Volatility Expansion Planner [AGPro Series]Volatility Expansion Planner
🧠 Core Idea
Is volatility expanding with structure, or is the chart only producing random noise?
📌 Overview / What it does
Volatility Expansion Planner is a chart-first volatility expansion and breakout quality tool built to evaluate whether a release from compression has enough structure to deserve active attention.
Instead of showing another generic expansion signal, the script studies ATR expansion, prior range release, close efficiency, volume support, trend alignment, compression age, and the active risk shelf behind the move. These components are converted into a 0-100 Expansion Score and a clear next-action state.
The script produces an expansion corridor, ATR expansion band, prior range edge, risk shelf, compact quality labels, alerts, and a clean AGPro planning panel. It does not predict future price movement, automate decisions, or guarantee that an expansion will continue.
🎯 Purpose & Design Philosophy
This script was built for traders who want to separate structured volatility expansion from unstable noise.
Many volatility tools identify compression, release, or regime changes, but they often stop before answering the practical planning question: is the expansion clean enough to evaluate, and where is the risk reference if the release fails?
The design philosophy is simple: volatility expansion is only useful when it has structure, confirmation, and a readable risk shelf.
⚡ Why This Script Is Different
Most tools focus on squeeze dots, volatility regime labels, ATR readings, or basic breakout markers.
This script does NOT clone a Squeeze Momentum Indicator, does not rebuild an ATR Compression Map, and does not act as a generic breakout signal.
Instead, it evaluates whether expansion is structurally supported. The main output is not a trade command. It is a planning state that helps users distinguish STRUCTURED expansion from WATCH, RISK REVIEW, NOISE, or WAIT conditions.
⚙️ Methodology
1. Context Detection
The script reads the active expansion side using prior range release and trend context, or lets the user force long-side or short-side expansion planning.
2. Reference Mapping
It maps the prior range edge, current ATR expansion, compression age, risk shelf, and projected expansion corridor.
3. Reaction Evaluation
The model scores ATR expansion, range breakout, close efficiency, volume support, trend alignment, compression maturity, and risk shelf quality.
4. Visual Output
The result is displayed through an expansion corridor, ATR band, range edge, risk shelf, compact labels, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the expansion corridor shows the projected release path from the prior range edge toward a measured target guide. Its label is centered inside the corridor.
Labels = compact state markers show STRUCTURED, WATCH, RISK REVIEW, NOISE, or SHELF CHECK context.
Colors = green highlights cleaner structured expansion, pink highlights unstable expansion risk, amber highlights review conditions, and indigo highlights watch conditions.
Panel = the panel summarizes Expansion Score, Squeeze Age, Confirmation, Risk Shelf, and Action.
🚦 Signals & States
• STRUCTURED → volatility is expanding with range release, confirmation, and a usable risk shelf.
• WATCH → expansion context is improving but confirmation is incomplete.
• RISK REVIEW → expansion is active but the risk shelf is too tight or too wide for clean planning.
• NOISE → volatility is hot or inefficient and may represent unstable movement.
• WAIT → the script does not detect a strong enough expansion context yet.
• SHELF CHECK → price crossed the prior risk shelf and the expansion context should be reviewed.
🔔 Alerts Logic
Alerts trigger when the planner enters STRUCTURED expansion, WATCH state, NOISE state, RISK REVIEW state, or when price crosses the prior risk shelf.
These alerts are attention markers only. They are not trade instructions, entry signals, or automated strategy commands.
🧩 Confluence Logic
The strongest context appears when ATR expands from a prior compressed structure, price closes beyond the prior range edge, candle efficiency is strong, volume support improves, trend alignment agrees with the expansion side, and the risk shelf remains readable.
When these components align, the Expansion Score improves and the state can move from WATCH to STRUCTURED.
📊 When to Use
• Before evaluating volatility expansion after a quiet range
• During breakout or continuation attempts where expansion quality matters
• When price releases from a prior structure but confirmation is uncertain
• When comparing whether an expansion has clean risk context or only noisy movement
• On liquid symbols where range, volume, and ATR behavior are readable
⚠️ When NOT to Use
• Very low-liquidity symbols with unstable candles
• Extremely noisy micro-timeframes
• News-driven spikes where ATR expands abruptly without structure
• Markets where volume is unreliable and price gaps distort the risk shelf
• Situations where the user expects a signal-only entry tool
🎛️ Key Inputs
• Expansion Side → controls Auto, Long Expansion, or Short Expansion mode.
• Prior Range Lookback → controls how the script maps the range edge before release.
• ATR Baseline → controls how current volatility is compared with normal volatility.
• Minimum Squeeze Age → defines how mature compression should be before stronger expansion scoring.
• Risk Shelf Lookback → controls the shelf used behind the expansion for planning context.
• STRUCTURED Threshold → sets the minimum score required for the strongest state.
• Label and Panel Font Size → controls chart labels, corridor text, and panel readability.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The expansion corridor gives the main visual story. The range edge and risk shelf define the practical planning frame. The ATR band adds volatility context without turning the script into a lower-pane oscillator.
The AGPro panel provides a compact decision summary with a merged blue title row and clear state hierarchy.
🧪 Practical Usage Workflow
1. Read the panel state and Expansion Score.
2. Check whether price is releasing from the prior range edge.
3. Review the risk shelf distance and confirmation state.
4. Compare the expansion corridor with broader structure.
5. Treat alerts as attention markers, then evaluate the broader market context.
🔍 Interpretation Guidelines
Think in terms of expansion quality, not prediction.
A stronger score means multiple structural conditions are aligned. A weaker score means expansion may be premature, poorly confirmed, too hot, or difficult to plan around.
RISK REVIEW is especially important because volatility can expand while the practical risk reference remains too tight, too wide, or unclear.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not a guaranteed signal tool
• Not a Squeeze Momentum clone
• Not an ATR Compression Map clone
⚠️ Limitations & Transparency
The script is rule-based and depends on recent price, volatility, range, and volume behavior.
Timeframe differences can change how compression and expansion appear. Volatility spikes can temporarily distort the score. Symbols with unreliable volume may produce weaker participation readings.
Outputs should always be interpreted with broader market structure and liquidity context.
🧠 Market Context Notes
Volatility expansion is most useful when it appears after a readable compression phase and respects a clear structural shelf.
Expansion without shelf clarity can still move, but it is harder to plan around. Expansion with poor close efficiency or excessive ATR heat can be noisy even when price breaks a range edge.
🧾 Use Case Examples
When price closes beyond a prior range edge with rising ATR, improved volume support, efficient candle structure, and a defined risk shelf, the planner may classify the move as STRUCTURED.
When ATR expands sharply but candles close poorly and the shelf is too far away, the planner may classify the context as NOISE or RISK REVIEW.
🧱 System Philosophy
AGPro planning tools are designed to help traders evaluate context before reacting.
This script follows that philosophy by turning volatility expansion into a structured planning question: Is the release clean, confirmed, and readable enough to deserve attention?
🔐 Non-Promise Statement
No indicator can guarantee continuation, reversal, or follow-through.
This tool provides structured visual context and rule-based attention markers. It does not provide certainty.
📉 Risk Disclosure
Trading involves risk. Market conditions can change quickly, and no script can remove uncertainty.
Users are responsible for their own analysis, risk management, and decisions.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use the planner to study how volatility behaves after compression, how expansion quality changes across timeframes, and how risk shelf clarity affects the readability of a move.
Indicator
Squeeze Momentum Indicator [AGPro Series]Squeeze Momentum Indicator
🔷 OVERVIEW
Squeeze Momentum Indicator is a lower-pane volatility and momentum engine built for traders who want more structure than the classic squeeze workflow usually provides.
At its core, the script studies a very specific sequence in market behavior:
volatility compression,
compression release,
directional pressure after release,
and whether that pressure is strengthening, fading, or slipping back toward balance.
Most squeeze-style indicators stop at a simple yes/no squeeze condition and a basic momentum histogram around the zero line. This script is designed to go further without becoming noisy. It keeps the familiar Bollinger Band vs Keltner Channel compression logic that many traders already understand, but it rebuilds the momentum side around a different internal model so the post-squeeze move can be judged with more nuance.
The result is a more structured answer to an important practical question:
when volatility finally expands, is the move actually carrying useful directional pressure, or is it only a shallow release that may lose energy quickly?
🔷 WHAT THIS SCRIPT DOES
This indicator combines four layers into one compact oscillator workflow:
1. Volatility compression detection
It identifies squeeze conditions using Bollinger Band and Keltner Channel relationship logic.
