Prior Close Reclaim Planner [AGPro Series]Prior Close Reclaim Planner
🧠 Core Idea
Is the prior close being reclaimed, rejected, or treated as a live magnet by the current market?
📌 Overview / What it does
Prior Close Reclaim Planner maps the completed prior close as a live support/resistance reference and evaluates how price reacts around that level.
The script displays a prior-close rail, an ATR-based reclaim pocket, reclaim labels, rejection labels, magnet-zone labels, right-side reference tags, and a compact AG Pro dashboard with a 0-100 reclaim score.
It does not predict where price will go next. It helps organize the reaction around the previous close: reclaim quality, rejection pressure, magnet risk, rail state, and action context.
🎯 Purpose & Design Philosophy
The previous close is one of the simplest reference levels on a chart, but it is often read too casually.
This script was built to turn that reference into a structured planning map. It helps traders see whether the prior close is acting as support, resistance, a magnet, or a failed reclaim zone.
The design supports a patient decision-support mindset: read the rail, evaluate the reaction, check the score, and place the output inside broader market context.
⚡ Why This Script Is Different
Most tools draw a prior close line and stop there.
This script does NOT treat the prior close as a passive horizontal level.
Instead, it builds an active reclaim planner with a pocket, reaction labels, magnet context, relative-volume support, volatility fit, a readiness score, and a clear action state.
⚙️ Methodology
1. Prior Close Detection
The script sources the completed prior close from the selected reference timeframe. Daily is the default setting for previous-session analysis.
2. Reclaim Pocket Mapping
An ATR-based pocket is created above and below the prior close. This pocket is used to avoid overreacting to tiny ticks around the rail.
3. Reaction Evaluation
The script evaluates close location, wick response, relative volume, distance from the rail, and volatility fit.
4. Visual Output
The chart receives the rail, pocket, labels, right-side tags, bar coloring if enabled, and a dashboard panel summarizing the current state.
🗺️ How to Read the Chart
The central rail shows the completed prior close.
The pocket around the rail shows where reclaim and rejection behavior is evaluated.
Labels highlight bullish reclaim, bearish reclaim, rail defense, rail rejection, magnet-zone entries, and failed reclaim behavior.
Colors represent context:
• Teal → bullish reclaim or defense
• Pink → bearish reclaim or rejection
• Gold → neutral or waiting context
• Indigo → magnet or monitoring context
The panel summarizes:
• Prior Close
• Reclaim Score
• Magnet Risk
• Rail State
• Action
🚦 Signals & States
• Bull Prior Close Reclaim → price closed above the reclaim pocket
• Bear Prior Close Reclaim → price closed below the reclaim pocket
• Rail Defense → price tested the pocket and closed back above it
• Rail Rejection → price tested the pocket and closed back below it
• Magnet Zone → price is close enough to the prior close to treat the rail as active
• Invalidated → a reclaim attempt failed back through the prior-close rail
• READY → reclaim/rejection quality is strong enough to monitor
• MONITOR → price is near the rail, but conditions are not fully ready
• WAIT → no strong prior-close reaction is active
🔔 Alerts Logic
Alerts can trigger when price reclaims the prior close pocket, rejects the pocket, enters the magnet zone, reaches READY conditions, or invalidates a reclaim attempt.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The prior-close context becomes stronger when close location, wick response, relative volume, volatility fit, and distance from the rail align.
For example, a reclaim with strong close quality, acceptable volume, and controlled distance from the rail is more structured than a weak close far from the reference.
📊 When to Use
• Intraday trading around the previous session close
• Session reclaim or rejection analysis
• Support/resistance reaction planning
• Trending markets that retest the prior close
• Range conditions where the prior close acts as a magnet
• Liquid symbols with readable candles and stable spreads
⚠️ When NOT to Use
• Very low-liquidity markets
• Symbols with unreliable session structure
• Extremely noisy chop around the rail
• News candles with unstable spreads
• Markets where the selected reference timeframe is not meaningful
🎛️ Key Inputs
• Reference Timeframe → controls where the completed prior close comes from
• Reclaim Pocket ATR → controls the width of the reaction pocket around the rail
• Magnet Distance ATR → controls when price is treated as close enough to the rail
• Minimum Ready Score → controls the score required for READY state
• Relative Volume Length → controls participation comparison
• Confirmation Mode → controls how strict reclaim/rejection evaluation should be
• Visual settings → control rails, pockets, labels, tags, bar colors, and dashboard behavior
🖥️ Interface & Visual Design
The interface is built for fast chart reading.
The prior close rail creates the main reference, the pocket defines the active reaction area, labels mark important events, and the panel compresses the state into a clean decision-support dashboard.
The goal is a premium, readable chart without turning the prior close into a cluttered signal board.
🧪 Practical Usage Workflow
1. Read the panel action state
2. Check whether price is above, below, or inside the prior-close pocket
3. Evaluate reclaim or rejection labels
4. Compare score quality with magnet risk
5. Confirm the context with broader structure, volume, and timeframe alignment
🔍 Interpretation Guidelines
A READY state means the prior-close reaction has enough structure to monitor.
Magnet risk means price is still close enough to the rail for the prior close to matter.
A reclaim label means the market crossed beyond the pocket, not that continuation is guaranteed.
A rejection or defense label means price reacted at the rail, but the broader trend and volatility context still matter.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a guaranteed prior-close trading system.
It is not an automated trading tool.
It does not provide financial advice.
It does not guarantee continuation, reversal, profit, or a specific target.
⚠️ Limitations & Transparency
Prior-close behavior depends on market structure, volatility, liquidity, session design, and timeframe.
Different symbols may treat the previous close differently.
Very noisy markets can trigger frequent pocket interactions.
The score is a rule-based context score, not a certainty model.
🧠 Market Context Notes
The prior close often acts as a memory level.
When price reclaims it with participation, the rail may become a useful support/resistance reference.
When price repeatedly returns to it without follow-through, the rail may behave more like a magnet than a directional level.
🧾 Use Case Examples
When price opens below the prior close and later reclaims the pocket, the script marks the reclaim and scores the quality of the reaction.
When price tests the prior close from above and closes back above the pocket, the script can mark rail defense.
When price stays close to the rail without clean displacement, the panel can shift toward MONITOR instead of forcing a directional read.
🧱 System Philosophy
This script follows the AGPro Series approach: turn a familiar chart reference into a structured decision-support map.
The focus is not prediction. The focus is context, quality, invalidation awareness, and visual clarity.
🔐 Non-Promise Statement
No script can remove uncertainty from markets.
This tool does not promise accuracy, profitability, or future price movement.
Its purpose is to organize prior-close context so the user can interpret the chart more clearly.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly, and any analytical output can fail.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use the prior close as a reference, not as an automatic decision.
The best reads usually come when the rail reaction aligns with structure, liquidity, volume, and the broader market environment.
Indicator
Opening Range Retest Planner [AGPro Series]# Opening Range Retest Planner
## Core Idea
Did the opening range breakout return to its boundary and hold with enough quality to deserve attention?
## Overview / What It Does
Opening Range Retest Planner is an intraday opening range decision-support script built for traders who want to evaluate the quality of the first meaningful retest after an opening range breakout.
The script builds the opening range, tracks the first bullish or bearish breakout, maps a focused retest pocket around the broken boundary, grades the retest from 0 to 100, and displays a clear action state in a compact AG Pro panel.
It does not predict price direction, automate execution, or provide guaranteed outcomes. Its purpose is to organize structure, acceptance, invalidation, and retest quality in a clean visual workflow.
## Purpose & Design Philosophy
Many opening range tools focus only on the initial break. In practice, the first retest after the break is often where the structure becomes more meaningful.
This script was built for traders who want to separate a clean retest hold from a weak pullback, failed breakout, or expired setup. The design supports structured observation instead of impulsive reaction.
## Why This Script Is Different
Most opening range tools stop at the range or breakout itself.
This script does not stop there.
Instead, it focuses on what happens after the break: whether price returns to the broken boundary, respects it, fails back inside the range, or runs out of time before a qualified retest appears.
## Methodology
1. Opening Range Mapping
2. Breakout Detection
3. Retest Pocket Construction
4. Retest Quality Scoring
5. Acceptance, Invalidation, or Expiration State
6. Panel and Alert Output
## How To Read The Chart
The opening range remains the main session reference.
The retest pocket marks the area where the script evaluates whether the broken boundary is being respected or rejected.
Labels highlight qualified retests, invalidations, and key state changes.
Target rails project possible continuation space after a qualified retest.
The panel summarizes OR state, retest score, acceptance side, failure risk, and current action.
## Signals & States
READY -> A retest touched the pocket, held the broken boundary, and met the minimum quality threshold.
MONITOR -> A breakout occurred and the script is tracking whether a qualified retest develops.
WAIT -> The opening range is still building, has just locked, or is waiting for a valid post-break condition.
INVALIDATED -> Price failed back inside the opening range after the breakout.
EXPIRED -> The retest window closed without a qualified retest.
BLOCKED -> The opening range is not valid enough to evaluate.
## Alerts Logic
Bullish Opening Range Retest Ready triggers when a bullish breakout retest holds the broken range high with enough score.
Bearish Opening Range Retest Ready triggers when a bearish breakout retest holds the broken range low with enough score.
Opening Range Retest Invalidated triggers when price fails back inside the opening range after a breakout.
Opening Range Retest Expired triggers when the retest window expires without a qualified hold.
Alerts are attention markers, not trade instructions.
## Confluence Logic
The retest score combines pocket touch quality, close response, retest timing, relative volume, opening range volatility fit, and available target room.
When these conditions align, the context becomes stronger. When they do not align, the panel remains in MONITOR, WAIT, INVALIDATED, or EXPIRED state.
## When To Use
This script is most useful in liquid intraday markets where the opening range matters and session structure is clear.
It fits breakout-retest workflows, opening drive continuation, failed breakout monitoring, and structured intraday planning.
## When NOT To Use
Avoid relying on this script in very low-liquidity symbols, extremely noisy sessions, holiday trading, or chart conditions where the opening range session cannot be represented cleanly.
## Key Inputs
Opening Range Mode controls whether the script uses an exact session window or the first chart bars of each day.
Auto mode uses session-window logic on lower intraday charts and switches to first-bars-of-day logic on higher timeframes.
Retest Pocket ATR controls the depth of the retest zone around the broken boundary.
Minimum Ready Score controls how strong the 0-100 retest score must be before READY appears.
Panel and label controls let users adjust position, theme, and visual density.
## Interface & Visual Design
The visual design is chart-first.
The opening range stays readable, the active retest pocket becomes the focus area, and the panel provides compact decision context without covering the whole chart.
The first panel row uses the AG Pro blue header style and shows only the script name.
## Practical Usage Workflow
1. Wait for the opening range to lock.
2. Watch for a breakout beyond the range boundary.
3. Observe whether price returns to the retest pocket.
4. Check the retest score and action state.
5. Treat alerts as attention markers and confirm context with your broader process.
## What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not guarantee outcomes.
It does not replace independent risk management or market context.
## Limitations & Transparency
Opening range behavior changes across markets, sessions, liquidity conditions, and timeframes.
The score is rule-based and depends on the configured session, ATR normalization, volume behavior, and retest window.
Different chart timeframes may display session structure differently.
## Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions.
This script is for educational and analytical purposes only and does not provide financial advice or guaranteed trading outcomes.
Indicator
Parallax Regime Lattice [JOAT]Parallax Regime Lattice
Introduction
Parallax Regime Lattice is an open-source market-state overlay built to classify whether price is operating in directional expansion, transitional behavior, chop, or compression. It combines structure events, liquidity sweeps, absorption behavior, EMA alignment, ADX, and choppiness into one continuous regime and confluence model.
The problem Parallax solves is fragmented context. Structure, liquidity, and regime are often analyzed with separate scripts, which makes it difficult to see when they actually agree. Parallax consolidates those layers into one chart model so the user can evaluate bias, confluence, and nearby structural risk from a single panel.
Core Concepts
1. Structure State
The script tracks confirmed swing highs and swing lows and classifies directional breaks as the current structural state. This forms the backbone of the regime engine.
2. Liquidity Level Registry
Confirmed pivot highs and lows are registered as buy-side and sell-side liquidity references, extended forward, and marked when swept.
3. Absorption Zones
High-volume, low-body candles are used to identify localized demand or supply absorption areas, which are preserved as forward boxes for as long as they remain relevant.
4. Chop and Compression Filters
ADX, choppiness, and compression ratio work together to determine whether the market is expanding, compressing, or structurally noisy.
5. Confluence Score
Trend direction, structure, liquidity behavior, slope, and expansion quality are combined into one confluence score that is graded directly in the dashboard.
Features
Structure classification: BOS and regime-state handling from confirmed swing breaks
Liquidity sweep tracking: Buy-side and sell-side levels retained and marked when swept
Absorption zones: High-volume low-body candles create forward supply or demand boxes
Compression box: Compression is visualized directly on the chart when range conditions dominate
Confluence heat: Optional background heat reflects directional agreement strength
EMA ribbon: Fast, intermediate, and structural composites define directional geometry
Institutional dashboard: Bias, regime, ADX/chop, structure, confluence, sweep status, nearest level, and compression are summarized in one panel
How to Use This Indicator
Step 1: Read the regime row
Expansion means structure and conditions favor directional trade selection. Compression and chop mean the market is less suitable for trend continuation logic.
Step 2: Check confluence grade
The grade gives a compact summary of how strongly the active state is supported by the underlying engines.
Step 3: Use liquidity and absorption together
A sweep into an active absorption zone is a materially different event than an isolated sweep with no supporting structure.
Step 4: Use nearest level for risk framing
The nearest tracked structural level helps frame where the next meaningful invalidation or continuation event may occur.
Indicator Limitations
Swing-confirmed structure always arrives with intentional delay because pivots require confirmation
Liquidity levels are contextual references, not guaranteed reversal points
Compression and chop states can persist longer than expected in slow markets
Parallax classifies regime and confluence; it is not a full execution model by itself
Originality Statement
Parallax Regime Lattice is original in the way it merges structure, liquidity, absorption, chop, compression, and confluence into one coherent regime overlay rather than presenting those layers as disconnected tools.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Structural, liquidity, and regime readings can fail in live markets. Always apply independent risk management and validation.
Indicator
Target Path Quality [AGPro Series]Target Path Quality
🧠 Core Idea
Is the path toward the next practical target reference clean, blocked, or too risky to review?
📌 Overview / What it does
Target Path Quality is a chart-first target path planning tool built to evaluate the route between current price and a practical target reference.
Instead of drawing a target and implying certainty, the script studies the path itself. It maps a forward path corridor, recent structure blockers, target room, invalidation context, a 0-100 Path Quality score, state labels, alerts, and a clean AGPro decision panel.
It does not predict that a target will be reached, automate execution, print buy/sell commands, or replace broader market context. Its purpose is to help traders judge whether the route toward a target is clean enough to deserve attention.
🎯 Purpose & Design Philosophy
This script was built for traders who already have a directional idea but need a cleaner way to evaluate the target path before focusing on execution.
Many tools draw target levels, projection zones, or take-profit ladders. Those visuals can be useful, but they often skip the more important question: what is between current price and the target?
Target Path Quality fills that gap by converting path cleanliness, blockers, risk edge, target room, volatility fit, and reaction history into one readable decision workflow.
⚡ Why This Script Is Different
Most tools focus on where price could go.
This script does NOT promise a target hit, build a take-profit ladder, or behave like a projection suite.
Instead, it asks whether the route toward the target reference is structurally clean, blocked by recent pivots, too close to justify attention, or too exposed to invalidation risk.
⚙️ Methodology
1. Context Detection
The engine identifies the active path side using EMA context or the user-selected directional mode.
2. Reference Mapping
The script maps a practical target reference, an invalidation review rail, and a forward path corridor.
3. Reaction Evaluation
It evaluates structure blockers, target-room distance, risk edge, trend support, volatility fit, and recent directional reaction history.
4. Visual Output
The result is shown through a centered path corridor label, blocker markers, target/invalidation rails, compact event labels, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Path Corridor = the active review route between current price and the practical target reference. Its label is centered inside the corridor.
Blocker Markers = recent confirmed pivots sitting inside the path. These represent possible structural obstacles.
Target Rail = the practical target reference used for path-quality review. It is not a guaranteed destination.
Invalidation Rail = the risk edge behind the active path. It is an analytical reference, not a stop recommendation.
Labels = compact state markers such as PATH READY, WATCH PATH, BLOCKED PATH, TARGET REVIEW, or INVALID REVIEW.
Colors = teal supports cleaner long-side path quality, pink supports short-side or risk context, amber marks blocker/review states, and indigo marks target-reference context.
Panel = summarizes Path Quality, Blockers, Target Room, Risk Edge, and Action.
🚦 Signals & States
• PATH READY → the path quality score is strong, target room is acceptable, and blockers are limited.
• WATCH PATH → the route is improving but does not meet the strongest review conditions.
• BLOCKED PATH → one or more structure blockers reduce route cleanliness.
• TARGET REVIEW → price has reached the active target reference area and context should be reviewed.
• INVALID REVIEW → price crossed the active invalidation rail and the path should be reassessed.
• WAIT → the current route does not provide enough path quality for active review.
🔔 Alerts Logic
Alerts can trigger when the path becomes ready, enters watch mode, becomes blocked, reaches the target reference review area, or crosses the invalidation review rail.
Each alert is an attention marker. Alerts are not trade instructions, entry commands, exit commands, or automated strategy rules.
🧩 Confluence Logic
Path quality improves when target room is practical, blockers are limited, EMA context supports the active side, volatility is neither too quiet nor overheated, and recent candles show directional reaction history.
When these elements align, the route becomes cleaner. When blockers or invalidation risk rise, the route becomes weaker.
📊 When to Use
• When reviewing a directional setup that already has a target idea
• During breakout continuation review
• During pullback continuation planning
• When comparing whether target room is clean or structurally blocked
• When a trader wants target context without a promise-based target tool
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy ranges where pivots form too frequently
• News-driven volatility spikes
• Markets where target references are too close to current price
• Situations where broader context contradicts the active path
🎛️ Key Inputs
• Path Side → controls whether the script evaluates Auto, Long Path, or Short Path context.
• Sensitivity → changes pivot strictness and blocker selectivity.
• Target Path Lookback → controls how far back the script searches for target references and blockers.
• Minimum / Ideal / Maximum Target Room ATR → controls how target room affects the score.
• Max Clean Path Blockers → defines how many blockers are tolerated before the path becomes blocked.
• Label and panel settings → control visibility, location, theme, and font sizes.
🖥️ Interface & Visual Design
The panel follows the AGPro public-release standard with one merged blue header row containing only the panel title.
The chart is designed to stay active without becoming crowded. It uses one main path corridor, up to three blocker markers, target and invalidation rails, and controlled state labels.
Label and panel font sizes are adjustable, with Normal as the default.
🧪 Practical Usage Workflow
1. Read the panel Path Quality score.
2. Check whether blockers appear inside the path corridor.
3. Compare target room against the invalidation rail.
4. Review whether the action state says Path review, Track path, Clear blockers, Review target, or Review risk.
5. Confirm the broader market context before making any independent decision.
🔍 Interpretation Guidelines
A clean path does not mean price must reach the target reference.
A blocked path does not mean price cannot continue.
The script is best read as a route-quality filter. It helps organize whether the path is clean, obstructed, risky, or ready for review.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto trading system
• Not guaranteed signals
• Not a take-profit ladder
• Not a promise that price will reach any target
⚠️ Limitations & Transparency
Target path quality can change quickly when volatility expands, pivots update, or price crosses a key reference.
Different timeframes may produce different blocker structures and target-room readings.
Low-liquidity or high-noise markets can create unstable path evaluations.
🧠 Market Context Notes
Target path analysis is strongest when combined with liquidity, structure, volatility, and trend context.
A route can look attractive by distance but still become lower quality when recent pivots block the path or the invalidation rail is too exposed.
🧾 Use Case Examples
When price trends upward and the path to the next swing reference is open, the script may show PATH READY.
When a recent pivot high sits between current price and the target reference, the script may show BLOCKED PATH.
When price reaches the target reference rail, the script may show TARGET REVIEW.
When price crosses the invalidation rail behind the path, the script may show INVALID REVIEW.
🧱 System Philosophy
AGPro Series tools are designed to support structured decision review, not emotional signal chasing.
Target Path Quality follows that philosophy by focusing on route cleanliness, blocker context, risk edge, and next-action state instead of a simple directional signal.
🔐 Non-Promise Statement
No target reference is certain.
No path score guarantees continuation.
No alert should be treated as a trade instruction.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, risk controls, and market interpretation.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use this tool to study how target path quality changes as blockers appear, target room expands or contracts, and invalidation risk shifts.
The strongest value comes from comparing the path corridor, blocker markers, risk rail, and broader market context together.
Indicator
Volatility Cooldown Planner [AGPro Series]Volatility Cooldown Planner
🧠 Core Idea
Has volatility cooled down enough to read the chart again?
📌 Overview / What it does
Volatility Cooldown Planner is a chart-first volatility risk and readiness tool built for the period after a sharp ATR spike, wide-range candle, or large wick event.
Instead of printing another directional signal, the script asks whether the market is still unstable, cooling, ready for review, or readable again. It produces a spike box, a forward cooldown band, spike rails, unsafe volatility warnings, readiness labels, alerts, and a clean AGPro planning panel.
The script does not predict news events, identify hidden catalysts, automate decisions, or tell users what to buy or sell. Its role is to organize post-spike volatility context into a readable decision workflow.
🎯 Purpose & Design Philosophy
This script was built for traders who often face the same problem after sudden volatility: the chart is active, but not always readable.
Many tools focus on volatility expansion, squeeze release, regime classification, or breakout confirmation. Those can be useful, but they do not always answer the practical question that appears after a spike: should the trader keep reading this structure now, or wait until volatility load normalizes?
The design philosophy is simple: after unstable volatility, the first decision is not direction. The first decision is whether the chart is clean enough to evaluate.
⚡ Why This Script Is Different
Most volatility tools focus on detecting expansion, squeeze release, high ATR regimes, or dramatic candles.
This script does NOT try to detect news events, does not clone a volatility expansion planner, does not act as a stop-run model, and does not classify broad volatility cycles.
Instead, it studies the cooling process after the spike. The main output is a 0-100 Cooldown Score and a next-action state that separates UNSAFE, TOO EARLY, COOLING, READINESS REVIEW, and CHART READABLE conditions.
⚙️ Methodology
1. Spike Detection
The engine identifies spike context using ATR Load, single-bar range expansion, and dominant wick size.
2. Cooldown Mapping
When a spike appears, the script draws a spike box and a forward cooldown band. The band becomes the active review area for post-spike readability.
3. Readiness Evaluation
The model scores ATR load normalization, range contraction, time decay, close-to-close stability, and wick pressure.
4. Visual Output
The planner displays the active state through labels, rails, band color, alert conditions, and a compact AGPro panel.
🗺️ How to Read the Chart
Spike Box = the original volatility shock area.
Cooldown Band = the forward review window where the script evaluates whether volatility is becoming readable again.
Spike Rails = the upper and lower reference boundaries from the spike event. They are volatility context rails, not entry or stop instructions.
Readability Trail = an optional lightweight dot layer for users who want extra chart presence between major labels. It is disabled by default for a cleaner publication preset.
Unsafe Label = volatility has reloaded before cooldown completed.
Ready / Readable Labels = the cooldown score has reached a stronger review state.
Panel = a compact decision view showing Spike State, Cooldown Score, Volatility Load, Readiness, Action, and Best View.
🚦 Signals & States
• SPIKE → a new volatility shock has been registered.
• UNSAFE → volatility reloaded before the cooldown process became stable.
• TOO EARLY → not enough bars have passed after the spike.
• COOLING → volatility is improving, but readiness is not strong enough yet.
• READINESS REVIEW → conditions are strong enough to review the chart again.
• CHART READABLE → ATR load has normalized and the cooldown score is strong.
🔔 Alerts Logic
Volatility Spike Registered triggers when ATR load, range expansion, or wick pressure qualifies as a spike event.
Unsafe Volatility Reload triggers when volatility expands again during the active cooldown window.
