API documentation for pandas_ta.momentum.qqe Python function.
- qqe(close, length=None, smooth=None, factor=None, mamode=None, drift=None, offset=None, **kwargs)#
Quantitative Qualitative Estimation (QQE)
The Quantitative Qualitative Estimation (QQE) is similar to SuperTrend but uses a Smoothed RSI with an upper and lower bands. The band width is a combination of a one period True Range of the Smoothed RSI which is double smoothed using Wilder’s smoothing length (2 * rsiLength - 1) and multiplied by the default factor of 4.236. A Long trend is determined when the Smoothed RSI crosses the previous upperband and a Short trend when the Smoothed RSI crosses the previous lowerband.
Based on QQE.mq5 by EarnForex Copyright © 2010, based on version by Tim Hyder (2008), based on version by Roman Ignatov (2006)
https://www.tradingview.com/script/IYfA9R2k-QQE-MT4/ https://www.tradingpedia.com/forex-trading-indicators/quantitative-qualitative-estimation https://www.prorealcode.com/prorealtime-indicators/qqe-quantitative-qualitative-estimation/
- Default Inputs:
length=14, smooth=5, factor=4.236, mamode=”ema”, drift=1
close (pd.Series): Series of ‘close’s length (int): RSI period. Default: 14 smooth (int): RSI smoothing period. Default: 5 factor (float): QQE Factor. Default: 4.236 mamode (str): See
`help(ta.ma)`. Default: ‘sma’ drift (int): The difference period. Default: 1 offset (int): How many periods to offset the result. Default: 0
fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method
pd.DataFrame: QQE, RSI_MA (basis), QQEl (long), and QQEs (short) columns.