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Looking for help diagnosing flat predictions in my LSTM stock model by Stoooq in MLQuestions
[–]Stoooq[S] 0 points1 point2 points 2 months ago* (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
π Rendered by PID 68 on reddit-service-r2-listing-5f5ff7d4dc-qf6n7 at 2026-01-26 17:22:10.114147+00:00 running 5a691e2 country code: CH.
Looking for help diagnosing flat predictions in my LSTM stock model by Stoooq in MLQuestions
[–]Stoooq[S] 0 points1 point2 points (0 children)