I am training a stacked LSTM that takes as input a sequence
[1,...,n] and outputs a sequence
m<n, to predict stock prices.
Upon training the model with multiple architecture nuances, I am getting the same result: the
yhat sequences all have the same pattern.
What might be causing this?
*All input columns are z-scored