dema

API documentation for pandas_ta.overlap.dema Python function.

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

Double Exponential Moving Average (DEMA)

The Double Exponential Moving Average attempts to a smoother average with less lag than the normal Exponential Moving Average (EMA).

Sources:

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

Calculation:

Default Inputs:

length=10

EMA = Exponential Moving Average ema1 = EMA(close, length) ema2 = EMA(ema1, length)

DEMA = 2 * ema1 - ema2

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:

fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method

Returns:

pd.Series: New feature generated.