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No, Victor makes good turkeys :) I often use them myself. Have a look at his branch, there is a lot of interesting stuff there.
DmitriyN:
Then I'll share the maschka as well :) The most common Ma, with a period of 10, is based on a Ma with a period of 10, which in turn is also based on a Ma with a period of 10 and so on.
In short, all this is done without leaving MT, with the usual mask using the "Previous indikator's Data". In other words, it is a mask from a mask. I have not yet found an application for this smoothed MA.
In this case the screen shows a 4th order mask. The period is 4*10=40
Read AlexeyFX's posts, about shifting filters by delay bandwidth, it's either a cascade of cic filters, or adaptive filter shift value.
The same scale can look better if you shift it not exactly by the number of periods, but +/-, for example, not by 1 period, but from 0 to 1, you need to look for optimal position of the scale in this interval, which will give more information. So it will turn out, that the expression "a wrecker from a wrecker from a wrecker", will take a different turn, each shift of a wrecker is nonstationary, the shift, will influence the next averaging.
The point is to build an ideal smoothed line that does not distort the phase, and will be as close as possible or in other words equidistant from the spread of the price (if you shift it back)
PS: By the way, from what considerations can you pick up a chain from such ma ma, say ma50 from ma 123 from ma 220 from ma 263, i.e. unequal periods of ma.
Didn't know you were doing this. Any luck?
I don't know if this is the one or the other, but this one is interesting too, I couldn't find any implementation in the base.
https://www.mql5.com/ru/forum/100105/page2
I'll put in my five bits and pieces. JMA.
No redraw? I don't know, sometimes I notice that they can post a mashup with its backward shifted, without showing the right edge))))
Does A (((x1+x2)/2)+x3)/2)+x4)/2,,,,,,, have the advantage of this averaging
than B (x1+x2+x3+x4)/2
????? in terms of reducing the impact on the dynamic properties of the final curve, of each individual reference on the whole sum. or in terms of where the reference stands in the series.
Say for series 1 2 3 4
А ((((1+2)/2)+3)/2)+4)/2 =2,875
but for row 4132 it will already be (((4+1)/2+3)/2)+2)/2=2,375, not only what is the sum of the row, but also what is the arrangement of the values in the row.
whereas at B (4+1+3+2)/2=(1+2+3+4)/2
Does A (((x1+x2)/2)+x3)/2)+x4)/2,,,,,,, have the advantage of this averaging
than B (x1+x2+x3+x4)/2
????? in terms of reducing the impact on the dynamic properties of the final curve, of each individual reference on the whole sum. or in terms of where the reference stands in the series.
Say for series 1 2 3 4
А ((((1+2)/2)+3)/2)+4)/2 =2,875
but for row 4132 it will be already (((4+1)/2+3)/2)+2)/2=2,375, not only what is the sum of the row, but also what is the arrangement of values in the row.
whereas at B (4+1+3+2)/2=(1+2+3+4)/2
It turns out like LWMA. And count the brackets in the examples! Useful! :)
I'm thinking that this kind of mashka(A) is probably closer to the word LF filter than the standard one. And more useful, as it doesn't hide the dynamics (probably).
Of course there are more computational costs, but it's not about that, it can be optimized later.
I would like to ask about advantages.