Bands

Cloud Institutional Bands | Rainbow Matrix GENERAL OVERVIEW The Cloud Institutional Bands is a statistical price-envelope indicator that maps institutional accumulation and exhaustion zones using deviation channels built on a Log-Normal regression anchored to a dynamic VWAP. Instead of treating the chart as a series of fixed support and resistance levels, the indicator continuously classifies the current price into one of four statistical regimes — and colors the chart accordingly. The main goal of this indicator is to give traders a cl

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由rainbowmatrix提供

VWAP Intraday, Weekly, Monthly A clean, professional implementation of three anchored VWAPs — Intraday, Weekly and Monthly — with standard deviation bands, cloud fills and candle coloring. Built for futures, stocks and forex traders who use VWAP as a core part of their analysis. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IS VWAP? ━━━━━━━━━━━━━━━━━━━━━━━━ Volume Weighted Average Price is the most widely referenced intraday benchmark used by institutional traders, market makers and algorithms. It represents the average price at which all v

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由solowit69提供

Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map 🧠 Core Idea Is the market quietly building expansion energy, or has the release already failed back into the shelf? 📌 Overview / What it does Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality. The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks

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由AGProLabs提供

Iterative Epanechnikov Channel The Iterative Epanechnikov Channel is a kernel-based smoothing and state estimation framework that applies an Epanechnikov kernel regression to price data, combined with a rolling standard deviation envelope to construct adaptive dynamic channel boundaries. Unlike kernels with infinite support that allow distant historical observations to influence the estimate, the Epanechnikov kernel uses a compact weighting structure that strictly limits influence to a finite window. This ensures that only r

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由SensitiveSuit提供

Anchored VWAP Risk Ladder [AGPro Series]Anchored VWAP Risk Ladder 🧠 Core Idea After an important market event, is price trading close to fair value or becoming extended relative to the anchored VWAP? 📌 Overview / What it does Anchored VWAP Risk Ladder builds a volume-weighted average price from a selected anchor event and turns the distance from that anchor into a structured risk ladder. The script displays anchored VWAP, volume-weighted deviation bands, right-side ladder tags, reclaim and lose labels, extension context, and

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由AGProLabs提供

UCY-VWATR (live)═══════════════════════════════════════ UCY-VWATR — Volume Weighted ATR Bands with Supertrend ═══════════════════════════════════════ ▸ OVERVIEW A volatility-band indicator that combines a Volume Weighted Moving Average (VWMA) center line with ATR-based deviation bands and a Supertrend overlay for trend direction. The indicator visualizes how far price extends from its volume-weighted mean in units of Average True Range, while the Supertrend acts as a dynamic trend filter. ══════════════

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由trendBantTrade提供

Lumina Trend Channels & Bands [Pineify]Pineify - Lumina Trend Channels & Bands Lumina Trend Channels & Bands is an overlay indicator that builds a volatility-adjusted trend channel around a Volume-Weighted Moving Average (VWMA). VWMA forms the baseline, while ATR bands define how far price must move before trend state changes. Key Features VWMA midpoint weighted toward higher-volume closes. ATR-based upper and lower bands that adapt to current range. Persistent trend state while price remains inside the channel. Tria

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由Pineify提供

ATC Bollinger Band Percentile v1.1 What It Is The ATC Bollinger Band Percentile (ATC BBP) is a dual-layer oscillator that tells you two things simultaneously: where price sits inside its Bollinger envelope right now, and whether the current volatility environment is compressing, neutral, or expanding — measured against real historical data, not a hardcoded threshold. Most Bollinger Band tools give you the bands. This one gives you the context behind the bands. ________________________________________ Who It's Built For A

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由ATConcepts提供

Segmented Pressure Bands [JOAT]Segmented Pressure Bands Introduction Segmented Pressure Bands (SPB) is an open-source, institutional-grade regression channel system that computes a linear best-fit line and deviation bands from scratch using manual Ordinary Least Squares (OLS) mathematics — no built-in regression functions used. The channel operates in distinct segments: it builds over a dynamic lookback window, freezes all parameters at a minimum length threshold, extrapolates forward using the frozen slope and intercep

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由officialjackofalltrades提供

Opening Range Failure Zones [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, dir

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由AGProLabs提供

Bollinger Walk Quality [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, dir

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由AGProLabs提供

Volatility Regime Cycle [AGPro Series]Volatility Regime Cycle 🌀 Overview Volatility Regime Cycle classifies every bar on your chart into one of four distinct volatility phases: Contraction, Expansion, Climax, and Reset. Unlike traditional trend or regime indicators that focus on price direction, this tool maps the cyclical behavior of volatility itself — helping traders recognize whether the market is coiling, releasing, climaxing, or resetting. Each phase is detected through a multi-factor confluence engine and displayed with g

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由AGProLabs提供

VWAP Cross Flow Engine [AGPro Series]VWAP Cross Flow Engine 🔹 OVERVIEW VWAP Cross Flow Engine is a precision scoring system for price-to-VWAP crossovers. Instead of treating every VWAP cross as a binary signal, this indicator measures the QUALITY of each crossover event in real time using a weighted composite score derived from momentum, volume expansion and optional sigma-band confluence. The engine is designed for intraday scalpers and swing traders who rely on VWAP as a dynamic equilibrium reference and need a structured way

