This script is a variation of the popular Bollinger Bands indicator, which uses exponential moving averages (EMA) instead of simple moving averages (SMA) as its core calculation. The indicator is designed to provide a visual representation of volatility, with the distance between the upper and lower bands being determined by the standard deviation of the...
Library "Interpolation" Functions for interpolating values. Can be useful in signal processing or applied as a sigmoid function. linear(k, delta, offset, unbound) Returns the linear adjusted value. Parameters: k : A number (float) from 0 to 1 representing where the on the line the value is. delta : The amount the value should change as k reaches...
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...
About this script: This example aims to highlight an alternative way to view HTF data by providing basic interpolation functionality. This script does not aim to provide use in itself as an indicator or strategy. Reason for study: Educational Purposes Only