|Visual Basic (Declaration)|
Public Overloads Shared Function UpperBollingerBands( _ ByVal seriesName As String, _ ByVal s As Series, _ ByVal elementValue As ElementValue, _ ByVal standardDeviationLevel As Double, _ ByVal lengthOfMA As Integer _ ) As Series
|Visual Basic (Usage)||Copy Code|
public static Series UpperBollingerBands( string seriesName, Series s, ElementValue elementValue, double standardDeviationLevel, int lengthOfMA )
- The name of the series which will be displayed on the chart, i.e. its label.
- An series where the first term correspond the latest periods price and the previous element is the value of the element before that and so on... The length of this series is equal to the number of periods used in the evaluation of the standard deviation.
- Specifies the particular element value (for example High, Low, Close or Open of the financial time series) which will be considered within this indicator evaluation. In particular, if you wish to use the element value high then you should pass the parameter High. In a similarly fashion if you wish to use the low, close or open, then you should pass the parameter Low, Close, Open, respectively.
- The (positive) number of standard deviations which the lower band in shifted from the moving average.
- The length of the moving average used within the evaluation of the Bollinger Bands. Note that this also corresponds to the length of the period over which the standard deviation is evaluated.
Return ValueA series where the first term corresponds to the value of the Upper Bollinger Band for the latest periods, the second terms to the previous period and so on.
|ArgumentException||Throw if the series historicalPrices is empty or if the number of standard deviations given (i.e. the parameter standardDeviationsLevel)is a negative number.|
Please note that by standard deviation level we not only refer to the number of standard deviations shifts away from the moving average at which the Higher Bollinger Band is drawn but also the number of time series points which are used in the evaluation of the standard deviation and the moving average.