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Half a year is enough, you can learn MQL in a fortnight. And for those who know C, C++, C# and only a part of it is needed, they can learn it in a day.
Although I agree that in order to write an EA you need some experience, especially as a trader in order to understand all the details.
The main thing is practice! I also learned the language in a fortnight (syntax, loops, functions).
I reread it, it really came out crooked. It's as if I'm trying to emphasise what I've got and you haven't got. I'm sorry if you thought the same. I didn't have that in mind, I really want to know how this kind of auto modeling can help.
I myself only use the square root law to narrow down the search, to find out "where to look". For example, the places where the theoretical maximum possible profit is greatest (where one spread-adjusted profit comes out per trade). This often allows you to practically reduce the dimensionality of the search space.Never mind. I didn't post the results, just the conclusion. I didn't even bother saving the calculations, as I was interested in the presence or absence of it. To this day I do not know what it may be used for. Something did not see, what is your conclusion?
As for the experiment itself, they are almost equivalent. Only instead of MA I used LF filters, and instead of a "frequency" distribution (as far as I understood you applied it) I used a probability distribution. I reduced them together by converting the cutoff frequencies of the filters to unity, with a corresponding change in the amplitude by signal energy.
Alternatively, the same could be shown via the Fourier transform and comparison of spectra via scaling. This was not done.
Let me explain again. The probability distribution you see on the increments - it doesn't go anywhere. It wants to live! It appears in one way or another in deviations of prices from the moving average. And the goal of these experiments that Vladimir has done is to understand at which MA the deviations from it form a distribution that is maximally similar to the distribution that you see on the increments. That will be the sampling volume for calculation of a trailing MA that will maximize a profit. What's not to understand?
Why did you decide that your distribution on the increments should be the same as the distribution on the deviations from ma.
Let me explain again. The probability distribution you see in the increments - it doesn't go anywhere. It wants to live! It shows up in one way or another in price deviations from the moving average. And the goal of these experiments that Vladimir has done is to understand at which MA the deviations from it form a distribution that is maximally similar to the distribution that you see on the increments. That will be the sampling volume for calculation of a trailing MA that will maximize a profit. What's not to understand?
And for nothing!
:))))))))))))))) That's just the way I am. As someone here said, "I demand a continuation of the banquet!" :))))))
What banquet? Show me your intermediate results! )
What banquet? Show me your intermediate results! )
And from the audience they shout to me - Give me the details! (с)
Oh, you'll have to write an article, Alexander.) By the way, they give money for articles.) The real ones, not the demo ones.
Um... No, I'm lazy. I'm used to exclusively supervise, but if some student, from those present here, will write a term paper on stationarity/non-stationarity on the basis of nonparametric methods, and will post it here with a supervisor's signature - that'll be YES!
I was inspired by it. And as an old and experienced provocateur, I couldn't resist).
... If any student here writes a term paper...
Students are extremely rare here. There are very few young people (under 30) either. The main contingent is between 40+ and 70+, so it's a mistake to be old. Your age status on this forum is closer to that of the young.
Hmmm... What's taking you gentlemen so long with this task???