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Study Name -
Skewness

 
 

Description

  • Skewness is a measure of the asymmetry of returns in the future which may be positive or negative
 

Interpretation

  • If input line values are skewed to the right of the data average, it indicates positive skewness
  • If input line values are skewed to the left of the data average, it indicates negative skewness
  • If the input line follows a balanced normal distribution, then the skewness is zero

For eg. A slope rises when it is above 20-day SMA and falls when it is below it

 
 

Default Parameters Used/Inputs

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  • Close Line
  • Bars
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Returns/Output

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Skewness of the stock at specified period

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Formula

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S(X,R)=3*[SMA(I[X],R)-Median(I[X],R)]/StdDev(I[X],R)
S(X,R) indicates skewness over a range

 
 
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