This is a discussion on 3rd generation NN, deep learning, deep belief nets and Restricted Boltzmann Machines within the Trading Software forums, part of the Trading Tools category; The purpouse of this thread would be to verify if the deep belief nets trained for Restricted Boltzmann Machines can …
The purpouse of this thread would be to verify if the deep belief nets trained for Restricted Boltzmann Machines can predict or classify FOREX strategies results. The comparative analysis with results obtained using Support Vector Machines with different kernels can be also done.
Deep belief nets seems to be quite new thing based on analysis of human brain way to work. Links to video tutorials are below
The most research seems to be done by Mr. Hinton from Uni of Toronto and Mr Yann and Mr. Taylor from Uni of NY see links
To achieve our goals we can use already existing FOREX system TradeFX which is using MATLAB + MT4 and using Support Vector Machines for classification
For people interested in SVM theory here is very good video course
So our tasks would be:
1) double check if all scripts of TradeFX are correct (already bugs found in three of them) and eventually expand this design by adding e.g. Buy Orders
2) Adapt the MATLAB code of Hintons autoencoder to be usable with TradeFX
3) Adapt the MATLAB code related to Phd Thesis of Taylor to be usable with TradeFX
4) Try to change standard MATLAB SVM kernel to different one (e.g. Wavelet)
Than back test and OOS test for systems from 2,3,4 can be done and results compared.
All code is dowloadable from links above
Questions are welcome