aberration#
- aberration(high, low, close, length=None, atr_length=None, offset=None, **kwargs)[source]#
Aberration
A volatility indicator similar to Keltner Channels.
- Sources:
Few internet resources on definitive definition. Request by Github user homily, issue #46
- Calculation:
- Default Inputs:
length=5, atr_length=15
ATR = Average True Range SMA = Simple Moving Average
ATR = ATR(length=atr_length) JG = TP = HLC3(high, low, close) ZG = SMA(JG, length) SG = ZG + ATR XG = ZG - ATR
- Args:
high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s close (pd.Series): Series of ‘close’s length (int): The short period. Default: 5 atr_length (int): The short period. Default: 15 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: zg, sg, xg, atr columns.