Supersmoother

Adaptive SuperSmoother [SchizoQuant]🟣Adaptive SuperSmoother is a trend-regime indicator that combines a volatility-adaptive moving average, an Ehlers-style SuperSmoother filter, directional-efficiency weighting, and a noise-adjusted slope threshold. The indicator adapts both its responsiveness and its filtering behavior to changing market conditions. Volatility determines the effective moving-average period, directional efficiency determines the balance between the faster adaptive component and the smoother filtered component, a

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par SchizoQuant

Trend Following SuperSmoother - Accumulation Zones [JW]Trend Following SuperSmoother - Accumulation Zones A Pine Script trend following indicator designed to identify systematic accumulation opportunities, profit-taking periods and broader position cycles using a smoothed oscillator framework. The indicator is intended primarily for long-horizon analysis, with particular emphasis on distinguishing early trend reversals from pullbacks within established positive trends. -----------------------------------------------------------------------------

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Butterworth Spectral Trend [QuantAlgo]🟢 Overview The Butterworth Spectral Trend is a trend-following indicator built on a 2-pole Butterworth SuperSmoother rather than fixed moving averages or crossover logic. It extracts a low-noise spectral trend path from price, optionally stretches or compresses that path’s cutoff from residual signal-to-noise conditions, then converts filter slope into direction with hysteresis and hold controls so traders can separate genuine trend turns from short-lived noise across every timeframe and mar

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KEAS Library "KEAS" ⯁ KEAS — Kalman‑Ehlers Adaptive Smoother ◈ Purpose Produces a low-lag, noise-resistant smoothed price series by fusing two complementary adaptive engines: a Two-State Kalman Filter (position + velocity) and an Ehlers 2-Pole SuperSmoother with adaptive length. A quality-driven weighting layer continuously measures each engine's performance and blends them into a single hybrid output that balances smoothness, lag and responsiveness. ◈ Inputs ⬦ src → Price source (series f

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Trend Sniper v2.5 [Jamallo](2025) Intro Trend Sniper v2.5 is built around a novel-unique core construction — the Butterworth Stop : a ratcheting trailing stop anchored to a 2-Pole Butterworth Super Smoother and dynamically sized by Parkinson Volatility. While each algorithm used is individually well-documented, this specific combination is rare and not found in standard indicator libraries — most Butterworth implementations are simply plotted as trend lines, not used as the structural anchor of a volatility-ad

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Ehlers Super Smoother Trend Score [BackQuant]Ehlers Super Smoother Trend Score Overview Ehlers Super Smoother Trend Score is a regime and trend-strength indicator built on a signal-processing filter created by John F. Ehlers. Instead of smoothing price with a standard moving average (which is mathematically crude and prone to noise and aliasing), this indicator applies the Ehlers Super Smoother, a Butterworth-style low-pass filter designed specifically for market data. The filtered series is then scored for directional persistence a

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SuperSmoother MA Oscillator SuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework Overview The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw

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[GYTS] Ultimate Smoother (3-poles + 2 poles)Ultimate Smoother (3-pole) 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- INTRODUCTION --------- 🌸 💮 Release of 3-Pole Ultimate Smoother This indicator presents a new 3-pole version of John Ehlers' Ultimate Smoother (2024) . This results in an unconventional filter that exhibits effectively zero lag in practical trading applications, regardless of the set period. By using a 2-pole high-pass filter in its design, it responds to price direction changes on the same bar, while st

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Pseudo Super Smoother [PSS]The Pseudo Super Smoother (PSS) is a a Finite Impulse Response (FIR) filter. It provides a smoothed representation of the underlying data. This indicator can be considered a variation of a moving average, offering a unique approach to filtering price or other data series. The PSS is inspired by the Super Smoother filter, known for its ability to reduce noise while maintaining a relatively low delay. However, the Super Smoother is an Infinite Impulse Response (IIR) filter. The PSS attempts to ap

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par The_Peaceful_Lizard

[Excalibur] Ehlers AutoCorrelation Periodogram Modified Keep your coins folks, I don't need them, don't want them. If you wish be generous, I do hope that charitable peoples worldwide with surplus food stocks may consider stocking local food banks before stuffing monetary bank vaults, for the crusade of remedying the needs of less than fortunate children, parents, elderly, homeless veterans, and everyone else who deserves nutritional sustenance for the soul. DEDICATION: This script is dedicated to the memory of Nikolai Dmitriyevich Kondratiev (Ник

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par ImmortalFreedom

Stochastic of Two-Pole SuperSmoother [Loxx]Stochastic of Two-Pole SuperSmoother is a Stochastic Indicator that takes as input Two-Pole SuperSmoother of price. Includes gradient coloring and Discontinued Signal Lines signals with alerts. What is Ehlers ; Two-Pole Super Smoother? From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantial

