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 Initialize
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 OnData(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<Resolution>
resolution,*Func<IBaseData, TradeBar>
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 Update
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.TryGeValue(_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 OnData(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 OnData(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.