MTF Kinetic Oscillator | Rainbow MatrixGENERAL OVERVIEW
The MTF Kinetic Oscillator is a multi-timeframe order-flow probability oscillator that fuses 5 timeframes into a single composite score, blended with three independent order-flow sensors (CVD, Volume Climax, Squeeze) and plotted against a self-adaptive Fibonacci channel that recalibrates to current volatility conditions. Instead of treating an oscillator as a fixed 0-100 envelope where the same threshold means the same thing across all market regimes, the indicator continuously classifies the current score against an adaptive channel — and colors the chart accordingly.
The main goal of this indicator is to give traders a clean, automatic read on where the order-flow consensus sits across 5 timeframes simultaneously, and how stretched that consensus is relative to its own recent statistical range — without having to manually monitor multiple oscillators on multiple timeframes. Every value the oscillator displays is the result of a weighted aggregation of 5 timeframe scores, modulated by order-flow sensors, and contextualized against an adaptive channel.
It plots a single score line that travels through five color zones (yellow, orange, red, purple for upper extremes; green, teal, blue, aqua for lower extremes), each corresponding to a probabilistic regime. Combined with the Info Panel HUD, Vacuum Trail convergence lines, and Black Swan dynamic glow, the indicator gives a complete read on order-flow direction, statistical position, and proximity to exhaustion zones — all from a single oscillator pane.
This indicator was developed for traders who already understand oscillator-based indicators (RSI, MFI, Stochastic, CCI) and want a multi-timeframe aggregation that calibrates its thresholds to current volatility instead of using fixed 0-100 boundaries.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most oscillators on TradingView — RSI, MFI, CCI, Stochastic, and their derivatives — share two common architectural choices: they operate on a single timeframe, and they classify against fixed thresholds (typically 70/30 or 80/20). This treats every market regime as statistically equivalent.
The problem: market regimes are not equivalent. A score of 75 during a tight-range, low-volatility period is structurally different from a score of 75 during a volatile expansion phase. Fixed thresholds applied to a non-stationary distribution produce systematic mismatches — overbought readings that resolve into further upside, oversold readings that continue lower, signals that appear at the wrong moments precisely when volatility shifts regimes. This mismatch becomes most visible during transitions between volatility regimes: trend climaxes, capitulation lows, squeeze breakouts.
This indicator addresses both issues at once. First, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through a sigmoid normalization. Second, the 5 per-timeframe scores are aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score — giving the most weight to the middle macro horizons rather than the shortest or longest timeframes. Third, the global score is plotted not against fixed 0-100 thresholds, but against a self-adaptive channel whose boundaries are re-computed every bar from the highest and lowest scores in the lookback window, smoothed by EMA, and proportioned by Fibonacci ratios (1.50/1.85, 1.85/1.85, 2.75/1.85, 3.85/1.85).
The three order-flow sensors — CVD Z-Score, Volume Climax, and Squeeze — operate as modulators of the base score: the CVD bonus amplifies the score when directional order pressure dominates (clamped at ±12 points), Volume Climax drag dampens the score when abnormal volume is detected (statistical exhaustion signal), and the Squeeze damper compresses score amplitude to 25% during compressed-volatility regimes (suppressing false signals during low-conviction lateral phases).
Why traders use it: each color zone on the chart represents a different probabilistic regime, calibrated to current volatility. When the score sits between the median and the inner band (yellow/green), the order-flow consensus is in normal operating range — equilibrium. When the score crosses into the second band (orange/teal), the move has crossed into directional territory. The third band (red/blue) marks the threshold beyond which most of the impulse has already happened — exhaustion. The fourth band (purple/aqua) marks the tail of the distribution — a Black Swan event in Taleb's sense — where score positions rarely persist under normal volatility conditions.
The three order-flow sensors and the adaptive Fibonacci channel are not independent layers stacked in the same pane. They map three different aspects of the same question: where the multi-timeframe order-flow consensus currently sits (the score), how that consensus is being modulated by live order-flow pressure (the sensors), and how stretched that modulated value is relative to its own recent statistical range (the channel). The integration of all three components into a single oscillator is the reason they exist in one script rather than as three separate indicators: the cross-component blending is what surfaces multi-sensor confluence that separate-script approaches cannot produce.
MTF KINETIC OSCILLATOR FEATURES
The indicator includes 6 main features:
Multi-Timeframe Score Engine
CVD Order-Flow Sensor
Volume Climax and Squeeze Sensors
Adaptive Fibonacci Channel
Vacuum Trail and Black Swan Dynamic Glow
Info Panel HUD and Alerts
Multilingual interface and full customization across all visual layers.
MULTI-TIMEFRAME SCORE ENGINE
🔹 What It Does
The core of the indicator. For each of the 5 configured radar timeframes, the engine performs three operations:
◇ Calculates a Log-Normal Z-Score regression of price (hlc3 transformed via natural logarithm, fitted with linear regression, residuals normalized by their own standard deviation).
◇ Computes a per-timeframe RSI at a Fibonacci-aligned length (8, 13, 21, 34, 55 — one per timeframe).
◇ Blends the Z-Score (via sigmoid normalization) and the RSI into a single per-timeframe score, bounded 0-100.
The 5 per-timeframe scores are then aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score representing the multi-horizon order-flow consensus.
🔹 Method
The regression runs in log space, addressing the asymmetric nature of price distribution that linear estimators (such as the Simple Moving Average) fail to account for. The directional reference (high vs low) is selected per bar based on candle direction — green candles use the high (upward pressure reference), red candles use the low (downward pressure reference). This produces a Z-Score that reflects the directional intent of each bar rather than the midpoint average.
The sigmoid normalization compresses Z-Scores into a bounded 0-100 range without losing the asymmetric information of extreme values. The RSI component anchors the score to a familiar momentum reference, blending two independent signal families into one bounded value per timeframe.
🔹 Hierarchical Weighting
The five timeframes are weighted by structural significance using Fibonacci proportions:
◇ TF1 (Trigger, default 5): weight 15% — fastest reactivity, lowest weight.
◇ TF2 (Intraday, default 13): weight 20% — session-scale resolution.
◇ TF3 (Macro 1, default 55): weight 25% — backbone of the score.
◇ TF4 (Macro 2, default 233): weight 25% — institutional reference horizon.
◇ TF5 (Base, default 987): weight 15% — macro trend anchor.
The middle horizons (TF3 and TF4) carry the highest weight because they typically represent the most structurally significant reference for institutional decision-making — short enough to react to current conditions, long enough to filter intraday noise.
CVD ORDER-FLOW SENSOR
🔹 What It Does
The CVD (Cumulative Volume Delta) sensor estimates the difference between buyer and seller volume per bar — measuring market-order aggression. The signed delta is normalized to a Z-Score against a 50-period rolling reference, and the resulting bonus is clamped at ±12 points before being added to the global score.
🔹 Method
For each bar, total volume is split between buyer share (proportional to `close - low / range`) and seller share (proportional to `high - close / range`). The signed delta is the difference. A 50-period mean and standard deviation define the reference; the current delta is expressed as a Z-Score against that reference, then multiplied by 4 and clamped to ±12 to control its contribution to the final score.
🔹 Why It Matters
The Z-Score component answers "where is the multi-timeframe consensus", and the RSI component answers "what is the momentum". The CVD sensor answers a separate question: "who is currently aggressive in the order book". When the multi-timeframe consensus is bullish and CVD aggression confirms it, the bonus amplifies the score. When the consensus is bullish but CVD shows seller aggression, the bonus subtracts from the score — surfacing a divergence between consensus and order-flow.
VOLUME CLIMAX AND SQUEEZE SENSORS
🔹 Volume Climax
A standalone sensor that detects abnormal volume conditions (volume Z-Score above 3.0). When triggered, a climax drag is applied to the score, signaling potential exhaustion. The HUD reports this state explicitly in the Status row.
🔹 Squeeze
A volatility-compression detector based on the percentage-rank of the current range against a 20-period lookback. When the range compresses to its 15th percentile or lower, the squeeze flag activates and the score amplitude is dampened to 25% of its normal range — preventing false directional signals during compressed-volatility regimes.
🔹 Why They Matter
These sensors operate on a different axis from the price-direction sensors. Volume Climax surfaces statistical exhaustion before it becomes visible in price; Squeeze suppresses noise during periods when the oscillator would otherwise produce false reads. Together they make the oscillator behave correctly during regime transitions, where standard oscillators are typically least reliable.
ADAPTIVE FIBONACCI CHANNEL
🔹 What It Does
The global score is plotted against a self-adaptive channel rather than against fixed 0-100 thresholds. The channel boundaries are re-computed every bar from the highest and lowest scores in a 50-bar lookback window, smoothed by 10-period EMA, and then proportioned through Fibonacci ratios into four zones:
◇ Z-Breathing (inner, yellow/green) — ratio 1.50 / 1.85 (≈ 0.811)
◇ Z-Alert (upper limit, orange/teal) — ratio 1.85 / 1.85 = 1.000 (the visible anchor)
◇ Z-Exhaustion (outer, red/blue) — ratio 2.75 / 1.85 (≈ 1.486)
◇ Black Swan (extreme edge, purple/aqua) — ratio 3.85 / 1.85 (≈ 2.081)
🔹 Why It Adapts
Fixed thresholds (70/30 or 80/20) treat every volatility regime as equivalent. The adaptive channel calibrates the rainbow visual to the actual statistical envelope of the current regime — overbought during a low-volatility consolidation does not mean the same as overbought during a volatility expansion, and the channel reflects that.
🔹 Visual Rendering
The space between adjacent channel boundaries is filled with a semi-transparent color matching the zone palette (toggleable via "Show Thermal Zone Fills"). This makes the current zone immediately visible without having to read the score number — the visual position alone tells you the regime.
VACUUM TRAIL AND BLACK SWAN DYNAMIC GLOW
🔹 Vacuum Trail
Ghost convergence lines projecting from exhaustion extremes back toward the channel median. The lines anchor at a level 15% inside the inner Breathing zone (not at the channel boundary itself), which produces visual convergence inward rather than along the edge — useful for anticipating the typical mean-reversion path after extreme touches.
🔹 Black Swan Dynamic Glow
The outermost ±3.85σ-equivalent boundaries are rendered as a main line plus a wide outer glow whose intensity scales with the score's distance from the boundary. The glow becomes bright when the score is near the Black Swan zone and fades when far — drawing visual attention only when the statistical tail is approached.
🔹 Why They Matter
Both elements give the oscillator a sense of direction beyond the score's current position: the Vacuum Trail visualizes the expected return path during exhaustion; the Black Swan Glow makes statistical tail events visible at a glance, before the score itself crosses the boundary.
INFO PANEL HUD AND ALERTS
🔹 What the HUD Shows
A compact corner panel reports six live values:
◇ SCORE — the current global score (0-100) with color matching the active channel zone
◇ PROB. — the absolute probability (distance from neutral 50 expressed as percentage)
◇ DIRECTION — BUY / SELL / NEUTRAL based on score position relative to the median
◇ CHANNEL — current channel regime classification (Uptrend / Downtrend / Sideways / Compression / Expansion)
◇ RHYTHM — score velocity classification (Fast / Slow)
◇ STATUS — Black Swan / Squeeze / Climax / Neutral, prioritized by severity
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The display language is controlled by the System Language input.
🔹 Alerts
Three alert types are available:
◇ Exhaustion Alert — fires when the score crosses above 85% (buying exhaustion) or below 15% (selling exhaustion).
◇ Squeeze Alert — fires when the squeeze flag activates (volatility compression detected).
◇ Black Swan Alert — fires when the score enters the ±3.85σ-equivalent extreme zone; uses an edge-trigger arm/disarm mechanism (fires once on entry, locks while inside, re-arms only on exit).
All alerts are gated by `barstate.isconfirmed` and use `alert.freq_once_per_bar` to prevent duplicate firings on the same candle. Five `alertcondition` blocks are also exposed for users who prefer the TradingView alert UI.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, group names and input labels remain in English regardless of the selected language.
For reference, the English text of all multilingual UI strings used in the HUD and alerts:
◇ BUY / SELL / NEUTRAL — direction states
◇ SQUEEZE — Low Volatility. Await the Explosion.
◇ CLIMAX — Abnormal Volume Detected. Possible Exhaustion.
◇ UPTREND / DOWNTREND / SIDEWAYS / COMPRESSION / EXPANSION — channel states
◇ FAST / SLOW — rhythm states
◇ SCORE: / DIRECTION: / CHANNEL: / RHYTHM:
◇ BLACK SWAN — EXTREME HIGH / BLACK SWAN — EXTREME LOW
◇ Buying Exhaustion Alert: " Buying Exhaustion: Score above 85%. High reversal probability."
◇ Selling Exhaustion Alert: " Selling Exhaustion: Score below 15%. High reversal probability."
◇ Squeeze Alert: " Squeeze Active: Volatility maximally compressed. Explosion imminent."
◇ Black Swan Alert: " Score reached the dynamic channel's extreme zone. Maximum statistical tension. Reversal probable."
HOW TO USE
This indicator is not a signal generator. It is a state classifier: it tells you where the multi-timeframe order-flow consensus currently sits, how stretched that consensus is relative to its own recent statistical range, and which order-flow regime (climax, squeeze, normal) is currently active.
🔹 Reading the Oscillator
◇ The score line color matches the active channel zone — visual position alone identifies the regime.
◇ The HUD reports the score numerically and classifies the channel/rhythm/status in plain language.
◇ Vacuum Trail lines indicate the expected mean-reversion path during exhaustion conditions.
◇ Black Swan glow intensity scales with proximity to the statistical extreme.
🔹 Tactical Reading
◇ Score between dyn_mid and inner band: equilibrium zone. Order-flow consensus is in normal range.
◇ Score crossing into the Alert band: directional move asserting itself across multiple timeframes.
◇ Score at the Exhaustion band: most of the impulse has already happened — continuation in trend direction becomes structurally less favorable.
◇ Score touching the Black Swan band: statistical tail event. Mean-reversion context is elevated, but regime change is also possible — the boundary itself is adaptive, so a sustained breach indicates the volatility envelope expanding.
◇ Squeeze state active: oscillator is operating in low-conviction mode. Wait for squeeze release before trusting directional reads.
◇ Climax state active: abnormal volume has been detected. Exhaustion context is present regardless of score position.
🔹 Multi-Timeframe Reading
◇ The default radar configuration (5/13/55/233/987) follows Fibonacci minute periods and is calibrated for intraday and swing trading.
◇ For scalping, configure shorter timeframes (e.g., 1/3/8/21/55).
◇ For position trading, configure longer timeframes (e.g., 60/240/D/W/M).
◇ The middle-weighted timeframes (TF3 and TF4) carry the most influence — choose them carefully.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 MTF Synchronization (TF1 to TF5)
Configure each of the five timeframes to aggregate. Defaults: 5, 13, 55, 233, 987 (Fibonacci minutes). Weights are fixed at 15/20/25/25/15 percent respectively.
🔹 Show Thermal Zone Fills
Toggle for the semi-transparent rainbow fills between adjacent channel boundaries.
🔹 Show Vacuum Trail (Ghost Lines)
Toggle for the convergence ghost lines from exhaustion extremes back toward the channel median.
🔹 Show Dynamic Median Line
Toggle for the channel midline (dyn_mid) — the adaptive zero-reference of the oscillator.
🔹 Show Black Swan Lines (Dynamic Glow)
Toggle for the outermost ±3.85σ-equivalent boundaries with proximity glow.
🔹 Show Info Panel
Toggle for the corner HUD reporting score, direction, channel, rhythm, and status.
🔹 Panel Position
Position of the HUD on the chart. Four corners available: Bottom Right (default), Bottom Left, Top Right, Top Left.
🔹 Font Size
HUD font size. Options: Tiny (default), Small, Normal, Large, Huge.
🔹 Exhaustion Alert
Toggle for the alert that fires when the score crosses ±85/15 thresholds.
🔹 Squeeze Alert
Toggle for the alert that fires when the squeeze flag activates.
🔹 Black Swan Alert
Toggle for the alert that fires when the score enters the adaptive extreme zone.
IMPORTANT NOTES
The MTF Kinetic Oscillator works on any timeframe. The default MTF configuration (5/13/55/233/987 in minutes) is calibrated for intraday and swing trading on liquid instruments. The Fibonacci-aligned RSI lengths (8/13/21/34/55) and per-timeframe data lengths (288/96/72/60/40) are tuned to provide roughly equivalent statistical resolution across all five horizons.
The indicator works best on instruments with reliable volume data: crypto perpetual contracts, large-cap equities, futures, major forex pairs. On low-volume instruments, the CVD component becomes less reliable, though the score engine and channel continue to function correctly using the Z-Score and RSI components alone.
Alerts fire once per confirmed bar. The Black Swan alert uses an edge-trigger arm/disarm mechanism that prevents repeated firings while the score remains inside the extreme zone. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Value Area calibration factor (vp_k = 2.51) used internally by the score engine for the Volume Profile distance component is tuned to approximate the conventional 70% Value Area definition. The Fibonacci sigma multipliers (1.50, 1.85, 2.75, 3.85) used by the adaptive channel are intentionally non-standard — they are Fibonacci-inspired proportions, not arbitrary choices, and they map to four behavioral regimes derived from observation rather than to integer statistical thresholds.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MTF Kinetic Oscillator is unique in four ways. First, it operates across 5 timeframes simultaneously, aggregating per-timeframe scores via Fibonacci-proportioned weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) rather than operating on a single timeframe like RSI, MFI, CCI, or Stochastic. Second, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through sigmoid normalization — producing a bounded composite that combines two independent signal families per horizon. Third, the global score is plotted not against fixed 0-100 thresholds but against a self-adaptive Fibonacci channel whose boundaries are recomputed every bar from the highest and lowest scores in the lookback window — calibrating the rainbow visual to current volatility regime rather than to static numerical levels. Fourth, three independent order-flow sensors (CVD Z-Score, Volume Climax detection, and Squeeze volatility compression) modulate the score continuously, with the Squeeze damper compressing score amplitude to 25% during low-conviction lateral phases — suppressing false directional signals at exactly the moments standard oscillators are typically least reliable. The combination of Fibonacci-weighted multi-timeframe aggregation, log-space Z-Score plus RSI per timeframe, adaptive Fibonacci channel, and three order-flow modulators produces an oscillator that behaves differently from single-timeframe and fixed-threshold oscillators, particularly during volatility regime transitions where standard oscillators are least reliable. 指标

