roc#

roc(close, length=None, scalar=None, talib=None, offset=None, **kwargs)[source]#

Rate of Change (ROC)

Rate of Change is an indicator is also referred to as Momentum (yeah, confusingly). It is a pure momentum oscillator that measures the percent change in price with the previous price ‘n’ (or length) periods ago.

Sources:

https://www.tradingview.com/wiki/Rate_of_Change_(ROC)

Calculation:

Default Inputs:: length=1

MOM = Momentum ROC = 100 * MOM(close, length) / close.shift(length)

Args:

close (pd.Series): Series of ‘close’s length (int): It’s period. Default: 1 scalar (float): How much to magnify. Default: 100 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.