brar#
- brar(open_, high, low, close, length=None, scalar=None, drift=None, offset=None, **kwargs)[source]#
BRAR (BRAR)
BR and AR
- Sources:
No internet resources on definitive definition. Request by Github user homily, issue #46
- Calculation:
- Default Inputs:
length=26, scalar=100
SUM = Sum
HO_Diff = high - open OL_Diff = open - low HCY = high - close[-1] CYL = close[-1] - low HCY[HCY < 0] = 0 CYL[CYL < 0] = 0 AR = scalar * SUM(HO, length) / SUM(OL, length) BR = scalar * SUM(HCY, length) / SUM(CYL, length)
- Args:
open_ (pd.Series): Series of ‘open’s high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s close (pd.Series): Series of ‘close’s length (int): The period. Default: 26 scalar (float): How much to magnify. Default: 100 drift (int): The difference 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.DataFrame: ar, br columns.