Candlestick Patterns

Long Legged Doji

Introduction

Create a new Long Legged Doji candlestick pattern to indicate the pattern's presence.

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

Using LongLeggedDoji Indicator

To create an automatic indicator for LongLeggedDoji, call the LongLeggedDojilong_legged_doji helper method from the QCAlgorithm class. The LongLeggedDojilong_legged_doji method creates a LongLeggedDoji 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 LongLeggedDojiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private LongLeggedDoji _longLeggedDoji;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _longLeggedDoji = CandlestickPatterns.LongLeggedDoji(_symbol);
    }

    public override void OnData(Slice data)
    {
        if (_longLeggedDoji.IsReady)
        {
            // The current value of _longLeggedDoji is represented by itself (_longLeggedDoji)
            // or _longLeggedDoji.Current.Value
            Plot("LongLeggedDoji", "longLeggedDoji", _longLeggedDoji);
        }
    }
}
class LongLeggedDojiAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._long_legged_doji = self.candlestick_patterns.long_legged_doji(self._symbol)

    def on_data(self, slice: Slice) -> None:
        if self._long_legged_doji.is_ready:
            # The current value of self._long_legged_doji is represented by self._long_legged_doji.current.value
            self.plot("LongLeggedDoji", "long_legged_doji", self._long_legged_doji.current.value)

For more information about this method, see the CandlestickPatterns classCandlestickPatterns class.

You can manually create a LongLeggedDoji 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 LongLeggedDojiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private LongLeggedDoji _longLeggedDoji;

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

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

        if (_longLeggedDoji.IsReady)
        {
            // The current value of _longLeggedDoji is represented by itself (_longLeggedDoji)
            // or _longLeggedDoji.Current.Value
            Plot("LongLeggedDoji", "longLeggedDoji", _longLeggedDoji);
        }
    }
}
class LongLeggedDojiAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._long_legged_doji = LongLeggedDoji()

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

        if self._long_legged_doji.is_ready:
            # The current value of self._long_legged_doji is represented by self._long_legged_doji.current.value
            self.plot("LongLeggedDoji", "long_legged_doji", self._long_legged_doji.current.value)

For more information about this indicator, see its referencereference.

Indicator History

To get the historical data of the LongLeggedDoji 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 LongLeggedDojiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private LongLeggedDoji _longLeggedDoji;

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _longLeggedDoji = CandlestickPatterns.LongLeggedDoji(_symbol);

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

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

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