This script has been based on ProwdClown's instructions of usage. GM settings 9, 6, 3 should be used, LSMA 25, 0 has been implemented. Original author for main script: LazyBear, xSilas and Ni6HTH4wK, modified By sco77m4r7in and oh92, later modified By scilentor.
A least squares filter using the Auto line as source, practical for noise removal without higher phase shift. Its possible to create another parameter for the auto-line length, just add a parameter Period or whatever you want. r = round(close/round)*round dev = stdev(close,Period) Hope you enjoy :)
You can choose one of these MA types in params: Simple Moving Average ( SMA ) Exponential Moving Average ( EMA ) Weighted Moving Average ( WMA ) Arnaud Legoux Moving Average ( ALMA ) Hull Moving Average ( HMA ) Volume-weighted Moving Average ( VWMA ) Least Square Moving Average ( LSMA ) Smoothed Moving Average ( SMMA ) Double Exponential Moving Average (...
You can choose one of these MA types in params: Simple Moving Average (SMA) Exponential Moving Average (EMA) Weighted Moving Average (WMA) Arnaud Legoux Moving Average (ALMA) Hull Moving Average (HMA) Volume-weighted Moving Average (VWMA) Least Square Moving Average (LSMA) Smoothed Moving Average (SMMA) Double Exponential Moving Average...
This is an experimental study designed to visualize trend activity and volatility using a set of two Bollinger Bands calculated with a basis moving average type of your choice. The available moving averages in this script are: -Exponential Moving Average -Simple Moving Average -Weighted Moving Average -Volume Weighted Moving Average -Hull Moving Average ...
This is an experimental study designed using data from Bollinger Bands to determine price squeeze ranges and active levels of support and resistance. First, a set of Bollinger Bands using a Coefficient of Variation weighted moving average as the basis is calculated. Then, the relative percentage of current bandwidth to maximum bandwidth over the specified sampling...
This is a variation of Gerald Appel's MACD with seven moving average source types to choose from. The MA types I've included in this script are: - Kaufman's Adaptive Moving Average - Geometric Moving Average - Hull Moving Average - Volume Weighted Moving Average - Least Squares Moving Average - Arnaud Legoux Moving Average -...
This study is an experiment based off the concept used in my Dynamic Range Channel indicator. Rather than using a McGinley Dynamic, a moving average of your choice is used in this calculation. There are eight different moving average types to choose from in this script: - Kaufman's Adaptive Moving Average - Geometric Moving Average - Hull Moving...
This is an experimental study inspired by Goichi Hosoda's Ichimoku Kinkō Hyō. In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen. The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the...
This is an experimental study that takes a moving average of price, then offsets the average by up to 11 consecutive Fibonacci numbers from 1 to 144. Choose between Kaufman's Adaptive Moving Average, Hull Moving Average, Fractal Adaptive Moving Average, Geometric Moving Average, or Exponential Moving Average.
This is an iteration of Steve Nison's Disparity Index that includes 5 different moving average types to choose from.
Least Squares Moving Average. This indicator change the back color to the LSMA slope.