Supported Indicators
Chande Momentum Oscillator
Introduction
This indicator computes the Chande Momentum Oscillator (CMO). CMO calculation is mostly identical to RSI. The only difference is in the last step of calculation: RSI = gain / (gain+loss) CMO = (gain-loss) / (gain+loss)
To view the implementation of this indicator, see the LEAN GitHub repository.
Using CMO Indicator
To create an automatic indicators for ChandeMomentumOscillator, call the CMO helper method from the QCAlgorithm class. The CMO method creates a ChandeMomentumOscillator 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 ChandeMomentumOscillatorAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ChandeMomentumOscillator _cmo;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_cmo = CMO(_symbol, 20);
}
public override void OnData(Slice data)
{
if (_cmo.IsReady)
{
// The current value of _cmo is represented by itself (_cmo)
// or _cmo.Current.Value
Plot("ChandeMomentumOscillator", "cmo", _cmo);
}
}
} class ChandeMomentumOscillatorAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.cmo = self.CMO(self.symbol, 20)
def OnData(self, slice: Slice) -> None:
if self.cmo.IsReady:
# The current value of self.cmo is represented by self.cmo.Current.Value
self.Plot("ChandeMomentumOscillator", "cmo", self.cmo.Current.Value)
The following reference table describes the CMO method:
CMO()1/1
ChandeMomentumOscillator QuantConnect.Algorithm.QCAlgorithm.CMO (
Symbol symbol,
Int32 period,
*Nullable<Resolution> resolution,
*Func<IBaseData, Decimal> selector
)
Creates a new ChandeMomentumOscillator 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 ChandeMomentumOscillator 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 time/number pair, or an IndicatorDataPoint. The indicator will only be ready after you prime it with enough data.
public class ChandeMomentumOscillatorAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ChandeMomentumOscillator _cmo;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_cmo = new ChandeMomentumOscillator(20);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGeValue(_symbol, out var bar))
{
_cmo.Update(bar.EndTime, bar.Close);
}
if (_cmo.IsReady)
{
// The current value of _cmo is represented by itself (_cmo)
// or _cmo.Current.Value
Plot("ChandeMomentumOscillator", "cmo", _cmo);
}
}
} class ChandeMomentumOscillatorAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.cmo = ChandeMomentumOscillator(20)
def OnData(self, slice: Slice) -> None:
bar = slice.Bars.get(self.symbol)
if bar:
self.cmo.Update(bar.EndTime, bar.Close)
if self.cmo.IsReady:
# The current value of self.cmo is represented by self.cmo.Current.Value
self.Plot("ChandeMomentumOscillator", "cmo", self.cmo.Current.Value)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.
public class ChandeMomentumOscillatorAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private ChandeMomentumOscillator _cmo;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_cmo = new ChandeMomentumOscillator(20);
RegisterIndicator(_symbol, _cmo, Resolution.Daily);
}
public override void OnData(Slice data)
{
if (_cmo.IsReady)
{
// The current value of _cmo is represented by itself (_cmo)
// or _cmo.Current.Value
Plot("ChandeMomentumOscillator", "cmo", _cmo);
}
}
} class ChandeMomentumOscillatorAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self.symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.cmo = ChandeMomentumOscillator(20)
self.RegisterIndicator(self.symbol, self.cmo, Resolution.Daily)
def OnData(self, slice: Slice) -> None:
if self.cmo.IsReady:
# The current value of self.cmo is represented by self.cmo.Current.Value
self.Plot("ChandeMomentumOscillator", "cmo", self.cmo.Current.Value)
The following reference table describes the ChandeMomentumOscillator constructor:
ChandeMomentumOscillator()1/2
ChandeMomentumOscillator QuantConnect.Indicators.ChandeMomentumOscillator (
int period
)
Initializes a new instance of the ChandeMomentumOscillator class using the specified period.
ChandeMomentumOscillator()2/2
ChandeMomentumOscillator QuantConnect.Indicators.ChandeMomentumOscillator (
string name,
int period
)
Initializes a new instance of the ChandeMomentumOscillator class using the specified name and period.
Visualization
The following image shows plot values of selected properties of ChandeMomentumOscillator using the plotly library.
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