Hello there :
I intend to create machine learning models for super volatile stocks… like MSGM (Motorsport Games inc.) , this stock went up more than 100% from prior close…on 17th april 2025 … this movements are just not regular… not many stocks go up that far in a single day … so I wonder…
In order to build a machine learning algorithm for predicting prices for this kind of stocks… (let’s say I want to predict the next price close…) what do I need to consider ?? what would be good inputs for my model ?? and what models should be more usefull for this ( Random forest, neural networks, etc. ) ??
Thanks