﻿ DStochastic(SeriesCollection,Int32,Int32,Int32) Method
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 dotnetCHARTING Namespace > FinancialEngine Class > DStochastic Method : DStochastic(SeriesCollection,Int32,Int32,Int32) Method

sc
A collection of series objects. For example, to evaluate this indicator for two series you will need to pass a series collection containing this two series.
noOfPeriods
An integer which represents the number of periods used over which the closing price is compared.
method
Determines the methods used for the evaluation of the moving average in accordance with the following key:
1. 1 = Simple moving average
2. 2 = Geometric moving average
3. 3 = Linearly weighted moving average
4. 4 = Exponentially Weighted Moving average within smoothing fact set to be 0.5.

For further details concerning the definition of these moving averages please see the accompanying PDF documentation or the API documentation for SimpleMovingAverage.

lengthOfMA
The number of periods over which the moving average is considered.
Evaluate the (general) %D Stochastic.

# Syntax

Visual Basic (Declaration)
Public Overloads Shared Function DStochastic( _
ByVal sc As SeriesCollection, _
ByVal noOfPeriods As Integer, _
ByVal method As Integer, _
ByVal lengthOfMA As Integer _
) As SeriesCollection
Visual Basic (Usage)Copy Code
Dim sc As SeriesCollection
Dim noOfPeriods As Integer
Dim method As Integer
Dim lengthOfMA As Integer
Dim value As SeriesCollection

value = FinancialEngine.DStochastic(sc, noOfPeriods, method, lengthOfMA)
C#
public static SeriesCollection DStochastic(
SeriesCollection sc,
int noOfPeriods,
int method,
int lengthOfMA
)

#### Parameters

sc
A collection of series objects. For example, to evaluate this indicator for two series you will need to pass a series collection containing this two series.
noOfPeriods
An integer which represents the number of periods used over which the closing price is compared.
method
Determines the methods used for the evaluation of the moving average in accordance with the following key:
1. 1 = Simple moving average
2. 2 = Geometric moving average
3. 3 = Linearly weighted moving average
4. 4 = Exponentially Weighted Moving average within smoothing fact set to be 0.5.

For further details concerning the definition of these moving averages please see the accompanying PDF documentation or the API documentation for SimpleMovingAverage.

lengthOfMA
The number of periods over which the moving average is considered.

# Remarks

This is just the moving average of the (fast) When the simple moving average is used and the moving average is take over three days, the resulting indicator to referred to as the K Stochastic.

As one would expect the Moving Average D of the K Stochastic depends on:

• MA Method - This is the method by which the moving average of the Stochastic K is evaluated. We offer a range of methods for the evaluation of the moving average, these include: simple, exponential, geometric, weighted, linearly weighted and exponentially weighted.

Remark When the simple moving average is used and it is evaluated over 3-days, then the D Stochastic reduces to what is known as the slow K Stochastic.