Source code for pandas_ta.momentum.ao
# -*- coding: utf-8 -*-
from pandas_ta.overlap import sma
from pandas_ta.utils import get_offset, verify_series
[docs]def ao(high, low, fast=None, slow=None, offset=None, **kwargs):
"""Indicator: Awesome Oscillator (AO)"""
# Validate Arguments
fast = int(fast) if fast and fast > 0 else 5
slow = int(slow) if slow and slow > 0 else 34
if slow < fast:
fast, slow = slow, fast
_length = max(fast, slow)
high = verify_series(high, _length)
low = verify_series(low, _length)
offset = get_offset(offset)
if high is None or low is None: return
# Calculate Result
median_price = 0.5 * (high + low)
fast_sma = sma(median_price, fast)
slow_sma = sma(median_price, slow)
ao = fast_sma - slow_sma
# Offset
if offset != 0:
ao = ao.shift(offset)
# Handle fills
if "fillna" in kwargs:
ao.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
ao.fillna(method=kwargs["fill_method"], inplace=True)
# Name and Categorize it
ao.name = f"AO_{fast}_{slow}"
ao.category = "momentum"
return ao
ao.__doc__ = \
"""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.
"""