Least Squares Moving Average (LSMA)

Adaptive Moving Average SD Bands [NJ]✧ OVERVIEW ✧ Adaptive Moving Average SD Bands is a volatility-based, trend-following indicator that builds standard deviation bands around three different moving averages and combines them into a single outer envelope. RMA, SWMA and LSMA are calculated from the same source. Each moving average receives its own standard deviation bands, and the highest upper band and lowest lower band are used as the final bands. Since the three moving averages react to price at different speeds, the envelope

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Adaptive Moving Average ATR Bands [NJ]✧ OVERVIEW ✧ Adaptive Moving Average ATR Bands is a volatility-based, trend-following indicator that builds ATR bands around three different moving averages and combines them into a single outer envelope. SMA, RMA and LSMA are calculated from the same source and length. Each moving average receives its own ATR bands, and the highest upper band and lowest lower band are used as the final bands. Since the three moving averages react to price at different speeds, the envelope adapts its width t

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Trend Quality Index [StrixEDGE]📊 WHAT IT DOES StrixEDGE Trend Quality Index answers the question most trend indicators ignore: not just whether a trend exists, but how good it is. It produces a 0-100 composite score measuring trend quality across four dimensions — velocity, strength, clarity, and multi-timeframe agreement. 🔬 WHY IT'S DIFFERENT ADX tells you trend strength. Supertrend tells you direction. Neither tells you the complete quality picture. TQI combines four independent metrics: LSMA velocity (how fast the trend m

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Adaptive Trend Ensemble [BackQuant]Adaptive Trend Ensemble Overview Adaptive Trend Ensemble is an online-learning trend filter that combines eight different moving-average methods into one continuously weighted trend estimate. Instead of selecting one moving average permanently, the indicator treats each method as an independent forecasting expert. Every bar, each expert is evaluated according to whether its previous slope correctly anticipated the direction of the latest price move. Experts that were directionally correct

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LSMA SD | GForge LSMA SD | GForge LSMA SD is a trend-following oscillator built for swing trading on higher timeframes. It generates rules-based long and exit signals by measuring where price sits within a statistically-defined volatility envelope anchored to a regression-based trend line. Core Calculation The basis line is a Least Squares Moving Average. Unlike a standard moving average which weights past prices, LSMA computes the mathematically optimal straight-line fit across a defined lookback window.

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Z-Score Regression Bands [BOSWaves]Z-Score Regression Bands – Adaptive Trend and Volatility Insight Overview The Z-Score Regression Bands is a trend and volatility analysis framework designed to give traders a clear, structured view of price behavior. It combines Least Squares Moving Average (LSMA) regression, a statistical method to detect underlying trends, with Z-Score standardization, which measures how far price deviates from its recent average. Traditional moving average bands, like Bollinger Bands, often lag be

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Multiple Colored Moving Averages MULTIPLE COLORED MOVING AVERAGES - USER GUIDE DISCLAIMER ---------- Both the code and this documentation were created heavily using artificial intelligence. I'm lazy... This indicator was inspired by repo32's "Moving Average Colored EMA/SMA" indicator. * What is this indicator? ----------------------- This is a TradingView indicator that displays up to 4 different moving averages on your chart simultaneously. Each moving average can be customized with different calculation methods, colors,

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Interpolated Median Volatility LSMA | Otto This indicator combines trend-following and volatility analysis by enhancing traditional LSMA with percentile-based linear interpolation applied to both the Least Squares Moving Average (LSMA) and standard deviation. Rather than relying on raw values, it uses the interpolated median (50th percentile) to smooth out noise while preserving sensitivity to significant price shifts. This approach produces a cleaner trend signal that remains responsive to real market changes, adapts to evolving volatil

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Normalized Linear Regression (LSMA) Oscillator Normalized Linear Regression (LSMA) Oscillator By Nathan Farmer The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation. Key Features: Configurable Normalization Methods: This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean

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by nathanfarmer

Adaptive Volatility-Controlled LSMA [QuantAlgo]Adaptive Volatility-Controlled LSMA by QuantAlgo 📈💫 Introducing the Adaptive Volatility-Controlled LSMA (Least Squares Moving Average) , a powerful trend-following indicator that combines trend detection with dynamic volatility adjustments. This indicator is designed to help traders and investors identify market trends while accounting for price volatility, making it suitable for a wide range of assets and timeframes. By integrating LSMA for trend analysis and Average True Range (ATR) for vol

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Versatile Moving Average Strategy Versatile Moving Average Strategy (VMAS) Overview: The Versatile Moving Average Strategy (VMAS) is designed to provide traders with a flexible approach to trend-following, utilizing multiple types of moving averages. This strategy allows for customization in choosing the moving average type and length, catering to various market conditions and trading styles. Key Features: - Multiple Moving Average Types: Choose from SMA, EMA, SMMA (RMA), WMA, VWMA, HULL, LSMA, and ALMA to best suit your tradi

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by UnknownUnicorn23356524

LSMA Z-Score [BackQuant]LSMA Z-Score Main Features and Use in the Trading Strategy - The indicator normalizes the LSMA into a detrended Z-Score, creating an oscillator with standard deviation levels to indicate trend strength. - Adaptive coloring highlights the rate of change and potential reversals, with different colors for positive and negative changes above and below the midline. - Extreme levels with adaptive coloring indicate the probability of a reversion, providing strategic entry or exit points. - Ale

