Level: 2
Background
John F. Ehlers introduced Adaptive CCI 2013 in his "Cycle Analytics for Traders" chapter 11 on 2013.
Function
The time length to be used for the channel in the calculations is widely varied in the literature. In all cases, the length is rather arbitrarily established to fit the indicator to some preconceived event. It seems to me that it...
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 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 Zero Mean Roofing Filter in his "Cycle Analytics for Traders" chapter 7 on 2013.
Function
The HP-LP Roofing Filter output still contains all of these frequency components. The only way we can reduce the effect of these lower-frequency components is to introduce another high-pass filter, adding an additional 6 dB...
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...
Level: 2
Background
John F. Ehlers introuced Decycler Oscillator in his "Cycle Analytics for Traders" chapter 4 on 2004.
Function
A decycler oscillator is created by subtracting the output of a high-pass filter having a shorter cutoff period from the output of another high-pass filter having a longer cutoff period. This way, both elements have a zero in their...
Level: 2
Background
John F. Ehlers introuced Decycler in his "Cycle Analytics for Traders" chapter 4 on 2004.
Function
The concept of a decycler is really pretty simple. The cyclic components are removed by the process of cancellation. If the high-pass filter output is subtracted from the input data, the residual only contains the low-frequency components....
Level: 2
Background
John F. Ehlers introuced Laguerre RSI Indicator in his "Cybernetic Analysis for Stocks and Futures" chapter 14 on 2004.
Function
“Truth and science always triumph over ignorance and superstition.” said by Dr. Ehlers. We can generate superior smoothing with very short filters, it follows that we should be able to create superior indicators...
Level: 2
Background
John F. Ehlers introuced Two Pole Super Smoother in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004.
Function
The transfer response of the two-pole Super Smoother is almost identical to the transfer response of the Regularized filter. The difference between the two is that the characteristics of the Super Smoother are...
Level: 2
Background
John F. Ehlers introuced Two Pole Butterworth Filter in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004.
Function
Dr. Ehlers translated analog Butterworth filters to their digital approximations. The transfer response is characterized by a single variable—the cutoff frequency. The cutoff frequency is that frequency...
Level: 2
Background
John F. Ehlers introuced Smoothed Adaptive Momentum in his "Cybernetic Analysis for Stocks and Futures" chapter 12 on 2004.
Function
Smoothed Adaptive Momentum is to measure the Dominant Cycle period and then use that measured period to take a onecycle momentum. It really does matter if you measure the Dominant Cycle. The trend component...
Level: 2
Background
John F. Ehlers introuced center of gravity (CG) in his "Cybernetic Analysis for Stocks and Futures" chapter 5 on 2004.
Function
The center of gravity (CG) of a physical object is its balance point. For example, if you balance a 12-inch ruler on your finger, the CG will be at its 6-inch point. If you change the weight distribution of the...
Level: 2
Background
John F. Ehlers introuced Cyber Cycle Trading Strategy in his "Cybernetic Analysis for Stocks and Futures" chapter 4 on 2004.
Function
With cyber cycle alone, the Trigger lags the Cycle by one bar, so that their crossing introduces at least another bar of lag. Finally, Dr Ehler concluded that we can’t execute the trade until the bar after...
Level: 2
Background
John F. Ehlers introuced Cyber Cycle Indicator in his "Cybernetic Analysis for Stocks and Futures" chapter 4 on 2004.
Function
Trading the Cyber Cycle Indicator is straightforward. Buy when the at this point. Sell when the Cycle line crosses under the Trigger line. You are at the bottom of the cycle at this point. Sell when the Cycle line...
Level: 2
Background
John F. Ehlers introuced Fisher Transform of Normalize Price to a N-Day Channel in his "Cybernetic Analysis for Stocks and Futures" chapter 1 on 2004.
Function
The Fisher transform changes the PDF of any waveform so that the transformed output has an approximately Gaussian PDF. So what does this mean for trading? If the prices are...
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