Machine learning in trading: theory, models, practice and algo-trading - page 2056
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Oh, my gosh...
what?
What?
Tags say randomly sampled, that's all
Ahh, I think I realized that I do not understand what you mean and was talking about something else )) sorry
what video are you talking about ?Ahh I think I figured out that I didn't understand what you were talking about at all, and I was talking about something else )) sorry
what video are you talking about ?Yes, in all of them, it's the same thing. I will write an article if everything is okay. I should also check it in my mt tester.
Maxim, how does it close deals? I mean, do you set take and stop? Or does it close deals by itself?
Tags say randomly sampled, that's all
Maxim, how does it close your deals??? I mean, do you set a take and stop, or does it close by itself??? Or by time?
Something self-learning, like in the earlier articles?
Yes, in all of them, it's the same thing. I will write an article if everything is OK. I will have to check it in the mt-tester
Have you tested it in the tester yet?
not yet tested in the tester?
Just sat down, parser wrote
Here is the model, you need to feed it with 15 last increments, on each bar. The increments are counted as price minus 5-period oblique average. Send to the function double catboost_model(const double &features[]), which is in the inluder
If the signal is greater than 0.5 then buy, if less - sell. The time frame is 15 minutes.
I've been studying it since September 1 till now.
I will not do it anyway... i'll just leave it here ))