Delta Imbalance Map [JOAT]Delta Imbalance Map
Introduction
Delta Imbalance Map is an open-source imbalance mapping tool that identifies fair value gaps and scores them using gap size, candle drive, volume rank, and lower-timeframe participation tilt. The goal is to show not only where an imbalance exists, but whether the participation behind it is meaningfully tilted.
The problem this indicator solves is noisy zone plotting. Many imbalance tools mark every three-bar gap with equal importance. Delta Imbalance Map uses permissive defaults so important gaps appear often, then manages overlap so newer or stronger zones replace stale overlapping zones. Each active zone can carry its own compact right-edge data tag with price range, score, participation lead, and gap size in ATR units.
Core Concepts
1. Three-Bar Imbalance Detection
The script detects bullish gaps when the current low is above the high two bars back, and bearish gaps when the current high is below the low two bars back.
bullGap = low > high
bearGap = high < low
2. Lower-Timeframe Participation Split
The script requests lower-timeframe volume, close, and open arrays. Intrabars closing up are counted as buyer participation, intrabars closing down are counted as seller participation, and flat intrabars are split.
3. Composite Zone Score
Each new zone receives a quality score from gap size relative to ATR, lower-timeframe tilt, candle body drive, and volume rank. Optional minimum tilt and volume-rank inputs can tighten the feed when a chart becomes too busy.
4. Overlap Management
If a new zone overlaps an existing zone, filled overlaps are cleared and active overlaps are resolved by score. This keeps a generous stream of zones without stacking many boxes at the same price.
5. Zone Rails and Data Tags
Each imbalance draws a subtle outer glow box, direction-colored gradient edge, green buy-participation section, red sell-participation section, dashed top and bottom price rails, a dotted internal participation split line, and compact labels beside the related zone. Visible labels are capped and staggered to avoid covering the chart.
Features
ATR-filtered imbalance detection: Removes tiny gaps below the selected size threshold
Lower-timeframe delta proxy: Uses intrabar candle direction to estimate buyer/seller participation
Split-zone coloring: Zones are divided into bullish and bearish participation areas
Gradient glow boxes: Outer zone shell shifts from cyan/violet into bull/bear edge colors based on score
Price rail system: Top, bottom, and internal split lines extend to the right edge
Compact capped tags: Active and filled tags are limited and staggered to reduce label overlap
Quality score tags: Each active zone can show price range, score, participation lead, and ATR gap size
Mitigation modes: Touch or full-fill logic
Overlap guard: Keeps the stronger of overlapping zones
Color-faded filled zones: Filled zones remain visible by default with compact zone labels
Candle tilt tinting: Candles can be softly tinted by the active imbalance tilt
Birth-bar mitigation guard: New zones cannot be marked filled on the same candle they are created
Top-right dashboard: Active count, filled count, bull/bear count, average score, tilt, lower timeframe, state, and fill mode
Alerts: New bullish and bearish imbalance creation events
Input Parameters
Detection:
Delta Lower TF: Lower timeframe used for participation split
Min Gap ATR: Minimum gap size relative to ATR
Min Delta Tilt: Minimum buyer/seller skew needed to accept a zone
Min Volume Rank: Minimum volume percentile required for plotting a new zone
Mitigation: Touch or Full Fill
Prefer Stronger Overlap: Removes weaker overlapping zones
Zone Life Bars: Maximum active lifetime for unfilled zones
How to Use This Indicator
Step 1: Look for active zones that remain unfilled.
Step 2: Read the tag score and buyer/seller tilt.
Step 3: Use the top and bottom rails as the exact price boundaries of the imbalance.
Step 4: Use the dashboard state to see if active zones lean buyer-led, seller-led, or balanced.
Step 5: Treat mitigated zones as resolved context rather than fresh trade signals.
Indicator Limitations
Lower-timeframe participation is a candle-direction volume proxy, not true bid/ask delta
Some lower timeframes may not be available on every PulseWire plan or symbol
Fair value gaps can remain open for long periods or fail to react when revisited
Signals and zones are created on confirmed bars to reduce repaint risk
Originality Statement
Delta Imbalance Map is original in its combination of ATR filtering, lower-timeframe participation tilt, composite scoring, overlap prioritization, mitigation lifecycle, and dashboard summarization. It does not copy third-party source code.
Disclaimer
This open-source indicator is for educational and informational use only. It is not financial advice and does not predict that an imbalance will fill or reverse price. Always use proper risk management.
-Made with passion by jackofalltrades
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Elaris FVG Inversion ProElaris FVG Inversion Pro
Advanced Fair Value Gap & Inversion Mapping System
Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart.
The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse.
Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior.
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Core Features
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• Bullish & Bearish Fair Value Gap Detection
Automatically identifies three-candle imbalance structures in real time.
• Inversion Fair Value Gaps (IFVG)
Detects when previously established imbalance zones transition into potential reversal zones after invalidation.
• Non-Repainting Confirmed Detection
Signals and zones can be confirmed only after candle close to maintain stable historical plotting.
• Smart Gap Filtering
Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones.
• Dynamic Zone Management
Zones automatically extend forward and can be configured to expire or hide after mitigation.
• Mitigation Tracking
Supports multiple mitigation models including:
* Proximal
* Midpoint (50%)
* Distal
• Quality Scoring System
Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances.
• Dark & Light Mode Compatible
Designed for clean visibility across different PulseWire chart themes.
• Professional Dashboard
Displays active bullish, bearish, and inversion zones along with trend-state information.
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How It Works
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Bullish FVG:
Forms when price leaves an upside imbalance between candles, potentially creating a future demand area.
Bearish FVG:
Forms when price leaves a downside imbalance, potentially acting as future supply.
IFVG:
Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area.
The indicator can be used for:
* Trend continuation setups
* Pullback entries
* Liquidity-based reactions
* Market structure analysis
* Confluence with support/resistance or liquidity concepts
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Best Practices
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Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps.
Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions.
For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps.
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Notes
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This indicator is intended for technical analysis and educational purposes.
No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
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xLevTrading AI SMC Algo v.0.6The xLevTrading AI Smart Money Concept Indicator is a significantly expanded and independently developed institutional trading framework based on LuxAlgo’s Smart Money Concept source code. While the script builds upon established Smart Money Concept principles such as market structure, liquidity analysis, order blocks, and fair value gaps, the internal logic, filtering systems, visual prioritization, and execution tools have been heavily redesigned and extended to create a more adaptive and context-aware analytical environment.
The primary objective of this indicator is not to generate excessive signals, but to help traders better understand how price interacts with liquidity, imbalance, and structural shifts in real market conditions. Instead of treating Smart Money Concepts as isolated visual tools, the indicator combines multiple layers of analysis into a unified framework where each component contributes contextual information to the others. This allows traders to evaluate not only where price currently is, but also why certain areas may become important during future market movement.
At the core of the system is the Adaptive Market Structure Engine, which acts as the foundation for all higher-level calculations. This engine continuously evaluates swing highs, swing lows, internal structure transitions, and external break-of-structure events in order to determine directional context across changing market conditions.
Unlike simplified structure indicators that only label highs and lows, the system distinguishes between internal market behavior and broader external trend development. This distinction allows traders to identify whether price action is currently impulsive, corrective, ranging, or transitioning into a potential reversal phase.
The structure engine also serves as a contextual filter for all other modules. Order blocks, fair value gaps, liquidity sweeps, and entry confirmations are evaluated relative to active structural conditions. This prevents isolated signals from appearing without broader market confirmation and helps traders focus on areas where multiple concepts align simultaneously.
One of the major components of the framework is the enhanced Order Block Engine. Traditional Smart Money Concept implementations often display large amounts of order blocks regardless of quality or contextual relevance, which can quickly overcrowd charts and reduce clarity. In this script, the order block system was redesigned to prioritize quality, structural alignment, and reaction probability instead of quantity.
The engine analyzes several contextual variables before validating a zone, including displacement strength, mitigation behavior, structural positioning, surrounding liquidity conditions, and overall market alignment. Zones that do not meet minimum contextual requirements are filtered out in order to reduce noise and improve readability.
This process creates a cleaner chart environment where institutional-style supply and demand zones become easier to interpret. The goal is not simply to identify historical candles, but to highlight areas where market participants may still have unfilled interest or where future reactions could become more likely.
To further improve usability, the indicator introduces Dynamic Fill Technology across both order blocks and fair value gaps. Instead of displaying every zone with equal visual weight, transparency levels dynamically adapt according to the internal scoring and contextual relevance of each area.
This visual hierarchy helps traders quickly distinguish stronger zones from weaker ones without manually analyzing every individual structure. Higher-confidence zones appear more visually dominant, while weaker areas fade into the background. The intention behind this system is to transform complex structural information into an intuitive visual workflow that supports faster decision-making during live market conditions.
