Candlestick Patterns

Three Black Crows

Introduction

Create a new Three Black Crows candlestick pattern to indicate the pattern's presence.

Using ThreeBlackCrows Indicator

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

    public override void Initialize()
    {
        _symbol = AddEquity("SPY", Resolution.Daily).Symbol;
        _threeblackcrows = ThreeBlackCrows(SPY);
    }

    public override void OnData(Slice data)
    {
        if (_threeblackcrows.IsReady)
        {
            Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows);
        }
    }
}
class ThreeBlackCrowsAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.threeblackcrows = self.ThreeBlackCrows(SPY)

    def OnData(self, slice: Slice) -> None:
        if self.threeblackcrows.IsReady:
            self.Plot("ThreeBlackCrows", "threeblackcrows", self.threeblackcrows.Current.Value)

The following reference table describes the ThreeBlackCrows method:

ThreeBlackCrows()1/1

            ThreeBlackCrows QuantConnect.Algorithm.CandlestickPatterns.ThreeBlackCrows (
    Symbol                            symbol,
    *Nullable<Resolution>       resolution,
    *Func<IBaseData, TradeBar>  selector
   )

Creates a new ThreeBlackCrows 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 ThreeBlackCrows 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 ThreeBlackCrowsAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private ThreeBlackCrows _threeblackcrows;

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

    public override void OnData(Slice data)
    {
        if (data.Bars.TryGeValue(_symbol, out var bar))
        {      
            _threeblackcrows.Update(bar);
        }

        if (_threeblackcrows.IsReady)
        {
            Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows);
        }
    }
}
class ThreeBlackCrowsAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.threeblackcrows = ThreeBlackCrows(SPY)

    def OnData(self, slice: Slice) -> None:
        bar = data.Bars.get(self.symbol)
        if bar:
            self.threeblackcrows.Update(bar)

        if self.threeblackcrows.IsReady:
            self.Plot("ThreeBlackCrows", "threeblackcrows", self.threeblackcrows.Current.Value)

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

public class ThreeBlackCrowsAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private ThreeBlackCrows _threeblackcrows;

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

    public override void OnData(Slice data)
    {
        if (_threeblackcrows.IsReady)
        {
            Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows);
        }
    }
}
class ThreeBlackCrowsAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.threeblackcrows = ThreeBlackCrows(SPY)
        self.RegisterIndicator(self.symbol, self.threeblackcrows, Resolution.Daily)

    def OnData(self, slice: Slice) -> None:
        if self.threeblackcrows.IsReady:
            self.Plot("ThreeBlackCrows", "threeblackcrows", self.threeblackcrows.Current.Value)

The following reference table describes the ThreeBlackCrows constructor:

ThreeBlackCrows()1/2

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

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

ThreeBlackCrows()2/2

            ThreeBlackCrows QuantConnect.Indicators.CandlestickPatterns.ThreeBlackCrows (
    
   )

Initializes a new instance of the ThreeBlackCrow class.

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