Supported Indicators
True Range
Introduction
This indicator computes the True Range (TR). The True Range is the greatest of the following values: value1 = distance from today's high to today's low. value2 = distance from yesterday's close to today's high. value3 = distance from yesterday's close to today's low.
To view the implementation of this indicator, see the LEAN GitHub repository.
Using TR Indicator
To create an automatic indicator for TrueRange, call the TRtr helper method from the QCAlgorithm class. The TRtr method creates a TrueRange 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 TrueRangeAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TrueRange _tr;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_tr = TR(_symbol);
}
public override void OnData(Slice data)
{
if (_tr.IsReady)
{
// The current value of _tr is represented by itself (_tr)
// or _tr.Current.Value
Plot("TrueRange", "tr", _tr);
}
}
} class TrueRangeAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._tr = self.tr(self._symbol)
def on_data(self, slice: Slice) -> None:
if self._tr.is_ready:
# The current value of self._tr is represented by self._tr.current.value
self.plot("TrueRange", "tr", self._tr.current.value)For more information about this method, see the QCAlgorithm classQCAlgorithm class.
You can manually create a TrueRange 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 TrueRangeAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TrueRange _truerange;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_truerange = new TrueRange();
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
_truerange.Update(bar);
if (_truerange.IsReady)
{
// The current value of _truerange is represented by itself (_truerange)
// or _truerange.Current.Value
Plot("TrueRange", "truerange", _truerange);
}
}
} class TrueRangeAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._truerange = TrueRange()
def on_data(self, slice: Slice) -> None:
bar = slice.bars.get(self._symbol)
if bar:
self._truerange.update(bar)
if self._truerange.is_ready:
# The current value of self._truerange is represented by self._truerange.current.value
self.plot("TrueRange", "truerange", self._truerange.current.value)For more information about this indicator, see its referencereference.
Indicator History
To get the historical data of the TrueRange 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 TrueRangeAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TrueRange _tr;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_tr = TR(_symbol);
var indicatorHistory = IndicatorHistory(_tr, _symbol, 100, Resolution.Minute);
var timeSpanIndicatorHistory = IndicatorHistory(_tr, _symbol, TimeSpan.FromDays(10), Resolution.Minute);
var timePeriodIndicatorHistory = IndicatorHistory(_tr, _symbol, new DateTime(2024, 7, 1), new DateTime(2024, 7, 5), Resolution.Minute);
}
} class TrueRangeAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._tr = self.tr(self._symbol)
indicator_history = self.indicator_history(self._tr, self._symbol, 100, Resolution.MINUTE)
timedelta_indicator_history = self.indicator_history(self._tr, self._symbol, timedelta(days=10), Resolution.MINUTE)
time_period_indicator_history = self.indicator_history(self._tr, self._symbol, datetime(2024, 7, 1), datetime(2024, 7, 5), Resolution.MINUTE)