2. Compression depth tracking
It does not only ask whether a squeeze exists. It also tracks how tightly the Bollinger envelope sits inside the Keltner envelope, which helps frame how compressed the market really is.
3. ATR-normalized momentum pressure
Instead of using the classic legacy-style squeeze momentum formula, this script blends:
- displacement from equilibrium
- directional velocity of that equilibrium
- path efficiency of recent price travel
This creates a momentum engine that is designed to evaluate the quality of directional pressure after release, not just whether a histogram is above or below zero.
4. Adaptive expansion / fade context
The script builds dynamic balance and burst zones around momentum, then classifies whether price is:
- compressing
- releasing with bullish pressure
- releasing with bearish pressure
- continuing directionally
- fading after an elevated move
- rotating back toward balance
This makes the tool especially useful for traders who want squeeze timing, but do not want to treat every release as equally meaningful.
🔷 WHAT MAKES THIS DIFFERENT FROM MOST SQUEEZE INDICATORS
The squeeze concept is widely known, but many public versions still revolve around the same structure:
a binary compression state and a very simple momentum histogram.
This script is intentionally different in several ways:
• It treats squeeze as a volatility gate, not as the full identity of the indicator.
• It uses an original blended momentum model rather than reusing the standard linear-regression style momentum formula associated with many older versions.
• It adds adaptive momentum zones so the oscillator can distinguish between ordinary movement and higher-energy expansion.
• It marks not only burst phases, but also momentum fade phases, which helps separate continuation pressure from cooling pressure.
• It includes restrained release labels, release boxes, and a compact information panel so the visual output stays premium and readable instead of overloaded.
In short, this script is not trying to be another cosmetic variation of an old squeeze formula.
Its objective is narrower and more analytical:
measure the quality of post-compression directional pressure in a clean lower-pane environment.
🔷 HOW THIS SCRIPT IS DIFFERENT FROM OTHER AGPRO TOOLS
This part matters because originality and role separation inside a script catalog are important.
Within the AGPro Series, this indicator is intentionally separate from nearby concepts:
• AG Pro Bollinger Bands Squeeze Map
That script is an on-chart volatility regime map built to show how compression and release behave directly on price.
This script is different.
It is a dedicated lower-pane momentum-quality engine focused on what happens after compression begins to resolve.
• AG Pro ROC Momentum Shift Map
That script studies momentum regime transitions through ROC behavior.
It is a broader momentum-state classifier.
This script is narrower by design and specifically anchored to squeeze-release behavior.
• AG Pro Structural Momentum Oscillator
That script evaluates momentum through internal price structure and bar behavior.
This script does not try to read momentum that way.
Its purpose is to organize volatility compression and post-compression expansion into a squeeze-specific workflow.
That distinction is central to this release:
this is not a re-labeled overlap script.
It is a purpose-built squeeze momentum tool with its own logic, its own visual model, and its own analytical role.
🔷 HOW THE ENGINE WORKS
The script begins with a standard compression framework:
- Bollinger Bands define the volatility envelope.
- Keltner Channels define the containment envelope.
- When the Bollinger structure contracts inside the Keltner structure, squeeze conditions are present.
From there, the script moves into a separate momentum model.
Instead of relying on one traditional oscillator formula, the engine blends three components:
1. Displacement from equilibrium
Measures how far price has moved from its equilibrium anchor relative to ATR.
2. Equilibrium velocity
Measures whether that equilibrium is moving directionally and how quickly.
3. Path efficiency
Measures how efficiently price has traveled over the selected lookback instead of simply how far it moved.
Those three components are blended into a normalized momentum-pressure read, then smoothed for cleaner interpretation.
The script then builds two adaptive internal thresholds:
- a balance band
- a burst band
These dynamic bands help classify whether momentum is:
- quiet / balanced
- directional but ordinary
- strong enough to qualify as a burst
- elevated but beginning to fade
This adaptive structure matters because a fixed threshold often reads very differently across symbols, volatility regimes, and timeframes.
🔷 VISUAL DESIGN
The visual design is built around premium clarity rather than signal overload.
The pane includes:
• A momentum histogram with four directional states
- bullish expansion strengthening
- bullish pressure fading
- bearish expansion strengthening
- bearish pressure fading
• Adaptive upper and lower momentum zones
These show where momentum is operating in balance versus expansion territory.
• Squeeze markers on the zero line
These quickly show whether volatility is still compressed or has just released.
• Optional release boxes
These create rectangular burst zones that make active expansion phases easier to scan visually.
• Restrained release / fade labels
Labels are intentionally filtered and spaced so the chart remains informative without looking crowded.
• AG Pro information panel
The panel summarizes squeeze state, phase, bias, momentum, energy, and current signal context.
The goal is to keep the script visually rich, but still clean enough for repeated real-world use.
🔷 HOW TO READ IT
A practical way to interpret the script:
• Squeeze ON
Volatility is compressed.
This is preparation, not directional confirmation.
• Bull Burst / Bear Burst
Compression has released and momentum has cleared the adaptive balance zone with directional pressure.
This is the main transition event in the workflow.
• Bull Drive / Bear Drive
The market is still carrying directional pressure after release.
• Bull Fade / Bear Fade
Momentum remains elevated, but acceleration is cooling.
This does not automatically mean reversal.
It means the move is no longer improving in quality.
• Balance
The market is not in an active burst condition and momentum is closer to neutral internal behavior.
This makes the script useful not only for timing expansion, but also for judging whether that expansion is still healthy or beginning to lose structure.
🔷 WHO THIS MAY BE USEFUL FOR
This script may be useful for traders who want to:
- track volatility compression and release in a dedicated oscillator pane
- filter squeeze releases by actual momentum quality
- distinguish stronger directional expansion from weaker post-release drift
- pair volatility timing with structure, trend, VWAP, or support/resistance analysis
- reduce overreaction to every simple zero-line shift
- organize post-squeeze behavior more cleanly in discretionary workflows
It is especially suitable for users who like the squeeze concept, but want more context than a traditional dot-plus-histogram implementation.
🔷 KEY INPUTS
Core settings include:
- BB Length
- BB StdDev
- KC Length
- KC ATR Multiplier
- True Range toggle for Keltner construction
Momentum settings include:
- Equilibrium Length
- Velocity Length
- Momentum Smoothing
- Adaptive Band Length
- Burst Band Multiplier
Visual and workflow settings include:
- Adaptive momentum zones
- Signal line
- Histogram width
- Release boxes
- Release box persistence
- Label spacing
- Label size
- Panel position
- Theme
- Panel font size
This gives users enough control to adapt the script to different symbols and timeframes without turning the interface into a settings overload.
🔷 LIMITATIONS AND TRANSPARENCY
This indicator is a chart-analysis tool.
It is not a guarantee of breakout continuation, not a prediction engine, and not a substitute for trade planning or risk management.
A few important points should be kept in mind:
- A squeeze can resolve in either direction.
- A valid release can still fail.
- Strong momentum can cool without immediately reversing.
- Some instruments will produce noisier momentum behavior than others.
- Settings may need adjustment depending on timeframe, volatility regime, and instrument structure.
The script is best treated as a decision-support layer for reading volatility expansion and momentum quality more clearly.
It is not presented as a standalone trading system.
🔷 IN ONE SENTENCE
Squeeze Momentum Indicator is designed to show not only when volatility is ready to move, but whether the actual post-squeeze move is carrying enough directional pressure, quality, and persistence to deserve attention. Indicator
Volatility Shape Classifier [AGPro Series]Volatility Shape Classifier
🔹 Overview
Volatility Shape Classifier is a context and diagnostics tool that does not stop at telling you whether volatility is high or low. Instead it classifies the SHAPE of that volatility on every bar — Smooth, Chaotic, Choppy, Drift, or Dead — using three independent dimensions combined into a single regime read. The result is a continuous visual narrative made of a subtle background tint, throttled transition badges, and a compact metrics panel.
It is designed to sit on your chart as a pure awareness layer. It does not generate buy or sell signals and it is not a trading strategy.
🔷 Unique Edge
Most volatility tools compress the market into one axis — high vs low (ATR, Bollinger Band Width), or trend vs range (Choppiness Index, ADX). They answer half of the question.
This script asks three questions at once and fuses the answers:
1. Magnitude — is ATR above or below its own long baseline?
2. Smoothness — are bar-to-bar moves consistent in size, or erratic?
3. Directional Consistency — do bars point the same way, or cancel each other?
Only the combination of these three can distinguish a controlled trend run (Smooth) from a violent whipsaw (Chaotic) from a wide directionless thrash (Choppy) — all three of which can show identical ATR readings. That shape distinction is the core value this script adds, and it is the gap left by standard volatility and chop indicators.
