John F. Ehlers introuced Recursive Median Oscillator in Mar, 2018.
Function
In “Recursive Median Filters” in Mar, 2018, John Ehlers presented an approach for filtering out extreme price and volume data that could throw off typical averaging calculations. Dr. Ehlers’ line in digital signal processing extends to removing extreme spikes in financial data, but utilizing the median average value in the recursive filter calculations. By removing these extremities, the actual extremities that occur in the underlying data may be better determined. Ehlers goes on to present a novel oscillator using this technique, comparing its response to the well-known RSI. He notes that by being able to smooth the data with the least amount of lag, the recursive median oscillator may give the trader a better view of the bigger picture.
The recursive median filter (RMF) ignores the spiking-types of the price noise. RMF uses an exponential moving average of the five-period median of the source data to produce a smoothing of the signal while avoiding spikes. The recursive median oscillator (RMO) is an oscillator built along the same principles. The RMO has less lag and a faster response to the larger moves in the price data.
Key Signal
RMO --> Ehlers Recursive Median Oscillator fast line RMO[2] --> Ehlers Recursive Median Oscillator slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 89th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
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