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Regression

Alpha Regression Channel R2 [identityKa] Alpha Regression Channel R2 Not just "which way is the trend" but "how clean is it". A regression channel draws the best-fit straight line through recent prices. The slope tells you direction. But the real question for any trend approach is how well price actually follows that line. This tool answers it with R² and shows the answer for three horizons at once. HOW IT WORKS 1. Linear regression line: the least-squares straight line through the last N closes (default 100 bars). 2. R² (coeffi
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من ‎IdentityKa‎
BTC Power-Law Ladder (Point-in-Time)WHAT IT DOES Divides Bitcoin's daily close by a power-law trend line fitted to the lower edge of its own price history, then sorts the result into five labelled rungs. The reading answers one question: how far is price stretched above the floor that has historically held it? This is a risk-framing tool. It is not an entry signal and it is not advice. THE TREND LINE line(d) = 10^a * d^b d = days since the genesis block, 2009-01-03 The coefficients come from a quantile regre
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من ‎RWCS_LTD‎
Linear Regression Channel Fit AuditLinear 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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من ‎SG_Group‎
Variance-Weighted Regression Trend [BackQuant]Variance-Weighted Regression Trend Overview Variance-Weighted Regression Trend is a rolling linear-regression trend indicator that adjusts the influence of observations according to the estimated variance of their regression residuals. The script first calculates a standard ordinary least-squares regression across the selected window. It then measures the squared residuals around that fit and uses those residuals to estimate how variable the regression error has been through the sample. T
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من ‎BackQuant‎
HTF Log-Regression Volume Profile [BigBeluga]🔵 OVERVIEW The HTF Log-Regression Volume Profile is an advanced technical indicator created by BigBeluga to map higher-timeframe logarithmic regression channels combined with an integrated volume profile distribution. Traditional volume profiles are often fixed to standard horizontal ranges or static session boxes that fail to capture curving price trends and logarithmic growth dynamics. In order to provide a solution to this problem, this indicator calculates adaptive higher-timeframe sessi
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من ‎BigBeluga‎
15
Robust Regression Residual Bands [Pineify]Robust Regression Residual Bands Overview This overlay fits a rolling line while bounding influence from unusual closes. It shows a robust center, two MAD shells, confirmed extremes, and an optional dashboard. It is context, not a forecast. Problem Definition Least-squares channels and standard deviation magnify large errors. One gap, wick, or bad print can rotate the line and widen its bands, changing both the reference and the meaning of “far.” Short windows add noise; long ones preser
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من ‎Pineify‎
2
Regression Trend [MiesOnCharts]Regression Trend - Mies What it does This indicator fits a linear regression line to price over a rolling window and draws a corridor around it based on the statistical error of that fit. The corridor is what decides the trend state. As long as price stays inside it, nothing changes. When price closes outside one side, the whole thing flips color and a triangle marks the bar. The result is a trend line that carries its own tolerance band with it, so you can see at a glance both where the fi
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من ‎MiesOnCharts‎
2
Adaptive Regression Breakout Map | GainzAlgoThe 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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من ‎GainzAlgo‎
221
Linear Regression Drag-Drop,custom deviations & gridOverview 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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من ‎krisoz‎
Regression Market Profile [BOSWaves]Regression Market Profile - Curve-Following Distribution Analysis with TPO Letters, Heatmap, and Profile Modes Overview Regression Market Profile is a regression-anchored market profile system that maps the distribution of price activity relative to a best-fit regression curve rather than within fixed horizontal price boundaries, where row assignment, POC identification, value area construction, and interior visualization are all derived from how far actual price deviated from the regre
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من ‎BOSWaves‎
Arbor_Gradient_Boosting_GainzAlgoGainzAlgo is excited to bring the ability to perform gradient boosting and feature importance selection to Pine Script. Currently, there are no native capabilities within Pine Script for gradient boosting or feature importance selection. Arbor fills this significant gap by introducing a from-scratch Gradient Boosting Machine (GBM) engineered with XGBoost-style mechanics. Designed to support both classification and regression tasks, and building on our Random Forest approach to Pinescript, Ar
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من ‎GainzAlgo‎
75
Smart Ichimoku | GainzAlgoOverview Most Ichimoku indicators give you the same signal everyone else gets, a raw cloud cross with no filter, no context, and no target. This indicator rethinks the system from the ground up by combining a smoothed Ichimoku cloud with an inline logistic regression classifier that scores every cloud break in real time, then projects statistically-derived price targets the moment a confirmed signal fires. The result is a cleaner, higher conviction version of one of the most respected trend
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من ‎GainzAlgo‎
201
