I did a small project by using Random Forest model to predict stock performance.
By feeding the stock features into the model such as PE, Sales, Volume etc. into the model, will the model give you a good prediction?
The accuracy score is good, about 0.98 but I failed, the model return mostly not buy prediction. As the model think that most stock in Q1500US from the features I provided, is not good. It returned several stocks through, but not as good I would think.
If you could do any improvement on the model, please feel free. I will keep looking into different models.
Its a pity that the GridsearchCV does not work in quantopian platform.