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I am trying to train a BackProp Neural Net with 21 inputs and 1 output.

The input data is S&P 500 stock data (indicators) and the output is if a buy should occur.

I have tried a number of neural net configurations but as the epochs progress the MSE gets larger after a decent as seen in the picture below.

enter image description here

Does this behavior denote something about my data or that something is wrong?

DanielBarbarian
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Mike Smith
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