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由AGProLabs提供

Percentile Stretch Bands [AGPro Series]Percentile Stretch Bands 🔹 OVERVIEW Percentile Stretch Bands is an empirical, distribution-free overextension map. Instead of plotting standard deviation envelopes that assume a normal distribution of price behavior, this indicator samples the actual historical distance between price and a chosen reference (EMA, VWAP, or Anchored VWAP) and draws context-specific Stretch and Extreme bands directly from the empirical percentile distribution. The result is a visual reference of how stretched pr

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由AGProLabs提供

Dynamic Trend Pivots [BOSWaves]Dynamic Trend Pivots - Conviction-Driven Trend Detection with Pulse-Adaptive Exhaustion Level Mapping Overview Dynamic Trend Pivots is a conviction-based trend identification and structural level mapping system that tracks directional price commitment through a pulse accumulation engine, where band width, trend confidence, and exhaustion level placement are driven by real-time measurement of close-position conviction across consecutive bars rather than arbitrary moving average relations

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由BOSWaves提供

Value Migration Bands [AGPro Series]Value Migration Bands Value Migration Bands is a chart-first value migration engine that visualizes where the market's accepted-value region has been drifting over time. Instead of a single moving average, it builds a three-layer band (upper / middle / lower) from a rolling percentile window of typical price, then classifies the current environment as Rising, Flat, or Falling Value using an ATR-normalized slope of the migration midline. The result is a scale-invariant, regime-aware view of ho

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由AGProLabs提供

Repricing Belt Engine [AGPro Series]Repricing Belt Engine 🔹 OVERVIEW Repricing Belt Engine identifies qualifying displacement impulses and constructs ATR-scaled repricing belts around the impulse body, then tracks each belt's first-revisit lifecycle through three discrete outcomes: Held, Rejected, and Broken. The engine turns raw impulse candles into structured, evaluable reaction zones — giving traders a clean framework for studying how price behaves when it returns to the scene of a decisive move. Unlike generic supply/dema

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由AGProLabs提供

Cross-Timeframe Value Overlay [AGPro Series]Cross-Timeframe Value Overlay 🔷 Overview Cross-Timeframe Value Overlay projects up to three independent rolling value bands — one per selected higher timeframe — onto a single chart. Each band marks the region where price has been accepted on that timeframe over a configurable lookback window, built from a volume-weighted or mean-based anchor surrounded by an ATR envelope. A built-in state engine then classifies the relationship between bands in real time as ALIGNED, OVERLAP, CONFLICT or NEU

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由AGProLabs提供

Mean Reversion Corridors [AGPro Series]Mean Reversion Corridors 🔹 Overview Mean Reversion Corridors is a volatility-adaptive deviation framework that maps how far price has stretched from a chosen fair-value center and classifies that stretch into two actionable zones. An inner corridor marks the early reversion band where price is meaningfully extended but not yet extreme; an outer corridor marks statistical exhaustion where continuation becomes less probable under normal conditions. A higher-timeframe trend filter separates cont

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由AGProLabs提供

Multi-Anchor VWAP Grid [AGPro Series]Multi-Anchor VWAP Grid 🔹 Overview Multi-Anchor VWAP Grid is a volume-weighted analysis tool that plots five independently anchored VWAP lines on the same chart — anchored from swing high, swing low, higher-timeframe pivot, all-time high, and session open. Each anchored VWAP includes optional ±1σ and ±2σ standard deviation bands, forming a dynamic grid of volume-weighted support and resistance levels. When three or more VWAPs converge within a tight ATR-based band, the indicator draws a rect

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由AGProLabs提供

Iterative Locally Periodic Envelope The Iterative Locally Periodic Envelope is a phase-conditioned kernel estimator with temporal locality and endogenous dispersion modeling, implemented as a Nadaraya–Watson estimator under a locally periodic kernel. The locally periodic kernel defines similarity through cyclical phase alignment modulated by temporal proximity. Observations contribute to the estimator based on both their position within a repeating cycle structure and their recency, emphasizing structural recurrence with sensitiv

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由SensitiveSuit提供

Iterative Periodic Envelope The Iterative Periodic Envelope is a phase-conditioned kernel estimator with endogenous dispersion modeling, implemented as a Nadaraya–Watson estimator under a canonical periodic kernel. The periodic kernel defines similarity through cyclical phase alignment rather than temporal proximity or multi-scale distance decay. Observations contribute to the estimator based on their position within a repeating cycle structure, emphasizing structural recurrence over linear time dependence. The indicator

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由SensitiveSuit提供

Meridian Lens PRO 🟦 Meridian Lens PRO is a multi-kernel trend indicator built on the KernelLens Nadaraya–Watson regression library (a_jabbaroff/KernelLens/1). Three independently configurable kernel lines — Fast, Medium, and Slow — cover the full reactivity spectrum from scalping to position trading, each accepting any of the eight kernel families and three filter modes exposed by the library. The visual layer applies volume-intensity-adaptive coloring, gradient-filled trailing bands, 3-layer neon glow signal ar

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由a_jabbaroff提供

Iterative Rational Quadratic Channel The Iterative Rational Quadratic Channel is a kernel-based smoothing and state estimation framework that applies a Rational Quadratic kernel regression to price data, combined with a rolling standard deviation envelope to construct adaptive dynamic channel boundaries. Unlike exponential kernel methods that prioritize recent data at the expense of historical context, the rational quadratic kernel introduces a heavy-tailed weighting structure that preserves multi-scale memory in price dynamics. T

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由SensitiveSuit提供