tema

tema(close, length=None, talib=None, offset=None, **kwargs)

Triple Exponential Moving Average (TEMA)

A less laggy Exponential Moving Average.

Sources:

https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/triple-exponential-moving-average-tema/

Calculation:

Default Inputs:

length=10

EMA = Exponential Moving Average ema1 = EMA(close, length) ema2 = EMA(ema1, length) ema3 = EMA(ema2, length) TEMA = 3 * (ema1 - ema2) + ema3

Args:

close (pd.Series): Series of ‘close’s length (int): It’s period. Default: 10 talib (bool): If TA Lib is installed and talib is True, Returns the TA Lib

version. Default: True

offset (int): How many periods to offset the result. Default: 0

Kwargs:

adjust (bool): Default: True presma (bool, optional): If True, uses SMA for initial value. fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method

Returns:

pd.Series: New feature generated.