ao#
API documentation for pandas_ta.momentum.ao Python function.
- ao(high, low, fast=None, slow=None, offset=None, **kwargs)[source]#
- Awesome Oscillator (AO) - The Awesome Oscillator is an indicator used to measure a security’s momentum. AO is generally used to affirm trends or to anticipate possible reversals. - Sources:
- https://www.tradingview.com/wiki/Awesome_Oscillator_(AO) https://www.ifcm.co.uk/ntx-indicators/awesome-oscillator 
- Calculation:
- Default Inputs:
- fast=5, slow=34 
 - SMA = Simple Moving Average median = (high + low) / 2 AO = SMA(median, fast) - SMA(median, slow) 
- Args:
- high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s fast (int): The short period. Default: 5 slow (int): The long period. Default: 34 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.