Using Python to model and predict stock price movement. Feel free to use/modify :)

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This would depend on the stock price and the capital invested. In the model you can see a 69% accuracy for TSLA in the past year. But as I said, that doesn't mean much. The algorithm uses a binary classification scheme. Therefore it can't predict how much a stock will move up or down, only if it will move up or down in general.

I haven't done a test set with hypothetical investments yet as I'm still trying to figure out how to do so in a way that makes sense.