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Banana RSI Banana RSI is not just ap-PEAL-ing to the eyes! This simple little indicator provides a New Approach to determining Overbought and Oversold levels, as well as taking advantage of a non-typical smoothing method for this type of indicator. Banana RSI uses a Cumulative High and Low Average to draw the upper, lower, and midline. The High and Low Averages use the data only from above or below the Cumulative Average to calculate their respective line. In simpler terms: The High average is an ave

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Moving Average Lab - by InFinito The Moving Average Lab allows to create any possible combination of up to 3 given MAs. It is meant to help you find the perfect MA that fits your style, strategy and market type. This script allows to average, weight, double and triple multiple types and lengths of Moving Averages Currently supported MA types are: SMA EMA VWMA WMA SMMA (RMA) HMA LSMA DEMA TEMA Features: - Double or Triple any type of Moving Average using the same logic used for calculating DEMAs and

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TOMMAR #TOMMAR #MultiMovingAverages #MMAR Dear fellow traders, this is Tommy, and today I'd like to introduce you to the Multi-Moving Averages Ribbon (MMAR) indicator, which I believe to be one of the best MMAR indicators available on TradingView. Moving Averages is a popular technical analysis tool used to smooth out price data by creating an average of past price data points over a specified time period. They can be used to identify trends and provide a clearer view of price action, as well as genera

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by Tommy_Trader

Strategy Myth-Busting #9 - HullSuite+LSMA - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously. Our 9th one is an automated version of the "I Tested The Best 1 Minute Scalping Strategy That Will Blow Your Mind 100 Times" strategy from "Profit Now" who claims to have achieved 36.7% profit scalping XRPUSDT on the

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Regression Fit Bollinger Bands [Spiritualhealer117]This indicator is best suited for mean reversion trading, shorting at the upper band and buying at the lower band, but it can be used in all the same ways as a standard bollinger band. It differs from a normal bollinger band because it is centered around the linear regression line, as opposed to the moving average line, and uses the linear regression of the standard deviation as opposed to the standard deviation. This script was an experiment with the new vertical gradient fill feature.

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by Scalpalytics

SUPER MULTI MOVING AVERAGE [Gabbo]📈 Moving Average Indicator Update - Version 2 🔹 New Features and Improvements: 1️⃣ Enhanced MA Selection for Table Lines: Previously, the indicator did not allow users to choose a different Moving Average type for the table lines. Now, you can select the MA type for the table. 2️⃣ New Table Text Customization Inputs: Added inputs to choose the table text color and size for a more personalized display. 3️⃣ Improved Input Visibility and Organization: We’ve reorganized the inputs s

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Channel Surfing This is my Channel Surfing indicator. It fires Buy and Sell signals based on multiple conditions. You can use EMAs or LSMAs. You will have to check the box of which moving averages to use once you add it to the chart. It plots EMAs or LSMAs using the different sources Close, Low, and High as the channel to surf. It fires a Buy signal if price crosses the channel up and if there is a pullback into the channel followed by a breakout to the upside. It fires a Sell signal if price crosses the

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by barrettdenning

MTF EMA Ribbon & Bands + BB Multi Timeframe Exponential Moving Average Ribbon & Bands + Boillinger Bands I used the script "EMA Ribbon - low clutter, configurable " by adam24x, I made some color change and I added a few indicators (Boillinger Bands, EMA on multi timeframe and EMA bands from "34 EMA Bands " by VishvaP). The script can display various EMA from the chart's timeframe but also EMA from other timeframes. Bollinger Bands and EMA bands can also be added to the chart.

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AMACD - All Moving Average Convergence Divergence This indicator displays the Moving Average Convergane and Divergence ( MACD ) of individually configured Fast, Slow and Signal Moving Averages. Buy and sell alerts can be set based on moving average crossovers, consecutive convergence/divergence of the moving averages, and directional changes in the histogram moving averages. The Fast, Slow and Signal Moving Averages can be set to: Exponential Moving Average ( EMA ) Volume-Weighted Moving Average ( VWMA ) Simple Moving Average ( SMA ) Weighted

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Ratings Algo The ratings algo is my discount version of the many paid-for algorithms put out by numerous different companies. A technical "rating" (by default between -10 and 10) is produced for each candle, telling the user when to buy, sell, or hold. I took 11 of my personal favorite indicators to develop a rating system. They are: 50/200 SMA crossover 10/20 SMA crossover 10/20 LSMA crossover 10/20 EMA crossover "Arnold" a rate-of-change analysis of a smoothed LSMA PVT and OBV momentum MACD RSI DMI Fishe

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Find Best Performing MA For Price Crossover Hello! This script calculates the average percentage gain/loss following a price crossover of a moving of any length, up until prices cross back under the MA. The script calculates the average number of candles that the source (i.e. close, open, low, ohlc4) remains above the moving average until crossing back under, in addition to the number of crosses. Performance is listed from best to worst; descending order. Also listed is the HIGHEST cumulative gains of ALL tested moving averages. The mo

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by KioseffTrading

Find Best Performing MA For Golden Cross Hello! This script calculates the performance of any asset following a golden cross of two moving averages of any length! The calculated moving averages are: SMA, EMA, HMA, VWMA, WMA, LSMA, and ALMA The best performing moving average for the selected data series is listed first, followed by a descending order. The indicator works on any timeframe, any asset, and can even be used on indicators such as RSI, %b, %k, etc. The Moving Average Length and Source Are Customizable! The Moving Average

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by KioseffTrading