指标

Smart Money Liquidity Detector [PickMyTrade]Smart Money Liquidity Detector
This indicator measures market microstructure — the structural signals that institutional activity leaves behind in price and volume data. It combines four academically grounded models into a single Microstructure Stress Score (MSS) ranging from 0 to 100.
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MODELS USED
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► Roll (1984)
Synthetic bid-ask spread estimated from the serial covariance of price changes. High Roll spread indicates wider market-maker quotes — historically associated with periods of elevated volatility.
► Corwin-Schultz (2012)
High-low range spread estimator. Uses the relationship between single-period and two-period high-low ranges to back out the effective spread without requiring tick data.
► Amihud (2002)
Illiquidity ratio measuring price move per unit of volume. High Amihud values mean large price impact per dollar traded — a sign of thin order books.
► Kyle Lambda (1985)
Price impact of signed order flow. Derived from the regression of price changes on volume direction. Estimates how aggressively informed participants are moving the market.
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MICROSTRUCTURE STRESS SCORE (MSS)
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Each model is z-scored over a rolling window, normalised to , then averaged and scaled to 0–100.
MSS = (Roll + Corwin-Schultz + Amihud + Kyle Lambda) / 4 × 100
- MSS > 70 → High stress. Spreads wide, illiquidity elevated, price impact high. Consistent with institutional order flow.
- MSS 30–70 → Normal range. No structural signal.
- MSS < 30 → Low stress. Tight spreads, liquid conditions, quiet tape.
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ANOMALY DETECTION
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Any individual model z-score crossing ±2σ triggers an anomaly flag. Anomaly bars are highlighted in orange on the chart. Roll and Corwin-Schultz anomalies are marked with coloured circles directly on the MSS line.
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INPUTS
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- Spread window (default 20) — lookback for Roll and Corwin-Schultz estimation
- Z-score window (default 60) — rolling window for z-scoring all models
- Impact window (default 20) — lookback for Amihud and Kyle Lambda
- MSS normalise window (default 100) — window for normalisation before scoring
- Toggle each model's z-score plot individually
- Highlight anomaly bars on/off
- Info table on/off
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INFO TABLE
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Top-right table displays live values and z-scores for all four models, the current MSS reading, and anomaly status on the last closed bar.
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NOTES
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- Works on any liquid instrument and any timeframe. Most effective on futures, forex, and equity indices where volume data is reliable.
- This indicator does not generate buy or sell signals. It is a market structure diagnostic tool.
- Powered by PickMyTradeLib — PickMyTrade's open quantitative library.
This script is published for educational and informational purposes only. It does not constitute financial advice. Use at your own risk. Past microstructure behaviour does not guarantee future price outcomes.
指标

Order Flow Imbalance Recovery Planner [AGPro Series]Order Flow Imbalance Recovery Planner
🧠 Core Idea
Can a high-volume displacement pocket recover with enough absorption and follow-through to become actionable chart context?
📌 Overview / What it does
Order Flow Imbalance Recovery Planner maps high-volume displacement candles, converts them into practical imbalance recovery pockets, and evaluates whether price can recover that pocket with measurable response.
The script produces imbalance pockets, recovery rails, continuation corridors, invalidation shelves, target reference rails, event labels, and a compact AG Pro dashboard with a 0-100 recovery score.
This script does not read live order book data, footprint data, bid/ask tape, or true exchange-level order flow. It uses chart-available volume, relative volume, candle displacement, wick response, and recovery behavior as a practical visual proxy.
🎯 Purpose & Design Philosophy
The script was built for traders who want a structured way to study volume imbalance recovery instead of reacting to every large candle.
Many displacement candles look important at first, but the useful question is whether price can return to the pocket, absorb pressure, and recover the key rail.
The design supports a context-first workflow: identify the imbalance, observe the test, evaluate the recovery quality, and then read the current state.
⚡ Why This Script Is Different
Most tools mark volume spikes or wide candles as isolated events.
This script does NOT treat every high-volume candle as a signal.
Instead, it builds a recovery pocket, scores the reaction around that pocket, separates test conditions from READY conditions, and keeps invalidation visible.
⚙️ Methodology
1. Context Detection
The script searches for directional displacement candles with elevated relative volume, meaningful candle range, and sufficient body commitment.
2. Reference Mapping
When a valid imbalance is found, the script maps a recovery pocket and a recovery rail around the displacement body.
3. Reaction Evaluation
Price interaction with the pocket is evaluated through retest behavior, close location, wick response, relative volume, freshness, and failure distance.
4. Visual Output
The script displays the active pocket, recovery rail, target rails, invalidation shelf, event labels, bar state color, and dashboard state.
🗺️ How to Read the Chart
Zones represent the active imbalance recovery pocket.
The recovery rail marks the key level price needs to reclaim or lose before the context improves.
Labels highlight new imbalance pockets, pocket tests, ready recovery events, invalidations, and expirations.
Colors:
• Teal = bullish recovery context
• Pink = bearish recovery context or failed context
• Gold = neutral or wait state
• Indigo = monitor or reference state
The panel summarizes imbalance state, recovery score, flow response, risk, and action.
🚦 Signals & States
• Bull Imbalance → a bullish high-volume displacement pocket has been mapped
• Bear Imbalance → a bearish high-volume displacement pocket has been mapped
• Pocket Test → price is interacting with the active imbalance pocket
• Ready Recovery → the recovery score has reached the required threshold
• Invalidated → price has moved beyond the active failure edge
• Expired → the imbalance pocket is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a new imbalance pocket is locked, when price tests the active pocket, when recovery reaches READY status, or when the context is invalidated.
Alerts are attention markers only. They are not trade instructions and do not guarantee future price behavior.
🧩 Confluence Logic
The context becomes stronger when high relative volume, large displacement, clean pocket retest, wick absorption, and recovery close align around the same pocket.
📊 When to Use
• After high-volume displacement candles
• During pullback and recovery phases
• Around breakout continuation attempts
• When studying absorption after aggressive movement
• On liquid symbols with reliable volume data
⚠️ When NOT to Use
• Very low-liquidity markets
• Symbols with unreliable volume data
• Extremely noisy sideways sessions
• News-driven spikes with unstable spreads
• Markets where chart volume does not represent meaningful participation
🎛️ Key Inputs
• Minimum Displacement Range → controls how large a candle must be relative to ATR
• Minimum Body Ratio → filters weak candles with too much wick noise
• Minimum Relative Volume → controls how much volume confirmation is required
• Minimum Ready Score → controls how strict the READY state is
• Projection Bars → controls how far active pockets and rails extend
• Visual Settings → control labels, zones, right-side tags, panel, font size, and bar colors
🖥️ Interface & Visual Design
The dashboard is designed as a quick decision-support panel, not a separate oscillator.
The chart uses a clear hierarchy: pocket first, recovery rail second, labels third, and targets only after recovery context becomes relevant.
The goal is to keep the chart premium, readable, and useful at first glance.
🧪 Practical Usage Workflow
1. Read the panel state
2. Locate the active imbalance pocket
3. Check whether price is testing or recovering the pocket
4. Review the recovery score and risk
5. Compare the output with broader market structure
🔍 Interpretation Guidelines
A READY state means the script has detected enough recovery behavior around the imbalance pocket to mark the context as worth attention.
It does not mean price must continue.
Use the output as structured context together with trend, liquidity, volatility, and higher-timeframe conditions.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a true order book, footprint, or bid/ask delta tool.
It is not an automated trading system.
It does not provide guaranteed signals.
It is not financial advice.
⚠️ Limitations & Transparency
The script uses chart-available data only.
Volume quality differs between markets, brokers, exchanges, and asset classes.
Timeframe changes may alter the appearance and timing of imbalance pockets.
Extreme volatility may produce rapid invalidation or repeated displacement events.
🧠 Market Context Notes
Order-flow style interpretation should always consider liquidity, volatility, structure, and session context.
A strong recovery pocket in a clean trend may carry more practical meaning than the same pocket inside a noisy range.
🧾 Use Case Examples
When price creates a high-volume bullish displacement candle and later retests the pocket, the script evaluates whether the retest shows enough absorption and recovery strength to become a READY context.
When price loses the recovery edge, the script marks invalidation rather than keeping the setup visually alive.
🧱 System Philosophy
AGPro Series tools are designed as decision-support engines.
The goal is not to simplify markets into blind signals, but to organize complex price behavior into readable structure, state, and risk context.
🔐 Non-Promise Statement
No script can provide certainty.
No signal guarantees continuation, reversal, or profit.
Outputs should be interpreted as analytical context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how volume displacement, imbalance pockets, absorption, and recovery behavior interact across different markets and timeframes.
指标

指标

Luxy BOSS MODE - Support & ResistanceBOSS MODE S/R is a comprehensive Support & Resistance system that detects, scores, and learns from every zone reaction — then automatically generates trade plans with entry, stop, target, and position size.
Unlike traditional S/R indicators that simply draw lines, BOSS MODE combines 6 detection engines , an adaptive scoring algorithm , a real-time momentum classifier powered by the Luxy Energy Index, and a Trade Plan Generator that calculates exact risk parameters based on your account.
── WHAT MAKES IT DIFFERENT ──
1. Adaptive Weight Scoring
Every zone is scored 0-100 based on 7 factors: volume at touch, higher-timeframe origin, confluence with other zones, freshness, touch count, regime alignment, and historical performance. After 20+ observed zone outcomes (first bounce or first break per zone), the system adjusts its scoring weights based on which factors correlated with bounces vs breaks on that specific chart and asset.
2. LEI-Powered Momentum Classifier
Uses the Luxy Energy Index (Extension + Velocity + Volume exhaustion model) to classify each approaching zone as likely BOUNCE or BREAK . LEI ≥ 70 = exhausted move arriving at zone = bounce expected. LEI ≤ 30 = energized move = break risk.
3. Trade Plan Generator
For qualifying setups (Grade A/B zone, regime-aligned, R:R above your minimum), the indicator auto-calculates:
Entry — just beyond zone boundary
Stop Loss — opposite side of zone + ATR buffer
Target — nearest zone in trade direction
Position Size — based on your account size and risk %
R:R ratio — only shows when above your minimum
4. Per-Zone Intelligence
Every zone tracks its own history: how many times it bounced vs broke, average bounce distance in ATR units, and hold rate. Labels show this inline: ⬆ SUPPORT 📐 82 5/7 +0.4ᴬ = score 82, held 5 of 7 tests, avg distance from zone mid at touch: 0.4 ATR.
── 6 DETECTION ENGINES ──
📐 Swing Pivots — Classical swing highs/lows on current, Daily, and Weekly timeframes
🧱 Order Blocks — Last candle before a strong impulsive move, confirmed by volume
📊 Volume POC — Highest-volume price cluster over lookback period
💨 Fair Value Gaps — 3-candle imbalances where price left unfilled ranges
💧 Liquidity Pools — Equal high/low clusters where stops accumulate
⚓ Anchored VWAP — Auto-anchors on gap+volume events (earnings, catalysts)
All 6 sources feed into the same unified zone object, allowing true confluence scoring across methodologies.
── REGIME-AWARE SCORING ──
The market regime (STRONG_BULL / WEAK_BULL / RANGE / WEAK_BEAR / STRONG_BEAR / SQUEEZE) drives the scoring bias. In a bullish regime, support zones receive a significant score bonus while resistance zones score lower — reflecting the statistical reality that zones aligned with the trend hold more reliably.
Regime is calculated from ADX + Bollinger Band Width + EMA slope, giving 5 states plus a Squeeze override when volatility compresses to the bottom 10% of the last 100 bars.
── VISUAL SYSTEM ──
Zones are rendered with a 4-layer heat-map system:
Atmospheric halo — fades beyond zone boundaries, scales with score
Main fill — neon color: cyan family for support, red/orange for resistance, intensity proportional to score
Hot core strip — brighter inner band at zone midpoint
Entry line — solid bright stripe at the price-contact edge (top for support, bottom for resistance)
Grade-A pulse ring — glowing outline when a high-conviction zone is within 1.5 ATR of price
Score bar — vertical progress bar to the right of each zone, height = score 0-100
Simple View : A separate layer draws just two clear boxes — nearest SUPPORT (green) and nearest RESISTANCE (red) — with text centered inside. Designed for traders who want instant visual clarity without analyzing all zones.
── TRADE PLAN GENERATOR ──
Configure in the 💰 Trade Plan settings group:
Account Size ($) — your total trading capital
Risk per Trade (%) — standard is 1.0% per trade
Min R:R to Show — only displays setups where the calculated reward exceeds this multiple of risk
When a qualifying setup is found, three dashed lines appear on the chart (blue = entry, red = stop, green = target) with a summary label showing direction, prices, share count, and R:R ratio. The Dashboard shows it in the 💰 Active Setup row. An alert fires with the full trade plan.
Important: The Trade Plan Generator identifies setups based on zone proximity and regime alignment. All trade decisions remain entirely the responsibility of the user. Past zone reactions do not guarantee future performance. Always apply your own analysis and risk management.
── DASHBOARD (14 rows) ──
The information panel shows in real-time:
Market Regime with color coding
Asset Class / Session (PRE/RTH/AH for stocks)
Active zones breakdown (0A/1B/3C format)
Nearest Resistance price, grade, ATR distance
Nearest Support price, grade, ATR distance
ATR% Rank (volatility context)
Active Warning (8 types, color-coded by severity)
Anchored VWAP value and anchor reason
Squeeze detector
Zone Hit Rate (historical bounce %)
Active Detection Sources
Scenario suggestion
Adaptive Weights status
Active Trade Plan (Entry / Stop / Target / Shares / R:R)
Every cell has a detailed tooltip explaining what the value means and how to use it.
── MULTI-ASSET SUPPORT ──
The asset engine auto-detects chart type and adjusts accordingly:
Stocks — ATR-based zones, session-aware (PRE/RTH/AH)
Stocks under $1 — percent-based zone widths (ATR is unreliable for extreme low-price securities)
Crypto — 24/7, percent bands, no session breaks
Forex — pip-based zone widths
Indices — volume-agnostic fallback
Futures — rollover-aware
── SETTINGS OVERVIEW ──
🎯 Trading Mode — Scalp / Intraday / Swing (affects zone widths and sensitivity)
🧭 Regime Classifier — ADX, BB, and EMA periods
🎯 Zone Detection — Toggle each of the 6 engines independently
📐 Swing Pivots — Left/right lookback bars and zone width
🧱 Order Blocks — Lookback period, minimum move %, volume threshold
📊 Volume POC — Lookback bars and histogram bins
💨 Fair Value Gaps — Minimum gap size %
💧 Liquidity Pools — Lookback and touch tolerance %
⚓ Anchored VWAP — Auto-anchor thresholds and manual catalyst date
⚖️ Scoring — Individual weight controls for all 7 scoring factors
🌍 Asset-Class Adaptation — Override or force Sub-$5 mode
🚨 Warnings — Toggle each of 8 warning types with ATR distance control
🎨 Visual Settings — Top-N zones, adaptive hide, transparency, Simple View toggle
📊 Dashboard — Position, size, show/hide
💰 Trade Plan — Account size, risk %, minimum R:R
🔔 Alerts — Standard or structured JSON for webhook automation
── ALERTS ──
8 alert types:
Any Warning (catch-all)
Sweep Imminent
Regime Shift near Grade-A zone
Trap Suspected (low-volume false breakout)
Zone Approach
Squeeze Detected
Trade Plan — LONG Setup
Trade Plan — SHORT Setup
Enable Structured JSON Alerts to receive webhook-ready payloads with full zone data, regime, warning type, and trade plan details.
── EXTERNAL LIBRARY ──
This script imports Luxy Energy Index (LEI) by OrenLuxy for the momentum classifier. LEI measures move exhaustion using Extension from VWAP, Velocity (5-bar rate of change), and Volume as a modifier.
── IMPORTANT NOTES ──
This indicator is for educational and analytical purposes only . It does not constitute financial advice.
Past zone performance (hit rate, average bounce) does not guarantee future results.
The Trade Plan Generator calculates position sizes mathematically based on user inputs — always verify sizing with your broker before placing orders.
Adaptive weights require 20+ observed bounce/break events to activate. On new charts, base weights are used.
The LEI library requires separate import — the indicator will prompt if not accessible.
── CREDITS ──
Luxy Energy Index (LEI) — OrenLuxy. Exhaustion methodology drawing on academic research by Campbell-Grossman-Wang (1993) on volume-return relationships, ATR normalization by J. Welles Wilder Jr., and standard VWAP methodology.
S/R concepts inspired by VSA (Volume Spread Analysis), SMC (Smart Money Concepts), and classical pivot point theory.
Past performance does not predict future results. This tool is for informational purposes only and does not constitute investment advice. Trading involves substantial risk of loss.
指标

