everget

Kendall Rank Correlation Coefficient

Kendall Rank Correlation Coefficient script.

This way to measure the ordinal association between two measured quantities described by Maurice Kendall (1938, Biometrika, 30 (1–2): 81–89, "A New Measure of Rank Correlation").

In this script I compare Kendall Coefficient and Pearson Coefficient (using built-in "correlation" function).
Release Notes: Refactored
Skript med en öppen källkod

I sann TradingView-anda har författaren till detta skript publicerat det som öppen källkod, så att handlare kan förstå och verifiera det. Skål för författaren! Du kan använda den gratis men återanvändning av den här koden i en publikation regleras av våra Ordningsregler. Du kan göra den till favorit för att använda den i ett diagram.

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Kommentarer

you make me read all that stuff online about this osc, thanks man!
+1 Svara
everget AlexMayorov
@AlexMayorov, this is not the end. There are Goodman & Kruskal', Somers' and Spearman' coefficients also)
+1 Svara
@everget, you may be put up some kind simple manual how to use them. very obscure osc§
+1 Svara
everget AlexMayorov
@AlexMayorov, oh common
1) You have two symbols
2) You identified the direction of the first one
3) You decided to buy/sell the first one
4) If you see positive (> 0.7) correlation coefficient then you can apply the same trading action on the second one because correlation coefficients are the measure of the movements relationship of the two symbols.

Both Pearson (built-in script "Correlation Coefficient") and Kendall do the same thing - they measuse linear relationship between two time series.
+1 Svara
levith everget
@everget, Will you publish this source code? I'm looking forward to it!
Svara
everget levith
@levith, It has been published already
Svara
hi, i am not able to use self adjusting sar even you have grant permision on trial bais
Svara
everget PAWANGANDHARV
@PAWANGANDHARV,
1) I dont understand what you are talking about - if you asked for a trial - you got it for several days
2) That's another indicator and I dont know why your statement is here
+1 Svara