Supported Indicators
Triple Exponential Moving Average
Introduction
This indicator computes the Triple Exponential Moving Average (TEMA). The Triple Exponential Moving Average is calculated with the following formula: EMA1 = EMA(t,period) EMA2 = EMA(EMA(t,period),period) EMA3 = EMA(EMA(EMA(t,period),period),period) TEMA = 3 * EMA1 - 3 * EMA2 + EMA3
To view the implementation of this indicator, see the LEAN GitHub repository.
Using TEMA Indicator
To create an automatic indicators for TripleExponentialMovingAverage, call the TEMA helper method from the QCAlgorithm class. The TEMA method creates a TripleExponentialMovingAverage 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 TripleExponentialMovingAverageAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TripleExponentialMovingAverage _tema;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_tema = TEMA(_symbol, 20);
}
public override void OnData(Slice data)
{
if (_tema.IsReady)
{
// The current value of _tema is represented by itself (_tema)
// or _tema.Current.Value
Plot("TripleExponentialMovingAverage", "tema", _tema);
}
}
} class TripleExponentialMovingAverageAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._tema = self.tema(self._symbol, 20)
def on_data(self, slice: Slice) -> None:
if self._tema.is_ready:
# The current value of self._tema is represented by self._tema.current.value
self.plot("TripleExponentialMovingAverage", "tema", self._tema.current.value)
The following reference table describes the TEMA method:
tema(symbol, period, resolution=None, selector=None)[source]Creates a new TripleExponentialMovingAverage indicator.
- symbol (Symbol) — The symbol whose TEMA we want
- period (int) — The period over which to compute the TEMA
- resolution (Resolution, optional) — The resolution
- selector (Callable[IBaseData, float], optional) — x.Value)
The TripleExponentialMovingAverage indicator for the requested symbol over the specified period
TEMA(symbol, period, resolution=None, selector=None)[source]Creates a new TripleExponentialMovingAverage indicator.
- symbol (Symbol) — The symbol whose TEMA we want
- period (Int32) — The period over which to compute the TEMA
- resolution (Resolution, optional) — The resolution
- selector (Func<IBaseData, Decimal>, optional) — x.Value)
The TripleExponentialMovingAverage indicator for the requested symbol over the specified period
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 TripleExponentialMovingAverage 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 TripleExponentialMovingAverageAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TripleExponentialMovingAverage _tema;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_tema = new TripleExponentialMovingAverage(20);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
{
_tema.Update(bar.EndTime, bar.Close);
}
if (_tema.IsReady)
{
// The current value of _tema is represented by itself (_tema)
// or _tema.Current.Value
Plot("TripleExponentialMovingAverage", "tema", _tema);
}
}
} class TripleExponentialMovingAverageAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._tema = TripleExponentialMovingAverage(20)
def on_data(self, slice: Slice) -> None:
bar = slice.bars.get(self._symbol)
if bar:
self._tema.update(bar.EndTime, bar.Close)
if self._tema.is_ready:
# The current value of self._tema is represented by self._tema.current.value
self.plot("TripleExponentialMovingAverage", "tema", self._tema.current.value)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicatorregister_indicator method.
public class TripleExponentialMovingAverageAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private TripleExponentialMovingAverage _tema;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_tema = new TripleExponentialMovingAverage(20);
RegisterIndicator(_symbol, _tema, Resolution.Daily);
}
public override void OnData(Slice data)
{
if (_tema.IsReady)
{
// The current value of _tema is represented by itself (_tema)
// or _tema.Current.Value
Plot("TripleExponentialMovingAverage", "tema", _tema);
}
}
} class TripleExponentialMovingAverageAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
self._tema = TripleExponentialMovingAverage(20)
self.register_indicator(self._symbol, self._tema, Resolution.DAILY)
def on_data(self, slice: Slice) -> None:
if self._tema.is_ready:
# The current value of self._tema is represented by self._tema.current.value
self.plot("TripleExponentialMovingAverage", "tema", self._tema.current.value)
The following reference table describes the TripleExponentialMovingAverage constructor:
TripleExponentialMovingAverage
This indicator computes the Triple Exponential Moving Average (TEMA). The Triple Exponential Moving Average is calculated with the following formula: EMA1 = EMA(t,period) EMA2 = EMA(EMA(t,period),period) EMA3 = EMA(EMA(EMA(t,period),period),period) TEMA = 3 * EMA1 - 3 * EMA2 + EMA3
get_enumerator()Returns an enumerator that iterates through the history window.
IEnumerator[IndicatorDataPoint]
reset()Resets this indicator to its initial state
to_detailed_string()Provides a more detailed string of this indicator in the form of {Name} - {Value}
str
update(time, value)Updates the state of this indicator with the given value and returns true if this indicator is ready, false otherwise
- time (datetime)
- value (float)
bool
update(input)Updates the state of this indicator with the given value and returns true if this indicator is ready, false otherwise
- input (IBaseData)
bool
consolidatorsThe data consolidators associated with this indicator if any
The data consolidators associated with this indicator if any
ISet[IDataConsolidator]
currentGets the current state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
Gets the current state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
IndicatorDataPoint
is_readyGets a flag indicating when this indicator is ready and fully initialized
Gets a flag indicating when this indicator is ready and fully initialized
bool
itemIndexes the history windows, where index 0 is the most recent indicator value. If index is greater or equal than the current count, it returns null. If the index is greater or equal than the window size, it returns null and resizes the windows to i + 1.
