Machine learning in trading: theory, models, practice and algo-trading - page 2463

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No it's a trade for the last month real account, ostensibly!!!
He has increased his deposit by 20% in a month, and he is running and hysterical.
What do you mean, hysterical? You said that OI, delta and RV don't work, but it turns out that only you don't work. So we got to the point, how should we use this data to get useful information out of it? Naturally, I don't use this information directly, but use this data to build indicators. For example, I am interested in the stochastic component in the cumulative delta or accumulation and distribution of the Open Interest, or at least in the standard deviation of the delta from the price, as an example. Regularities that are applied to the input of the network are calculated exactly in the results of indicators construction that are based on the above-mentioned data in their turn.
Great! Now a question - if everything works, why look for other variables?
Because there is more information that affects the future price movement, which I do not use, but I would like very much, it would increase the reliability of the resulting models!!!
Don't bother yourself with reliability - monitor the signal and go to battle!
so did you finally teach me how to park?
Parking, no. Park side by side.
But the target is set so - the distance from the wheels to the corners of the perfectly parked rectangle.
Okay, whatever you say!!!
And through which broker do you get access to the Moscow Exchange using MT?