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).
Note di rilascio: Refactored
Script open-source

Nello spirito di condivisione promosso da TradingView, l'autore (al quale vanno i nostri ringraziamenti) ha deciso di pubblicare questo script in modalità open-source, così che chiunque possa comprenderlo e testarlo. Puoi utilizzarlo gratuitamente, ma il riutilizzo del codice è subordinato al rispetto del Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

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Commenti

you make me read all that stuff online about this osc, thanks man!
+1 Rispondi
everget AlexMayorov
@AlexMayorov, this is not the end. There are Goodman & Kruskal', Somers' and Spearman' coefficients also)
+1 Rispondi
@everget, you may be put up some kind simple manual how to use them. very obscure osc§
+1 Rispondi
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 Rispondi
levith everget
@everget, Will you publish this source code? I'm looking forward to it!
Rispondi
everget levith
@levith, It has been published already
Rispondi
hi, i am not able to use self adjusting sar even you have grant permision on trial bais
Rispondi
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 Rispondi