Cooldown Readiness Review triggers when the cooldown score reaches the readiness threshold.
Chart Readable After Cooldown triggers when volatility load and cooldown quality both reach the strongest readable state.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest cooldown state appears when multiple conditions align:
ATR load falls toward the target area, recent ranges contract, close-to-close movement stabilizes, wick pressure fades, and enough time has passed after the spike.
When these conditions align, the chart becomes more readable under the script's rules. This does not create certainty or directional prediction.
📊 When to Use
• After sharp ATR spikes
• After wide-range candles
• After large wick events
• After fast liquidation-style movement
• During post-event stabilization
• When the chart feels too unstable to interpret cleanly
• Best visual fit: 4H charts and intraday-swing volatility review
• Daily charts can work for broader context, but they may look more sparse because fewer cooldown events appear
⚠️ When NOT to Use
• Very low-liquidity markets
• Illiquid sessions with unreliable candle structure
• Extreme news volatility where conditions keep changing quickly
• Symbols with irregular gaps or poor feed quality
• As a standalone directional entry system
🎛️ Key Inputs
• Sensitivity → controls how demanding spike detection is.
• ATR Length → normalizes spike size and label offsets.
• ATR Baseline Length → defines the local volatility baseline.
• Cooldown Review Window → controls how long the spike remains under review.
• Cooldown Target ATR Load → defines the internal volatility load target for readability.
• Readiness Score Threshold → defines when the panel can mark readiness review.
• Visual settings → control spike boxes, cooldown bands, rails, markers, and background warnings.
• Readability Trail → optional subtle chart presence during active cooldown or elevated volatility.
• Label and Panel Font Size → control chart labels and panel readability.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The spike box explains where the instability started. The cooldown band shows the active review window. The centered band label gives the current state without forcing the user into a lower-pane dashboard.
The default visual preset keeps the chart calmer by hiding standalone spike event labels, sparse context labels, label scores, readable-upgrade follow-up labels, and the optional readability trail. Users can enable those layers when they want a denser visual review.
The AGPro panel follows the public-release standard with one merged blue header row containing only the panel title. The remaining rows focus on decision context rather than raw data overload, including a Best View row that points users toward the 4H chart when needed.
🧪 Practical Usage Workflow
1. Read the panel Readiness and Action fields.
2. Start with a 4H chart when preparing a visual review or publication screenshot.
3. Check whether the chart is still inside an active cooldown band.
4. Watch Volatility Load and Cooldown Score.
5. Treat UNSAFE as a warning that the chart may still be unstable.
6. Treat READINESS REVIEW or CHART READABLE as a prompt to evaluate broader structure, not as an automatic trade command.
🔍 Interpretation Guidelines
A high cooldown score means volatility has normalized under the script's rule set.
It does not mean price must continue, reverse, or respect the spike rails.
The best use is as a readability filter after unstable movement. It helps the trader decide whether the market is still too hot, cooling, or clean enough to study again.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a news-event detector
• Not a volatility expansion breakout tool
• Not a stop-run or liquidity-sweep model
⚠️ Limitations & Transparency
This script uses standard PulseWire OHLCV data and ATR-based measurements.
It cannot identify the real-world cause of volatility. It cannot know whether a spike came from news, liquidation, session flow, thin liquidity, or normal order flow.
Timeframe selection, symbol liquidity, session structure, and volatility regime can affect how quickly cooldown states appear. The default preset is visually best suited to 4H charts; lower timeframes may require stricter inputs, while Daily charts may naturally show fewer events.
🧠 Market Context Notes
Volatility often becomes hardest to interpret immediately after a sharp event.
Some spikes create clean follow-through. Others create unstable noise, whipsaw, or delayed normalization.
This planner focuses on the cooling process, not the directional outcome.
🧾 Use Case Examples
When a wide candle appears and the panel shows UNSAFE, the trader can wait for volatility load to normalize before interpreting follow-through.
When a spike box remains active but the score rises into READINESS REVIEW, the trader can compare the cooldown band with broader structure, trend, liquidity, and personal execution rules.
When the panel reaches CHART READABLE, the market is no longer classified as overheated by the script, but the user still needs independent context.
🧱 System Philosophy
AGPro tools are designed to convert market structure into decision context.
This script follows that philosophy by turning post-spike volatility into a readable workflow: identify the shock, monitor the cooldown, evaluate the readiness state, and avoid treating every fast move as immediately actionable.
🔐 Non-Promise Statement
No script can remove uncertainty.
No cooldown state guarantees that the next move will be clean.
The output is a structured analytical context, not certainty.
📉 Risk Disclosure
Trading involves risk.
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 spikes, how long different symbols take to normalize, and how readability changes across timeframes.
Indicator
Failed Reclaim Planner [AGPro Series]Failed Reclaim Planner
🧠 Core Idea
Did price lose a visible swing shelf, retest it, and fail to reclaim that level with enough rejection quality, risk clarity, and continuation room to matter?
📌 Overview / What it does
Failed Reclaim Planner is a chart-first failed reclaim decision engine built around visible swing shelves.
The script identifies when price breaks a confirmed swing high or swing low shelf, watches the retest of that broken level, and evaluates whether the reclaim attempt fails with enough rejection quality to become meaningful context.
It produces visible shelf zones, failed reclaim pockets, BULL / BEAR quality labels, planning room bands, risk / target guides, and a compact AGPro panel with a 0-100 failure score, rejection quality, room, and next-action state.
This script does not predict price direction or automate execution. It is designed to organize reclaim-failure context so traders can review structure, risk, and room more clearly.
🎯 Purpose & Design Philosophy
The script was built for traders who want more than another signal marker.
Most reclaim tools show whether price crossed a level. Failed Reclaim Planner focuses on the decision process after a visible shelf breaks: was the retest valid, did the reclaim fail, how strong was the rejection, where is invalidation, and is there enough room for the idea to matter?
The design supports a planning mindset: identify the broken shelf, wait for the retest, evaluate the failed reclaim, check room, and then decide whether the context deserves attention.
⚡ Why This Script Is Different
Most tools focus on fixed references such as VWAP, moving averages, prior-day levels, or broad support/resistance zones.
This script does NOT act as a generic S/R scanner, VWAP reclaim indicator, EMA reclaim map, previous-day sweep tool, or liquidity sweep engine.
Instead, it focuses on one narrow workflow: failed reclaim planning after a visible swing shelf breaks. The reference level is visible on the chart, the failure pocket is mapped, the rejection is scored, and the panel summarizes the next action.
⚙️ Methodology
1. Swing Shelf Detection
The script confirms visible swing highs and swing lows using left/right pivot structure.
2. Shelf Break Activation
When price closes beyond a confirmed shelf with enough ATR-adjusted separation, that shelf becomes an active reclaim reference.
3. Retest and Failure Evaluation
During the retest window, the script checks whether price returns into the shelf area and then rejects the reclaim. The failure score evaluates retest depth, close rejection, wick quality, volume participation, follow-through, and continuation room.
4. Planning Output
Qualified events create a scored BULL / BEAR label, a failed reclaim pocket, planning room band, invalidation guide, target-room guide, and panel state.
🗺️ How to Read the Chart
Shelf Zones = visible broken swing shelves that price may attempt to reclaim.
Failure Pockets = highlighted reclaim-failure areas where the retest rejected the broken shelf.
Planning Room Bands = projected continuation room after a qualified failed reclaim. These are planning references, not targets or promises.
Score Labels = compact BULL / BEAR labels showing the failure quality score.
Risk / Target Guides = dashed and dotted reference lines that help locate invalidation and continuation room.
Panel = the decision layer showing Reclaim State, Failure Score, Rejection Quality, Room, and Action.
🚦 Signals & States
• UP SHELF → a visible swing high was broken and is now monitored as a reclaim shelf.
• DN SHELF → a visible swing low was broken and is now monitored as a reclaim shelf.
• Bear Failure Active → bearish failed reclaim context is active after a broken shelf retest.
• Bull Failure Active → bullish failed reclaim context is active after a broken shelf retest.
• Failure Score → 0-100 quality score for the reclaim failure.
• Rejection Quality → how cleanly price rejected the reclaim attempt.
• Room → ATR-based continuation space available from the failure context.
• Action → the current planning state shown in plain language.
🔔 Alerts Logic
Alerts are available for:
• Bearish Failed Reclaim
• Bullish Failed Reclaim
• New Broken Shelf
• Shelf Recovered
Alerts are attention markers. They are not trade instructions, automation signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when several conditions align:
• A visible swing shelf has already broken
• Price retests the broken shelf
• The reclaim attempt fails with wick and close rejection
• Participation is not weak
• There is still continuation room beyond the failed reclaim
When these elements align, the script treats the event as a stronger planning context.
📊 When to Use
• After clear swing highs or swing lows have broken
• During retests of broken structure
• In trending or transitioning markets where reclaim failure can matter
• When you want risk, invalidation, and room mapped visually
• When you prefer decision support over raw signal spam
⚠️ When NOT to Use
• Very low-liquidity charts
• Extremely noisy sideways chop
• News-driven spikes where ATR behavior becomes distorted
• Markets with poor swing structure
• Situations where you specifically need VWAP, session, or moving-average reclaim logic
🎛️ Key Inputs
• Sensitivity → adjusts how quickly the script reacts to shelf breaks and failures.
• Swing Left Bars / Swing Right Bars → define how visible swing shelves are confirmed.
• Retest Window Bars → controls how long a broken shelf remains active for reclaim evaluation.
• Minimum Failure Score → sets the quality threshold for confirmed failed reclaim events.
• Shelf Buffer ATR → controls the thickness of the reclaim shelf zone.
• Target Room ATR Multiple → controls fallback room projection when nearby structure is limited.
• Show Planning Room Band → displays the continuation room corridor after qualified failed reclaim events.
• Visual Memory Bars → controls how long historical zones, labels, and guide objects remain visible.
• Panel / Label Settings → control panel location, theme, visibility, and font size.
🖥️ Interface & Visual Design
The interface is designed to look like a planning tool, not a crowded signal overlay.
The chart carries the core story: shelf break, retest, failed reclaim pocket, score label, planning room, and risk / target references.
The panel uses the AGPro public-release standard: one merged blue header row containing only the script name. The rest of the panel summarizes the current decision state without covering the chart.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether a visible shelf is active or already failed.
3. Review the failed reclaim pocket and BULL / BEAR score label.
4. Compare the rejection quality with the planning room band.
5. Use risk / target guides as context references.
6. Interpret the output within broader market structure.
🔍 Interpretation Guidelines
A higher Failure Score means the reclaim failure is cleaner under the script's rules. It does not guarantee continuation.
Rejection Quality helps distinguish weak shelf touches from stronger failed reclaim behavior.
Room shows whether there is enough practical continuation space for the context to matter.
The Action row is the main planning summary. It is designed to guide review, not replace trader judgment.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a VWAP reclaim tool
• Not an EMA reclaim map
• Not a previous-day sweep reclaim script
• Not a generic support/resistance scanner
⚠️ Limitations & Transparency
Different timeframes can produce different shelves because swing structure changes with timeframe.
Volatility changes can affect shelf width, label spacing, and room projections.
Low-volume conditions may weaken the reliability of wick and participation components.
Sideways markets may create repeated shelf tests that require extra discretion.
🧠 Market Context Notes
Failed reclaim behavior often becomes important when price loses a visible structural shelf and cannot regain that area on the retest.
This is different from a successful reclaim, liquidity sweep, VWAP reclaim, or moving-average retest. The script is intentionally narrow so the chart remains focused on one decision workflow.
🧾 Use Case Examples
Example 1:
Price breaks below a confirmed swing low, retests that shelf from underneath, leaves rejection, and fails to reclaim. A BEAR score label appears with a failure pocket and planning room.
Example 2:
Price breaks above a confirmed swing high, retests the broken shelf, holds above it, and rejects back upward. A BULL score label appears with risk and room context.
🧱 System Philosophy
Failed Reclaim Planner follows the AGPro decision-engine approach:
Do not just show another signal.
Show the reference.
Score the failure.
Map the risk.
Map the room.
Summarize the next action.
🔐 Non-Promise Statement
No script provides certainty.
No failed reclaim guarantees continuation.
Outputs should be interpreted as structured analytical context, not as a promise of future price behavior.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, execution, and risk management.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this script to study how broken swing shelves behave when price attempts to reclaim them. The strongest value comes from comparing the shelf zone, failure pocket, score label, planning room, and panel state with broader market structure and your own rules.
Indicator
Concordia Regime Execution [JOAT]Concordia Regime Execution
Introduction
Concordia Regime Execution is an open-source PulseWire strategy that integrates regime detection, trend bias, structure, momentum breadth, pressure confirmation, and ATR-based risk management into one non-repainting execution model. The strategy is built as a realistic framework rather than a curve-fit showcase.
The problem Concordia solves is signal fragmentation. Regime, trend, structure, and momentum are often evaluated separately, which leads to entries taken in the wrong environment. Concordia requires multiple engines to align before a position is opened, then manages risk through predefined stop, target, trailing, and bias-failure exits.
Core Concepts
1. Regime Detection
ADX, choppiness, and compression work together to classify whether the market is suitable for directional participation.
2. Trend Bias Filter
Fast, intermediate, and structural EMAs plus anchored VWAP context define directional bias before any entry can pass.
3. Structure Confirmation
Confirmed bullish or bearish breaks of recent swing structure add structural alignment to the trade decision.
4. Momentum Breadth
A compact ribbon engine classifies whether fast momentum is actually expanding in the same direction as trend and structure.
5. Pressure and Risk Layer
Chart-derived pressure and crowding inputs help confirm continuation and suppress entries during elevated stress.
6. Risk Management
Each trade uses ATR-based initial stop placement, ATR-based profit target, optional trailing activation, and bias-failure closure if internal conditions deteriorate.
Features
Regime gate: Expansion, compression, and transitional filtering
Trend alignment: EMA stack plus anchored VWAP bias logic
Structure filter: Recent swing break confirmation
Momentum breadth: Ribbon spread confirmation instead of a single oscillator line
Pressure confirmation: Chart-derived directional pressure and crowding logic
Risk model: ATR stop, ATR target, trailing trigger, and bias-failure exit
Top-right dashboard: Regime, bias, structure, momentum, pressure, risk, setup scores, active position, and stop/target levels
Confirmed-bar entries: All setup logic is gated on confirmed bars
How to Use This Strategy
Step 1: Start with liquid markets
Concordia is better suited to instruments where anchored VWAP, ATR, and structure transitions behave consistently.
Step 2: Use realistic assumptions
Commission, slippage, and position sizing inputs should match your actual market and trading conditions before evaluating performance.
Step 3: Evaluate regime quality first
The strategy is intentionally selective. If the market is compressing or structurally unstable, fewer trades should occur.
Step 4: Review bias-failure exits
These exits are included to avoid overstaying trades when internal alignment breaks down before the stop or target is reached.
Strategy Limitations
Like any rules-based strategy, it can underperform in abrupt gap conditions or news-driven spikes
ATR-based exits adapt to volatility, but they are not guaranteed to be optimal for every instrument
The strategy is intentionally conservative and may miss some fast reversals
Historical performance does not guarantee future results
Originality Statement
Concordia Regime Execution is original in the way it integrates regime, trend, structure, momentum breadth, pressure confirmation, and ATR-based trade management into a single open-source strategy designed for realistic chart use rather than decorative backtest output.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell any instrument. Strategy results are based on historical chart data and platform assumptions. Live trading results can differ materially. Always validate settings and use independent risk management.
Strategy
Market Structure Recovery Planner [AGPro Series]Market Structure Recovery Planner
🧠 Core Idea
Did damaged market structure recover with enough acceptance, risk clarity, and target room to deserve attention?
📌 Overview / What it does
Market Structure Recovery Planner is a chart-first planning tool for evaluating what happens after clean swing structure gets damaged and price attempts to repair the damaged rail.
The default design is strongest on 4H swing-structure charts, where the damage / recovery / repair-room sequence has enough space to be readable without becoming too sparse or too noisy.
The script maps a damaged structure rail, recovery pocket, risk edge, repair-room corridor, 0-100 recovery score, acceptance state, and a clear next-action panel. It does not try to predict price or automate decisions.
It is designed to make structure recovery easier to review: what broke, what was recovered, whether acceptance is building, where the plan becomes invalid, and whether enough structural room remains.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between generic structure labels and full break-retest systems.
Many tools show a BOS, CHOCH, or support/resistance touch. Market Structure Recovery Planner focuses on the recovery phase after damage: the moment where structure may be repairing but still needs proof.
It supports traders who want a decision-engine workflow instead of another raw signal marker.
⚡ Why This Script Is Different
Most tools focus on detecting a structure break or plotting broad support and resistance zones.
This script does NOT clone BOS / CHOCH scanners, Structure Retest Planner, Reclaim Breakout Planner, or generic S/R maps.
Instead, it studies damaged swing structure and asks whether the damaged rail has been recovered with acceptance, participation, risk clarity, and enough room to matter.
⚙️ Methodology
1. Context Detection
The script confirms swing structure using higher-high / higher-low or lower-high / lower-low behavior.
2. Damage Mapping
When clean structure loses its prior swing rail, the script records the damaged rail and the damage extreme.
3. Recovery Evaluation
Price must reclaim the damaged rail. The 0-100 score weighs damage depth, recovery close, acceptance hold, volume response, and room to target.
4. Visual Output
The chart shows the recovery pocket, risk edge, repair-room corridor, event labels, and a compact AG Pro panel.
🗺️ How to Read the Chart
Recovery Pocket = the area around the damaged structure rail where repair quality is evaluated.
Risk Edge = the level where the active recovery plan should be reviewed as failed or invalidated.
Repair Room = the available structural space between the recovered rail and the next room reference.
Labels = compact state markers for damage, recovery, ready state, thin room, or failed recovery.
Panel = structure state, recovery score, acceptance, risk edge, and next action.
🚦 Signals & States
• Structure Damage Detected → a clean swing structure rail has been broken.
• Structure Recovery Detected → price recovered the damaged rail.
• Recovery Planner Ready → score, acceptance, and repair room meet the configured threshold.
• Repair Room Thin → recovery exists but available room is limited.
• Recovery Failed → price crossed the active risk edge.
🔔 Alerts Logic
Alerts trigger when structure damage appears, recovery is detected, planner-ready state begins, repair room becomes thin, or the active recovery fails.
Alerts are attention markers only. They are not trade instructions and do not imply guaranteed outcomes.
🧩 Confluence Logic
The recovery context becomes stronger when structure damage is repairable, price closes back through the damaged rail, acceptance holds for several bars, volume participation improves, and room to the next structural reference remains open.
📊 When to Use
• 4H swing-structure review
• After a clean swing structure loses a key rail
• During trend repair attempts
• Around failed breakdown or failed breakout behavior
• When a trader needs risk / target / invalidation context after structural damage
⚠️ When NOT to Use
• Very low timeframes where structure damage appears too often
• Very high timeframes where recovery states can stay expired for long periods
• Extremely low-liquidity markets
• Very noisy chop where swing structure changes constantly
• Major news candles with abnormal displacement
• Markets where volume data is unreliable and structure is too compressed
🎛️ Key Inputs
• Structure Swing Length → controls how selective the swing structure model is.
• Sensitivity → adjusts damage and recovery rail strictness.
• Timely Recovery Window → controls how long a damaged rail remains relevant.
• Planner Ready Score → sets the required quality threshold.
• Panel / Label Settings → control location, theme, size, and visual density.
🖥️ Interface & Visual Design
The interface is designed around a compact premium panel and clean chart-first visuals.
The first panel row uses the AG Pro title format. Zones are restrained and centered, labels are offset away from candles, and the chart remains readable while still showing enough state markers to avoid an empty look.
🧪 Practical Usage Workflow
1. Read the panel structure state.
2. Check whether the damaged rail has a recovery pocket.
3. Review recovery score and acceptance.
4. Compare risk edge with repair room.
5. Treat the action row as a review state, not as an instruction.
🔍 Interpretation Guidelines
Think in stages: damage, recovery, acceptance, room, and failure.
A high score means the recovery context is cleaner according to the script rules. A low score means the repair is weak, late, thin, or poorly supported.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a generic BOS / CHOCH scanner
• Not a generic support / resistance zone map
⚠️ Limitations & Transparency
Swing confirmation depends on the selected timeframe and pivot length.
Volatility can widen recovery pockets and change the quality score.
Market conditions can shift quickly, especially during news, low liquidity, or abnormal volume.
🧠 Market Context Notes
Structure recovery is most useful when the trader already understands the broader trend, liquidity environment, and volatility regime.
The script gives a structured review of damaged structure, not certainty about future price movement.
🧾 Use Case Examples
When bullish structure loses a higher-low rail and later closes back above that rail with acceptance, the script can mark a bullish recovery review.
When bearish structure loses a lower-high rail and later closes back below that rail, the script can mark a bearish recovery review.
🧱 System Philosophy
Market Structure Recovery Planner follows the AGPro Series approach: clear structure, rule-based scoring, readable visuals, and decision support without outcome promises.
🔐 Non-Promise Statement
No script can guarantee market direction, trade success, or certainty.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, risk management, and decisions.
This script does not provide financial advice.
📚 Educational Note
Use the script to study how structure damage and recovery behave across different symbols, sessions, and timeframes.
For public chart examples, 4H is the recommended default because it shows the structure-repair workflow most clearly.
Indicator
Market Bias Dashboard (MBD) [SharpStrat]Market Bias Dashboard - MBD
Trading without context is like driving with a blindfold on.
You see a bullish signal. You enter. Price reverses immediately. Why? Probably because the signal was real but the context was wrong. You were probably buying at the top of a range into a fading trend against a higher timeframe that was screaming bearish. The signal didn't lie to you. You just didn't have the full picture.
MBD gives you the full picture.
It's a context dashboard that sits on your chart and answers the most important question in trading before you even think about entering: What is this market actually doing right now? Not a buy signal. Not a sell signal. Just pure honest market context, measured four different ways, on two timeframes at once, updated every single bar.
The reason it uses four separate components rather than one is deliberate. Any single measurement of the market is incomplete. Structure alone doesn't tell you if the trend has momentum behind it or if it's running out of steam. Momentum alone doesn't tell you where price sits in the bigger range. Volatility alone doesn't tell you the direction. Each component fills in a blind spot that the others have, and together they give you a picture that none of them could give alone.
How it was built — the thinking behind it
Most context indicators fail because they either use one measurement or they combine things in a way that makes the output a black box. MBD was built differently. Every component measure something completely separate, so if one is broken or noisy the others still give you useful information. And every component's reading is visible individually, so you always know why the combined bias says what it says.
The four things it measures are the four things that define market behaviour at any point in time i.e. direction, position, energy, and state. Take away any one of them and your read of the market is incomplete.
Component 1 — Structure
The foundation. Before anything else, you need to know which direction the market is moving.
Structure is determined by looking at real swing highs and swing lows actual turning points in price, confirmed by a configurable number of bars on either side. MBD then compares the last two swing highs and the last two swing lows to each other:
Higher High + Higher Low = price is making upward progress = Bullish structure
Lower High + Lower Low = price is making downward progress = Bearish structure
Mixed = price is going nowhere with conviction = Neutral
The key distinction here is that this uses actual pivot points, not a moving average that lags behind price. When price makes a genuine new swing high above the previous one, that is a fact. MBD records it. When structure flips, when a bullish sequence suddenly becomes bearish the dashboard immediately flags it as Transitioning , which is a warning to pay attention even before the other components react.
Component 2 — Range Position
Knowing the direction is not enough. You also need to know where price currently sits within the bigger picture.
Think of it this way if a stock has been trading between 100 and 150 for the past two months and it is currently at 148, the structure might still say bullish. But you are buying right at the top of a two-month range. That is a very different risk than buying the same stock at 108.
Range Position solves this. It takes the highest high and lowest low over the last 50 bars (configurable) and calculates exactly where the current price sits inside that range as a percentage. It then displays that as a visual progress bar so you can see it instantly without reading a number:
Above 60% — price is in the upper portion of the range, bullish context
40% to 60% — price is in the middle, neutral, no positional edge
Below 40% — price is in the lower portion of the range, bearish context
This component is especially powerful when it contradicts structure. Bullish structure but range position at 90%? That tension is worth knowing. You are buying a bullish trend right at the top of the range the exact level where sellers tend to appear. MBD puts that conflict in front of you so you can decide what to do with it.