🔶 Methodology
Engine layer (per bar):
• Volatility Level = ATR(volLen) / SMA(ATR, volLen * 3)
• Smoothness = StDev(|close − close |) / SMA(|close − close |) over volLen
• Direction = |sum(close − close )| / sum(|close − close |) over volLen
Classification layer maps the three readings into six mutually exclusive codes:
0 — Forming (warm-up / in-between space, no tint)
1 — Expansion · Smooth (high vol, low CV, directional)
2 — Expansion · Chaotic (high vol, high CV)
3 — Expansion · Choppy (high vol, low direction)
4 — Low-Vol · Drift (low vol, low CV, mild direction)
5 — Low-Vol · Dead (low vol, low CV, no direction)
Stability layer applies a configurable Confirmation Bars window so a new shape must persist for N consecutive bars before the chart commits to it. This prevents single-bar flicker. Between-state readings do not reset the current shape, they hold it — avoiding the classic "blink to neutral" problem of switch-based classifiers.
🔸 Signals & Alerts
Four alert conditions are published:
• Shape Shifted to Smooth Expansion
• Shape Shifted to Chaotic Expansion
• Shape Shifted to Choppy Expansion
• Shape Collapsed (any expansion state falling into low-vol Drift or Dead)
Alerts fire only on confirmed shape transitions and only on bar close, so repaint on the signal bar is not a concern.
🔹 Key Inputs
• Volatility Length — window for ATR, smoothness, and direction (default 20)
• Confirmation Bars — persistence requirement before committing to a new shape (default 3)
• Badge Cooldown — minimum bars between visible badges (default 15; tint updates continuously regardless)
• Panel Position / Size — six anchor points, four size presets
• Badge Font Size — four size presets
🔷 How to Use
• Use the SHAPE read as a setup filter, not as the signal itself. Smooth Expansion is where trend-following tools tend to perform well. Chaotic and Choppy Expansion are where they tend to fail even when the raw volatility reading looks attractive.
• The Drift state often precedes an expansion in the direction of the drift.
• The Dead state is a compression warning — a shape collapse alert from Expansion into Dead is a common precursor to a fresh expansion move in either direction.
• Pair with your own entry logic (structure, moving averages, volume). This tool answers "what kind of market am I in right now?" — it does not answer "where do I enter?"
🔶 Limitations & Transparency
• Thresholds (1.15x / 0.70x / 0.80 / 1.10 / 0.18) were tuned on crypto and FX data across 15m to 1D timeframes. Very illiquid instruments and very low timeframes (< 5m) may require a longer Volatility Length.
• Shape classification is inherently backward-looking (it reads the last volLen bars). It describes the character of recent volatility, not future volatility.
• The script is a context layer. It is not a strategy and should not be used in isolation for trade decisions.
• Past behavior of a shape does not guarantee future behavior.
🔸 Risk Disclosure
This indicator is an educational and analytical tool. It does not constitute financial advice, trade recommendations, or a signal service. All trading involves risk. You are solely responsible for your own trading decisions. Indicator
Dynamic Acceptance Channel [AGPro Series]Dynamic Acceptance Channel
🔷 Overview
Dynamic Acceptance Channel is an adaptive volatility channel that builds a dynamic upper and lower edge around a robust median midpoint. The channel width breathes with the market's own return distribution and volatility regime, so it naturally widens when the market expands and tightens when it compresses. Every bar is classified as Inside, Breaching, or Respecting the channel, while the width itself is independently tracked as Compressed, Normal, or Expanded. The tool is designed to give traders a clean, consistent framework for reading acceptance, mean-reversion context, volatility squeezes, and adaptive range behavior across crypto, FX, and equities.
🟢 Unique Edge
Most channel indicators on the market rely on a single dispersion model — typically a moving average plus a fixed standard deviation or ATR multiplier. Dynamic Acceptance Channel takes a different route:
▪ Robust median midpoint instead of a simple mean, which stays stable when the market wicks or spikes and is not dragged around by outliers.
▪ Hybrid width model that combines the percentile spread of recent returns with a clamped ATR regime ratio. The user can switch between Hybrid, Return Percentile, or Volatility Regime, depending on whether distribution shape or raw volatility is the priority.
▪ Independent width regime classification (Compressed / Normal / Expanded) ranked against the channel's own history, with hysteresis applied so the regime does not flip-flop around threshold boundaries.
▪ Bar-level state machine (Inside, Breach, Respect) separated from the width regime, so traders can read location and regime as two orthogonal dimensions.
▪ Double-EMA smoothing on both the midpoint and the half-width, producing a calm, professional channel that is readable on any timeframe without looking jagged.
This combination is not found in common Bollinger Bands, Keltner Channels, or generic ATR channels.
🧭 Methodology
The midpoint is computed as a rolling median using linear-interpolation percentile logic, which is statistically more robust than an arithmetic mean when the return distribution is skewed or heavy-tailed. The half-width is then derived from two independent signals. The first is a return-percentile dispersion term: the script measures the 85th and 15th percentiles of recent per-bar returns, symmetrizes them, and scales by the square root of the lookback window to produce a percentile-based half-width proxy. The second is a volatility regime term: the current 14-bar ATR is compared to its own baseline over the adaptive window, and the resulting ratio is clamped between 0.6 and 1.8 to prevent explosive widths during regime shocks. The final half-width is either one of the two terms or their average, depending on the selected model, then scaled by a user-defined global multiplier and smoothed with double EMA. The width regime classification uses linear-interpolation percentiles of the channel width itself over a separate regime lookback, and a 10% hysteresis buffer prevents rapid state flipping around the Compressed and Expanded thresholds.
🎯 Signals & Alerts
▪ Channel Breached — fires on a fresh upper or lower breach, edge-triggered with a minimum three-bar gap to avoid clusters on choppy bars.
▪ Channel Compressed — fires when the width regime transitions into the Compressed state.
▪ Channel Expanded — fires when the width regime transitions into the Expanded state.
▪ Channel Respected — optional, fires when price wicked outside on the prior bar and closed back inside on the current bar, confirming a rejection at the edge.
Visuals include color-coded upper and lower lines, a regime-tinted fill, small circular breach markers on the breached line (no text labels to avoid clutter), and spaced Compressed or Expanded transition labels anchored outside the channel.
⚙️ Key Inputs
Adaptive Engine
▪ Adaptive Length — lookback window for the channel (default 60).
▪ Channel Width Model — Hybrid, Return Percentile, or Volatility Regime.
▪ Width Scale — global multiplier for tightening or loosening the channel.
▪ Channel Smoothing — EMA length for line smoothness.
▪ Strict Breach Logic — close-based versus wick-based breach.
Width Regime
▪ Compression Threshold — percentile below which the width is Compressed (default 25).
▪ Expansion Threshold — percentile above which the width is Expanded (default 75).
▪ Regime Lookback — lookback for the width percentile ranking (default 150).
Visuals
▪ Show Channel Fill, Show Midline, Show Breach Markers, Show Regime Transition Labels, Regime Label Spacing.
Panel
▪ Show / hide panel, Panel Location (6 options), Panel Font Size, Label Font Size.
Alerts
▪ Channel Breached, Compressed, Expanded, and Respected can be toggled independently.
🧠 How to Use
A common reading is to combine channel state with width regime. When the channel is Compressed and price is riding the edges, the market is often preparing for an expansion phase. When the channel transitions into Expanded, continuation on the active edge is more likely than immediate mean reversion. Respect events at either edge during Normal or Compressed regimes often line up with fade opportunities, while breaches during Expanded regimes often line up with trend continuation context. The midline can be used as a dynamic fair-value reference for pullback entries inside the channel. Traders typically overlay this script with their own structure, momentum, or higher-timeframe bias tools rather than using channel events in isolation.
⚠️ Limitations & Transparency
▪ The indicator is a context and structure tool. It does not generate buy or sell decisions and does not claim to identify every meaningful reversal or breakout.
▪ The channel is recomputed each bar from recent data, which means the current bar's channel values can refine until bar close.
▪ Width regime classification is relative to the regime lookback, not absolute. On instruments or timeframes with very low variance, the regime may behave differently than on highly volatile markets.
▪ The ATR ratio is intentionally clamped between 0.6 and 1.8. This prevents explosive widths but also means the channel will not fully mirror extreme volatility shocks; this is a deliberate design choice for readability.
▪ Alerts are configured to fire once per bar close to reduce noise. Intrabar conditions may change until close.
