Liquidity Surge Forecast with Win Rate [TechnicalZen]Publishing this v2 with Proven performance dashboard for scalpers.
What This Is
A 3D liquidity-and-momentum visualization with a built-in, MFE-verified win-rate dashboard.
Two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA or signed-ADX) — render as layered terrains inside a bounded 3D box. When both systems agree on direction, a whale surfaces: 🐳 bullish, 🐋 bearish. Every whale is tracked. Every outcome is scored. The dashboard prints the running win rate on your chart, on your instrument, on your timeframe. Live.
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Built On Money Flow Dynamics Forecaster 3D
This is the next iteration. Same solid confluence-detection engine, rebuilt rendering, and a performance dashboard on top for visual proof of how the system is doing.
Improvements over v1:
Win-rate dashboard with ATR-scaled MFE — every 🐳 / 🐋 signal is now tracked and scored. Each signal resolves when the next one fires, judged by directional close or MFE ≥ 0.5 × ATR. No more hand-waving about "does this actually work."
Seamless carpet terrain — layered strips share color between fill and outline. No visible seams; the terrain reads as one continuous surface.
Dotted wave contours — each HMA layer traces as a dotted line along its depth, like isobars on a topographic map. Wave shape is visible at a glance.
Depth fog gradient — far Z layers tint toward atmospheric navy-violet. Real 3D depth perception without extra wireframe.
Dotted wireframe, emphasized horizon — box edges and grids are dotted (quieter), while the Y=0 tide line is kept solid and bold as the one structural anchor that should stand out.
Unified ADX-mode terrain — ADX mode now renders a proper 12-layer terrain (v1 fell back to a single-ribbon). Both oscillator modes share identical visual grammar.
Cleaner defaults — Yaw −20°, Pitch 15°, axis markers off, back-wall grid off, mesh columns removed. Less visual noise out of the box.
Bug fixes — ring-buffer wrap when Slope Lookback > Time Span ; ADX-mode second-signal for the emoji confluence check; dead inputs cleaned up.
If you're coming from v1, interpretation is identical — same riders, same whales, same color semantics. The new dashboard simply gives you a way to measure how often confluence actually pays off.
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The Win-Rate Dashboard — Proof, Not Claims
Most indicators claim a success rate. This one measures it.
Every 🐳 / 🐋 signal is recorded at its first bar of entry and held pending — until the next signal fires. At that moment the indicator judges the previous signal by two criteria :
Directional close — did price close favorable at the next signal's bar? (bull: close > entry. bear: close < entry.)
MFE ≥ ATR threshold — did the favorable excursion between the two signals reach 0.5 × ATR (at the entry bar)? ATR multiplier is tunable.
Either criterion qualifies as a win. Direction alone is a win. MFE alone is a win. No fixed evaluation window — signals are judged against reality when the regime actually changes.
The threshold is volatility-relative : quiet instruments need small moves, volatile ones need larger moves. Always calibrated to the instrument, never arbitrary.
The dashboard shows:
Total bull and bear signals fired (resolved ones only — the most recent signal is pending until the next)
How many won
Rolling win rate, traffic-lit — green ≥ 60%, yellow 40–60%, red < 40%
Your ATR multiplier, printed right on the table
Why next-signal evaluation? Because fixed bar counts are arbitrary. A regime lasts as long as it lasts. When the next whale flips, the previous whale's journey is over — and that's the fair moment to judge it. Entry quality and regime persistence are both captured naturally.
The result: you don't trust marketing, you trust your own data . Every number is computed from your chart, right now, with your settings. Change the ATR multiplier, change the timeframe — the dashboard updates. This is how an indicator should prove itself.
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The Signal
Confluence requires agreement between two fundamentally different witnesses:
Money Flow — volume-weighted momentum (MFI). 20 Hull-smoothed layers (HMA 3 → HMA 60). Detects accumulation or distribution before price has to move.
Price Current — volume-weighted directional pressure (Hull-VWMA 2-bar slope, or signed-ADX HMAs). 12 layers. Detects committed displacement of price.
