John F. Ehlers introuced Three Pole Super Smoother in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004.
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...
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...
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"
These study scripts was built...
John F. Ehlers introuced Two Pole Super Smoother in his "Cybernetic Analysis for Stocks and Futures" chapter 13 on 2004.
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...
3 Moving Average Lines. All parameters are configurable via user input.
Each of these moving average lines already exist as individual indicators in TradingView. This script just bundles them for one stop shopping. It's helpful if you're limited by the number of indicators per chart. And highly educational: quickly compare the different averaging methods!
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.
Provides the functions to...
John F. Ehlers introuced Super Smoother Filter in Jan, 2014.
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.
John F. Ehlers introuced Super Smooth Stochastic Indicator in Jan, 2014.
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...
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.
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...
John Ehlers' Super Smoother 2 and 3 pole - properly initialized
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...