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Neural Network Strategy

hi, I'm new and I want to figure out how best to use the framework.

I have advanced knowledge of programming so I was thinking of a strategy that would be able to interoperate with an external endpoint on which to run the strategy in big-data scenario. Is possible to manage such a thing within your ecosystem?
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Hey @Roger,

I'll need you to be a little more specific as to what your needs are, but in general, yes.

My main question would be what kind of communication would be happening between the algorithm and this external endpoint?
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the neural network would perform precisely forecasting necessary after the training phase of the historic choice.

I have another question. Since i can run a distributed spider to get data sources are useful public that this type of process may be helpful to build the dataset?
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I have no experience of trading.They are precisely here to acquire the information needed for this purpose
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There is Accord, a c# library that makes running neural nets very easy. It is supported by the q.c. ide, just import it. As for what are good inputs for an ANN, well... that is scarce information. I did hear Rprop is recommended
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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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