Firstly, this is NOT an indicator. It's an advanced cycle period detector for advanced developers OR scripts providing a "Period Source" they may have developed that can utilize this detector. Be forewarned! I would only recommend this for advanced developers, not novice. If you are up to the challenge of manually altering period adjustments on the daily chart...
Background version of the Dominant Cycle Tuned Rsi Background published here
Introduction Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence. The dominant cycle...
Yet another method for determining the cycle of a market: this time, you have access to the two fastest and most accurate methods as well as the option to average these methods together. The controls are pretty straight forward: Source lets you select the price data to perform calculations on (close, open, etc..) Max Period is simply the cap for the algorithm...
This is my latest bandpass filter - used to determine if a security is in a trend or cycle. Now with an adaptive period setting! I use Ehlers in-phase & quadrature dominant cycle measurement (IQ IFM) method to set the period dynamically. This method favors longer periods which tend to produce smoother, albeit laggier bandpass oscillator plots. From my quick tests,...
Behold! A strategy that makes use of Ehlers research into the field of signal processing and wins so consistently, on multiple time frames AND on multiple currency pairs. The Adaptive Zero Lag EMA (AZLEMA) is based on an informative report by Ehlers and Ric . I've modified it by using Cosine IFM, a method by Ehlers on determining the dominant cycle period without...
Ehlers Smoothed Adaptive Momentum script. This indicator was developed and described by John F. Ehlers in his book "Cybernetic Analysis for Stocks and Futures" (2004, Chapter 12: Adapting to the Trend).