PpSignal quantiles Band

2019年6月10日

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}

2019年6月10日

發行說明

we add fill color

2019年6月11日

發行說明

we changed alarm calculation

2019年6月11日

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we added calculation

2019年6月13日

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we adde mtf to quantile band

2019年6月13日

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we add mtf in different time frame qb and cfb

2019年6月15日

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we adde frame

2019年6月15日

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we changed internal calculation alarm atr

2019年6月18日

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we adde atr band

2019年6月23日

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we add murray math ) line

2019年6月27日

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we add haiken ashi super smooth candle