Another major feature is the Dual Fair Value Gap Engine. Fair value gaps represent areas where price moved aggressively, creating temporary inefficiencies in the market. These imbalances often become important reaction zones as price later revisits them in an attempt to rebalance liquidity and restore market efficiency.
The Dual FVG system was specifically developed to identify strong imbalances across both lower timeframes (LTF) and higher timeframes (HTF) simultaneously. This allows traders to observe not only short-term inefficiencies, but also broader institutional imbalances that may influence market behavior over extended periods.
One of the key advantages of this approach is the ability to identify overlapping imbalances between different timeframe structures. When lower-timeframe and higher-timeframe fair value gaps align within similar price regions, these areas can represent stronger institutional interest and potentially more precise market impulses.
This multi-timeframe imbalance framework helps traders better understand where price may accelerate, react, or seek liquidity. By combining local execution zones with broader macro inefficiencies, traders gain additional context for identifying higher-probability entries and continuation opportunities.
The Liquidity Engine represents another central pillar of the framework. Liquidity behavior is one of the most important concepts in institutional trading because price often seeks areas where stop-loss orders, breakout traders, and resting liquidity are concentrated.
Instead of relying solely on static support and resistance levels, the liquidity system actively identifies equal highs, equal lows, liquidity pools, sweep conditions, and engineered liquidity grabs in real time. These events are then evaluated relative to structure and directional context.
This allows traders to better understand potential market intent rather than simply reacting to price movement after it has already occurred. For example, a liquidity sweep occurring against higher-timeframe directional bias may indicate temporary stop-hunting behavior rather than genuine reversal strength.
The interaction between liquidity and structure becomes especially important when combined with order blocks and fair value gaps. Areas where liquidity sweeps occur directly into structurally aligned imbalance zones can often provide significantly stronger contextual setups than isolated technical signals.
To further support directional analysis, the indicator also incorporates a Multi-Timeframe Moving Average Module. This feature provides optional trend filtering and directional confirmation by allowing traders to compare lower-timeframe execution against higher-timeframe trend conditions.
The moving average framework is not intended as a standalone signal generator, but rather as an additional contextual layer that helps traders avoid counter-trend positioning during strongly directional environments. This can be particularly useful when combining liquidity sweeps with continuation structures.
One of the newest additions to the framework is the Entry Finder Module, which is currently in Beta development. The purpose of the Entry Finder is not to replace discretionary trading decisions, but to assist traders in locating areas where multiple forms of confirmation align simultaneously.
The Entry Finder analyzes the relationship between structure direction, liquidity interaction, order block positioning, fair value gap alignment, and market momentum in order to identify potential execution zones. The system attempts to detect moments where price may be transitioning from liquidity collection into directional continuation.
For example, during bullish market conditions, the Entry Finder may identify a scenario where downside liquidity is swept below recent lows before price re-enters a bullish order block or bullish fair value gap that aligns with higher-timeframe structure. In bearish environments, the same logic can apply inversely after upside liquidity has been collected.
The purpose of this process is to help traders avoid emotional momentum entries and instead focus on structurally supported retracement opportunities where institutional participation may become more probable.
The Entry Finder can also assist traders by improving timing during volatile conditions. Many traders correctly identify directional bias but struggle with execution precision. By highlighting areas where liquidity, imbalance, and structure align simultaneously, the system attempts to improve entry location and reduce unnecessary chasing behavior.
Because the Entry Finder remains in Beta, its filtering logic and confirmation models are still being refined. Current versions should be viewed as execution assistance tools rather than fully automated signal systems. Traders are encouraged to combine the Entry Finder with their own risk management and market interpretation.
In addition to its analytical capabilities, the overall design philosophy of the indicator focuses heavily on chart readability and workflow efficiency. One of the common challenges with Smart Money Concept tools is visual overload caused by excessive labels, overlapping zones, and unnecessary calculations appearing simultaneously.
This framework was designed to reduce that issue through selective filtering, contextual prioritization, and dynamic visual weighting. Rather than attempting to display every possible technical event, the indicator focuses on highlighting areas where multiple concepts converge.
The result is a cleaner trading environment that allows users to focus more effectively on liquidity behavior, structural shifts, and execution planning without becoming overwhelmed by chart clutter.
The xLevTrading AI Smart Money Concept Indicator should be viewed as a professional-grade analytical framework designed for discretionary traders who want a deeper understanding of institutional price behavior. By combining enhanced Smart Money Concept principles with proprietary filtering systems, dynamic visualization methods, liquidity analysis, and multi-timeframe contextual alignment, the script aims to transform complex market behavior into a more structured and actionable decision-making process.
This indicator does not guarantee profitable trades and should not be interpreted as financial advice. It is intended as a decision-support and market-structure analysis tool that assists traders in interpreting price action, identifying contextual confluence, and improving overall market awareness across different trading environments.
Chart Visualization & Color Structure
To improve chart readability and help traders quickly distinguish between different market concepts, the indicator uses a structured color hierarchy across all major components. The visual system was intentionally designed to reduce confusion during live analysis and to make the interaction between liquidity, structure, order blocks, and fair value gaps easier to interpret.
Bearish higher-timeframe order blocks are displayed in purple. These zones represent institutional-style supply areas that align with broader bearish market structure and may act as potential reaction or continuation zones during retracements.
Bearish higher-timeframe fair value gaps (HTF FVGs) are displayed in orange. These imbalance zones represent aggressive bearish displacement on higher timeframes and are intended to highlight areas where price inefficiencies may still attract future reactions or rebalancing behavior.
Bearish chart timeframe fair value gaps are displayed in red. These zones reflect local bearish imbalances directly on the active chart timeframe and are primarily used for short-term execution analysis and momentum continuation setups.
Bullish chart timeframe fair value gaps are displayed in green. These indicate local bullish inefficiencies where price moved aggressively to the upside, potentially leaving behind imbalance zones that may later provide support during retracements.
Bullish higher-timeframe fair value gaps are displayed in turquoise. These zones represent larger bullish imbalances from higher timeframe price action and are intended to provide macro directional context and stronger institutional reaction areas.
The interaction between these colors and zones is an important part of the overall framework. Traders can use overlapping higher-timeframe and lower-timeframe imbalances to identify areas where multiple forms of market inefficiency align simultaneously. For example, when a lower-timeframe bullish fair value gap develops inside a higher-timeframe bullish imbalance zone, this may indicate stronger continuation potential and improved structural confluence.
The chart layout shown in the publication intentionally focuses only on the indicator’s own analytical components without unnecessary overlays or unrelated tools. This cleaner presentation is designed to help traders clearly identify how the different modules interact with one another in real market conditions.
Labels such as Break of Structure (BOS), Change of Character (CHoCH), liquidity sweeps, moving averages, order blocks, and fair value gaps are displayed directly within their relevant market context to support visual interpretation and execution planning.
Indicator
ICT Dealing Range [Malibu]ICT Dealing Range Engine is an open-source market structure and imbalance indicator built to organize multiple ICT-style concepts inside a single live dealing range framework. Instead of plotting Fair Value Gaps, Order Blocks, Breaker Blocks, and equilibrium zones as disconnected elements, this script uses the active dealing range as a structural engine that helps filter, organize, and maintain the most relevant zones around current price.
The purpose of this indicator is not to flood the chart with every possible imbalance or block. Its purpose is to build a cleaner, more contextual map of price by combining dealing range logic, equilibrium, liquidity interaction, market structure shifts, Fair Value Gaps, Inverted Fair Value Gaps, Order Blocks, and Breaker Blocks into one coordinated framework. This makes the script especially useful for traders who want to study price delivery inside a living range rather than treat each concept as an isolated label.
At the center of the script is a rolling dealing range calculated from a user-defined lookback window. The highest high and lowest low within that window define the active range boundaries, while the midpoint defines the equilibrium level. These values are not drawn as static references. They continuously update with market movement, which allows the range to function as a live structural context rather than a fixed historical box. The range can be visually extended to the right and styled with its own fill and boundary colors so that it remains readable without overwhelming the chart.
This range engine is what gives the script its identity. Many indicators can detect FVGs, Order Blocks, or swing-based zones, but they often do so everywhere on the chart without a hierarchy of relevance. In this script, the dealing range can act as a filter, meaning zones can be accepted, preserved, or removed according to whether they belong to the active structural window. That design choice helps reduce clutter and keeps the chart focused on what is currently most relevant from a structural perspective. Instead of treating the range as decoration, the script turns it into the framework that governs how other zones are interpreted.
The indicator can display the active dealing range itself, including the range high, range low, and optional equilibrium line. On top of that structural layer, it can detect bullish and bearish Fair Value Gaps, convert broken gaps into Inverted Fair Value Gaps, identify bullish and bearish Order Blocks after liquidity and structure conditions are met, and build bullish and bearish Breaker Blocks from recent swing relationships. Each of these zone categories can be managed independently, which gives the user control over both logic and presentation.
