Candlestick Patterns

Ladder Bottom

Introduction

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

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

Using LadderBottom Indicator

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

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

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

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

The following reference table describes the LadderBottom method:

LadderBottom()1/1

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

Creates a new LadderBottom 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 LadderBottom 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 LadderBottomAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private LadderBottom _ladderbottom;

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

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

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

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

public class LadderBottomAlgorithm : QCAlgorithm
{
    private Symbol _symbol;
    private LadderBottom _ladderbottom;

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

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

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

The following reference table describes the LadderBottom constructor:

LadderBottom()1/2

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

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

LadderBottom()2/2

            LadderBottom QuantConnect.Indicators.CandlestickPatterns.LadderBottom (
    
   )

Initializes a new instance of the LadderBottom class.

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