I guess +,0,- values should give meanningful results, thanks.

I hope that I understood correctly

This is a version that is shifted to separate window and it has an option to "be adjusted" to the zero line (the lower case on the example picture - that is the default state of the indicator)

In statistics and the theory of probability, quantiles are cutpoints dividing the range of a probability distribution
into contiguous intervals with equal probabilities, or dividing the
observations in a sample in the same way. There is one less quantile
than the number of groups created. Thus quartiles
are the three cut points that will divide a dataset into four
equal-size groups (cf. depicted example). Common quantiles have special
names: for instance quartile, decile (creating 10 groups: see below for
more). The groups created are termed halves, thirds, quarters, etc.,
though sometimes the terms for the quantile are used for the groups
created, rather than for the cut points.

q-Quantiles are values that partition a finite set of values into q subsets of (nearly) equal sizes. There are q − 1 of the q-quantiles, one for each integer k satisfying 0 < k < q. In some cases the value of a quantile may not be uniquely determined, as can be the case for the median
(2-quantile) of a uniform probability distribution on a set of even
size. Quantiles can also be applied to continuous distributions,
providing a way to generalize rank statistics to continuous variables. When the cumulative distribution function of a random variable is known, the q-quantiles are the application of the quantile function (the inverse function of the cumulative distribution function) to the values {1/q, 2/q, …, (q − 1)/q}.

All the "bands" version of quantile bands are using 3 prices. This version is not. It is suing only one price, and for having an option to make a (substantial) difference between high and low, you can chose the period for finding out high and low value(s), But even without that (when the high/low period is set to <=1) the bands calculation itself does the job OK, and in most of the cases there is no need at all to have high/low period activated at all. Here is such an example

Now the reason for the "generalized in the name :

This indicator can be applied to any other indicator too. So, it does not necessarily need to be applied to prices. And some of the usage like that (just a quick example of quantile bands applied to rsi and stochastic) can give quite interesting results

PS: some will notice the lack of multi time framing in this version. The reason is simple : since the indicator is meant to be applied to other indicators, it can not implement multi time framing - it depends on the source of data, and the source itself dictates what is it that the indicator will use for calculation

This is a version that is shifted to separate window and it has an option to "be adjusted" to the zero line (the lower case on the example picture - that is the default state of the indicator)

This is the"regular version of QWMA (what used t mean "quadratic weighted moving average"). The "quadratic" part doe not stand any more, but decided to keep the name (it is kind of catchy :)).

This version :

has a choice to use floating levels or not (if the floating levels period is set to <= 1, the levels will be ignored and the coloring automatically switches to coloring on slope

has a choice of different color changes - color change on slope change, middle level cross or outer level cross

same setting is used by the alerts that are already part of the indicator

and it is multi time frame

Usual set of prices can be explored and the usual set of alerts (messages, sounds, emails, push notifications - on still opened or already closed bar)

And the usual "speed" of the qwma that can be experimented with. The common settings :

0 - for simple moving average

1 - for linear weighted moving average

2 - for "quadratic" weighted moving average

But since the "speed" does not have to be integer, all the value between those values and values larger than those values can be used, and that makes it a limitless number of some sort of new average types (the calculating period is never changed)

This is the"regular version of QWMA (what used t mean "quadratic weighted moving average"). The "quadratic" part doe not stand any more, but decided to keep the name (it is kind of catchy :)).

This version :

has a choice to use floating levels or not (if the floating levels period is set to <= 1, the levels will be ignored and the coloring automatically switches to coloring on slope

has a choice of different color changes - color change on slope change, middle level cross or outer level cross

same setting is used by the alerts that are already part of the indicator

and it is multi time frame

Usual set of prices can be explored and the usual set of alerts (messages, sounds, emails, push notifications - on still opened or already closed bar)

And the usual "speed" of the qwma that can be experimented with. The common settings :

0 - for simple moving average

1 - for linear weighted moving average

2 - for "quadratic" weighted moving average

But since the "speed" does not have to be integer, all the value between those values and values larger than those values can be used, and that makes it a limitless number of some sort of new average types (the calculating period is never changed)

nevar:Mladen,

Can you normalize it?