🛡 Risk Disclosure
This script is provided for educational and analytical purposes only. It is not a strategy, not financial advice, and not a trade recommendation. Past channel behavior on any instrument or timeframe does not imply future performance. Users are fully responsible for their own risk management, position sizing, and trading decisions. Indicator
Volatility Terrain Engine [JOAT]
Volatility Terrain Engine
Introduction
Volatility Terrain Engine is a pane-based oscillator that measures the current volatility regime using the ratio between a fast ATR and a slow ATR, combined with a percentile rank of current volatility within a historical window. The indicator classifies every bar into one of three states — Expansion, Compression, or Transition — and identifies squeeze conditions (volatility compressing well below its average) and expansion bursts (volatility accelerating rapidly). The oscillator, centered at zero, makes it immediately clear whether volatility is expanding or contracting relative to its baseline.
Volatility regime is one of the most underappreciated dimensions of market analysis. A trend-following strategy applied during volatility compression produces poor results because the market is not moving directionally with sufficient energy. A mean-reversion strategy applied during volatility expansion gets stopped out repeatedly because the market is generating outsized moves. Identifying the current volatility terrain before applying any strategy is a prerequisite for selecting the appropriate approach.
Core Concepts
1. Fast/Slow ATR Ratio
The primary oscillator compares a short-period ATR (default 14) against a long-period ATR (default 100). Their ratio, centered at 1.0, is shifted to center at 0.0 by subtracting 1. Values above 0 mean recent volatility is expanding relative to the longer-term baseline; values below 0 mean it is contracting. This ratio is more informative than ATR alone because it provides context — the same ATR value means different things in a historically volatile versus historically calm market.
2. Percentile Rank
The ATR percentile rank answers: where does today's volatility sit within its historical distribution? A 90th percentile reading means volatility is higher than 90% of observations in the lookback period. This is used to classify whether the current environment is historically extreme or within normal parameters.
3. Squeeze and Expansion Burst Detection
A squeeze is defined as fast ATR falling below 82% of slow ATR and also below its own 20-bar average. This double condition filters single-bar dips. A squeeze represents stored energy — the market is coiling. An expansion burst is defined as the ATR ratio exceeding 1.25 with the fast ATR making successive higher values. This marks the initial stages of a volatility explosion.
4. Signal Line and Histogram
The oscillator is triple-processed: EMA of ratio → SMA signal → histogram. The histogram shows the divergence between the oscillator and its signal, providing a leading read on whether volatility momentum is building or fading.
Features
Volatility Regime Oscillator: Gradient-colored histogram bars centered at zero
Squeeze Detection: Dashboard alert and dot marker when squeeze conditions are active
Expansion Burst Markers: Dot markers when volatility breaks out from compression
ATR Percentile Band: Normalized ATR rank plotted as a secondary line
Zone Fills: Expansion and compression zones filled with transparent color
8-Row Dashboard: Regime, ATR values, ratio, percentile rank, squeeze status, oscillator values
Input Parameters
Fast ATR Period: Short-term volatility measurement (default: 14)
Slow ATR Period: Long-term volatility baseline (default: 100)
Percentile Lookback: Historical window for rank calculation (default: 252)
Signal Smoothing: Signal line period (default: 9)
Expansion, Compression, and Transition color inputs
How to Use This Indicator
Compression → Expansion Transition
The most significant signal is when a squeeze resolves into an expansion burst. This represents a volatility state change — the market has been coiling and is now releasing energy. The direction of that release is not predicted by this indicator; it must be determined using price structure and other context.
Oscillator Zero Cross
The oscillator crossing from negative to positive territory indicates that short-term volatility has exceeded the long-term baseline. This is not a trade signal — it is a condition indicator confirming that the market is entering a higher-energy phase.
High Percentile + Expansion
When the oscillator is in expansion territory and the ATR percentile rank is above 80, the market is experiencing historically significant volatility. Stops must be sized accordingly.
Limitations
ATR is backward-looking. Sudden volatility spikes from news events will appear in the oscillator only after those bars close
The squeeze condition uses fixed multipliers (0.82 for the ATR ratio threshold). Markets with different typical volatility profiles may require adjustments to these thresholds
The percentile lookback of 252 bars requires approximately one year of daily data or equivalent for the rank to be historically meaningful. On shorter data sets the rank will be computed on whatever bars are available but will be less statistically robust
This indicator classifies current conditions only. It does not predict when a squeeze will resolve or in which direction
Originality Statement
The dual-ATR ratio approach combined with percentile ranking provides more contextual information than either measure alone. The squeeze detection using a double condition (ratio below threshold and below its own moving average) produces more reliable squeeze identification than a single-condition approach. The four-state histogram coloring (expanding positive, fading positive, expanding negative, fading negative) provides more nuanced momentum information than standard positive/negative coloring.
Disclaimer
This indicator is for educational and informational purposes only. Volatility regime classification does not predict price direction. A squeeze does not guarantee a subsequent expansion, and the direction of any expansion is unknowable from volatility data alone. Always use appropriate risk management.
-Made with passion by officialjackofalltrades
Indicator
AG Pro Consolidation Breakout Quality [AGPro Series]AG Pro Consolidation Breakout Quality
Overview / What it does
AG Pro Consolidation Breakout Quality is an overlay tool designed to detect compression zones and evaluate the quality of the breakout that emerges from them. Instead of marking every simple range expansion, the script first looks for a valid consolidation structure, then measures how convincing the breakout is once price closes outside the box.
The core idea is straightforward: not every breakout from a tight range carries the same informational value. Some breaks occur with weak commitment, low participation, and immediate failure. Others show stronger intent through better candle structure, stronger relative volume, longer pre-break compression, and cleaner continuation behavior. This script is built to separate those conditions visually and systematically.
The indicator automatically identifies consolidation zones using a narrow-range logic relative to ATR. When a valid box forms, the structure is drawn on the chart. If price closes beyond the upper or lower edge of that box, the script registers a breakout or breakdown and assigns a quality score. A throwback event can also be tracked after the break, helping users distinguish cleaner expansions from breaks that immediately revisit the zone.
This makes the script useful for traders who want to monitor compression-to-expansion behavior in a structured way. It can be used to review developing ranges, compare breakout quality across instruments, and filter visual attention toward stronger or weaker breakout events without turning the chart into a cluttered signal feed.
Unique Edge
The differentiating idea behind this tool is that it does not treat consolidation and breakout as two unrelated events. It treats them as one sequence: compression, release, validation, and possible throwback. That sequence is then scored.
Many breakout tools only draw a box or mark the first candle that moves outside a recent range. This script adds a second layer by evaluating the break itself. Volume participation, the strength of the closing position, the duration of the consolidation, and the efficiency of the breakout candle all contribute to the final quality read. If price quickly throws back into the prior box, that weakness is also reflected.
This makes the script a natural sibling to AG Pro Break-Retest Quality, but it is not a duplicate. Break-Retest Quality focuses on retest behavior after a level break. Consolidation Breakout Quality begins one step earlier by focusing on the compression box itself, the first breakout from that structure, and the immediate integrity of that release. The emphasis here is the quality of expansion from consolidation, not the later retest workflow.
Methodology
1) Consolidation detection
The script scans for a sequence of relatively narrow bars. Narrowness is measured against ATR, so the detection logic adapts to the volatility environment of the symbol rather than relying on a fixed tick or percentage threshold. Once the required number of bars is reached, a consolidation box is formed from the local high-low range of that sequence.
2) Breakout / breakdown detection
A bullish breakout is registered when price closes above the upper boundary of the active consolidation box. A bearish breakdown is registered when price closes below the lower boundary. The breakout level is then projected forward visually so the user can continue tracking the structure after the event.
3) Quality scoring
The script assigns a 1 to 5 quality score using a weighted ruleset built around the breakout event:
- Base breakout occurrence
- Relative volume expansion compared with a volume moving average
- Strength of the close beyond the box boundary
- Duration of the consolidation before release
- Body efficiency of the breakout candle
4) Throwback context
After the breakout, the script can monitor whether price returns back into the broken consolidation box within a user-defined lookback window. This is treated as a sign of weaker follow-through and can be displayed directly on the chart for fast context reading.
5) Visual workflow
The chart uses a structured visual hierarchy:
- Consolidation box
- Breakout or breakdown label
- Throwback warning label
- Quality score card
- Breakout level projection
- Compact info panel
The goal is to keep the workflow readable while preserving enough structure for live chart use.
Signals & Alerts
The script can generate alerts for:
- Bullish breakout
- Bearish breakdown
- High-quality breakout conditions
- Elite-quality breakout conditions
- Throwback warning
- Any breakout event
This allows the tool to be used either as a visual chart companion or as part of a broader alert-driven workflow. Users who prefer stricter confirmation logic should configure alerts in a way that matches their execution style.
