[spyder]

If you are interested in the machine learning part, you can try the Numerai tournament ( https://numer.ai ). They provide obfuscated high quality hedge fund data that participants can train their models on and send back only their predictions and then they combine the user's predictions into their market neutral meta model which they actively trade. So far their fund's returns looks promising in their category (market neutral fund) especially in the latest months: https://numer.ai/fund

You can get reward too if you stake their own "made up" crypto token on your prediction, but that comes with the usual crypto volatility risks too, so I do not recommend staking as a beginner unless you have a top model and OK with the crypto risk. Also they use only the staked predictions in their meta model because they use the stake size as an indicator for confidence of the user in their model (they are creating a stake weighted metamodel)

It's not easy too be good at it and it's getting harder because they want not only good predictions but diverse set of models which help eachother to improve their meta model (that's the TC metric on their leaderboard of models). If you have some machine learning experience it's easy to get started with their example script and see how far you can get with hedge fund quality data. Boosted tree models are having good results but Neural Nets are more customizable so you can try more exotic models with them to have the diversity they are looking for.

Also one of their early investor is Howard Morgan the co-founder of Renaissance Technologies.