PINE LIBRARY

Averages

Updated
Library "Averages"
Contains utilities for generating averages from arrays. Useful for manipulated or cleaned data.

triangular(src, startingWeight) Calculates the triangular weighted average of a set of values where the last value has the highest weight.
  Parameters:
    src: The array to derive the average from.
    startingWeight: The weight to begin with when calculating the average. Higher numbers will decrease the bias.

weighted(src, weights, weightDefault) Calculates the weighted average of a set of values.
  Parameters:
    src: The array to derive the average from.
    weights: The array containing the weights for the source.
    weightDefault: The default value to use when a weight is NA.

triangularWeighted(src, weights, startingWeight) Calculates the weighted average of a set of values where the last value has the highest triangular multiple.
  Parameters:
    src: The array to derive the average from.
    weights: The array containing the weights for the source.
    startingWeight: The multiple to begin with when calculating the average. Higher numbers will decrease the bias.

exponential(src) Calculates the exponential average of a set of values where the last value has the highest weight.
  Parameters:
    src: The array to derive the average from.

arrayFrom(src, len, omitNA) Creates an array from the provided series (oldest to newest).
  Parameters:
    src: The array to derive from.
    len: The target length of the array.
    omitNA: If true, NA values will not be added to the array and the resultant array may be shorter than the target length.
Release Notes
v2 Fixed doc param name
Release Notes
v3 Improved array from series function.
Release Notes
v4 fixed exponential calc.
Release Notes
v5 Fixed issue with exponential not tracking like ema.
Release Notes
v6
arrayarraysavearageaveragestriangularweighted

Pine library

In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in a publication is governed by House rules.

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