Key Inputs
Consolidation Settings
- Consolidation Length: number of bars required to form a valid consolidation
- ATR Multiplier: sensitivity threshold for narrow-range detection
- ATR Length: volatility lookback
- Max Zones to Display: keeps chart objects under control
Quality Scoring
- Volume Spike toggle
- Volume MA Length
- Volume Spike Multiplier
- Close Position scoring toggle
- Throwback monitoring toggle
- Throwback lookback length
Visual Settings
- Box color
- Bullish breakout color
- Bearish breakdown color
- Throwback color
- Box, level, score, arrow, and panel visibility
- Label size controls
Alerts
- Minimum score threshold for alert relevance
Limitations & Transparency
This script is a market-structure visualization and event-quality tool. It is not a prediction engine, and it does not claim that every high score will lead to continuation or that every low score will fail. The score is a structured summary of selected breakout characteristics, not a guarantee of outcome.
Consolidation detection depends on the selected ATR settings and bar count. Different symbols, sessions, and timeframes may require different parameter values. Users should expect the frequency and strictness of the boxes to change when those settings are adjusted.
Volume-based logic may be more informative on instruments and venues where reported volume is meaningful. On some markets, volume behavior can be less consistent, which may reduce the usefulness of the volume component.
Throwback detection is intended as context, not as a complete post-break trade management model. A throwback can represent weakness, but in some workflows it may also represent a later confirmation opportunity. The script leaves that interpretation to the user.
Risk Disclosure
This indicator is for chart analysis, structure review, and breakout context evaluation only. It does not provide financial advice, investment recommendations, or guaranteed trade outcomes. All trading and investing involve risk, including the risk of loss. Users should evaluate the tool on their own symbols, timeframes, and execution rules before relying on it in live decision-making.
Indicator
AG Pro ROC Momentum Shift Map [AGPro Series]AG Pro ROC Momentum Shift Map
Overview / What it does
AG Pro ROC Momentum Shift Map is a momentum-regime tool built around the Rate of Change (ROC) concept, but organized as a transition map rather than a standalone oscillator. Instead of treating ROC as a simple line that moves above or below zero, this script tracks how momentum shifts from one regime to another, whether that transition is strengthening or fading, and whether the current phase is fresh, mature, or beginning to stall.
The script is designed to help users read momentum behavior in a more structured way. It separates bullish and bearish momentum into shift and expansion phases, then adds context through transition-zone logic, baseline separation, freshness tracking, and exhaustion risk. This allows the chart to show not only direction, but also the condition of that direction.
This publication is not intended to forecast tops, bottoms, or future price movement. It is a context tool that organizes ROC behavior into states that may help users evaluate whether momentum is attempting to change character, continue, or lose efficiency.
Unique Edge
The main difference between this script and many ROC-based publications is that it does not present ROC as a raw crossing signal. It reframes ROC as a regime map with state logic, quality scoring, and momentum-stage classification.
Within the AG Pro series, this script also has a different purpose than the previously published tools. It is not a breakout-quality model, not a pullback validator, not a support/resistance reaction map, not a relative-strength rotation framework, and not a correlation-stress tool. Those scripts focus on structure, levels, cross-asset comparison, reclaim behavior, or directional pressure. This script focuses on internal momentum state transitions derived from ROC behavior itself.
More specifically:
- It differs from breakout or retest-oriented scripts because it does not judge price interaction with a key level.
- It differs from reaction-map scripts because it does not score how price behaves around predefined structures such as pivots, support/resistance, or moving-average reclaim zones.
- It differs from pressure or trend-strength tools because its goal is not to estimate directional force in isolation, but to classify whether momentum is transitioning, expanding, contracting, or stalling.
- It differs from relative-strength tools because it does not compare one symbol against another symbol or benchmark.
That distinction is the core of the script’s originality: it uses ROC to map momentum regime transitions, not merely to display momentum magnitude.
Methodology
The script begins with a Rate of Change calculation over a user-defined length and optionally smooths that series to reduce small fluctuations. A regime baseline is then derived from the ROC series to establish whether current momentum is operating above or below its local equilibrium.
A dynamic transition zone is built from ROC volatility. This zone is used to identify areas where momentum is attempting to move from one regime into another. Instead of using a rigid zero-line interpretation alone, the script evaluates whether ROC is operating inside or outside this transition area and whether slope supports the move.
The internal state engine classifies momentum into five main conditions:
- Bull Shift
- Bull Expansion
- Bear Shift
- Bear Expansion
- Neutral / Compression
To add structure beyond simple state assignment, the script estimates Shift Quality using a combination of zone positioning, slope behavior, separation from the regime baseline, and acceleration. A whipsaw-sensitive penalty reduces the score when repeated zero-line crossings suggest unstable momentum behavior.
The script also tracks how long the current state has been active. That information is used to classify the move as Fresh, Active, Mature, Stale, or Stalling. Expansion and contraction logic are then layered on top to provide a clearer view of whether momentum is broadening or fading. Finally, an exhaustion-risk estimate is derived from adverse slope, adverse acceleration, and contraction behavior against the current state.
Signals & Alerts
This script provides state-based informational events rather than trade promises. The built-in alert set is designed to mark notable momentum transitions in a deterministic way:
- Bull Shift Detected
- Bull Expansion Active
- Bear Shift Detected
- Bear Expansion Active
- Momentum Stalling
These alerts are best interpreted as momentum-context events. They are not guarantees of continuation, reversal, or trade outcome.
Key Inputs
Important inputs include:
- ROC Length: defines the main lookback used for Rate of Change.
- ROC Smoothing: reduces short-term noise in the raw ROC series.
- Regime Baseline Length: sets the local reference used for momentum separation.
- Transition Zone Length and Multiplier: control the width and sensitivity of the transition area.
- Quality Normalization Length: affects how the quality model normalizes slope and ROC magnitude.
- Whipsaw Lookback: influences how aggressively unstable zero-line rotation is penalized.
- Freshness thresholds: define how quickly a state progresses from fresh to mature or stale.
Users can also customize visual behavior such as histogram visibility, transition-zone display, background shading, labels, and panel presentation.
Limitations & Transparency
This script is an analytical indicator, not a prediction engine. ROC is a momentum derivative, so it can react quickly but can also become unstable in choppy or mean-reverting environments. During low-quality market conditions, momentum may rotate repeatedly around the transition zone and generate less reliable state changes.
Shift Quality is an internal scoring framework created to organize momentum transitions more clearly. It is not an objective universal measure of trade quality, and it should not be interpreted as proof of future performance.
Freshness, expansion, contraction, and exhaustion labels are contextual classifications based on the script’s internal logic. They are intended to help users structure momentum analysis, not to replace broader chart reading, trend assessment, market structure work, or risk management.
As with any indicator, outputs can vary depending on symbol characteristics, volatility regime, timeframe, and user settings. This script should be used as one analytical layer within a broader decision process.
Risk Disclosure
This indicator is for chart analysis and educational use. It does not provide investment advice, trading advice, or guaranteed results. Financial markets involve risk, and no indicator can ensure favorable outcomes. Users should evaluate the script in their own workflow, test settings carefully, and apply independent judgment before making trading decisions.
Indicator
AG Pro Bollinger Bands Squeeze Map [AGPro Series]AG Pro Bollinger Bands Squeeze Map
Overview
AG Pro Bollinger Bands Squeeze Map is a Bollinger-based compression and release mapping tool designed to show how volatility contracts, matures, expands, and sometimes fails directly on price.
Instead of reducing the entire process to a simple binary squeeze dot, this script organizes the behavior into a visual regime map. It tracks when compression is only beginning, when it becomes more meaningful, when it reaches deeper squeeze conditions, and when price transitions into a release phase. It also highlights failed releases and re-compression behavior, which can be useful when an expansion loses follow-through and the market slips back into a tighter volatility regime.
The goal of the script is not to predict the next move in advance, and it is not presented as a standalone trade system. Its purpose is to provide structured context around Bollinger Band compression so the user can evaluate whether the market is still coiling, already expanding, or losing expansion quality after an initial move.
This script is plotted directly on the chart and is built to remain readable without requiring a separate lower panel. The design prioritizes chart-first interpretation, moderate visual hierarchy, and state clarity.
Unique Edge
Many Bollinger squeeze tools stop at a yes/no condition or a single timing marker. This script takes a broader approach.
Its primary difference is that it treats squeeze behavior as a sequence of states rather than as a single event. That means the script does not only ask whether a squeeze exists. It also asks:
- Is compression only building, or is it already active?
- Has the squeeze become deep or mature?