Mladen

I guess +,0,- values should give meanningful results, thanks.

nevar:Mladen

I guess +,0,- values should give meanningful results, thanks.

I hope that I understood correctly

This is a version that is shifted to separate window and it has an option to "be adjusted" to the zero line (the lower case on the example picture - that is the default state of the indicator)

Files:Some more on quantile bands ...

First the base :

In statistics and the theory of probability,

quantilesare cutpoints dividing the range of a probability distribution into contiguous intervals with equal probabilities, or dividing the observations in a sample in the same way. There is one less quantile than the number of groups created. Thus quartiles are the three cut points that will divide a dataset into four equal-size groups (cf. depicted example). Common quantiles have special names: for instance quartile, decile (creating 10 groups: see below for more). The groups created are termed halves, thirds, quarters, etc., though sometimes the terms for the quantile are used for the groups created, rather than for the cut points.q-Quantilesare values that partition a finite set of values intoqsubsets of (nearly) equal sizes. There areq− 1 of theq-quantiles, one for each integerksatisfying 0 <k<q. In some cases the value of a quantile may not be uniquely determined, as can be the case for the median (2-quantile) of a uniform probability distribution on a set of even size. Quantiles can also be applied to continuous distributions, providing a way to generalize rank statistics to continuous variables. When the cumulative distribution function of a random variable is known, theq-quantiles are the application of the quantile function (the inverse function of the cumulative distribution function) to the values {1/q, 2/q, …, (q− 1)/q}.All the "bands" version of quantile bands are using 3 prices. This version is not. It is suing only one price, and for having an option to make a (substantial) difference between high and low, you can chose the period for finding out high and low value(s), But even without that (when the high/low period is set to <=1) the bands calculation itself does the job OK, and in most of the cases there is no need at all to have high/low period activated at all. Here is such an example

Now the reason for the "generalized in the name :

This indicator can be applied to any other indicator too. So, it does not necessarily need to be applied to prices. And some of the usage like that (just a quick example of quantile bands applied to rsi and stochastic) can give quite interesting results

PS: some will notice the lack of multi time framing in this version. The reason is simple : since the indicator is meant to be applied to other indicators, it can not implement multi time framing - it depends on the source of data, and the source itself dictates what is it that the indicator will use for calculation

mladen:I hope that I understood correctly

This is a version that is shifted to separate window and it has an option to "be adjusted" to the zero line (the lower case on the example picture - that is the default state of the indicator)

MACD that uses qwma (as described here : https://www.mql5.com/en/forum/175037/page937 )

Depending on the "spoed" parameter, it can calculate the whole range of "hybrid" averages that qwma can calculate, without ever changing the periods

Indicator is already multi time frame version with the usual set of alerts and prices included

Files:QWMA with some "extensions" ...

This is the"regular version of QWMA (what used t mean "quadratic weighted moving average"). The "quadratic" part doe not stand any more, but decided to keep the name (it is kind of catchy :)).

This version :

Usual set of prices can be explored and the usual set of alerts (messages, sounds, emails, push notifications - on still opened or already closed bar)

And the usual "speed" of the qwma that can be experimented with. The common settings :

But since the "speed" does not have to be integer, all the value between those values and values larger than those values can be used, and that makes it a limitless number of some sort of new average types (the calculating period is never changed)

Files:QWMA ribbon

This is a version that can be applied to other indicators too.

Files:Rsi that is using adaptive T3 for filtering - with some upgrades (some possible issues solved). It can calculate the usual 6 types of RSI :

Files:mladen:QWMA with some "extensions" ...

This is the"regular version of QWMA (what used t mean "quadratic weighted moving average"). The "quadratic" part doe not stand any more, but decided to keep the name (it is kind of catchy :)).

This version :

Usual set of prices can be explored and the usual set of alerts (messages, sounds, emails, push notifications - on still opened or already closed bar)

And the usual "speed" of the qwma that can be experimented with. The common settings :

But since the "speed" does not have to be integer, all the value between those values and values larger than those values can be used, and that makes it a limitless number of some sort of new average types (the calculating period is never changed)