The Fair Value Gap engine uses a classic three-candle imbalance relationship. A bullish FVG forms when the older candle’s high is below the current candle’s low, creating a void that suggests upward displacement. A bearish FVG forms when the older candle’s low is above the current candle’s high, creating a downward imbalance. This script does not stop at merely finding such gaps. It can also require the gap to be meaningful relative to ATR, which helps ignore very thin or insignificant imbalances that often clutter lower timeframes. Once a qualifying gap is found, it is projected forward as a live zone so the user can monitor future interaction with it.
The Inverted Fair Value Gap logic extends that idea further. If a bullish FVG later breaks to the downside by close, the script can convert it into a bearish IFVG. If a bearish FVG later breaks to the upside by close, it can become a bullish IFVG. This is important because failed imbalances often retain analytical value after polarity changes. Instead of treating a broken gap as useless, the script can reinterpret it as a new directional zone. This creates a more complete picture of how imbalance evolves as price transitions from one state to another.
The Order Block logic is intentionally more selective than simple “last opposite candle” approaches. The script first tracks confirmed pivot highs and pivot lows using the chosen pivot length. Those pivots are then monitored for liquidity sweeps. A move above a stored pivot high marks buy-side liquidity taken, while a move below a stored pivot low marks sell-side liquidity taken. These events alone do not create an Order Block. Instead, they establish the context needed for the next confirmation step.
After liquidity is taken, the script waits for a close-based Market Structure Shift. This means price must actually close through a relevant structural level in the opposite direction before an Order Block candidate is allowed to form. Once that sequence completes, the script scans backward over a configurable number of bars to find the first qualifying opposite candle and uses that candle’s range as the Order Block. In practical terms, after sell-side liquidity is swept and bullish structure shifts, the script searches for a bearish candle to define a bullish OB. After buy-side liquidity is swept and bearish structure shifts, it searches for a bullish candle to define a bearish OB. This makes the Order Block engine more conditional, more context-aware, and less arbitrary than approaches that mark every local opposite candle before a move.
The Breaker Block logic is also structure-driven rather than purely cosmetic. For bearish breakers, the script looks for a high-low-high relationship in which the more recent high exceeds the previous one and price later closes below the intervening low. For bullish breakers, it looks for a low-high-low relationship in which the more recent low undercuts the previous one and price later closes above the intervening high. When those conditions are met, the corresponding region is marked as a Breaker Block. This approach makes breaker creation dependent on actual structural sequencing rather than on a simple visual approximation. To keep the chart readable, the script can also suppress near-duplicate breakers using ATR-based distance checks and remove breaker zones once they exceed a user-defined maximum age.
A major strength of the script is that all of these zones can optionally be filtered through the active dealing range. If enabled, only FVGs, IFVGs, OBs, and BBs that belong to the current structural window are retained. This is one of the main reasons the indicator is useful as a full framework rather than as a loose collection of concepts. The range is not merely a backdrop. It acts as a relevance filter that helps keep attention on the most structurally important zones around current price.
The script also includes a maintenance layer for zone management. Once zones are created, they can be extended forward for continued monitoring. If price invalidates or mitigates a zone, that zone can either be deleted or faded depending on the user’s preference. This is especially useful for traders who want to preserve historical context without keeping fully active boxes on the chart. Breakers can also expire based on age, and every major category has a cap on how many active regions can remain on screen. These controls are important not only for visual clarity but also for overall chart performance and usability.
From a user interface standpoint, the indicator is organized into functional groups so the settings remain easy to understand. The Dealing Range section controls the rolling range window, midpoint visibility, forward extension, and styling for the box and lines. The FVG / IFVG section manages gap detection, range filtering, extension length, and directional colors. The Order Blocks section controls pivot sensitivity, activation, range filtering, extension, scan depth, and color settings. The Breaker Blocks section manages activation, range filtering, extension, age limits, and directional styling. Finally, the Style / Performance section controls label visibility, label color, mitigation fading, faded opacity, and the maximum number of retained zones per category.
This layout is intentional. The script is meant to remain usable for both visual traders and more process-oriented users who want to adjust sensitivity and chart density. A lower pivot length will make the structure engine more reactive, while a higher pivot length will usually produce cleaner but slower structural responses. A shorter range lookback will make the dealing range more adaptive, while a larger one will emphasize broader price boundaries. FVG filtering, zone retention, and fading options can all be adjusted depending on how minimal or information-dense the chart should be.
A practical workflow is to first identify the active dealing range and its equilibrium. That establishes the structural frame. From there, the user can observe which imbalances and reaction zones are forming inside that range, whether price is operating above or below equilibrium, and whether recent liquidity events are producing valid structure shifts. Bullish or bearish FVGs can then be evaluated in the context of current price location, while Order Blocks and Breaker Blocks can be interpreted as more conditionally derived zones that reflect structural responses rather than raw candle patterns. If price later invalidates an FVG and flips it into an IFVG, that polarity change remains visible and can be studied as part of the evolving delivery process.
Key features:
• Rolling dealing range with optional equilibrium line
• Optional dealing-range filter for FVG, IFVG, OB, and BB zones
• ATR-based Fair Value Gap thickness filter
• Sweep + close-based Market Structure Shift logic for Order Blocks
• Structure-based Breaker Block detection
• Inverted Fair Value Gap polarity flips after invalidation
• Zone extension, cleanup, fading, and age controls
• Per-category retention limits for better chart clarity
• Organized input groups for range, FVG/IFVG, OB, BB, and style/performance settings
How to use:
Use the dealing range to define the current structural window, then use equilibrium as the internal reference point of that range. Monitor which FVGs, OBs, and BBs form inside that context, and pay attention to whether price respects, mitigates, invalidates, or flips those zones. The script is most useful when its zones are read as contextual structural areas rather than as automatic signals.
Notes:
This indicator is a chart analysis tool, not a promise of outcome. It does not guarantee direction, entries, or performance. Past market behavior does not guarantee future results. Like any structure- or imbalance-based model, it should be used together with confirmation, risk management, and broader market context.
This script is published as open-source so users can inspect the logic, study the implementation, and adapt the framework for their own research and education. Indicator
Indicator
Fair Value Gap Reclaim Planner [AGPro Series]Fair Value Gap Reclaim Planner
🧠 Core Idea
Has price returned into a fair value gap and reclaimed the imbalance midpoint with enough quality?
📌 Overview / What it does
Fair Value Gap Reclaim Planner is an imbalance-focused price action tool built around three-candle fair value gap structure.
The script detects bullish and bearish FVG zones, tracks fill progress, maps the midpoint, evaluates reclaim quality, and displays a structured 0-100 readiness score. It also projects an active reclaim corridor, invalidation shelf, target rails, labels, and a clean AG Pro dashboard.
It does not predict future price movement, automate entries, or provide guaranteed signals. It is a visual framework for reading fair value gap reclaim behavior.
🎯 Purpose & Design Philosophy
This script was built for traders who study imbalance zones but want a cleaner way to separate meaningful reclaim behavior from ordinary gap interaction.
Fair value gaps can attract attention, but not every touch matters. The planner focuses on whether price fills, reacts, and reclaims a meaningful reference level inside the imbalance.
The design supports patient analysis: identify the zone, measure the fill, wait for reclaim, then evaluate context.
⚡ Why This Script Is Different
Most FVG tools highlight many imbalance zones and leave the user to interpret the rest manually.
This script does NOT flood the chart with every historical imbalance.
Instead, it focuses on the active FVG context, tracks fill progress, evaluates midpoint or full-edge reclaim, and converts the reaction into a clear score and action state.
⚙️ Methodology
1. Context Detection
The script detects bullish and bearish three-candle fair value gaps using a minimum ATR-based size filter.
2. Reference Mapping
It maps the FVG top, bottom, midpoint, fill area, and invalidation boundary.
3. Reaction Evaluation
When price interacts with the active FVG, the script evaluates fill progress, reclaim distance, wick response, body quality, relative volume, gap quality, and freshness.
4. Visual Output
Qualified reclaim events are shown with labels, projected zones, target rails, right-side level tags, and a compact panel.
🗺️ How to Read the Chart
FVG Zone shows the active imbalance area.
Midline marks the primary reclaim reference when Midline mode is selected.
Fill Progress shows how deeply price has returned into the imbalance.
READY FVG RECLAIM labels mark reclaim events that meet the selected score threshold.
Invalidation Shelf marks the area where the reclaim context weakens or fails.
The AG Pro panel summarizes Gap State, Reclaim Score, Fill Progress, Risk, and Action.
🚦 Signals & States
• BULL FVG → bullish fair value gap detected and locked.
• BEAR FVG → bearish fair value gap detected and locked.
• READY FVG RECLAIM → price reclaimed the selected FVG reference with enough quality.
• FVG TOUCH → price interacted with the active FVG zone.
