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 ...
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...
John Ehler's MESA Stochastic uses super smoothing to give solid signals. This indicator uses the same rules as every other Stochastic indicator so it would be worth looking into if you are not already familiar with reading a Stochastic. There are 4 different lengths displayed to give traders an edge on reading the market. This is a great tool to analyze waves and...
Level: 2 Background John F. Ehlers introuced Super Smoother Filter in Jan, 2014. Function In “Predictive And Successful Indicators” in Jan, 2014, John Ehlers describes a new method for smoothing market data while reducing the lag that most other smoothing techniques have. And this is a very popular filter to eliminate noise of market signal. Key Signal Filt...
Description : This SwissArmyKnife - MultiPurposeIndicator allows user to modify the Directional index based on one of filtering tools proposed by John F.Ehlers . Details of each filtering type can be read in Ehlers Technical Papers: "Swiss Army Knife Indicator" and/or his book "Cybernetics Analysis for Stock and Futures" Disclaimer: These study scripts was built...
Level: 2 Background John F. Ehlers introuced Super Smooth Stochastic Indicator in Jan, 2014. Function In “Predictive And Successful Indicators” of in, 2014, John Ehlers presented another innovative way to eliminate noise from classic indicators and introduces some new smoothing indicators: the SuperSmoother filter, which is superior to moving averages for...
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...
Level: 2 Background John F. Ehlers introuced Two Pole Super Smoother in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004. Function The transfer response of the two-pole Super Smoother is almost identical to the transfer response of the Regularized filter. The difference between the two is that the characteristics of the Super Smoother are...
This is an experimental study designed to calculate polynomial regression for any order polynomial that TV is able to support. This study aims to educate users on polynomial curve fitting, and the derivation process of Least Squares Moving Averages (LSMAs). I also designed this study with the intent of showcasing some of the capabilities and potential applications...
The 2 Pole Super Smoother Filter was created by John Ehlers (Cycle Analytics For Traders pg 32) and this follows the price very closely and very useful because it is consistent with uptrends and falls sharply during a sudden downtrend so it should be able to help you stay more profitable. Buy when the indicator line turns green and sell when it turns red. Let me...
This is an experimental study that calculates filter values at user defined sample rates. This study is aimed to provide users with alternative functions for filtering price at custom sample rates. First, source data is resampled using the desired rate and cycle offset. The highest possible rate is 1 bar per sample (BPS). There are three resampling methods to...
The 2 Pole Super Smoother Filter was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 202) and this one of his filters that follows the price very closely. I would recommend to change the default settings to what fits your trading style the best. Buy when the indicator line turns green and sell when it turns red. Let me know if there are...
This is an experimental study built on the concept of using roofing filters on price data proposed by John Ehlers. Roofing filters are a type of bandpass filter conventionally used in HF radio receivers in the first IF stage to limit the frequency spectrum passed on to later stages in the receiver. The goal in applying roofing filters to a price signal is to...
This Indicator is a combination of Super Smoother Filter and Bollinger Bands %B. This Indicator is used in Trend-Momentum gauging. Use this indicator with Turtle Oscillator.
John Ehlers' Super Smoother 2 and 3 pole - properly initialized www.stockspotter.com Failure to properly initialize early values of the super smoother will result in misleading values early in the output. Because the SS is an IIR ( infinite impulse response) filter, this error can ring in the filter for a long time, but is extremely evident in the first...
This is collection of 3 Momentum Oscillators: *RSI *Stochastic *SRSI You can filter each one with the following options: *SMA *EMA *Hull MA *Linear Regression *Laguerre *SuperSmoother *SuperSmoother
🚀Ehler's RocketRSI by Cryptorhythms This indicator does require some tinkering in cases to line up the waveforms. Here on the 4Hr I have used an RSI LB of 14 and SSF LB of 10. Personally I find its better at picking short entries when the indicator is topping out. For bottoms it a bit less effective. I do not use this indicator by itself, but rather as...
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).