ICT Smart Money Footprint [AGPro Series]ICT Smart Money Footprint
🔷 OVERVIEW
ICT Smart Money Footprint is a multi-timeframe price action engine that maps institutional liquidity behavior directly onto your chart. It combines higher-timeframe reaction zones (BSL/SSL) derived from swing pivots with candle-by-candle lower-timeframe footprint states — Liquidity Grab, Displacement, and Reclaim — into one cohesive visualization. A live panel tracks session bias, daily event counts, and zone lifecycle, giving price action traders a complete context window for ICT-style analysis across every timeframe.
🧭 UNIQUE EDGE
Most Smart Money Concept indicators plot every swing as a zone, producing cluttered charts that obscure the very structure they aim to reveal. This tool takes a different route. It separates the question "where is liquidity?" (answered at HTF with wide, contextual zones) from "what is price doing right now?" (answered at LTF with footprint labels). The two layers communicate through a single panel and a shared color palette, so the trader always sees both the macro landscape and the tactical footprint without layering multiple scripts. Priority filtering ensures only the highest-conviction event is printed per bar, and confluence windowing prevents label clustering.
⚙️ METHODOLOGY
The script runs two parallel engines.
The HTF Zone Engine pulls pivot highs and lows from a higher timeframe using request.security with lookahead disabled. Each confirmed pivot anchors a reaction zone sized by HTF ATR × 1.5, ensuring natural visibility on any chart view. Buy-Side Liquidity (BSL) zones form above price at pivot highs; Sell-Side Liquidity (SSL) zones form below price at pivot lows. Zones extend right via line.new with extend.right and a linefill between the two edges. When price tags a zone, the zone is marked mitigated: its lines switch to dashed style, width drops, color fades, and right extension freezes at the touch point.
The LTF Footprint Engine evaluates each confirmed candle for three events. Liquidity Grab triggers when price sweeps the prior LTF swing with a buffer and closes back inside range in the opposite direction. Displacement triggers when candle range exceeds ATR × multiplier and the candle breaks the prior bar's extreme. Reclaim triggers when price recovers a recently lost swing level within a 20-bar window. A priority filter (DISP > LG > REC) prints only the strongest event per bar and direction. A session bias score accumulates these events and resets daily, tinting the chart background and updating the panel in real time.
📡 SIGNALS & ALERTS
Six alert conditions are built in:
• Liquidity Grab (bull or bear)
• Displacement (bull or bear)
• HTF Mitigation (any zone tagged)
• Reclaim (bull or bear)
• Bias Turned Bullish
• Bias Turned Bearish
All alerts include ticker and interval placeholders for multi-chart monitoring.
🎛️ KEY INPUTS
HTF Source — Auto scales the higher timeframe to your chart (15m→4H, 1H→D, 4H→W, 1D→M), or pick a manual HTF.
HTF Pivot Length — controls strength threshold of liquidity zones.
HTF Zone Height (ATR x) — default 1.5; tune for wider or tighter zones.
LTF Pivot Length — swing sensitivity for LG and REC detection.
Displacement ATR Multiplier — default 2.0; raise for only the most explosive candles.
Sweep Buffer — extra cushion above or below swing levels for LG qualification.
Confluence Window — suppresses back-to-back same-direction labels.
Session Bias Band — subtle background tint reflecting daily event accumulation.
Panel Location, Theme, Font Size — full control over on-chart presentation.
🧩 HOW TO USE
Start with your normal trading timeframe. The HTF Source set to Auto will anchor the zones to a relevant higher timeframe. Watch how price interacts with the BSL and SSL zones: unmitigated HTF zones act as liquidity targets and reaction areas, while mitigated (dashed) zones mark where liquidity has already been absorbed.
Use the LTF footprint labels to read the tactical story inside those zones. A Liquidity Grab near an SSL zone hints at institutional accumulation. A Displacement candle after an LG often precedes a structural shift. A Reclaim of a recently lost level signals inducement and potential continuation. The panel's Session Bias gives you a running directional read; when it flips, an alert can fire.
Traders typically combine this tool with their own execution framework: HTF zones for bias and target selection, LTF footprints for timing and confirmation. The indicator provides the map; risk management, entry rules, and position sizing remain the trader's responsibility.
⚠️ LIMITATIONS & TRANSPARENCY
This indicator is an analytical mapping tool, not a trading strategy. It identifies structural patterns and plots them for visual analysis.
HTF zones rely on request.security with lookahead disabled, which means new zones appear only after the HTF pivot is fully confirmed — this introduces a natural lag consistent with non-repainting practice but means some reactions may occur before the zone is drawn.
LTF footprint labels are confirmed on bar close. Intrabar signals during live bars may flicker until the bar closes.
Different market conditions produce different zone densities. Ranging markets generate more mitigated zones; trending markets leave more unmitigated zones above or below price. Use the Max Active Zones input to cap chart clutter.
Past structural patterns do not guarantee future outcomes. Liquidity sweeps can mark reversals or simply precede continuation moves. Always validate signals with your own analysis and broader market context.
📌 RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading involves substantial risk of loss. Past performance does not guarantee future results. Users are solely responsible for their trading decisions, risk management, and position sizing. The author assumes no liability for any outcome arising from the use of this indicator. 指标

Liquidity Grab Detector [AGPro Series]🧲 LIQUIDITY GRAB DETECTOR
Detects single-bar multi-level liquidity raids — the precise moment price sweeps a cluster of 2 or more distinct liquidity pools within a single candle and immediately reverses. Built for ICT, Smart Money, and institutional order-flow analysis, this engine identifies the liquidity raids that matter most: simultaneous multi-level stop hunts that typically precede the sharpest reversals.
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🔹 OVERVIEW
Most liquidity tools either track single sweeps or lifecycle-based breach-and-reclaim patterns. This detector focuses on a different, rarer, and higher-conviction event: the single-bar multi-level raid. When one candle sweeps a cluster of two or more untouched liquidity levels (swing highs/lows, session H/L, previous day H/L, previous week H/L) in a single motion, the odds of a meaningful reversal increase significantly. The engine validates each grab with four independent filters, deduplicates overlapping levels, merges adjacent reversal zones for a clean chart, tiers signals by quality, and projects forward target zones.
One-click preset modes (Aggressive / Balanced / Conservative / Custom) make the detector instantly suitable for any style — from high-frequency scalping to premium-only confluence trading — without manual tuning.
This is not a strategy and makes no directional prediction. It is a detection and visualization engine for a specific institutional order-flow footprint.
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🔹 UNIQUE EDGE — HOW THIS DIFFERS
The single-bar multi-level criterion is the defining separator from conventional liquidity tools:
▪ Traditional liquidity sweep detectors flag any single-level sweep. High signal rate, low conviction per signal.
▪ Breach-and-reclaim engines (equal-highs / equal-lows style) require a full lifecycle across multiple bars. Different mechanic, different timing.
▪ This detector requires a cluster of 2+ distinct liquidity levels to be swept in a single candle, within a user-defined ATR proximity. ATR-normalized thresholds adapt across all timeframes and symbols.
▪ ATR-based level deduplication merges coincident sources (e.g. Swing + PDH stacked at the same price) into a single logical level, preventing inflated sweep counts.
▪ Zone overlap-awareness: adjacent same-direction reversal zones are merged into a single extended zone rather than piling multiple boxes on top of each other. Premium, chart-clean visualization.
▪ Strikethrough length clamp keeps historical consumed-level lines from crossing the entire chart, even on long-running indicators.
▪ Preset modes encapsulate calibrated filter stacks, making the detector genuinely plug-and-play.
The combined filter stack (cluster + volume + wick + reversal + cooldown + dedup + zone-merging) produces fewer but significantly higher-quality signals with a clean visual footprint.
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🔹 METHODOLOGY
Preset modes calibrate the detection engine with one selection:
▪ Aggressive — minimum 2 levels, 0.7 ATR cluster, 1.1× volume, 0.15 ATR wick, 2 bar cooldown.
▪ Balanced — minimum 2 levels, 0.45 ATR cluster, 1.5× volume, 0.3 ATR wick, 5 bar cooldown. Default.
▪ Conservative — minimum 3 levels, 0.35 ATR cluster, 2.0× volume, 0.45 ATR wick, 10 bar cooldown. Premium-only.
▪ Custom — honors manually configured input values.
Level registry with deduplication. The script maintains a live registry of untouched liquidity levels built from four configurable sources. Incoming levels within a configurable ATR tolerance of an existing level are merged. Each level is time-stamped, capped at a configurable maximum count, and pruned once it ages beyond the lookback window or is consumed by a grab.
Cluster detection. On every bar, the engine scans active levels on both sides and classifies a bar as a multi-level sweep candidate when it penetrates the minimum level count whose vertical span fits within the ATR proximity band.
Confirmation layers:
1. Volume spike — grab bar volume must exceed the rolling SMA by the preset multiplier.
2. Wick ratio — rejection wick on the grab side must exceed the preset ATR fraction.
3. Immediate reversal — within a configurable window, price must close back beyond the swept cluster.
4. Cooldown — after a confirmed grab, new detections are suppressed.
Zone overlap-awareness. When a new grab's reversal zone falls within a configurable ATR distance of a recent same-direction zone, the existing zone is extended rather than drawing a new overlapping box. Aggregate targets stay clean.
Quality tier classification. Confirmed grabs are automatically tiered by level count, with 4-level grabs and 5+ level grabs receiving progressively stronger visual emphasis.
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🔹 SIGNALS & VISUALS
Confirmed bullish grab — triangle marker below the bar, "LIQ GRAB · N levels swept" label with tier stars for high-quality grabs, and a forward-projected reversal zone above the cluster with a target micro-label.
Confirmed bearish grab — mirror image with bear coloring.
Stagger-aware label placement. When multiple confirmed grabs occur close together on the chart, their labels are automatically offset vertically to prevent visual overlap.
Clean default visual profile. Swept-level strikethrough lines are disabled by default for a premium chart-clean look; enable them for detailed post-grab review. When enabled, a max-age clamp prevents extremely long lines.
Statistics panel (8 rows) — active level count, total grabs, bars since last grab, last grab source composition (dynamic, e.g. "PDL+Swing"), bullish vs bearish breakdown, reversal success rate, and average levels swept per grab.
Alerts — separate alert conditions for bullish and bearish grab confirmations, triggered on bar close.
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🔹 KEY INPUTS
Detection Engine
▪ Preset Mode — Aggressive / Balanced / Conservative / Custom.
▪ Minimum Levels Swept, Cluster Proximity, Cooldown — honored in Custom mode.
▪ Level Deduplication (ATR) — merge tolerance for coincident levels.
▪ Level Lookback, Max Active Levels — registry housekeeping.
Liquidity Level Sources — swing highs/lows, session H/L, PDH/PDL, PWH/PWL.
Confirmation Filters — volume multiplier and averaging length, reversal window, minimum wick ratio, ATR length.
Visuals
▪ Toggle labels, strikethroughs, zones, statistics panel.
▪ Label and panel font size (default Normal).
▪ Panel position (8 options) and theme (Dark / Light).
▪ Zone projection length, zone height, zone transparency.
▪ Zone merge distance (ATR-based overlap suppression).
▪ Max strikethrough length (bars).
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🔹 HOW TO USE
1. Start with Balanced preset on any timeframe. The ATR-based cluster logic adapts automatically, but 15m–4H timeframes on liquid instruments produce the cleanest signal set.
2. Switch to Conservative for premium-only signals at key institutional levels, or Aggressive when scalping intraday liquidity dynamics.
3. Watch for grab labels near well-defined liquidity clusters — session opens, PDH/PDL interactions, and at range edges. Tiered grabs (4+ levels raided in one bar) deserve special attention.
4. Use the reversal projection zone as a reference target area, not a mechanical take-profit. Combine with your existing structure, order blocks, or mean-reversion levels.
5. Check the "Last Sources" panel row to see which specific liquidity pools were raided most recently.
6. For detailed post-grab analysis, enable "Show Swept Level Strikethroughs" in the Visuals group. For a clean chart, leave disabled.
7. For fine-grained control, select Custom mode and adjust each filter manually.
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🔹 LIMITATIONS & TRANSPARENCY
▪ No repaint on confirmed signals — grabs are finalized only after the reversal window closes with all filters passing. Swing pivots used as level sources are inherently delayed by the pivot length (standard pivot behavior).
▪ The reversal success metric uses a fixed 1 ATR / 10 bar definition and is provided as context only. It is not a performance claim or win rate.
▪ In strongly trending markets, multi-level sweeps can occur without reversal, producing failed grabs. The filter stack reduces but does not eliminate this.
▪ On very low-liquidity symbols or extremely short timeframes, volume data can be noisy. Consider disabling the volume filter in those conditions.
▪ Session, PDH/PDL, and PWH/PWL levels are derived from the chart symbol's native session definition.
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🔹 RISK DISCLOSURE
This indicator is an analytical and visualization tool. It does not generate buy or sell recommendations, does not guarantee any outcome, and is not a trading strategy. All trading decisions are the sole responsibility of the user. Past pattern behavior does not guarantee future results. Always combine indicator output with your own analysis, risk management, and position sizing framework. 指标

