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Correlation CoefficientThe correlation coefficient a concept from statistics is a measure of how well trends in the predicted values follow trends in the actual values in the past. It is a measure of how well the predicted values from a forecast model "fit" with the real-life data. The correlation coefficient is a number between 0 and 1. If there is no relationship between the predicted values and the actual values the correlation coefficient is 0 or very low (the predicted values are no better than random numbers). As the strength of the relationship between the predicted values and actual values increases so does the correlation coefficient. A perfect fit gives a coefficient of 1.0. Thus the higher the correlation coefficient the better. Syntax:Public Function CorrelationCoefficient(ByVal ACIn() As Double, ByVal BCIn() As Double, ByVal Lag As Long) As Double Parameters:
Example:
Dim TA4Net As New TA4Net.CTAFunctions("YOUR-REGISTRATION-CODE") Dim Result() As Double Dim CloseValues() As Double Dim OpenValues(,) As Double
' loading values to arrays CloseValues = GetCloseValues() OpenValues = GetOpenValues() ' calculating Technical Analysis function Result = TA4Net.CorrelationCoefficient(OpenValues, CloseValues, 14)
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