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Adaptive Two-Pole Super Smoother Entropy MACD [Loxx]Adaptive Two-Pole Super Smoother Entropy (Math) MACD is an Ehlers Two-Pole Super Smoother that is transformed into an MACD oscillator using entropy mathematics. Signals are generated using Discontinued Signal Lines. What is Ehlers; Two-Pole Super Smoother? From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output w

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smoothed_rsi Description: A well-known and vastly used momentum indicator, a Relative Strength Index (RSI) by J. Welles Wilder Jr., aims to evaluate the current price to its oversold/overbought area while giving an overview of bearish/bullish momentum. In this indicator, simply adding the super-smoother function (John F. Ehlers) was applied to the RSI line to create a more smoothed line and reduce its noise. RSI: RSI = 100 - 100/(1+RS) RS = AvgUp/AvgDown super_smoother(rsi) Notes: RSI > 70 indic

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par palitoj_endthen

EMA-Deviation-Corrected Super Smoother [Loxx]This indicator is using the modified "correcting" method. Instead of using standard deviation for calculation, it is using EMA deviation and is applied to Ehlers' Super Smoother. What is EMA-Deviation? By definition, the Standard Deviation (SD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility

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One-Sided Gaussian Support & Resistance Rate [Loxx]One-Sided Gaussian Support & Resistance Rate is a mean reversion oscillator much like Fisher Transform. This indicator is built using a one-sided Gaussian filter. If you pair this with Fisher Transform and line up the settings, you'll notice similar outcomes. You'll notice that as the oscillator levels out at around zero or one that this signifies a zone of resistance or support. See here for more details on calculating the OS Gaussian Filter: Included: Bar coloring Signals Alerts

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Zero-lag, 3-Pole Super Smoother [Loxx]Zero-lag, 3-Pole Super Smoother is an Ehlers 3-pole smoother with lag reduction What is 3-pole Super Smoother? A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantially less lag for an equivalent amount of smoothing produced by the moving average. For example, a five-bar SMA has a cutoff period of approximately 10 bars and has two bars of lag. A SuperSmoother filter with a cutoff

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3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping [Loxx]3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping is an Ehlers 3-pole smoother with EMA deviations corrective stepping. This allows for greater response to volatility. What is 3-pole Super Smoother? A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantially less lag for an equivalent amount of smoothing produced by the moving average. For example, a five-bar SMA has a c

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Relative Strength Super Smoother by lastguru A better version of Apirine's RS EMA by using a superior MA: Ehlers Super Smoother. In January 2022 edition of TASC Vitaly Apirine introduced his Relative Strength Exponential Moving Average. A concept not entirely new, as Tushar Chande used a similar calculation for his VIDYA moving average. Both are based on the idea to change EMA length depending on the absolute RSI value, so the moving average would speed up then RSI is going up or down from the center value (when there is a significant dir

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[blackcat] L2 Ehlers Super Smoother (3 poles)Level:2 Background The third-order super smoother low-pass butterworth filter (3 pole) is a classic J.F Ehlers indicator. Function I have found many places where the algorithms are not uniform and some are even wrong. So, I did some research and wrote a low pass filter that I think is correctly defined. This indicator is often used as one of the basic elements of other trading systems. When you are using it, you need to enter the Period setting period. Remarks Free but Open Source

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par blackcat1402

Adaptive MA Difference constructor [lastguru]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 square (RMS) over Slow MA length. Inverse Fisher Transform is then used to force the -1..1 range. Same Postfilter options are prov

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Adaptive MA constructor [lastguru]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 previously published public libraries and also serve as a usage demonstration for them. I will try to expand the collection (suggestions a

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Ehlers_Super_Smoother The 2 Pole and 3 Pole Super Smoother Filters were developed by John Ehlers and described in "Chapter 13: Super Smother" of his book Cybernetic Analysis for Stocks and Futures . The 2 Pole Smoother is described as being a better approximation of price, whereas the 3 Pole Smoother has superior smoothing. Library "Ehlers_Super_Smoother" Provides the functions to calculate Double and Triple Exponentional Moving Averages (DEMA & TEMA) twoPole(_source, _length) Calculates 2 Pole Ehlers Super S

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par FatTailAlgo

Ehlers Deviation Scaled Super Smoother [CC]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 Super Smoother . I have included strong buy and sell signals in addition to normal ones so lighter colors are normal signals and dark

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par cheatcountry

Ehlers Average Error Filter [CC]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 inevitably do but most signals do a good job of keeping up with the trend and providing clear entries and exits when the trend changes.

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par cheatcountry