Component 3 — Momentum
A trend can be intact and dying at the same time. Momentum is what tells you which one it is.
Here is something most beginners don't realize: a market can keep making higher highs while simultaneously running out of steam. The direction is still up. The structure still says bullish. But each successive push is covering less ground than the one before it. That is a trend that is exhausting itself and being in it without knowing that is how you get caught in a reversal you did not see coming.
MBD measures momentum by tracking the size of recent price swings and comparing them to earlier ones. How much distance each swing is covering relative to past swings. Then it smooths that comparison to filter out noise.
Swings getting bigger = Accelerating. The trend has fuel. It is building, not dying.
Swings roughly the same size = Steady. Trend is continuing at a consistent pace.
Swings getting smaller = Fading. Energy is leaving the move. Proceed with caution.
The most powerful combination is Bullish structure + Accelerating momentum. That is a market with direction and energy behind it. The most dangerous combination is Bullish structure + Fading momentum a trend that looks fine on the surface but is quietly breaking down underneath.
Component 4 — Volatility
Market cycle between expansion and contraction. This component tells you which phase you're in.
After a big move, markets tend to calm down and compress. Volatility drops. Ranges tighten. Then at some point the compression end and when it does, the next move tends to be sharp and clean. Understanding where you are in that cycle completely changes how you should be treating the market.
MBD measures this by comparing the current ATR (Average True Range a measure of how much price is actually moving bar to bar) against its own longer-term average. Three states are possible:
Expanding — the market is moving more than usual. Trends are active and clean. Good environment for trend following entries.
Normal — Volatility is around its historical average. Market is in a typical state, nothing exceptional to flag.
Coiling — Volatility has contracted significantly below normal. The market is compressing like a spring. It will not stay this quiet forever.
When you see Coiling on the dashboard, a breakout is typically approaching. It does not tell you the direction but it tells you to pay attention, tighten your stops if you are in a trade, and have a plan ready. Many of the cleanest, most explosive moves in any market come directly out of a coiling period.
The combined bias
Each component scores +1 for a bullish reading, -1 for bearish, and 0 for neutral. Those scores are added up and the total maps to these labels:
▲ Strong Bullish — most or all components aligned bullish
▲ Moderate Bullish — clear bullish lean with some components neutral
▲ Weak Bullish — marginal bullish lean, proceed carefully
◆ Ranging — no directional edge at all
▼ Weak / Moderate / Strong Bearish — same logic in the bearish direction
⚡ Coiling — breakout approaching, direction unclear.
↔ Transitioning — structure just flipped. Wait for confirmation.
The bias label is visible for both your current timeframe and your higher timeframe simultaneously, so you always have both perspectives in front of you.
Multi-Timeframe
At the bottom of the component section there is a TF Alignment row. This is arguably the most valuable reading in the entire indicator.
It tells you whether your current timeframe and your higher timeframe are saying the same thing:
Aligned — both timeframes agree on direction. This is where the highest probability setups live. When you are bullish on the 15-minute and the 4-hour is also bullish, you have the wind at your back.
Conflicting — the timeframes disagree. You might be seeing a bullish setup on your trading timeframe but the higher timeframe is bearish. That does not mean you can't trade but you are fighting the bigger picture, and that should affect your position size and your expectations. Mixed — partial agreement. Somewhere in between.
The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely.
The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely.
Past Bias Trail
The trail row shows the last 10 bias states the market has moved through, from oldest on the left to newest on the right. Each symbol represents a complete past bias when the bias changed state. This filters out noise and shows you meaningful shifts.
Three patterns to watch for:
Consistent — sustained bullish symbols across most of the trail. This tells you the market has been in a clean trend for a while and the current bullish reading is not new it has been the dominant state. Trade with it.
Choppy — random mix of bullish, bearish, and neutral. The market has been going nowhere with conviction for a while. Even if the current bias looks bullish, history says this market cannot hold a direction. Reduce size or sit out.
Reversal — bearish, then ranging, then coiling, then transitioning, then bullish. This is a textbook reversal building over time. Each step makes sense in sequence. This is the kind of trail that tells you a genuine directional shift has happened and the new bias has momentum behind it.
How to Use
Each step builds context, so following a consistent flow helps you understand not just what the market is doing, but whether it’s worth trading at all.
1: Check Timeframe Alignment - Start by comparing your current timeframe with the higher timeframe.
When both are aligned, the market has directional agreement and trades carry higher probability. If they conflict, you are trading against the broader trend, which increases risk. Mixed conditions usually indicate uncertainty.
At this stage, you are simply deciding whether the environment is favorable enough to proceed.
2: Read the Overall Bias - A strong bias means multiple factors are supporting the same direction, while a weak or neutral bias suggests there is no clear edge. This step helps you quickly judge whether the market has conviction or is just moving without structure.
3: Understand the Components - Look at structure, range position, momentum, and volatility together. These components explain why the bias exists. For example, a bullish bias supported by strong structure and accelerating momentum is very different from a bullish bias where momentum is already fading.
4: Evaluate Entry Location - Before entering, check where price sits within its range.
Even in a strong trend, entering near extremes increases risk. Good trades come from combining direction with reasonable positioning, not chasing price at the edges.
5: Confirm Momentum
Momentum tells you if the move still has strength.
Accelerating momentum supports continuation, while fading momentum warns that the move may be weakening. This helps you avoid entering late into exhausted trends.
6: Check Volatility
Now assess the volatility state.
Expanding volatility supports trending moves, while coiling indicates compression and a potential breakout. During coiling phases, it is usually better to wait for confirmation rather than predict direction.
7: Review Recent History
Finally, glance at the bias history trail.
A consistent sequence suggests a stable trend, while a mixed sequence indicates choppy conditions. This adds context and helps you judge whether the current state is likely to hold.
Final Decision
When alignment, bias, components, and conditions all support each other, you have a strong setup. If they conflict, the better decision is often to stay out.
SETTINGS
Swing Length — How strict the pivot detection is. Higher = fewer but more significant swings detected (default: 5)
Range Lookback — How many bars define the recent high/low range (default: 50)
ATR Period — Bars used to measure current volatility (default: 14)
ATR Average Period — Volatility baseline (default: 50)
Coiling Threshold - How compressed volatility must be to trigger the Coiling state (default: 0.75)
Higher Timeframe —Multi timeframe (default: 240 = 4H)
History Count — Number of observations in the past bias trail (default: 8)
Panel Position — Where the dashboard sits on your chart (default: Top Right)
Color Theme — Dark / Light
Works everywhere
MBD is built to work universally not just on one asset type or one timeframe. The four components it measures are structure, range position, momentum, volatility these exist in every liquid market that has ever traded. Whether you are scalping Bitcoin on the one minute chart, swing trading stocks on the daily, or analyzing forex on the four hour, the dashboard reads the same way and the interpretation is identical.
This is not a signal tool . It is a context tool. Use it to understand the market before you enter, not to decide for you.
Indicator
Structure Retest Planner [AGPro Series]Structure Retest Planner
🧠 Core Idea
Is the active structure retest being accepted, rejected, or invalidated?
📌 Overview / What it does
Structure Retest Planner is a structure-based trade planning overlay designed to help traders evaluate how price behaves when it returns to an important swing-derived structure rail.
The script maps the active support-side or resistance-side rail, draws a focused retest box around that rail, scores the retest from 0-100, and projects practical invalidation and target guides. The goal is to organize the retest decision process: structure state, score, acceptance, invalidation, and next action.
It does not predict the next move, does not automate trading, and does not turn every swing point into a generic support/resistance signal. It is a decision-support planner for reading acceptance and rejection around a live structure retest.
🎯 Purpose & Design Philosophy
This script was built for traders who use price structure but need a cleaner way to judge whether a retest deserves attention.
Most structure tools identify levels, breaks, or swing labels. Structure Retest Planner focuses on the next decision after a rail is present: is price responding cleanly enough, is invalidation nearby, and what should be reviewed next?
The design supports a planning mindset rather than a signal-chasing mindset. It is meant to make the chart easier to interpret while keeping the trader responsible for context and risk.
⚡ Why This Script Is Different
Most tools focus on plotting structure breaks, BOS / CHoCH labels, or broad support and resistance zones.
This script does NOT clone a BOS / CHoCH detector and does NOT duplicate a first-break retest grader.
Instead, it treats the active structure rail as a planning reference and evaluates acceptance, rejection, volatility fit, trend agreement, invalidation distance, and next-action state in one workflow.
⚙️ Methodology
1. Context Detection
The script confirms swing-derived structure rails using pivot logic and identifies whether the active planning side is support retest, resistance retest, or automatic nearest-rail context.
2. Reference Mapping
It draws a retest box around the active rail, plus an invalidation shelf and target guide. These are planning references, not guaranteed outcomes.
3. Reaction Evaluation
The 0-100 score combines level origin quality, retest response, close location, volatility fit, and trend agreement.
4. Visual Output
The script shows a centered retest-box label, compact event labels, rail/invalidation/target guides, alerts, and a premium AG Pro panel.
🗺️ How to Read the Chart
Zones = the active retest box around the selected structure rail.
Labels = watch, accepted, rejected, invalidated, or risk-review states with optional score and grade.
Colors = teal for support-side acceptance, pink for resistance-side or rejection pressure, yellow for review states, and indigo for planning context.
Panel = structure state, retest score, acceptance state, invalidation shelf, and next action.
🚦 Signals & States
• Retest Watch → price is close enough to the active rail and the score is improving.
• Accepted → price tested the rail and closed constructively on the expected side.
• Ready → acceptance is active and the score reached the ready threshold.
• Rejected → price tested the rail but did not show clean acceptance.
• Invalidated → price closed beyond the invalidation shelf.
• Risk Review → retest behavior exists, but volatility is too hot for clean reading.
🔔 Alerts Logic
Alerts trigger when the script detects a new watch state, accepted retest, high-quality retest review, rejected retest, or invalidation shelf break.
Alerts are attention markers. They are not trade instructions and should always be interpreted with broader market context.
🧩 Confluence Logic
The score improves when the active rail has a cleaner structural origin, price reacts near the rail, the close lands on the expected side, volatility is not overheated, and trend context agrees with the retest side.
When these factors align, the retest context becomes easier to review. When they conflict, the panel shifts toward waiting, context confirmation, risk review, or reset.
📊 When to Use
• Pullbacks toward confirmed swing structure
• Trend continuation retests
• Resistance retests after bearish structure pressure
• Support retests after bullish structure pressure
• Markets where structure rails are visible and not excessively noisy
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy sideways markets
• News-driven volatility spikes
• Markets where pivot structure is too compressed to provide useful rails
• Any situation where the user expects automated entry or exit instructions
🎛️ Key Inputs
• Retest Side → selects Auto, Support Retest, or Resistance Retest.
• Structure Pivot Length → controls how structure rails are confirmed.
• Sensitivity → changes retest-box width and activation behavior.
• Retest Ready Score → sets the minimum score for stronger review states.
• Invalidation Shelf ATR → adjusts the planning invalidation reference.
• Target Guide R Multiple → projects the forward target guide from planning risk.
• Label and Panel Font Size → controls visual readability.
• Panel Location and Theme → adjusts interface placement and style.
🖥️ Interface & Visual Design
The panel is built as a compact planning dashboard with one merged blue AG Pro header row and five decision rows.
The chart visuals are intentionally restrained: one active retest box, centered box text, structure rail, invalidation shelf, target guide, and controlled labels.
The design goal is to make the active retest decision readable without turning the chart into a dense support/resistance map.
🧪 Practical Usage Workflow
1. Read the panel to identify the active structure state.
2. Check whether price is approaching or testing the retest box.
3. Review the retest score and acceptance state.
4. Compare the invalidation shelf and target guide.
5. Use your own broader context before making any decision.
🔍 Interpretation Guidelines
A higher score means the retest is cleaner within the script's rule set. It does not mean price must continue.
Acceptance means the bar closed constructively relative to the rail. Rejection means the rail is not holding cleanly. Invalidation means the planning reference has been crossed and the setup should be reviewed again.
Use the script to organize thinking, not to outsource judgment.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a BOS / CHoCH auto detector
• Not a generic support/resistance zone map
⚠️ Limitations & Transparency
The script uses pivot-based structure, so rails appear only after pivots are confirmed.
Timeframe choice, volatility, liquidity, and symbol behavior can materially change how retests appear.
Fast markets may pass through a rail before the retest can be evaluated cleanly. Sideways markets may create repeated low-quality tests.
🧠 Market Context Notes
Structure retests are easier to interpret when liquidity, trend context, and volatility are aligned.
A clean rail is not enough on its own. The reaction, close location, invalidation distance, and broader environment all matter.
🧾 Use Case Examples
When price returns to a prior support rail and closes back above it with a strong lower wick, the planner may shift from watch to accepted if the score is high enough.
When price tests resistance but closes back below the rail with volatility under control, the planner may mark a cleaner resistance-side review state.
When price closes beyond the invalidation shelf, the planner marks the context as invalidated and the plan should be reset.
🧱 System Philosophy
Structure Retest Planner is part of the AGPro Series decision-engine direction: tools should help traders answer what is valid, how strong it is, where risk is, and what should be reviewed next.
🔐 Non-Promise Statement
No signal from this script guarantees continuation, reversal, or profit.
The output is a structured analytical read, not certainty.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, risk management, and decisions.
This script does not provide financial advice and does not guarantee trading outcomes.
📚 Educational Note
Use the planner to study how structure retests behave across symbols and timeframes, especially how acceptance, rejection, volatility, and invalidation interact.
Indicator
Swing Retest Quality [AGPro Series]Swing Retest Quality
🧠 Core Idea
Is the active swing retest clean enough to treat as valid context, or is the pullback too weak, too deep, or too hard to plan?
📌 Overview / What it does
Swing Retest Quality is a chart-first swing retest planner built to evaluate pullbacks into an active swing leg.
The script maps a focused swing retest pocket, defense line, target-room zone, compact labels, deterministic alerts, and a clean AGPro panel. It converts swing clarity, retest depth, wick rejection, close response, and volume support into a 0-100 Retest Quality score.
It does not predict future price movement, automate entries, print buy/sell commands, or replace broader market context. Its purpose is to help traders judge whether a swing retest has enough structure to deserve attention.
🎯 Purpose & Design Philosophy
This script was built for traders who evaluate pullbacks, retests, and continuation structure but want a more disciplined way to judge retest quality.
Many tools show structure levels or retest markers without answering the practical planning question: is this retest clean, defended, and readable enough to review?
The design philosophy is simple: a retest is not useful just because price touches a level. It becomes useful when the swing reference is clear, the pullback depth is controlled, the response is readable, and risk/target context can be mapped.
⚡ Why This Script Is Different
Most tools focus on support/resistance touches, break-and-retest markers, BOS/CHOCH events, or broad supply/demand zones.
This script does NOT clone Break-Retest Quality, does not require a structure break first, does not map order blocks, does not create a generic S/R zone map, and does not become a broad swing scanner.
Instead, it evaluates one active swing leg and asks whether the pullback into that swing has enough quality to be treated as valid context. The main output is not a trade command. It is a planner state: VALID RETEST, WATCH, DEFENSE REVIEW, LOST, or WAIT.
⚙️ Methodology
1. Context Detection
The script detects confirmed swing highs and lows, then identifies the active bull or bear swing leg.
2. Reference Mapping
It builds a concept-native retest pocket inside the active swing, adds a defense line behind the swing origin, and projects a target-room zone toward the swing terminal.
3. Reaction Evaluation
The model scores swing clarity, retest depth, wick rejection, close response, and optional volume support.
4. Visual Output
The result is displayed through a centered retest pocket, centered target-room zone, defense guide, swing leg, compact labels, alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the retest pocket shows where a pullback into the active swing leg is being evaluated. The target-room zone shows the available room back toward the swing terminal or extension guide.
Labels = compact event labels mark pocket tests, hold retests, watch states, room reviews, and defense-loss events.
Colors = teal marks cleaner bull-side retest context, pink marks bear-side or lost-defense context, amber marks caution/review, and indigo marks watch/transition context.
Panel = the panel summarizes Retest Quality, Swing Side, Defense State, Risk Room, and Action.
🚦 Signals & States
• VALID RETEST → the active swing retest is holding with enough quality and room for review.
• WATCH → the retest context is improving, but confirmation is incomplete.
• DEFENSE REVIEW → price has tested the pocket, but quality, response, or room is not strong enough.
• LOST → price has crossed the defense line and the swing context should be rebuilt.
• WAIT → no active swing retest context is strong enough yet.
🔔 Alerts Logic
Alerts trigger when price touches the swing retest pocket, when a valid swing retest appears, when a watch state appears, when target room becomes limited, and when the defense line is lost.
These alerts are attention markers only. They are not trade instructions, entry signals, or automated strategy commands.
🧩 Confluence Logic
The strongest context appears when a clear swing leg is followed by a controlled retest depth, visible wick rejection, a constructive close response, supportive relative volume, and enough target room relative to the defense line.
When these components align, the Retest Quality score improves and the state can move from WATCH to VALID RETEST.
📊 When to Use
• During pullbacks inside a clear directional swing
• When price is retesting a prior swing leg rather than breaking a new structure level
• When planning continuation context around a readable defense line
• When comparing whether a pullback is clean enough to monitor or too weak to trust
• On liquid symbols where pivots, candles, and volume behavior are readable
⚠️ When NOT to Use
• Very low-liquidity symbols with irregular candles
• Extremely noisy micro-timeframes
• News-driven spikes where swing structure becomes distorted
• Markets where volume is unreliable and should not affect scoring
• Situations where the user expects a signal-only entry tool
🎛️ Key Inputs
• Swing Pivot Length → controls how confirmed swing highs and lows are detected.
• Max Swing Age → controls how long a swing leg remains active.
• Shallow / Deep Pocket Depth → controls the retest pocket inside the swing leg.
• Ideal Retest Depth → defines the preferred pullback depth for stronger scoring.
• Defense Buffer ATR → controls the defense line behind the swing origin.
• Minimum Target Room ATR → defines how much room is preferred before VALID state.
• Label and Panel Font Size → controls chart labels, centered zone text, and panel readability.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The retest pocket gives the main visual story. The defense line defines where the swing context becomes weak. The target-room zone shows whether the pullback still has practical room to evaluate.
The AGPro panel uses a merged blue title row and a compact decision hierarchy so the user can read state, quality, risk, and next action quickly.
🧪 Practical Usage Workflow
1. Read the panel state and Retest Quality score.
2. Check whether price has touched the swing retest pocket.
3. Review the defense line and target-room zone.
4. Evaluate whether the label says HOLD, WATCH, ROOM REVIEW, or DEFENSE LOST.
5. Compare the retest with broader trend, liquidity, volatility, and timeframe context.
🔍 Interpretation Guidelines
Think in terms of retest quality, not prediction.
A stronger score means multiple structural conditions are aligned. A weaker score means the swing may be unclear, the pullback may be too shallow or too deep, the response may be weak, or target room may be limited.
The script helps organize the review process. It does not decide for the user.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not a guaranteed signal tool
• Not a Break-Retest Quality clone
• Not a BOS/CHOCH scanner
• Not a generic support/resistance zone map
• Not a supply/demand, order block, or FVG map
⚠️ Limitations & Transparency
• Pivot-based swing references depend on the selected Swing Pivot Length.
• Scores can vary across symbols, sessions, and timeframes.
• Volume support depends on exchange-provided volume data.
• Fast, news-driven movement can distort retest depth and defense readings.
• In Live Updating mode, active-bar values can change before the bar closes.
🧠 Market Context Notes
Swing retests are most useful when the broader chart has readable structure.
Liquidity, volatility, trend maturity, and higher-timeframe context can all affect whether a retest should be treated as meaningful. The script provides a structured review layer, not a complete trading system.
🧾 Use Case Examples
When a bull swing is clear and price pulls back into the retest pocket, a HOLD RETEST label with a strong score indicates that the pullback response is clean enough to review.
When price touches the pocket but target room is too limited, ROOM REVIEW highlights that the structure may be readable but planning space is constrained.
When price crosses the defense line, DEFENSE LOST indicates that the active swing context should be rebuilt.
🧱 System Philosophy
Swing Retest Quality follows the AGPro decision-engine approach: map the context, score the quality, show the risk reference, show the target room, and summarize the next action without issuing trade commands.
🔐 Non-Promise Statement
No indicator can provide certainty.
The script does not guarantee that a retest will hold, continue, reverse, or produce any specific outcome.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, risk management, and trading decisions.
This script is provided for educational and analytical purposes only and does not constitute financial advice.
📚 Educational Note
Use the script as a structured retest-review framework. The best results come from combining the panel, zones, labels, and alerts with broader chart context and disciplined risk evaluation.
Indicator
Reclaim Breakout Planner [AGPro Series]Reclaim Breakout Planner
🧠 Core Idea
Is a recently broken structural level being lost and reclaimed in a way that creates a valid breakout planning area?
📌 Overview / What it does
Reclaim Breakout Planner is a chart-first breakout planning tool built around structural pivot reclaim behavior. It detects when price breaks beyond a confirmed pivot level, temporarily moves back through that broken level, and then closes back on the breakout side with measurable acceptance quality.
The script produces a 0-100 Acceptance Score, an active Reclaim State, an Acceptance Pocket, a Risk Edge, a Target Corridor, controlled chart labels, and a compact AG Pro panel. The goal is to help traders organize reclaim context after a structural breakout attempt.
This script does not predict price direction, automate trades, or mark every pivot as important. It filters for a specific sequence: structural level break -> temporary level loss -> reclaim close -> planning state.
🎯 Purpose & Design Philosophy
Many breakout tools stop after price crosses a level. Many retest tools treat any return to the level as meaningful. This script was built for the narrower question that often matters after a breakout: did price briefly lose the broken level and then reclaim it with enough quality to deserve attention?
It is designed for traders who want a cleaner decision-support layer around breakout acceptance, not another crowded support/resistance map. The mindset is planning first: evaluate validity, score quality, locate risk, estimate target room, and decide whether the context deserves monitoring.
⚡ Why This Script Is Different
Most tools focus on the breakout candle or the retest touch.
This script does NOT clone VWAP Reclaim Quality, Previous Day Sweep & Reclaim, EMA reclaim maps, session VWAP reaction tools, or a simple breakout retest readiness model.
Instead, it focuses on structural pivot reclaim after a level is briefly lost. The reclaim must come from a confirmed pivot break, a temporary move back through the broken level, and a close back on the breakout side. That creates a distinct reclaim-planning workflow rather than a generic level scanner.
⚙️ Methodology
1. Context Detection
The script identifies confirmed pivot highs and pivot lows as structural levels. These levels are not VWAP, previous-day highs/lows, session anchors, order blocks, or fixed support/resistance zones.
2. Breakout Arming
When price closes beyond a pivot level by an ATR-normalized amount, the planner arms a reclaim watch. A bullish watch begins after a close above resistance. A bearish watch begins after a close below support.
3. Reclaim Evaluation
The script waits for price to temporarily lose the broken level and then close back through it. It scores the event using reclaim close distance, retest depth, volume support, trend alignment, and wick rejection.
4. Visual Output
Accepted reclaims create an Acceptance Pocket, Risk Edge, Target Corridor, event labels, sparse context labels, and panel state. The visuals are designed to stay readable without leaving the chart empty.
🗺️ How to Read the Chart
Acceptance Pocket = the reclaimed structural level area where the breakout side is being tested.
Risk Edge = the failed-side reference beyond the pocket. It is a planning boundary, not a trading instruction.
Target Corridor = a projected review area based on the reclaim risk distance and the selected R multiple.
Labels = compact event and context markers such as Bull Reclaim, Bear Reclaim, Retest Watch, and Failed Reclaim. Target Review labels are optional because the target corridor already marks the review area.
Colors = bullish reclaim context uses teal, bearish reclaim context uses pink, caution/watch states use gold or indigo, and risk/failure context uses red.
Panel = shows Reclaim State, Acceptance Score, Risk Edge, Target Room, and Action.
