PpSignal quantiles Band

10 Haz 2019

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}

10 Haz 2019

Sürüm Notları

we add fill color

11 Haz 2019

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we changed alarm calculation

11 Haz 2019

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we added calculation

13 Haz 2019

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we adde mtf to quantile band

13 Haz 2019

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we add mtf in different time frame qb and cfb

15 Haz 2019

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we adde frame

15 Haz 2019

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we changed internal calculation alarm atr

18 Haz 2019

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we adde atr band

23 Haz 2019

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we add murray math ) line

27 Haz 2019

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we add haiken ashi super smooth candle