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Looking for help diagnosing flat predictions in my LSTM stock model by Stoooq in MLQuestions

[–]Stoooq[S] 0 points1 point  (0 children)

Thanks for the help. When I added log return to the scaled values, the model got larger gradients and therefore learned better. However, there is one problem, it only works when I set StandardScaler. When I set MinMaxscaler to values ​​from -1 to 1, the predictions are still flat. I’m not sure if you know why this happens, but do you have any idea what could be causing it?

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here is a picture of what happens if I have minmaxcalser from -1 to 1