Institutional Candle Detector [AGPro Series]🕯️ Institutional Candle Detector
Every trader has stared at a massive candle and asked the same question: "Was that the start of a move, the end of one, or just noise?" Most indicators stop at detection — they paint the candle, drop a label, and walk away. This one keeps watching.
Institutional Candle Detector uses a dual-track engine. The body-driven track flags high-conviction candles where ATR-normalized body size and relative volume both expand together, then classifies each event by body/wick geometry. The independent absorption track captures a different signature entirely — low-body candles on extreme volume, the classic aggression-absorbed footprint that body-only detectors miss. Every detected event is then re-evaluated over the following bars to produce a measurable outcome scorecard.
🔹 OVERVIEW
The script scans each bar for two separate, mutually-exclusive institutional signatures:
• Body-driven events. Body must exceed a multiple of ATR AND volume must exceed a multiple of its rolling average. Classified by geometry into Continuation, Reversal or Exhaustion.
• Absorption events. Volume extremely elevated BUT body contained — the market paid for a big move and did not get one. Price was absorbed.
Every detected candle is then given a reaction zone projected forward, and its outcome is automatically tagged after the configured look-forward window — Follow-Through (FT), Reverse (RV) or Consolidation (CN). The panel accumulates aggregate statistics across the loaded chart so the trader can see which candle type actually works on their instrument and timeframe.
🔸 UNIQUE EDGE
What separates this tool from generic "big candle" or "volume spike" indicators:
• Dual-track detection. A single filter cannot capture both explosive moves and absorption. This script runs two engines in parallel with independent thresholds.
• Four-class geometric taxonomy, each backed by a distinct detection path. Continuation and Reversal fire from the body-driven track with different geometry. Exhaustion catches the mid-profile edge cases. Absorption runs entirely off its own volume-first track.
• Automatic after-behavior tracking. Each event is re-examined after N bars and tagged with an outcome code. This is the part most scripts omit — and it's where edge lives.
• Aggregate statistics panel. Follow-through rate, reverse rate, consolidation rate, and per-class counts are computed continuously. The panel tells you whether institutional candles on this asset actually extend, reverse, or fade.
• Forward-projected zones, colored by class. Body-driven bull/bear events use state colors. Absorption uses an indigo accent so the rarer signature is instantly recognizable. Reversal zones use the contrarian color to emphasize the expected directional flip.
🔹 METHODOLOGY
Body-Driven Track (produces CONT, REV, EXH)
– Body is measured as absolute (close − open) and required to exceed Body × ATR multiple.
– Volume is required to exceed a configurable multiple of its SMA average.
– An optional wick filter rejects candles where total wick exceeds the body beyond a given ratio, removing wide-range noise that looks institutional but is not.
– Continuation: body% ≥ configured threshold (clean directional close).
– Reversal: opposing wick% ≥ configured threshold (sharp rejection after initial push).
– Exhaustion: passes the dual-gate but falls into neither clean category — mid profile, often late in a move.
Absorption Track (produces ABS)
– Volume must exceed an independently configurable multiple (higher than body-driven default).
– Body must be small — below a max Body × ATR and below a max Body / Range.
– When absorption fires, it takes precedence over body-driven classification.
After-Behavior Layer
– After lookFwd bars, the script compares the extreme price move in each direction against the original body size.
– If same-direction extension ≥ ftPct × body → Follow-Through (FT).
– If opposite-direction retrace ≥ revPct × body → Reverse (RV).
– Otherwise → Consolidation (CN).
Aggregate counters accumulate across the loaded chart, producing a running scorecard visible in the panel.
🔸 SIGNALS, STATES & MARKERS
On-chart signals
• Institutional body recolored by class — bull/bear direction for CONT and EXH; contrarian color for REV; accent color for ABS.
• Directional triangle marker above/below the bar.
• Classification label: INST-Bull 3.2x CONT or INST-Bear 5.4xV ABS format, ASCII only. Labels offset from the candle to stay readable on dense charts.
• Reaction zone box projected forward from the candle's high-low range, color-coded by class.
• Outcome marker (FT / RV / CN) plotted lookFwd bars after the event.
Alerts available
• Institutional Continuation
• Institutional Reversal
• Institutional Absorption
• Institutional Exhaustion
All four alerts fire on confirmed bars only.
🔹 KEY INPUTS
Detection Core (body-driven track)
– ATR Length (default 14)
– Volume Average Length (default 20)
– Min Body × ATR (default 2.0)
– Min Volume Multiple (default 2.5)
– Wick filter toggle and max Wick/Body ratio (default 2.5)
Absorption Track
– Enable Absorption Detection
– Absorption Min Volume Multiple (default 4.0)
– Absorption Max Body × ATR (default 1.5)
– Absorption Max Body / Range (default 0.40)
Classification
– Continuation body% threshold (default 0.60)
– Reversal opposing-wick% threshold (default 0.40)
After-Behavior
– Look-forward bars (default 5)
– Follow-through threshold as fraction of body (default 0.50)
– Reverse threshold as fraction of body (default 0.60)
Visuals
– Show/hide zones, zone projection length, opacity, max active zones
– Label size (default Small; increase if labels feel too compact)
– Institutional border width
– Outcome marker toggle
Panel
– 8-position panel placement
– Dark / Light theme
– Font size (default Normal)
– Recent events mini-list toggle
🔸 HOW TO USE
1. Start with defaults on a liquid asset. 4H is a strong baseline; 1H for active traders; Daily for swing context. On Daily, consider lowering Min Body × ATR to 1.5 if events are too rare.
2. Watch the panel accumulate events over two to four weeks on your instrument. The follow-through rate tells you whether institutional candles on this chart tend to extend or fade.
3. Trade-context usage:
– Continuation with a high historical follow-through rate on this asset → trend trades in candle direction after pullback into the zone.
– Reversal with a high historical reverse rate → fade setups at key levels.
– Absorption → aggressive flow was met by an equal or greater defender; often precedes a reversal or compression phase.
– Exhaustion → proceed with caution; frequently a late-move signature where the trend is losing clean structure.
4. Reaction zones act as provisional supply/demand. A retest of a zone with another institutional event near it is a confluence worth noting.
5. Tune thresholds per asset. High-liquidity instruments may need Body × ATR of 2.5+ to keep events selective; low-liquidity pairs can go down to 1.5. Absorption volume multiple can also be adjusted upward on already-volatile instruments.
🔹 LIMITATIONS & TRANSPARENCY
• This is an analytical indicator, not a strategy. No entry, exit, or stop logic is defined and no performance claims are made.
• Aggregate statistics are computed over the loaded chart window and will shift as more bars load or as timeframes change.
• Volume quality depends on the data feed; exchange-reported volume differs across sources for the same asset.
• Follow-through evaluation uses a fixed look-forward window; real trade management will differ.
• All results are historical and descriptive. Past behavior of any candle class does not guarantee future behavior.
🔸 RISK DISCLOSURE
Trading carries substantial risk. This tool is provided for analytical and educational purposes. Do your own research. Use position sizing and risk management appropriate to your account. Nothing in this script constitutes financial advice. 指标

Volume Shelf Reaction Map [AGPro Series]Volume Shelf Reaction Map
🔷 OVERVIEW
Volume Shelf Reaction Map is a structural price-action tool that identifies horizontal zones where volume has historically stacked — "volume shelves" — and classifies, in real time, how price reacts each time it returns to them. Instead of showing a static S/R line, it answers a sharper question: when price revisits this level, does it hold, get reclaimed, get rejected, or lose the level entirely? Fresh shelves (never revisited) are visually separated from reused ones, so the chart communicates not just where the levels are, but which ones still carry unused participation behind them.
🧭 UNIQUE EDGE
Most support/resistance and volume tools stop at drawing a zone. This script adds a reaction-state layer on top of shelf detection:
• Five reaction states per shelf: TOUCH, HELD, RECL (reclaimed), REJ (rejected), LOST
• Fresh vs Reused classification — shelves that have already been tested at least once are faded, so untouched structural levels stand out immediately
• Sticky state logic — a shelf keeps its reaction color until a new transition actually occurs, preventing flicker between bars
• Passive-window coloring — shelves whose last reaction is older than the user-defined active window fade to the neutral accent color, keeping old/stale levels visible without dominating the chart
• Strongest-shelf-only reaction tags with cooldown — reaction labels are printed only for the highest-strength shelf and only on actual state transitions, producing a clean chart even on long histories
The result is a volume-aware reaction map rather than a crowded S/R overlay.
🧪 METHODOLOGY
1. Pivot detection — standard pivot highs and lows over a configurable pivot length act as shelf candidates.
2. Volume qualification — each pivot bar is checked against a rolling 20-bar volume average; bars above the Volume Filter multiplier contribute extra weight to shelf strength.
3. ATR-based clustering — candidates within a configurable ATR multiple of an existing shelf are merged using a touches-weighted mean price, stabilizing the shelf location as evidence accumulates.
4. Confirmation — a shelf must reach the Minimum Touches threshold before it is rendered; weak candidates are pruned after one-third of the lookback window.
5. State machine — on every confirmed bar, a shelf's reaction is updated against the prior close's side (support vs resistance context), using an ATR-scaled buffer to distinguish genuine holds and losses from noise.
6. Ranking and rendering — on the last bar, shelves are sorted by strength; only the top N are drawn, with fresh shelves rendered solid and reused shelves rendered thinner and faded.
🔔 SIGNALS & ALERTS
Three alert types, each debounced per shelf so the same state cannot spam consecutive bars:
• Shelf Touched — price range intersects a confirmed shelf for the first time since its last transition
• Shelf Respected — price HELDs, RECLs, or REJs at a shelf (reaction in favor of the shelf)
• Shelf Lost — price closes through a shelf with the required ATR buffer
Reaction tags on the chart (HELD / RECL / REJ / LOST) are printed only for the strongest shelf and only on a true state transition, with a user-adjustable cooldown for historical cleanliness.
⚙️ KEY INPUTS
Shelf Detection
• Lookback Window (bars) — how far back the pivot scan reaches
• Pivot Strength — bars required on each side of a pivot
• Cluster Distance (x ATR) — how tightly nearby pivots merge
• Minimum Touches — confirmation threshold
Filters & Cleanup
• Volume Filter (x average) — participation threshold for strength weighting
• Show Fresh Shelves Only — hide already-revisited shelves
• Max Shelves to Display — cap visible shelves for chart cleanliness
• Fade Reused Shelves — dim reused shelves so fresh ones stand out
• Reaction Sensitivity (x ATR) — ATR buffer used by the state machine
• Active Window (bars) — how recently a reaction must have occurred to show in full color
Visuals
• Label & Panel Size — Tiny / Small / Normal / Large (default: Normal)
• Show Reaction Tags — toggle on-chart state labels
• Tag Cooldown (bars) — minimum bars between tags on the same shelf
Panel
• Show Info Panel, Panel Location (6 anchors), Panel Theme (Dark / Light)
Alerts
• Shelf Touched, Shelf Respected, Shelf Lost
🧰 HOW TO USE
1. Add the indicator to any liquid symbol and timeframe. Volume-aware markets (crypto, index futures, major FX) and timeframes from 15m upward tend to produce the most structured shelves.
2. Start with defaults. The Active Window of 30 bars is a reasonable middle-ground; reduce it on intraday charts (around 20) or raise it on daily/weekly (30–60).
3. Read the panel:
• Active Shelves — how many of the eligible shelves are currently drawn
• Strongest Shelf — the top-ranked shelf by strength
• Current State — live reaction state of the top shelf
• Fresh / Reused — how the displayed shelves split between untested and already-tested levels
4. Use fresh shelves as higher-quality reaction candidates; treat reused shelves as context, not primary triggers.
5. Combine the HELD / RECL / REJ / LOST reactions with your own trigger logic (e.g. break-retest, liquidity sweeps, momentum shifts). This script is a location and reaction tool — not a standalone trade system.
🧱 LIMITATIONS & TRANSPARENCY
• This indicator describes historical structure and live reactions; it does not forecast price direction.
• Pivot-based detection requires the Pivot Strength window to complete on both sides, so fresh pivots appear with a natural lag equal to the pivot length.
• On very low-volume symbols or illiquid timeframes, shelves may be sparse or unstable.
• The state machine is bar-close based; intrabar wicks can temporarily intersect a shelf without changing its state until the bar confirms.
• Max drawing limits (max_lines_count, max_labels_count, max_boxes_count) are set to 120; extremely long histories combined with large lookbacks may drop the oldest drawings.
⚠️ RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It is not a strategy, not a buy/sell signal generator, and not financial advice. Trading involves substantial risk of loss. Past behavior of levels, volume, or reactions does not guarantee future outcomes. Always apply your own risk management, position sizing, and independent judgment. The author and AGProLabs accept no responsibility for decisions made based on this indicator. 指标

Rejection Block Quality [AGPro Series]Rejection Block Quality
🔹 OVERVIEW
Rejection Block Quality is an ICT-inspired detector that identifies long-wick rejection candles at swept swing pivots and grades each block by objective quality criteria. Unlike Order Block logic — which anchors to the last opposite-direction body before displacement — a Rejection Block (RB) is born from a wick that pierces a prior swing liquidity pool and closes back inside it, with the body confirming displacement on the follow-through bar. The rectangle is drawn from the wick base to the candle body, capturing the exact zone where smart money absorbed the sweep.
🎯 UNIQUE EDGE
Three design choices separate this tool from generic wick or order block indicators:
• Swing-pivot sweep requirement — a rejection is only counted when price sweeps a confirmed swing high or low before the reversal close. Stand-alone wick patterns without liquidity context are filtered out.
• Displacement confirmation window — the candle following the rejection must travel at least 0.6× ATR in the reversal direction, within a 1–5 bar lookahead. No displacement, no block.
• Quality tiering (A / B / C) from three orthogonal factors — wick-to-body ratio, displacement magnitude, and untested freshness. An exceptional wick ratio (≥5× body) promotes a block to A tier regardless of other scores, preserving rare high-conviction rejections.
🛠️ METHODOLOGY
Detection pipeline on every bar:
1. Confirm a pivot sweep using a user-configurable lookback (default 5 bars each side).
2. Check the wick-to-body ratio against a minimum threshold (default 1.8×), with the dominant wick on the sweep side.
3. Queue the candle as a pending block and wait for displacement confirmation.
4. Measure displacement as price travel from the body reference over 1 to 5 bars, normalized by ATR.
5. On confirmation, draw the RB zone from the wick base to the body, record the tier, and begin lifecycle tracking.
Zone lifecycle tracks four events — test (price enters the zone), hold (price exits without a body close through the far edge), break (body close through the far edge), and near miss (price approaches within a configurable ATR band without entering). All events are edge-detected to prevent inflated counts when price lingers near a zone.
📊 SIGNALS & ALERTS
• New block formation label — A / B / C tier plus wick ratio, placed with anti-collision offset.
• Test markers (T) — one per zone entry event, with cooldown to prevent visual clutter.
• Break markers (B) — placed when a zone is invalidated by a body close.
• Wick border highlight — thick colored line on the originating rejection candle.
• Alerts — configurable minimum tier (A, B, or C) fires once per bar close for each qualifying new block.
⚙️ KEY INPUTS
• Detection — Pivot Length, Min Wick-to-Body Ratio, ATR Length, Min Displacement (× ATR), Displacement Confirm Window.
• Zone Management — Max Active Zones per Side, Zone Right Extension, Near-Miss Distance, Near-Miss Cooldown, Break Requires Full Body Close.
• Visuals — Show Zones, Show Tier Labels, Highlight Rejection Wick Border, Show Test / Hold / Break Markers, Zone Fill Opacity, Label Font Size.
• Panel — Show Panel, Panel Location, Panel Font Size, Panel Theme (Dark / Light).
• Alerts — Minimum Tier for Alerts.
🧭 HOW TO USE
Start on a higher timeframe (4H or 1D) to identify macro RB zones, then drill down to execution timeframes for entries. Treat A-tier blocks as the highest-conviction zones, B-tier as situational, and C-tier as context-only. Combine with trend filters, higher-timeframe structure, and risk management — a Rejection Block is a zone of interest, not a standalone buy or sell signal. Use the panel statistics to evaluate how the selected symbol and timeframe have historically respected these zones before committing to them in live decision-making.
⚠️ LIMITATIONS & TRANSPARENCY
This indicator is a structural detector, not a trading strategy. It does not forecast price direction, generate entry or exit orders, or calculate position sizing. The Success Rate statistic reflects how often past tests on detected zones held versus failed within the visible history — it is a descriptive metric, not a performance projection. Zone detection is historical and reactive: a block only appears after the displacement bar closes, so interpretation on live-forming bars is tentative. Performance varies by symbol, timeframe, and market regime.
⚠️ RISK DISCLOSURE
Trading involves substantial risk of loss. Past behavior of any pattern does not guarantee future outcomes. Use this tool as part of a complete analytical framework that includes your own risk management, position sizing, and broader market context. Nothing in this indicator or description constitutes financial advice. 指标

