Class StandardDeviation

Namespace

FinanceSharp.Indicators

Assembly

FinanceSharp.dll

This indicator computes the n-period population standard deviation.

public class StandardDeviation : Variance, IIndicator, IUpdatable

Inheritance

object

IndicatorBase

WindowIndicator

Variance

StandardDeviation

Implements

IIndicator

IUpdatable

Inherited Members

Variance.WarmUpPeriod

Variance.Reset()

WindowIndicator.Period

WindowIndicator.IsReady

WindowIndicator.Forward(long, DoubleArray)

IndicatorBase.Updated

IndicatorBase.Resetted

IndicatorBase.Name

IndicatorBase.Current

IndicatorBase.CurrentTime

IndicatorBase.OutputCount

IndicatorBase.Properties

IndicatorBase.InputProperties

IndicatorBase.Samples

IndicatorBase.Update<TStruct>(long, TStruct)

IndicatorBase.Update(long, double)

IndicatorBase.Update(long, DoubleArray)

IndicatorBase.OnReset()

IndicatorBase.Equals(object)

IndicatorBase.ToString()

IndicatorBase.ToDetailedString()

IndicatorBase.OnUpdated(long, DoubleArray)

IndicatorBase.AssertTrue(bool)

IndicatorBase.AssertTrue(bool, string)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Extension Methods

IndicatorExtensions.ArrayWindow(IUpdatable, int, bool, string)

IndicatorExtensions.Delay(IUpdatable, int, bool, string)

IndicatorExtensions.EMA(IUpdatable, int, double?, bool)

IndicatorExtensions.Explode(IUpdatable, bool)

IndicatorExtensions.ExtractName(IUpdatable)

IndicatorExtensions.Function(IUpdatable, UnaryArrayFunctionHandler, ArraySelectorFunctionHandler, bool, string)

IndicatorExtensions.Function(IUpdatable, UnaryFunctionHandler, SelectorFunctionHandler, bool, string)

IndicatorExtensions.MAX(IUpdatable, int, bool)

IndicatorExtensions.MIN(IUpdatable, int, bool)

IndicatorExtensions.Minus(IUpdatable, IUpdatable, CompositionMethod)

IndicatorExtensions.Minus(IUpdatable, IUpdatable, string, CompositionMethod)

IndicatorExtensions.Minus(IUpdatable, double)

IndicatorExtensions.Over(IUpdatable, IUpdatable, CompositionMethod)

IndicatorExtensions.Over(IUpdatable, IUpdatable, string, CompositionMethod)

IndicatorExtensions.Over(IUpdatable, double)

IndicatorExtensions.Plus(IUpdatable, IUpdatable, CompositionMethod)

IndicatorExtensions.Plus(IUpdatable, IUpdatable, string, CompositionMethod)

IndicatorExtensions.Plus(IUpdatable, double)

IndicatorExtensions.SMA(IUpdatable, int, bool)

IndicatorExtensions.Select(IUpdatable, ArraySelectorFunctionHandler, int, int, bool, string)

IndicatorExtensions.Select(IUpdatable, SelectorFunctionHandler, bool, string)

IndicatorExtensions.Slice(IUpdatable, int, int, string, bool)

IndicatorExtensions.Slice(IUpdatable, int, string, bool)

IndicatorExtensions.SliceProperty(IUpdatable, int, int, string, bool)

IndicatorExtensions.SliceProperty(IUpdatable, int, string, bool)

IndicatorExtensions.ThenToList(IUpdatable, bool, bool)

IndicatorExtensions.Then<T>(IUpdatable, T, bool)

IndicatorExtensions.Times(IUpdatable, IUpdatable, CompositionMethod)

IndicatorExtensions.Times(IUpdatable, IUpdatable, string, CompositionMethod)

IndicatorExtensions.Times(IUpdatable, double)

IndicatorExtensions.WeightedBy<TWeight>(IUpdatable, TWeight, int, CompositionMethod)

IndicatorExtensions.Window(IUpdatable, int, bool, string)

IndicatorExtensions.Minus(IndicatorBase, IndicatorBase, CompositionMethod)

IndicatorExtensions.Over(IndicatorBase, IndicatorBase, CompositionMethod)

IndicatorExtensions.Plus(IndicatorBase, IndicatorBase, CompositionMethod)

IndicatorExtensions.Times(IndicatorBase, IndicatorBase, CompositionMethod)

IndicatorExtensions.BreakOnUpdate<T>(T, int)

IndicatorExtensions.Of<T>(T, IUpdatable, bool)

StringExtensions.ConvertInvariant(object, Type)

StringExtensions.ConvertInvariant<T>(object)

Constructors

StandardDeviation(int)

Initializes a new instance of the StandardDeviation class with the specified period.

Evaluates the standard deviation of samples in the look-back period. On a data set of size N will use an N normalizer and would thus be biased if applied to a subset.

public StandardDeviation(int period)

Parameters

period int

The sample size of the standard deviation

StandardDeviation(string, int)

Initializes a new instance of the StandardDeviation class with the specified name and period.

Evaluates the standard deviation of samples in the look-back period. On a data set of size N will use an N normalizer and would thus be biased if applied to a subset.

public StandardDeviation(string name, int period)

Parameters

name string

The name of this indicator

period int

The sample size of the standard deviation

Methods

Forward(IReadOnlyWindow<long>, IReadOnlyWindow<DoubleArray>, long, DoubleArray)

Computes the next value of this indicator from the given state

protected override DoubleArray Forward(IReadOnlyWindow<long> timeWindow, IReadOnlyWindow<DoubleArray> window, long time, DoubleArray input)

Parameters

timeWindow IReadOnlyWindow<long>

window IReadOnlyWindow<DoubleArray>

The window for the input history

time long

input DoubleArray

The input given to the indicator

Returns

DoubleArray

A new value for this indicator