Money Flow leads. Price Current confirms. When both middle-layer slopes point the same way, a whale fires. That is the signal worth trading — not a crossover, not a threshold break, but two independent systems aligning.
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What You See
Layered dotted waves — each HMA smoothing horizon, stitched into a 3D carpet. Depth fog tints far layers into atmospheric haze for real 3D perception.
Forecast terrain — each layer slope-extrapolated with exponential decay into the future half of the box.
🏄♂ Surfer — rides the Money Flow leading edge (the impulse).
⛵ Sailboat — rides the Price Current leading edge (the trend).
🐳 / 🐋 Whale — surfaces at the forecast edge when both slopes agree. Confluence confirmed.
Dashboard — running win rate, always visible.
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How to Use
Load with defaults. Switch chart to Volume Candles.
Check the dashboard — what is your current win rate on this instrument / timeframe?
Tune Win Threshold (× ATR) to match how strict you want the measurement to be — 0.3×ATR = loose, 0.5×ATR = balanced (default), 1.0×ATR = strict.
Watch for 🐳 or 🐋. They are rare by design.
On a whale, align with the direction. On no whale, stand aside. Let the dashboard keep scoring.
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Best Paired With Smart Candle Structures
This indicator tells you whether and when to trust the flow. Smart Candle Structures tells you where to act — order blocks, fair-value gaps, liquidity sweeps, BOS / CHoCH zones.
Together: the right place, at the right moment, with a measurable win rate behind it.
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Key Settings
Time Span — past bars rendered and forecast horizon (default 15)
Momentum Source — MFI (default) or RSI
Oscillator Type — Hull-VWMA (default) or signed-ADX
Slope Lookback — bars used to compute the slope that fires whales (default 4)
ATR Length — lookback for volatility scaling the win threshold (default 14)
Win Threshold (× ATR) — minimum favorable excursion between signals, as a multiple of ATR at the entry bar (default 0.5 × ATR)
Depth Fog Strength — atmospheric depth gradient on far layers (default 0.55)
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Disclaimer
This is a visualization and analytical tool, not financial advice or a signal service. The dashboard measures what has happened on your chart; it does not predict what will. Markets are reflexive. Past performance does not guarantee future results. Trade with your own risk management. Every trade can lose.
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Confluence you can measure.
— TechnicalZen
Indicator
Level Survival Map [AGPro Series]Level Survival Map
🔹 Overview
Level Survival Map is a premium support and resistance framework that does not just draw lines on the chart. Every detected level carries a live Survival Score between 0 and 100 that answers one simple question: how well is this level still defending itself right now. The map highlights a single Active Level with an interaction zone and a forward projection ribbon, while nearby weaker levels fade, so traders always know which level actually matters for the current decision.
🔸 Unique Edge
Most support and resistance tools either show static pivots or basic break or retest events. Level Survival Map goes further by measuring the quality of every interaction and turning it into a single composite health score per level. Instead of being left with a wall of equally important lines, the trader sees a ranked structural battlefield with one clearly identified Active Level, a visible interaction zone and a projection ribbon for planning. The Damage State readout, the Fresh and Eroded state semantics, the automatic flip from broken support to new resistance and the cluster fade for crowded weaker levels are designed to work together as one premium, low-noise workflow.
🔹 Methodology
Pivot detection builds the raw candidate levels from swing highs and swing lows using the standard pivot window. A merge filter removes duplicates that sit within a configurable ATR distance of an existing same-type level. Each active level then accumulates four independent components over time. Close Respect rewards closes that respect the level side, for example closes above a support. Penetration Damage penalises wicks and bodies that pierce through the level zone. Reaction Quality rewards strong rejection wicks and bodies moving away from the level after a test. Test Fatigue penalises repeated tests because levels tend to weaken with each new hit. These four components are weighted and combined into a single Survival Score, then clamped between 0 and 100. A structural break caps the score at 35, heavy damage across multiple tests caps it at 28, and a confirmed sequence of opposite-side closes flips the level type while resetting its history. The Active Level is chosen as the closest same-side level to price so that the focus always follows the real decision point.
