OPEN-SOURCE SCRIPT

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.

Standard Deviation is based on Simple Moving Average calculation for mean value. This version is not doing that. It is, instead, using the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA. It is similar to Standard Deviation, but on a first glance you shall notice that it is "faster" than the Standard Deviation and that makes it useful when the speed of reaction to volatility is expected from any code or trading system.

What is Ehlers Super Smoother?
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two-pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.

Things to know
  • The yellow and fuchsia thin line is the original Super Smoother
  • The green and red line is the Corrected Super Smoother
  • When the original Super Smoother crosses above the Corrected Super Smoother line, its a long, when it crosses below, its a short


Included
  • Alerts
  • Signals
  • Bar coloring
correctedehlersehlerssupersmootherExponential Moving Average (EMA)emadeviationcorrectedmovingaveragscalpingStandard DeviationStandard Deviation (Volatility)supersmoother

Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in publication is governed by House rules. You can favorite it to use it on a chart.

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