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Atualizado PpSignal quantiles Band
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}
Notas de Lançamento
we add fill colorNotas de Lançamento
we changed alarm calculation Notas de Lançamento
we added calculation Notas de Lançamento
we adde mtf to quantile bandNotas de Lançamento
we add mtf in different time frame qb and cfbNotas de Lançamento
we adde frameNotas de Lançamento
we changed internal calculation alarm atrNotas de Lançamento
we adde atr bandNotas de Lançamento
we add murray math ) lineNotas de Lançamento
we add haiken ashi super smooth candleScript protegido
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Script protegido
This script is published as closed-source. However, you can use it freely and without any limitations – learn more here.
Aviso legal
As informações e publicações não devem ser e não constituem conselhos ou recomendações financeiras, de investimento, de negociação ou de qualquer outro tipo, fornecidas ou endossadas pela TradingView. Leia mais em Termos de uso.