🔸 Signals and Alerts
The visual output itself is the primary signal. Line colour and thickness communicate level strength at a glance. A focused Active Level is drawn with an interaction zone, a darker core band and a forward projection ribbon so that traders can see the exact price band where reaction is most likely, and how far into the future that band is expected to remain relevant. Labels carry the Survival Score directly, so the ranking of levels is always visible without opening any settings. Broken levels switch to a dashed style and faded colour, and once enough opposite-side closes accumulate they flip type automatically, giving a clear visual signature of structural change.
🔹 Key Inputs
Pivot Left Bars and Pivot Right Bars control how strict the swing detection is. Max Active Levels caps how many concurrent levels are tracked. Level Merge Distance and Interaction Zone are expressed in ATR units so the logic adapts across timeframes and instruments. Scoring weights for Close Respect, Penetration Damage, Reaction Quality and Test Fatigue can be tuned independently, together with the fatigue penalty per extra test and the number of closes required to confirm a flip. Visual inputs cover panel position, label size, line width, focus emphasis, non-focus transparency, cluster fade, focus zone width and projection ribbon length and thickness. A Clean Map Mode is provided for screenshot and publishing workflows where only the Active Level and the nearest valid support and resistance are labelled.
🔸 How to Use
Read the map top down. First, look at the summary panel for the Active Level, its Survival Score, Test Count and Damage State. A Fresh or Strong Active Level defending its side is a high-quality decision point. A Fragile or Eroded Active Level with a Severe Damage State is a warning that the next level below or above is likely to take over. Use the projection ribbon as a planning band for reaction rather than a mechanical entry. Use the ranked non-Active labels to understand where price is likely to travel if the Active Level gives way. The tool is designed to be used as a visual framework, in combination with the trader own execution method, trend context and risk management.
🔹 Limitations and Transparency
This indicator is a visual analytical framework, not a strategy, not a signal service and not financial advice. Survival Score, Damage State and flip logic are deterministic functions of price action and ATR, so different markets and timeframes will produce different characteristic score ranges. Pivot based detection is inherently lagging by the Pivot Right Bars window, which is the expected behaviour of any structural tool and not a defect. The Active Level projection ribbon is a visual planning aid, not a forecast. Past level behaviour does not guarantee future behaviour.
🔸 Risk Disclosure
Trading involves substantial risk and is not suitable for every investor. This script is published for educational and analytical purposes only. Users are solely responsible for their own trading decisions, position sizing and risk management. Always test any tool on your own instruments and timeframes before using it in a live environment. Indicator
Session Reaction Map [AGPro Series]Session Reaction Map
🔷 OVERVIEW
Session Reaction Map is a premium intraday study that maps how price reacts to the most important daily and weekly reference levels right at the opens of the Asia, London and New York sessions. Each session open is evaluated inside a fixed measurement window, and the resulting reaction is broken down into four dimensions: dominant move, close follow-through, wick rejection and counter-move penalty. The output is a single 0-100 reaction score that is then translated into tier-coded labels, premium reaction zones, an active reference band and a compact status panel, so you can instantly read what happened at each session open without scrolling through candles.
The indicator is designed for discretionary traders, systematic traders, SMC and price action practitioners who want a clean, consistent and quantitative way to read session open behaviour around PDH, PDL, PDM, Daily Open and Weekly Open. Reactions are drawn as directional zones (bull zones above the reference and bear zones below), with up or down pointing labels centered on the reaction, so orientation is always unambiguous.
🧭 UNIQUE EDGE
Most session open tools only mark time windows or highlight levels. Session Reaction Map goes further and quantifies the quality of the reaction itself. Four independent dimensions are measured against a fixed ATR-normalized baseline, and the final score determines not only whether a label is shown but also how prominent it is. Elite scores (80+) get the strongest visuals; strong scores (70-79) get a slightly softer treatment; watch scores (55-69) are coded as caution; anything below 55 is filtered out by default.
