Supported Indicators
Mass Index
Introduction
The Mass Index uses the high-low range to identify trend reversals based on range expansions. In this sense, the Mass Index is a volatility indicator that does not have a directional bias. Instead, the Mass Index identifies range bulges that can foreshadow a reversal of the current trend. Developed by Donald Dorsey.
To view the implementation of this indicator, see the LEAN GitHub repository.
Using MASS Indicator
To create an automatic indicator for MassIndex, call the MASSmass helper method from the QCAlgorithm class. The MASSmass method creates a MassIndex 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 MassIndexAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private MassIndex _mass;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_mass = MASS(_symbol, 9, 25);
}
public override void OnData(Slice data)
{
if (_mass.IsReady)
{
// The current value of _mass is represented by itself (_mass)
// or _mass.Current.Value
Plot("MassIndex", "mass", _mass);
}
}
} class MassIndexAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._mass = self.mass(self._symbol, 9, 25)
def on_data(self, slice: Slice) -> None:
if self._mass.is_ready:
# The current value of self._mass is represented by self._mass.current.value
self.plot("MassIndex", "mass", self._mass.current.value)For more information about this method, see the QCAlgorithm classQCAlgorithm class.
You can manually create a MassIndex 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. The indicator will only be ready after you prime it with enough data.
public class MassIndexAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private MassIndex _massindex;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_massindex = new MassIndex(9, 25);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
_massindex.Update(bar);
if (_massindex.IsReady)
{
// The current value of _massindex is represented by itself (_massindex)
// or _massindex.Current.Value
Plot("MassIndex", "massindex", _massindex);
}
}
} class MassIndexAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._massindex = MassIndex(9, 25)
def on_data(self, slice: Slice) -> None:
bar = slice.bars.get(self._symbol)
if bar:
self._massindex.update(bar)
if self._massindex.is_ready:
# The current value of self._massindex is represented by self._massindex.current.value
self.plot("MassIndex", "massindex", self._massindex.current.value)For more information about this indicator, see its referencereference.
Indicator History
To get the historical data of the MassIndex indicator, call the IndicatorHistoryself.indicator_history method. This method resets your indicator, makes a history request, and updates the indicator with the historical data. Just like with regular history requests, the IndicatorHistoryindicator_history method supports time periods based on a trailing number of bars, a trailing period of time, or a defined period of time. If you don't provide a resolution argument, it defaults to match the resolution of the security subscription.
public class MassIndexAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private MassIndex _mass;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_mass = MASS(_symbol, 9, 25);
var indicatorHistory = IndicatorHistory(_mass, _symbol, 100, Resolution.Minute);
var timeSpanIndicatorHistory = IndicatorHistory(_mass, _symbol, TimeSpan.FromDays(10), Resolution.Minute);
var timePeriodIndicatorHistory = IndicatorHistory(_mass, _symbol, new DateTime(2024, 7, 1), new DateTime(2024, 7, 5), Resolution.Minute);
}
} class MassIndexAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._mass = self.mass(self._symbol, 9, 25)
indicator_history = self.indicator_history(self._mass, self._symbol, 100, Resolution.MINUTE)
timedelta_indicator_history = self.indicator_history(self._mass, self._symbol, timedelta(days=10), Resolution.MINUTE)
time_period_indicator_history = self.indicator_history(self._mass, self._symbol, datetime(2024, 7, 1), datetime(2024, 7, 5), Resolution.MINUTE)