🚦 Signals & States
• Scan Structure → no active reclaim plan exists yet.
• Bull Retest Watch → price broke above a structural pivot and is waiting for a valid reclaim sequence.
• Bear Retest Watch → price broke below a structural pivot and is waiting for a valid reclaim sequence.
• Acceptance Watch → reclaim exists, but the score is not strong enough for the highest planning state.
• Plan Review → reclaim quality is strong enough to monitor as structured planning context.
• Risk Edge Test → price is testing the failed-side boundary.
• Failed Reclaim → the active reclaim plan closed beyond the risk edge.
• Target Review → price reached the projected target corridor area.
🔔 Alerts Logic
Bullish Reclaim Breakout Plan triggers when a bullish structural reclaim is accepted and the score is above the alert threshold.
Bearish Reclaim Breakout Plan triggers when a bearish structural reclaim is accepted and the score is above the alert threshold.
Reclaim Risk Edge Failed triggers when an active reclaim plan closes beyond the risk edge.
Reclaim Target Corridor Reached triggers when price reaches the projected target corridor.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when a confirmed pivot breakout, temporary level loss, reclaim close, supportive volume, trend alignment, and wick rejection appear together. The score compresses those components into one readable 0-100 Acceptance Score.
📊 When to Use
• After structural breakouts where price returns to the broken level
• During trending or transitioning markets where reclaim behavior matters
• When evaluating whether a breakout level is being accepted after a brief failure
• When a trader needs risk edge and target-room context around a reclaim sequence
⚠️ When NOT to Use
• Very low-liquidity symbols with unreliable volume and erratic candles
• Extremely noisy ranges where pivots form too frequently
• News-driven candles where ATR-normalized structure can be distorted
• Markets where price is far from any meaningful structural pivot
🎛️ Key Inputs
• Reclaim Side → selects Auto, Bullish Only, or Bearish Only.
• Pivot Strength → controls how selective structural levels are.
• Minimum Break Close ATR → defines how far beyond the pivot price must close before a reclaim watch is armed.
• Minimum Level Loss ATR → requires price to temporarily move back through the broken level before reclaim evaluation.
• Acceptance Pocket ATR → controls the visual and logical reclaim pocket size.
• Retest Window Bars → controls how long the reclaim watch remains valid.
• Risk Edge Buffer ATR → adjusts the failed-side planning boundary.
• Target Corridor R Multiple → controls the projected target review area.
• Label and Panel Settings → control chart label density, optional target review labels, font size, panel location, and panel theme.
🖥️ Interface & Visual Design
The interface is intentionally compact. The chart carries the main decision layer through acceptance pockets, risk edges, target corridors, and event labels. The panel acts as a quick readout for state, score, risk, target room, and next action.
The first panel row follows the AGPro style with a merged blue title row. Label density is controlled by cooldown and maximum visible label settings so the chart remains premium and readable.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether the planner is scanning, watching a retest, or showing an accepted reclaim.
3. Inspect the Acceptance Pocket and Risk Edge.
4. Compare the Acceptance Score with the active state.
5. Use the Target Corridor as a review area, not as a guaranteed objective.
🔍 Interpretation Guidelines
A high score means the reclaim sequence is cleaner under the script's rules. It does not mean the market must continue.
A weak score means the reclaim lacks enough acceptance quality, volume support, trend alignment, or wick rejection.
A failed reclaim means the planning structure has weakened and should be re-evaluated in broader market context.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a VWAP reclaim tool
• Not a previous-day sweep reclaim script
• Not a generic support/resistance map
• Not an order block or FVG scanner
⚠️ Limitations & Transparency
Timeframe selection affects pivot behavior. Lower timeframes may create more reclaim sequences, while higher timeframes may produce fewer but more important structural levels.
Volatility can widen pockets and risk edges. During extreme volatility, reclaim signals can appear later or fail faster.
Volume quality may be less reliable on markets where reported volume is synthetic, incomplete, or inconsistent.
🧠 Market Context Notes
Reclaim behavior often matters when a market tests whether a broken level is becoming accepted. A clean reclaim can show that a breakout area is still being defended. A failed reclaim can show that the attempted breakout lost structure.
The script treats that behavior as planning context, not certainty.
🧾 Use Case Examples
When price closes above a pivot high, dips back below the broken level, then closes back above it with rejection wick and supportive volume, the planner may create a bullish reclaim plan.
When price closes below a pivot low, trades back above the broken level, then closes back below it with rejection behavior, the planner may create a bearish reclaim plan.
🧱 System Philosophy
AGPro tools are designed to help traders organize context, not chase isolated signals. This script follows that principle by turning reclaim behavior into a structured planning workflow with score, state, risk edge, target room, and action text.
🔐 Non-Promise Statement
No script can guarantee continuation, reversal, or future price behavior. Reclaim structure can fail, especially in fast, illiquid, or news-driven markets.
📉 Risk Disclosure
Trading involves risk. This script is for educational and analytical use only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users remain responsible for their own decisions.
📚 Educational Note
Use the script to study how reclaimed structural levels behave across symbols, timeframes, and volatility environments. The best use is disciplined observation, comparison, and context building.
Indicator
[ A L P H A X ] Structure Flow ProAlphaX Structure Flow Pro — Market Structure Engine, HPZ Order Blocks, Fair Value Gaps, Liquidity Sweeps, Equal Highs/Lows & SMC Confluence Signals
AlphaX Structure Flow Pro is a professional-grade Smart Money Concepts indicator built on a pivot-driven market structure engine that detects swing highs and lows in real time, identifies Market Structure Breaks with momentum Z-score validation and Body-Confirmed Breaks, discovers and scores Order Blocks using a proprietary High Probability Zone algorithm, maps Fair Value Gaps and Liquidity Sweeps as they form, identifies Equal Highs and Lows as liquidity pools, and synthesizes every active condition into a tiered SMC Confluence Score — all displayed on a live dashboard with 15+ alert conditions. Designed for traders who operate within the institutional Smart Money framework on any liquid instrument and timeframe.
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📸 Visual Overview
Full chart view showing Market Structure swing lines, MSB/BMS labels, HPZ Order Blocks with POC lines, FVG zones, Liquidity Sweep markers, Equal High/Low connections, SMC tiered entry labels, and the live Dashboard panel on XAUUSD
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🔬 The Market Structure Engine — How It Works
At the core of AlphaX Structure Flow Pro is a real-time pivot-based swing detection system that continuously tracks confirmed swing highs and swing lows using a configurable lookback window. Every confirmed pivot is labeled, connected, and used as the structural reference for all break logic downstream.
Each confirmed pivot produces:
A dotted swing line connecting the current and previous swing high or swing low — a live map of whether price is building higher highs and higher lows, or lower highs and lower lows
Small compact H and L labels at every swing point to mark the structural sequence clearly
From these pivots, the engine monitors two distinct types of structural break — each progressively more powerful than the last:
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1 ─ Market Structure Break (MSB)
A confirmed close beyond the last tracked swing high or low, validated by a Momentum Z-Score filter . The Z-Score measures how many standard deviations the current bar's price change sits above or below its 50-bar mean. Only breaks where momentum is statistically significant above your configured threshold are accepted — low-conviction wicks, slow grinds, and false closes through structure are automatically ignored.
When a valid MSB fires:
A horizontal line is drawn from the breached pivot to the current bar, anchored at the exact structural level
An MSB ▲ or MSB ▼ label appears at the midpoint of that line
The breached swing level is reset so the engine never double-fires on the same break
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2 ─ Break of Market Structure (BMS)
A stricter and more powerful structural confirmation. In addition to closing beyond the pivot, BMS requires the breaking candle to have a body-to-range ratio above 50% — the break must be driven by a full-bodied candle, not a wick spike. BMS fires as a compact BMS label when it occurs without a simultaneous MSB, giving you a clear visual distinction between a momentum-confirmed break and a body-confirmed break.
How to read them together:
MSB — momentum is statistically significant but the candle body is below 50% — a valid break, treat it with context
BMS — the candle closed through structure with conviction — higher-probability structural shift
When both fire simultaneously, only the MSB label is shown as it already captures the event
Together, MSB and BMS form the structural backbone from which all Order Block discovery, FVG anchoring, and SMC Confluence scoring is triggered.
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📦 Order Block Engine with HPZ Scoring
Every Market Structure Break triggers an automatic search backward through the preceding candles to identify the originating Order Block — the last candle moving against the direction of the break before price impulsed away. For a bullish MSB the engine finds the last bearish candle within the lookback window. For a bearish MSB it finds the last bullish candle.
Each discovered Order Block is assigned a Quality Score from 0 to 100 built from four independent factors:
Momentum Strength
The absolute magnitude of the Momentum Z-Score at the time of the MSB. Stronger impulsive moves away from the OB produce higher scores — a zone that launched a 3-sigma move ranks far above one that launched a 0.5-sigma drift.
Volume Percentile
The current bar's volume ranked against its last 100 bars using percentile rank. High-volume structural breaks indicate institutional participation — OBs discovered on high-volume breaks score significantly higher.
Candle Body Ratio
The proportion of the breaking candle that is body versus wick. A full-bodied impulsive candle away from the OB signals conviction. A wick-heavy or indecision candle signals a weaker origin.
OB Size Relative to ATR
The Order Block's height measured against the current 14-period ATR. Compact, well-defined OBs close to 1 ATR score proportionally — excessively large or tiny zones are naturally discounted.
These four factors are combined into the final Quality Score displayed on every OB label. Zones that score above your configured HPZ Threshold (default 75%) are promoted to High Probability Zones ⬡ and rendered with a brighter border and a distinct ⬡HPZ badge — the highest-conviction institutional zones on your chart.
HPZ Order Blocks rendered with enhanced borders and ⬡HPZ badge — standard OBs shown with dimmer styling for instant visual hierarchy
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Order Block Management
Active Order Blocks are not static — AlphaX Structure Flow Pro manages every zone dynamically bar by bar:
Live extension — every active, unmitigated OB extends its right edge forward to the current bar automatically, keeping your zones current at all times
Point of Control (POC) line — a dashed line at the exact midpoint of every OB, showing the most important price level within the zone
Mitigation detection — when price trades into the OB (low below OB bottom for bullish, high above OB top for bearish), the zone is marked as mitigated and dimmed to neutral gray
Historical mode — mitigated OBs remain visible on the chart dimmed for reference, letting you study how price reacted after mitigation
Present mode — mitigated OBs are deleted automatically, keeping the chart clean with only live unmitigated zones visible
Extend Broken OBs — optionally continue extending mitigated zones for up to 50 bars after mitigation for post-mitigation analysis
Overlap filtering — optionally hide new OBs that overlap existing active zones, preventing zone clustering in congested areas
OB Reliability tracker — the dashboard shows a live percentage of how many total OBs have been mitigated versus left untouched, giving you a real-time measure of how well price is respecting the zones on your current instrument and timeframe
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📊 Fair Value Gaps (FVG)
AlphaX Structure Flow Pro detects Fair Value Gaps — three-candle imbalances where price moved so fast that the market left an unfilled gap between candle one's high/low and candle three's low/high.
Bullish FVG — candle three's low is above candle one's high — an upward gap in price action that the market may return to fill
Bearish FVG — candle three's high is below candle one's low — a downward gap
A minimum FVG size filter (ATR × your configured factor) prevents micro-gaps from cluttering the chart — only imbalances of meaningful size relative to current volatility are plotted.
Each FVG is drawn as a shaded box that extends forward bar by bar. When price trades back into the gap, the box is marked as filled and dimmed to neutral, stopping its extension. The dashboard tracks how many FVGs remain unfilled at all times, and the SMC Confluence engine uses unfilled FVGs above and below price as draw-on-liquidity targets when scoring entry signals.
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⚡ Liquidity Sweeps
A Liquidity Sweep is one of the most important Smart Money patterns — institutions engineer price to run stop-loss liquidity beyond obvious highs or lows, then reverse sharply. AlphaX Structure Flow Pro identifies these events in real time.
Bullish Sweep — the candle's low breaks below the lowest low of the recent lookback window but the candle closes back above that level as a bullish close. Stops below recent lows were hunted, liquidity was absorbed, and price reversed upward.
Bearish Sweep — the candle's high breaks above the highest high of the recent lookback window but the candle closes back below that level as a bearish close. Stops above recent highs were hunted.
Each sweep is marked with a compact ⚡ label at the wick extreme. Sweeps feed directly into the SMC Confluence scoring system — a bullish sweep adds 20 points to the Bull SMC Score because it signals smart money accumulation, and a bearish sweep adds 20 points to the Bear SMC Score for the same reason in reverse.
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〰 Equal Highs and Equal Lows (EQH / EQL)
Equal Highs and Equal Lows are areas where price has printed two swing highs or two swing lows at nearly the same level — these levels represent clusters of resting stop-loss orders and are prime targets for institutional liquidity sweeps.
AlphaX Structure Flow Pro detects EQH and EQL automatically by comparing consecutive confirmed pivots. When two swing highs are within your configured ATR-scaled tolerance of each other, an EQH label and dotted connection line are drawn. When two swing lows match, an EQL label appears.
The ATR-scaled tolerance ensures the detection adapts to current market volatility — what counts as "equal" on a calm Asian session is different from a high-volatility London open, and the indicator adjusts automatically.
Equal Highs and Equal Lows marked with purple dotted lines — clear visual identification of stop-hunt targets above and below current price
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🧠 SMC Confluence Scoring System
Every signal in AlphaX Structure Flow Pro feeds into a real-time SMC Confluence Engine that evaluates all active conditions simultaneously and produces a score from 0 to 100 for both the bullish and bearish side. Only scores that meet your configured minimum threshold generate a visible entry label — weak, ambiguous, or isolated setups never reach the chart.
Bull SMC Score Factors:
Market Structure Break (30 points) — an MSB bull fires adds 30 points as the core structural trigger. A BMS bull without simultaneous MSB adds 20 points.
Liquidity Sweep (20 points) — a bullish sweep on the current bar adds 20 points — smart money has absorbed sell-side liquidity
Near Bullish HPZ Order Blocks (up to 18 points) — two or more unmitigated bullish HPZ OBs within 2 ATR of price adds 18 points. One HPZ OB nearby adds 10 points.
Bearish FVG Draw on Liquidity (up to 10 points) — two or more unfilled bearish FVGs above price (magnets drawing price upward) adds 10 points. One adds 5 points.
Momentum Z-Score confirmation (up to 12 points) — strong upward momentum (Z > 2.0) adds 12 points. Moderate (Z > 1.0) adds 7. Mild (Z > 0.5) adds 3.
Volume ratio (up to 8 points) — volume spike (×2.0) adds 8, high volume (×1.3) adds 5, above average (×1.0) adds 2
Candle body (up to 6 points) — a bullish close with body ratio above 60% adds 6 points. Any bullish close adds 3.
Penalties — strong downward momentum (Z < −1.0) deducts 10 points. Two or more nearby bearish HPZ OBs deduct 8 points.
Bear SMC Score Factors are the exact mirror of the above, applied in reverse for all bearish conditions.
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Signal Tiers and Entry Labels
Every signal that clears the minimum SMC score threshold is classified into one of three tiers based on its final score:
S-Tier — score ≥ 70. Maximum confluence. All major factors aligned. The highest-confidence setups the engine produces.
A-Tier — score 55–69. Strong confluence with most major factors present.
B-Tier — score at or above your minimum threshold but below 55. Valid setup with meaningful confluence but fewer confirming factors.
Entry labels appear directly on the chart with the tier and score displayed:
▲ S-SMC (82) — bullish S-tier signal with a score of 82
▼ A-SMC (61) — bearish A-tier signal with a score of 61
Label color intensity reflects the tier — S-tier labels use the brightest bull or bear color, A-tier uses the primary color, B-tier uses the dimmed shade. This gives you instant visual priority — your eyes go to the brightest labels first.
A configurable Signal Cooldown prevents back-to-back signals within a set number of bars, eliminating label spam during fast-moving structural events.
S-tier and A-tier entry labels appearing below bars during bullish SMC confluence — label brightness reflects confidence tier at a glance
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🗓 Session Ranges
AlphaX Structure Flow Pro includes a full Session Range overlay for the four major trading sessions — London, New York, Tokyo, and Sydney — each independently toggleable with customizable colors and time windows.
Session boxes draw in real time as the session opens, expanding their high and low dynamically as price prints new extremes within the session. The session label updates its position to stay centered above the range. Each session closes when its time window ends, leaving the completed range as a permanent reference box for that period.
Use session ranges to:
Identify the high and low of a session as key liquidity targets for sweeps
Determine whether an MSB or OB formation occurred during a high-liquidity or low-liquidity window
Spot the London or New York open as a structural break origin
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📊 Live Dashboard
The AlphaX Structure Flow Pro dashboard gives you a complete real-time readout of every active market condition in a compact panel — no need to visually scan the chart for each element individually.
Market Structure section:
MSB STATUS — shows whether a Bull MSB, Bear MSB, or no MSB is active on the current bar
BMS (BODY) — shows whether a body-confirmed structural break is active
MOMENTUM Z — current Z-score reading with direction label (STRONG / MODERATE / MILD / FLAT) and raw value
Order Blocks section:
ACTIVE OBs — total count of unmitigated Order Blocks currently on the chart
HPZ OBs — count of active High Probability Zone OBs, highlighted when any are present
OB RELIABILITY — live percentage of total OBs that have been mitigated since the indicator started tracking — your real-time measure of how well structure is being respected
Liquidity & Imbalance section:
LIQ SWEEP — shows whether a Bull or Bear liquidity sweep is active on the current bar
OPEN FVGs — count of unfilled Fair Value Gaps currently active
DRAW ON LIQ — shows whether price has unfilled FVGs drawing it upward, downward, or on both sides
SMC Confluence section:
BULL SMC SCORE — current bullish confluence score with tier label (S-TIER / A-TIER / B-TIER / LOW)
BEAR SMC SCORE — current bearish confluence score with tier label
HPZ PROXIMITY — shows whether price is near a Bull HPZ zone, Bear HPZ zone, both sides, or neither
Market Conditions section:
VOLUME — current volume classified as SPIKE / HIGH / NORMAL / DRY with the live ×ratio
ATR (14) — current 14-period ATR value in price terms
CANDLE BODY — current candle body ratio classified as STRONG / MODERATE / WEAK with percentage
Active Signal section:
SIGNAL — shows the active entry signal direction and tier, or NONE — the single most important row if you need a quick status check
Dashboard position (Top Left / Top Right / Bottom Left / Bottom Right) and text size (Tiny / Small / Normal / Large) are fully configurable.
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⚠ Identifying Low-Quality Conditions — When NOT to Trade
Knowing when to stay out is just as important as knowing when to enter. AlphaX Structure Flow Pro gives you clear signals that the market is not in a tradeable condition:
How to identify unfavorable conditions:
No MSB or BMS on the dashboard — if the MSB STATUS row shows NONE, there is no confirmed structural trigger. No structural break means no Order Block discovery, and no SMC signals should be acted on.
Bull and Bear SMC Scores both show LOW — when neither side can build enough confluence to reach even B-tier, the market is either ranging, choppy, or lacking institutional participation. Wait for a clear dominant side to emerge.
OB RELIABILITY is very high (above 80–90%) — when nearly every OB is being quickly mitigated, price is not respecting structure and the market is in a sweep-and-reverse or noise regime. Reduce position size or stand aside.
No SMC entry labels appearing — the confluence engine is running on every bar. If no labels are printing even after MSB events, the filters are doing their job blocking low-quality setups. Do not lower the threshold to force signals — wait for real confluence.
DRAW ON LIQ shows BOTH SIDES — unfilled FVGs above and below simultaneously means price is in the middle of a contested range with equal magnets in both directions. No clean directional edge exists.
MOMENTUM Z reads FLAT on the dashboard — flat momentum at a structural level often means a failed break rather than a true MSB. Treat these events with extra caution.
What to do during unfavorable conditions:
Wait for a clean MSB or BMS to set the directional bias before considering any entry
Look for one dominant side in the SMC Confluence section — both Bull and Bear scores being low simultaneously is a ranging signal
Watch for a liquidity sweep followed immediately by an MSB in the same direction — that sequence is one of the highest-probability SMC setups and will produce a strong confluence score when it fires
Consider switching to a higher timeframe to find cleaner structure — if the current timeframe is printing rapid alternating MSBs, the higher timeframe trend will show you the dominant direction
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🚀 How to Trade with AlphaX Structure Flow Pro — Step by Step
Step 1 — Read the Dashboard
Check MSB STATUS and BMS — is there a live structural break?
Check Bull and Bear SMC Scores — is one side clearly dominant with a B-tier or higher score?
Check DRAW ON LIQ — are unfilled FVGs pulling price in one clear direction?
If no clear dominant side and no MSB → do not trade. Wait for structure.
