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 Initializeinitialize method.
public class WilderMovingAverageAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private WilderMovingAverage _wwma;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_wwma = WWMA(_symbol, 20);
}
public override void OnData(Slice data)
{
if (_wwma.IsReady)
{
// The current value of _wwma is represented by itself (_wwma)
// or _wwma.Current.Value
Plot("WilderMovingAverage", "wwma", _wwma);
}
}
} class WilderMovingAverageAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.wwma = self.WWMA(self.symbol, 20)
def on_data(self, slice: Slice) -> None:
if self.wwma.IsReady:
# The current value of self.wwma is represented by self.wwma.Current.Value
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 Updateupdate 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.TryGetValue(_symbol, out var bar))
{
_wwma.Update(bar.EndTime, bar.Close);
}
if (_wwma.IsReady)
{
// The current value of _wwma is represented by itself (_wwma)
// or _wwma.Current.Value
Plot("WilderMovingAverage", "wwma", _wwma);
}
}
} class WilderMovingAverageAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.wwma = WilderMovingAverage(20)
def on_data(self, slice: Slice) -> None:
bar = slice.Bars.get(self.symbol)
if bar:
self.wwma.Update(bar.EndTime, bar.Close)
if self.wwma.IsReady:
# The current value of self.wwma is represented by self.wwma.Current.Value
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)
{
// The current value of _wwma is represented by itself (_wwma)
// or _wwma.Current.Value
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 on_data(self, slice: Slice) -> None:
if self.wwma.IsReady:
# The current value of self.wwma is represented by self.wwma.Current.Value
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.
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