Linear Regression Intercept

Linear regression Intercept indicates the value of the price when the value of the time series is 0.

Method

tm.ta.linearreg_intercept(source, timeperiod)

Inputs

Parameter	Argument type	Description	Default Value
source	pd.Series	Input data series	-
timeperiod	int	Number of periods for the indicator	14

Outputs

Output	Type
linearreg_intercept	np.ndarray

Example usage

strategy.py

import tradomate as tm

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

    # Trying out
    linearreg_intercept = tm.ta.linearreg_intercept(data.close, timeperiod=14)

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

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