Linear

Linear Regression Channel Fit Audit Linear Regression Channel Fit Audit Overview Linear Regression Channel Fit Audit is a price-chart overlay for studying statistical slope and the behavior of a rolling regression channel. It separates three questions: how well a line fits its own historical window, how the next observation compares with the model available before it arrived, and what happens when an earlier model is kept unchanged through several later observations. The practical question is simple: did price fit the channel t

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Trender [IQ]IQ Trender - TradingIQ 🔹 OVERVIEW IQ Trender is a non-repainting trend rail built around one simple visual language: Flat = range. Ramp = trend. Brightness = conviction. Most trend tools try to follow every movement in price. In sideways conditions, that can leave you reading a line that bends, twitches, and changes direction inside the same noise you were trying to filter. IQ Trender is designed to behave differently. While the market remains inside its adaptive hold zone, the rail stay

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Adaptive Regression Breakout Map | GainzAlgo The Adaptive Regression Breakout Map (ARBM) is an advanced volatility and trend-tracking system designed to identify periods of extreme market compression and automatically map out high-probability breakout trades. Rather than relying on traditional lagging indicators, ARBM utilizes a continuous statistical baseline to measure market "squeezes." Once a breakout is confirmed, the indicator shifts from analysis into execution mode, drawing a dynamic visual map on your chart that outlines precise

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Linear Regression Drag-Drop,custom deviations & grid Overview This indicator lets you draw a precise linear regression channel between any two points in time that you choose — simply drag two time anchors onto the chart. Unlike TradingView's built-in regression tool, which is locked to a fixed lookback, this script gives you full manual control over the exact start and end of the regression window, plus a deviation-based channel, an optional mirrored grid, and a live stats table to help you judge the quality of the fit. How It Works Two drag

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Polynomial/Linear Regression Volume Profile [BigBeluga]Polynomial/Linear Regression Volume Profile is a state-of-the-art charting framework that blends advanced statistical modeling with localized volume distribution analysis. By evolving past traditional, static horizontal volume profiles, this indicator dynamically curves the volume profile matrix around mathematical trend baselines, giving you a hyper-localized view of value zones, support, and resistance across the trend’s lifecycle. Equipped with a switchable Ordinary Least Squares (OLS) cal

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[ A L P H A X ] Slope Spectrum Pro AlphaX Slope Spectrum Pro — Multi-Period Regression Oscillator, Adaptive Signal Line, Momentum Acceleration, Statistical Regime Detection, Classic & Hidden Divergence & Conviction Dashboard AlphaX Slope Spectrum Pro is a professional-grade trend momentum oscillator built on a proprietary multi-period linear regression engine that scans across an entire range of lookback periods simultaneously and synthesizes them into a single adaptive oscillator value per bar. Rather than relying on a fixed-p

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por AlphaX-Trade

Dynamic Support & Resistance V3 Dynamic SRT V3 by Anonycryptous inspired by Ilja V. Compared to the previous version, a completely new and accelerated concept. Dynamic SRT V3 is a professional structural mapping suite that identifies high-density liquidity zones through a dual-engine calculation process. By merging a 6-Tiered Pivot Architecture with a Validated Diagonal Scoring Engine, it provides a surgical view of market boundaries, allowing traders to distinguish between minor price fluctuations and major institutional wal

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por Anonycryptous

Multi-Timeframe EMA SMA HMA LR Proximity & Alerts [HYPR-run]DESCRIPTION: Nine moving averages from Weekly down to chart timeframe on one chart. Weekly 10 SMA, Daily 50/100/200 EMA/SMA, 4hr 200 SMA, plus chart-TF 10 EMA, 200 SMA, Hull MA, and Linear Regression. See where price sits relative to every meaningful institutional level without switching timeframes. The proximity filter is the key feature. Enable all nine MAs, set a threshold, and only lines near current price appear. The Daily 200 SMA at 20% away? Hidden. When price drops toward it, the line s

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Adaptive Linear Regression Structure [MarkitTick]💡 This indicator, is a sophisticated analytical tool designed to bridge the gap between classical statistical modeling and modern price action theory. By leveraging high-performance Ordinary Least Squares (OLS) calculations, it dynamically identifies the most statistically significant market structures—specifically linear regression channels—based on historical pivot points. Unlike static channels that rely on arbitrary lookback periods, this script scans a historical "horizon" of structural piv

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Linear Regression [Anchored, Band, Signals]OVERVIEW This indicator is a statistical analysis tool that plots linear regression channels alongside dynamic deviation bands. It aims to provide a flexible framework for observing price distribution and momentum quality without making predictive claims. ORIGINALITY This indicator provides advanced options for linear regression-based analysis. 📌 Allows setting the calculation window length based on a fixed bar count or an anchored timeframe. 📌 Draws regression channels in either linear or log

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Jamallo s - Trend Sniper my first indicator from 2022. Trend Sniper uses two dynamic lines to identify trend direction and signal trade entries. The first line is a volatility-adaptive moving average that weights price movement based on the ratio of body size to wick range — reacting faster during strong directional moves and slower during chop. The second line is a linear regression of closing prices over a longer period, acting as the trend baseline.

