aroon#

API documentation for pandas_ta.trend.aroon Python function.

aroon(high, low, length=None, scalar=None, talib=None, offset=None, **kwargs)[source]#

Aroon & Aroon Oscillator (AROON)

Aroon attempts to identify if a security is trending and how strong.

Sources:

https://www.tradingview.com/wiki/Aroon https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/aroon-ar/

Calculation:

Default Inputs:: length=1, scalar=100

recent_maximum_index(x): return int(np.argmax(x[::-1])) recent_minimum_index(x): return int(np.argmin(x[::-1]))

periods_from_hh = high.rolling(length + 1).apply(recent_maximum_index, raw=True) AROON_UP = scalar * (1 - (periods_from_hh / length))

periods_from_ll = low.rolling(length + 1).apply(recent_minimum_index, raw=True) AROON_DN = scalar * (1 - (periods_from_ll / length))

AROON_OSC = AROON_UP - AROON_DN

Args:

close (pd.Series): Series of ‘close’s length (int): It’s period. Default: 14 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.DataFrame: aroon_up, aroon_down, aroon_osc columns.