Dear Aizoo team

Thank you for your enquiries about your financial trading package HedgeHog based upon a Mathematica paclet for the underlying NEAT program.
My advice for the usage of the Network representation Evolutionary training (NEAT) program based upon our NeuralNet technology expressed as a paclet, would be to store it at the Wolfram Paclet repository at https://resources.wolframcloud.com/PacletRepository. Advice on how to do this is referenced at https://resources.wolframcloud.com/PacletRepository/creating-paclets. This would make the paclet freely available to Wolfram users. However if you wish to store the underlying code at the Wolfram GitHub site at https://github.com/WolframResearch then it too will make that code freely available. As to whether the GitHub site satisfies the CI/CD security requirements, I cannot say for sure, but would expect that this is the case since we at WRI are obsessive about online security. For further queries about this I would direct you to github-admin@wolfram.com for these assurances.

Lastly there is the hedgehog training program built upon the NEAT program. I understand that this should not be freely available and should be offered at a price as a third party package at our site https://www.wolfram.com/products/applications/. For support in this I would advise going to the web page https://www.wolfram.com/contact-us/?source=mathematica and/or ringing 1–800–WOLFRAM for further advice.

I would be happy to test your NEAT paclet using the Wolfram Finance Platform, but I do not currently have the facilities to test the HedgeHog trading component here in Australia unless I was given access to a simulation trading platform.

Before proceeding any further, I strongly advise that you follow up on the WRI contacts that I have referenced above and that issues of storing the NEAT paclet be resolved before proceeding with having the HedgeHog program as a saleable Mathematica add-on. I have included the emails of the github administration and two sales reps - Bradley Harden and Jon Harwood, who should be able to help you further. At this stage , only contact me as regards the NEAT paclet

Regards
Michael Kelly

Thanks Matus for supplying this NN trading model.

But I feel I am no better off in understanding what the application NEAT does or how it does it, unless I buy the online publication in Evolutionary Computation. However from the commands NEATGetProgenitors[1], NEATCreateNetFromGraph[net] and NEAT`CreateLoss[], it appears that NEAT can be downloaded as a Mathematica paclet based upon the Mathematica Neural Net structure.

If so, how does one do this or purchase it?

Regards Michael Kelly