Modified Ehlers Empirical Mode Decomposition indicator for swing trade based on Butterworth 2nd order IIR filter Description This script is inspired by John Ehlers' TECHNICAL PAPERS - Truncating Indicators and Empirical Mode Decomposition. But instead of detecting trend it applies to finding swing regions. Also here is suggested canonical DSP approach for...

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The Deviation Scaled Super Smoother was created by John Ehlers and this is an excellent moving average that changes direction very quickly and can keep up with the current underlying trend. This indicator works by applying a Hann Windowed Moving Average to the stock's momentum and scaling that by the Root Mean Square and then using that value in the input for a ...

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This indicator builds upon the previously posted Nadaraya-Watson Estimator. Here we have created an envelope indicator based on kernel smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson Estimator, this indicator follows a contrarian methodology. For more information on the Nadaraya-Watson Estimator...

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Library "FFTLibrary" contains a function for performing Fast Fourier Transform (FFT) along with a few helper functions. In general, FFT is defined for complex inputs and outputs. The real and imaginary parts of formally complex data are treated as separate arrays (denoted as x and y). For real-valued data, the array of imaginary parts should be filled with...

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The Average Error Filter was created by John Ehlers and this is a variation of a Zero Lag Exponential Moving Average that uses a Super Smoother to filter out the noise and then uses a second Super Smoother of the difference between the current price and the filtered data. This works well as a trendline and does give out a few false signals like all indicators...

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The High Pass Filter was created by John Ehlers and I would define this indicator as both a momentum indicator but also a predictor indicator. This does a pretty good job of predicting future price action even though I have double smoothed it to provide clear buy and sell signals. I will be publishing quite a few more Ehlers indicators very soon so stay tuned....

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The following tool smooths the price data using the Nadaraya-Watson estimator, a simple Kernel regression method. We make use of the Gaussian kernel as a weighting function. Kernel smoothing allows the estimating of underlying trends in the price and has found certain applications in stock prices pattern detection. Note that results are subject to repainting,...

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Time Series Lag Reduction Filter by Cryptorhythms Description A little filter to reduce lag on any time series data. Here we use an EMA to demonstrate how it works, but you could use it in many different ways/appications. This method can cause overshoot if you get too aggressive with the "lagReduce" setting. In this case lower the lagReduce variable. 👍 We...

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This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity. Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times. First, beta and alpha are calculated based on the sampling period and number of poles specified. The...

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This indicator was originally developed by Mark Jurik. NOTE: If Mr. Jurik ask me to remove this indicator from public access then I will do it.

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A derivation of the famous SuperTrend indicator. My motivation for such indicator was to use more recursion in the original SuperTrend code, this work was made quite fast but feel free to modify it, as always my work is more for inspirational use than anything else so i hope it will inspire you to get more involved with the SuperTrend code or to start coding...

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Moving averages are filters on price data. This moving average creates a filter which factors in: - the price RSI or it's Momentum - the volume RSI - the RVI or Volatility Each factor is put through a least squares filter to smooth them first. Then the factors are used to build a coefficient for an exponentially weighted average. The chart above shows a...

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This is a version 3 of my mod of the script by alexgrover - Efficient Trend Step. The logic is based on calculation of Kaufman's efficiency ratio (ER): ER = Direction / Volatility where: Direction = ABS (Close – Close ) Volatility = n ∑(ABS(Close – Close )) n = The efficiency ratio period. This version features volatility and volume filter and custom...

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Gaussian Filter script. This indicator was described by John F. Ehlers in his book "Rocket Science for Traders" (2001, Chapter 15: Infinite Impulse Response Filters).

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Introduction I already estimated the least-squares moving average numerous times, one of the most elegant ways was by rescaling a linear function to the price by using the z-score, today i will propose a new smoother (FLSMA) based on the line rescaling approach and the inverse fisher transform of a scaled moving average error with the goal to provide an...

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Day trading trend filter indicator designed to hep get better entries or exits based on historical opens and closes each hour. This indicator is NOT designed as an entry or exit signal. The purpose behind it is to give you statistical information about how likely certain times of day are either bullish , bearish or neutral and use that to confirm or reject other...

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Introduction Inspired from the Kalman filter this indicator aim to provide a good result in term of smoothness and reactivity while letting the user the option to increase/decrease smoothing. Optimality And Dynamical Adjustment This indicator is constructed in the same manner as many adaptive moving averages by using exponential averaging with a smoothing...

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This little script simply gives you a quick visual cue of where price is compared to a particular EMA of another security or underlying index. It is based on Nick Radge's broader market filter weekend trend trader system, but can be applied to other timeframes if you want to confirm if the index is in an up trend or down trend. • Green means the underlying...

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