Step 2 — Identify the Structural Trigger
An MSB ▲ or BMS bull sets your bullish directional bias
An MSB ▼ or BMS bear sets your bearish directional bias
Do not enter blindly on the MSB label alone — use it to set context, then wait for a tiered SMC signal to confirm
Step 3 — Enter on a Tiered SMC Signal
Wait for a ▲ SMC or ▼ SMC label to appear with a tier of B or higher
Prioritize S-tier and A-tier signals — these have the most factors aligned
Check that an unmitigated HPZ Order Block is nearby in the direction of the trade — HPZ proximity is displayed on the dashboard in real time
Place your stop loss beyond the most recent swing low (for longs) or swing high (for shorts), or just beyond the relevant OB's outer edge
Step 4 — Use FVGs and OBs as Targets and Re-Entry Zones
Unfilled FVGs in the direction of the trade are natural draw-on-liquidity targets — they show you where price is likely being pulled toward
Mitigated OBs (shown dimmed in Historical mode) mark areas where price has already visited and absorbed — useful as reference for prior institutional activity
If price pulls back into an unmitigated bullish OB without triggering a new bearish MSB, that is a potential re-entry zone aligned with the original structural break
Step 5 — Monitor for Structural Invalidation
If an opposing MSB fires after your entry, the structure has shifted — close or reduce your position
If the SMC Score for your trade direction drops to LOW on the dashboard without a new signal, momentum is fading
A liquidity sweep against your position that does not produce a reversal SMC signal is a warning — tighten your stop
Step 6 — Watch for Equal Highs/Lows as Exit Targets
EQH levels above price during a bull trade are natural exit zones — institutions often sweep equal highs as final liquidity grabs before reversal
EQL levels below price during a bear trade serve the same purpose
Consider taking partial profit as price approaches an EQH or EQL level, then hold the remainder for a potential sweep and continuation
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⚡ Key Features
🔬 Pivot-based market structure engine with configurable swing lookback — tracks confirmed swing highs and lows in real time
📈 MSB detection with Momentum Z-Score validation — filters out low-conviction structural breaks statistically
💪 BMS detection with candle body ratio confirmation — only full-bodied closes through structure qualify
📦 Order Block discovery anchored to every MSB — automatically finds the originating institutional candle
⬡ Proprietary HPZ Quality Score (0–100) — four-factor scoring system promotes the highest-conviction zones to High Probability Zone status
📍 Point of Control line on every Order Block — shows the midpoint of the zone for precision entries
🔄 Dynamic OB management — live extension, mitigation detection, Historical and Present display modes, overlap filtering, and broken OB extension
📊 Fair Value Gap detection with ATR-scaled minimum size filter — bullish and bearish imbalances mapped and tracked until filled
⚡ Liquidity Sweep detection — wick-beyond plus close-inside logic identifies institutional stop hunts in real time
〰 Equal Highs and Equal Lows detection with ATR-scaled tolerance — automatic identification of resting liquidity pools
🧠 Multi-factor SMC Confluence Scoring Engine — synthesizes structure, sweeps, HPZ OBs, FVG draw, momentum, volume, and candle body into a single 0–100 score per side
🏆 Three-tier signal classification — S-Tier (≥70), A-Tier (55–69), B-Tier (threshold to 54) with color-coded label intensity
⏱ Signal cooldown timer — configurable minimum bars between signals to eliminate label spam
✅ Optional volume confirmation filter — require minimum volume ratio before any signal fires
🗓 Four-session range overlay — London, New York, Tokyo, and Sydney each independently toggleable with custom colors and time windows
📋 Live 7-section dashboard — MSB/BMS status, momentum Z, OB counts, HPZ proximity, FVG draw direction, SMC scores, volume, ATR, and active signal — all in one panel
🎨 Fully customizable color theme — 13 configurable colors covering bull, bear, neutral, FVG, sweep, EQL, and dashboard elements
🔔 15+ alert conditions — MSB bull/bear, BMS bull/bear, S/A/B-tier bull signals, S/A/B-tier bear signals, any SMC signal, bull/bear sweeps, bull/bear FVGs, and MSB + HPZ confluence alerts
⚙ Fully configurable — every lookback, threshold, score, toggle, color, and session window adjustable from the settings panel
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⚙ Settings Reference
Market Structure
Pivot Lookback — bars on each side required to confirm a swing high or low (default: 7, range: 3–21)
MSB Momentum Z-Score — minimum standard deviation threshold for a valid Market Structure Break (default: 0.5)
Show MSB Lines & Labels — toggle visibility of MSB/BMS lines and labels
Show Structure Swings — toggle visibility of swing lines and H/L pivot labels
Detect Break of Market Structure (BMS) — enable or disable body-confirmed structural break detection
Order Blocks
Max Active OBs — maximum number of unmitigated Order Blocks kept on the chart at once (default: 10)
OB Lookback (candles) — how many candles back the engine searches for the originating OB after an MSB (default: 10)
Extend Broken OBs — continue extending mitigated OBs for up to 50 bars after mitigation
Hide Overlapping OBs — skip new OBs that overlap existing active zones
Display Mode — Historical (keep mitigated OBs dimmed) or Present (delete mitigated OBs automatically)
HPZ Threshold Score (%) — minimum quality score required for HPZ promotion (default: 75%)
Show OB Point of Control — toggle the midpoint POC dashed line on Order Blocks
Liquidity & Imbalance
Show Fair Value Gaps — toggle FVG detection and display
Min FVG Size (ATR × factor) — minimum gap size as a multiple of ATR to qualify as a valid FVG (default: 0.05)
Show Liquidity Sweeps — toggle sweep detection and ⚡ markers
Sweep Lookback (bars) — lookback window for determining the recent high/low that is swept (default: 20)
Show Equal Highs / Lows — toggle EQH and EQL detection and display
EQL Tolerance (ATR × factor) — how close two pivots must be to qualify as equal, scaled to ATR (default: 0.1)
Smart Money Confluence (SMC)
Enable SMC Confluence Engine — master toggle for the scoring system and all entry labels
Min SMC Score to Signal — minimum confluence score required to display an entry label (default: 30)
Signal Cooldown (bars) — minimum bars between consecutive signals in the same direction (default: 3)
Require Volume Confirmation — only fire signals when volume ratio meets the minimum threshold
Min Volume Ratio — minimum volume-to-SMA ratio required when volume filter is enabled (default: 0.7)
Sessions
Show Session Ranges — master toggle for the session overlay
London / New York / Tokyo / Sydney — independently toggle each session with configurable time window and color
Dashboard
Show Dashboard — toggle the dashboard panel on or off
Position — Top Left / Top Right / Bottom Left / Bottom Right
Size — Tiny / Small / Normal / Large
Appearance
Label Size — controls the size of all MSB, BMS, sweep, EQH/EQL, and entry labels (Tiny / Small / Normal)
Colors
Bull Primary / Bright / Dim — three shades of the bullish color family for OBs, labels, and signals
Bear Primary / Bright / Dim — three shades of the bearish color family
Neutral / Neutral Light — colors for mitigated zones and inactive states
Text Light — color for dashboard row labels
Dashboard Background — background color of the dashboard panel
FVG Bull / Bear Color — colors for bullish and bearish Fair Value Gap zones
Liquidity Sweep Color — color for sweep ⚡ labels
Equal Hi/Lo Color — color for EQH and EQL lines and labels
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🔔 Alert Conditions
Bull Market Structure Break — fires on every bullish MSB
Bear Market Structure Break — fires on every bearish MSB
Bull Break of Market Structure (Body Close) — fires on every bullish BMS
Bear Break of Market Structure (Body Close) — fires on every bearish BMS
S-Tier Bull SMC Signal — bullish signal with score ≥ 70
A-Tier Bull SMC Signal — bullish signal with score 55–69
B-Tier Bull SMC Signal — bullish signal below 55 but above minimum threshold
S-Tier Bear SMC Signal — bearish signal with score ≥ 70
A-Tier Bear SMC Signal — bearish signal with score 55–69
B-Tier Bear SMC Signal — bearish signal below 55 but above minimum threshold
Any SMC Signal — fires on any bullish or bearish signal regardless of tier
Bull Liquidity Sweep — wick below recent lows with bullish close
Bear Liquidity Sweep — wick above recent highs with bearish close
Bullish Fair Value Gap — new bullish FVG formed
Bearish Fair Value Gap — new bearish FVG formed
Bull MSB + HPZ Confluence — bullish MSB with at least one nearby unmitigated HPZ OB
Bear MSB + HPZ Confluence — bearish MSB with at least one nearby unmitigated HPZ OB
All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook and bot integration.
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🎯 Recommended Settings by Use Case
The default configuration is tuned for intraday trading on liquid instruments including XAUUSD, forex majors, and indices on M1 to M15 timeframes.
For tighter, higher-conviction signals:
Increase Min SMC Score to 45–55 — only S-tier and strong A-tier setups fire
Enable Require Volume Confirmation and set Min Volume Ratio to 1.0–1.3
Increase Pivot Lookback to 9–12 for larger, more significant swing points
Set HPZ Threshold to 80% to tighten HPZ qualification
For more signals and aggressive scalping:
Reduce Min SMC Score to 20–25
Reduce Signal Cooldown to 1–2 bars
Reduce Pivot Lookback to 3–5 for faster swing detection
Keep Volume Confirmation off
For higher timeframes (H1, H4, Daily):
Increase Pivot Lookback to 10–15
Increase OB Lookback to 15–20
Increase Min SMC Score to 40–50
Increase Sweep Lookback to 30–50
For ranging or news-driven markets:
Enable Hide Overlapping OBs to reduce zone clutter
Switch Display Mode to Present to keep only live zones visible
Monitor DRAW ON LIQ on the dashboard — if both sides show FVGs, avoid directional trades
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👥 Who This Is For
🥇 Smart Money Concepts traders — built specifically around the MSB → OB → FVG → Sweep framework that institutional-style traders use
📉 Forex and Gold traders — fully applicable to XAUUSD, forex majors and minors, and all liquid currency pairs
📊 Index traders — works on US30, NAS100, SPX500, DAX, and all major equity indices
🧠 Systematic and rule-based traders — the confluence scoring system provides a quantitative, objective framework rather than purely subjective visual reads
📈 Traders who want one complete SMC system — structure, OBs, FVGs, sweeps, EQH/EQL, sessions, scoring, and dashboard in a single indicator rather than layering five separate tools
⚠ Traders who struggle with overtrading — the minimum score filter, cooldown, and volume gate physically prevent low-quality signals from reaching the chart
🔔 Alert-driven traders and bot operators — 17 alert conditions with clean webhook-ready message formatting cover every meaningful event the indicator can detect
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📝 Notes
Session range features use the time zone of each configured session string — set your London and New York session times to match your chart's time zone if ranges appear offset
The Momentum Z-Score is calculated over a 50-bar rolling window — on very short histories or immediately after a chart loads, early bars may have lower Z-Score values until the window fills
OB Reliability percentage starts from zero when the indicator first loads and builds over time as OBs are discovered and mitigated — it is most meaningful after a full session of price action
The SMC Confluence Engine evaluates conditions on bar close — all signals are non-repainting and confirmed on the closed bar
With max_boxes_count, max_lines_count, and max_labels_count each set to 500 and max_bars_back at 500, on very low timeframes with extended chart history the oldest visual elements may be automatically removed by PulseWire's rendering limits — this is a platform constraint, not an indicator limitation
The HPZ proximity check uses a 2 ATR radius around the current close price — zones further away than 2 ATR are not counted in the SMC score even if they are unmitigated and visible on the chart
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who demand structure, confluence, and precision from their Smart Money analysis. Indicator
Invalidation Quality Planner [AGPro Series]Invalidation Quality Planner
🧠 Core Idea
Is the active invalidation shelf meaningful enough to build a plan around, or is it fragile, distant, weak, or already violated?
📌 Overview / What it does
Invalidation Quality Planner is a chart-first risk planning tool designed to evaluate the quality of the level that would invalidate a setup idea.
Instead of drawing generic support/resistance zones or printing buy/sell signals, the script studies one active invalidation shelf and converts its structure into a 0-100 quality score. It measures swing clarity, defended reactions, prior violations, wick pressure, volatility buffer, forward room, and violation risk.
The output is a focused planning workflow: an invalidation shelf zone, shelf and violation guides, forward-room reference, compact event labels, alerts, and a clean AGPro decision panel. It does not predict future price movement, automate decisions, or guarantee that any shelf will hold.
🎯 Purpose & Design Philosophy
This script was built for traders who want to judge whether their risk reference is structurally meaningful before relying on it.
Many tools show entries, targets, support/resistance zones, or stop distances. This tool focuses on the deeper planning question: is the invalidation level itself strong enough to deserve trust?
The design supports a disciplined setup-review mindset. It helps users separate a clean invalidation shelf from a weak, noisy, overextended, or already violated one.
⚡ Why This Script Is Different
Most tools focus on signals, stop-loss placement, support/resistance mapping, or risk/reward drawings.
This script does NOT become a generic S/R zone map, a stop-loss optimizer, a position-size calculator, a target ladder, or an entry signal tool.
Instead, it evaluates the quality of the invalidation reference. The core output is not a trade command. It is a planning state that helps users decide whether the current shelf is VALID, on WATCH, FRAGILE, DISTANT, DEFENDED, WEAK, or VIOLATED.
⚙️ Methodology
1. Context Detection
The script detects the active planning side using trend context and range location, or allows the user to force long-context or short-context evaluation.
2. Reference Mapping
It maps the active invalidation shelf from confirmed swing pivots, with a fallback structure reference when no fresh pivot is available.
3. Reaction Evaluation
The model scores swing clarity, defended shelf reactions, clean history, wick pressure, ATR-normalized shelf distance, volatility context, violation risk, and forward room.
4. Visual Output
The output is shown through an invalidation shelf zone, violation guide, forward-room guide, compact labels, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the active invalidation shelf used by the planner. It is a risk reference, not a generic support/resistance zone.
Labels = compact state markers showing VALID, WATCH, DEFENDED, FRAGILE, DISTANT, WEAK, or VIOLATED context.
Colors = teal marks cleaner planning context, pink marks violation or weak context, amber marks caution, and indigo marks watch/transition context.
Panel = the panel summarizes Invalidation Quality, Distance, Structure Support, Violation Risk, and Action.
🚦 Signals & States
• VALID → the active invalidation shelf has enough structure and quality to deserve review.
• WATCH → the shelf is improving but not clean enough for VALID state.
• DEFENDED → price tested the shelf and closed back in favor of the active planning side.
• FRAGILE → price is too close to the shelf, making normal noise more important.
• DISTANT → the shelf is too far from price for clean planning context.
• WEAK → the shelf lacks enough structure, reaction memory, or clean history.
• VIOLATED → price crossed the active violation guide and the context should be rebuilt.
🔔 Alerts Logic
Alerts trigger when the planner enters VALID state, enters WATCH state, detects a defended shelf reaction, marks a weak/fragile/distant shelf, or detects a shelf violation.
These alerts are attention markers. They are not trade instructions, entry signals, exit commands, or automated strategy actions.
🧩 Confluence Logic
The strongest invalidation context appears when swing clarity, defended reactions, clean violation history, controlled wick pressure, balanced ATR distance, and sufficient forward room align.
When those factors align, the quality score rises and the panel can move from WATCH to VALID. If the shelf becomes too close, too distant, noisy, or violated, the state downgrades.
📊 When to Use
• Before evaluating a discretionary setup
• During pullbacks where a structural invalidation shelf is forming
• Around continuation setups where risk needs a clean reference
• Before breakout or reclaim attempts where the failure point matters
• When comparing whether one setup has a cleaner invalidation reference than another
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy micro-timeframes with unstable wicks
• News-driven volatility spikes
• Markets where recent structure is distorted and no useful invalidation shelf exists
• Situations where the user expects a signal-only entry tool
🎛️ Key Inputs
• Planning Side → controls Auto, Long Context, or Short Context evaluation.
• Shelf Pivot Left / Right → controls how strict the confirmed swing shelf detection is.
• Shelf Fallback Lookback → defines the backup structure reference when no fresh pivot exists.
• Reaction Memory Lookback → controls how far back defended reactions and violations are counted.
• Shelf Zone Buffer ATR → controls the width of the invalidation shelf zone.
• Violation Buffer ATR → controls when price is treated as crossing beyond the shelf.
• VALID / WATCH Thresholds → adjust how selective the planner is.
• Visual settings → control shelf zones, guide lines, memory zones, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built around one primary chart object: the invalidation shelf zone.
The panel follows the AGPro public-release standard with one merged blue header row containing only the script name. The layout keeps the key planning information readable without turning the script into a dashboard-heavy overlay.
Labels are compact, offset away from candles, and controlled with cooldown and maximum-visible settings.
🧪 Practical Usage Workflow
1. Read the panel Invalidation Quality and Action state.
2. Check whether price is respecting, approaching, or violating the shelf zone.
3. Review the Distance row to see whether the shelf is balanced, fragile, or distant.
4. Compare Structure Support with Violation Risk.
5. Treat alerts as review prompts and confirm the broader market context before making any decision.
🔍 Interpretation Guidelines
A higher score means the planner sees stronger alignment between shelf structure, reaction memory, clean history, distance quality, violation risk, and forward room.
VALID does not mean a trade must be taken. It means the invalidation shelf is meaningful enough to deserve attention.
WATCH means the shelf may be developing but still needs stronger evidence.
FRAGILE, DISTANT, WEAK, and VIOLATED are caution states that help users avoid building a plan around a poor invalidation reference.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a generic support/resistance mapper
• Not a stop-loss optimizer
• Not a position sizing calculator
• Not a take-profit planner
⚠️ Limitations & Transparency
Pivot-based shelves are confirmed after the selected pivot strength completes, so the script is intentionally reactive rather than predictive.
Different timeframes can create different shelf references, reaction counts, and violation-risk readings.
Volatility changes can alter ATR-normalized distance, shelf width, and forward-room conditions.
The script is rule-based and should be interpreted as an analytical planning layer, not as certainty.
🧠 Market Context Notes
Invalidation quality is not only about distance. A shelf can be close but meaningful, distant but inefficient, or visually obvious but already weakened by violations.
The planner is most useful when it helps the user ask better questions before trusting a setup idea.
🧾 Use Case Examples
When price pulls back toward a clean swing shelf, defends it, and still has enough forward room, the planner may show DEFENDED or VALID context.
When price is sitting directly on the shelf with heavy wick pressure, the planner may mark FRAGILE even if the level looks visually interesting.
When price crosses beyond the violation guide, the planner marks VIOLATED so the old risk reference is not treated as still clean.
🧱 System Philosophy
Invalidation Quality Planner follows the AGPro Series decision-engine approach:
Context first.
Risk reference before target.
Structure before signal.
Attention markers instead of promises.
🔐 Non-Promise Statement
No indicator can remove uncertainty.
No state, score, label, alert, or visual zone should be interpreted as guaranteed market direction.
📉 Risk Disclosure
Trading involves risk.
All decisions remain the responsibility of the user.
This script is for educational and analytical chart review only and does not provide financial advice.
📚 Educational Note
Use the tool to study how invalidation references form, defend, weaken, or fail across different market conditions.
Indicator
Trailing Stop Quality [AGPro Series]Trailing Stop Quality
🧠 Core Idea
Is the current trailing reference defending the move cleanly, or is it creating noise that deserves a risk review?
📌 Overview / What it does
Trailing Stop Quality is a trade-management planner built for traders who want more context around active trailing stops, defense rails, and risk-shift conditions.
The script compares a swing defense rail with a volatility defense rail, evaluates trend-defense quality, measures pullback depth, checks volatility expansion, and converts the result into a 0-100 trailing stop quality score.
It produces trail rails, a centered risk-shift zone, a target-room guide, compact state labels, alerts, and a clean AGPro panel. It does not predict price direction, automate trading, or tell users what to buy or sell.
🎯 Purpose & Design Philosophy
Many trailing stop tools show a stop line, but they do not explain whether the current trail is structurally clean, too close to noise, too loose, or in conflict with another management reference.
This script was built to fill that gap.
It helps traders who already have a move in progress and want to evaluate whether the active trail is still defending the move with enough quality to keep monitoring.
The design philosophy is simple: manage context before reacting to the line.
⚡ Why This Script Is Different
Most tools focus on plotting a trailing stop line, flipping side, or marking stop transitions.
This script does NOT clone a Chandelier Exit flip-zone tool, does not act as a stop-loss optimizer, and does not print direct trade commands.
Instead, it scores the quality of the current trail using swing defense, volatility defense, trend slope, pullback depth, volatility expansion, and rail conflict. The result is a management-readiness layer, not another raw stop signal.
⚙️ Methodology
1. Context Detection
The script reads the active management side automatically or lets the user force long-side or short-side evaluation.
2. Reference Mapping
It maps two trail references: a swing defense rail and a volatility defense rail. The tighter reference becomes the active defense rail.
3. Reaction Evaluation
It scores whether the active trail is balanced, too near, too loose, conflicted, or already broken.
4. Visual Output
It displays the active defense rail, swing rail, volatility rail, risk-shift zone, target guide, compact labels, alerts, and AGPro panel state.
🗺️ How to Read the Chart
Zones = the risk-shift zone shows the gap between the swing defense rail and volatility defense rail. Its centered label summarizes the active conflict or quiet state.
Labels = labels mark TRAIL HOLDS, RISK SHIFT, MONITOR, NOISE, ROOM LIMITED, or DEFENSE LOST contexts.
Colors = green highlights clean defense, pink highlights lost defense, amber highlights risk review, and indigo highlights monitor context.
Panel = the panel summarizes Trail Quality, Stop Distance, Trend Defense, Risk Shift, and Action.
🚦 Signals & States
• TRAIL HOLDS → the active trail is defending cleanly with enough score and no major risk-shift conflict.
• RISK SHIFT → price is close to the active rail or swing and volatility rails disagree enough to deserve review.
• MONITOR → trail quality is acceptable but not strong enough for a clean defense state.
• NOISE → the current trail reference is low quality or too unstable.
• ROOM LIMITED → forward room is limited relative to the active trail risk.
• DEFENSE LOST → price crossed the active defense rail and the current trail context should be reviewed.
🔔 Alerts Logic
Alerts trigger when the script detects a clean trail-hold state, risk-shift state, monitor state, noisy trail state, defense-loss event, or limited target-room condition.
Alerts are attention markers only.
They are not trade instructions and should be interpreted within broader market context.
🧩 Confluence Logic
The strongest context appears when swing defense and volatility defense are aligned, the active trail distance is balanced, trend slope supports the management side, pullback depth is controlled, and volatility is expanding without becoming chaotic.
When those conditions align, the 0-100 trail quality score improves.
📊 When to Use
• During active trend-following management
• After a move has already started and trailing references matter
• When comparing swing-based trail behavior with volatility-based defense
• During pullbacks where the trail may be too close to price
• When evaluating whether a move still has reasonable room before the next structure edge
⚠️ When NOT to Use
• Very low-liquidity symbols with erratic wick behavior
• Extremely noisy chop where no stable management side exists
• Event-driven spikes where volatility changes too quickly
• Charts where the user wants entry signals instead of trail-quality context
🎛️ Key Inputs
• Management Side → controls Auto, Long Management, or Short Management mode.
• Swing Trail Lookback → controls the structural defense rail.
• Volatility Rail Multiple → controls the ATR-based volatility defense rail.
• Sensitivity → adjusts how strict the trail-quality scoring model is.
• Minimum Clean Score → defines when the trail can qualify as a clean defense state.
• Target Guide R Multiple → sets the forward planning reference used for target-room context.
• Visual settings → control rails, risk-shift zone, target guide, labels, panel location, panel theme, and font sizes.
🖥️ Interface & Visual Design
The interface is intentionally chart-first.
The rails show the actual management references, the zone shows swing-versus-volatility conflict, and the panel gives a fast decision read without turning the script into a crowded dashboard.
The AGPro panel uses a single merged blue header row and keeps the key state visible at a glance.
🧪 Practical Usage Workflow
1. Read the panel Trail Quality state.
2. Check whether the active defense rail is still below price in long management or above price in short management.
3. Review the risk-shift zone to see whether swing and volatility references agree.
4. Check whether the target guide still has reasonable forward room.
5. Use the label state as an attention marker, then confirm with broader structure and market context.
🔍 Interpretation Guidelines
Think of the output as trail-quality context, not a trade signal.
A high score means the active trail is better aligned with structure, volatility, trend defense, and pullback depth.
A low score means the current trailing reference may be too noisy, too close, too loose, or already losing defensive value.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a Chandelier Exit clone
• Not a stop-loss optimizer
• Not a buy or sell signal tool
⚠️ Limitations & Transparency
Trailing stop quality can change quickly when volatility expands, contracts, or when price moves into noisy pullback conditions.
Different timeframes may produce different trail rails and score behavior.
Fast markets, low liquidity, and abnormal wick behavior can reduce the usefulness of any rule-based trail-quality model.
🧠 Market Context Notes
Trail quality is not only about distance from price.
It also depends on whether structure is still defending the move, whether volatility is stable enough to support the rail, and whether the next target area leaves enough room relative to current trail risk.
🧾 Use Case Examples
When price trends higher and both swing defense and volatility defense remain below price with a strong score, the script may mark TRAIL HOLDS.
When price compresses toward the active trail or swing and volatility rails separate too much, the script may mark RISK SHIFT.
When price crosses the active defense rail, the script may mark DEFENSE LOST so the user can review the management context.
🧱 System Philosophy
Trailing Stop Quality belongs to the AGPro planner-style family: tools designed to help traders evaluate context before decisions, rather than simply adding another signal to the chart.
🔐 Non-Promise Statement
No output from this script guarantees a result.
No score represents certainty.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, and risk management.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The goal is to make trailing stop context easier to inspect by separating clean defense, risk shift, noisy trails, limited room, and lost defense states.
Indicator
Weekly Open Reaction Map [AGPro Series]Weekly Open Reaction Map
🔹 OVERVIEW
Weekly Open Reaction Map is a focused weekly open overlay built for traders who use the current weekly open as a higher-timeframe anchor.
The weekly open is one of the simplest and most widely watched reference levels on a chart. Many traders mark it manually, but a plain horizontal line does not show whether price is accepting above it, losing it, reclaiming it, or repeatedly reacting through the same area. This script turns the weekly open into a structured reaction map.
The script plots the current weekly open, builds an adaptive reaction band around it, detects accepted behavior above or below the level, marks selective reclaim and loss events, and summarizes the active state in a compact dashboard.
The goal is clarity:
How is price reacting around the current weekly open?
This is not a broad level engine. It is not a full weekly range dashboard. It is not a prior high or prior low tool. It is not a session-open model. It is a single-anchor weekly open reaction framework designed to keep the chart clean while adding practical context.
🔹 WHAT MAKES IT DIFFERENT
Weekly Open Reaction Map is built around one level only: the current weekly open.
Instead of plotting a large set of reference prices, the script focuses all of its logic on the active weekly open and asks whether price is above it, below it, reclaiming it, losing it, or still testing the reaction area.
Key differentiators:
• Single-anchor design centered only on the current weekly open
• Adaptive reaction band instead of a fragile one-tick line
• Acceptance-side model using sustained closes beyond the band
• Reclaim and loss labels designed to stay selective by default
• Concept-native rectangular reaction zones around confirmed weekly open behavior
• Compact panel showing distance, acceptance side, active-week reaction count, weekly bias, and last event
• Cleaner default visual mode tuned for 1H, 4H, and 1D public-chart presentation
• Optional initial acceptance events for users who want more context
The script is intentionally restrained. It does not try to become a full market structure suite. Its value comes from making one simple, popular, and highly searchable level more readable.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was designed to stay separate from existing AGPro public concepts.
