Bollinger Bands

Bollinger Bands are used to identify potential buying and selling opportunities based on price volatility.

Method

tm.ta.bbands(source, timeperiod, nbdevup, nbdevdn, matype)

Inputs

Parameter	Argument type	Description	Default Value
source	pd.Series	Input data series	-
timeperiod	int	Number of periods for the indicator	5
nbdevup	float	Number of deviations for upper band	2
nbdevdn	float	Number of deviations for lower band	2
matype	int	Type of Moving Average	0

Outputs

Note

The outputs are returned as a tuple of objects. Make sure to unpack them as shown in the example usage.

Output	Type
upperband	np.ndarray
middleband	np.ndarray
lowerband	np.ndarray

Example usage

strategy.py

import tradomate as tm

@tm.strategy()
def my_strategy(config: tm.TradomateConfig, data: tm.TradomateData):

    # Trying out Bollinger Bands
    upperband, middleband, lowerband = tm.ta.bbands(data.close, timeperiod=5, nbdevup=2, nbdevdn=2, matype=0)

    # Get the last value and print
    last_value = upperband.iloc[-1]
    tm.log(f"Last value of Bollinger Bands is {last_value}")

    # Plot the values of upperband
    tm.plot(upperband, title="Bollinger Bands", overlay=False)