This separation between detection (a session open near a reference) and evaluation (the reaction quality score) is the core edge. It lets you focus only on the best intraday reactions and discard noise automatically, while still being able to audit every component by adjusting the ATR length, touch tolerance, evaluation window and score thresholds.
⚙️ METHODOLOGY
Session detection uses the chosen timezone and three session windows (Asia, London, New York), each with its own editable open range. When a session open occurs, the script checks whether the open price is within an ATR based touch tolerance of any enabled reference level (Previous Day High, Previous Day Low, Previous Day Mid, Daily Open or Weekly Open). If so, a reaction window is engaged on that bar and tracked for a configurable number of bars.
During the reaction window, the live zone, reference band and dashed reference line are updated in real time. When the window completes, the final score is computed as:
• Dominant move score (up to 45 points) - scaled against 1.20 x ATR
• Close follow-through score (up to 30 points) - scaled against 0.90 x ATR
• Wick rejection score (up to 15 points) - scaled against 0.50 x ATR
• Counter-move penalty (up to -20 points) - scaled against 1.00 x ATR
The sum is clamped into the 0-100 range and mapped into four tiers: Elite, Strong, Watch and Weak. The dominant direction of the reaction (up or down) is determined by comparing the upside excursion from the reference to the downside excursion from the reference during the window.
🎯 SIGNALS AND VISUALS
• Reaction zones - rectangular areas connecting the reference level with the reaction extreme, tier-coded by score and bias
• Active reference band - a thin accent band around the current reference level during a live reaction window
• Dashed reference line - marks the exact reference price while the reaction is being measured
• Tier-coded labels - up-pointing labels below bullish reactions and down-pointing labels above bearish reactions, centered on the reaction window
• Session dots - small colored markers that optionally display only on valid events, keeping the chart clean
• Active measurement highlight - an ultra-soft background shade on bars inside a live reaction window
Labels use a ring buffer overlap check, so dense multi-session conditions do not pile labels on top of each other. When two labels would visually conflict, the higher-scored reaction wins.
🛠️ KEY INPUTS
Sessions - enable/disable and edit Asia, London and New York session windows, each with its own color and timezone.
Reference Levels - individually toggle PDH, PDL, PDM, Daily Open and Weekly Open.
Reaction Logic - ATR length, touch tolerance in ATR, evaluation bars, label score filter, minimum label score, overlap reduction (bars and vertical ATR gap).
Visuals - show/hide reference levels, session dots, dots only on valid events, reaction zones, minimum score for zones, zone transparency and extension, live reaction zone, active reference band with its ATR size and transparency, active measurement highlight, level width, label size, label offset in ATR and label background transparency.
Panel - show/hide, position (six anchor points), Dark or Light theme, font size, optional guide row.
All numerical inputs carry professional English tooltips explaining their role, so the script can be tuned for any symbol, timeframe and trading style.
📘 HOW TO USE
1. Apply the script on an intraday timeframe. It is designed for intraday use and will stay passive on daily/higher timeframes.
2. Recommended starting timeframe is 4H for swing intraday context, and 1H for tactical intraday work. Lower timeframes (15m, 30m) work too but may produce dense output.
3. Start with the default settings. Observe which sessions and which reference levels generate the most Elite and Strong reactions on your symbol.
4. Use the panel to monitor the current state: last session, last reference, bias, score, tier, label filter, zone filter and the active reaction status.
5. Treat Elite (80+) and Strong (70-79) reactions as the main signals. Watch tier is informative and Weak tier is generally discarded.
6. Align with your own confluence: higher timeframe bias, structure, orderflow, or whatever your primary framework is. The script does not issue buy or sell calls - it scores reactions, and you decide.
⚠️ LIMITATIONS AND TRANSPARENCY
• This is not a strategy and does not place orders. No backtest statistics are implied.
• Reaction scores are computed after the evaluation window completes, so they are not repainting but are confirmed with a lag equal to the evaluation window size.
• The live reaction zone updates during the window and is finalized when the window closes.
• Session behavior varies significantly by symbol (crypto vs FX vs equities) and by volatility regime. Inputs should be tuned per symbol.
