Least Squares Moving Average (LSMA)

TL_ID

I want to give credits to @QuantNomad, i got the heikin ashi part of the script from this open script /0iKy7lyG-QuantNomad-Heikin-Ashi-PSAR-Strategy/; and to the other guy that provided a 17 type of moving average script open source but i forgot his name, if someone remember please tell me. My idea was to see how the different types of moving averages behaves in...

dgtrd

Elder-Ray Bear and Bull Power Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing...

DonovanWall

This is an experimental study designed to calculate polynomial regression for any order polynomial that TV is able to support. This study aims to educate users on polynomial curve fitting, and the derivation process of Least Squares Moving Averages (LSMAs). I also designed this study with the intent of showcasing some of the capabilities and potential applications...

QuantNomad

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 (...

alexgrover

Introduction Strategy based on the bilateral stochastic oscillator, this oscillator aim to detect trends and possible reversal points of the current trend. The oscillator is composed of 1 bull line in blue and 1 bear line in red as well as a signal line in orange, the strategy have many options such as two different strategy framework and a martingale mode. If...

auroagwei

The "AC-P" version of Jaggedsoft's RSX Divergence and Everget's RSX script is my personal customized version of RSX with the following additions and modifications: LSMA-D line that averages in three LSMA components to form a composite, the LSMA-D line. Offset for the LSMA-D line is set to -2 to offset latency from averaging togther the LSMA components to form...

DonovanWall

This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations. Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables. In linear regression, the relationships are modeled using...

alexgrover

Introduction Forecasting is a blurry science that deal with lot of uncertainty. Most of the time forecasting is made with the assumption that past values can be used to forecast a time series, the accuracy of the forecast depend on the type of time series, the pre-processing applied to it, the forecast model and the parameters of the model. In tradingview we...

DonovanWall

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...

alexgrover

Introduction At the start of 2019 i published my first post "Approximating A Least Square Moving Average In Pine", who aimed to provide alternatives calculation of the least squares moving average (LSMA), a moving average who aim to estimate the underlying trend in the price without excessive lag. The LSMA has the form of a linear regression ax + b where x ...

alexgrover

Plot a linear regression channel through the last length closing prices, with the possibility to use another source as input. The line is fit by using linear combinations between the WMA and SMA thus providing both an interesting and efficient method. The results are the same as the one provided by the built-in linear regression, only the computation differ. ...

QuantNomad

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...

scilentor

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...

alexgrover

Introduction The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on...

alexgrover

Introduction I inspired myself from the MACD to present a different oscillator aiming to show more reactive/predictive information. The MACD originally show the relationship between two moving averages by subtracting one of fast period and another one of slow period. In my indicator i will use a similar concept, i will subtract a quadratic least squares moving...

DonovanWall

This is an iteration of Steve Nison's Disparity Index that includes 5 different moving average types to choose from.

alexgrover

Lots of moving averages are based on a weighted sum, the most common ones being the simple (arithmetic) and linearly weighted moving average. The problems with the weighted sum approach is that when your moving average is a FIR filter then the number of operations increase with higher values of length, and when the weights are based on a complex calculation this...

alexgrover

Introduction Technical analysis make often uses of classical statistical procedures, one of them being regression analysis, and since fitting polynomial functions that minimize the sum of squares can be achieved with the use of the mean, variance, covariance...etc, technical analyst only needed to replace the mean in all those calculations with a moving average,...