Liquidity Void Navigator [AGPro Series]Liquidity Void Navigator
🔹 OVERVIEW
Liquidity Void Navigator identifies impulsive price displacements that were produced with disproportionately low volume participation — the institutional footprint of a true liquidity void. Unlike geometric gap concepts that rely purely on wick-to-wick imbalance, this engine measures the efficiency of each impulsive bar: how much price moved relative to how much volume was transacted. When price travels faster than the order book justifies, a magnet zone is born. These zones frequently act as high-probability retest and mean-reversion targets for SMC and ICT traders.
🔹 UNIQUE EDGE
Most gap-based tools on TradingView detect Fair Value Gaps using a 3-bar geometric pattern. This indicator uses a fundamentally different signature:
- Volume Efficiency Ratio (core innovation): efficiency = (volume / avgVol) / (range / ATR). Values below the threshold reveal bars where price displacement outpaced volume effort — the statistical definition of a liquidity void.
- Body-based zones, not wick-to-wick: the void box spans the impulsive candle body, excluding wicks that represent liquidity sweeps.
- Dynamic lifecycle management: zones are tracked from birth through mid-line mitigation, with configurable trigger modes (close cross, wick touch, or full fill).
- Strongest-void emphasis: the lowest-efficiency active void automatically receives a bold neutral-colored border, giving traders an at-a-glance view of the most reliable magnet on the chart.
🔹 METHODOLOGY
Each completed bar is evaluated against four quality filters:
1. Range Expansion — bar range must exceed ATR × configurable multiplier (default 1.3).
2. Volume Efficiency — the efficiency ratio must fall below the configurable cap (default 0.85).
3. Minimum Height — void must be at least a fraction of ATR to filter micro-noise (default 0.5×).
4. Body Dominance — the candle body must represent at least 50% of the total range, confirming directional conviction rather than indecision.
Qualifying bars create a directional void zone spanning the body. An optional next-bar gap confirmation adds stricter FVG-style filtering. Active zones are continuously evaluated against the selected mitigation mode and updated in real time. Oldest active voids are pruned when the per-side cap is exceeded, keeping the chart focused on recent, actionable structure.
🔹 SIGNALS & ALERTS
Four alert conditions are available:
- New Bullish Liquidity Void — an upward impulsive void is detected.
- New Bearish Liquidity Void — a downward impulsive void is detected.
- Bull Void Mitigated — closing price crosses the mid-line of an active bullish void from above.
- Bear Void Mitigated — closing price crosses the mid-line of an active bearish void from below.
Each alert fires only on bar close to eliminate repainting concerns. Alert messages include the ticker and timeframe for multi-chart workflows.
🔹 KEY INPUTS
Void Detection
- Volume Baseline Lookback — window for average volume and range calculations.
- Min Range Expansion (×ATR) — minimum impulsive bar size.
- Max Volume Efficiency Ratio — core void qualification threshold.
- Min Void Height (×ATR) — filters micro-voids.
- Require Gap with Next Bar — optional strict confirmation.
- Mitigation Trigger — choose between Close Cross (institutional default), Wick Touch (strict), or Full Fill (swing).
Lifecycle
- Max Active Voids per Side — visual cap to prevent chart clutter.
- Zone Right Extension — how far zones project to the right.
- Show Mitigated Voids — optionally display filled zones in gray.
Visuals
- Bullish / Bearish / Mitigated colors, mid-line toggle, projection arrow toggle, label size.
Panel
- Show / position / font size.
🔹 HOW TO USE
Trend-aligned reversion entries: When price returns to an unmitigated void in the direction of the higher-timeframe trend, watch for rejection at the mid-line or far edge as a potential long (bull void) or short (bear void) trigger.
Breakout continuation context: Newly formed voids in the direction of a breakout often indicate institutional participation. Waiting for a retest of the void zone can provide improved risk-to-reward compared to chasing the breakout bar.
Strongest-void bias: The yellow-bordered void on the chart represents the lowest-efficiency (statistically strongest) active zone. Traders can treat it as the highest-probability magnet for price revisits.
Fill Rate context: A persistently high fill rate on a given symbol or timeframe indicates that voids fill rapidly — more suitable for scalping. A lower fill rate suggests that unfilled voids accumulate meaningfully, offering swing-style opportunities.
Multi-timeframe workflow: Identify voids on a higher timeframe (4H or 1D) as strategic bias zones, then use a lower timeframe (15m or 1H) for tactical execution when price approaches those higher-timeframe voids.
🔹 LIMITATIONS & TRANSPARENCY
- This indicator is built for liquid markets with reliable volume data. Thinly traded symbols or instruments without accurate volume feeds (some spot FX, certain indices) will produce unreliable results.
- Not every detected void will be retested or filled. Voids are statistical zones of interest, not guarantees.
- The indicator is a visualization and analytical tool, not a trading strategy. It does not generate buy or sell recommendations.
- Fill rate statistics are computed over the visible history of active and mitigated voids and are approximate; they are intended as a relative gauge of symbol behavior, not as a backtested performance metric.
- Mitigation triggers are bar-close based to avoid repainting. Intrabar signals may appear and disappear until the bar confirms.
- Zones have a fixed right extension from their birth bar; the indicator does not extend zones infinitely.
🔹 RISK DISCLOSURE
Trading financial markets involves substantial risk of loss and is not suitable for all investors. Past performance of any technical indicator, including this one, is not indicative of future results. This tool is provided for educational and analytical purposes only and does not constitute financial advice, investment recommendations, or solicitation to trade. Users are solely responsible for their own trading decisions, risk management, and outcomes. Always conduct independent analysis and consult with a qualified financial advisor before making investment decisions. 指标

Cumulative Volume Delta Flow [AGPro Series]Cumulative Volume Delta Flow
🔹 **Overview**
Cumulative Volume Delta Flow is a hybrid CVD engine designed to expose order-flow imbalances without requiring footprint charts or exchange-native buy/sell data. It reconstructs cumulative delta using lower-timeframe breakdown when available, with intrabar polarity as a universal fallback — making it work on every symbol and every timeframe. On top of this engine, a triple-layer divergence detector identifies Regular, Hidden, and statistical Exhaustion signals, and every signal is scored by its own statistical strength with a ★/★★/★★★ rating system printed directly on the label.
The indicator is built for traders who want smart-money context at a glance: when buyers are absorbing, when a rally is losing real participation, and when a climactic flush is likely to reverse — with an immediate visual cue of how strong each signal is relative to the recent flow regime.
🔹 **Unique Edge**
Most CVD indicators are single-mode: either they plot cumulative delta, or they call a Regular divergence. This script combines four layers that rarely appear together in one tool:
- Hybrid engine with transparent fallback (no silent failure on high TFs)
- Exhaustion detection based on standard-deviation of CVD change, not price — catches reversals that price-only divergence misses
- Per-signal ★/★★/★★★ strength rating using type-specific statistical metrics (pivot-gap σ for Regular/Hidden, change σ for Exhaustion), so traders instantly know which signals deserve attention
- Optional reaction zones anchored at flow-driven pivots, behaving as dynamic support/resistance born from real participation events rather than pure price structure
🔹 **Methodology**
- The engine computes two parallel delta streams every bar: an intrabar polarity stream (weighted by wick balance for neutral/doji candles) and a lower-timeframe stream that iterates sub-bars and signs each by its close-vs-open direction
- In Hybrid mode, the LTF stream is preferred when it yields a non-zero value; the intrabar stream is used as fallback so the indicator never goes blank on exotic tickers or high timeframes
- A session/daily/weekly reset prevents long-run drift and keeps the cumulative counter meaningful across regime changes
- Pivots are detected on both price and CVD with a shared lookback window; the last two price pivots and their paired CVD values are tested for all four classical divergence relationships
- Exhaustion is a separate statistical trigger: the single-bar CVD change is compared against a 50-bar standard deviation; a σ breach in the direction opposite to the candle body is flagged as climactic absorption
- Each divergence label is rated with stars based on its type: Regular and Hidden use the CVD-pivot gap normalized by 50-bar CVD level stdev (how far apart the two flow pivots are), while Exhaustion uses the σ multiple of the current CVD change (how extreme the climactic event is)
- A cooldown window suppresses signal clustering in chop, and labels are offset by ATR-scaled distance with a leader line so they never collide with candles
🔹 **Signals & Alerts**
On-chart labels with star rating:
- Reg Bull / Reg Bear ★-★★★ — classical reversal divergence (price exhausts, flow refuses)
- Hid Bull / Hid Bear ★-★★★ — continuation divergence (pullback inside an active trend)
- Exh Bull / Exh Bear ★-★★★ — statistical flow climax above the σ threshold
Star thresholds for Regular/Hidden: ★★★ ≥ 2.0σ gap, ★★ ≥ 1.0σ gap, ★ < 1.0σ.
Star thresholds for Exhaustion: ★★★ ≥ 3.0σ, ★★ ≥ 2.0σ, ★ < 2.0σ (minimum trigger is 1.75σ).
Each signal carries its own color code and a leader line connecting the label back to the source candle for fast visual reading. Six discrete alertcondition slots are exposed plus three proactive alert() calls grouped by divergence family, so traders can route regular, hidden, and exhaustion signals to different channels.
🔹 **Key Inputs**
- Calculation Method: Hybrid, LTF Only, or Intrabar Only
- LTF Resolution: Auto (adaptive by chart TF) or fixed 1 / 3 / 5 / 15m
- CVD Reset: Session, Daily, Weekly, or None
- Pivot Length: 2–15 bars
- Toggles for Regular / Hidden / Exhaustion layers independently
- Exhaustion Threshold (σ): 1.0–4.0, default 1.75
- Min Bars Between Signals: anti-clustering cooldown (default 15)
- Reaction Zones: optional, with ATR width, extend length, and max active cap
- Label Size + Label Offset (ATR) for visual tuning
- Info Panel: 5 positions, 4 text sizes, full hide toggle
🔹 **How to Use**
- On the 4H timeframe, run the defaults on liquid instruments: BTCUSDT, ETHUSDT, SPX, ES, major FX pairs
- Treat ★★★ signals as the highest-priority reads of the chart — these are statistical outliers
- Treat ★★ signals as the normal tradeable population — the bulk of decision-making happens here
- Treat ★ signals as background context — use them for bias confirmation, not as primary entries
- Regular divergences are reversal warnings at structural highs/lows; they are most reliable when aligned with a key horizontal level or trendline
- Hidden divergences are trend-continuation entries during pullbacks inside a confirmed trend
- Exhaustion signals mark participation climaxes and often coincide with short-term reversals even when no classical pivot has formed yet
- Check the Info Panel's Last Signal row for the most recent event type and its star rating without scanning the chart
- Enable Reaction Zones when you want persistent S/R context from flow events; keep them off for minimal, label-only use
- Consider combining with a structure tool from the AGPro Series (SFP, Breaker, Unicorn) for confluence
🔹 **Info Panel**
The compact info panel on the chart surfaces seven live metrics: the current cumulative CVD value, the CVD trend classification (Up/Down/Flat based on price relative to its own EMA 21), the last signal's full name and star rating in color, the rolling divergence count over the last 200 bars (Bull / Bear), and the bar-age of the most recent bullish and bearish events. This gives a full situational snapshot without scrolling.
🔹 **Limitations & Transparency**
- CVD from intrabar polarity is an approximation, not true tick-level order flow. Exchange-native buy/sell volume is only available through footprint data
- On very high timeframes (Daily+), LTF breakdown may return partial data; Hybrid mode is recommended
- Divergence signals appear only after both pivot legs are confirmed; the second pivot needs `pivotLen` bars of right-side confirmation, so signals print with that lag
- Exhaustion requires at least 50 bars of CVD history for the standard-deviation baseline
- Star ratings are statistical descriptors of signal strength relative to recent flow, not trade-quality guarantees
- Past performance of any divergence pattern does not guarantee future results; this tool surfaces probabilistic context, not guaranteed reversals
🔹 **Risk Disclosure**
This indicator is an analytical framework, not a trading system or financial advice. Signals are technical observations intended to support decision-making; they do not account for fundamentals, news, liquidity, or your risk tolerance. Always use proper position sizing, stop-loss placement, and risk management. Test the tool on historical data and in a simulated environment before deploying it on live capital. Trading carries risk of substantial loss. 指标

Breaker Block Engine [AGPro Series]Breaker Block Engine
Overview
Breaker Block Engine is a dedicated detection and tracking tool for one of the
most misunderstood concepts in Smart Money trading: the Breaker Block. A
breaker block is an order block that has failed and flipped role — a bearish
order block broken upward now behaves as bullish support, and a bullish order
block broken downward now behaves as bearish resistance. The engine does not
just draw them; it validates each break with displacement strength, tracks
every retest, scores how well each breaker has held its role, and surfaces the
dominant bullish and bearish breakers through a clean info panel.
Unique Edge
Most breaker block scripts stop at drawing a flipped zone. This engine goes
further:
- Each break is validated using an ATR-scaled close-based displacement filter,
optionally combined with above-average volume confirmation, to reject weak
wick-based breaks.
- Every retest of a breaker is counted and evaluated as Held or Lost, and the
state label on the chart shows a live retest hold percentage for each
breaker (for example "Bull Breaker | Held x6 (100%)").
- An invalidation buffer prevents single-wick noise from prematurely killing
otherwise healthy breakers, while genuinely violated zones fade into a gray
"Lost" state and are removed from tracking shortly after.
- Intra-side and cross-side confluence grouping automatically clean up
overlapping labels so the chart stays readable even when several breakers
cluster within half an ATR.
- The info panel summarises the whole picture in one glance: dominant side,
active counts per side, nearest breaker distance in both price and ATR
multiples, and overall retest hold percentage.
Methodology
1. Swing Detection. Confirmed pivot highs and pivot lows are identified using
a configurable pivot length. These pivots anchor the search for order
block candidates.
2. Order Block Candidate. For each confirmed pivot high, the script walks
back up to ten bars looking for the last bearish candle — this is the
bearish order block candidate. The symmetrical process identifies bullish
order block candidates around pivot lows.
3. Break Validation. A candidate is promoted to a breaker only when price
closes past the opposite edge of the order block by at least a
user-defined ATR multiple (default 0.75 × ATR). An optional volume
confirmation filter can additionally require the break candle to trade
above its volume moving average.
4. Retest & Hold Scoring. After formation, each breaker is checked every bar.
If price re-enters the zone and the close respects the breaker's intended
direction, a Hold is recorded; otherwise the retest is counted but not
held. A minimum bar spacing prevents consecutive bars of a sustained
retest from inflating the counter.
5. Invalidation. If price closes past the far edge of the breaker by more
than the invalidation buffer (in ATR), the breaker is marked Lost,
visually faded, and removed from active tracking after a short grace
period.
6. Confluence Grouping. On the most recent bar, breakers whose mid-points
sit within max(0.5 × ATR, 0.5 % of price) of each other have their
overlapping state labels resolved: dead labels yield to alive labels,
older labels yield to newer ones. A cross-side pass prevents stale
opposite-side labels from sitting on top of active ones.
Signals & Alerts
The script provides three alert events:
- New Breaker: fires on the bar a bullish or bearish breaker is confirmed.
- Retest Hold: fires when price retests an active breaker and the close
respects the zone direction.
- Invalidation: fires when an active breaker is broken in the opposite
direction beyond the invalidation buffer.
On-chart signals include the zone itself (coloured by side), a small
directional triangle at the break point, and a dynamic state label on the
right edge showing the breaker's test count and hold percentage.
Key Inputs
- Swing Pivot Length: bars on each side used to confirm swings. Higher values
produce fewer but structurally stronger swings.
- Max Active Breakers per Side: hard cap on simultaneously tracked bullish
and bearish breakers; oldest are pruned when the limit is reached.
- Displacement Strength: ATR multiple required for a close-based break to
validate. Higher values produce fewer, stronger breakers.
- Require Volume Confirmation: when enabled, the break candle must trade
above its volume moving average.
- Invalidation Buffer: ATR buffer added beyond the breaker edge before the
breaker is considered invalidated. Prevents wick-based noise kills.
- Min Bars Between Retests: minimum bar spacing between consecutive retests
of the same breaker, keeping counters from inflating on sustained visits.
- Zone Transparency, Colours, Label & Panel Sizes: full visual control.
- Panel Location, Theme, Far Zone Threshold: the info panel can be placed in
any of six positions, switched between Dark and Light theme, and the
threshold for labelling distant zones as "Far" is user-configurable.
How to Use
- On mid-to-high timeframes (15m and up), leave the defaults. The engine is
tuned for 15m to 4h out of the box but works on any timeframe and
instrument.
- Use the state label hold percentage as a quality gauge. A breaker with a
long history of holds (for example "Held x6 (100%)") has demonstrated
institutional interest at that level; a breaker with mixed results deserves
more caution.
- Use the panel to orient quickly. If the dominant side is Bullish and the
nearest bullish breaker sits within a fraction of an ATR, the chart is in
a supportive regime for long bias; if both nearest values show "Far",
price is floating between structures and caution is warranted.
- Combine with higher-timeframe context. A bullish breaker on the 1h that
aligns with a bullish breaker on the 4h is a stronger zone than either
alone.
Limitations & Transparency
- This is an indicator, not a strategy. It draws zones and tracks their
behaviour; it does not generate buy or sell orders, manage positions, or
calculate performance statistics against a price series.
- Pivot-based detection is inherently lagging by the pivot length: a swing
is only confirmed once the configured number of bars have printed past it.
- Results depend on input choices. Different displacement multipliers, pivot
lengths, and retest gaps will produce different breaker sets. The defaults
are a starting point, not a recommendation.
- No indicator can guarantee future behaviour. A breaker that has held ten
times in the past can fail the next time it is tested.
Risk Disclosure
This script is provided for educational and research purposes only. It is not
financial advice and does not constitute a recommendation to buy, sell, or
hold any instrument. Trading carries substantial risk of loss. Users are
solely responsible for their own trading decisions and risk management. Past
behaviour of a breaker, or of any zone shown by this script, does not
guarantee future results. 指标

