Level: 2
Background
John F. Ehlers introuced Correlation Trend Strategy in May, 2020.
Function
In Dr. Ehlers article “Correlation As A Trend Indicator” in May, 2020, he introduces a new trend indicator that is based on the correlation between a security’s price history and the ideal trend: a straight line. He describes methods for using the indicator to not...
Level: 2
Background
John F. Ehlers introuced Reflex Cross indicator in Feb, 2020.
Function
In “Reflex: A New Zero-Lag Indicator” in Feb, 2020, John Ehlers introduces a new averaging indicator that he has designed with reducing lag in mind. According to the Dr . Ehlers , this new indicator can be used to generate signals in a more timely manner than other...
Level: 2
Background
John F. Ehlers introuced Trendflex indicator in Feb, 2020.
Function
In “Reflex: A New Zero-Lag Indicator” in Feb, 2020, John Ehlers introduces a new averaging indicator that he has designed with reducing lag in mind. According to the Dr. Ehlers, this new indicator can be used to generate signals in a more timely manner than other lagging...
Level: 2
Background
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...
Level: 2
Background
John F. Ehlers introuced Super Smooth Stochastic Indicator in Jan, 2014.
Function
In “Predictive And Successful Indicators” of in, 2014, John Ehlers presented another innovative way to eliminate noise from classic indicators and introduces some new smoothing indicators: the SuperSmoother filter, which is superior to moving averages for...
Level: 3
Background
John F. Ehlers introuced Enhaced Corona Swing Position Indicator in April, 2012.
Function
John Ehlers's corona indicators, "Corona Charts," provide a "multidimensional" view of market activity. In the article "Corona Charts" in Nov, 2008, John Ehlers further developed his earlier work on market cycles. A new kind of indicator was presented...
Circumstance Remarks: Because of my carelessness, the script of the same name that I posted before was banned and hidden because the description contained content that violated the TradingView House Rule. After communicating with the MOD, I corrected the description and obtained permission to publish it again. I hereby declare. Sorry for the inconvenience!...
Level: 2
Background
John F. Ehlers introuced Measuring the Dominant Cycle using the HomoDyne Discriminator in his "Cycle Analytics for Traders" chapter 14 on 2013.
Function
With Hilbert transformer, the third algorithm for computing the dominant cycle is the homodyne approach. Homodyne means the signal is multiplied by itself. More precisely, we want to...
Level: 2
Background
John F. Ehlers introuced Measuring the Dominant Cycle using the Dual Differentiator in his "Cycle Analytics for Traders" chapter 14 on 2013.
Function
With Hilbert transformer, the first algorithm to compute the dominant cycle is called the dual differentiator. In this case, the phase angle is computed from the analytic signal as the...
Level: 2
Background
John F. Ehlers introduced Adaptive BandPass Filter in his "Cycle Analytics for Traders" chapter 11 on 2013.
Function
Adaptive band-pass filter was designed. It just makes since to tune that filter to the measured dominant cycle to eliminate all the other frequency components that are of no interest. Here, the adaptive band-pass indicator...
Level: 2
Background
John F. Ehlers introduced Adaptive RSI 2013 in his "Cycle Analytics for Traders" chapter 11 on 2013.
Function
The adaptive RSI starts with the computation of the dominant cycle using the autocorrelation periodogram approach. The identification of the RSI indicator itself following the dominant cycle calculation is noted by the comment near...
Level: 2
Background
John F. Ehlers introduced Autocorrelation Periodogram in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
Construction of the autocorrelation periodogram starts with the autocorrelation function using the minimum three bars of averaging. The cyclic information is extracted using a discrete Fourier transform (DFT) of the...
Level: 2
Background
John F. Ehlers introduced Autocorrelation Indicator in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
If we correlate a waveform composed of perfectly random numbers by itself, the correlation will be perfect. However, if we lag one of the data streams by just one bar, the correlation will be dramatically reduced. In a long...
Level: 2
Background
John F. Ehlers create Synthetic Prices Using Random Numbers with Memory in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
Peter Swerling is best known for the class of statistically “fluctuating target” scattering models he developed in the early 1950s to characterize the performance of pulsed radar systems, referred to as...
Level: 2
Background
John F. Ehlers introuced Modified RSI Indicator in his "Cycle Analytics for Traders" chapter 7 on 2013.
Function
The RSI is the percentage of the sum of the delta closes up to the sum of all the delta closes over the observation period. The only variable here is the observation period. To have maximum effectiveness the observation period...
Level: 2
Background
John F. Ehlers introuced Roofing Filter Indicator in his "Cycle Analytics for Traders" chapter 7 on 2013.
Function
The roofing filter does an excellent job of using only the frequency components between its upper and lower critical periods. All that needs to be done to create an indicator from the roofing filter is to add more generality...
Level: 2
Background
John F. Ehlers introuced HP-LP Roofing Filter in his "Cycle Analytics for Traders" chapter 7 on 2013.
Function
A “roofing filter” can be used to limit the frequency content of an input before proceeding to construct an indicator. The roofing filter is composed of a highpass filter that passes only frequency components whose periods are...
Level: 2
Background
John F. Ehlers introuced Bandpass Filter in his "Cycle Analytics for Traders" chapter 5 on 2004.
Function
After declaring variables, the band-pass filter calculation is preceded by a high-pass filter whose cutoff frequency is one half-bandwidth octave below the lower-frequency critical frequency of the band-pass filter to avoid...
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