• INVALIDATED → the active reclaim context lost the opposite FVG edge.
• READY → a qualified reclaim event is active.
• MONITOR → the active FVG is being tested or a reclaim context remains open.
• WAIT → no qualified reclaim event is active.
🔔 Alerts Logic
Bullish FVG Reclaim Ready triggers when price reclaims the selected FVG reference upward with enough score quality.
Bearish FVG Reclaim Ready triggers when price reclaims the selected FVG reference downward with enough score quality.
FVG Touch triggers when price interacts with the active imbalance zone.
FVG Reclaim Invalidated triggers when the active reclaim context loses the opposite FVG edge.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest reclaim contexts appear when fill progress, wick response, close quality, relative volume, gap size, and freshness align.
When price returns into the imbalance, respects the zone, and reclaims the midpoint or edge with clean reaction quality, the score improves.
📊 When to Use
• Markets with visible imbalance behavior
• Breakout pullbacks into fair value gaps
• Trend continuation reviews
• Reclaim attempts after partial FVG fills
• Intraday or swing contexts where FVG zones remain meaningful
⚠️ When NOT to Use
• Very low liquidity markets
• Extremely noisy or illiquid symbols
• Markets with unreliable candles or volume
• Wide-spread conditions where small gaps are misleading
• News spikes where imbalance zones can be invalidated quickly
🎛️ Key Inputs
• Minimum FVG Size ATR → filters out tiny imbalance zones.
• Maximum FVG Age Bars → controls how long an FVG can remain active.
• Reclaim Reference → chooses midpoint reclaim or full-edge reclaim.
• Touch Lookback Bars → controls how recent the FVG interaction must be.
• Invalidation Buffer ATR → controls the risk shelf beyond the FVG edge.
• Minimum Ready Score → sets how strict READY events should be.
• Target Rails → control projected T1 and T2 levels.
• Label Settings → control label density, size, and spacing.
• Panel Settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is designed to show the active imbalance context without filling the chart with excessive historical zones.
The FVG zone, midline, fill meter, invalidation shelf, target rails, and panel are visually separated so the chart remains readable.
The goal is a premium first-glance layout: zone first, reclaim second, action state third.
🧪 Practical Usage Workflow
1. Check the panel for active Gap State.
2. Locate the FVG zone and midpoint.
3. Watch how deeply price fills the imbalance.
4. Evaluate READY FVG RECLAIM labels and score quality.
5. Compare price with the invalidation shelf and target rails.
6. Confirm broader structure before making decisions.
🔍 Interpretation Guidelines
A high reclaim score means the reaction is cleaner according to the script's rules.
A lower score means the reclaim may be weaker, late, noisy, or incomplete.
Fill progress is not a signal by itself. It becomes more meaningful when combined with reclaim quality and broader market context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not guarantee entries, exits, profits, or outcomes.
⚠️ Limitations & Transparency
Fair value gap interpretation can vary across markets, sessions, and timeframes.
Some markets create many small gaps that may not carry meaningful context.
Volatility changes can make an active FVG less relevant over time.
No rule-based script can fully account for news, liquidity shocks, or sudden market structure shifts.
🧠 Market Context Notes
Fair value gaps often represent fast price displacement and temporary imbalance.
The reclaim of a midpoint or edge can help traders study whether the market is accepting or rejecting the imbalance area.
The script works best when combined with structure, liquidity, volatility, and trend context.
🧾 Use Case Examples
When a bullish FVG forms after displacement, price returns into the zone, partially fills it, and then reclaims the midpoint, the script may mark a bullish reclaim context.
When a bearish FVG forms after downside displacement, price retraces into the imbalance and then rejects back below the midpoint, the script may mark a bearish reclaim context.
🧱 System Philosophy
Fair Value Gap Reclaim Planner follows the AG Pro Series approach: turn a popular market concept into a structured decision map with context, score, risk reference, and clean visuals.
It is designed to support judgment, not replace it.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
Outputs should always be interpreted with independent analysis and responsible risk control.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
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
This script is designed to help traders study how fair value gap fills, midpoint reclaims, and imbalance reactions behave across different market conditions.
Indicator
Order Flow VWAP Deviation [LuxAlgo]The Order Flow VWAP Deviation indicator provides a comprehensive toolkit for analyzing market structure through volume-weighted price levels, liquidity zones, and order flow imbalances.
It combines classic VWAP standard deviation bands with dynamic stop-run detection and localized volume profiles to identify high-probability reversal and expansion zones.
🔶 USAGE
The tool is designed for intraday and swing traders who focus on liquidity "sweeps" and mean reversion. By plotting significant pivot highs and lows (Stop Zones) alongside VWAP bands, the indicator highlights areas where institutional liquidity is likely resting.
When price pierces these zones on high volume, the script flags a potential stop-run, signaling that a trend exhaustion or reversal may be imminent.
🔹 Stop Zones and Liquidity
The script tracks historical pivot points and extends them as dashed lines. When price crosses these lines with a volume surge (defined by the Stop Zone Volume Multiplier), it indicates that resting orders have been triggered.
These events are marked with circles on the chart to alert the trader to a shift in order flow.
🔹 Anchor Volume Profile
A specialized Volume Profile anchors to a specific time range (e.g., New York Open). This profile appears on the right side of the chart, highlighting the Point of Control (POC) in yellow and high-volume "Stop Nodes" in orange.
Each significant node displays a volume multiplier (e.g., 2.5x) and a buyer/seller bias (B/S) to show which side of the market is dominant at that price level.
🔹 Inversion Fair Value Gaps (IFVGs)
The indicator can optionally track Fair Value Gaps that have been "inverted." An IFVG occurs when a bearish gap is closed above or a bullish gap is closed below.
These act as refreshed support or resistance levels and are visualized as boxes on the chart until they are mitigated by price action.
🔶 DETAILS
The script utilizes a proxy for delta volume, calculating the bias based on the relationship between the close and the high/low of each bar within the profile calculation.
The Stop Zone logic uses a lookback period to ensure only significant structural pivots are considered, preventing chart clutter while focusing on major liquidity pools.
🔶 SETTINGS
VWAP Anchor: Determines the period for VWAP calculation (Session, Week, Month, or Year). Std. Dev Multiplier: Sets the distance for the upper and lower deviation bands. Pivot Lookback: The number of bars used to identify significant highs and lows for stop zones. Max Active Lines: Limits the number of horizontal liquidity levels displayed on the chart. Profile Rows: Adjusts the vertical granularity of the anchored Volume Profile. Anchor Time Range: Specifies the exact time (HHMM) used to start the volume collection for the profile. Stop Zone Volume Multiplier: Defines the threshold relative to average volume required to highlight a "Stop Node" in the profile. Show IFVGs: Toggles the visibility of Inversion Fair Value Gaps. IFVG Volatility Filter: A multiplier used to ensure only gaps formed by significant price moves are tracked. Indicator
Sniper Trader V6.5 Pro SMC, FVGs & Volume Sweep EngineSniper Trader Pro is an all-in-one Smart Money Concepts (SMC) indicator designed to filter out market noise and identify high-probability institutional setups. Built for precision, this algorithm detects liquidity sweeps, Fair Value Gaps (FVGs), and volume-backed rejections, giving you a clear visual map of where the "Smart Money" is trapping retail traders.
Optimized for volatile assets like indices (NASDAQ/NQ, S&P500) on the 5-minute timeframe, this tool acts as a complete trading system.
Core Features
Dynamic Liquidity Boxes (FVGs): Automatically plots Demand (Aqua) and Supply (Red) zones based on momentum. The algorithm features a smart "garbage collector" that instantly deletes boxes once they are fully mitigated by price, keeping your chart perfectly clean.
Institutional Trend Filters: Integrates key dynamic support/resistance levels, including the 14 EMA, 80 HMA, 200 EMA, and the daily VWAP, allowing you to gauge the macro and micro trends at a glance.
Volume-Backed Sweep Signals: The indicator doesn't just look for wicks; it analyzes the relationship between wick size, body size, and relative volume. It plots clear "LONG" and "SHORT" triangles only when a rejection wick touches a key dynamic level (EMA/VWAP) and is backed by above-average volume.
Ultimate Sensitivity Engine: Fully customizable settings. You can adjust the required wick size, maximum opposite wick size, and volume multiplier to adapt the trigger sensitivity to the current market volatility.
How to Trade with Gems Sniper Trader Pro
This indicator is built to trade pullbacks into liquidity zones in the direction of the macro trend.
For a LONG Setup:
Ensure the price is trading above the 200 EMA (Macro Trend).
Wait for the price to pull back and enter an Aqua Demand Box.
Look for a green LONG triangle signal. This confirms a liquidity sweep bouncing off the 14 EMA, 80 HMA, or VWAP with institutional volume.
Place your Stop Loss safely below the sweep wick.