• Daily and Weekly references use standard request.security with barmerge.lookahead_off to avoid look-ahead bias.
• The script is not a forecasting tool. It is a post-event quantification of how price has just reacted to a known reference level.
🛡️ RISK DISCLOSURE
Trading involves substantial risk. Past reactions, patterns, zones or scores do not guarantee future performance. This script is provided for educational and analytical purposes only and is not financial advice. Always combine any tool with your own research, a defined risk plan and proper position sizing. You are solely responsible for your trading decisions. Indicator
Repricing Belt Engine [AGPro Series]Repricing Belt Engine
🔹 OVERVIEW
Repricing Belt Engine identifies qualifying displacement impulses and constructs ATR-scaled repricing belts around the impulse body, then tracks each belt's first-revisit lifecycle through three discrete outcomes: Held, Rejected, and Broken. The engine turns raw impulse candles into structured, evaluable reaction zones — giving traders a clean framework for studying how price behaves when it returns to the scene of a decisive move.
Unlike generic supply/demand or order block tools, this indicator does not simply mark impulse zones and leave them on the chart indefinitely. Every belt has a full state machine: Active → first qualifying touch → terminal outcome. A top-right status panel summarizes active belts, current belt context, 50-bar directional bias, and outcome counts so the chart context is always one glance away.
🔸 UNIQUE EDGE
Most displacement or supply/demand indicators stop at drawing a box. Repricing Belt Engine differentiates itself with four specific mechanics:
• ATR-scaled geometry — Belt width is normalized by ATR (not raw body size), producing consistently visible zones across volatility regimes and symbols. Optional "Auto (Body)" and "Body 70%" modes are available for traders who prefer tighter constructions.
• Three-outcome lifecycle model — Every belt resolves into one of five states (Active, Held, Rejected, Broken, Expired) based on penetration depth and close position. No more static zones cluttering the chart after price has decisively moved on.
• Depth-gated touch qualification — Wick-grazing does not trigger state transitions. A revisit must penetrate the belt by a configurable minimum depth (ATR-relative) before it counts, filtering noise from meaningful reactions.
• Excursion-tolerant hold detection — A belt can be marked Held even when price briefly dips beyond it, as long as the close respects the belt and the excursion stays within the Hold Tolerance band. This matches how institutional levels actually react in live markets.
🔹 METHODOLOGY
1. Impulse Qualification: A bar qualifies as an impulse when its body magnitude exceeds Impulse Threshold × ATR AND its body-to-range ratio is at least Min Body / Range Ratio. Both gates must pass — this filters out long-wick bars that look decisive but are not.
2. Belt Construction: On a qualifying impulse, a belt is drawn using the selected Width Mode. In ATR Scaled mode (default), the belt is centered on the impulse body midpoint and spans ±ATR Width Half-Span × ATR. A mid-line is drawn through the belt center.
3. Cooldown: A minimum bar gap (Cooldown Between Belts) is enforced between consecutive belt formations, preventing rapid clustering in extended trends.
4. Lifecycle Tracking: On every confirmed close, each active belt is evaluated:
• If close breaches the belt with excursion beyond Reject Tolerance → Broken
• If close recovers but excursion exceeded Hold Tolerance → Rejected
• If close respects the belt after a qualifying touch → Held
• If no resolution within Belt Max Lifetime bars → Expired
5. Active Cap: A maximum number of concurrent active belts is enforced (Max Active Belts). When the cap is reached, the oldest active belt is auto-expired to keep the chart focused on the current narrative.
