The Heikin Ashi Volatility Percentile (HAVP) Oscillator was inspired by the legendary Bollinger Band Width Percentile indicator(known as BBWP), written by Caretaker, and made famous by Eric Krown, a famous influencer. This script borrows aspects of the BBWP indicator which enables the HAVP oscillator to visually match the look and feel of BBWP and allows similar...

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Love volume analysis but it's hard for you to implement a simple strategy by it? Use OBV. Is OBV still not quite as it should be for you to get it in your trading system? Use OBV Oscillator. Does OBV Oscillator give you too many false signals and when you smooth it, it lags by a ton? Then this indicator is the answer to your problem. Introducing the...

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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...

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Applying a window to the filter weights provides sometimes extra control over the characteristics of the filter.In this script an hamming window is applied to the volume before being used as a weight.In general this process smooth the frequency response of a filter. Lets compare the classic vwma with hamming windowed vwma Something i noticed is that windowed...

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Introduction The stochastic oscillator is a feature scaling method commonly used in technical analysis, this method is the same as the running min-max normalization method except that the stochastic oscillator is in a range of (0,100) while min-max normalization is in a range of (0,1). The stochastic oscillator in itself is efficient since it tell's us when the...

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Introduction The fast z-score is a modification of the classic z-score that allow for smoother and faster results by using two least squares moving averages, however oscillators of this kind can be hard to read and modifying its shape to allow a better interpretation can be an interesting thing to do. The Indicator I already talked about the fisher...

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Introduction The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA , who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something...

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A One Dimensional Kalman Filter, the particularity of Kalman Filtering is the constant recalculation of the Error between the measurements and the estimate.This version is modified to allow more/less filtering using an alternative calculation of the error measurement. Camparison of the Kalman filter Red with a moving average Black of both period 50 Can...

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I normally don't publish my indicators. However, I couldn't find a smoothed stochastic on TradingView officially or unofficially. This is a standard implementation of a smoothed Fast Stochastic where %K and %D are calculated and then smoothed by n periods. This helps to reduce chop and gives better extreme signals. I have defaulted the indicator to use commonly...

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This type of moving average was originally developed by Bruno Pio in 2010. I just ported the original code from MetaTrader 5. The method uses a linear combination of EMA cascades to achieve better smoothness. Well, actually you can create your own X-uple EMA, but be sure that the combination' coefficients are valid.

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The Smoothed Adaptive Momentum indicator was created by John Ehlers and this indicator gives a lot of useful information. When the indicator is above 0 then there is very strong upward momentum and when the indicator falls below 0 then there is very strong downward momentum. A very profitable way to use this particular indicator is buy long when the indicator is...

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The Savitzky-Golay Filter is a polynomial smoothing filter. This version implements 3rd degree polynomials using coefficients from Savitzky and Golay's table, specifically the coefficients for a 5-, 7-, 9-, 15- and 25-point window moving averages. The filters are offset to the left by the number of coefficients (n-1)/2 so it smooths on top of the actual...

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Library "AnalysisInterpolationLoess" LOESS, local weighted Smoothing function. loess(sample_x, sample_y, point_span) LOESS, local weighted Smoothing function. Parameters: sample_x : int array, x values. sample_y : float array, y values. point_span : int, local point interval span. aloess(sample_x, sample_y, point_span) aLOESS, adaptive local...

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Introduction A really old indicator as well, thus i have no much ideas of what is going on with it, but i know that those bands returns good reversals points. The indicator don't use standard deviation, instead its a simple differencing of the price and the price length bars back who will provide a dispersion measurement, thus the name auto-dispersion. The...

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Introduction Its holiday time for me, i have been working here a lot. But no leaving before publishing. Telling when market price is smooth or rough is not the easiest task, so today i present a trend metric indicator that allow you to give you this kind of information. The Indicator The indicator is in an approximate range of (0,1) with mean x̄ decaying...

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A smooth looking indicator created from a mix of ALMA and LRC curves. Includes alternative calculation for both which I came up with through trial and error so a variety of combinations work to varying degrees. Just something I was playing around with that looked pretty nice in the end.

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Introduction Inspired from the Kalman filter this indicator aim to provide a good result in term of smoothness and reactivity while letting the user the option to increase/decrease smoothing. Optimality And Dynamical Adjustment This indicator is constructed in the same manner as many adaptive moving averages by using exponential averaging with a smoothing...

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Adapt To The Right Situation There are already some Adaptive Stochastic scripts out there, but i didn't see the concept of using different periods highest/lowest for their calculations. What we want for such oscillator is to be active when price is trending and silent during range periods. Like that the information we will see will be clear and easy to...

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