Spearman Rank Correlation Coefficient

I'm pleased to introduce this script in honor of the new array functions introduced to PineScript version 4.0. This update is a long time coming and opens the door to amazing scripting possibilities!


Named after Charles Spearman and denoted by the Greek letter ‘ρ’ (rho), the Spearman rank correlation coefficient is the nonparametric version of the Pearson correlation coefficient. Use the Spearman rank correlation when you have two ranked variables, and you want to see whether the two variables covary. That is, as one variable increases/decreases, the other variable tends to increase/decrease respectively.

It is best used to discover if two variables (and in this first version of the indicator, two ticker symbols) increase and decrease together. There are advantages to using this version of correlation vs. the Pearson R.


The value oscillates between +1 and -1.

  • A value of +1 means the two variables are perfectly correlated, that is they are increasing and decreasing together in perfect harmony.
  • A value of -1 means the two variables exhibit a perfect negative correlation, that is they increase and decrease oppositely.
  • A value of zero means the two variables are not correlated at all (noise).
הערות שחרור:
  • Removed the 'lookahead = true' parameter from the security function, not needed.
  • Fixed logic of duplicates to be more straightforward.
הערות שחרור:
  • Fixed issue with hLines.
הערות שחרור:
  • Updated symbol input to input.symbol.
הערות שחרור:
  • Fixed -1 index out of bounds exception.
הערות שחרור:
  • Removed index out of bound corner cases.

סקריפט קוד פתוח

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

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