Supported Indicators
Kaufman Efficiency Ratio
Introduction
This indicator computes the Kaufman Efficiency Ratio (KER). The Kaufman Efficiency Ratio is calculated as explained here: https://www.marketvolume.com/technicalanalysis/efficiencyratio.asp
To view the implementation of this indicator, see the LEAN GitHub repository.
Using KER Indicator
To create an automatic indicators for KaufmanEfficiencyRatio, call the KER helper method from the QCAlgorithm class. The KER method creates a KaufmanEfficiencyRatio 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 KaufmanEfficiencyRatioAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private KaufmanEfficiencyRatio _ker;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_ker = KER(_symbol, 20);
}
public override void OnData(Slice data)
{
if (_ker.IsReady)
{
// The current value of _ker is represented by itself (_ker)
// or _ker.Current.Value
Plot("KaufmanEfficiencyRatio", "ker", _ker);
}
}
} class KaufmanEfficiencyRatioAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.ker = self.KER(self.symbol, 20)
def on_data(self, slice: Slice) -> None:
if self.ker.IsReady:
# The current value of self.ker is represented by self.ker.Current.Value
self.plot("KaufmanEfficiencyRatio", "ker", self.ker.Current.Value)
The following reference table describes the KER method:
KER()1/1
KaufmanEfficiencyRatio QuantConnect.Algorithm.QCAlgorithm.KER (
Symbol symbol,
*Int32 period,
*Nullable<Resolution> resolution,
*Func<IBaseData, Decimal> selector
)
Creates an KaufmanEfficiencyRatio indicator for the symbol. 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 KaufmanEfficiencyRatio 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 time/number pair or an IndicatorDataPoint. The indicator will only be ready after you prime it with enough data.
public class KaufmanEfficiencyRatioAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private KaufmanEfficiencyRatio _ker;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_ker = new KaufmanEfficiencyRatio(20);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
{
_ker.Update(bar.EndTime, bar.Close);
}
if (_ker.IsReady)
{
// The current value of _ker is represented by itself (_ker)
// or _ker.Current.Value
Plot("KaufmanEfficiencyRatio", "ker", _ker);
}
}
} class KaufmanEfficiencyRatioAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.ker = KaufmanEfficiencyRatio(20)
def on_data(self, slice: Slice) -> None:
bar = slice.Bars.get(self.symbol)
if bar:
self.ker.Update(bar.EndTime, bar.Close)
if self.ker.IsReady:
# The current value of self.ker is represented by self.ker.Current.Value
self.plot("KaufmanEfficiencyRatio", "ker", self.ker.Current.Value)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.
public class KaufmanEfficiencyRatioAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private KaufmanEfficiencyRatio _ker;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_ker = new KaufmanEfficiencyRatio(20);
RegisterIndicator(_symbol, _ker, Resolution.Daily);
}
public override void OnData(Slice data)
{
if (_ker.IsReady)
{
// The current value of _ker is represented by itself (_ker)
// or _ker.Current.Value
Plot("KaufmanEfficiencyRatio", "ker", _ker);
}
}
} class KaufmanEfficiencyRatioAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.ker = KaufmanEfficiencyRatio(20)
self.RegisterIndicator(self.symbol, self.ker, Resolution.Daily)
def on_data(self, slice: Slice) -> None:
if self.ker.IsReady:
# The current value of self.ker is represented by self.ker.Current.Value
self.plot("KaufmanEfficiencyRatio", "ker", self.ker.Current.Value)
The following reference table describes the KaufmanEfficiencyRatio constructor:
KaufmanEfficiencyRatio()1/2
KaufmanEfficiencyRatio QuantConnect.Indicators.KaufmanEfficiencyRatio (
string name,
int period
)
Initializes a new instance of the KaufmanEfficiencyRatio class using the specified name and period.
KaufmanEfficiencyRatio()2/2
KaufmanEfficiencyRatio QuantConnect.Indicators.KaufmanEfficiencyRatio (
int period
)
Initializes a new instance of the KaufmanEfficiencyRatio class using the specified period.
Visualization
The following image shows plot values of selected properties of KaufmanEfficiencyRatio using the plotly library.
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