🔸 SIGNALS & ALERTS
On-chart visuals:
• Bull/Bear belt zones with ATR-scaled width and mid-line
• Impulse origin markers (small triangles) anchoring each belt to its source bar
• State-colored labels at resolution: Held OK (state color), Broken X (opposite state color), Rejected (neutral, shown only in Detailed label mode)
• Faded rendering for resolved belts so the active story stays visually dominant
Top-right status panel:
• Active belt count
• Current belt context (side, position, held flag)
• 50-bar directional bias (Bull UP / Bear DN / Neutral)
• 50-bar outcome counts (Held / Rejected / Broken)
Alert conditions:
• Repricing Belt Formed
• Belt Touched (first qualifying revisit)
• Belt Held
• Belt Rejected
• Belt Broken
🔹 KEY INPUTS
Engine
• Impulse Threshold (x ATR) — impulse size gate
• Min Body / Range Ratio — decisive-close gate
• ATR Length — volatility normalization period
• Cooldown Between Belts — anti-clustering filter
Belt
• Width Mode — ATR Scaled / Auto (Body) / Body 70%
• ATR Width Half-Span — belt half-width in ATR units
• Belt Max Lifetime — auto-expiry age
• Max Active Belts — concurrent belt cap
State Thresholds
• Min Touch Depth (x ATR) — qualifying penetration
• Hold Tolerance (x ATR) — clean-hold excursion ceiling
• Reject Tolerance (x ATR) — rejected-vs-broken threshold
Visuals
• Label Mode — Clean / Detailed
• Panel Font Size, Label Font Size
• Show Impulse Markers toggle
🔸 HOW TO USE
1. Apply to any symbol and timeframe. The engine is timeframe-agnostic and self-calibrates via ATR.
2. Watch for new belt formations on displacement impulses. The impulse marker confirms the origin bar.
3. When price returns, observe the lifecycle resolution: Held reactions often mark continuation points; Broken reactions frequently signal structural shifts.
4. Use the 50-bar Bias readout for directional context — sustained one-sided belt formation suggests an active trend.
5. Combine with structure tools (swing highs/lows, trendlines) for confluence. The belt is a reaction zone, not a standalone entry system.
6. Tune Impulse Threshold per timeframe: lower values (1.5–1.7) for intraday, higher (1.8–2.2) for swing.
🔹 LIMITATIONS & TRANSPARENCY
• This indicator is not a strategy and does not generate buy/sell signals. It is an analytical visualization tool.
• Belt outcomes are historical observations, not predictions. Past Held/Broken patterns do not guarantee future reactions.
• Performance varies by symbol, timeframe, and market regime. Always test parameter settings on the instruments you trade.
• Very low-liquidity or gappy symbols may produce noisy impulses. Increase Impulse Threshold or Min Body Ratio for cleaner selection.
• The Max Active Belts cap intentionally limits chart information to keep focus on the current context — raise it only if your workflow benefits from longer belt history.
⚠️ RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It is not financial advice and does not constitute a recommendation to buy, sell, or hold any asset. Trading involves substantial risk of loss. Always conduct your own analysis, manage risk responsibly, and never trade with capital you cannot afford to lose. Past performance of any pattern or setup is not indicative of future results.
Published as Public / Open-source under Mozilla Public License 2.0. Indicator
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. Indicator
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 PulseWire 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. Indicator
Power of Three (AMD) Map [AGPro Series]Power of Three (AMD) Map
🔹 Overview
The Power of Three (AMD) Map visualizes ICT's foundational session-framework concept directly on the chart: Accumulation → Manipulation → Distribution. For each daily or weekly session, the indicator automatically segments the AMD phases, detects classic liquidity sweeps during Manipulation, and projects a distribution target based on the accumulation range. Built for ICT / Smart Money Concept traders who want session-aware bias, transparent sweep validation, and forward-looking expansion projections.