It does not overlap with Daily Open Acceptance Map because this script does not reset around the daily open. The weekly open carries context across several trading days, so the logic is built around a multi-day weekly anchor rather than an intraday daily reference.
It does not overlap with Reference Price Operating Map because this script does not compare multiple reference prices. There is no multi-reference framework here. The weekly open is the only operating level.
It does not overlap with Session Reaction Map because this script does not evaluate Asia, London, New York, or session-start behavior. It continuously follows the active week and reads how price behaves around the weekly open over time.
It does not overlap with PDH PDL PWH PWL Engine because this script does not plot previous day highs, previous day lows, previous week highs, previous week lows, or active range corridors. It avoids becoming a prior-period high/low engine.
It does not overlap with generic support and resistance scripts because its boxes are not derived from swing pivots, historical ranges, or broad supply-demand zones. The reaction zones exist only when weekly open behavior is confirmed.
The scope is narrow by design:
Current weekly open.
Acceptance.
Reclaim.
Loss.
Reaction zones.
Weekly bias.
⚙️ METHODOLOGY
The script reads the current weekly open from the weekly timeframe and projects it onto the active chart.
Around that weekly open, it builds a reaction band. This prevents the script from treating the weekly open as an unrealistically perfect single price. The band can be sized by:
• ATR for volatility-adjusted behavior
• Percent for proportional market structure
• Ticks for fixed instrument precision
The acceptance model checks whether price can sustain closes beyond the reaction band. A single close is not enough by default. The user can define how many consecutive closes are required before the script recognizes accepted behavior.
The engine then tracks which side of the weekly open has been established during the active week.
A weekly open reclaim is detected when price had already traded below the weekly open context and then confirms acceptance back above the level after a recent band interaction.
A weekly open loss is detected when price had already traded above the weekly open context and then confirms acceptance below the level after a recent band interaction.
Optional initial acceptance events can also be enabled. These show which side of the weekly open became dominant first after a new week begins. They are disabled by default so the public chart remains cleaner and more focused on reclaim/loss transitions.
Confirmed events can create rectangular reaction zones. These zones preserve the weekly open area where the reaction was confirmed and project it forward for context. They are concept-native zones, not generic support/resistance boxes.
📊 PANEL
The panel gives a fast read of the active weekly open condition.
Distance
Shows how far current price is from the weekly open, including a percent reading.
Acceptance Side
Shows whether price is accepted above the weekly open, accepted below it, or still testing the weekly open band.
Reaction Count
Counts confirmed weekly open reactions for the active week. The panel uses active-week logic, while visual label limits keep historical charts clean.
Weekly Bias
Summarizes the current weekly open state as Bullish Control, Bearish Control, or Neutral Test.
Last Event
Shows the latest confirmed weekly open event, such as WO Reclaim, WO Loss, WO Accept +, or WO Accept -.
The panel includes adjustable location, theme, and font size controls. The first panel row follows the AGPro standard: a single merged blue header row containing only the script name.
🎛️ KEY INPUTS
Show Weekly Open Line
Controls whether the current weekly open line is displayed.
Weekly Open Line Width
Controls the visual weight of the weekly open reference line.
Reaction Band Width Mode
Choose ATR, Percent, or Ticks to define the width of the weekly open reaction area.
ATR Width Multiplier
Controls volatility-adjusted band width when ATR mode is selected.
Percent Width
Controls proportional band width when Percent mode is selected.
Tick Width
Controls fixed band width when Ticks mode is selected.
Acceptance Confirmation Bars
Defines how many consecutive closes are required before price is treated as accepted above or below the weekly open band.
Recent Touch Window
Requires confirmed events to occur near a recent weekly open band interaction.
Show Active Weekly Open Band
Displays the live weekly open reaction corridor.
Show Confirmed Reaction Zones
Draws extended boxes around confirmed weekly open reclaim, loss, or optional initial acceptance behavior.
Reaction Zone Extension Bars
Controls how far confirmed weekly open reaction zones project forward.
Maximum Reaction Zones
Limits the number of historical zones shown on the chart.
Show Reclaim / Loss Labels
Displays selective weekly open reclaim and loss labels.
Show Initial Acceptance Events
Allows first-side weekly open acceptance events to create labels and zones. Disabled by default for a cleaner public view.
Minimum Bars Between Labels
Controls cross-week spacing between event labels, helping avoid historical label clusters.
Maximum Event Labels
Limits visible historical event labels for a cleaner chart.
Label Offset ATR
Moves labels away from candles so they stay readable.
Label Font Size
Controls event label size. Normal is the default.
Panel Location
Moves the dashboard to the preferred chart location.
Panel Theme
Selects Dark, Light, or Auto panel styling.
Panel Font Size
Controls dashboard text size. Normal is the default.
🔍 HOW TO READ IT
Start with the weekly open line.
If price is above the line and the panel shows Above WO, the market is currently accepting above the weekly open band.
If price is below the line and the panel shows Below WO, the market is currently accepting below the weekly open band.
If the panel shows Testing WO, price is still close enough to the reaction band that the weekly open has not resolved clearly.
WO Reclaim
This label means price previously moved below the weekly open context and later confirmed acceptance back above it.
WO Loss
This label means price previously held above the weekly open context and later confirmed acceptance below it.
Reaction Zones
These boxes highlight the weekly open area where a confirmed reaction occurred. They can act as visual memory zones for later retests, pauses, or renewed pressure around the same weekly anchor.
Weekly Bias
The bias reading is not a standalone trade call. It is a context label that tells whether the active week is currently being controlled above the weekly open, below the weekly open, or still near the test area.
Reaction Count
This helps identify whether the week has been clean and directional or has already produced several confirmed weekly open reactions.
🧩 BEST USE CASES
Weekly open context
Use the script to understand whether the active week is being accepted above or below its opening level.
Reclaim tracking
Use WO Reclaim labels to identify when price regains the weekly open after trading below it.
Loss tracking
Use WO Loss labels to identify when price gives up the weekly open after previously holding above it.
Multi-timeframe planning
Use the weekly open as a higher-timeframe anchor while viewing 1H, 4H, or 1D charts.
Clean chart workflow
Use the script when you want one important weekly reference instead of a crowded stack of levels.
Reaction-zone review
Use projected boxes to remember where meaningful weekly open reactions were confirmed.
Public chart publishing
Use the default settings for cleaner PulseWire screenshots and a more premium chart layout.
🧠 VISUAL DESIGN PHILOSOPHY
The design philosophy is premium restraint.
The weekly open should be easy to identify, but it should not dominate the chart. Labels should be useful, but not constant. Zones should preserve meaningful reaction areas, but not turn the screen into a grid of boxes.
The default settings are intentionally cleaner:
• Initial acceptance events are off by default
• Reclaim and loss behavior remains the primary visible story
• Label spacing works across weeks, not only inside one week
• Historical label and zone limits are conservative
• The panel uses a compact AGPro dashboard style
• The active weekly open band is visible without overwhelming candles
This helps the script remain practical on 1H, 4H, and 1D views while still giving the chart enough structure to feel complete.
🔔 ALERTS
The script includes alert conditions for key weekly open events:
Weekly Open Reclaim
Triggers when price confirms a reclaim of the weekly open after previously trading below the weekly open context.
Weekly Open Loss
Triggers when price confirms a loss of the weekly open after previously trading above the weekly open context.
Weekly Open Accepted Above
Triggers when price confirms acceptance above the weekly open band.
Weekly Open Accepted Below
Triggers when price confirms acceptance below the weekly open band.
These alerts are designed for context awareness around the weekly open. They are not intended to replace a complete trading plan or broader market review.
🔹 LIMITATIONS AND TRANSPARENCY
Weekly Open Reaction Map is intentionally focused on one reference level. It does not attempt to map every support/resistance area on the chart.
The script does not include previous day highs, previous day lows, previous week highs, previous week lows, session opens, daily opens, volume profile levels, swing pivots, or order-flow data.
Because the weekly open can behave differently across assets and timeframes, users may need to adjust the reaction band width, confirmation bars, and label spacing for their market.
On very low timeframes, labels can appear more frequently if sensitivity is increased. On higher timeframes, fewer but more meaningful events are expected.
The weekly bias panel is a context tool. It describes the current relationship between price and the weekly open; it does not predict future price movement.
The script is built to stay clean, transparent, and focused. Its strength is not feature volume. Its strength is making one widely used weekly reference level easier to read.
✅ IDEAL USER
This script is ideal for traders who:
• Use the weekly open as a key higher-timeframe reference
• Want a cleaner way to read weekly open acceptance, reclaim, and loss
• Prefer focused tools over crowded multi-level dashboards
• Trade crypto, forex, indices, or liquid stocks where the weekly open is actively watched
• Use 1H, 4H, or 1D charts for market context
• Want reaction zones without turning the chart into a generic support/resistance map
• Publish or review PulseWire charts and need a clean visual presentation
• Prefer structured context over excessive labels and visual noise
Weekly Open Reaction Map is built for traders who want the weekly open to become more than a line. It turns that level into a readable acceptance and reaction framework while keeping the chart professional, restrained, and publication-ready. Indicator
1-2-3 Reversal Map [AGPro Series]1-2-3 Reversal Map
🔹 OVERVIEW
1-2-3 Reversal Map is a focused PulseWire overlay built for traders who want a clean, structured way to follow one of the most recognizable reversal formations in price action: the confirmed 1-2-3 reversal.
This tool maps the full life cycle of a 1-2-3 structure. It identifies the confirmed swing sequence, marks Point 1, Point 2, and Point 3, projects the neckline from Point 2, evaluates the neckline break, and highlights the retest pocket after confirmation. The goal is not to fill the chart with generic reversal signals. The goal is to make the actual 1-2-3 process easier to see, compare, and track.
The script is designed around visual clarity. The latest active structure stays readable through numbered swing labels, restrained guide lines, a clearly identified neckline, and a concept-specific retest pocket. The panel then summarizes the current stage, neckline status, retest status, and reversal score in a compact AG Pro layout.
🔹 WHAT MAKES IT DIFFERENT
Most reversal tools try to do too many things at once. They mix candle patterns, double tops, double bottoms, head and shoulders structures, failed breakouts, generic support and resistance zones, trend filters, and broad reversal markers into one crowded chart.
1-2-3 Reversal Map takes a more disciplined approach. It stays inside one lane: the confirmed 1-2-3 reversal sequence.
The script does not mark every possible turning point. It waits for a defined swing chain:
1. Point 1 establishes the original swing extreme.
2. Point 2 forms the neckline reference.
3. Point 3 confirms that price has created a structurally relevant retracement.
4. The neckline break turns the structure from a setup into a confirmed map.
5. The retest pocket shows where the broken neckline can be evaluated again.
This creates a cleaner workflow than broad reversal scanners. Instead of asking the chart to show everything, the script asks one focused question: has a valid 1-2-3 structure progressed from swing formation to neckline break and retest behavior?
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was intentionally built to avoid overlapping with other AGPro public tools.
It is not a broad reversal pattern scanner. It does not combine double top, double bottom, head and shoulders, inverse head and shoulders, wedge, or candle-pattern logic. It focuses only on the 1-2-3 reversal sequence.
It is not a Turtle Soup or failed-breakout tool. It does not begin with a failed range break or liquidity sweep. Its starting point is a confirmed three-point swing structure.
It is not a wedge reversal tool. It does not evaluate converging trendlines, compression geometry, or wedge breakout behavior.
It is not a generic support and resistance map. The rectangle is not a general zone engine. It is a neckline retest pocket that appears only after a valid 1-2-3 neckline break.
It is not a breakout dashboard. Breakout logic exists only as one stage inside the 1-2-3 reversal process.
This makes the script narrow enough for a differentiated AGPro release while still being visually useful and searchable for traders who specifically look for 1-2-3 reversal structure, neckline break, and retest confirmation workflows.
⚙️ METHODOLOGY
The script uses confirmed pivot structure to define each 1-2-3 sequence.
For a bullish 1-2-3 structure:
- Point 1 is a confirmed swing low.
- Point 2 is the recovery swing high and neckline reference.
- Point 3 is a higher low that holds above Point 1.
- The neckline break requires price to close beyond Point 2 with a configurable ATR buffer.
- The retest pocket is projected around the broken neckline after confirmation.
For a bearish 1-2-3 structure:
- Point 1 is a confirmed swing high.
- Point 2 is the reaction swing low and neckline reference.
- Point 3 is a lower high that holds below Point 1.
- The neckline break requires price to close beyond Point 2 with a configurable ATR buffer.
- The retest pocket is projected around the broken neckline after confirmation.
The reversal score is structure-native. It evaluates:
- P1-P2 leg size relative to ATR
- Point 3 hold quality
- P3 retracement balance
- Timing symmetry between structure legs
- Break distance beyond the neckline
- Break candle body quality
- Close location inside the break candle
- Optional volume participation
The score is not designed as a prediction model. It is a ranking layer for comparing the quality of structures that meet the script's own rules.
📊 PANEL
The AG Pro panel is built to keep the structure status readable without forcing the user to interpret every chart object manually.
Panel rows:
- Stage: shows whether the structure is waiting, armed, broken, retested, expired, or invalidated.
- Neckline Break: shows whether the neckline has been confirmed.
- Retest: shows whether the retest pocket is inactive, being watched, or held.
- Reversal Score: shows the current 0-100 score and quality grade.
The panel uses the AGPro standard format:
- One merged blue header row
- Only the script name in the first row
- Adjustable panel location
- Adjustable panel theme
- Adjustable panel font size
🎛️ KEY INPUTS
Pivot Left Bars / Pivot Right Bars:
Controls how mature the swing points must be before the 1-2-3 structure can form. Higher values create fewer and cleaner structures. Lower values make the script more responsive.
Minimum P1-P2 Leg ATR:
Filters out small structures by requiring a minimum distance between Point 1 and Point 2.
Minimum Point 3 Hold ATR:
Defines how much Point 3 must hold relative to Point 1. This helps separate valid structural retracements from weak retests of the original extreme.
Minimum / Maximum P3 Retracement:
Controls the acceptable retracement range for Point 3. This prevents both shallow noise and near-failed structures from being accepted too easily.
Neckline Break Buffer ATR:
Adds a configurable buffer beyond the neckline before the break is accepted.
Retest Pocket Width ATR:
Controls the height of the retest pocket around the broken neckline.
Retest Pocket Projection Bars:
Controls how far the pocket is projected forward.
Show Context Tags:
Adds compact labels such as Neckline and Retest Pocket so the visual elements are easier to identify.
Show Recent Structure Traces:
Keeps a small rolling set of recent structure lines and pockets while keeping numbered swing labels focused on the latest active setup.
Label Font Size:
Controls all chart labels, including swing numbers, context tags, and optional event labels.
Panel Font Size:
Controls the AG Pro panel text size separately from chart labels.
🔍 HOW TO READ IT
Start with the numbered swing labels.
Point 1 marks the original structural extreme. Point 2 marks the neckline reference. Point 3 marks the retracement that must hold for the 1-2-3 structure to remain valid.
Next, watch the neckline.
The neckline is the main confirmation level. Before it breaks, the panel shows the structure as armed or waiting. After it breaks, the structure becomes a confirmed 1-2-3 map.
Then watch the retest pocket.
The retest pocket appears around the broken neckline after confirmation. This is the script's key context zone. It helps the user observe whether price can return to the neckline area and hold the structure instead of treating every move after the break as equally important.
Finally, use the panel score as a quality filter.
A high score means the structure has stronger internal balance according to the script's rules. A lower score means the 1-2-3 sequence may still exist, but its structure quality is weaker.
🧩 BEST USE CASES
This script is best suited for:
- Traders who use classic 1-2-3 reversal logic
- Swing traders who want confirmed pivot structure
- Price-action traders who track neckline breaks
- Traders who prefer breakout-retest workflows
- Users who want fewer, clearer chart objects instead of broad reversal scanners
- Multi-timeframe chart review where structure clarity matters
- Public chart sharing where visual cleanliness is important
It can be useful on crypto, forex, indices, equities, and commodities, especially on charts where swing structure and neckline behavior are visually meaningful.
🧠 VISUAL DESIGN PHILOSOPHY
The design goal is clarity through restraint.
The script avoids a crowded signal-board style. It uses numbered labels only for the current active swing structure. It separates the neckline from the retest pocket with distinct visual language. Recent traces are kept limited and softened so they provide context without dominating the chart.
The active neckline is drawn with a stronger accent color. The retest pocket is shown as a clean rectangle around the broken neckline. Structure legs are dotted and restrained, helping the user understand the geometry without overpowering price.
The chart should feel premium, readable, and publication-ready. The indicator is built to support a clean PulseWire screenshot rather than create visual noise.
🔔 ALERTS
The script includes alerts for the main 1-2-3 lifecycle events:
- 1-2-3 structure armed
- Bullish 1-2-3 neckline break
- Bearish 1-2-3 neckline break
- 1-2-3 retest pocket held
- 1-2-3 structure invalidated
These alerts are designed around structure progression, not generic reversal marking.
🔹 LIMITATIONS AND TRANSPARENCY
The script uses confirmed pivots, which means swing points appear only after the required right-side confirmation bars. This is intentional. It prioritizes confirmed structure over instant but unstable markings.
The script does not attempt to identify every possible reversal pattern. It does not evaluate macro trend, fundamentals, order flow, news, or external liquidity conditions.
The reversal score is a structured quality model, not a certainty model. It helps compare 1-2-3 structures inside this script's framework, but it does not forecast outcomes.
Retest pockets are contextual areas around the broken neckline. They are not universal support or resistance zones, and they are not designed to replace broader market analysis.
✅ IDEAL USER
This script is ideal for traders who:
- Understand classic 1-2-3 reversal structure
- Prefer confirmed market structure over early noise
- Want a clean neckline and retest workflow
- Value visual clarity and chart discipline
- Use PulseWire for structured price-action review
- Want a focused public-free AGPro tool that does one concept well
1-2-3 Reversal Map is built for users who want a focused reversal map, not a crowded reversal scanner.
🔹 RELEASE NOTES
- Initial public release of 1-2-3 Reversal Map .
- Added confirmed Point 1, Point 2, and Point 3 swing mapping.
- Added neckline projection with close-based break confirmation.
- Added breakout retest pocket around the broken neckline.
- Added context tags for Neckline and Retest Pocket.
- Added AG Pro panel with Stage, Neckline Break, Retest, and Reversal Score.
- Added adjustable panel location, panel theme, label size, and panel font size.
- Added recent structure traces with softened historical visuals.
- Added alerts for armed structures, neckline breaks, retest holds, and invalidations. Indicator
Quasimodo Reversal Zones [AGPro Series]Quasimodo Reversal Zones
🔹 OVERVIEW
Quasimodo Reversal Zones is a focused Smart Money Concepts tool built around one specific idea: the Quasimodo reversal pattern.
Instead of turning the chart into a crowded market-structure dashboard, this script identifies confirmed QM swing sequences, marks the original shoulder-derived QM level, projects a clean reaction zone, and tracks the invalidation threshold from the head.
The goal is simple: help traders see where a valid Quasimodo structure formed, where price may revisit the QM level, whether the reaction zone is active, and when the structure has failed.
It is designed as a premium public-free AGPro tool for traders who want a clean, visual, and selective Quasimodo framework without generic signal clutter.
🔹 WHAT MAKES IT DIFFERENT
Most reversal tools try to detect too many patterns at the same time. They often combine double tops, double bottoms, head and shoulders, order blocks, BOS, CHOCH, liquidity sweeps, and support/resistance zones into one heavy overlay.
Quasimodo Reversal Zones stays intentionally narrow.
Its only job is to map Quasimodo reversal structures with quality scoring, reaction-zone tracking, and invalidation logic. This makes the script easier to read, easier to trust visually, and more useful as a dedicated QM layer inside a larger trading workflow.
The script also avoids marking every small pivot as a pattern. A valid QM structure must pass multiple filters:
- confirmed swing sequence,
- meaningful head extension,
- displacement beyond the pullback swing,
- minimum spacing between pivots,
- swing amplitude quality,
- time-balance evaluation,
- optional relative-volume participation.
This gives the tool a more selective and professional feel than simple pivot-label scripts.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was designed to stay in a very specific lane inside the AGPro Series catalog.
It is not a broad reversal-pattern scanner.
It is not a BOS or CHOCH dashboard.
It is not an order block tool.
It is not a generic support/resistance zone engine.
It is not a liquidity sweep module.
Its focus is the Quasimodo pattern only.
The visual logic is built around four QM-specific components:
- the shoulder,
- the head,
- the QM level,
- the reaction zone with invalidation.
That narrow structure keeps the tool differentiated from broader AGPro pattern, breakout, structure, and zone-based scripts while still giving traders a strong SMC-style visual experience.
⚙️ METHODOLOGY
The script uses confirmed swing pivots to build a four-step Quasimodo sequence.
For a bullish QM structure, the script looks for:
- an initial swing low,
- a swing high,
- a lower low that forms the head,
- a higher high that confirms the sequence break.
For a bearish QM structure, the script looks for:
- an initial swing high,
- a swing low,
- a higher high that forms the head,
- a lower low that confirms the sequence break.
After the sequence is confirmed, the original shoulder becomes the QM level. A compact ATR-based reaction box is projected around that level. The head becomes the invalidation reference, with optional ATR padding.
The quality score is built from:
- head extension strength,
- sequence-break displacement,
- spacing between pivots,
- average swing size,
- internal time balance,
- optional relative-volume confirmation.
Only structures that meet the selected score threshold are drawn on the chart.
📊 PANEL
The AGPro panel summarizes the latest valid QM structure in a compact format.
Panel fields:
- Pattern Side
- Structure Quality
- Zone Status
- Score
The first panel row follows the AGPro standard: one merged blue header row containing only the script name.
Panel location, panel theme, and panel font size are adjustable from settings. The default panel size is Normal for a clean publication-ready layout.
🎛️ KEY INPUTS
Swing Pivot Length
Controls how strict the confirmed swing structure should be. Higher values create fewer but cleaner patterns.
ATR Normalization Length
Used to normalize zone width, head extension, sequence displacement, label offset, and invalidation padding.
Minimum Head Extension
Defines how far the head must extend beyond the original shoulder before the sequence can qualify.
Minimum Sequence Break
Defines how strongly the final swing must break beyond the pullback level.
Minimum Pattern Score
Filters out weaker QM sequences before they are drawn.
Signal Cooldown Bars
Controls label density and prevents the chart from becoming overloaded on noisy markets.
Reaction Zone Width
Controls the ATR-based thickness of the projected QM reaction box.
Reaction Zone Length
Controls how far the reaction zone projects into the future.
Invalidation Buffer
Adds optional ATR padding beyond the head-based invalidation level.
Maximum Visible QM Zones
Limits how many recent QM zones remain visible on the chart.
Label Font Size and Panel Font Size
Both are adjustable, with Normal as the default setting.
🔍 HOW TO READ IT
Start with the panel.
Pattern Side shows whether the latest valid structure is bullish or bearish.
Structure Quality gives a quick qualitative view of the setup.
Zone Status shows whether the reaction zone is waiting, active, confirmed, or invalidated.
Score shows the numerical strength of the latest accepted QM pattern.
On the chart:
- Shoulder marks the original level that later becomes the QM reference.
- Head marks the extension that creates the imbalance.
- QM Level marks the precise shoulder-derived reaction level.
- Reaction Zone shows the area where the QM retest is being tracked.
- Invalidation Line shows where the structure is no longer valid.
- Status Label shows the live state of the latest zone.
The cleanest reads usually come when price returns to the reaction zone after a strong sequence break and then shows a visible response away from the QM level.
🧩 BEST USE CASES
This script is best used for:
- SMC-style Quasimodo analysis,
- swing-based reversal mapping,
- reaction-zone planning,
- invalidation-based structure review,
- higher-timeframe QM context,
- clean chart screenshots for public analysis,
- traders who want one dedicated QM layer instead of a large all-in-one structure scanner.
It can be useful on many markets and timeframes, but the best visual quality usually appears on charts where swings are clear and price action is not excessively compressed.
