ehler

blackcat1402

Level: 2 Background John F. Ehlers introuced SwamiCharts RSI in his "Cycle Analytics for Traders" chapter 16 on 2013. Function SwamiCharts retain the core functionality of the technical indicators with which you're already familiar, while packing much more information into an easy-to interpret heat map chart. With SwamiCharts, you now visualize each...

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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...

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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...

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Level: 2 Background John F. Ehlers introuced Instantaneous Trendline Trading Strategy in his "Cybernetic Analysis for Stocks and Futures" chapter 3 on 2004. Function With the crossover strategy that Dr. Ehlers has developed it is possible to be on the wrong side of the trade for a substantial period from time to time. For this reason, Dr. Ehlers has added a...

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Level: 2 Background John F. Ehlers introuced the squelch indicator in Sep, 2000. Function This the squelch indicator code is identical to the Hilbert period code , with the addition of the squelch threshold and the display being implemented as a paintbar -- that is, a bar on the chart being colored, depending on the squelch threshold value. The Pine v4 code...

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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...

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Level: 2 Background John F. Ehlers introduced Even Better sinwave Indicator in his "Cycle Analytics for Traders" chapter 12 on 2013. Function The original Sinewave Indicator was created by seeking the dominant cycle phase angle that had the best correlation between the price data and a theoretical dominant cycle sine wave. The Even Better Sinewave Indicator...

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Level: 2 Background John F. Ehlers introuced swiss army knife (SAK)indicator in 2005. Function The swiss army knife (SAK)indicator does all the common functions of the usual indicators, such as smoothing and momentum generation. It also does some unusual things, such as band stop and band reject filtering. Once you program this indicator into your trading...

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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....

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Level: 2 Background John F. Ehlers introuced Three-Pole Butterworth Filter in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004. Function The transfer responses of Butterworth filters have polynomials in both the numerator and denominator. There is a polynomial in the numerator as well as the denominator. The significance of the polynomial...

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Level: 2 Background John F. Ehlers introuced his Stochastic RSI in August, 2006. Function John Ehlers' article in August, 2006, "Modeling The Market = Building Trading Strategies," describes a process for extracting trend and cyclic elements from market data, then recombining them for trading purposes. He used the Stochastic RSI denoted the cyclic...

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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...

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Level: 2 Background John F. Ehlers introuced Fractal Adaptive Moving Average (FRAMA) in 2004. Function The objective of using filters is to separate the desired signals from the undesired signals (or noise). The practical application of moving averages often involves a tradeoff between the amount of smoothness required and the amount of lag that can be...

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Level: 2 Background John F. Ehlers introuced his Dominant Cycle Tuned Bandpass Filter Strategy in Mar, 2008. Function In "Measuring Cycle Periods", author John Ehlers presents a very interesting technique of measuring dominant market cycle periods by means of multiple bandpass filtering. By utilizing an approach similar to audio equalizers, the signal (here,...

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Level: 2 Background John F. Ehlers introduced Autocorrelation Reversals in his "Cycle Analytics for Traders" chapter 8 on 2013. Function One of the distinctive characteristics of autocorrelation is that the autocorrelation shifts from yelow to red or from red to yellow at all values of lag at the cyclic reversals of the price. Therefore, all we need do to...

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Level: 2 Background John F. Ehlers introuced Three Pole Super Smoother in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004. Function The Super Smoother filter is formed by retaining the IIR part of a Butterworth digital filter. The order of Super Smoother filters can be increased indefinitely to increase the sharpness of the filter...

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Level: 2 Background John F. Ehlers introduced DFT Spectral Estimate in his "Cycle Analytics for Traders" chapter 9 on 2013. Function The DFT is accomplished by correlating the data with the cosine and sine of each period of interest over the selected window period. The sum of the squares of each of these correlated values represents the relative power at each...

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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...