tema#
API documentation for pandas_ta.overlap.tema Python function.
- tema(close, length=None, talib=None, offset=None, **kwargs)[source]#
Triple Exponential Moving Average (TEMA)
A less laggy Exponential Moving Average.
- Sources:
- 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.