Mitigation Block Quality [AGPro Series]OVERVIEW
Mitigation Block Quality grades every order-block retest as A, B, or C based on
the strength, speed, and follow-through of the bounce after price returns to
the block. Instead of just drawing order blocks and leaving you to guess
which ones matter, the script measures each mitigation objectively and keeps
a live scoreboard of how those reactions have been performing.
The result is an order block tool that tells you two things at once: where
the zones are, and how well price has historically respected them on the
symbol and timeframe you are looking at.
UNIQUE EDGE
Most order-block indicators end at detection. This one begins there. Each
time a block is mitigated, the script measures the reaction over a fixed
window and grades the bounce by its ATR-normalized magnitude. That grade
is then reflected everywhere: on the block border, in the on-chart label,
in the dashboard, and in the historical success-rate statistics.
You also get multi-timeframe context, confluence detection, streak tracking,
and a dynamic setup banner that describes the current price-block
relationship in plain English.
METHODOLOGY
1. Detection. Swing pivots are identified using a configurable pivot length.
The last opposite-colored candle before the pivot forms the order block.
2. Mitigation. A block is mitigated when price re-enters the zone.
3. Grading. After a fixed reaction window, the script measures the peak of
the bounce and normalizes it to ATR. Grade A is a strong bounce, B is
solid, C is weak.
4. Invalidation. A body close beyond the block marks it as invalidated.
Invalidated blocks can be hidden or shown as a dotted reference.
5. Retirement. Blocks retire by age, by distance from price, or when the
per-side cap is exceeded.
FEATURES
- A, B, or C grade assigned to every mitigation (ATR-normalized reaction)
- Reaction trail line on Grade A mitigations showing the bounce extent
- Entry marker (diamond) at the exact mitigation bar of Grade A bounces
- Confluence glow when two or more blocks overlap within 0.5 ATR
- Time-based opacity decay so older blocks recede and fresh ones pop
- Optional pulse animation on A/B blocks while price is inside them
- Price-scale labels tagging each active block's grade and side
- Higher-timeframe alignment check against a configurable HTF structural bias
- Dashboard panel with: active count, tested count, success (current),
nearest-block state (Inside / Touching / distance in ATR), all-time
success rate with stacked distribution bar, last-20 success, health
progress bar, current Win/Loss streak, HTF alignment, and a dynamic
setup banner
SIGNALS & ALERTS
Three alert conditions are provided:
- Grade A Mitigation — a premium-quality bounce has been detected
- Grade B Mitigation — a solid bounce has been detected
- Block Invalidation — an active block has been broken
These are alertconditions and can be configured from the TradingView
Create Alert dialog in the usual way.
KEY INPUTS
- Pivot Length and Lookback: control how blocks are detected and how long
they stay on the chart
- Reaction Window and Grade Thresholds (A, B in ATR units): define what
counts as a premium, solid, or weak bounce
- Invalidation Mode: choose between body close or wick pierce
- Retire Block Beyond (xATR): automatic cleanup when price moves far away
- Max Active Blocks per Side and Max Visible Labels: keep the chart premium
- Premium Visuals toggles: Reaction Trail, Entry Marker, Confluence Glow,
Quality Heatmap row, Setup Banner, Pulse, Time Decay, Price Scale Labels,
HTF Alignment, Streak row
- HTF for Alignment: the higher timeframe used for multi-timeframe confluence
- Panel location and theme
HOW TO USE
1. Add the script to any chart and timeframe.
2. Read the panel top-down:
- Last 20 breakdown tells you the recent quality regime
- Nearest Block tells you how close the closest active zone is
- All-time and Last 20 success tell you how reliable those zones have been
- Streak gives you momentum context
- HTF Alignment tells you if the bigger picture agrees
- Setup banner describes what is happening right now
3. Look at the chart:
- A/B/C labels on mitigated blocks tell you how those tests resolved
- Reaction trails and diamonds highlight the premium Grade A mitigations
- Confluence glows mark zones where multiple blocks agree
4. Use alerts to get notified when a fresh Grade A or Grade B mitigation
occurs, or when an active block is invalidated.
The tool is designed to help with discretionary analysis. It is not a
trading system and does not generate buy or sell signals on its own.
LIMITATIONS & TRANSPARENCY
- Pivots are confirmed after the swing length completes, so block detection
has a small structural lag. This is inherent to any pivot-based method.
- Grades are assigned after the reaction window closes. A very fresh
mitigation will briefly show "Active" before its grade appears.
- HTF Alignment uses a 50-period simple moving average on the chosen higher
timeframe as a structural bias proxy. It is a context filter, not a
predictive signal.
- All metrics are computed from the visible historical data on the current
chart. Loading more bars will change the all-time statistics.
- The script uses Pine Script v6 drawing objects. Extremely long histories
on very low timeframes may hit TradingView object limits; the built-in
per-side cap and distance-based retire keep this under control in normal
use.
RISK DISCLOSURE
This script is an analysis aid, not financial advice. It does not predict
future price movement and does not generate trade recommendations. Any
decision to enter or exit a position is the responsibility of the user.
Historical grade distributions are descriptive, not predictive. Past
mitigation behavior on a symbol does not guarantee future behavior.
Trade with risk capital you can afford to lose and use appropriate
position sizing and stop placement.
LICENSE
Released under the Mozilla Public License 2.0. The full source is available
on TradingView via the Open-Source badge. You are free to study and modify
the code subject to the terms of the license. 指标

Adaptive Volume Concentration Levels + Volume-Price Shift BoxDescription
Adaptive Volume Concentration Levels + Volume-Price Shift Box combines two powerful market analysis concepts into one streamlined tool: adaptive volume-based support and resistance mapping, and a real-time volume-price flow dashboard.
The script identifies the most meaningful price zones based on where volume has concentrated over a chosen lookback range, helping highlight areas where the market has shown strong interest. At the same time, it displays a compact shift box that evaluates price, volume, VWAP, OBV, A/D behavior, and momentum to estimate whether market pressure is currently bullish, bearish, or neutral.
This makes the script useful for traders who want both structural levels and contextual order-flow style bias in a single indicator.
How It Works
The script has two main components:
-Adaptive Volume Concentration Levels
It scans historical price action over a customizable lookback period.
Price is divided into bins, and volume is accumulated into those bins.
The script then selects the highest-volume zones and converts them into horizontal support/resistance levels.
A higher timeframe option and smoothing feature can be used to reduce noise and reveal more stable levels.
Levels can be displayed with custom colors, line styles, transparency, and optional percentage labels.
- Volume-Price Shift Box
The dashboard evaluates several internal conditions:
VWAP trend and price distance from VWAP
OBV trend and OBV acceleration
A/D line trend
Relative volume versus average volume
Price momentum
Weighted bullish and bearish scores are calculated from these components.
The final shift score determines whether the current state is:
Bullish
Bearish
Neutral
The box then displays key readings such as shift strength, volume vs average, VWAP distance, shift duration, and OBV state.
Key Features
Adaptive volume-based support and resistance detection
Dual SR logic for identifying important high-volume price zones
Optional higher timeframe processing for cleaner structure
Price smoothing to reduce noise in level calculation
Customizable level count, bin density, transparency, labels, and styling
Real-time shift box with bullish, bearish, or neutral bias
Weighted scoring model using VWAP, OBV, A/D, volume, and momentum
Shift strength readout for quick bias confirmation
Shift duration tracking to show how long the current condition has persisted
Clean visual layout that combines structure and flow into one script
How to Use
Start by applying the indicator to your chart and adjusting the level settings based on your trading style.
For the volume concentration levels:
Increase the lookback if you want broader, more established levels.
Increase the number of bins for finer price granularity.
Use the minimum volume filter to remove weaker levels.
Turn on the higher timeframe option if you want more stable zones from a broader market perspective.
For the shift box:
Use the default settings first, then adjust sensitivity and component weights to better match your market and timeframe.
Watch for bullish or bearish shifts when price approaches one of the plotted volume levels.
Use the strength reading to judge whether the bias is weak or decisive.
Monitor duration to see whether the current directional pressure is fresh or extended.
A practical workflow is:
Use the horizontal levels as reaction zones
Use the box to judge whether current pressure supports continuation or rejection from those zones
Combine both with your existing entry and risk management rules
How It Helps
How It Helps
This script helps simplify decision-making by combining where price is likely to react with how price and volume are behaving right now.
The volume concentration levels help traders identify:
likely support and resistance
potential reaction zones
areas of prior market agreement or interest
The shift box helps traders evaluate:
whether buyers or sellers currently have control
whether momentum and volume are aligned
whether market pressure is strengthening or fading
Used together, the tool can help with:
trade location
directional confirmation
filtering weak setups
improving timing around important price zones
It is especially useful for traders who want a clearer view of both market structure and current flow conditions without cluttering the chart with multiple separate indicators.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, trading recommendations, or an offer or solicitation to buy or sell any financial instrument.
All indicator outputs, classifications (including bullish, bearish, or neutral states), and visual elements are derived from historical market data using user-defined parameters. These outputs are interpretive in nature and do not predict future market performance or guarantee any specific result.
Trading financial instruments involves substantial risk, including the risk of loss exceeding initial capital. Market conditions may change rapidly due to factors outside the scope of this indicator, including but not limited to economic events, news releases, liquidity conditions, execution quality, and slippage.
The developer assumes no responsibility or liability for any trading decisions, losses, or damages arising directly or indirectly from the use of this indicator. Users are solely responsible for evaluating the suitability of this tool for their own trading objectives, risk tolerance, and market conditions.
Past performance, indicator behavior, or historical alignment of signals does not guarantee future results. Use of this indicator constitutes acceptance of these terms.
指标

AG Pro Order Block Reaction Quality [AGPro Series]AG Pro Order Block Reaction Quality
OVERVIEW / WHAT IT DOES
AG Pro Order Block Reaction Quality is an overlay tool designed to organize how price interacts with displacement-origin order block zones. The script identifies the last opposite candle before a strong impulsive move, projects that candle as a bullish or bearish order block, and then tracks whether price later respects, reacts to, or invalidates that zone.
The goal is not to treat every order block as equally important. Instead, the script focuses on reaction quality. When price revisits a tracked zone, the script evaluates the behavior around that revisit and converts the response into a structured quality score. This helps separate zones that produce cleaner reactions from zones that fail, weaken, or transition into breaker behavior.
The indicator is built as a chart-organization tool, not as a prediction engine. It is intended to help users study where impulsive moves originated, how later revisits behaved, and whether those revisits showed clean rejection, weak response, or invalidation. In that sense, the script is less about drawing boxes and more about mapping reaction structure around previously important displacement areas.
Because order block concepts are often displayed in a highly subjective way, this script uses deterministic conditions to reduce ambiguity. Impulse detection, order block selection, reaction-window scoring, and breaker conversion all follow rules-based logic. The objective is to make price interaction around those zones easier to inspect, compare, and review across different market conditions.
UNIQUE EDGE
Many order block tools focus mainly on detection. They draw a bullish or bearish block, then leave the interpretation to the user. This script adds an evaluation layer on top of that detection process. Rather than only asking where an order block exists, it also asks how convincingly price reacted when that zone was revisited.
That difference matters. Two zones may look similar at first glance, but the quality of the revisit can be very different. One revisit may reject cleanly and preserve the zone, while another may penetrate deeply, stall, or fully invalidate. By assigning reaction scores and grade-style labels, the script helps organize those differences visually.
The script also distinguishes active order blocks from breaker behavior. If a previously tracked zone is invalidated, the visualization shifts from standard order block context into breaker context. This adds structural continuity to the chart and helps users see when an old reaction area has lost its original character.
In practical use, the unique edge is the combination of three layers: impulsive-origin zone detection, revisit-based reaction scoring, and breaker-state continuity. Together, those layers aim to give traders a cleaner framework for studying order block behavior than a simple box-drawing approach.
METHODOLOGY
1) Impulse detection
The script first searches for strong directional candles whose range is large relative to ATR and whose move exceeds a recent breakout threshold. This is used as a rules-based approximation of displacement or impulsive participation.
2) Order block definition
Once an impulsive move is detected, the script searches backward for the last opposite candle inside a configurable lookback window. That candle becomes the source order block. Depending on settings, the zone can be projected using the full candle range or the candle body only.
3) Zone persistence and revisit tracking
After a zone is created, the script tracks whether price later trades back into it. That first interaction is important because it provides the data needed to evaluate how the revisit behaved.
4) Reaction quality scoring
When price revisits the zone, the script measures the behavior inside a reaction window. The score is based on factors such as entry precision into the zone, the magnitude of rejection away from the zone, structural integrity of the zone during the test, and the strength of the originating impulse. Those components are combined into a normalized score.
5) Grade translation
The raw score is then translated into a visual grade tier. This is meant to improve chart readability and allow faster comparison between zones that produced stronger versus weaker reactions.
6) Breaker conversion
If price invalidates a zone after it has been engaged, the script can treat that structure as a breaker block. This keeps prior structural context on the chart instead of simply removing it.
7) Visual organization
Bullish zones, bearish zones, and breaker structures are displayed with separate color families so users can distinguish standard order block context from post-invalidation context more quickly.
SIGNALS & ALERTS
The script includes alerts for newly detected bullish and bearish order blocks. These alerts are event-based and are intended to mark when a new candidate zone has been identified according to the script’s internal impulse and source-candle rules.
In addition, the visual state of the chart provides three broad categories of information:
- Active bullish or bearish order blocks that remain structurally valid.
- Breaker blocks that represent previously tracked zones after invalidation.
- Quality-scored reactions that help compare the strength of revisits.
These states should be interpreted as structural context, not as standalone trade instructions. A bullish order block on the chart does not guarantee a long setup, and a bearish order block does not guarantee a short setup. The script is designed to help users study reaction behavior around important zones, not to replace execution rules, risk management, or broader market context.
KEY INPUTS
ATR Length
Controls the volatility baseline used in impulse sizing and reaction calculations.
Impulse Size (x ATR)
Defines how large a move must be, relative to ATR, before it is treated as an impulsive displacement event.
OB Search Bars Back
Controls how far back the script looks for the last opposite candle that becomes the source order block.
Zone Mode
Lets the user choose whether zones are based on the full candle range or the candle body only.
Max Zones Tracked
Limits how many zones remain in memory and on the chart.
Zone Max Age (Bars)
Removes older zones after a defined number of bars so the chart does not grow indefinitely cluttered.
Reaction Window (Bars)
Defines the number of bars used to evaluate how price behaves after a zone is revisited.
Zone Extend (Bars)
Controls how far zones project into the future for chart visualization.
Show 50% Midline
Displays an internal midpoint inside the zone for users who want an additional internal reference.
Show Impulse Markers
Shows or hides impulse-origin markers on the chart.
Label Size
Controls the size of chart labels.
Panel Theme / Panel Font Size / Panel Position
These settings control the visual appearance and placement of the information panel.
LIMITATIONS & TRANSPARENCY
Order block analysis is inherently interpretive, and any script that formalizes it must impose strict rules. That means the script’s logic is intentionally selective. It will not match every discretionary order block definition used by every trader.
The script uses a specific rules-based approximation of impulse, source candle selection, revisit handling, and reaction scoring. As a result, some zones that a discretionary analyst might manually highlight will not appear, while some zones shown by the script may not align with every subjective framework.
Reaction quality is also dependent on the configured reaction window and the selected volatility context. Changing settings can change how aggressive or conservative the script becomes. For that reason, the indicator should be treated as a structured analytical model rather than an objective statement of market truth.
Breaker behavior shown by the script reflects the script’s invalidation logic only. It does not imply that a breaker block will necessarily act as support or resistance in the future. It simply preserves structural history after the original order block state is lost.
This indicator does not use volume profile, order flow, DOM data, or external market microstructure feeds. All calculations are derived from chart data available inside Pine Script.
RISK DISCLOSURE
This script is for chart analysis, research, and educational use. It does not provide financial advice, investment recommendations, or guaranteed outcomes.
No indicator can reliably predict future price movement on its own. Order block reactions may fail, clean-looking zones may break, and high scores do not ensure continuation or reversal. Market context, liquidity conditions, volatility regime, timeframe selection, and execution quality all matter.
Users should test settings carefully, apply independent judgment, and use appropriate risk management. This script should be treated as a decision-support tool for studying price interaction around displacement-origin zones, not as a standalone trading system.
指标

