Here's some new code I wrote. I think this is the last code I'll write for trying to predict forex trends using neural networks. It's useless for predicting forex trends, but it has some cool examples of simple recurrent neural networks in C.
https://www.dropbox.com/s/b5cxga1sthtqzds/predict.tar.gz?dl=0
By the way, the time series I used for the experiments in the tarball was taken from
http://www.ecb.europa.eu/stats/eurofxref/eurofxref-hist.xml
And here are some links with ideas related to what I mentioned in my last post about considering markets as complex systems composed of simpler, smaller parts. I've to say I do consider the examples in the links to be gross oversimplifications. But so do the authors, apparently.
http://www.altreva.com/
http://jasss.soc.surrey.ac.uk/6/3/3.html
http://pages.stern.nyu.edu/~adamodar/New_Home_Page/invfables/investorirrationality.htm
GPS robot tripled the $100k deposit [live proof authenticated by myfxbook and broker]
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