I have a dataset with features (f) for different stocks (S) and want to infer for price using an LSTM model. Here is my df:
and so on... (example values).
I would like to predict the prices of every stock by using the features as inputs looking 1yr back into the past.
Example for Stock 1 (predict 2012):
[[0.1 0.12] [0.4 0.42]] 110
However, I want to to that for all stocks, so I am not sure which type of LSTM to use.
Your help would be very much appreciated!