For a SHORT Setup:
Ensure the price is trading below the 200 EMA.
Wait for a fake breakout into a Red Supply Box.
Look for a red SHORT triangle rejecting the zone with volume.
Place your Stop Loss above the rejection wick.
Pro Tip :
Avoid taking signals that float in the middle of nowhere. The highest probability trades occur when the sweep signal perfectly aligns (confluence) with a Liquidity Box and a dynamic level like the VWAP. Indicator
Order Block Detector [SMC ChartSense]# SMC ChartSense — Order Block Detector
**Order block detection with mandatory FVG (Fair Value Gap) confirmation.** Each zone marked must have a 3-bar FVG at the anchor candle — institutional displacement that left a literal gap in price. Most basic OB scripts flag every breakout candle as an order block; this script filters to only the zones that came with displacement footprint, producing a cleaner chart with fewer but more meaningful zones.
## How it works
The script tracks swing pivots at a configurable length and waits for a confirmed break — a candle that closes beyond the prior swing high or low. When a break occurs, it searches back through the recent bars to identify the deepest counter-direction candle (lowest low for a bullish OB, highest high for a bearish OB). This becomes the OB anchor.
The anchor is then validated against the FVG requirement: there must be a 3-bar gap at the anchor index (bar A high below bar C low for bullish, bar A low above bar C high for bearish). No FVG, no OB. This is the central quality filter.
Validated zones extend forward from the anchor and remain active until invalidated — either when price closes through the zone or when the wick touches the far side, depending on user preference.
## Features
- FVG validation gate at the anchor candle (3-bar gap requirement)
- Configurable swing pivot length for structural sensitivity
- User-tunable OB anchor lookback (5–100 bars)
- Wick-based or body-based zone definition
- Configurable mitigation trigger: Close-through or Wick-touch
- Auto-pruning of oldest OBs when active count exceeds limit
- Optional faded display of mitigated zones for historical study
- Built on Pine v6 with clean, maintainable architecture
## Inputs
**Structure Detection**
- *Swing Pivot Length* — Higher values produce fewer, more significant pivots. Lower values produce more frequent pivots of smaller structural significance. Default: 5.
**Quality Filters**
- *OB Anchor Lookback Bars* — How far back from a confirmed pivot break to search for the OB anchor candle. Default 30 covers most timeframes; reduce for scalping, increase for higher TFs.
- *Anchor OB to Wick (vs Body)* — Wick mode uses the full candle range. Body mode uses open/close only (tighter zones).
- *Mitigation Trigger* — Close mode invalidates when a candle closes through the zone. Wick mode invalidates on first wick touch.
**Visualization**
- Bull/Bear OB colors (customizable)
- Max OBs Per Side (caps active display, oldest auto-pruned)
- Show OB Labels (off by default — boxes alone are usually sufficient)
- Show Midline (50% level inside each OB, dotted)
- Keep Mitigated OBs Visible (faded gray boxes remain for historical reference)
## Built-in alerts
- New Bull OB formed
- New Bear OB formed
- Bull OB touched (price entered zone)
- Bear OB touched (price entered zone)
## Suggested use
Best on liquid intraday markets — major forex pairs, crypto perps, index futures, large-cap equities — at timeframes from 5m to 4h. Default settings are tuned for 15m–1h ranges; adjust Swing Pivot Length down to 3 for scalping or up to 8–10 for higher-TF trend trading.
Use this as a context tool. The zones identify where institutional displacement occurred — actual entries should incorporate your own analysis: HTF bias, structural alignment with current market regime, risk-reward planning, and confirmation from other tools.
## Part of the SMC ChartSense suite
One of several focused SMC tools. Designed to work alongside other SMC ChartSense scripts for a coherent analytical workflow across the SMC vocabulary.
## Disclaimer
This is a technical analysis tool. It does not provide investment advice or trade recommendations. The author is not a SEBI-registered Research Analyst. Use at your own risk; do your own due diligence. Indicator
Indicator
Golden Pocket ReduxeGolden Pocket Reduxe
Golden Pocket Reduxe is a single overlay that combines two of the most reliable kinds of price levels — Fibonacci Golden Pocket retracement zones and Supply/Demand order blocks — and shows you where they line up. It is built to give you a clean read of where price is most likely to react, across as many timeframes as you want to see at once, without the chart turning into spaghetti.
The Golden Pocket is the area inside a swing where pullbacks most often pause or reverse. The Reduxe applies this concept across multiple timeframes and trading styles at once, and pairs it with order-block detection so you can see when a Fib pullback is also landing on a level where institutional buyers or sellers stepped in.
Why this exists
Most Golden Pocket indicators draw one set of zones based on one set of pivot rules. That works great, but you might have issues when you change timeframes, switch from stocks to futures, or want to see a 1-hour zone while you trade a 5-minute chart. This indicator was built to address all of that:
It runs up to five GP setups at once — two on the chart timeframe and three from any higher timeframes you pick — without redrawing the same zone twice.
It detects supply and demand zones the way professional order-block traders do, with filters for break of structure, volume confirmation, and zone shrinkage on retest.
It highlights confluence — places where multiple signals overlap — so you can immediately see the highest-probability levels.
It handles futures session rollovers, non-standard chart types like Heikin Ashi and Renko, and Regular Trading Hours filtering for equities, all without you having to think about it.
Golden Pocket zones
The indicator tracks pivot highs and lows on whatever timeframe you point it at and draws the Golden Pocket retracement band between each pair. Each zone stays anchored to the specific pivot pair that created it, so an unrelated swing on the opposite side of the market does not destroy a still-valid zone. Bullish GPs mark pullback support in uptrends. Bearish GPs mark rally resistance in downtrends. Both can be color-coded, labeled, or hidden independently.
When a new pivot forms in the same direction, the previous zone can either be archived as a Closed GP (kept on the chart in a different color so you can see historical levels that may still matter) or removed entirely. Closed GPs can be cleaned up automatically by max count, by price invalidation, or both.
There is also an optional Active GP invalidation rule: if price closes beyond a zone for a set number of consecutive bars, the zone is closed automatically. While the counter is running, the box border can recolor as a warning so you can see at a glance which zones are about to be invalidated.
Supply and Demand zones
When an impulsive candle breaks recent structure, the indicator draws an order block at the last opposing candle before the impulse — the precise level where the previous side lost control. This is the classic order-block construction, not a wide consolidation range.
The S/D engine includes:
Break of Structure filter — only confirm a zone when the impulse actually breaks the recent high or low, not just any large candle inside a range. Toggleable.
Shrink on retest — each time price comes back to a zone, it shrinks from the tested edge to visually represent orders being absorbed. After the configured number of retests, the zone is removed.
Cross-invalidation — opposing zones that overlap heavily are automatically removed, since they cannot both be valid.
Volume protection — high-volume zones (marked with a ★) resist invalidation from weaker opposing impulses.
Overlap deduplication — prevents the same level from being marked twice.
Persistent GPs (Day / Week / Month)
Three calendar-period boxes drawn from the live High and Low of the current calendar day, week, or month. These are different from pivot-based GPs — they update continuously as the period's range expands and reset cleanly at the start of each new period. Each period has its own enable toggle, color, fib levels, position, label, midpoint extension, and Regular Trading Hours mode. They are anchored to calendar boundaries in the symbol's timezone, which means they stay stable across futures session rollovers and behave the same way on every symbol.
Useful for higher-timeframe context that does not move as fast as pivot-based GPs, intraday targets off the day range, and weekly or monthly bias zones for swing trading.
Profiles
Instead of forcing you to manually retune pivot distance, ATR multiplier, and zone height every time you change charts, the indicator ships with preset bundles tuned for different trading styles:
Auto — picks the best profile based on the chart's timeframe.
Scalping — tighter pivots and faster zones, suited to charts under 5 minutes.
Intraday — balanced settings for session trading on 15–30 minute charts.
Swing — wider, slower zones for institutional levels on 1-hour charts and above.
Custom — full manual control over every parameter.
GP profiles and S/D profiles are independent — you can run a Scalping GP and a Swing S/D on the same chart, or any other combination.
Multi-timeframe layout
Chart GP Profile 1 / 2 — two profile slots that draw on the chart timeframe with no higher-timeframe lag. Each has its own color.
Overlay Timeframe 1 / 2 / 3 — three slots that each have their own timeframe, GP profile checkboxes (Scalping, Intraday, Swing, Custom), and S/D profile selector. If an overlay slot's timeframe matches the chart and a chart profile already covers that profile, the overlay slot suppresses just that profile to avoid drawing the same zone twice.
So a typical setup might be: chart Profile 1 set to Auto for the chart timeframe, Overlay TF1 set to 1H for medium-term context, and Overlay TF2 set to 4H for higher-timeframe bias — all running simultaneously, each with its own color, all drawn on the same chart.
Confluence detection
Automatically highlights places where two GPs overlap, or where a GP overlaps an S/D zone. Confluence boxes are drawn in their own color and labeled "GP + GP" or "GP + S/D" so you can immediately tell which kind of agreement you're looking at. These are typically the highest-probability levels on the chart.
Volume enhancement
Zones that form on above-average volume are visually boosted (more opaque) and marked with a ★ in the label. The intuition is simple: a level made by real participation is more likely to hold than one made by thin price action. The volume MA length and the opacity boost are both configurable.
MA filter
Optional trend filter that restricts which GP boxes are drawn based on a configurable Fast/Slow MA pair. You can filter by trend direction (only draw GPs that align with the trend), by price position (only draw GPs whose pivots are on the right side of the MA), or turn the filter off entirely. Each MA has its own type (SMA or EMA), length, color, and line style (Solid / Dashed / Dotted).
Use Real OHLC
Forces the indicator to use actual market prices on non-standard chart types like Heikin Ashi, Renko, and Kagi. Without this, pivots and zones would be drawn from modified candle values that don't reflect real traded levels, and your entries, exits, and alerts would all sit at the wrong prices. Keep this on unless you specifically want zones based on the chart's modified candles.
Alerts
Two alert paths, usable independently or together:
Specific conditions — pick from the dropdown: Bull GP Touch, Bear GP Touch, Day GP Touch, Week GP Touch, Month GP Touch, Demand Zone Touch, Supply Zone Touch, Confluence Zone Touch, or Any Zone Touch.
All-Events Alert Stream — set the alert condition to "Any alert() function call" and every zone touch fires a detailed message with direction, timeframe, profile, and symbol — for example "Bull 15 Intraday Golden Pocket Hit on BTCUSD". Persistent GP touches fire as "Day GP Hit", "Week GP Hit", or "Month GP Hit".
Visual customization
Bull, Bear, Day, Week, Month, and Confluence labels each toggle independently. Volume ★ markers have their own toggle. GP box borders can be Solid, Dashed, or Dotted. Active GPs have separate cosmetic offset inputs that control visual width and position without affecting any underlying calculations. An optional GP anchor dot marks the pivot bar where each zone originated. Midpoint lines can optionally be extended back to the originating pivot to make the zone's history easier to read.
How to start
Open Settings → Inputs.
Pick a Chart GP Profile (Auto is a fine default) and a color.
Optionally enable one or more Overlay Timeframe slots if you want higher-timeframe GPs on the same chart.
Leave the S/D engine on its defaults to start; tune later if you want fewer or wider zones.
Enable Persistent GPs (Day / Week / Month) for fixed bias zones that don't depend on pivots.
To set up alerts, right-click the chart → Add alert → set the Condition to this indicator → pick a specific event or choose "Any alert() function call" with the All-Events stream toggle on.
Credit
Based on the original Golden Pocket script by TradingWolf , heavily extended from there.
Most features were inspired by Terry ( Terryztrade ), who taught myself and many others the true value of fibs.
Alert plumbing uses the RecursiveAlerts library by HeWhoMustNotBeNamed .
License
Open-source under the Mozilla Public License 2.0. Indicator
SMT-Fill [Oracle]WHAT THIS INDICATOR DOES
SMT-Fill is a correlation-based fair value gap analysis tool that detects when correlated assets disagree on how they interact with their own imbalances. It identifies FVGs that form simultaneously across multiple correlated assets, then tracks whether each asset trades back into its respective gap — and flags when one asset fills its gap while the other does not.
A standard FVG tells you there is an imbalance. An SMT-Fill tells you there is an imbalance where correlated assets are disagreeing on whether it gets respected — a crack in correlation at the imbalance level, which increases the probability of a reaction.
This is an analysis and narrative tool. It does not generate buy or sell signals.
THE CONCEPTS — WHAT EACH ONE IS AND HOW IT IS CALCULATED
Fair Value Gaps (FVGs)
A fair value gap is a 3-bar price imbalance where the candle bodies moved so aggressively that a gap was left behind. The indicator detects these using standard FVG logic:
Bullish FVG — Bar 1's low is above bar 3's high. The gap between these two levels represents an area where price moved up without being fully traded, leaving an imbalance that price may return to fill.
Bearish FVG — Bar 3's low is above bar 1's high. The gap represents a downward imbalance.
The indicator does not just detect FVGs on your chart — it simultaneously checks whether the same FVG pattern exists on each of the other assets in your triad at the exact same time, using request.security calls. For each asset where a concurrent FVG exists, it stores that asset's own gap boundaries (high, low, and midpoint) independently.
This means the indicator is tracking up to four versions of the same gap: your chart asset's FVG boundaries and each correlated asset's FVG boundaries, all formed on the same 3-bar window but at each asset's own price levels.
SMT-Fill Divergence Detection
This is the core concept. After an FVG forms across multiple assets, the indicator tracks whether price on each asset trades back into its respective gap. An SMT-Fill divergence occurs when one asset trades into its gap while a correlated asset does not trade into its corresponding gap — the assets disagree on whether the imbalance gets filled.
The indicator monitors three levels within each gap:
High — The top boundary of the FVG. Has price touched back into the gap at all?
Midpoint (50%) — The equilibrium of the FVG. Has price traded through the halfway point?
Low — The bottom boundary of the FVG. Has price completely filled the gap?
For each level, the indicator maintains a "traded" flag for every asset. On every bar, it checks whether each asset's price has reached that level in its own FVG. A divergence is detected when your chart asset's traded flag differs from a correlated asset's traded flag at any level — meaning one has interacted with the gap at that level while the other has not.
This produces three variants of SMT-Fill, each representing a different degree of divergence:
Variant 1 — Touch divergence. One asset trades back into the gap (touching the high of the FVG), while the correlated asset fails to trade back into its gap at all.
Variant 2 — Midpoint divergence. One asset trades below 50% of its gap, while the correlated asset fails to reach the 50% level of its gap.
Variant 3 — Full fill divergence. One asset completely fills its gap (price reaches the low/high boundary), while the correlated asset fails to completely fill its corresponding gap.
The indicator prioritises the most significant divergence level when drawing the SMT-Fill line. For bullish gaps, it checks the high level first (has any asset touched the gap while another hasn't), then midpoint, then low. For bearish gaps, it checks low first, then midpoint, then high.
Gap Lifecycle and Cleanup
Each tracked gap has a defined lifecycle:
Creation — A 3-bar FVG is detected on your chart, and the same FVG pattern exists on at least one other asset in the triad at the same time.
Active tracking — The indicator monitors whether each asset's price interacts with its own version of the gap at the high, midpoint, and low levels.
Divergence display — When the traded flags disagree between assets at any level, the gap is drawn as a colored box with an optional SMT divergence line at the diverging level.
Closure — When price closes completely through the gap (close below the low for bullish, close above the high for bearish), the gap is automatically deleted from the chart.
Gaps where no divergence exists between assets are hidden by default — the indicator only shows FVGs where a crack in correlation has occurred within the imbalance.
SMT-Fill Divergence Line
When a divergence is detected, an optional horizontal line is drawn at the specific level where the disagreement occurs (high, midpoint, or low of the gap). This line marks the exact price level where one asset has interacted with the gap but the other has not — the precise point of the crack in correlation within the imbalance.
The line extends as long as any asset is still interacting with the gap, plus a configurable extension buffer.
HOW THE CONCEPTS WORK TOGETHER
SMT-Fill is not simply an FVG detector with extra assets overlaid. The concepts form a specific analytical sequence:
Concurrent FVG formation establishes the setup. A fair value gap must form on your chart asset and on at least one correlated asset at the exact same time. This is the prerequisite — it means both assets experienced the same imbalance event simultaneously, establishing a shared reference point.
Independent fill tracking reveals disagreement. After the gap forms, each asset's price moves independently. The indicator tracks whether each asset returns to its own gap boundaries. When one fills while the other holds, it reveals that the market is not treating the imbalance the same way across correlated assets — a crack in correlation specifically within the imbalance itself.
The divergence level identifies the price point. The SMT-Fill line marks exactly where the disagreement is occurring — whether at the gap entry (high), equilibrium (midpoint), or full fill (low). This gives you a specific price level to work with, not just a directional bias.
Gap lifecycle provides context. Gaps that are fully closed are automatically removed. Only gaps with active divergences are displayed. This keeps the chart clean and focused on the information that matters — where correlated assets are currently disagreeing on imbalance interaction.
HOW TO USE IT
For HTF Bias:
SMT-Fills on higher timeframes can frame lower timeframe trade ideas. For example, if you expect a bullish weekly candle and see price manipulate down into a daily FVG forming an SMT-Fill, you can assume that manipulation is likely the manipulation for the week — giving you a directional bias and allowing you to frame LTF entries accordingly.
As an Entry Model:
SMT-Fill can be combined with other Quarterly Theory concepts to build confluence. For example:
SSMT forms, then the first presented gap is an SMT-Fill — higher probability entry
A PSP forms, then the first presented gap is an SMT-Fill — confirmed reversal with imbalance divergence
Any ICT entry model that involves an FVG can use SMT-Fill to increase the setup probability by confirming the gap is backed by a correlation crack
Step by step:
Add the indicator to your chart. It will automatically detect your asset triad and begin scanning for concurrent FVGs.
When an FVG forms on your chart and on at least one correlated asset simultaneously, the indicator begins tracking fill levels on all assets.
Once one asset trades into its gap while another does not, a colored box appears showing the SMT-Fill gap with a label indicating which asset is diverging.
The SMT-Fill divergence line marks the exact level where the disagreement is occurring.
Gaps are automatically removed when fully closed, keeping your chart clean.
WHY THIS IS THIS INDICATOR WORTH USING?
Without this indicator, identifying an SMT-Fill requires a trader to:
Watch three charts simultaneously and mentally note when FVGs form at the same time across all of them
Track the exact high, midpoint, and low of each gap on each asset independently
Monitor in real time whether each asset trades back into its own gap at each of these three levels
Compare the fill status across assets to determine if a divergence exists
Remember which gaps have been fully closed and which are still active
This is practically impossible to do manually in real time across three assets and multiple active gaps. The indicator automates the entire process — concurrent FVG detection, independent multi-level fill tracking across all triad members, divergence flagging, and automatic lifecycle management — into a single overlay.
The SMT-Fill concept itself — tracking whether correlated assets agree or disagree on how they interact with simultaneously-formed imbalances — is an entirely original implementation. No other PulseWire indicator detects concurrent FVGs across multiple assets, independently tracks fill levels at three price points per asset, and flags the divergence when assets disagree. This cannot be replicated by combining existing public FVG indicators because they only track a single asset and have no concept of cross-asset fill comparison.
AUTO TRIAD
The indicator automatically assigns the correct correlated triad based on your chart ticker:
Index Futures: NQ / ES / YM (+ micro variants MNQ / MES / MYM)
FX Indices: NAS100 / SPX500 / US30
Metals (spot): XAUUSD / XAGUSD / Copper
Metals (futures): GC / SI / HG
Forex: EURUSD / GBPUSD / DXY
Currency Futures: 6E / 6B / DXY
Energy: CL / RB / HO
Bonds: ZF / ZB / TN
Crypto (spot): BTCUSD / ETHUSD / XRPUSD via Kraken
For unsupported tickers, manual configuration is available.
SETTINGS OVERVIEW
Asset Selection — Auto triad toggle, manual ticker inputs for three assets
General Settings — Maximum gaps tracked, box extension length
Gap Display — Bullish/bearish toggles, gap colors, border display and width
SMT-F Line — Divergence line toggle, color, style, width
Labels and Text — Asset label toggle, text size, text color, label position
Filtering — Active-only mode (only show gaps while price is interacting)
Watermark — Position, size, custom phrase
INDICATOR SETTINGS/FILTERS
Here is an inside look of how the SMT-Fill looks:
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always use proper risk management and conduct your own analysis.
CREDITS
Developed by Danielliuks (z3nius) and bucko. Conceptual framework based on ICT (Michael Huddleston) and Quarterly Theory as taught by TraderDaye.
Open Sourced For all.
Enjoy. Indicator
Ultimate FVG/NWOG By FreedomByChartsUltimate FVG/NWOG By FreedomByCharts
A clean, no-bloat FVG and NWOG indicator built around how I actually trade: chart timeframe + three independent higher timeframes + the New Week Opening Gap, all in one global colour scheme with sensible defaults and granular per-source control.
Why this one
Most FVG indicators on TV fall into one of two camps. Either they're stripped down to the bare chart-timeframe pattern with a single fill colour and a hardcoded mitigation rule, or they're bloated with theme presets, IPDA modes, half-finished features and ten settings groups you'll never use. This one is built the other way round: deep where it matters (mitigation logic, NWOG accuracy, display control), and stripped of everything that doesn't earn its place on the chart.
What's actually different:
Four mitigation modes, not one. Wick Filled (full), Body Filled (full), Wick 50%, Body 50%. Pick what matches your model — strict body close beyond the far side, or a partial wick into the midpoint, or anything between.
Independent box and line visibility per source. Box on, lines off. Lines on, box off. Top + bottom only, no middle. Mid line dotted, top and bottom solid. Whatever you want — five sources, each independent.
Mitigated FVGs become iFVGs. When an FVG gets mitigated its label flips from e.g. `1H` to `1H iFVG`, marking the zone as an inverted FVG — the same level can now act in the opposite direction. NWOG labels stay as `NWOG` since the inversion concept doesn't apply.
Mitigated zones can drop their lines automatically. Per-source toggle: keep the grey box for context, lose the line clutter. Active zones stay fully drawn.
Three HTFs at once, plus chart TF, plus NWOG. Run 1H, 4H, 1D simultaneously while the chart-TF FVGs print on whatever you're looking at. Each fully configurable. No request.security guesswork — the HTF tracking is explicit and aligned to the chart bars where each HTF period's high and low actually occurred.
NWOG done properly, including holiday weeks. The NWOG anchors to the close of the last 1H bar before the weekend (Friday on a normal week, Thursday on Easter / Good Friday week) and the open of Sunday's first 1H bar. No stale Friday-only state, no wrong-priced boxes anchored at the wrong bar after holiday closes.
Single global colour scheme. One bullish colour, one bearish colour, one mitigated grey. Applied uniformly across every source for a clean, professional look. NWOG can override its own bull/bear colours if you want it to stand out.
No display caps you have to work around. Set the unfilled count and mitigated count per source to whatever you actually want to see. Old zones get pruned automatically as new ones form.
What it draws
Chart FVGs — current timeframe, both bullish and bearish.
HTF1, HTF2, HTF3 — three configurable higher timeframes (defaults: 1H, 4H, 1D), all rendered on the current chart.
NWOG — the body gap between the close of the last 1H trading bar before the weekend and the open of Sunday's first 1H bar.
For each zone you get an optional coloured box (transparency adjustable), an optional top line, mid line, bot line (each with independent show/hide and Solid/Dashed/Dotted style), and an optional label showing the timeframe (auto-formatted as "1H", "4H", "1D", "NWOG", etc).
When a zone is mitigated, the box recolours to grey, the lines either go grey or hide entirely depending on the per-source toggle, and the label flips to show iFVG status (e.g. `1H` becomes `1H iFVG` — NWOGs keep their `NWOG` label). Mitigated zones stay visible for as many slots as you allow, then get pruned.
Mitigation methods explained
For a bullish FVG (zone below price), the chosen method tests whether price has come back down into the zone:
Wick Filled (full) — bar's low has reached the bottom of the zone. Default.
Body Filled (full) — bar's close has reached the bottom of the zone.
Wick 50% — bar's low has reached the midpoint.
Body 50% — bar's close has reached the midpoint.
Bearish zones (above price) test the opposite direction. Mitigation triggers an alert if you've enabled it for that source.
Alerts
Two alert flags per source: entry (price first touches the zone) and mitigation (price meets the mitigation criterion). Alert text identifies the source timeframe, direction (bull or bear) and the price.
Settings, top to bottom
Appearance — bull / bear / mitigated colours, box transparency, mitigated box transparency, line width, right-edge extension (default 0 = right edge sits at the current bar; raise it to extend further right), label text colour.
Mitigation — single global mitigation method dropdown.
Chart — enable, box / line visibility, line styles, unfilled and mitigated counts, mitigated-lines toggle, label settings, alerts.
HTF 1, HTF 2, HTF 3 — same controls as Chart plus a timeframe input.
NWOG — same controls as the others, plus optional NWOG-specific bull/bear colour overrides.
Notes on usage
For NWOG live detection use a 1H or smaller intraday chart. On 4H+ charts the bar boundaries don't land on the 18:00 NY moment cleanly so new NWOGs won't form.
HTF FVGs appear on the chart at the bar where their HTF period closed, anchored back to the chart bars where the relevant HTF candle highs and lows occurred — this gives a clean "stepped" visual at the zone's left edge that shows how it formed.
The right edge of every zone tracks the current bar in real time. Set "Extend right beyond current bar" higher if you prefer a fixed runway.
PulseWire caps total drawn objects at 500 lines / 500 boxes / 500 labels. With three lines per zone enabled across many sources at high display caps, you can hit those limits — drop the mid line first (it's off by default for that reason) and you double your headroom.
Built specifically for the way I trade GC futures on the 1H. Sharing because I haven't seen another FVG indicator that handles all three of these together: holiday-week NWOGs, four mitigation modes, and independent box/line control per source. Feedback welcome. Indicator
Indicator
Ranked FVG Imbalance Zones (Zeiierman)█ Overview
Ranked FVG Imbalance Zones (Zeiierman) is a next-generation Fair Value Gap tool that transforms how imbalances are evaluated by ranking them in real time using structured data and Pine Script’s latest UDT collection sorting capabilities.
