[D] How can I reduce the difference between real and predicted stock price?
I’m using LSTM in deep learning to predict indexes.
I used MinMaxSacler(0~1) and The lowest MSE obtained through the model is 0.000003
However, there is a big difference between the predicted price and the real price.
I wonder if it is possible to bridge this gap.
If I can, I wonder which method I should use.
Your valuable opinions and thoughts will be very much appreciated.