filter

Introduction Today i propose an hybrid filter that use a classical FIR architecture while using recursion. The proposed method aim to reduce the lag generated by fir filters. This particular filter is a sine weighted moving average, but you can change it since the indicator is built with the custom filter template (1). Even if it use recursion it still is a FIR...

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...

Introduction FIR filters (finite impulse response) are widely used in technical analysis, there is the simple or arithmetic moving average, the triangular, the weighted, the least squares...etc. A FIR filter is characterized by the fact that its impulse response (the output of a filter using an impulse as input) is finite, this mean that the impulse response...

Introduction Technical indicators often have parameters settings that the user must enter, those are inconvenient when the user must design a strategy because such settings must be optimized, it must also been noted that the optimal settings at time t could change at time t+n, this is why non parametric indicators are more efficient. Today i propose a moving...

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...

Introduction Using conditions in filters is a way to make them adapt to those, i already used this methodology in one of my proposed indicators ARMA which gave a really promising adaptive filter, ARMA tried to have a flat response when dealing with ranging market while following the price when the market where trending or exhibiting volatile movements, the filter...

Introduction Trailing stop are important indicators in technical analysis, today i propose a new trailing stop A2RTS based on my last published indicator A2RMA (1), this last indicator directly used an error measurement thus providing a way to create enveloppes, which provide a direct way to create trailing stops based on highest/lowest rules. The Indicator ...

Famous Filtered Pivots Indicator -Many TimeFrames Available CM_Pivot Points_M-W-D-4H-1H_Filtered ***Special Thanks to TheLark...AKA...The Coding Genius For Providing His Expertise... ***New Feature - Ability to turn On/Off Pivot Moving Average ***New Feature - Ability to turn On/Off Filtered Pivots (Explained Below) Available Timeframes (Change In Inputs...

Introduction I already mentioned various problems associated with the lsma, one of them being overshoots, so here i propose to use an lsma using a developed and adaptive form of 1st order polynomial to provide several improvements to the lsma. This indicator will adapt to various coefficient of determinations while also using various recursions. More In Depth...

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.

"This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI . First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is...

This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI. First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is...

Check the settings to see how the filters work. I added alerts and a feature that shows the divergences that have been filtered, but as faded "ghost" divergences. Spooooky. This is useful for tuning the script to a particular market. All credit to RicardoSantos for the original.

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).

Even though there are a many other Fractal and Level indicators, this indicator has some unique features. The indicator will display Fractals, fractal levels and HH/LL points, they will only be drawn after they have completed. Also the indicator has options to : Show Ideal Fractals Only. Use Renko Style Fractals, where open/close values are used instead of...

This indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.33:10 (September, 2015): "Decyclers"). The idea is still the same as for the Simple Decycler. Mr. Ehlers suggested to virtually eliminate lag by getting rid of the very low-frequency components. So, he applied the high-pass filter to the simple decycler. Mr. Ehlers recommended to...

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 with...

Roofing filters, first discussed by Mr.John Ehlers, act as a passband, filtering out unwanted noise from market data and accentuating turning points. I have included 2 indicators with filters enabled. Both support double smoothing via options page. All the parameters are configurable. Info on Roofing Filter and Ehlers Super...