Log Regression Channel (1000 Bars)This indicator fits a linear regression to the natural log of price over a configurable lookback (default 1000 bars), then plots the resulting trend line along with standard deviation bands above and below it. Working in log space rather than raw price means the fit follows percentage-based (exponential) growth, which suits assets that compound over time. The center line represents the statistical trend over the lookback window. The inner bands sit at 1 standard deviation of the regression resi
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من ‎bwat0513‎
Regression-Slope Divergence with Reliability ScoringRegression-Slope Divergence with Reliability Scoring Most divergence tools tell you a divergence exists. This one tells you whether that divergence has historically mattered on the symbol and timeframe you're actually looking at — and states the conclusion in plain words on the chart. What it plots A normalised momentum oscillator with stretch bands and divergence markers, plus a verdict panel that scores those divergences in real time. By default the chart stays minimal — just the oscillator
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من ‎Market_Logic_India‎
1
Adaptive Volumetric Reversion Channel Fade ValidatorAdaptive Volumetric Reversion Channel — Fade Validator (AVRC) What it is AVRC is an anchored, volume-weighted regression channel that frames mean-reversion ("fade") setups and then gates, scores and validates them — so you can see whether fading stretched price actually has an edge on your symbol and timeframe instead of taking it on faith. It is a study / analysis framework, not a strategy and not a signal service. Why these components are combined (the mashup rationale) Fading an extreme a
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من ‎Market_Logic_India‎
Volumetric Regression Heatmap [LuxAlgo]The Volumetric Regression Heatmap indicator is a sophisticated market analysis tool that combines dynamic linear regression with volume profile density to visualize fair value and liquidity zones. By projecting volume-weighted heatmaps within a trend-following channel, it allows traders to identify where the bulk of trading activity has occurred relative to the current price trajectory. 🔶 USAGE The indicator provides a multi-layered view of market structure. The central heatmap shows the "ho
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من ‎LuxAlgo‎
9
Event HorizonEvent Horizon is a historical analog projection fan designed to answer one practical question: What has price tended to do after market conditions similar to the current one? Instead of using a fixed crossover, oscillator threshold, or trend flip, this indicator builds a market fingerprint from the current chart, searches historical bars for similar conditions, and projects how those past analogs moved forward. The result is a visual forward fan showing possible path behavior, consensus direct
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من ‎Finntech1‎
1
Dual Log Regression Channels [BigBeluga]Dual Log Regression Channels is a highly advanced multi-timeframe mathematical modeling terminal engineered for TradingView. It maps, projects, and blends two independent logarithmic regression channels directly onto your asset layout screen to deliver an institutional-grade perspective on trend structure, market cycles, and structural volume distributions. By separating price discovery parameters into a long-term Macro Channel and an execution-focused Short Term Channel, this tool effect
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من ‎BigBeluga‎
7
Machine Learning: Volume-Weighted Mean Reversion [Dots3Red]█ MACHINE LEARNING: VOLUME-WEIGHTED MEARN REVERSION KERNEL REGRESSION Nadaraya-Watson kernel regression is a non-parametric machine learning method. Unlike moving averages which apply fixed, predefined weights to historical bars, kernel regression derives each bar's weight from a mathematical function — the kernel — that measures how relevant that bar is to the current estimate. No hardcoded coefficients. No assumed shape. The model adapts purely from the data. This script introduces a
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من ‎Dots3Red‎
Regression Trend Reversal Signals & Forecasts [AlgoAlpha]🟠 OVERVIEW Regression Trend Reversal Signals & Forecasts combines multiple regression methods into a single trend and reversal framework. It allows traders to choose between Linear Regression, Theil-Sen Regression, LOESS smoothing, Nadaraya-Watson smoothing, Polynomial Regression, and a Kalman Filter to estimate the underlying price path. The selected regression line acts as the center of a dynamic channel. The channel width is based on the standard deviation of the distance between price and
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من ‎AlgoAlpha‎
11
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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من ‎BigBeluga‎
21
Structural Inefficiency Radar [JOAT]Structural Inefficiency Radar Introduction Structural Inefficiency Radar measures regression fair value, residual z-score, path asymmetry, volatility clustering, and repair/extension force. This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used. Core Concepts 1. Regression Fair Value A linear regression spine represents sta
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من ‎officialjackofalltrades‎
Bitcoin Compressing Power Law ChannelBitcoin Compressing Power Law Channel Most Bitcoin power-law channels draw bands of a fixed width around a long-term trendline. This one is different: the channel width is not constant. It starts wide and compresses exponentially as Bitcoin matures, modeling the idea that long-term volatility around the trend tends to shrink over time. That decaying width is the core idea of this indicator. Why a compressing channel A standard power-law channel assumes the spread between its upper and lower
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من ‎AppTradingRobots‎
1