kill you in anything but the very long run. But if you trade thousands of securities (like say, the entire US equity market), then a 55% prediction ratio and a market neutral strategy will absolutely crush. Even if you blindly buy/sell on every signal without doing any sort of weighing (excluding low confidence predictions, etc), then you should see a several sigma strategy.
It only takes a very, very small edge to make a very low risk strategy if you can diversify.
https://en.wikipedia.org/wiki/Signal_averaging
Now add on top of that the fact they will have several low SNR prediction signals, and the effects of signal averaging become even greater
I'm also a "quant fund insider", as you put it...