- Did the first release show better or weaker expansion quality?
- Did the move fail and rotate back toward the basis?
- Is the market entering a re-compression phase after release?
This state-based mapping framework is the main distinction of the indicator. The intent is to help the user see volatility structure more clearly, rather than to provide a simplistic breakout label.
What the Script Does
The script combines Bollinger Band structure, normalized band width, width percentile logic, optional Keltner Channel confirmation, and release-state scoring into a single on-chart map.
In practice, the indicator can highlight:
- Building Compression
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
The result is a visual progression from contraction to expansion, with added context about the quality of that transition.
Methodology
1) Bollinger Band Structure
The script begins with a standard Bollinger Band framework built from a basis line and upper/lower deviations. This establishes the primary price envelope used throughout the tool.
2) Normalized Band Width
Raw band width is normalized relative to the basis so that compression can be assessed more consistently across changing price levels.
3) Width Percentile Regime Detection
The script evaluates current band width against a lookback window using percentile rank logic. This allows the user to frame current compression relative to recent history rather than relying only on absolute width values.
4) Optional Keltner Confirmation
An optional Keltner containment component can be used to strengthen squeeze filtering. Depending on the selected mode, the script can use percentile logic, Keltner logic, or a hybrid of both.
5) Compression State Classification
Compression is not handled as one flat condition. The script distinguishes between building compression, active squeeze, deep squeeze, and mature squeeze based on percentile thresholds and persistence.
6) Release Quality Scoring
When price exits a squeeze state, the script evaluates the release using a score that incorporates bar body behavior, close location, width expansion, distance from basis, and wick influence. The output is grouped into quality labels such as Weak, Clean, or Strong.
7) Failed Release Logic
A release is not automatically treated as durable. If the move loses structure and rotates back through the basis within the monitoring window, the script can classify that behavior as a failed release.
8) Re-Compression Detection
After release, markets do not always trend cleanly. Sometimes they compress again. The re-compression logic is included to identify this return into tighter volatility conditions.
Signals and Alerts
The script includes deterministic alert conditions tied to state transitions. These alerts are intended to notify the user when a specific structural condition appears on the chart.
Available alert categories include:
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
These alerts describe indicator states. They are not guarantees of continuation, reversal, or trade outcome.
Visual Design
The indicator is designed to work as an on-chart map rather than as a lower-pane oscillator.
The visual structure includes:
- Bollinger Bands
- Optional Keltner Channel
- Compression and release zone fills
- State labels
- Compact information panel
The zone rendering is intentionally state-weighted. More important states such as release, deeper squeeze regimes, and failure/re-compression conditions receive stronger visual emphasis, while lower-priority compression states can remain lighter to reduce chart clutter.
Key Inputs
The script includes adjustable controls for:
- Detection mode
- Bollinger Band length and multiplier
- Percentile lookback and thresholds
- Keltner Channel length and ATR multiplier
- Minimum bar requirements for deeper squeeze states
- Release persistence window
- Failure and re-compression windows
- Label size and offset
- Band and channel visibility
- Map intensity
- Theme selection
- Panel position and font size
These controls allow the user to adapt the script to different assets, volatility profiles, and charting preferences.
How to Interpret It
A practical way to read the script is to think in phases.
When the indicator shows Building Compression, volatility is tightening but may not yet be at a stronger squeeze threshold.
When the indicator shifts into Active, Deep, or Mature squeeze conditions, compression is becoming more statistically notable relative to the selected lookback.
When a release label appears, the script is identifying a transition out of compression. The associated quality label is meant to describe the character of that release, not to certify future follow-through.
If a failed release appears, the script is signaling that the initial expansion did not maintain structure within the observation window.
If re-compression appears, the market may be moving from expansion back into tighter volatility conditions.
This framework is often more useful for context and filtering than for isolated signal-chasing.
Use Cases
This tool may be useful for users who want to:
- study volatility contraction and expansion directly on price
- compare weaker and cleaner releases after squeeze conditions
- identify failed expansion behavior
- add context to existing discretionary workflows
- use squeeze structure as a filter rather than a complete decision engine
It can also be used alongside structure analysis, trend analysis, support/resistance mapping, or broader workflow-based chart review.
Limitations and Transparency
This script is a volatility-structure tool. It is not a prediction engine and does not forecast future price direction with certainty.
Several important limitations should be kept in mind:
- A squeeze can resolve in either direction.
- A strong-looking release can still fail.
- A failed release does not automatically imply a reversal trend.
- Different symbols and timeframes may require different threshold settings.
- Very noisy instruments may produce more frequent state changes.
Because of this, the script should be interpreted as a structured context layer rather than as a standalone execution model.
Open-source access does not remove the need for user judgment. Inputs still need to be reviewed and adjusted where appropriate for the instrument and timeframe being studied.
Risk Disclosure
This indicator is for chart analysis and educational use. It does not provide financial, investment, legal, or tax advice.
Any decision based on this script remains the responsibility of the user. Markets can behave unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and visual conditions in the context of their own methodology, time horizon, and risk framework. Indicator
Multi-TF Keltner Heatmap# Multi-TF Keltner Heatmap
A multi-timeframe volatility structure indicator designed to show where momentum pivots are forming across timeframes.
Instead of plotting a single Keltner Channel, this script overlays Keltner envelopes from 12 timeframes simultaneously, allowing traders to see when lower timeframe volatility begins pivoting relative to higher timeframe structure.
For options traders, these pivot points often represent the moments where momentum changes fastest while options are still relatively cheap.
The goal is to identify the earliest structural shift in volatility expansion before the larger move becomes obvious.
## Core Idea
Momentum rarely appears suddenly on higher timeframes.
Instead, it typically builds from smaller timeframes upward.
Lower timeframes begin expanding volatility until they interact with or surpass the volatility boundaries of larger timeframes.
When this occurs, the script identifies it as a pivot event.
A pivot means the shorter timeframe volatility envelope has reached or crossed the adjacent higher timeframe envelope, indicating that momentum pressure is shifting.
As these pivots propagate upward through the timeframe ladder, a momentum chain forms.
This chain represents how many layers of the market structure are currently shifting direction.
## Timeframes Included
The script pulls Keltner Channel data from the following timeframes:
- 1 Minute
- 3 Minute
- 5 Minute
- 10 Minute
- 15 Minute
- 30 Minute
- 45 Minute
- 1 Hour
- 2 Hour
- 4 Hour
- 1 Day
- 1 Week
These timeframes together create a stacked volatility structure showing how pressure builds through the market.
## Keltner Channel Construction
Each timeframe uses the same parameters.
Basis
EMA (default length: 200)
Volatility Envelope
ATR (default length: 200)
Bandwidth Multiplier
ATR × 8
These intentionally large settings create structural volatility envelopes rather than short-term reactive channels.
The focus is on major volatility shifts rather than micro fluctuations.
## Visual Structure
The indicator uses color to separate layers of the timeframe hierarchy.
### White Bands (1m – 15m)
These represent short-term market microstructure.
They allow traders to see:
- short-term compression
- micro volatility expansion
- early directional pressure
Opacity is reduced so these bands remain informational rather than dominant.
### Intermediate Layer (30m / 45m)
Upper bands are colored green.
Lower bands are colored red.
These timeframes often act as the bridge between intraday volatility and higher timeframe momentum.
When price begins interacting strongly with these bands, it often signals that pressure is building toward a larger pivot.
### Higher Timeframe Bands (1H – 1W)
Higher timeframe bands are hidden by default.
They only appear when a pivot condition occurs.
A pivot occurs when:
Shorter timeframe upper band ≥ adjacent higher timeframe upper band
or
Shorter timeframe lower band ≤ adjacent higher timeframe lower band
Example:
45m upper ≥ 1H upper
When this happens, the 1H upper band becomes visible.
This signals that short-term volatility is now interacting with higher timeframe structure.
## Pivot Chain
Momentum shifts are tracked using adjacent timeframe pivots.
Upper band pivots follow this sequence:
- 45m → 1H
- 1H → 2H
- 2H → 4H
- 4H → 1D
- 1D → 1W
Lower band pivots follow the same sequence.
This adjacency logic reflects how momentum realistically propagates through the market rather than skipping timeframes.
## Pivot Chain Depth
The indicator calculates two values shown in the status line and data window.
Bull Chain
Number of upward pivot steps currently active.
Example:
45m pivoting above 1H
1H pivoting above 2H
2H pivoting above 4H
Bull Chain = 3
Bear Chain
Number of downward pivot steps currently active.