🧠 VISUAL DESIGN PHILOSOPHY
The visual design is built around clarity, not clutter.
The script uses the AGPro color palette with a restrained premium look:
- blue merged panel header,
- teal bullish structures,
- pink bearish structures,
- gold invalidation or inactive-state emphasis,
- compact labels placed away from candles where possible,
- projected boxes that stay readable without covering the chart.
The chart should not feel empty, but it should also not feel noisy. Labels, zones, and status elements are intentionally controlled with cooldowns, maximum visible zones, adjustable offsets, and configurable font sizes.
The goal is to make the QM story easy to understand at first glance.
🔔 ALERTS
The script includes alerts for important QM events:
- Bullish Quasimodo Sequence
- Bearish Quasimodo Sequence
- QM Reaction Zone Touched
- QM Reaction Confirmed
- QM Pattern Invalidated
These alerts are designed around structure events rather than generic entry messages.
🔹 LIMITATIONS AND TRANSPARENCY
This script uses confirmed pivots, so patterns are confirmed only after enough bars have passed to validate the swing structure.
It is intentionally selective. Some early or aggressive QM ideas may not appear if they fail the pivot, spacing, displacement, or score requirements.
The script is not designed to predict every reversal. It is designed to identify cleaner Quasimodo structures, display the relevant reaction zone, and provide a clear invalidation reference.
It also does not attempt to replace broader market analysis. Trend context, volatility, liquidity conditions, and higher-timeframe structure can still matter.
✅ IDEAL USER
This script is ideal for traders who:
- understand basic SMC and price-action concepts,
- want a clean Quasimodo-specific tool,
- prefer visual structure over signal spam,
- care about invalidation and reaction-zone logic,
- want a focused public-free AGPro tool that does not overlap with broader reversal scanners,
- value a premium chart presentation with adjustable labels, zones, and panel controls.
Quasimodo Reversal Zones is built for traders who want the QM pattern to be visible, structured, and easy to evaluate without adding unnecessary market-structure clutter. Indicator
ABCD Projection Zones [AGPro Series]ABCD Projection Zones
🔹 OVERVIEW
ABCD Projection Zones is a premium price-action projection tool built for traders who want a clean ABCD pattern map without turning the chart into a full harmonic scanner, Auto Fib suite, retracement dashboard, or broad pattern-recognition system.
The script focuses on one specific market-structure idea: a confirmed A-B-C swing sequence can project a forward D completion area when the A-B leg is measured from point C. Instead of plotting a single thin target line, the script converts that measured move into a practical projected completion zone. This makes the result easier to read on real charts where reactions often happen around an area rather than at one exact tick.
The tool detects the structure, measures the leg relationship, projects the completion zone, tracks the distance to that zone, and then follows the reaction lifecycle after price reaches it. The goal is a premium, readable ABCD projection workflow that helps traders understand where the current structure is, how mature it is, and how price is behaving around the projected completion area.
🔹 WHAT MAKES IT DIFFERENT
Many ABCD, projection, and pattern tools try to do too much at once. They combine multiple Fibonacci ratios, harmonic pattern names, extended target ladders, retracement grids, reversal labels, and broad pattern scanning into one chart overlay. That can look busy, but it often makes the active structure harder to understand.
ABCD Projection Zones takes a narrower and cleaner route.
It does not attempt to label every harmonic family.
It does not expose a full Fibonacci framework.
It does not place several competing projection targets on the chart.
It does not turn the layout into a generic support and resistance map.
The difference is the focused lane: confirmed ABCD swing projection, one projected completion zone, one reaction lifecycle, and a concise panel that explains the active setup.
The visual language is also different. The D area is shown as a forward rectangle with centered zone text inside the box. Active and archived zones stay named, labels use consistent sizing, and archived context remains muted so the active projection remains dominant.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script is intentionally separated from other AGPro tools by scope, visual behavior, and analytical purpose.
It is not an Auto Fib Structure tool. It does not publish multiple retracement and extension levels, does not expose a full Fib grid, and does not present itself as a broad Fibonacci framework.
It is not a harmonic scanner. It does not label Gartley, Bat, Butterfly, Crab, Shark, or other harmonic families. It does not rank multiple harmonic candidates or compare pattern families.
It is not a generic support and resistance zone script. The rectangles are not general S/R zones. They are specifically ABCD completion and reaction zones derived from swing-leg symmetry.
It is not a trend dashboard, volatility map, liquidity sweep scanner, or broad price-action suite. Its job is only to map a confirmed A-B-C structure into a projected D completion zone and monitor the reaction state around that zone.
This makes the public release lane clear: a focused ABCD projection and reaction-zone tool for measured-move structure, not a duplicate of existing AGPro zone, Fib, S/R, harmonic, or dashboard concepts.
⚙️ METHODOLOGY
The script starts by detecting confirmed swing highs and lows using pivot-based structure logic. This gives the model cleaner A, B, and C points and helps reduce random candle noise.
After the A-B-C sequence is confirmed, the script measures the A-B leg and the B-C pullback. The B-C pullback is evaluated as a ratio of A-B, but this ratio is used as a structure-quality filter, not as a visible Fibonacci grid.
The projected D area is calculated by applying the A-B leg from point C. This creates an AB=CD style measured-move projection. The projected D price is then expanded into a rectangle using ATR-based padding so the completion area behaves like a practical reaction zone rather than a thin target.
The script then tracks the active projection lifecycle:
- Waiting: price has not yet approached the projected zone.
- Approaching: price is close enough to the zone to matter.
- Completed: price has reached the projected D area.
- Reacting: price is moving away from the zone after contact.
- Overrun: price has moved beyond the zone buffer.
- Expired: the projection window passed without completion.
The scoring model combines impulse quality, pullback quality, and structural alignment into a 0-100 score. This score is not a standalone signal; it is a compact way to summarize the quality of the active ABCD projection structure.
📊 PANEL
The AGPro panel is designed for quick chart reading without forcing the trader to inspect every object manually.
Panel fields:
- Leg Ratio: shows the B-C pullback size relative to A-B.
- Completion Distance: shows the current distance to the projected D zone in price and ATR terms.
- Reaction State: shows the active lifecycle state of the projection.
- Symmetry Quality: classifies the active setup as Weak, Developing, Clean, or Strong with directional context.
- Projection Progress: shows how far price has traveled from point C toward the projected D area.
- Score: summarizes the active setup quality from 0 to 100.
Panel standards:
- The first row is one merged blue AGPro header row.
- The header contains only the panel title.
- Panel location is adjustable.
- Panel theme is adjustable.
- Panel font size is adjustable.
🎛️ KEY INPUTS
Detection:
- Swing Left Strength
- Swing Right Strength
- ATR Length
- Minimum AB Leg Size ATR
- Minimum BC Pullback Ratio
- Maximum BC Pullback Ratio
Projection Zone:
- Projection Length Bars
- Zone Padding ATR
- Approach Distance ATR
- Overrun Buffer ATR
- Zone Fill Transparency
- Archived Zones
- Archived Zone Transparency
- Show Text Inside Zones
Visuals:
- Show ABCD Path
- Show ABCD Labels
- Show Completion Marker
- Label Font Size
- Label Offset ATR
- Completion Marker Offset Bars
Panel:
- Show Panel
- Panel Location
- Panel Theme
- Panel Font Size
🔍 HOW TO READ IT
Start with the A-B-C labels. Point A and point B define the impulse leg. Point C defines the pullback from which the measured-move projection begins.
The dotted projected path shows the C-D measured move. The forward rectangle marks the projected completion zone. If price is still far from that rectangle, the panel will usually show Waiting and a lower Projection Progress value.
As price moves toward the rectangle, Projection Progress increases and the Completion Distance decreases. When price reaches the zone, the script marks D Hit and changes the lifecycle state. After that, the most important reading is whether the zone becomes a Reaction Zone or an Overrun Zone.
Archived zones should be read as context, not as the main decision layer. They show previous projected reaction areas in a muted style so the chart does not feel empty, but the active zone remains the priority.
🧩 BEST USE CASES
This script is best suited for traders who study market structure, measured moves, swing projection, ABCD patterns, and reaction-zone behavior.
Strong use cases include:
- Mapping a clean ABCD completion area after a confirmed A-B-C structure.
- Tracking how close price is to a projected D area.
- Separating developing projections from completed projections.
- Watching for reaction behavior after price reaches a projected completion zone.
- Reviewing recent projected zones without overcrowding the chart.
- Keeping a clean price-action workflow without a full harmonic or Fib suite.
The script can be useful across different markets and timeframes, but it is most readable when swing structure is clear enough for pivot-based detection to identify meaningful A-B-C sequences.
🧠 VISUAL DESIGN PHILOSOPHY
The visual design is built around premium restraint.
The chart should not be empty, but it should also not be overloaded. The active ABCD projection needs to stand out clearly, while archived zones should provide background context without taking attention away from the current structure.
Visual standards used in this script:
- Active completion and reaction zones are drawn as forward rectangles.
- Zone text is written inside the rectangle.
- Zone text is horizontally and vertically centered.
- Zone text uses transparent label-center styling instead of extra external tags.
- Active and archived zone text uses the same label font-size control.
- Swing labels are offset with ATR so they do not sit inside candle bodies.
- The completion marker is compact and shifted away from nearby swing labels.
- The projected C-D path is visible but not visually dominant.
- Archived zones are muted to keep the active projection clean.
The result is a chart that communicates structure, projection, and reaction state without looking like a crowded signal board.
🔔 ALERTS
Included alert conditions:
- New ABCD Projection Zone: triggers when a new qualified ABCD projection is detected.
- ABCD Completion Reached: triggers when price reaches the active projected completion zone.
- ABCD Reaction Confirmed: triggers when price reacts away from the active completion zone.
- ABCD Zone Overrun: triggers when price moves beyond the configured zone buffer.
🔹 LIMITATIONS AND TRANSPARENCY
The script waits for confirmed pivot structure, so A, B, and C labels appear after swing confirmation rather than at the exact live turning point.
The projected D area is based on AB=CD symmetry and ATR-based zone padding. It is designed to map structure and reaction context, not to predict every reversal.
The script intentionally avoids a full harmonic library and full Fibonacci framework. This is a design choice, not a missing feature. The goal is to keep the public tool focused on ABCD projection zones.
During choppy or low-structure conditions, fewer clean setups may appear. Increasing or decreasing swing strength and leg-size filters can make the tool more selective or more responsive depending on the market and timeframe.
✅ IDEAL USER
This script is designed for traders who prefer clean structure tools over crowded all-in-one indicators.
The ideal user:
- Studies price action and swing structure.
- Wants a focused ABCD projection tool.
- Prefers zones over single-line targets.
- Wants reaction-state context after completion.
- Values clean chart presentation.
- Wants adjustable labels, panel location, and visual density.
- Does not want a full harmonic scanner or public Auto Fib suite.
ABCD Projection Zones is built for traders who want one clean projected completion lane: A-B-C structure, measured D zone, reaction state, and a premium AGPro visual presentation. Indicator
Cup and Handle Quality [AGPro Series]Cup and Handle Quality
🧩 OVERVIEW
Cup and Handle Quality is a visual pattern-quality overlay for one of the most recognized continuation structures in technical analysis: the cup and handle.
The script is designed to map the full pattern lifecycle instead of only marking a breakout candle. It studies the left cup rim, the cup base, the right rim recovery, the controlled handle pullback, the breakout behavior, and the measured projection context. The goal is to make cup and handle structures easier to recognize, compare, and explain directly on the chart.
The final visual output is intentionally clear. The detected cup and handle candle ranges are framed with subtle boxes, while thick curved outlines make the formation readable at a glance. The rim line, target line, DEPTH arrow, and MOVE arrow help users understand how the structure is measured, not just where the label appears.
✅ WHAT MAKES IT DIFFERENT
Most public cup and handle tools focus on one of two things: either they draw a simple breakout marker, or they scan aggressively and leave the chart crowded with low-context shapes. Cup and Handle Quality takes a narrower approach.
It combines three layers:
- Structure recognition: left rim, cup base, right rim, and handle low
- Quality scoring: cup symmetry, handle depth, and breakout quality
- Visual education: cup box, handle box, thick pattern outline, rim line, target line, and measurement arrows
This makes the script more than a pattern detector. It is also a visual explanation tool. The chart shows where the cup was detected, where the handle formed, how deep the cup is, and where the measured projection line comes from.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script has its own lane inside the AGPro Series.
It is not a flag scanner, wedge detector, triangle breakout module, inside-bar breakout tool, Donchian breakout validator, double-top detector, head-and-shoulders detector, generic support-resistance map, or supply-demand zone script.
Its lane is specifically:
Cup rim recovery -> controlled handle depth -> breakout participation -> measured projection line.
The script focuses on the complete cup and handle lifecycle. It does not try to replace broader breakout engines, market-structure tools, support-resistance tools, liquidity tools, or trend dashboards. The defining feature is the combination of a recognizable cup-and-handle drawing with a quality panel that grades the actual pattern components.
⚙️ METHODOLOGY
The engine builds the pattern from pivot structure. A qualified setup begins with a left rim, moves into a cup low, recovers into a right rim, and then forms a handle pullback after the right rim.
The quality model evaluates:
1. Cup Symmetry
The script compares the two rim areas and measures how balanced the cup is over time. A cleaner return from the cup base into the right rim area produces a stronger symmetry reading.
2. Handle Depth
The handle is measured as a percentage of cup depth. A useful handle should create structure without pulling so deeply that the cup profile loses strength. The input range allows the user to control how strict or flexible the handle requirement should be.
3. Breakout Quality
Breakout quality is calculated from candle behavior and participation context. The script checks distance beyond the rim, candle body efficiency, close location, and relative volume against a configurable baseline.
4. Final Score
The final score combines the structure score and breakout behavior into a compact quality reading. Developing setups can be shown before breakout confirmation, while confirmed breakouts require the breakout quality gate.
📊 PANEL
The AGPro panel displays the main quality dimensions in a compact format:
- Cup Symmetry
- Handle Depth
- Breakout Quality
- Score
The first row follows the AGPro standard with a merged blue title row. Panel location, panel theme, panel font size, and label font size are adjustable from settings.
🎛️ KEY INPUTS
- Pivot Span controls structural sensitivity.
- Minimum Cup Bars defines the shortest accepted cup duration.
- Maximum Cup Bars defines the longest accepted cup duration.
- Maximum Rim Variance % controls how closely the left and right rims must align.
- Minimum Cup Depth ATR filters shallow structures.
- Minimum Handle Depth % filters handles that are too shallow.
- Maximum Handle Depth % filters handles that are too deep.
- Breakout Volume Baseline controls the relative volume comparison.
- Minimum Setup Score controls developing setup visibility.
- Minimum Breakout Quality controls confirmed breakout strictness.
- Minimum Pattern Score controls the final quality gate.
- Show Developing Setup controls pre-breakout visualization.
- Show Cup Path controls the curved cup drawing and cup candle box.
- Show Handle Box controls the detected handle range.
- Show Target Line controls the measured projection line.
- Show Measurement Arrows controls the DEPTH and MOVE explanation arrows.
- Pattern Stroke Width controls the thickness of the cup and handle outlines.
- Target Projection Bars controls how far the measured target line extends.
🔍 HOW TO READ IT
Start with the rim line. This is the reference level the structure must recover into and eventually move beyond.
Then read the cup. The subtle cup box marks the detected candle range, while the thick curved outline helps the formation read visually as a cup instead of a simple V-shaped swing.
Next read the handle. The handle box marks the controlled pullback area after the right rim. The curved handle outline makes the handle easier to recognize without turning it into a generic rectangle pattern.
The DEPTH arrow shows the measured cup depth. The MOVE arrow transfers that depth upward from the rim area. The TARGET line shows the forward measured projection level.
The panel summarizes the same structure numerically. Stronger Cup Symmetry, disciplined Handle Depth, and stronger Breakout Quality combine into the final Score.
🧩 BEST USE CASES
Cup and Handle Quality is best used on liquid symbols and timeframes where swing structure has enough room to develop. It is especially useful for users who want a clean visual map of a classic continuation pattern without filling the chart with unrelated pattern families.
The default settings are tuned for active discovery. Users who want fewer patterns can raise pivot sensitivity or score thresholds. Users who want a more reactive view can lower the score thresholds, while still using the chart visuals to review pattern quality.
🧠 VISUAL DESIGN PHILOSOPHY
The design philosophy is simple: make the pattern understandable without making the chart noisy.
The cup and handle are drawn with thick curved lines because this pattern is visual by nature. Newer users should be able to see the shape immediately. At the same time, the candle boxes keep the drawing grounded in the actual detected structure.
The target is shown as a line rather than a large zone, keeping the projection clean. The DEPTH and MOVE arrows explain the measurement logic without turning the indicator into a crowded education panel. Labels are compact, and the panel is restrained so the chart remains the main focus.
🔔 ALERTS
The script includes an alert condition for confirmed cup and handle breakouts.
Alert name:
Cup and Handle Quality Breakout
Alert message:
Cup and Handle Quality : high-quality cup and handle breakout confirmed on {{ticker}} at {{close}}.
Alerts are tied to confirmed breakout logic, which means the structure, breakout quality, and pattern score must pass the configured gates.
🔹 LIMITATIONS AND TRANSPARENCY
Cup and handle structures are pattern-based and depend on pivot interpretation. Different sensitivity settings can produce different structures on the same chart.
Very noisy markets, illiquid symbols, extreme gaps, and unusually compressed price action can reduce pattern readability. Lower thresholds may produce more setups, but visual review remains important when using any chart-pattern tool.
The thick cup and handle lines are designed as visual guides. The subtle candle boxes identify the detected structure ranges, while the curved outlines make the pattern easier to understand on the chart.
✅ IDEAL USER
This script is built for traders and analysts who want a clean, visual, and structured way to study cup and handle formations.
It is especially useful for:
- Users who want classic chart patterns with a modern quality layer
- Price-action traders who care about structure, handle depth, and breakout behavior
- Chart reviewers who want a clear visual explanation of the setup
- Newer users who benefit from seeing the cup, handle, depth, move, and target drawn directly on the chart
- AGPro users who want a focused cup-and-handle tool that does not overlap with broader breakout or market-structure scripts Indicator
FVG Quality Scorer | Flux ChartsGENERAL OVERVIEW:
FVG Quality Scorer is a Fair Value Gap analysis tool designed to extend beyond basic gap detection. Instead of treating every gap equally, this indicator evaluates each FVG across four independent scoring axes and assigns a letter grade (A through D) based on configurable thresholds. This creates a structured view of the chart where gaps are organized by their relative characteristics.
Every FVG is scored once at the moment of creation across Displacement Strength, Volume Delta, Contextual Location, and Structural Alignment. Each axis is scored from 0 to 25, producing a weighted composite score out of 100. Scores are fixed at creation, ensuring the evaluation reflects the conditions present at the time of formation and does not change retroactively. In contrast, each FVG’s lifecycle state (Fresh, Tested, Partially Filled, Mitigated) updates in real time as price interacts with the zone, providing a current view of how price is interacting with each gap.
A companion dashboard tracks grade distribution, active counts, total formations, and average fill times across the visible chart history. Score labels at the edge of each FVG box provide a quick reference to the assigned grade, with optional tooltips displaying the full scoring breakdown and current lifecycle state.
FEATURES:
◇ Four-axis scoring system: Displacement Strength, Volume Delta, Contextual Location, and Structural Alignment, each scored from 0 to 25 for a maximum composite score of 100
◇ Letter grade assignment (A, B, C, D) using per-axis threshold gates with configurable minimum scores and required axes per grade
◇ Lower timeframe volume delta analysis using intrabar data to estimate directional volume distribution within the displacement candle
◇ Higher timeframe FVG nesting detection to identify when current timeframe gaps are positioned within higher timeframe imbalances
◇ Session timing reference covering Asian, London, New York AM, and New York PM sessions based on New York time
◇ Premium and Discount zone scoring using a proportional gradient based on the FVG’s position within a defined price range
◇ Market structure classification using swing high and swing low sequences to label conditions as bullish, bearish, or mixed
◇ Break of Structure (BOS) tracking using crossover logic to identify recent structural breaks relative to the FVG direction
◇ Post-sweep proximity detection identifying FVGs that form after a liquidity sweep of a swing level
◇ Lifecycle state tracking: Fresh → Tested → Partially Filled → Mitigated, with corresponding visual updates on the chart
◇ Score labels with optional tooltips displaying axis scores and current lifecycle state
◇ Dashboard displaying active counts, total formations, and average bars to mitigation per grade, along with nearest A-grade distance tracking
◇ Configurable axis weights for adjusting the influence of each scoring dimension in the composite score
◇ Alerts for newly formed A-grade and B-grade FVGs based on defined grading criteria
WHAT IS A FAIR VALUE GAP?
A Fair Value Gap is a three-candle price formation that highlights an imbalance in price movement. It occurs when the third candle’s wick does not overlap with the first candle’s wick, leaving a visible gap created by the middle candle. This middle candle is often referred to as the “displacement” candle, as it reflects a relatively strong move in price over a short period.
In a bullish FVG, the low of the third candle is positioned above the high of the first candle. In a bearish FVG, the high of the third candle is positioned below the low of the first candle. The space between these two wicks defines the FVG zone.
Within ICT and Smart Money Concepts frameworks, these gaps are interpreted as areas where price moved quickly, leaving limited trading activity at certain levels. As a result, these zones are often monitored as areas of interest if price revisits them in the future. However, not all FVGs share the same characteristics, and variations in formation context are what this indicator evaluates using its scoring system.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
The core premise behind FVG Quality Scorer is that gap detection alone does not capture the full context of how Fair Value Gaps form. On any given trading day, multiple FVGs can appear across timeframes, each with different characteristics depending on the surrounding price action. This indicator evaluates those characteristics using a structured scoring approach.
Not all FVGs form under the same conditions. For example, a gap created by a relatively small candle during low volume periods in a ranging market will differ in structure from one formed during a strong displacement move with increased volume, aligned with broader market structure and session timing. These differences are often considered when analyzing FVGs, but evaluating them manually across multiple factors and timeframes can be time intensive and subjective. FVG Quality Scorer standardizes this process by quantifying these characteristics into a consistent framework.
The indicator’s four-axis model reflects commonly used analytical considerations within ICT and Smart Money Concepts methodologies. These include measuring displacement strength, assessing volume characteristics, evaluating contextual positioning within a range or session, and identifying alignment with market structure. By organizing these factors into a rule-based system, the indicator provides a consistent method for comparing FVG formations based on their underlying attributes.
Axis 1: Displacement Strength (0 to 25 points)
The displacement candle is the middle candle of the three-bar FVG formation and is the candle responsible for creating the gap. This axis evaluates the characteristics of that candle based on its size, structure, and relation to surrounding price action. Candles with larger bodies relative to their total range, higher relative size compared to recent volatility, and alignment with neighboring candles are scored differently than candles with smaller bodies or more pronounced wicks.
The indicator evaluates three sub-metrics within this axis. Body-to-range ratio (0 to 10 points) measures how much of the candle’s total range is composed of the body versus the wicks. A ratio of 0.85 or higher receives 10 points, ratios between 0.70 and 0.85 receive 7 points, ratios between 0.55 and 0.70 receive 4 points, and anything below 0.55 receives zero.
ATR multiple (0 to 10 points) compares the displacement candle’s total range to the 14-period Average True Range. A range equal to or greater than 2 times the ATR receives 10 points, 1.5x to 2x receives 7 points, 1x to 1.5x receives 4 points, and values below 1x receive zero.
Consecutive displacement (0 to 5 points) evaluates whether the candles immediately before and after the displacement candle close in the same direction as the FVG. If both surrounding candles align, the FVG receives 5 points. If one aligns, it receives 2 points. If neither aligns, it receives zero. This metric reflects the consistency of direction across the three-candle formation.
Axis 2: Volume Delta (0 to 25 points)
Volume reflects how much activity occurred, while volume delta separates that activity into directional components based on price movement. By analyzing lower timeframe data, volume can be divided into buying and selling activity within the displacement candle, providing additional context on how volume was distributed during the move.
