Inspired by Linda Bradford Raschke. Entry criteria: This strategy is used to capture momentum effects on the daily periodicities. Once prices have had a run of 8 or more consecutive closes above or below the 5-period simple moving average the strategy is primed to trade. It will then enter a short on the first close above the 5sma after a run of 8 or more...

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Levinson-Durbin Autocorrelation Extrapolation of Price is an indicator that uses the Levinson recursion or Levinson–Durbin recursion algorithm to predict price moves. This method is commonly used in speech modeling and prediction engines. What is Levinson recursion or Levinson–Durbin recursion? Is a linear algebra prediction analysis that is performed once...

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APA-Adaptive, Ehlers Early Onset Trend is Ehlers Early Onset Trend but with Autocorrelation Periodogram Algorithm dominant cycle period input. What is Ehlers Early Onset Trend? The Onset Trend Detector study is a trend analyzing technical indicator developed by John F. Ehlers , based on a non-linear quotient transform. Two of Mr. Ehlers' previous studies, the...

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Ehlers Autocorrelation Periodogram contains two versions of Ehlers Autocorrelation Periodogram Algorithm. This indicator is meant to supplement adaptive cycle indicators that myself and others have published on Trading View, will continue to publish on Trading View. These are fast-loading, low-overhead, streamlined, exact replicas of Ehlers' work without any...

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Ehlers Adaptive Relative Strength Index (RSI) is an implementation of RSI using Ehlers Autocorrelation Periodogram Algorithm to derive the length input for RSI. Other implementations of Ehers Adaptive RSI rely on the inferior Hilbert Transformer derive the dominant cycle. In his book "Cycle Analytics for Traders Advanced Technical Trading Concepts", John F....

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As a longtime fan of ADX, looking at Vortex Indicator I often wondered, where is the third line. I have rarely seen that anybody is calculating it. So, here it is: Average Vortex Index - an ADX calculated from Vortex Indicator. I interpret it similarly to the ADX indicator: higher values show stronger trend. If you discover other interpretation or have...

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A complimentary indicator to my Adaptive MA constructor. It calculates the difference between the two MA lines (inspired by the Moving Average Difference (MAD) indicator by John F. Ehlers). You can then further smooth the resulting curve. The parameters and options are explained here: The difference is normalized by dividing the difference by twice its Root mean...

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Adaptive Moving Averages are nothing new, however most of them use EMA as their MA of choice once the preferred smoothing length is determined. I have decided to make an experiment and separate length generation from smoothing, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. This indicator is based on my...

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Collection of Dominant Cycle estimators. Length adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement...

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Adaptive Trend Cipher Highly experimental! Features: -Implements 5 different Dominant Adaptive Cycle Measures to determine optimal inputs for correlation functions. These cycle calculations include the following: ** * Ehler's Autocorrelation Dominant Cycle * Ehler's Instantaneous Dominant Cycle * Ehler's Band-pass Dominant Cycle * Ehler's Hilbert Period...

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This script attempts to contextualize the instrument's latest return. It asks, "when a return of the same or greater magnitude occurred in the past, in the same direction, what was the following period's return?" By default, the latest return is used. For example, on a daily chart, that would mean "today's" return. However, you can select any return you want...

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The AutoCorrelation Indicator was created by John Ehlers (Cycle Analytics pgs 94-98) and this can be viewed as both a momentum indicator and a trend indicator. This was his basis for several other indicators that he created which I will be publishing soon but essentially as this indicator goes up then the stock is in an uptrend and also has upward momentum. You...

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Experimental: The Gramian Angular Field is usually used in machine learning for machine vision, it allows the encoding of data as a visual queue / matrix.

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This indicator shows the Pearson correlation coefficient between different periods of one financial instrument. Two dates are set, which are the starting points of two series, between which the correlation coefficient is calculated. The correlation period is taken from the difference of the current date from the second reference point. The indicator is designed to...

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Level: 2 Background @pips_v1 has proposed an interesting idea that is it possible to code an "Adaptive Jon Andersen R-Squared Indicator" where the length is determined by DCPeriod as calculated in Ehlers Sine Wave Indicator? I agree with him and starting to construct this indicator. After a study, I found "(blackcat) L2 Ehlers Autocorrelation Periodogram"...

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experimental: shows the distribution for each shift in a autocorrelation.

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Experimental: finds and displays the wavelength index's of the autocorrelation wavelengths..

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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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