Machine learning in trading: theory, models, practice and algo-trading - page 1823

 
mytarmailS:

to all thinking people, myself included.

Then tell me what happens tomorrow.

 
Maxim Dmitrievsky:

Then tell me what happens tomorrow.

Thursday the 18th.

 
mytarmailS:

Thursday the 18th...

You can't make a mess with that kind of knowledge.

 
Maxim Dmitrievsky :
Bem, entendo. Mas posso obter os mesmos resultados após 1-5 min de aprendizado :) se os recursos principais são bons
My dream.
 
Maxim Dmitrievsky:

You can't make a mess with that kind of knowledge.

Ah, have you made much with your approaches? Answer yourself, but honestly... You don't have to answer me, I already know.

 

ABBI posted its MO software on githab

https://www.abbyy.com/en-us/neoml/

NeoML - Open-Source Machine Learning Framework | ABBYY
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Powerful NeoML framework to build, train, and deploy machine learning models. LEarn more about how ABBYY uses NeoML.
 
mytarmailS:

ah, have you cooked a lot with your approaches? Answer yourself, but honestly... You don't have to answer me, I already know.

What do you think you're doing? 0 so far.

 
Maxim Dmitrievsky:

by approaches in the ME? 0 so far

with the approach - the market is chaos.

 
Aleksey Nikolayev:
Errors of the first and second kind? No, we haven't.

Does the second type have a distinction when we rejected the correct solution and when we didn't know the correct solution?)

 
mytarmailS:

with the approach - market chaos

Look, well this isn't an academic group here to prove anything :) there are different approaches to working with time series, most of them garbage on quotes. Unless proven otherwise, why the fuss?
Reason: