Candlestick Patterns

Rise Fall Three Methods

Introduction

Create a new Rise Fall Three Methods candlestick pattern to indicate the pattern's presence.

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

Using RiseFallThreeMethods Indicator

To create an automatic indicator for RiseFallThreeMethods, call the RiseFallThreeMethodsrise_fall_three_methods helper method from the QCAlgorithm class. The RiseFallThreeMethodsrise_fall_three_methods method creates a RiseFallThreeMethods 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 RiseFallThreeMethodsAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private RiseFallThreeMethods _riseFallThreeMethods;

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

    public override void OnData(Slice data)
    {
        if (_riseFallThreeMethods.IsReady)
        {
            // The current value of _riseFallThreeMethods is represented by itself (_riseFallThreeMethods)
            // or _riseFallThreeMethods.Current.Value
            Plot("RiseFallThreeMethods", "riseFallThreeMethods", _riseFallThreeMethods);
        }
    }
}
class RiseFallThreeMethodsAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._rise_fall_three_methods = self.candlestick_patterns.rise_fall_three_methods(self._symbol)

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

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

You can manually create a RiseFallThreeMethods 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 RiseFallThreeMethodsAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private RiseFallThreeMethods _riseFallThreeMethods;

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

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

        if (_riseFallThreeMethods.IsReady)
        {
            // The current value of _riseFallThreeMethods is represented by itself (_riseFallThreeMethods)
            // or _riseFallThreeMethods.Current.Value
            Plot("RiseFallThreeMethods", "riseFallThreeMethods", _riseFallThreeMethods);
        }
    }
}
class RiseFallThreeMethodsAlgorithm(QCAlgorithm):
    def initialize(self) -> None:
        self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
        self._rise_fall_three_methods = RiseFallThreeMethods()

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

        if self._rise_fall_three_methods.is_ready:
            # The current value of self._rise_fall_three_methods is represented by self._rise_fall_three_methods.current.value
            self.plot("RiseFallThreeMethods", "rise_fall_three_methods", self._rise_fall_three_methods.current.value)

For more information about this indicator, see its referencereference.

Indicator History

To get the historical data of the RiseFallThreeMethods 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 RiseFallThreeMethodsAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private RiseFallThreeMethods _riseFallThreeMethods;

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

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

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

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