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HedgeHog - AI multi-agent trading system

Posted 1 year ago
POSTED BY: Matus Plch
4 Replies
POSTED BY: Michael Kelly
POSTED BY: Michael Kelly
Posted 1 year ago

Dear Michael,

Thank you for your interest!

NEAT is a flexible approach to neural network training that includes:

Network representation Evolutionary training methods (breeding and mutations). While there are many NEAT implementations, a Mathematica version has been missing.

To fill this gap, we created a NEAT package in Mathematica, using its NeuralNet functionality. HedgeHog, presented here, utilizes this NEAT package for training.

We are considering releasing our NEAT package. What are the best practices for seamless integration with the Mathematica environment?

It seems the paclet system could be ideal. Would it support monetization, such as offering both free non-commercial and paid commercial licenses?

for further information, do not hesitate to contact us at enquiries@aizoo.tech

Best regards, Aizoo

POSTED BY: Matus Plch

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

POSTED BY: Michael Kelly
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