[sigmaprimus]

Possibly weighting sentiment against frequency of tweets?

I would say that You also need to include swings in the general marketplace. I would do this by observing comparables or simmilar stocks and analyze them using your system, if they all line up or one stands out that might be the key.

The more data points You can use the better, especially if you are using ML to create the model.

Robinhood might be a good test case, they are planning an IPO so You can watch it right from the beginning. It would be ironic if all the Gamestop investors took their profits and hedged Robinhood into the ground! If that happens I bet preceding Twitter tweets will be a harbinger of sorts.

Just don't get caught up in a "Red/Black" gambling system and lose your shirt!

Maybe looking 2 days into the future is a bit too ambitious of a target right now, a couple hours or even less time would be a huge advantage and should make it faster to verify.

Good luck!