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Diupdate 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}
Catatan Rilis
we add fill colorCatatan Rilis
we changed alarm calculation Catatan Rilis
we added calculation Catatan Rilis
we adde mtf to quantile bandCatatan Rilis
we add mtf in different time frame qb and cfbCatatan Rilis
we adde frameCatatan Rilis
we changed internal calculation alarm atrCatatan Rilis
we adde atr bandCatatan Rilis
we add murray math ) lineCatatan Rilis
we add haiken ashi super smooth candleSkrip terproteksi
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Skrip terproteksi
Skrip ini diterbitkan sebagai sumber tertutup. Namun, anda dapat menggunakannya secara bebas dan tanpa batasan apa pun – pelajari lebih lanjut di sini.
Pernyataan Penyangkalan
Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.