Percentile Nearest Rank Using Arrays

Percentile Nearest Rank Using Arrays computes a rolling percentile rank the direct way: gather the last Length values, sort them, and return the value below which Percentage% of the window sits. Created with Alex Grover, it is less a signal generator than a statistical primitive from the order-statistic filters family: one input turns the same engine into a rolling median, a quartile envelope, or a rolling extreme.

How to Trade the Percentile Nearest Rank Using Arrays?

• Percentage 50: plots the rolling median, a robust read of trend direction that a single outlier can't drag around.
• Percentage 100 or 0: returns the rolling maximum or minimum, the statistic underneath stochastic normalization and Donchian-style channels.
• Percentage 75 / 25: the upper and lower rolling quartiles, bracketing the middle half of recent values.

Run two instances to frame a channel. The original release demonstrates a 75/25 interquartile band computed over a 100-bar window.

Percentile Nearest Rank Using Arrays Settings

• Length: the rolling window: how many past data points are ranked.
• Percentage: the 0-100 threshold; the output is the value with Percentage% of the window below it.
• Src: the series the percentile is computed on.

Frequently Asked Questions

How exactly is the percentile computed?

Which classic tools can it reproduce?

How do I access this indicator?