Candlestick Patterns

Harami

Introduction

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

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

Using Harami Indicator

To create an automatic indicators for Harami, call the Harami helper method from the QCAlgorithm class. The Harami method creates a Harami 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 HaramiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private Harami _harami;

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

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

    def on_data(self, slice: Slice) -> None:
        if self.harami.IsReady:
            # The current value of self.harami is represented by self.harami.Current.Value
            self.plot("Harami", "harami", self.harami.Current.Value)

The following reference table describes the Harami method:

Harami()1/1

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

Creates a new Harami 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 Harami 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 with a TradeBar. The indicator will only be ready after you prime it with enough data.

public class HaramiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private Harami _harami;

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

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

    def on_data(self, slice: Slice) -> None:
        bar = slice.Bars.get(self.symbol)
        if bar:
            self.harami.Update(bar)
        if self.harami.IsReady:
            # The current value of self.harami is represented by self.harami.Current.Value
            self.plot("Harami", "harami", self.harami.Current.Value)

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

public class HaramiAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private Harami _harami;

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

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

    def on_data(self, slice: Slice) -> None:
        if self.harami.IsReady:
            # The current value of self.harami is represented by self.harami.Current.Value
            self.plot("Harami", "harami", self.harami.Current.Value)

The following reference table describes the Harami constructor:

Harami()1/2

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

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

Harami()2/2

            Harami QuantConnect.Indicators.CandlestickPatterns.Harami (
    
   )

Initializes a new instance of the Harami class.

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