The indicator uses lower timeframe intrabar data (configurable, default 1 minute) to estimate this distribution. Each lower timeframe candle within the displacement bar is classified as bullish volume (close above open) or bearish volume (close at or below open), and these values are aggregated to form a directional breakdown.
This axis evaluates three sub-metrics. LTF dominance (0 to 12 points) measures the percentage of total volume on the displacement candle that aligns with the FVG direction. Values above 75% receive 12 points, 60% to 75% receive 8 points, 50% to 60% receive 4 points, and values below 50% receive zero.
Relative volume (0 to 8 points) compares the displacement candle’s volume to the 20-period volume average. Volume equal to or greater than 2 times the average receives 8 points, 1.5x to 2x receives 5 points, 1x to 1.5x receives 2 points, and values below the average receive zero.
Volume rising (0 to 5 points) evaluates whether volume increases across the three candles of the formation, where volume on the displacement candle exceeds the prior candle, and the prior candle exceeds the one before it. This metric captures the progression of volume across the formation.
Screenshot: Zoomed view showing the Delta volume panel below with visible volume spike on the displacement candle]
Axis 3: Contextual Location (0 to 25 points)
The location of an FVG within the recent price range provides additional context for how it formed. In ICT methodology, the range is often divided into two halves using the equilibrium (50%) level. The lower half is referred to as the “discount zone,” while the upper half is referred to as the “premium zone.”
A bullish FVG forming in the lower portion of the range is positioned within the discount zone, while a bearish FVG forming in the upper portion is positioned within the premium zone. FVGs that form closer to the midpoint or on the opposite side of the range can be described as having different contextual positioning relative to the defined range.
This indicator incorporates that positioning into its scoring by evaluating where the FVG forms within the selected lookback range, using a proportional approach rather than a fixed cutoff at the midpoint.
In addition to premium and discount positioning, other contextual factors can be used to describe how an FVG forms within the broader price environment. These include whether the FVG appears after a liquidity sweep, whether it is positioned within a higher timeframe FVG, and whether it forms during specific session windows. These elements provide additional structure for evaluating the formation context.
This axis evaluates four sub-metrics. Premium and Discount scoring (0 to 8 points) uses a proportional gradient across the recent price range defined by the Range Lookback setting. For bullish FVGs, gaps forming in the lower half of the range (below equilibrium) receive the full 8 points. Gaps forming above equilibrium receive a reduced score that decreases progressively as the FVG approaches the top of the range. The same logic is applied in reverse for bearish FVGs.
HTF FVG nesting (0 to 8 points) evaluates whether the current FVG is fully contained within a higher timeframe FVG of the same direction. The indicator retrieves higher timeframe data using the configurable HTF input and checks for this containment condition.
Post-sweep proximity (0 to 5 points) evaluates whether a swing level was exceeded shortly before the FVG formed. A sweep is defined as price moving beyond a swing high or swing low and then returning back within the prior range. This metric checks for that condition within a configurable lookback window.
Killzone timing (0 to 4 points) evaluates whether the FVG forms during predefined session windows. The indicator converts bar time to New York time and checks against four intervals: Asian session (20:00 to 00:00), London session (02:00 to 05:00), New York AM (09:30 to 11:00), and New York PM (13:30 to 16:00).
Axis 4: Structural Alignment (0 to 25 points)
Market structure provides a framework for describing how price is evolving over time. This axis evaluates how the direction of an FVG relates to the current structure defined by swing highs and swing lows.
The indicator identifies swing highs and swing lows using pivot detection with a configurable swing length and evaluates three sub-metrics. Market structure classification (0 to 10 points) compares the most recent swing highs and swing lows to determine whether price is forming higher highs and higher lows, lower highs and lower lows, or a mixed sequence. These conditions are labeled as bullish, bearish, or mixed. Scoring is then assigned based on the relationship between the FVG direction and the identified structure.
EMA alignment (0 to 8 points) evaluates the position of price relative to a configurable Exponential Moving Average (default 50 period). For bullish FVGs, higher scores are assigned when price is positioned above the EMA, while for bearish FVGs, higher scores are assigned when price is positioned below the EMA. Scores are reduced when price is positioned on the opposite side relative to the FVG direction.
Recent BOS detection (0 to 7 points) evaluates whether a Break of Structure (BOS) has occurred within a configurable lookback window (default 20 bars). A BOS is defined as price closing beyond a recent swing high or swing low. The indicator uses crossover logic to identify these events and ensures each structural break is only counted once. Scoring is based on whether a recent BOS aligns with, differs from, or is absent relative to the FVG direction.
Screenshot: Showing BoS and HH
Grade Assignment System
Instead of using a single composite score cutoff, FVG Quality Scorer applies a per-axis threshold system for grade assignment. For each grade level (A, B, C), you can define which axes are required and the minimum score each must meet. An FVG must satisfy all required axis thresholds to be assigned a given grade. This structure ensures that each selected dimension is evaluated independently rather than relying on a single averaged value.
For example, with default settings, an A grade requires all four axes to meet a minimum score of 12 out of 25. A B grade requires only the Displacement and Volume axes to meet a minimum of 12, while a C grade requires those same axes to meet a minimum of 8. Any FVG that does not meet the criteria for A, B, or C is assigned a D grade. These thresholds and required axes can be fully customized for each grade level.
A weighted composite score (0 to 100) is also calculated and displayed in the score label tooltip for reference, but it does not determine the assigned grade. This allows the grading system to operate independently of the composite value. The composite score uses configurable axis weights (default 25 per axis), which can be adjusted to modify how each dimension contributes to the total score.
Lifecycle State Machine
Each FVG is tracked through a series of lifecycle states as price interacts with the zone, and these transitions occur automatically regardless of grade. The lifecycle begins at Fresh when the FVG forms and no candle has interacted with the zone boundary. When price first wicks into the boundary (detected using crossover logic that excludes the formation candle), the state transitions to Tested.
If price closes within the zone, the state changes to Partially Filled, and the visual appearance of the box is adjusted to reflect this state. If price later closes back outside the zone, the state returns to Tested rather than Fresh, as the zone has already been interacted with. When price fully crosses through the zone, the FVG is marked as Mitigated. The definition of mitigation can be configured to require either a wick crossing or a full candle close beyond the zone.
Mitigated FVGs can either be removed from the chart or remain visible as dimmed boxes using the Show Historic setting. When mitigation occurs, the right edge of the box is fixed at the candle where the event took place. The current lifecycle state is displayed in the tooltip alongside the scoring breakdown when hovering over the score label.
🔹 Dashboard
The dashboard provides a statistical summary of FVG activity across the visible chart history. It is structured as a table with one row per grade (A through D) and three data columns. The Active column displays the number of unmitigated FVGs currently present on the chart for each grade. The Total column shows the total number of FVGs formed for each grade across the chart history. The Avg Fill Time column displays the average number of bars between formation and mitigation for FVGs of that grade that have been fully mitigated. This calculation includes only completed (mitigated) FVGs.
A bottom row in the dashboard tracks the nearest active A-grade FVG relative to the current price. It displays the distance from the current close to the nearest boundary of the zone (the lower boundary if the FVG is above price, or the upper boundary if below), along with a directional indicator. If price is currently within an A-grade zone, the dashboard displays “Inside zone.” If no A-grade FVGs are active, it displays “None active.” The dashboard position and text size can be configured.
Screenshot: Close up of the dashboard table showing all four grade rows with Active, Total, and Avg Fill Time populated. Include the Nearest A row showing a directional arrow with distance.
🔹 Score Labels and Tooltips
Each FVG box displays its grade letter (A, B, C, or D) centered inside the zone. At the right edge of the box, a small label shows the composite quality score out of 100. Hovering over this label reveals a detailed tooltip with the complete scoring breakdown: the total score, the grade, individual scores for all four axes (each out of 25), and the current lifecycle state. This gives you instant access to why a particular FVG earned its grade without needing to open any settings. Score labels can be toggled off using the Show Score Labels setting if you prefer a cleaner chart.
INPUTS:
🔹 Settings
◇ Swing Length: Lookback period for pivot high and pivot low detection used in market structure analysis, BOS tracking, and sweep detection. Higher values produce fewer, more significant swing points. Default 5.
◇ ATR Length: Period for the Average True Range calculation used in displacement scoring. Default 14.
◇ LTF for Volume Delta: Lower timeframe used to calculate intrabar volume delta on the displacement candle. Default 1 minute. Must be lower than the chart timeframe for accurate results.
◇ HTF for FVG Nesting: Higher timeframe checked for FVG nesting confluence. Default 60 minutes (1 hour). Should be higher than the chart timeframe.
◇ Range Lookback: Number of bars used to calculate the premium and discount range for contextual scoring. Default 50.
◇ Sweep Proximity Window: Number of bars to look back for recent liquidity sweeps when scoring post sweep proximity. Default 5.
◇ BOS/CHoCH Lookback: Maximum number of bars a Break of Structure can be from the current bar and still be considered "recent" for structural scoring. Default 20.
◇ EMA Length: Period for the Exponential Moving Average used in structural alignment scoring. Default 50.
◇ Mitigation Method: Determines how FVG invalidation is measured. Wick mode triggers mitigation when a wick crosses through the zone. Close mode requires a candle close beyond the zone. Default Wick.
Screenshot of the Settings input group in PulseWire showing all the configurable parameters: Swing Length, ATR Length, LTF, HTF, Range Lookback, Sweep Window, BOS Lookback, EMA Length, and Mitigation Method.
🔹 Axis Weights
◇ Displacement Weight: Relative weight applied to the Displacement Strength axis when calculating the composite score displayed in the tooltip. Higher weight increases this axis's influence on the total score. Default 25.
◇ Volume Delta Weight: Relative weight for the Volume Delta axis. Default 25.
◇ Contextual Weight: Relative weight for the Contextual Location axis. Default 25.
◇ Structural Weight: Relative weight for the Structural Alignment axis. Default 25.
🔹 Display
◇ Minimum Display Grade: Hides FVGs below this grade threshold from the chart. Set to D to show all grades, or A to show only the highest quality gaps. Default C.
◇ Show Historic (Mitigated): When enabled, mitigated FVGs remain visible as grayed out boxes instead of being removed from the chart. Useful for studying how different grade levels performed historically. Default off.
◇ Show Score Labels: Toggles the score labels at the right edge of each FVG box. Hover over the label to see the full axis breakdown tooltip. Default on.
◇ Grade Colors (A → D): Four color pickers on a single row controlling the color for each grade tier. Defaults are green (A), teal (B), amber (C), and gray (D).
🔹 Dashboard
◇ Show Dashboard: Toggles the statistics dashboard on or off. Default on.
◇ Dashboard Position: Choose from all nine screen positions (top, middle, bottom combined with left, center, right). Default Top Right.
◇ Dashboard Size: Controls the text size of the dashboard. Options are Tiny, Small, Normal, and Large. Default Small.
🔹 A Grade / B Grade / C Grade
◇ Each grade tier has its own settings group with four minimum score thresholds (one per axis, 0 to 25) and four toggle switches to select which axes are required for that grade. An FVG must meet or exceed the minimum score on every required axis to earn the grade. Grades are checked top down: A first, then B, then C. Any FVG that fails all three checks receives a D grade. Unchecking a required axis means that axis is ignored for that grade's evaluation, allowing you to create grade profiles that focus on specific quality dimensions.
Screenshot of the settings panel showing the A Grade, and B Grade input groups with their min score thresholds and require toggles visible.
ALERTS:
◇ New A Grade FVG: Fires when a new Fair Value Gap is detected that meets all A grade requirements. Use this to get notified of the highest quality setups without watching the chart continuously.
◇ New B Grade FVG: Fires when a new Fair Value Gap is detected that meets B grade requirements but does not qualify for A grade.
UNIQUENESS:
Many FVG indicators on PulseWire focus on detecting gaps and may include basic filtering based on size or direction. FVG Quality Scorer extends this approach by evaluating each gap across multiple dimensions, including lower timeframe volume distribution, higher timeframe positioning, market structure classification, and session-based context. These factors are combined into a structured scoring framework.
The axis-based grading system provides an alternative to single-threshold scoring methods. Instead of relying on a single composite cutoff, each grade level is determined by minimum requirements across selected axes. This ensures that each specified dimension meets defined criteria rather than being offset by higher values in other areas.
The lifecycle state system tracks how each FVG evolves as price interacts with the zone, while the dashboard aggregates metrics such as counts and average bars to mitigation across grade levels. These features provide a structured way to review how FVGs have behaved over the selected chart history and to adjust grading configurations accordingly. Indicator
Wedge Reversal Detector [AGPro Series]Wedge Reversal Detector
🔷 Overview
Wedge Reversal Detector is a focused chart-pattern engine built for one specific structure: the rising wedge and falling wedge. Instead of scanning every possible reversal pattern, drawing broad support and resistance, or behaving like a generic breakout dashboard, this script studies the geometry of a wedge itself: confirmed pivot boundaries, slope convergence, pattern maturity, reversal break quality, projected reaction zone, and invalidation context.
The goal is to make wedge analysis cleaner and more objective on a live chart. A valid wedge is not treated as just two random trendlines. The script requires a confirmed pivot structure, a meaningful initial width, a narrowing final width, and the correct slope relationship for either a rising wedge or a falling wedge. Once a qualified structure is active, it draws the converging boundaries directly on the chart and waits for a reversal-side break.
The detector also includes two visual preparation layers. The developing-wedge preview layer can draw dashed boundaries before the structure is fully armed. The Wedge Radar layer keeps the latest compression window visible when no confirmed candidate is active. Radar projection is capped so higher-timeframe charts stay clean, and low-compression radar states can remain boundary-only until the structure becomes visually meaningful. Break labels, reaction zones, and invalidation guides remain reserved for stricter confirmed candidates. This keeps the chart visually informative without weakening the actual confirmation logic.
The visual layer includes compact boundary tags that label the upper and lower rails directly on the right side of the structure. These tags are designed as chart annotations, not signal spam: they identify whether the rail is acting as a rejection rail, compression rail, reclaim rail, break rail, or invalidation rail. A single optional compression tag can also summarize the current radar or wedge state.
🔶 Why This Is Different
Many wedge indicators stop at pattern drawing. Others become broad pattern scanners that mix wedges with channels, double tops, double bottoms, triangles, support and resistance zones, and unrelated reversal signals. Wedge Reversal Detector intentionally stays narrower.
Its edge is the sequence:
1. Detect a qualified rising or falling wedge from confirmed pivots.
2. Measure whether the boundaries are genuinely converging.
3. Grade wedge maturity before any break occurs.
4. Confirm the reversal-side break with an optional close-based rule and ATR buffer.
5. Score break quality using maturity, boundary expansion, candle structure, close location, and volume participation.
6. Project a concept-native reaction zone from the wedge width.
7. Display a clean invalidation guide so the structure remains readable after the break.
This makes the script a wedge lifecycle tool, not a general reversal scanner.
💎 Unique Edge
The most important difference is that the script treats a wedge as a living geometric compression structure. It does not simply connect the latest two highs and lows and call the pattern complete. A candidate must pass span, width, convergence, and slope requirements before it becomes active.
For rising wedges, the script looks for rising pivot highs and rising pivot lows where the lower boundary is climbing faster than the upper boundary. This creates upward compression, which is the core geometry behind a rising wedge. For falling wedges, it looks for falling pivot highs and falling pivot lows where the upper boundary is falling faster than the lower boundary. This creates downward compression, which is the core geometry behind a falling wedge.
That difference matters because many weak wedge tools confuse ordinary channels with wedge compression. This script separates those structures by requiring the final width to be materially smaller than the starting width.
🔹 Methodology
The engine begins with confirmed pivot highs and pivot lows. The user controls the pivot confirmation length, which allows the detector to be tuned for intraday, swing, or higher-timeframe charts.
From the latest confirmed swing pair, the script builds two boundary lines:
- Upper boundary from confirmed pivot highs
- Lower boundary from confirmed pivot lows
The detector then evaluates:
- Pattern span in bars
- Initial boundary width measured against ATR
- Final boundary width relative to the starting width
- Upper boundary slope
- Lower boundary slope
- Correct rising-wedge or falling-wedge geometry
Only when those requirements align does the pattern become an active wedge.
🔸 Break Quality Model
A wedge break is scored only after the reversal-side boundary is broken. The break quality score is built from multiple factors:
- Wedge maturity
- Distance beyond the broken boundary
- Candle body participation
- Close location inside the break candle
- Volume ratio versus recent average volume
The score is translated into a simple grade so the chart stays easy to read. This does not claim that a break must continue. It gives the user a structured read of how strong the confirmed break appears under the script's own rules.
🎯 Projected Reaction Zone
After a confirmed wedge reversal break, the script projects a reaction zone using the initial wedge width. This zone is not a generic support/resistance box. It is tied directly to the wedge geometry and appears only after the structure confirms. The goal is to show the next area where price may naturally react after escaping the compression.
The zone width and projection length are configurable, so users can keep the chart compact or allow more forward context depending on timeframe and style.
🧭 Invalidation Context
The script also draws an invalidation guide after a confirmed break. For a bullish falling-wedge break, invalidation is tracked below the opposite wedge boundary with an ATR buffer. For a bearish rising-wedge break, invalidation is tracked above the opposite wedge boundary with an ATR buffer.
This keeps the post-break structure organized without adding trade instructions or turning the script into a strategy.
📊 Panel
The compact AGPro panel summarizes the current wedge lifecycle:
- Wedge Type
- Maturity
- Break Quality
- Target Zone
Panel location, panel theme, and panel font size are adjustable from settings. The first panel row uses the AGPro standard: one merged blue header row containing only the panel title.
⚙️ Key Settings
- Pivot Confirmation Length controls how strict the swing structure is.
- Minimum Wedge Span filters out tiny patterns.
- Maximum Final Width Ratio controls how much convergence is required.
- Developing Wedge Preview Ratio controls how early dashed formation boundaries can appear.
- Wedge Radar controls the latest-window visual radar that prevents panel-only charts while waiting for confirmed wedge geometry.
- Radar Projection Bars limits how far radar boundaries extend into future bars.
- Radar Fill Threshold keeps low-compression radar structures from creating oversized filled areas.
- Boundary Tags add compact right-side rail annotations so the structure is easier to read without covering candles.
- Compression Tag shows one status label for radar compression or armed-wedge maturity.
- Boundary Break Buffer ATR adds confirmation distance beyond the wedge boundary.
- Volume Confirmation Ratio contributes to break quality scoring.
- Projection Length Bars controls how long the reaction zone extends forward.
- Label Font Size and Label Offset ATR help maintain a clean chart presentation.
🧩 How It Differs From Other AGPro Tools
This script is intentionally separate from AGPro channel, breakout, liquidity, and broad reversal tools.
It is not a channel map. Channel tools organize parallel or multi-family structure. Wedge Reversal Detector only studies converging wedge geometry.
It is not a double top or double bottom detector. Those patterns are based on repeated horizontal rejection and neckline behavior. This script is based on converging diagonal boundaries.
It is not a broad reversal scanner. It does not combine every reversal pattern into one dashboard. It stays focused on wedge compression, wedge maturity, reversal break, projected reaction zone, and invalidation.
It is not a generic breakout quality tool. Break quality is evaluated only after a valid rising or falling wedge exists.
🔔 Alerts
The script includes alerts for:
- Bullish falling wedge break
- Bearish rising wedge break
- High quality wedge break
- Wedge invalidation
These alerts are event notifications for the detected structure, not automated trading instructions.
✨ Best Use Case
Wedge Reversal Detector is best suited for traders who already watch chart patterns, market structure, compression, and failed trend continuation. It helps reduce manual drawing by highlighting qualified wedge structures, then keeping the chart organized through the confirmation, projection, and invalidation phases.
The result is a clean, premium, wedge-specific workflow designed for public chart reading: fewer random lines, fewer noisy labels, and a clearer view of whether the wedge structure is still forming, breaking, projecting, or invalidating.
Indicator
RSI Failure Swing Detector [AGPro Series]RSI Failure Swing Detector
🔹 **Overview**
RSI Failure Swing Detector is a focused RSI reversal-structure tool built around one classic momentum concept: the confirmed RSI failure swing.
Instead of treating every oversold or overbought RSI reading as a reversal condition, this script waits for the full internal RSI sequence:
1. RSI reaches an extreme zone.
2. RSI recovers or reacts away from that extreme.
3. RSI pulls back while respecting the original RSI extreme.
4. RSI breaks the internal swing level that confirms the failure swing.
Only after that sequence is complete does the script mark a confirmed trigger on the chart.
The purpose is to make RSI failure swings easier to read in real time without turning the tool into a generic divergence scanner, RSI pressure map, or broad reversal dashboard.
🔹 **What Makes It Different**
Most RSI tools focus on one of three common ideas:
- RSI overbought and oversold levels.
- RSI divergence against price.
- RSI momentum or pressure state.
This script is intentionally different.
RSI Failure Swing Detector does not look for RSI divergence. It does not compare RSI swings against price swings to create hidden or regular divergence logic. It also does not measure RSI pressure, trend pressure, or directional dominance.
Its job is narrower and cleaner:
**It detects when RSI builds a classic failure swing sequence and then confirms that sequence through an internal RSI swing break.**
That keeps the tool separated from existing AGPro momentum scripts such as RSI Pressure Map, Stochastic Exhaustion Map, Multi-Oscillator Consensus Engine, Divergence Stack Scanner, and broader reversal-quality tools. The analytical lane here is not "is pressure building?" or "is price diverging?" The lane is:
**Has RSI completed a confirmed failure swing sequence?**
🔹 **Core Logic**
The bullish model starts when RSI moves into the oversold zone. The script then tracks the first recovery leg, waits for a pullback that stays meaningfully above the original RSI low, and confirms the pattern only when RSI breaks the recovery high.
The bearish model works in the opposite direction. It starts when RSI moves into the overbought zone, tracks the first reaction leg, waits for a bounce that stays meaningfully below the original RSI high, and confirms the pattern only when RSI breaks the reaction low.
This creates a clean four-part sequence:
- Extreme
- Recovery or reaction
- Controlled pullback
- Confirmed internal break
The confirmation step is important. The script is designed to avoid printing premature reversal labels while RSI is still only sitting at an extreme.
🔹 **Trigger Pockets**
When a failure swing is confirmed, the script can project a short chart-level trigger pocket from the confirmation bar.
These pockets are not generic support or resistance zones. They are failure-swing context zones designed to help the user visually track whether price respects or loses the area around a confirmed momentum trigger.
The pocket is time-limited, ATR-scaled, and capped by a maximum visible pocket setting so the chart remains clean.
🔹 **Panel**
The AGPro panel summarizes the active environment:
- RSI State
- Swing Stage
- Confirmation
- Sequence Score
- Trigger Pocket status
The first panel row follows the AGPro standard: one merged blue header row containing only the script title. Panel location, panel theme, label size, and panel font size are all configurable from settings.
🔹 **Visual Design**
The chart layer is intentionally restrained.
Stage labels explain where the RSI sequence is developing, while confirmed trigger labels appear only after the failure swing is complete. The default stage-label mode highlights only the final setup stage before confirmation, keeping lower-timeframe charts cleaner while still preserving the sequence logic.
Label cooldowns, maximum visible label limits, ATR-based offsets, compact trigger labels, and capped trigger pockets are included to keep the chart readable.
The default visual style is designed for a premium public chart: informative, but not crowded.
🔹 **Inputs**
Key settings include:
- RSI Length
- RSI Source
- Oversold Level
- Overbought Level
- Minimum RSI Separation
- Minimum RSI Pullback
- Maximum Sequence Bars
- Confirm On Bar Close
- Stage Label Detail
- Trigger Pocket Depth
- Trigger Pocket Projection Bars
- Panel Signal Memory Bars
- Label and panel size controls
- Panel location and theme controls
These settings allow the user to tune the detector for different symbols and timeframes while preserving the core failure swing structure.
🔹 **Best Use Case**
RSI Failure Swing Detector is best used when the trader wants a clean visual framework for RSI reversal structure without adding divergence complexity or broad pressure-state interpretation.
It can be useful for reviewing moments when RSI fails to retest its prior extreme and then confirms a momentum turn through its own internal swing level.
It is designed to organize one specific RSI pattern with cleaner confirmation, better visual hierarchy, and a focused chart workflow.
Indicator
