Least Squares Moving Average (LSMA)

exlux99

This is a long strategy which combines Super trend indicator with LSMA moving average. In general it tends to works better with long trending markets such as stocks and cryptos using a big timeframe. The rules are simple Long entry: Supertrend is telling us to go long and close of a candle is above moving average Long exit: Supertrend is telling us to go...

JohnBaron

Moving averages are filters on price data. This moving average creates a filter which factors in: - the price RSI or it's Momentum - the volume RSI - the RVI or Volatility Each factor is put through a least squares filter to smooth them first. Then the factors are used to build a coefficient for an exponentially weighted average. The chart above shows a...

veryfid

The Moving Average Tool is the only indicator you will ever need to plot MA lines. It comes loaded with 9 different types of moving averages so traders can lay down any line at any length. There is also an option to plot a trigger line. Features: SMA , SMMA, EMA, LSMA, ZLSMA, HULL, LWMA, VWMA and ALMA. Simply pick an average type and enter the desired length.

veryfid

This is a simple script designed to help filter out bad trades. LSMA is a trend king and by using the 21,200 and 1000 length lines traders can get a clear view of where price action is travelling. This indicator is the perfect companion to the LSMA Wave Rider indicator. Once a pullback is discovered (price action crosses under blue or white line) Traders can use...

DonovanWall

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 -...

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...

DonovanWall

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 ...

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 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...

DonovanWall

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

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,...

DonovanWall

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...

alexgrover

Impulse responses can fully describe their associated systems, for example a linearly weighted moving average (WMA) has a linearly decaying impulse response, therefore we can deduce that lag is reduced since recent values are the ones with the most weights, the Blackman moving average (or Blackman filter) has a bell shaped impulse response, that is mid term values...

alexgrover

Introduction There are tons of filters, way to many, and some of them are redundant in the sense they produce the same results as others. The task to find an optimal filter is still a big challenge among technical analysis and engineering, a good filter is the Kalman filter who is one of the more precise filters out there. The optimal filter theorem state that :...

alexgrover

Linearly combining moving averages can provide relatively interesting results such as a low-lagging moving averages or moving averages able to produce more pertinent crosses with the price. As a remainder, a linear combination is a mathematical expression that is based on the multiplication of two variables (or terms) with two coefficients (also called scalars...

alexgrover

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...

alexgrover

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...

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...