Supported Indicators
Parabolic Stop And Reverse
Introduction
Parabolic SAR Indicator Based on TA-Lib implementation
To view the implementation of this indicator, see the LEAN GitHub repository.
Using PSAR Indicator
To create an automatic indicators for ParabolicStopAndReverse, call the PSAR helper method from the QCAlgorithm class. The PSAR method creates a ParabolicStopAndReverse 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 ParabolicStopAndReverseAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ParabolicStopAndReverse _psar;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_psar = PSAR(_symbol, 0.02, 0.02, 0.2);
}
public override void OnData(Slice data)
{
if (_psar.IsReady)
{
// The current value of _psar is represented by itself (_psar)
// or _psar.Current.Value
Plot("ParabolicStopAndReverse", "psar", _psar);
}
}
} class ParabolicStopAndReverseAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.psar = self.PSAR(self.symbol, 0.02, 0.02, 0.2)
def on_data(self, slice: Slice) -> None:
if self.psar.IsReady:
# The current value of self.psar is represented by self.psar.Current.Value
self.plot("ParabolicStopAndReverse", "psar", self.psar.Current.Value)
The following reference table describes the PSAR method:
PSAR()1/1
ParabolicStopAndReverse QuantConnect.Algorithm.QCAlgorithm.PSAR (
Symbol symbol,
*Decimal afStart,
*Decimal afIncrement,
*Decimal afMax,
*Nullable<Resolution> resolution,
*Func<IBaseData, IBaseDataBar> selector
)
Creates a new Parabolic SAR indicator.
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 ParabolicStopAndReverse 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 or QuoteBar. The indicator will only be ready after you prime it with enough data.
public class ParabolicStopAndReverseAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ParabolicStopAndReverse _psar;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_psar = new ParabolicStopAndReverse(0.02, 0.02, 0.2);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
{
_psar.Update(bar);
}
if (_psar.IsReady)
{
// The current value of _psar is represented by itself (_psar)
// or _psar.Current.Value
Plot("ParabolicStopAndReverse", "psar", _psar);
}
}
} class ParabolicStopAndReverseAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.psar = ParabolicStopAndReverse(0.02, 0.02, 0.2)
def on_data(self, slice: Slice) -> None:
bar = slice.Bars.get(self.symbol)
if bar:
self.psar.Update(bar)
if self.psar.IsReady:
# The current value of self.psar is represented by self.psar.Current.Value
self.plot("ParabolicStopAndReverse", "psar", self.psar.Current.Value)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.
public class ParabolicStopAndReverseAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ParabolicStopAndReverse _psar;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_psar = new ParabolicStopAndReverse(0.02, 0.02, 0.2);
RegisterIndicator(_symbol, _psar, Resolution.Daily);
}
public override void OnData(Slice data)
{
if (_psar.IsReady)
{
// The current value of _psar is represented by itself (_psar)
// or _psar.Current.Value
Plot("ParabolicStopAndReverse", "psar", _psar);
}
}
} class ParabolicStopAndReverseAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.psar = ParabolicStopAndReverse(0.02, 0.02, 0.2)
self.RegisterIndicator(self.symbol, self.psar, Resolution.Daily)
def on_data(self, slice: Slice) -> None:
if self.psar.IsReady:
# The current value of self.psar is represented by self.psar.Current.Value
self.plot("ParabolicStopAndReverse", "psar", self.psar.Current.Value)
The following reference table describes the ParabolicStopAndReverse constructor:
ParabolicStopAndReverse()1/2
ParabolicStopAndReverse QuantConnect.Indicators.ParabolicStopAndReverse (
string name,
*decimal afStart,
*decimal afIncrement,
*decimal afMax
)
Create new Parabolic SAR.
ParabolicStopAndReverse()2/2
ParabolicStopAndReverse QuantConnect.Indicators.ParabolicStopAndReverse (
*decimal afStart,
*decimal afIncrement,
*decimal afMax
)
Create new Parabolic SAR.
Visualization
The following image shows plot values of selected properties of ParabolicStopAndReverse using the plotly library.
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