# Kendall Rank Correlation For ThinkOrSwim

#### compupix

##### New member
Kendall Rank Correlation NET on SMA is an SMA that uses Kendall Rank Correlation to form a sort of noise elimination technology to smooth out trend shifts. You'll notice that the slope of the SMA line doesn't always match the color of the SMA line. This is behavior is expected and is the NET that removes noise from the SMA.

What is Kendall Rank Correlation?
Also commonly known as “Kendall’s tau coefficient”. Kendall’s Tau coefficient and Spearman’s rank correlation coefficient assess statistical associations based on the ranks of the data. Kendall rank correlation (non-parametric) is an alternative to Pearson’s correlation (parametric) when the data you’re working with has failed one or more assumptions of the test. This is also the best alternative to Spearman correlation (non-parametric) when your sample size is small and has many tied ranks.

Kendall rank correlation is used to test the similarities in the ordering of data when it is ranked by quantities. Other types of correlation coefficients use the observations as the basis of the correlation, Kendall’s correlation coefficient uses pairs of observations and determines the strength of association based on the patter on concordance and discordance between the pairs.

• Concordant: Ordered in the same way (consistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have the same sign.
• Discordant: Ordered differently (inconsistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have opposite signs.

Kendall’s Tau coefficient of correlation is usually smaller values than Spearman’s rho correlation. The calculations are based on concordant and discordant pairs. Insensitive to error. P values are more accurate with smaller sample sizes.

Has anyone translated the Kendall Rank Correlation NET study to ThinkScript? I've tried using several AI tools. None of them were able to produce something that would get past the ThinkorSwim syntax checker.

mod note:
script converted. see below

Last edited by a moderator:
Has anyone translated the Kendall Rank Correlation NET study to ThinkScript? I've tried using several AI tools. None of them were able to produce something that would get past the ThinkorSwim syntax checker.
check the below:
CSS:
``````#/ Indicator for TOS
#indicator("Kendall Rank Correlation NET on SMA [Loxx]", shorttitle="KRCNETSMA [Loxx]",
# Converted by Sam4Cok@Samer800    - 07/2024
input movAvgType = averageType.SIMPLE;
input Source  = close; #, "Source", group = "Basic Settings")
input movAvgPeriod = 14; #, "SMA Period", group = "Basic Settings")
input netPeriod = 5; #, "NET Period", group = "Basic Settings", minval = 1)
input colorBars = no; #, "Color bars?", group = "UI Options")

def na = Double.NaN;

def smaperout = max(movAvgPeriod, 1);
def netperout = max(netPeriod, 2);
def netd = 0.5 * netperout * (netperout - 1);

def val = MovingAverage(movAvgType, Source, movAvgPeriod);

def netNum = fold k = 0 to netperout - 1 with p do
fold j = 0 to k with q do
q -  if ((sign(val[k] - GetValue(val, j))) > 0) then 1 else
if ((sign(val[k] - GetValue(val, j))) < 0) then -1 else 0;

def net = netNum / netd;

def valc = if (net > 0) then 0 else
if (net < 0) then 1 else valc[1];
def col = if valc == 1 then -1 else if valc == 0 then 1 else 0;

plot Kendall = if val then val else na; #, color = colorout, linewidth = 3)
Kendall.SetLineWeight(2);
Kendall.AssignValueColor(if col > 0 then Color.CYAN else
if col < 0 then Color.MAGENTA else Color.GRAY);

AssignPriceColor(if !colorBars then Color.CURRENT else
if col > 0 then Color.GREEN else
if col < 0 then Color.RED else Color.GRAY);

#-- end of CODE``````

Last edited by a moderator:
Thanks Samer!

Kendall Rank Correlation NET on SMA is an SMA that uses Kendall Rank Correlation to form a sort of noise elimination technology to smooth out trend shifts. You'll notice that the slope of the SMA line doesn't always match the color of the SMA line. This is behavior is expected and is the NET that removes noise from the SMA.

What is Kendall Rank Correlation?
Also commonly known as “Kendall’s tau coefficient”. Kendall’s Tau coefficient and Spearman’s rank correlation coefficient assess statistical associations based on the ranks of the data. Kendall rank correlation (non-parametric) is an alternative to Pearson’s correlation (parametric) when the data you’re working with has failed one or more assumptions of the test. This is also the best alternative to Spearman correlation (non-parametric) when your sample size is small and has many tied ranks.

Kendall rank correlation is used to test the similarities in the ordering of data when it is ranked by quantities. Other types of correlation coefficients use the observations as the basis of the correlation, Kendall’s correlation coefficient uses pairs of observations and determines the strength of association based on the patter on concordance and discordance between the pairs.

• Concordant: Ordered in the same way (consistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have the same sign.
• Discordant: Ordered differently (inconsistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have opposite signs.

Kendall’s Tau coefficient of correlation is usually smaller values than Spearman’s rho correlation. The calculations are based on concordant and discordant pairs. Insensitive to error. P values are more accurate with smaller sample sizes.

Has anyone translated the Kendall Rank Correlation NET study to ThinkScript? I've tried using several AI tools. None of them were able to produce something that would get past the ThinkorSwim syntax checker.

" I've tried using several AI tools. None of them were able to produce something that would get past the ThinkorSwim syntax checker" here you got the unique SUPER AI, Mr @samer800

Last edited by a moderator:
As a financial analyst: Kaufman, Spearman, and Pearson's Correlations are the go-to instruments in my toolbox.

And while ToS has versions of these, as built-in indicators, even after hundreds of hours of customizing over the last six years, I have not been able to successfully incorporate these coefficients into my trading.

My conclusion is, when used in trading, with price and volume movement; the chaos and noise especially on the shorter aggregations clouds any chance of true statistical modeling.

My success rate in attempting to utilize correlations has been as poor as moving average strategies.

My hope is, that with this amazing port of @samer800, new eyes will look at this awesome statistical tool and provide their input on successfully incorporating it into our strategies.

Last edited:
As a financial analyst: Kaufman, Spearman, and Pearson's Correlations are the go-to instruments in my toolbox.

And while ToS has versions of these, as built-in indicators, even after hundreds of hours of customizing over the last six years, I have not been able to successfully incorporate these coefficients into my trading.

My conclusion is, when used in trading, with price and volume movement; the chaos and noise especially on the shorter aggregations clouds any chance of true statistical modeling.

My success rate in attempting to utilize correlations has been as poor as moving average strategies.

My hope is, that with this amazing port of @samer800, new eyes will look at this awesome statistical tool and provide their input on successfully incorporating it into our strategies.
@MerryDay , in your free time you should try Didi trading system ( ps: most of the related material is in Brazilian Portuguese). Worth
see my chart:

Last edited by a moderator:

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