Now every  time there is a new input generated by the Classifier, every weight or bias can be improve ( the neural network learns) by using the equation I attached (epsilon is a small value that can be a variable to be optimised in the walk forward testing) .

It will be great if some of you can help me with this project.

In fact, now that I finished the back-propagation algorithm,   it is very near already for create an indicator for prediction using Neural Network

All I do, is to apply what I learn in here:

http://neuralnetworksanddeeplearning.com/