Machine learning in trading: theory, models, practice and algo-trading - page 1371
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What else is needed in Python besides "apply a model on this data and give an answer"? Optimization through automatic creation of parallel sockets?
to apply something, you first need to train something (c)
I don't know about optimization, i don't use MT optimizer at all, only bruteforce sometimes
connector is the easiest, the framework in 20 lines, the rest is written to fit your needsto apply something, you need to train something first (c)
With optimization I don't know yet, I don't use MT optimizer at all, only bruteforce sometimes
I can teach it even not in python in my case, I can create model in different formats.
Connector is the simplest, the framework in 20 lines, the rest is filled in for your needsWell, it would be interesting to see an example - you passed the value of a function as an array, and in response :)
Well, this will be interesting by example - you passed the value of the function as an array, and in response :)
Yes, that's how it is in the simplest case
50k characters are transferred and returned instantly. Calculation of some models depends purely on the model, there may or may not be delays
Then it is interesting to know the details of debugging such communication.
I am more concerned about the question of why I need all this and what models to saw now of all the great variety.)
I'm not sure what I like, but I'm not sure what I like.)
There are simple ones in MT5 :)
there are simple ones in mt5 :)
(Whatever suits your fancy, go for it.))
I asked the developer to fix and add some fixes, he did it. And then completely rolled back to the original version, erasing all the fixes. As a result, all modifications that I used were not available.
Conclusion - or do everything yourself, or use top products with very good support.