Supply & Demand: Cumulative Volume Delta Flow [ChartPrime]🔶 OVERVIEW
The Supply & Demand: CVD Flow indicator is a high-performance structural analysis tool that merges classic price-action Supply and Demand (S&D) zones with real-time order flow data.
Unlike traditional S&D indicators that only show price boxes, this tool embeds a Cumulative Volume Delta (CVD) Wave directly inside every active zone. This allows traders to see not just where the market turned, but the intensity of the volume delta that has accumulated within that zone since its creation.
🔶 CORE CONCEPT — VOLUME DELTA WITHIN STRUCTURE
Supply and Demand zones represent areas where a significant imbalance between buyers and sellers occurred.
Demand Zones: Created when a bearish "base" candle is followed by a high-momentum bullish breakout.
Supply Zones: Created when a bullish "base" candle is followed by a high-momentum bearish breakout.
By integrating CVD, the indicator tracks the net buying vs. selling volume (Delta) that occurs as price lives within or returns to these zones. This provides a "live" look at whether a zone is being defended by big players or if interest is fading.
🔶 THE CVD FLOW WAVE (POLYLINE ENGINE)
The standout feature of this indicator is the CVD Polyline Wave drawn inside the boxes:
Visualizing Order Flow: The wave oscillates within the zone's boundaries based on cumulative volume delta.
Demand CVD (Cyan): A rising wave suggests aggressive market buying is supporting the demand zone.
Supply CVD (Orange): A falling wave suggests aggressive market selling is reinforcing the supply zone.
Real-time Updates: The wave and the numerical CVD value in the label update dynamically with every bar, providing a clear view of the "Volume Flow" inside the structure.
🔶 SMART DETECTION & MITIGATION
To maintain technical accuracy and chart clarity, the script employs several advanced management logic:
ATR-Based Momentum: Breakouts are validated using a Momentum Multiplier . A zone is only formed if the breakout candle is significantly larger than the recent Average True Range (ATR), ensuring only high-conviction moves are captured.
Overlap Protection: The script automatically checks for redundant zones. If a new zone forms over an existing one, it filters the overlap to keep the chart clean.
Dynamic Mitigation: A Demand Zone is deleted instantly if price closes below its bottom (failed demand). A Supply Zone is deleted instantly if price closes above its top (failed supply).
🔶 INDICATOR INPUTS
ATR Length & Momentum Multiplier: Fine-tune the sensitivity of zone detection. Higher multipliers filter for "Power" breakouts.
Max Active Zones: Limits the number of zones displayed to prevent performance lag and visual clutter.
Custom Colors: Full control over zone fills, borders, and the internal CVD wave colors.
Show Signals: Toggle the "△" and "▽" markers that appear at the moment of breakout.
🔶 HOW TO USE
Zone Validation: When price returns to a Demand zone, look at the CVD label. If the CVD is strongly positive and the wave is rising, it indicates that buyers are actively defending the level.
Absorption Detection: If price is sitting in a Demand zone but the CVD wave is making lower lows, it may indicate "absorption"—where sellers are exhausting the available buy orders, potentially leading to a zone failure.
Targeting: Use Supply zones as logical take-profit areas for longs, and Demand zones for shorts, while using the internal CVD flow to judge if price is likely to bounce or break through.
🔶 CONCLUSION
Supply & Demand: CVD Flow represents a new evolution in structural trading. By moving beyond simple price boxes and incorporating a high-fidelity Cumulative Volume Delta engine, it gives traders an "X-ray" view of the order flow dynamics driving supply and demand.
It is an essential tool for traders who want to combine the reliability of market structure with the precision of volume-based order flow analysis. 指标

Smart Confluence█ SMART CONFLUENCE (SC)
Multi-Factor SMC Trading System
Smart Confluence combines multiple market structure signals into a single confluence score . When enough signals align, it generates BUY/SELL setups with precise Entry Zones, Stop Loss, and 3 Take Profit levels — all fully automated.
Free and Open Source.
█ THE CONCEPT: WHY CONFLUENCE MATTERS
No single indicator is reliable on its own. A CHOCH can fail. An Order Block can break. A sweep can be a fakeout. But when 4-6 different signals all agree at the same time — that's when the probability is in your favor.
Smart Confluence requires a core trigger (CHOCH, Sweep, or EQ-Grab) PLUS enough confirmations to reach the minimum confluence threshold before any signal fires. This eliminates most false signals.
█ CORE FEATURES
1. Market Structure Detection
Automatic Swing High/Low identification with Change of Character (CHOCH) — the moment a downtrend breaks above the last swing high (bullish) or an uptrend breaks below the last swing low (bearish). CHOCH is worth 2 confluence points.
2. Liquidity Sweeps
Detects stop-hunt patterns where price sweeps below recent lows (or above recent highs) and reverses. These sweeps indicate smart money collecting liquidity before the real move. Worth 2 confluence points.
3. EQH/EQL (Equal Highs/Lows)
Identifies liquidity pools where multiple swing points cluster at the same price level. When price sweeps through these clusters (EQ-Grab), it signals institutional order flow. Worth 3 confluence points (configurable).
4. Order Blocks & Fair Value Gaps
Order Blocks — The last opposing candle before a strong move — institutional supply/demand zones. +1 point when price is inside.
FVGs — Price imbalances (gaps between candles) that act as magnets. +1 point when price is inside.
5. Premium/Discount Zones
Calculates where price is relative to the current range. Buy in discount (<50%), sell in premium (>50%). OTE (Optimal Trade Entry) bonus for the 62-79% retracement zone. Up to +3 confluence points.
6. Confirmation Filters
Volume — High volume confirms institutional activity (+1-2 points)
RSI Divergence — Momentum exhaustion = strong reversal signal (+2 points)
EMA Trend Filter — Price vs EMA21/50/200 alignment (+1-2 points)
ATR Volatility — High volatility confirms market activity (+1 point)
HTF Trend — Higher timeframe trend agreement (+1 point)
Candlestick Patterns — Engulfing, Hammer, Shooting Star (+1 point)
█ AUTO-TIMEFRAME ADAPTATION
All parameters auto-adjust to your chart timeframe: Swing Length, Cooldown, OB Lookback, Min Confluence, HTF selection, SL Buffer, Min R:R, EQ Tolerance, EQ Age, Setup duration, S/R Cluster. Supports 1m to Monthly.
█ S/R ZONE DETECTION
Automatic Support/Resistance zones built from clustering multiple sources: Swing points, Order Blocks, FVGs, EQH/EQL levels, HTF levels. Each zone gets a strength score (1-5). Only shows the strongest zones.
█ ENTRY / SL / TP SYSTEM
Entry Zone — Based on active Order Block or FVG. Falls back to current candle range.
Stop Loss — 4 modes: Entry-Based, Swing, ATR, or SMC (below OB/FVG). R:R filter ensures minimum reward.
Take Profit — 4 modes: Structure (next swing), Fixed R:R, ATR-based, or Hybrid (structure if available, else R:R).
Partial TP — Configurable distribution (50/30/20, 33/33/34, 40/40/20, 60/30/10).
█ DASHBOARD
Compact dark-themed info panel showing: Mode (Auto/Manual + TF), Trend direction, HTF confirmation, Premium/Discount zone, S/R levels with strength, Bull/Bear confluence scores, Active setup details (direction, R:R, SL, Entry, TP1-3), SL/TP mode, Partial distribution.
█ ALERTS (8 CONDITIONS)
BUY Signal — Full confluence with valid R:R
SELL Signal — Full confluence with valid R:R
Bullish CHOCH — Trend reversal detected
Bearish CHOCH — Trend reversal detected
EQH Grab — Liquidity pool swept (bearish)
EQL Grab — Liquidity pool swept (bullish)
Bullish Sweep — Stop hunt detected
Bearish Sweep — Stop hunt detected
█ PRO VERSION
The PRO version (Smart Confluence Pro) adds:
Signal Profile Presets — Scalping, Intraday, Swing, Position, Aggressive, Conservative, SMC Pure
Asset Auto-Detection — Crypto, Forex, Stock, Futures with 8 scaling factors
A/B/C Signal Grading — Quality scoring based on Zone, HTF, Volume, Session, Divergence
Risk Management — Account size, risk %, position sizing, custom partial distributions
Session Filter — London, New York, Asia sessions with overlap detection
Funding Rate — Crypto perpetual funding rate as contrarian confluence
Trailing Stop Loss — Break-Even + Trail TP modes
Trade Management Alerts — TP1/TP2/TP3 hit, SL hit, Trailing updates, Setup expiry
14+ Alert Types — Including A-Grade only alerts
█ NON-REPAINTING
All signals require confirmed bars (barstate.isconfirmed for EQH/EQL). Signal confirmation waits for the next candle. HTF data uses lookahead=barmerge.lookahead_off. No future data leakage. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
指标

Synapse_VSync_LibV-Sync (Volume Synchronization) is a multi-dimensional macro-confluence engine. It aggregates four objective market truths into a single synchronized bias (0.0 to 1.0) to filter signals and define market regime.
The Four Pillars of V-Sync
1. Base Volume (Temporal Flux)
Engine: Exponentially weighted volume flow.
Logic: up_volume / total_volume with a math.exp(-i/lookback) decay.
Utility: Capturing sustained momentum in raw participation. It filters out low-volume "fakeout" moves that lack broad participation.
2. Footprint (Order Flow Delta)
Engine: Micro-delta tracking (Institutional Tape).
Logic: Normalized ratio of aggressive buy orders vs sell orders, sourced from LTF footprint or synthetic body-to-wick estimation.
Utility: Identifying where "Smart Money" is actively committing capital in real-time.
3. TICK Data (Market Internals)
Engine: Exchange-wide breadth internals.
Index Mapping:
SPX/ES: NYSE:TICK
NQ/NDX: NASDAQ:TICKQ
Fidelity: Processes intrabar HT/LT extremes to capture high-speed institutional sweeps.
Commitment Levels: Benchmarked at 800 (MOO alignment), 1000 (Extreme), and 1200 (Climax).
4. Thermal Map (Structural Binning)
Engine: Range-based volume distribution (Heatmap).
Logic: 30-bin price-range analysis. Identifies if the current price is supported by "Buy Liquidity" below or capped by "Sell Liquidity" above.
Utility: Visualizing structural depth and identifying high-probability zones where price is likely to stick or bounce.
Interaction & Intelligence Modules
5. Interaction Tooltips
Engine: Dynamic string generator.
Logic: Aggregates pillars (V-Sync, TICK, Heatmap) and local interaction (Delta, OB Bias) into a human-readable forensic report.
Utility: Provides instant clarity on why a level is reacting (e.g., "Institutional Defense" vs "Passive Absorption").
6. Delta Aggregation (Defense vs Aggression)
Engine: Decaying session delta sum.
Logic: Tracks footprint delta at discrete price levels. Categorizes bias as:
Aggressive (A): Delta moves in the direction of the break (Push).
Defensive (D): Delta moves against the local price interaction (Absorption/Soaking).
Utility: Standardizing the interpretation of footprint across all Synapse indicators.
7. Universal Plot Auditing
Engine: Kinetic flux interaction logic.
Logic: Allows auditing of any technical plot line (Moving Averages, VWAP, Anchored Levels) for touches, cross-overs, and structural fidelity.
Utility: Enables the entire Synapse forensic suite to be applied to any existing indicator's data lines.
Library Architecture: Synapse_VSync_Lib
Key Functions
f_get_tick_source(): Auto-detects SPX vs NQ for correct internal sourcing.
f_calc_tick_extreme(): High-fidelity internal pressure tracking.
f_vsync_stack(): Blends all pillars into a weighted consensus.
HUD Representation
Indicators utilizing the full stack display V-STACK (instead of V-SYNC), signifying that Market Internals and Structural structural depth are being calculated alongside volume flow.
License: Open Source (MIT License) 脚本库

Order Blocks Rejection Stats [RT]This indicator identifies Order Blocks based on price action. It draws rectangular zones on the chart for visual identification and highlights bounces (rejections) within these zones. Additionally, it provides optional trade visualization with entry, stop-loss (SL), and take-profit (TP) lines based on user-defined filters, along with a performance summary table for backtesting purposes.
The logic is inspired by smart money concepts (SMC), focusing on pivot zones where price may reverse or continue.
Note that this is a technical tool for analysis only; it does not provide trading signals or guarantees any outcomes.
Key Features
Order Block Detection: Automatically detects and draws bullish (demand) and bearish (supply) order blocks using predefined price action setups.
Bounce Identification: Marks rejections (bounces) at order blocks with triangles for quick visual cues.
Trade Visualization: On bounces meeting filter conditions, plots entry (at close), SL (at block extremity or candle open), and TP (based on adjustable risk-reward ratio) lines. Lines extend until SL or TP is hit, with arrows indicating hits (green for TP, red for SL).
Filters: Includes a customizable moving average (MA) for trend confirmation (e.g., long above MA), time window for session-based trading, and optional SL adjustment to the bounce candle's open.
Performance Table: Displays wins, losses, and win rate in a table (for educational backtesting; not real-time trading results).
Customizable Colors and Sizes: User inputs for line colors and table text size.
Inputs and Settings
Delete Order Blocks After Fill: Removes blocks after price breaks through them.
Order Block Extension Length: Sets how far blocks extend (0 for infinite).
Moving Average Settings: Length, type (SMA/EMA/etc.), and source for trend filter.
Time Filter: Start/end hours/minutes to restrict entries to specific sessions.
Use Bounce Candle Open for SL: Moves SL to the open of the confirming candle.
Risk Reward Ratio: Adjusts TP distance relative to risk (default 1:1).
Line Colors: Separate colors for long/short entry, SL, and TP lines.
Table Text Size: Options from "tiny" to "huge" for the stats table.
How It Works
Block Formation: Scans for pivot setups (e.g., engulfing or break patterns) to create new blocks, queuing them for future retests.
Bounce Detection: When price overlaps a block and forms a reversal pattern, it's marked as a bounce.
Entry Conditions: Entries trigger on bounces above/below the MA and within the time window. Lines are drawn and extended dynamically.
Exit Tracking: Monitors if price hits TP (win) or SL (loss), updates the table, and stops line extension.
Table Update: Shows cumulative stats on the last bar for review.
This indicator can be used on any timeframe or asset for zone-based analysis. Experiment with settings to suit your chart.
Important Disclaimer
This is an educational tool and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and use proper risk management. The developer makes no representations about profitability or suitability for any trading strategy. 指标