Example:
45m pivoting below 1H
1H pivoting below 2H
2H pivoting below 4H
Bear Chain = 3
## Interpreting Chain Depth
Lower chain values typically indicate:
- localized volatility
- range conditions
- early momentum shifts
Higher chain values indicate:
- stronger structural alignment
- expanding volatility
- sustained directional momentum
Deep pivot chains are relatively rare and often occur during:
- breakouts
- strong trend continuation
- macro directional moves
## Why This Matters for Options
Options traders benefit most when they can identify large momentum shifts early, before volatility expansion fully develops.
When lower timeframes begin pivoting relative to higher timeframe envelopes, it often means:
- directional pressure is building
- volatility expansion may follow
- option pricing has not fully reacted yet
This creates the opportunity to enter positions before volatility and delta expansion make contracts expensive.
## Practical Uses
This indicator can help traders:
- identify early momentum pivots
- visualize multi-timeframe volatility alignment
- detect volatility expansion before breakouts
- confirm trend continuation across timeframes
It is particularly useful when looking for high momentum opportunities while options remain relatively inexpensive.
## Conceptual Summary
Momentum builds from smaller timeframes upward.
When lower timeframe volatility begins interacting with and pivoting against larger timeframe envelopes, the market is often entering a structural shift phase.
This indicator visualizes that process so traders can see momentum transitions while they are still forming. Indicator
Indicator
Indicator
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions. Indicator
Expanded Cloud [LuxAlgo]The Expanded Cloud tool allows traders to identify and follow trends accurately. It is based on the well-known Donchian Channels, but with enhanced features.
It features a trailing cloud that expands with the price and a trading stats dashboard.
🔶 USAGE
The tool is super easy to use. Traders can identify bigger or smaller trends just by adjusting the length from the settings panel.
Trend identification is based on Donchian Channels. An uptrend is indicated when the cloud is located below the price, while a downtrend is indicated when the cloud is above it.
Dots signal the start of a new trend, and the width of the clouds identifies the strength of the price expansion. The wider the cloud, the bigger the move.
The expanded cloud, due to its visual, can also act as a trailing stop.
🔹 Trend Identification
As we can see in the chart above, different length values identify different trends on the same BTC daily chart. Larger values identify larger trends.
🔹 Cloud Expansion
From the settings panel, traders can adjust how the clouds expand based on the Expansion % parameter. It accepts values from 0 to 100, which controls how much of the expansion is taken into account. Higher values will make the cloud expand and get closer to the price faster.
When the cloud moves opposite to the direction of the indicated trend (e.g: the cloud decreases while being below the price), it is often indicative of the end of a retracement, and we can expect the price to move with the indicated trend.
The chart above shows the effect of different Expansion % values.
🔹 Dashboard
The trading statistics dashboard informs traders of key metrics derived from the tool. The following are notable:
PNL: Theoretical profit or loss from all trends identified by the tool in the right scale units.
EXPECT.: Expected value of each trade. It is derived from win rate and risk-to-reward metrics.
AVG: 1st TOUCH: The average number of bars from the beginning of a new trend until the price touches the cloud for the first time.
🔶 SETTINGS
Length: Length for trend detection
Expansion %: Percentage of price expansion for cloud formation
Source: Source of the data
🔹 Dashboard
Show Dashboard: Enable/disable the statistics dashboard
Location: Dashboard location
Size: Dashboard size
Indicator
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose. Indicator
Candlestick DataCandlestick Data Indicator
The Candlestick Data indicator provides a comprehensive overview of key metrics for analyzing price action and volume in real-time. This overlay indicator displays essential candlestick data and calculations directly on your chart, offering an all-in-one toolkit for traders seeking in-depth insights.
Key Features:
Price Metrics: View the daily high, low, close, and percentage change.
Volume Insights: Analyze volume, relative volume, and volume buzz for breakout or consolidation signals.
Range Analysis: Includes closing range, distance from low of day (LoD), and percentage change in daily range expansion.
Advanced Metrics: Calculate ADR% (Average Daily Range %), ATR (Average True Range), and % from 52-week high.
Moving Averages: Supports up to four customizable moving averages (EMA or SMA) with distance from price.
Market Context: Displays the sector and industry group for the asset.
This indicator is fully customizable, allowing you to toggle on or off specific metrics to suit your trading style. Designed for active traders, it brings critical data to your fingertips, streamlining decision-making and enhancing analysis.
Perfect for momentum, swing, and day traders looking to gain a data-driven edge! Indicator
Exponential Grid [Phi, Pi, Euler]If you disagree with one of the EMH principles that price is too random, then by definition you must agree that historic price has deterministic function to a scenario ahead.
I personally believe that constants like phi, pi and e can mimic exponential growth of the price.
In this script, first grid is based on the Lowest price multiplied with self fraction of the constant.
For example:
If you are familiar with fib ratio 1.272, then you must know that it is 1.618 to the power of 0.5.
With default settings of exponent step 0.25
First grid = Lowest price x phi^0.25
Second grid = Lowest price x phi^0.25x2
Third grid = Lowest price x phi^0.25x3 and so on
The script will automatically find the lowest price and update the grid values.
Or you can set up your custom Lowest price manually if you feel like the All Time Low level loses its relevance value after long period.
There are 64 grids including Lowest price level. And it wasn't by a chance. Pine Script has a limitation of max 64 plots. Number of grids shown in the chart depends on the highest price. Once price breaks above ATH a couple of next grids will be plotted automatically. In most cases if everything is plotted, the chart appears squeezed and you'll need to zoom in to see it. Therefore, I adjusted it relatively to the scale of the chart for the comfort.
In some cases 64 plots aren't enough to cover the whole chart. For example, let's take a look at NVIDIA chart:
Since the price has started with 0.0333, it is way too small to cover all with default settings.
We are left with 2 choices:
Either Enable "Round"
OR increase Exponent Step (from 0.25 to 0.5 in the particular example below)
If you set constant to pi or e which is a bigger number than phi, expect the gaps to be bigger. To reduce it to a more gradual way of expansion you can decrease Exponent Step.
Indicator
ICT Macros [LuxAlgo]The ICT Macros indicator aims to highlight & classify ICT Macros, which are time intervals where algorithmic trading takes place to interact with existing liquidity or to create new liquidity.
🔶 SETTINGS
🔹 Macros
Macro Time options (such as '09:50 AM 10:10'): Enable specific macro display.
Top Line , Mid Line , Bottom Line and Extending Lines options: Controls the lines for the specific macro.
🔹 Macro Classification
Length : A length to detect Market Structure Brakes and classify macro type based on detection.
Swing Area : Swing or Liquidity Area selection, highest/lowest of the wick or the candle bodies.
Accumulation , Manipulation and Expansion color options for the classified macros.
🔹 Others
Macro Texts : Controls both the size and the visibility of the macro text.
Alert Macro Times in Advance (Minutes) : This option will plot a vertical line presenting the start of the next macro time. The line will not appear all the time, but it will be there based on remaining minutes specified in the option.
Daylight Saving Time (DST) : Adjust time appropriate to Daylight Saving Time of the specific region.
🔶 USAGE
A macro is a way to automate a task or procedure which you perform on a regular basis.
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
To trade these effectively, it is important to understand the time of day when certain macros come into play, and it is strongly advised to introduce the concept of liquidity in your analysis.
Macros can be classified into three categories where the Macro classification is calculated based on the Market Structure prior to macro and the Market Structure during the macro duration:
Manipulation Macro
Manipulation macros are characterized by liquidity being swept both on the buyside and sellside.
Expansion Macro
Expansion macros are characterized by liquidity being swept only on the buyside or sellside. Prices within these macros are highly correlated with the overall trend.
Accumulation Macro
Accumulation macros are characterized by an accumulation of liquidity. Prices within these macros tend to range.
The script returns the maximum/minimum price values reached during the macro interval alongside the average between the maximum/minimum and extends them until a new macro starts. These levels can act as supports and resistances.
🔶 DETAILS
All required data for the macro detection and classification is retrieved using 1 minute data sets, this includes candles as well as pivot/swing highs and lows. This approach guarantees the visually presented objects are same (same highs/lows) on higher timeframes as well as the macro classification remain same as it is in 1 min charts.
8 Macros can be displayed by the script (4 are enabled by default):
02:33 AM 03:00 London Macro
04:03 AM 04:30 London Macro
08:50 AM 09:10 New York Macro
09:50 AM 10:10 New York Macro
10:50 AM 11:10 New York Macro
11:50 AM 12:10 New York Launch Macro
13:10 PM 13:40 New York Macro
15:15 PM 15:45 New York Macro
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in advance of the next Macro time, where the value specified in 'Alert Macro Times in Advance (Minutes)' option indicates how early to be notified.
