Supported Indicators

Ultimate Oscillator

Introduction

This indicator computes the Ultimate Oscillator (ULTOSC) The Ultimate Oscillator is calculated as explained here: http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ultimate_oscillator

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

Using ULTOSC Indicator

To create an automatic indicator for UltimateOscillator, call the ULTOSCultosc helper method from the QCAlgorithm class. The ULTOSCultosc method creates a UltimateOscillator 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 UltimateOscillatorAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private UltimateOscillator _ultosc;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _ultosc = ULTOSC(_symbol, 5, 10, 20);
    }

    public override void OnData(Slice data)
    {

        if (_ultosc.IsReady)
        {
            // The current value of _ultosc is represented by itself (_ultosc)
            // or _ultosc.Current.Value
            Plot("UltimateOscillator", "ultosc", _ultosc);
        }
    }
}
class UltimateOscillatorAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._ultosc = self.ultosc(self._symbol, 5, 10, 20)

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

        if self._ultosc.is_ready:
            # The current value of self._ultosc is represented by self._ultosc.current.value
            self.plot("UltimateOscillator", "ultosc", self._ultosc.current.value)

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

You can manually create a UltimateOscillator 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 UltimateOscillatorAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private UltimateOscillator _ultimateoscillator;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _ultimateoscillator = new UltimateOscillator(5, 10, 20);
    }

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

        if (_ultimateoscillator.IsReady)
        {
            // The current value of _ultimateoscillator is represented by itself (_ultimateoscillator)
            // or _ultimateoscillator.Current.Value
            Plot("UltimateOscillator", "ultimateoscillator", _ultimateoscillator);
        }
    }
}
class UltimateOscillatorAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._ultimateoscillator = UltimateOscillator(5, 10, 20)

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

        if self._ultimateoscillator.is_ready:
            # The current value of self._ultimateoscillator is represented by self._ultimateoscillator.current.value
            self.plot("UltimateOscillator", "ultimateoscillator", self._ultimateoscillator.current.value)

For more information about this indicator, see its referencereference.

Visualization

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

UltimateOscillator line plot.

Indicator History

To get the historical data of the UltimateOscillator 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 UltimateOscillatorAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private UltimateOscillator _ultosc;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _ultosc = ULTOSC(_symbol, 5, 10, 20);

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

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

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