Candlestick Patterns

Hanging Man

Introduction

Create a new Hanging Man candlestick pattern indicator to indicate the pattern's presence.

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

Using HangingMan Indicator

To create an automatic indicators for HangingMan, call the HangingMan helper method from the QCAlgorithm class. The HangingMan method creates a HangingMan 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 Initialize method.

public class HangingManAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private HangingMan _hangingman;

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

    public override void OnData(Slice data)
    {
        if (_hangingman.IsReady)
        {
            // The current value of _hangingman is represented by itself (_hangingman)
            // or _hangingman.Current.Value
            Plot("HangingMan", "hangingman", _hangingman);
            
        }
    }
}
class HangingManAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.hangingman = self.CandlestickPatterns.HangingMan(self.symbol)

    def OnData(self, slice: Slice) -> None:
        if self.hangingman.IsReady:
            # The current value of self.hangingman is represented by self.hangingman.Current.Value
            self.Plot("HangingMan", "hangingman", self.hangingman.Current.Value)
            

The following reference table describes the HangingMan method:

HangingMan()1/1

            HangingMan QuantConnect.Algorithm.CandlestickPatterns.HangingMan (
    Symbol                                symbol,
    *Nullable<Decimal>              resolution,
    *Func<IBaseData, IBaseDataBar>  selector
   )
        

Creates a new HangingMan pattern indicator. 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 HangingMan 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 Update method with a TradeBar. The indicator will only be ready after you prime it with enough data.

public class HangingManAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private HangingMan _hangingman;

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

    public override void OnData(Slice data)
    {
        if (data.Bars.TryGetValue(_symbol, out var bar))
        {      
            _hangingman.Update(bar);
        }
   
        if (_hangingman.IsReady)
        {
            // The current value of _hangingman is represented by itself (_hangingman)
            // or _hangingman.Current.Value
            Plot("HangingMan", "hangingman", _hangingman);
            
        }
    }
}
class HangingManAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.hangingman = HangingMan()

    def OnData(self, slice: Slice) -> None:
        bar = slice.Bars.get(self.symbol)
        if bar:
            self.hangingman.Update(bar)
        if self.hangingman.IsReady:
            # The current value of self.hangingman is represented by self.hangingman.Current.Value
            self.Plot("HangingMan", "hangingman", self.hangingman.Current.Value)
            

To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.

public class HangingManAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private HangingMan _hangingman;

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

    public override void OnData(Slice data)
    {
        if (_hangingman.IsReady)
        {
            // The current value of _hangingman is represented by itself (_hangingman)
            // or _hangingman.Current.Value
            Plot("HangingMan", "hangingman", _hangingman);
            
        }
    }
}
class HangingManAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.hangingman = HangingMan()
        self.RegisterIndicator(self.symbol, self.hangingman, Resolution.Daily)

    def OnData(self, slice: Slice) -> None:
        if self.hangingman.IsReady:
            # The current value of self.hangingman is represented by self.hangingman.Current.Value
            self.Plot("HangingMan", "hangingman", self.hangingman.Current.Value)
            

The following reference table describes the HangingMan constructor:

HangingMan()1/2

            HangingMan QuantConnect.Indicators.CandlestickPatterns.HangingMan (
    string  name
   )
        

Initializes a new instance of the HangingMan class using the specified name.

HangingMan()2/2

            HangingMan QuantConnect.Indicators.CandlestickPatterns.HangingMan (
    
   )
        

Initializes a new instance of the HangingMan class.

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