Candlestick Patterns
Takuri
Introduction
Create a new Takuri (Dragonfly Doji with very long lower shadow) candlestick pattern indicator to indicate the pattern's presence.
To view the implementation of this candlestick pattern, see the LEAN GitHub repository.
Using Takuri Indicator
To create an automatic indicators for Takuri
, call the Takuri
helper method from the QCAlgorithm
class. The Takuri
method creates a Takuri
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 TakuriAlgorithm : QCAlgorithm { private Symbol _symbol; private Takuri _takuri; public override void Initialize() { _symbol = AddEquity("SPY", Resolution.Daily).Symbol; _takuri = CandlestickPatterns.Takuri(_symbol); } public override void OnData(Slice data) { if (_takuri.IsReady) { // The current value of _takuri is represented by itself (_takuri) // or _takuri.Current.Value Plot("Takuri", "takuri", _takuri); } } }
class TakuriAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.takuri = self.CandlestickPatterns.Takuri(self.symbol) def OnData(self, slice: Slice) -> None: if self.takuri.IsReady: # The current value of self.takuri is represented by self.takuri.Current.Value self.Plot("Takuri", "takuri", self.takuri.Current.Value)
The following reference table describes the Takuri
method:
Takuri()1/1
Takuri QuantConnect.Algorithm.CandlestickPatterns.Takuri (Symbol
symbol,*Nullable<Decimal>
resolution,*Func<IBaseData, IBaseDataBar>
selector )
Creates a new Takuri
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 Takuri
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 TakuriAlgorithm : QCAlgorithm { private Symbol _symbol; private Takuri _takuri; public override void Initialize() { _symbol = AddEquity("SPY", Resolution.Daily).Symbol; _takuri = new Takuri(); } public override void OnData(Slice data) { if (data.Bars.TryGeValue(_symbol, out var bar)) { _takuri.Update(bar); } if (_takuri.IsReady) { // The current value of _takuri is represented by itself (_takuri) // or _takuri.Current.Value Plot("Takuri", "takuri", _takuri); } } }
class TakuriAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.takuri = Takuri() def OnData(self, slice: Slice) -> None: bar = slice.Bars.get(self.symbol) if bar: self.takuri.Update(bar) if self.takuri.IsReady: # The current value of self.takuri is represented by self.takuri.Current.Value self.Plot("Takuri", "takuri", self.takuri.Current.Value)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicator
method.
public class TakuriAlgorithm : QCAlgorithm { private Symbol _symbol; private Takuri _takuri; public override void Initialize() { _symbol = AddEquity("SPY", Resolution.Daily).Symbol; _takuri = new Takuri(); RegisterIndicator(_symbol, _takuri, Resolution.Daily); } public override void OnData(Slice data) { if (_takuri.IsReady) { // The current value of _takuri is represented by itself (_takuri) // or _takuri.Current.Value Plot("Takuri", "takuri", _takuri); } } }
class TakuriAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol self.takuri = Takuri() self.RegisterIndicator(self.symbol, self.takuri, Resolution.Daily) def OnData(self, slice: Slice) -> None: if self.takuri.IsReady: # The current value of self.takuri is represented by self.takuri.Current.Value self.Plot("Takuri", "takuri", self.takuri.Current.Value)
The following reference table describes the Takuri
constructor:
Takuri()1/2
Takuri QuantConnect.Indicators.CandlestickPatterns.Takuri (
string
name
)
Initializes a new instance of the Takuri
class using the specified name.
Takuri()2/2
Takuri QuantConnect.Indicators.CandlestickPatterns.Takuri ( )
Initializes a new instance of the Takuri
class.