Supported Indicators
Super Trend
Introduction
Super trend indicator. Formula can be found here via the excel file: https://tradingtuitions.com/supertrend-indicator-excel-sheet-with-realtime-buy-sell-signals/
To view the implementation of this indicator, see the LEAN GitHub repository.
Using STR Indicator
To create an automatic indicators for SuperTrend, call the STR helper method from the QCAlgorithm class. The STR method creates a SuperTrend 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 SuperTrendAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private SuperTrend _str;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_str = STR(_symbol, 20, 2, MovingAverageType.Wilders);
}
public override void OnData(Slice data)
{
if (_str.IsReady)
{
// The current value of _str is represented by itself (_str)
// or _str.Current.Value
Plot("SuperTrend", "str", _str);
// Plot all properties of str
Plot("SuperTrend", "basicupperband", _str.BasicUpperBand);
Plot("SuperTrend", "basiclowerband", _str.BasicLowerBand);
Plot("SuperTrend", "currenttrailingupperband", _str.CurrentTrailingUpperBand);
Plot("SuperTrend", "currenttrailinglowerband", _str.CurrentTrailingLowerBand);
}
}
} class SuperTrendAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.str = self.STR(self.symbol, 20, 2, MovingAverageType.Wilders)
def on_data(self, slice: Slice) -> None:
if self.str.IsReady:
# The current value of self.str is represented by self.str.Current.Value
self.plot("SuperTrend", "str", self.str.Current.Value)
# Plot all attributes of self.str
self.plot("SuperTrend", "basicupperband", self.str.BasicUpperBand)
self.plot("SuperTrend", "basiclowerband", self.str.BasicLowerBand)
self.plot("SuperTrend", "currenttrailingupperband", self.str.CurrentTrailingUpperBand)
self.plot("SuperTrend", "currenttrailinglowerband", self.str.CurrentTrailingLowerBand)
The following reference table describes the STR method:
STR()1/1
SuperTrend QuantConnect.Algorithm.QCAlgorithm.STR (
Symbol symbol,
Int32 period,
Decimal multiplier,
*MovingAverageType movingAverageType,
*Nullable<Resolution> resolution,
*Func<IBaseData, IBaseDataBar> selector
)
Creates a new SuperTrend 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.
The following table describes the MovingAverageType enumeration members:
To avoid parameter ambiguity, use the resolution argument to set the Resolution.
public class SuperTrendAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private SuperTrend _str;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Hour).Symbol;
_str = STR(_symbol, 20, 2, MovingAverageType.Wilders, resolution: Resolution.Daily);
}
} class SuperTrendAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Hour).Symbol
self.str = self.STR(self.symbol, 20, 2, MovingAverageType.Wilders, resolution=Resolution.Daily)
You can manually create a SuperTrend 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 a TradeBar or QuoteBar. The indicator will only be ready after you prime it with enough data.
public class SuperTrendAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private SuperTrend _str;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_str = new SuperTrend(20, 2, MovingAverageType.Wilders);
}
public override void OnData(Slice data)
{
if (data.Bars.TryGetValue(_symbol, out var bar))
{
_str.Update(bar);
}
if (_str.IsReady)
{
// The current value of _str is represented by itself (_str)
// or _str.Current.Value
Plot("SuperTrend", "str", _str);
// Plot all properties of str
Plot("SuperTrend", "basicupperband", _str.BasicUpperBand);
Plot("SuperTrend", "basiclowerband", _str.BasicLowerBand);
Plot("SuperTrend", "currenttrailingupperband", _str.CurrentTrailingUpperBand);
Plot("SuperTrend", "currenttrailinglowerband", _str.CurrentTrailingLowerBand);
}
}
} class SuperTrendAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.str = SuperTrend(20, 2, MovingAverageType.Wilders)
def on_data(self, slice: Slice) -> None:
bar = slice.Bars.get(self.symbol)
if bar:
self.str.Update(bar)
if self.str.IsReady:
# The current value of self.str is represented by self.str.Current.Value
self.plot("SuperTrend", "str", self.str.Current.Value)
# Plot all attributes of self.str
self.plot("SuperTrend", "basicupperband", self.str.BasicUpperBand)
self.plot("SuperTrend", "basiclowerband", self.str.BasicLowerBand)
self.plot("SuperTrend", "currenttrailingupperband", self.str.CurrentTrailingUpperBand)
self.plot("SuperTrend", "currenttrailinglowerband", self.str.CurrentTrailingLowerBand)
To register a manual indicator for automatic updates with the security data, call the RegisterIndicator method.
public class SuperTrendAlgorithm : QCAlgorithm
{
private Symbol _symbol;
private SuperTrend _str;
public override void Initialize()
{
_symbol = AddEquity("SPY", Resolution.Daily).Symbol;
_str = new SuperTrend(20, 2, MovingAverageType.Wilders);
RegisterIndicator(_symbol, _str, Resolution.Daily);
}
public override void OnData(Slice data)
{
if (_str.IsReady)
{
// The current value of _str is represented by itself (_str)
// or _str.Current.Value
Plot("SuperTrend", "str", _str);
}
}
} class SuperTrendAlgorithm(QCAlgorithm):
def Initialize(self) -> None:
self._symbol = self.AddEquity("SPY", Resolution.Daily).Symbol
self.str = SuperTrend(20, 2, MovingAverageType.Wilders)
self.RegisterIndicator(self.symbol, self.str, Resolution.Daily)
def on_data(self, slice: Slice) -> None:
if self.str.IsReady:
# The current value of self.str is represented by self.str.Current.Value
self.plot("SuperTrend", "str", self.str.Current.Value)
The following reference table describes the SuperTrend constructor:
SuperTrend()1/2
SuperTrend QuantConnect.Indicators.SuperTrend (
string name,
int period,
decimal multiplier,
*MovingAverageType movingAverageType
)
Creates a new SuperTrend indicator using the specified name, period, multiplier and moving average type.
SuperTrend()2/2
SuperTrend QuantConnect.Indicators.SuperTrend (
int period,
decimal multiplier,
*MovingAverageType movingAverageType
)
Creates a new SuperTrend indicator using the specified period, multiplier and moving average type.
Visualization
The following image shows plot values of selected properties of SuperTrend using the plotly library.
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