🔶 LIMITATIONS
The script is supported on 1 min, 3 mins and 5 mins charts.
🔶 RELATED SCRIPTS
Indicator
Volume Channel - [With Volume Filter]The indicator calculates two volume-weighted moving averages (VWMA) using different lengths, and filters them based on a moving average of volume. The filtered VWMA values are then plotted on the chart as lines, representing the fast and slow moving averages. In addition, upper and lower bands are calculated based on the slow VWMA and plotted as lines on the chart.
The fast and slow VWMA lines can be used to identify trends in the market. When the fast VWMA is above the slow VWMA, it is an indication of an uptrend, and when the fast VWMA is below the slow VWMA, it is an indication of a downtrend. The position of the VWMA lines relative to the upper and lower bands can also be used to identify potential trade signals.
When the price is near the upper band, it indicates that the market is overbought, and when the price is near the lower band, it indicates that the market is oversold. Traders can use these signals to enter or exit trades.
The indicator also includes a volume filter, which means that the VWMA values are only calculated when the volume is above a certain moving average of volume. This helps to filter out noise in the market and provide more accurate signals.
Explanation for each parameter
vwmaLength1: This is the length of the fast volume-weighted moving average (VWMA) used in the calculation. The default value is 10, and it can be adjusted by the user.
vwmaLength2: This is the length of the slow volume-weighted moving average (VWMA) used in the calculation. The default value is 25, and it can be adjusted by the user.
bandLength: This is the length of the moving average used to calculate the upper and lower bands. The default value is 34, and it is not adjustable by the user.
volumeFilterLength: This is the length of the moving average of volume used as a filter for the VWMA calculation. The default value is 5, and it can be adjusted by the user.
src: This is the input source for the VWMA calculation. The default value is close, which means the indicator is using the closing price of each bar. However, the user can select a different input source by changing this parameter.
filteredVwma1: This is the filtered VWMA calculated based on the volume filter and the fast VWMA length. It is plotted as a line on the chart and can be used to identify short-term trends.
filteredVwma2: This is the filtered VWMA calculated based on the volume filter and the slow VWMA length. It is plotted as a line on the chart and can be used to identify long-term trends.
ma: This is the moving average of the filtered slow VWMA values, which is used to calculate the upper and lower bands. It is plotted as a line on the chart.
offs: This is the offset used to calculate the upper and lower bands. It is based on the standard deviation of the filtered slow VWMA values and is multiplied by 1.6185 * 3. It is plotted as a line on the chart.
up: This is the upper band calculated as the moving average plus the offset. It is plotted as a line on the chart and can be used to identify overbought conditions.
dn: This is the lower band calculated as the moving average minus the offset. It is plotted as a line on the chart and can be used to identify oversold conditions.
Indicator
Matrix Momentum Expansion [IkkeOmar]The indicator consists of several features:
Candlestick chart: The indicator plots a candlestick chart based on the input parameters of the user. The candlesticks are colored blue or orange depending on whether the closing price is above or below the upper and lower bands.
Support and Resistance levels: The indicator also plots support and resistance levels based on the CCI (Commodity Channel Index) of the asset's price. These levels are dynamic and change based on the user's input parameters.
Momentum: The indicator calculates the momentum of the market based on the smoothed and standard deviation of the asset's price. It uses this momentum to calculate upper and lower bands that are plotted on the chart.
Warning signals: The indicator can also be used to identify potential warning signals. When the closing price of the asset moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, when the closing price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Contractions and expansions in the bands can provide important information to traders about potential price movements.
When the bands contract, it indicates that the market is experiencing low volatility and the price is likely to move sideways. During these periods, traders may look for other signals, such as support and resistance levels or price patterns, to determine potential entry and exit points.
On the other hand, when the bands expand, it indicates that the market is experiencing high volatility and the price is likely to move in a particular direction. Traders can use this information to identify potential trend reversals or continuation patterns. When the upper and lower bands move further apart, it indicates that the trend is becoming stronger, while when they move closer together, it indicates that the trend may be weakening.
When the price moves outside of the bands, it can also provide important information to traders. If the price moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, if the price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Very important note!
When you see contractions, please understand that it's a wonderful opportunity to pivot into position to catch a good trade because we will see an expansion after! Indicator
Indicator
Expansion Finder by nnamWhat this Indicator Does
This indicator helps the trader locate expansion and contraction areas in an easy visual way.
When the asset moves from a contraction phase into an expansion phase, the bars change color (customizable). This allows the trader to recognize areas of contraction and avoid trading them. Once a Bar Range moves outside of the average range as specified by the user, the bar will change color informing the trader that the current bar and by default the market, is moving into an expansion phase from a contraction phase.
The indicator works well for those traders that use the Forex Master Pattern to locate Value Lines and Value Areas on the chart giving them an opportunity to draw in these areas with ease.
As shown in the screenshot below, the boxes are manually drawn after the trader locates an easily identifiable area of contraction.
The Indicator makes it easy to find longer areas of contraction and ignore the noise of smaller contractions.
Customizable Settings allow the trader to define the lookback range that determines the number of bars to base the average.
A "multiplier" setting allows the trader to easily adjust the Average by changing the average using a simple calculation.
Example, if the average multiplier is set to "1", the average will be used.
Using the standard average is not always the best way to define these contractions, so traders can set the average to a higher or lower number by using the multiplier, thus changing the calculation but maintaining a consistent number across the chart.
Example: If the average is not plotting the contraction correctly, the trader can manually adjust the multiplier down to 0.5 thus adjusting the average in half or increase the multiplier to 2 thus doubling the average.
As seen in the screenshot below, this changes the number of expansion bars visible on the chart.
Below you can see Value Areas and Value Lines drawn in. These lines assist the trader in defining important levels for future trading.
I hope this Indicator helps you locate value areas and value lines on charts in an easy way.
Any questions or concerns or suggestions, please do not hesitate to reach out.
Happy Trading !!!!
Indicator
Indicator
[CBB] Volatility Squeeze ToyThe main concept and features of this script are adapted from Mark Whistler's book "Volatility Illuminated". I have deviated from the use cases and strategies presented in the book, but the 3 Bollinger Bands use his optimized settings as the default length and standard deviation multiplier. Further insights into Mark's concepts and volatility research were gained by reading and watching some of TV user DadShark's materials (www.pulsewire.com).
This script has been through many refinements and feature cycles, and I've added unrelated complimentary features not present in the book. The indicator is better studied than described, and unless you have read the book, any short summary of the material will just make you squint and think about the wrong things.
Here is a limited outline of features and concepts:
1. 3 Bollinger Bands of different length and/or deviation multiplier. Perhaps think of them as representing the various time frames that compression and expansion cycles and events manifest in, and also the expression of range, speed and price distribution within those time frames. You can gain insight into the magnitude of events based on how the three bands interact and stay contained, or not. If volatility is significant enough, all "time frames" represented by the bands will eventually record the event and subsequent price action, but the early signals will come from the spasms of the shortest, most volatile band. Many times the short band will contract again before, or just as it reaches a longer band, but in extreme cases, volatility will explode and all bands at all time frames will erupt in succession. In these cases you will see additional color representing shorter bands (lower time frame volatility in concept) traveling outside of longer bands. It is worth taking a look at the price levels and candles where these volatility bands cross each other.
2. In addition to the mean of the bands, there are a variety of other moving averages available to gauge trend, range, and areas of interest. This is accomplished with variable VWAP, ATR, smoothing, and a special derived loosely from the difference between them.
3. The bands are also used to derive conditions under which volatility is considered compressed, or in "squeeze" . Under these conditions the candles will turn yellow. Depending on your chart settings and indicator settings, these zones can be completely useless or drag on through fairly significant price action. Or, the can give you fantastic levels to watch for breakouts. The point is that volatility is compressed during these conditions, and you should expect the inevitable once this condition ends. Sometimes you can find yourself in a nice fat trend straight away, other times you may blow an account because you gorged your position based on arbitrary bar color. It's not like that. Pay attention to the highest and lowest bars of these squeeze ranges, and carefully observe future price action when it returns to these squeeze ranges. This info is more and more valuable at higher time frames.
The 3 bands, a smoothed long trend VWAP, and the squeeze condition colored bars are all active by default. All features can be shown or hidden on the control panel.
There are some deep market insights to mine if you live with this one for a while. As with any indicator, blunt "buy/sell here" approaches will lead to loss and frustration. however , if you pay attention to squeeze range, band/moving average confluence, high volume and/or large range candles their open/close behavior around these areas and squeeze ranges, you will start to catch the beginning of some powerful momentum moves.
Enjoy! Indicator
