Home » Indicator Library » Advanced Oscillators
Building on the same concept as momentum oscillators, these indicators also track the short-term overbought or oversold, but with a higher degree of sophistication. In general, the advanced oscillators allow for added value approaches, utilizing a set of more complex algorithms.
Created by Larry Connors, this indicator is a composite of three separate components. Two of the three components utiliz [...]
This is a modified version of the well-known relative strength indicator (RSI). Created by John F. Ehlers, the Laguerre [...]
The MACD BB Lines indicator is built from a standard MACD indicator with Bollinger Bands added to the signal line. The M [...]
The MACD KC Lines indicator is built from a standard MACD indicator with Keltner Channels added to the signal line. The [...]
The MESA Stochastics indicator was developed by John Ehlers and presented in the Stocks and Commodities article “Predict [...]
The Modified Z-Score applies the median calculation instead of the mean. Furthermore, the signed number of standard devi [...]
A standard MACD applies two exponential moving averages. The Multiple MACD offers a selection of 30 different moving ave [...]
This is an indicator which is based on the True Strength Index (TSI) developed by Willam Blau and published in his book [...]
The Projection Oscillator indicator is based on the Projection Bands as introduced by Mel Widner, Ph.D in an Technical A [...]
The Quantitative Qualitative Estimation a.k.a. QQE indicator applies a smoothed Relative Strength Index (RSI) indicator [...]
As the name implies, the Rainbow Oscillator indicator displays 100 oscillator values with ascending lookback periods, as [...]
The Roofing Filter is a further development of John F. Ehlers’ Super Smoother Filter and can be used to correct distorti [...]
The SVE Stochastics IFT by Sylvain Vervoort, ak.a. the Inverse Fisher transform stochastics oscillator, is an oscillator [...]
A Z-score or standard score is a numerical measurement of a value’s relationship to the arithemic mean of the data set. [...]