Predicts the next next days closing price of the All Ordinaries index with upto 74% directional accuracy.  Based on a thesis paper submitted by a customer.

This is an example implementation of the ideas presented in the following research paper:

http://epublications.bond.edu.au/cgi/viewcontent.cgi?article=1066&context=infotech_pubs

This example should be trained on a stock or pool of stocks (ie ASX100) then the indicator code should be run through the optimizer. I highly recommend you read the paper before using the example.

This example shows how to create a simple optimizable trading system using the predicted percent change of a stocks closing price.

- First train the neural network then use the indicator code generated to backtest and optimize the system.

This is a neural network project for a smooth predicted RSI. This version has a tweaked neural network architecture and produces far better results then all past versions.

Neural Network Wizard Project to predict a 10 day moving average and 30 day moving average for earlier crossovers.