Candlestick Patterns

Morning Star

Introduction

Create a new Morning Star candlestick pattern to indicate the pattern's presence.

Using MorningStar Indicator

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

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

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

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

The following reference table describes the MorningStar method:

MorningStar()1/1

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

Creates a new MorningStar 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 MorningStar 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 MorningStarAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private MorningStar _morningstar;

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

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

        if (_morningstar.IsReady)
        {
            Plot("MorningStar", "morningstar", _morningstar);
        }
    }
}
class MorningStarAlgorithm(QCAlgorithm):
    def Initialize(self) -> None:
        self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
        self.morningstar = MorningStar(SPY)

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

        if self.morningstar.IsReady:
            self.Plot("MorningStar", "morningstar", self.morningstar.Current.Value)

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

public class MorningStarAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private MorningStar _morningstar;

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

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

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

The following reference table describes the MorningStar constructor:

MorningStar()1/3

            MorningStar QuantConnect.Indicators.CandlestickPatterns.MorningStar (
    string    name,
    *decimal  penetration
   )

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

MorningStar()2/3

            MorningStar QuantConnect.Indicators.CandlestickPatterns.MorningStar (
    decimal  penetration
   )

Initializes a new instance of the MorningSta class.

MorningStar()3/3

            MorningStar QuantConnect.Indicators.CandlestickPatterns.MorningStar (
    
   )

Initializes a new instance of the MorningSta class.

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