cfo

API documentation for pandas_ta.momentum.cfo Python function.

cfo(close, length=None, scalar=None, drift=None, offset=None, **kwargs)

Chande Forcast Oscillator (CFO)

The Forecast Oscillator calculates the percentage difference between the actual price and the Time Series Forecast (the endpoint of a linear regression line).

Sources:

https://www.fmlabs.com/reference/default.htm?url=ForecastOscillator.htm

Calculation:

Default Inputs:

length=9, drift=1, scalar=100

LINREG = Linear Regression

CFO = scalar * (close - LINERREG(length, tdf=True)) / close

Args:

close (pd.Series): Series of ‘close’s length (int): The period. Default: 9 scalar (float): How much to magnify. Default: 100 drift (int): The short period. Default: 1 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.