Institutional Order Flow Shield [MarkitTick]💡 The Institutional Order Flow Shield is an advanced, overlay-based technical indicator designed to peer inside the standard price chart and extract granular order flow dynamics. By utilizing lower timeframe (LTF) intrabar data, this tool reconstructs buying and selling pressure, helping traders identify hidden accumulation, distribution, and manipulative market practices such as order spoofing and iceberg execution. It acts as a comprehensive shield, filtering market noise through volatility and trend alignment to deliver high-probability signals.
✨ Originality and Utility
Standard volume indicators often fail to distinguish between aggressive buying and aggressive selling within a single candle. This script solves that problem by drilling down into intrabar price action to approximate order flow delta.
● Key Differentiators
Intrabar Reconstruction: Rebuilds volume delta without requiring expensive tick data or footprint charts.
Manipulation Detection: Specifically engineered to detect "Spoofing" (pulling large limit orders to fake price direction) and "Icebergs" (large hidden orders executing in smaller clips).
Adaptive Decision Matrix: Does not just fire raw signals; it weights them using a confidence scoring system based on VWAP, EMA trends, and Relative Volume (RVOL).
🔬 Methodology and Concepts
The core engine of this indicator relies on several interconnected mathematical and logical frameworks to process market data.
● Order Flow Approximation
The script requests lower timeframe data (defaulting to 1-minute candles) and calculates where the close occurs relative to the high-low range of that LTF candle. It allocates volume to the "Buy" side or "Sell" side proportionally. Wick rejections are also factored in to adjust the final volume delta, reducing the impact of passive limit orders getting filled at extreme highs or lows.
● Spoof and Iceberg Logic
Spoof Detection: Triggered when a massive volume spike is followed immediately by a sharp volume drop and a price reversal, indicating that the liquidity was pulled (faked) rather than executed.
Iceberg Detection: Identified when volume surges past a smart threshold (based on a multiplier of the volume SMA) while price stalls, indicating a massive hidden limit order absorbing market aggression.
🎨 Visual Guide
The indicator provides a rich, non-intrusive visual experience on the main chart, utilizing color-coded bars, labels, and a comprehensive dashboard.
● Chart Elements
Bar Colors: Candles are painted bright green for confirmed bullish signals (confidence > 50%) and bright red for confirmed bearish signals.
ACM / DST Labels: Green "ACM" labels indicate accumulation (bullish order flow), while Red "DST" labels indicate distribution. Hovering over these labels reveals a tooltip with confidence score, VWAP alignment, and volume impact.
BPL / APL Labels: Orange labels denoting Bid Pulls and Ask Pulls (Spoofing events).
BWL / AWL Labels: Cyan labels highlighting Bid Walls and Ask Walls (Iceberg events).
WBD / WAK Labels: Faded cyan labels indicating massive Whale Bid or Ask entries based purely on relative volume spikes.
● The Sniper Dashboard
Located by default in the top right corner, this table provides a real-time summary.
Net Whale Flow: The cumulative delta of massive order events.
Decision Matrix: Displays the current overall bias (e.g., "STRONG BUY" or "WAIT/NEUTRAL").
Signal Confidence: A percentage score grading the strength of the current setup.
Filters: Real-time status of RVOL, VWAP Position, EMA Trend, and ATR Gates.
Event Counters: Tracks the total number of spoofing and iceberg anomalies detected during the session.
📖 How to Use
This indicator is best used as a confluence tool for day trading and scalping.
● Trade Execution Guidelines
Identify the Trend: Check the dashboard to ensure the EMA 50/200 trend aligns with your directional bias.
Wait for Manipulation: Look for Spoof (BPL/APL) or Iceberg (BWL/AWL) labels. A Bid Pull (Spoof) often precedes a move lower, while a Bid Wall (Iceberg) can act as solid support.
Confirm with Accumulation/Distribution: Enter a long trade when a green "ACM" label appears, confirming that aggressive buyers have stepped in. Ensure the dashboard's "Signal Conf." is high (above 60-70%).
Risk Management: Place stop losses behind identified Iceberg walls. If an Ask Wall (AWL) is broken by price, it often triggers a short squeeze, offering breakout opportunities.
⚙️ Inputs and Settings
The script offers deep customization through its settings menu, divided into functional groups.
● Order Flow Engine
Intrabar Timeframe (LTF): Determines the granularity of the internal volume calculation.
Flow Batch Length (bars): The rolling window used to sum up recent volume delta.
Flow Sensitivity Ratio: Adjusts how much larger the average buy size must be compared to the sell size to trigger an accumulation signal.
● Spoof & Iceberg Detection
Min Spoof Volume Diff: The minimum volume drop required to flag a pulled order.
Spoof Pull Threshold (%): The percentage drop required compared to the previous bar.
Iceberg Avg Multiplier: How many times larger than the average volume a bar must be to trigger an iceberg alert.
● Smart Filters
RVOL Filter: Requires the current bar's volume to be above a specific relative threshold, keeping you out of low-liquidity chop.
ATR Volatility Gate: Suppresses signals on extremely tight, flat candles based on a minimum ATR percentage.
VWAP / Trend Filters: Toggles the alignment checks that feed into the confidence scoring.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundation of this indicator rests heavily on Market Microstructure Theory and Order Book Dynamics.
● Volume Delta Estimation Models
Because trading platforms often do not natively supply bid/ask tick data for all assets, the script utilizes an intrabar price-proportion heuristic. This aligns with academic models like the Lee-Ready algorithm, which infers trade direction based on price movement relative to previous prints. By applying this to LTF data and rolling it up, the script effectively calculates a weighted approximation of order flow toxicity (the imbalance of aggressive market orders).
● Liquidity Illusion and Spoofing
Spoofing is a recognized manipulative practice where liquidity is posted to the limit order book to create a false impression of supply or demand, only to be cancelled before execution. The script attempts to quantify this mathematically by monitoring sudden, severe variance in Relative Volume (RVOL) coupled with strict directional price reversals. When volume drops below the pullback threshold immediately following an injection phase, the algorithm flags the structural anomaly.
● Bayesian-Inspired Confidence Matrix
The Decision Matrix behaves similarly to a naive Bayesian classifier. It starts with a base event (e.g., an accumulation phase) and updates the probability (Confidence Score) of a successful follow-through by checking independent market state variables: Mean Reversion metrics (VWAP), Volatility (ATR), and Momentum (EMA crossover). This multidimensional filtering ensures that order flow anomalies are only traded when the broader statistical environment is favorable.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指标

Smart Money Engine [WillyAlgoTrader]Smart Money Engine (SME) is a comprehensive overlay indicator that automates the core elements of Smart Money Concepts (SMC) analysis: multi-layer market structure detection (BOS / CHoCH), order block identification with strength grading, fair value gap tracking with fill monitoring, inverse FVG generation, and auto-anchored Fibonacci retracement — all in a single, unified tool.
Rather than stacking five separate indicators on your chart — one for structure, one for OBs, one for FVGs, one for IFVGs, and one for Fibonacci — SME integrates these components so they share a common structural context. Order blocks are created at actual structure break points, FVGs are filtered against volatility, IFVGs are born from filled FVGs, and the Fibonacci grid automatically anchors to the current strong high and strong low. Every component is aware of the others, producing a cleaner and more logically consistent chart than layering independent tools.
🔍 WHAT MAKES IT ORIGINAL
1. Dual-layer structure detection (Swing + Internal). The indicator runs two independent pivot-based structure engines simultaneously. The Swing layer (configurable length, default 10) captures major market structure — the higher-timeframe trend. The Internal layer (shorter length, default 5) captures minor structure shifts within the swing trend. Both label BOS (Break of Structure — continuation) and CHoCH (Change of Character — reversal) independently. This dual-layer approach lets you see whether an internal CHoCH is happening against or with the swing trend — a key distinction in SMC methodology that single-layer tools miss.
2. Order Blocks with contextual grading (A / B / C). OBs are not placed at arbitrary candles. They are created only when a swing-level BOS or CHoCH occurs — the script walks back from the break to find the last opposite-colored candle (the institutional candle that initiated the move). Each OB is then graded:
— Grade A : OB overlaps with an FVG and has a volume spike (highest confluence)
— Grade B : OB has one confluence factor (volume spike OR FVG overlap)
— Grade C : basic OB without additional confluence
Grading helps you prioritize which zones to trade from. OBs extend until mitigated (user choice: close-based or wick-based mitigation), and each OB displays a Consequent Encroachment (CE) midline — the 50% level that often acts as the reaction point within the block.
3. Fair Value Gaps with ATR auto-filter and fill tracking. FVGs are detected using the classic three-candle gap method (current low > high two bars ago for bullish, inverse for bearish). A built-in ATR filter (enabled by default) suppresses FVGs smaller than 0.5× ATR, removing the micro-gaps that clutter charts on lower timeframes. Each FVG extends until fully filled, displays a CE midline, and is automatically removed once price closes through the gap.
4. Inverse FVG (IFVG) generation. When an FVG is fully filled by price, it doesn't just disappear — it transforms into an Inverse FVG with flipped bias. A filled bullish FVG becomes a bearish IFVG (potential resistance); a filled bearish FVG becomes a bullish IFVG (potential support). This captures the SMC concept that once institutional imbalance is filled, the zone can flip polarity. IFVGs are displayed with distinct dashed borders and tracked until mitigated by a close through their zone.
5. Auto-anchored Fibonacci retracement. The Fibonacci grid automatically spans from the current Strong High to Strong Low — the trailing extremes of the active swing structure. When a new BOS/CHoCH shifts the structure, the anchor points update and the grid repositions. The OTE (Optimal Trade Entry) zone between 0.5 and 0.618 is highlighted, giving you an immediate visual reference for the premium/discount equilibrium.
6. Strong / Weak High and Low levels. After each structural break, the indicator identifies the trailing high and low as either "Strong" or "Weak" based on their position relative to the current trend direction. In a bullish swing, the low that initiated the trend is the Strong Low (protected) and the high is the Weak High (target). These levels are extended forward as dashed lines, providing clear reference for where the trend is protected and where it is vulnerable.
⚙️ HOW IT WORKS
Structure detection:
Swing pivots are identified using ta.pivothigh() and ta.pivotlow() with the configured lookback length. The script maintains the most recent swing high and swing low. When price closes above the previous swing high (confirmed bar close, no mid-bar signals), it registers a bullish break. If the prior trend was bearish, this is labeled CHoCH (reversal); if bullish, it is labeled BOS (continuation). The same logic applies in reverse for bearish breaks. Internal structure uses an identical algorithm with a shorter lookback, and its labels are drawn with dashed lines and lighter opacity to visually distinguish them from swing-level events.
Order Block detection:
When a swing-level break is confirmed, the script scans backward (up to 30 bars) from the pivot that was broken to find the last candle with opposite polarity — the candle whose body direction opposes the break direction. The full range (high to low) of that candle becomes the OB zone. A volume spike check (volume > 1.5× 20-period SMA) adds confluence for grading. OBs extend right until the mitigation condition is met.
FVG detection:
On every confirmed bar, the script checks whether the current bar's low exceeds the high of two bars ago (bullish FVG) or the current high is below the low of two bars ago (bearish FVG). If the gap size passes the ATR filter, an FVG box is created. The box extends right each bar. If price fills the gap completely (low touches the bottom of a bullish FVG, or high touches the top of a bearish FVG), the FVG is removed and — if IFVG mode is enabled — queued for conversion to an Inverse FVG.
HTF trend filter:
An optional higher-timeframe EMA(50) filter provides directional bias. The HTF data is fetched using request.security() with confirmed-bar referencing ( + lookahead_on pattern) to prevent repainting. When enabled, the dashboard displays the HTF bias, and the confluence can factor into OB grading.
Anti-repaint compliance:
All structure breaks, OB creation, and FVG detection require barstate.isconfirmed — signals fire only after the bar closes. The HTF filter uses the standard non-repainting security call pattern. No future data is accessed.
📖 HOW TO USE
Reading the chart:
— HH / HL / LH / LL labels at swing points classify the market structure
— Solid horizontal lines with BOS or CHoCH labels = swing-level structure breaks
— Dashed lines with BOS/CHoCH = internal (minor) structure breaks
— Colored boxes = Order Blocks (green-tinted = bullish, red-tinted = bearish)
— Letter labels (A/B/C) on OBs = strength grade
— Dotted midline inside OBs = Consequent Encroachment (CE)
— Blue-tinted boxes = bullish FVGs; orange-tinted = bearish FVGs
— Dashed-border boxes labeled IFVG = Inverse Fair Value Gaps
— Dotted horizontal Fibonacci lines with OTE zone highlight = auto retracement grid
— Dashed trailing lines labeled "Strong High/Low" or "Weak High/Low" = structural extremes
Suggested workflow:
— Identify the swing trend direction from BOS/CHoCH labels and Strong/Weak levels
— Check if internal structure aligns with or diverges from swing structure
— Look for entry opportunities at Order Blocks (prioritize Grade A/B) within the Fibonacci OTE zone
— Use FVGs as additional confluence — a bullish OB that overlaps a bullish FVG is a higher-probability zone
— Monitor IFVGs for polarity-flipped zones that may act as new support/resistance
— Use the dashboard to track active OB/FVG/IFVG counts and HTF bias alignment
Timeframe guidance:
— Scalping (1–5min): Swing Length 5–7, Internal 3, increase Max OBs/FVGs for more zones
— Intraday (15min–1H): Swing Length 8–12, Internal 5, default settings work well
— Swing (4H–Daily): Swing Length 15–25, Internal 7–10, reduce Max OBs to keep chart clean
— Use the HTF filter with 1 step up (e.g. 1H chart → 4H HTF, 4H chart → D HTF)
⚙️ KEY SETTINGS REFERENCE
— Swing Detection Length (default 10): lookback for major structure pivots
— Internal Structure Length (default 5): lookback for minor structure pivots (should be < Swing Length)
— OB Mitigation (default Wick): "Close" = OB removed on close through zone; "Wick" = removed on any touch
— Show OB Grade (default On): display A/B/C strength classification on OBs
— Show OB Midline (default On): display CE (50%) line inside order blocks
— Auto-Filter Small FVGs (default On): suppress FVGs smaller than 0.5× ATR
— Max Visible OBs / FVGs / IFVGs (default 5 each): cap on displayed zones to manage chart clutter
— Show Inverse FVGs (default Off): enable IFVG generation from filled FVGs
— Show Fibonacci Retracement (default On): auto-anchored grid with OTE zone highlight
— HTF Trend Filter (default Off): set a higher timeframe for directional bias via EMA(50)
— Volume Confirmation (default On): add confluence when volume > 1.5× average (auto-disabled on forex)
📊 Dashboard
The info panel (adjustable to any chart corner) displays in real time:
— Swing trend direction (Bullish / Bearish)
— Internal trend direction
— Fibonacci range (Strong High — Strong Low)
— Count of active OBs, FVGs, and IFVGs
— HTF bias (if enabled)
— Current timeframe and indicator version
⚠️ IMPORTANT NOTES
— This indicator does not repaint. All signals and zone creations require bar-close confirmation. The HTF filter uses the standard + lookahead_on non-repainting pattern.
— SME is a structural analysis and zone-mapping tool — it identifies where institutional activity likely occurred, but it does not generate explicit buy/sell signals. Trade decisions should incorporate your own entry triggers, risk management, and additional confluence.
— Past structure patterns and zone reactions do not guarantee future price behavior.
— Performance may vary across instruments and timeframes. Lower timeframes produce more zones and structure shifts; use the ATR filter and Max Visible caps to manage noise.
— The indicator works across all asset classes. Volume-based features (OB grading) are automatically adjusted on instruments without volume data. 指标
