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