Supported Indicators

Average Range

Introduction

This indicator represents the Average Range (AR) indicator, which calculates the average price range

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

Using AR Indicator

To create an automatic indicator for AverageRange, call the ARar helper method from the QCAlgorithm class. The ARar method creates a AverageRange 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 AverageRangeAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private AverageRange _ar;

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

    public override void OnData(Slice data)
    {

        if (_ar.IsReady)
        {
            // The current value of _ar is represented by itself (_ar)
            // or _ar.Current.Value
            Plot("AverageRange", "ar", _ar);
        }
    }
}
class AverageRangeAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._ar = self.ar(self._symbol, 20)

    def on_data(self, slice: Slice) -> None:

        if self._ar.is_ready:
            # The current value of self._ar is represented by self._ar.current.value
            self.plot("AverageRange", "ar", self._ar.current.value)

For more information about this method, see the QCAlgorithm classQCAlgorithm class.

You can manually create a AverageRange 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. The indicator will only be ready after you prime it with enough data.

public class AverageRangeAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private AverageRange _averagerange;

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

    public override void OnData(Slice data)
    {
        if (data.Bars.TryGetValue(_symbol, out var bar))
            _averagerange.Update(bar);

        if (_averagerange.IsReady)
        {
            // The current value of _averagerange is represented by itself (_averagerange)
            // or _averagerange.Current.Value
            Plot("AverageRange", "averagerange", _averagerange);
        }
    }
}
class AverageRangeAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._averagerange = AverageRange(20)

    def on_data(self, slice: Slice) -> None:
        bar = slice.bars.get(self._symbol)
        if bar:
            self._averagerange.update(bar)

        if self._averagerange.is_ready:
            # The current value of self._averagerange is represented by self._averagerange.current.value
            self.plot("AverageRange", "averagerange", self._averagerange.current.value)

For more information about this indicator, see its referencereference.

Visualization

The following plot shows values for some of the AverageRange indicator properties:

AverageRange line plot.

Indicator History

To get the historical data of the AverageRange indicator, call the IndicatorHistoryself.indicator_history method. This method resets your indicator, makes a history request, and updates the indicator with the historical data. Just like with regular history requests, the IndicatorHistoryindicator_history method supports time periods based on a trailing number of bars, a trailing period of time, or a defined period of time. If you don't provide a resolution argument, it defaults to match the resolution of the security subscription. 

public class AverageRangeAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private AverageRange _ar;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _ar = AR(_symbol, 20);

        var indicatorHistory = IndicatorHistory(_ar, _symbol, 100, Resolution.Minute);
        var timeSpanIndicatorHistory = IndicatorHistory(_ar, _symbol, TimeSpan.FromDays(10), Resolution.Minute);
        var timePeriodIndicatorHistory = IndicatorHistory(_ar, _symbol, new DateTime(2024, 7, 1), new DateTime(2024, 7, 5), Resolution.Minute);
    }
}
class AverageRangeAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._ar = self.ar(self._symbol, 20)

        indicator_history = self.indicator_history(self._ar, self._symbol, 100, Resolution.MINUTE)
        timedelta_indicator_history = self.indicator_history(self._ar, self._symbol, timedelta(days=10), Resolution.MINUTE)
        time_period_indicator_history = self.indicator_history(self._ar, self._symbol, datetime(2024, 7, 1), datetime(2024, 7, 5), Resolution.MINUTE)

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