Candlestick Patterns
Three Black Crows
Introduction
Create a new Three Black Crows candlestick pattern to indicate the pattern's presence.
To view the implementation of this candlestick pattern, see the LEAN GitHub repository.
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 = CandlestickPatterns.ThreeBlackCrows(_symbol); } public override void OnData(Slice data) { if (_threeblackcrows.IsReady) { // The current value of _threeblackcrows is represented by itself (_threeblackcrows) // or _threeblackcrows.Current.Value Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows); } } }
class ThreeBlackCrowsAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.threeblackcrows = self.CandlestickPatterns.ThreeBlackCrows(self.symbol) def OnData(self, slice: Slice) -> None: if self.threeblackcrows.IsReady: # The current value of self.threeblackcrows is represented by self.threeblackcrows.Current.Value 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(); } public override void OnData(Slice data) { if (data.Bars.TryGeValue(_symbol, out var bar)) { _threeblackcrows.Update(bar); } if (_threeblackcrows.IsReady) { // The current value of _threeblackcrows is represented by itself (_threeblackcrows) // or _threeblackcrows.Current.Value Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows); } } }
class ThreeBlackCrowsAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.threeblackcrows = ThreeBlackCrows() def OnData(self, slice: Slice) -> None: bar = slice.Bars.get(self.symbol) if bar: self.threeblackcrows.Update(bar) if self.threeblackcrows.IsReady: # The current value of self.threeblackcrows is represented by self.threeblackcrows.Current.Value 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(); RegisterIndicator(_symbol, _threeblackcrows, Resolution.Daily); } public override void OnData(Slice data) { if (_threeblackcrows.IsReady) { // The current value of _threeblackcrows is represented by itself (_threeblackcrows) // or _threeblackcrows.Current.Value Plot("ThreeBlackCrows", "threeblackcrows", _threeblackcrows); } } }
class ThreeBlackCrowsAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.threeblackcrows = ThreeBlackCrows() self.RegisterIndicator(self.symbol, self.threeblackcrows, Resolution.Daily) def OnData(self, slice: Slice) -> None: if self.threeblackcrows.IsReady: # The current value of self.threeblackcrows is represented by self.threeblackcrows.Current.Value 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 ThreeBlackCrows
class using the specified name.
ThreeBlackCrows()2/2
ThreeBlackCrows QuantConnect.Indicators.CandlestickPatterns.ThreeBlackCrows ( )
Initializes a new instance of the ThreeBlackCrows
class.