Indexes the history windows, where index 0 is the most recent indicator value. If index is greater or equal than the current count, it returns null. If the index is greater or equal than the window size, it returns null and resizes the windows to i + 1.
IndicatorDataPoint
nameGets a name for this indicator
Gets a name for this indicator
str
previousGets the previous state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
Gets the previous state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
IndicatorDataPoint
samplesGets the number of samples processed by this indicator
Gets the number of samples processed by this indicator
int
warm_up_periodRequired period, in data points, for the indicator to be ready and fully initialized.
Required period, in data points, for the indicator to be ready and fully initialized.
int
windowA rolling window keeping a history of the indicator values of a given period
A rolling window keeping a history of the indicator values of a given period
RollingWindow[IndicatorDataPoint]
TripleExponentialMovingAverage
This indicator computes the Triple Exponential Moving Average (TEMA). The Triple Exponential Moving Average is calculated with the following formula: EMA1 = EMA(t,period) EMA2 = EMA(EMA(t,period),period) EMA3 = EMA(EMA(EMA(t,period),period),period) TEMA = 3 * EMA1 - 3 * EMA2 + EMA3
GetEnumerator()Returns an enumerator that iterates through the history window.
IEnumerator[IndicatorDataPoint]
Reset()Resets this indicator to its initial state
ToDetailedString()Provides a more detailed string of this indicator in the form of {Name} - {Value}
String
Update(time, value)Updates the state of this indicator with the given value and returns true if this indicator is ready, false otherwise
- time (DateTime)
- value (decimal)
Boolean
Update(input)Updates the state of this indicator with the given value and returns true if this indicator is ready, false otherwise
- input (IBaseData)
Boolean
ConsolidatorsThe data consolidators associated with this indicator if any
The data consolidators associated with this indicator if any
ISet<IDataConsolidator>
CurrentGets the current state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
Gets the current state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
IndicatorDataPoint
IsReadyGets a flag indicating when this indicator is ready and fully initialized
Gets a flag indicating when this indicator is ready and fully initialized
bool
NameGets a name for this indicator
Gets a name for this indicator
string
PreviousGets the previous state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
Gets the previous state of this indicator. If the state has not been updated then the time on the value will equal DateTime.MinValue.
IndicatorDataPoint
SamplesGets the number of samples processed by this indicator
Gets the number of samples processed by this indicator
int
WarmUpPeriodRequired period, in data points, for the indicator to be ready and fully initialized.
Required period, in data points, for the indicator to be ready and fully initialized.
Int32
WindowA rolling window keeping a history of the indicator values of a given period
A rolling window keeping a history of the indicator values of a given period
RollingWindow<IndicatorDataPoint>
[System.Int32]Indexes the history windows, where index 0 is the most recent indicator value. If index is greater or equal than the current count, it returns null. If the index is greater or equal than the window size, it returns null and resizes the windows to i + 1.
Indexes the history windows, where index 0 is the most recent indicator value. If index is greater or equal than the current count, it returns null. If the index is greater or equal than the window size, it returns null and resizes the windows to i + 1.
IndicatorDataPoint
Visualization
The following image shows plot values of selected properties of TripleExponentialMovingAverage using the plotly library.
Indicator History
To get the historical data of the TripleExponentialMovingAverage 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 TripleExponentialMovingAverageAlgorithm : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
var tema = TEMA(_symbol, 20);
var countIndicatorHistory = IndicatorHistory(tema, _symbol, 100, Resolution.Minute);
var timeSpanIndicatorHistory = IndicatorHistory(tema, _symbol, TimeSpan.FromDays(10), Resolution.Minute);
var timePeriodIndicatorHistory = IndicatorHistory(tema, _symbol, new DateTime(2024, 7, 1), new DateTime(2024, 7, 5), Resolution.Minute);
}
} class TripleExponentialMovingAverageAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self._symbol = self.add_equity("SPY", Resolution.DAILY).symbol
tema = self.tema(self._symbol, 20)
count_indicator_history = self.indicator_history(tema, self._symbol, 100, Resolution.MINUTE)
timedelta_indicator_history = self.indicator_history(tema, self._symbol, timedelta(days=10), Resolution.MINUTE)
time_period_indicator_history = self.indicator_history(tema, self._symbol, datetime(2024, 7, 1), datetime(2024, 7, 5), Resolution.MINUTE)
To make the IndicatorHistoryindicator_history method update the indicator with an alternative price field instead of the close (or mid-price) of each bar, pass a selector argument.
var indicatorHistory = IndicatorHistory(tema, 100, Resolution.Minute, (bar) => ((TradeBar)bar).High);
indicator_history = self.indicator_history(tema, 100, Resolution.MINUTE, lambda bar: bar.high) indicator_history_df = indicator_history.data_frame
If you already have a list of Slice objects, you can pass them to the IndicatorHistoryindicator_history method to avoid the internal history request.
var history = History(_symbol, 100, Resolution.Minute); var historyIndicatorHistory = IndicatorHistory(tema, history);
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