Yes I am seeing the same effect in validation and I am handling both sets in the same manner.
For clarity my LSTM has 10 neurons per layer, 1 hidden layer, a learning rate of 0.001 and 20000 training epochs. Might it be that my network is not deep enough?

Attached is a figure showing the output I am receiving.
The orange line is the actual data and the blue line is my forecast.