Supported Indicators

Wilder Moving Average

Introduction

This indicator represents the moving average indicator defined by Welles Wilder in his book: New Concepts in Technical Trading Systems.

To view the implementation of this indicator, see the LEAN GitHub repository.

Using WWMA Indicator

To create an automatic indicators for WilderMovingAverage, call the WWMA helper method from the QCAlgorithm class. The WWMA method creates a WilderMovingAverage object, hooks it up for automatic updates, and returns it so you can used it in your algorithm. In most cases, you should call the helper method in the Initialize method.

public class WilderMovingAverageAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private WilderMovingAverage _wwma;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _wwma = WWMA("SPY", 20);
    }

    public override void OnData(Slice data)
    {
        if (_wwma.IsReady)
        {
            Plot("WilderMovingAverage", "wwma", _wwma);
        }
    }
}
class WilderMovingAverageAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.wwma = self.WWMA("SPY", 20)

    def OnData(self, slice: Slice) -> None:
        if self.wwma.IsReady:
            self.Plot("WilderMovingAverage", "wwma", self.wwma.Current.Value)

The following reference table describes the WWMA method:

WWMA()1/1

            WilderMovingAverage QuantConnect.Algorithm.QCAlgorithm.WWMA (
    Symbol                           symbol,
    Int32                            period,
    *Nullable<Resolution>      resolution,
    *Func<IBaseData, Decimal>  selector
   )

Creates a WilderMovingAverage indicator for the symbol. The indicator will be automatically updated on the given resolution.

If you don't provide a resolution, it defaults to the security resolution. If you provide a resolution, it must be greater than or equal to the resolution of the security. For instance, if you subscribe to hourly data for a security, you should update its indicator with data that spans 1 hour or longer.

For more information about the selector argument, see Alternative Price Fields.

For more information about plotting indicators, see Plotting Indicators.

You can manually create a WilderMovingAverage indicator, so it doesn't automatically update. Manual indicators let you update their values with any data you choose.

Updating your indicator manually enables you to control when the indicator is updated and what data you use to update it. To manually update the indicator, call the Update method with time/number pair, or an IndicatorDataPoint. The indicator will only be ready after you prime it with enough data.

public class WilderMovingAverageAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private WilderMovingAverage _wwma;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _wwma = new WilderMovingAverage(20);
    }

    public override void OnData(Slice data)
    {
        if (data.Bars.TryGeValue(_symbol, out var bar))
        {      
            _wwma.Update(bar.EndTime, bar.Close);
        }

        if (_wwma.IsReady)
        {
            Plot("WilderMovingAverage", "wwma", _wwma);
        }
    }
}
class WilderMovingAverageAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.wwma = WilderMovingAverage(20)

    def OnData(self, slice: Slice) -> None:
        bar = data.Bars.get(self.symbol)
        if bar:
            self.wwma.Update(bar.EndTime, bar.Close)

        if self.wwma.IsReady:
            self.Plot("WilderMovingAverage", "wwma", self.wwma.Current.Value)

To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.

public class WilderMovingAverageAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private WilderMovingAverage _wwma;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _wwma = new WilderMovingAverage(20);
        RegisterIndicator(_symbol, _wwma, Resolution.Daily);
    }

    public override void OnData(Slice data)
    {
        if (_wwma.IsReady)
        {
            Plot("WilderMovingAverage", "wwma", _wwma);
        }
    }
}
class WilderMovingAverageAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.wwma = WilderMovingAverage(20)
        self.RegisterIndicator(self.symbol, self.wwma, Resolution.Daily)

    def OnData(self, slice: Slice) -> None:
        if self.wwma.IsReady:
            self.Plot("WilderMovingAverage", "wwma", self.wwma.Current.Value)

The following reference table describes the WilderMovingAverage constructor:

WilderMovingAverage()1/2

            WilderMovingAverage QuantConnect.Indicators.WilderMovingAverage (
    string  name,
    int     period
   )

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

WilderMovingAverage()2/2

            WilderMovingAverage QuantConnect.Indicators.WilderMovingAverage (
    int  period
   )

Initializes a new instance of the WilderMovingAverage class with the default name and period.

Visualization

The following image shows plot values of selected properties of WilderMovingAverage using the plotly library.

WilderMovingAverage line plot.

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