Instead of plotting every detected gap equally, the script stores each FVG as a structured object, evaluates its quality using multiple factors, and dynamically ranks all active zones. The result is a cleaner, more actionable view of only the highest-priority imbalances.
This approach reduces noise and shifts focus toward the zones that matter most under current market conditions.
█ How It Works
⚪ Structured FVG Objects (UDT Engine)
Each detected FVG is stored as a user-defined type (UDT), containing:
Price range (top and bottom)
Direction (bullish or bearish)
Size and age
Mitigation state
Volume and trend alignment
Bullish and bearish strength components
Final quality score
This allows every imbalance to behave like a data object rather than a simple drawn box.
⚪ Multi-Factor Quality Scoring
Each FVG is assigned a dynamic quality score based on:
Gap size relative to volatility
Volume expansion vs average
Trend alignment (EMA-based)
Candle strength and displacement
Mitigation progress and age decay
This converts raw imbalances into comparable signals with measurable strength.
⚪ UDT Collection Sorting (New Pine Feature)
All FVG objects are stored inside an array and sorted using:
fvgs.sort(order.descending, sort_field = "qualityScore")
This uses PulseWire’s new ability to sort collections of user-defined types directly by a field. Instead of manually filtering or iterating through values, the script ranks all zones instantly and efficiently using native sorting.
⚪ Ranked Output (Signal Prioritization)
After sorting, only the highest-ranked FVGs are displayed.
Lower-quality zones remain stored internally but are hidden from view. This creates a priority-based map of imbalances, where the chart highlights only the most relevant opportunities.
⚪ Strength Distribution (Internal Pressure View)
Each FVG is split into bullish and bearish strength components.
These are displayed as internal bars within the zone, showing:
Who controlled the move
Whether the imbalance is stable or weak
If opposing pressure exists inside the gap
█ Why This Approach Is Different
⚪ Ranking vs Filtering
Traditional FVG tools rely on fixed rules (size thresholds, simple conditions).
This tool instead ranks all zones relative to each other, adapting dynamically to market conditions.
⚪ Native Sorting Advantage
Using Pine’s new UDT sorting:
Eliminates complex manual ranking logic
Improves performance and scalability
Allows real-time reordering as conditions change
Enables true “top N” selection of signals
This was not efficiently possible before UDT collection sorting.
⚪ Noise Reduction
By showing only the top-ranked zones:
Chart clutter is reduced
Focus shifts to high-quality setups
Decision-making becomes clearer
█ How to Use
⚪ Focus on Top Zones
Only the highest-ranked FVGs are shown. These represent the strongest imbalances based on current conditions.
⚪ Read Strength Internals
Higher directional strength → stronger continuation potential
Mixed strength → weaker or more reactive zone
Opposing strength dominance → higher chance of failure or fill
█ Settings
Show Top Zones: Controls how many of the highest-ranked FVGs are displayed.
Max Stored FVGs: Controls how many zones are tracked internally.
Volume Length: Defines the baseline for volume comparison.
Trend Length: Defines the EMA used for trend alignment scoring.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Fair Value GapsFair Value Gaps (FVG) auto-detects bullish (+FVG) and bearish (-FVG) three-candle imbalances on any chart, any timeframe. Tracks each gap's state through its lifecycle and shows a real-time dashboard with active gap counts, nearest gap distance, and exact zone prices.
WHAT IS A FAIR VALUE GAP
An FVG is a three-candle pattern where the middle candle moves so aggressively that it leaves a gap between the wick of the prior candle and the wick of the following candle. Price often returns to fill these gaps before continuing — making them useful as targets, entry zones, or invalidation levels.
A bullish (+FVG) forms when the low of the current candle is above the high of two candles ago, with a bullish middle candle. A bearish (-FVG) is the inverse.
FEATURES
Auto-detects pip size for JPY pairs, other forex, metals, indices, and crypto — no manual configuration needed
Tracks up to 10 active FVGs per side with configurable minimum size filter to ignore noise
Auto-removes filled FVGs OR keeps them on chart greyed out (your choice)
Optional midline marker (50% mitigation level)
Configurable label limit so only your most recent active gaps are annotated — prevents chart clutter
Dashboard shows active count, distance to nearest gap, and exact zone prices
Cells highlight amber when price is currently inside a gap (mid-mitigation)
Movable dashboard position (six options) so it coexists with other indicators
Built-in alerts for new bullish and bearish FVG formations
HOW TO USE
Use FVGs as targets when price has left an unfilled gap behind — markets often return to fill them. Use them as entry zones when price retraces into a gap in the direction of the higher-timeframe trend. Use them as invalidation when price closes through a gap that should have held as support or resistance.
Particularly useful for SMC and ICT traders watching for liquidity sweeps followed by displacement into a fair value gap, then a retracement entry.
Pairs cleanly with the Key Swing Levels (KSL) indicator from the same author — KSL's dashboard defaults to top-right, FVG's to bottom-left, no overlap.
Open-source. Feedback and forks welcome.
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
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
FVG with Probabilities | GainzAlgoFVG with Probabilities
The FVG Quality Engine v5.1 is a high-performance, institutional-grade toolkit specifically designed for the volatile nature of 0DTE options and lower-timeframe scalp trading.
Unlike standard gap detectors, this engine utilizes a complex scoring model to quantify the probability of a Fair Value Gap (FVG) holding or failing in real-time.
The Theory of the Fair Value Gap (FVG)
At its core, a Fair Value Gap represents a market imbalance. It is a three-candle sequence where price moves so rapidly that it leaves behind a structural void where only one side of the market was efficiently filled.
The Displacement: An FVG is only as strong as the energy behind it.
This indicator requires displacement, meaning the candle must be large relative to volatility (ATR) and possess a solid body with minimal wicks.
The Rebalance Magnet: Price has a natural tendency to return to these imbalances to find fair value.
The engine tracks the Consequent Encroachment (CE), or the 50% midpoint of the gap, which often serves as the most sensitive reaction level.
Inversion (IFVG): When price fails to respect an FVG and instead closes with displacement on the opposite side, the gap flips.
A bullish FVG that is closed through becomes a bearish resistance zone, known as an Inversion FVG.
The Quality Scoring Model: Probabilities and Values
The indicator calculates a probability score for every gap (clamped between 4% and 85%) to help distinguish between low-quality noise and high-confluence setups. This is a weighted logit model based on eight key factors:
P/D Alignment (1.5x Weight): Checks if a long is in discount or a short is in premium relative to recent swing points.
Market Structure (1.3x Weight): Alignment with a recent Break of Structure (BOS).
Size/ATR Ratio (1.2x Weight): Gaps that are too small or excessively large relative to volatility are downgraded.
Trend & HTF (1.0x Weight): Alignment with the 20/50 EMA stack and the 200 HTF EMA.
Volatility Regime (0.9x Weight): Higher scores during expansion, reduced scores during compression.
Volume (0.8x Weight): Uses Relative Volume (RVOL) to confirm institutional participation.
Killzones (0.7x Weight): Gaps formed during London or New York sessions receive a boost.
Comprehensive Menu Inputs
FVG Detection & Displacement
Min FVG Size (ATR x): Controls sensitivity. Default of 0.3 ATR ensures meaningful gaps only.
Require Displacement: Middle candle must meet a minimum body-to-range ratio (default 0.6).
IFVG Rules (The Flip Logic)
Track IFVGs: Enables conversion of failed gaps into inversion zones.
Min Close Dist: Requires price to close at least 0.3 ATR beyond the gap.
Req Aligned BOS: Strict filter requiring a structural break for IFVG validation.
Signal Engine
Signal Mode
Choose between Trend Only, Reversal Only, or Both.
Require Confirmation: Waits for opposing displacement after FVG/OB/Sweep interaction.
Trigger on CE Tap: Signals when price taps the 50% level of a high-quality FVG.
Time-of-Day Filter
Skip First/Last N Minutes: Avoids open volatility and end-of-day noise.
Skip Lunch: Filters out low-volume periods between 11:30 and 13:30 NY time.
How to Use the Indicator
Step 1: Identify the Bias: Use the dashboard to determine if the setup is trend or reversal. Look for EMA alignment: 20 EMA above 50 EMA and price above 200 EMA.
Step 2: Filter by Quality: Focus only on gaps labeled H (High) or M (Medium). High-quality gaps (>65%) indicate strong confluence.
Step 3: Entry Confluence: The best entries occur at A+ tier setups. These happen when price retests a high-scoring FVG or OB within a killzone and is followed by confirmation.
Step 4: Managing Inversions: If a bullish gap fails, do not ignore it. Watch for it to flip into a purple IFVG, acting as resistance for potential reversal or continuation.
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