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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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Volume Weighted Intra Bar LR Kurtosis This indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") of a SINGLE BAR into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Intra-Bar LR Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression line through the intra-bar data to decompose the 4th Moment: - **Trend Kurtosis

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por AustrianTradingMachine

Volume Weighted LR Kurtosis This indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Kurtosis Decomposition:** The indicator separates market tail risk based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 4th Statistical Moment: - **Trend Kurtosis (Gold):** Peakedness of the regression

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por AustrianTradingMachine

Volume Weighted Intra Bar LR Skewness This indicator analyzes market character by decomposing total skewness (asymmetry) of a SINGLE BAR into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Intra-Bar LR Skewness Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression line through the intra-bar data to decompose the 3rd Moment: - **Trend Skewness (Green/Re

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por AustrianTradingMachine

Volume Weighted LR Skewness This indicator analyzes market character by decomposing total skewness (asymmetry) into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Skewness Decomposition:** The indicator separates market asymmetry based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 3rd Statistical Moment: - **Trend Skewness (Green/Red):** Asymmetry originating from

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por AustrianTradingMachine

Volume Weighted Intra Bar LR Correlation This indicator analyzes market character by providing a detailed view of correlation. It applies a Linear Regression model to intra-bar price action, dissecting the total correlation of each bar into three distinct components. Key Features: 1. **Three-Component Correlation Decomposition:** The indicator separates correlation based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates correlation based on the selected `Source`

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por AustrianTradingMachine

Volume Weighted LR Z Score This indicator calculates the Volume Weighted Linear Regression Z-Score (VWLRZS). Unlike a standard Z-Score which measures deviation from a static mean, this oscillator measures the statistical distance of price from a dynamic Volume-Weighted Linear Regression Line (Analysis of Residuals). Key Features: 1. **Volatility Decomposition:** The indicator separates volatility based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates

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por AustrianTradingMachine

Regression Channel An enhanced version of TradingView's Linear Regression Channel that displays multiple upper and lower deviation channels with support for both linear and exponential regression models. Getting Started & Usage This indicator overlays a regression channel with up to 4 customizable standard deviation levels above and below the regression line. By default, it uses linear regression, but you can switch to an exponential regression model for curved price trends. For detailed explanations of the

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por ZenithClown

Quantum Regression Oscillator [ICN]The Problem: The Lag of Standard Oscillators Most traders rely on the Relative Strength Index (RSI) or MACD to gauge momentum. While these are legendary tools, they suffer from a critical flaw: Lag. They calculate what has happened, often giving signals after the move is already halfway done. The Quantum Regression Oscillator (QRO) was built to solve this. It is not a simple average; it is a predictive engine. The "Quantum" Math (How It Works) Instead of using standard smoothing (like SMA

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por abgthecoder

LogTrend Retest Engine LogTrend Retest Engine (LTRE) LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering . Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends. 🔹 How It Works Logarithmic R

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por Cryptobingbong

Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model . It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior. 🔵 CONCEPTS Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price.

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Volume Weighted Volatility Regime The Volume-Weighted Volatility Regime (VWVR) is a market analysis tool that dissects total volatility to classify the current market 'character' or 'regime'. Using a Linear Regression model, it decomposes volatility into Trend, Residual (mean-reversion), and Within-Bar (noise) components. Key Features: Seven-Stage Regime Classification: The indicator's primary output is a regime value from -3 to +3, identifying the market state: +3 (Strong Bull Trend): High directional, upward volatility. +2

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por AustrianTradingMachine

Volume Weighted Intra Bar LR Standard Deviation This indicator analyzes market character by providing a detailed view of volatility. It applies a Linear Regression model to intra-bar price action, dissecting the total volatility of each bar into three distinct components. Key Features: Three-Component Volatility Decomposition: By analyzing a lower timeframe ('Intra-Bar Timeframe'), the indicator separates each bar's volatility into: Trend Volatility (Green/Red): Volatility explained by the intra-bar linear regression slope (Momentum). Res

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por AustrianTradingMachine