🔹 Unique Edge vs Other PO3 Scripts
Most PO3 indicators on PulseWire simply highlight time-based session blocks and leave liquidity detection to the user's eye. This implementation distinguishes itself through:
• Phase detection by bar count, not timestamps — ensuring consistent AMD ratios across every timeframe from 15m to 1D
• Adaptive sweep confirmation — accepts both same-bar ICT-strict sweeps (wick + close-back) and 2-bar delayed confirmations, significantly improving setup capture without sacrificing quality
• Dual-reference sweep logic — checks both the previous session's accumulation range AND the current session's accumulation range, capturing sweeps that single-reference scripts miss
• TF-adaptive target multiplier — Daily sessions project targets at 0.7× accumulation range, Weekly sessions at 0.3×, aligned with realistic crypto volatility profiles
• Transparent dual-KPI panel — separates Sweep Rate (how often valid sweeps occur) from Target Hit rate (how often the projected expansion completes), giving traders honest, verifiable performance metrics
🔹 Methodology
Each session is divided into three bar-count-based windows:
• Accumulation (first 33% of expected session bars) — tracks the initial range
• Manipulation (next 17%) — scans for liquidity sweeps against the previous session's accumulation high/low and the current accumulation extremes
• Distribution (remaining 50%) — the expected expansion phase, measured against the projected target
A valid Manipulation sweep requires a wick penetrating a reference level followed by a body close back inside (classic ICT definition). In Adaptive mode, sweeps can also confirm within a 2-bar window. The detected sweep direction determines the PO3 bias: sweeping a high produces a Bearish PO3 (expected downside distribution); sweeping a low produces a Bullish PO3 (expected upside distribution). A target price is projected from either the accumulation midpoint (default, symmetrical expansion) or the sweep extreme, multiplied by the configured ratio.
🔹 Signals & Alerts
Four built-in alert conditions:
• Manipulation phase started — Accumulation complete
• Bullish sweep detected — Low was swept, Bullish PO3 forming
• Bearish sweep detected — High was swept, Bearish PO3 forming
• Distribution target hit — Expansion reached projected level
🔹 Key Inputs
• Session Scope — Auto (TF-adaptive), Daily, or Weekly
• Accumulation / Manipulation window percentages (defaults 33% / 17%)
• Sweep Reference — Previous Accumulation, Current Accumulation, or Both (default)
• Sweep Confirmation — Strict (same-bar) or Adaptive (up to 2-bar, default)
• Target Projection Method — From Accumulation Mid (default) or From Sweep Extreme
• Multiplier Mode — Auto TF-adaptive (default) or Manual
• Historical sessions to display (default 5, max 10)
• Full visual customization — colors, label position, font size, panel position & theme
• Premium visuals — sweep triangle markers, target price label (toggleable)
🔹 How to Use
1. Add the indicator to any crypto or forex chart with timeframe 1H–4H (for Daily PO3) or 1D (for Weekly PO3)
2. Watch the Accumulation range form at the start of each session — this defines the sweep reference level
3. When Manipulation phase begins, monitor for a wick that sweeps the previous accumulation high/low with a body close-back (triangle marker appears on confirmed sweeps)
4. Once a sweep confirms, the panel displays the directional bias (Bullish/Bearish PO3), the projected target price, and a dashed target zone extends toward the session end
5. Use the Sweep Rate and Target Hit percentages in the panel to contextualize reliability on your chosen symbol and timeframe
6. The panel's Completion counter grows as new sessions close — give the script enough historical bars to build meaningful statistics
🔹 Limitations & Transparency
• AMD phase windows are bar-count approximations — real sessions do not cleanly segment into 33/17/50 splits. The indicator is a structural guide, not a timing oracle
• Sweep detection requires the chart timeframe to contain at least 4 bars per session. On 1D charts, use Weekly mode; on 1W charts, the indicator will display a warning
• The projected target is a statistical expectation based on the accumulation range. The Target Hit rate (shown in panel) reflects the historical frequency of this expectation being met on the current symbol/timeframe — typically 40–55% on crypto majors
• Sweep Rate shows the percentage of completed sessions where a valid Manipulation sweep was detected; sessions without sweeps produce no bias and no target
• Historical statistics accumulate from the first bar available on the chart and reset only when the chart reloads
🔹 Risk Disclosure
This indicator is a visualization and analysis tool. It does not generate trade signals, predict price movement, or guarantee outcomes. Past Sweep Rate and Target Hit statistics reflect historical behavior only and do not imply future performance. All trading decisions and risk management remain the responsibility of the user. Indicator
Silver Bullet Window Map [AGPro Series]Silver Bullet Window Map
🔹 Overview
Silver Bullet Window Map is a precision time-based tool that maps the three classic ICT "Silver Bullet" kill zones — compact 1-hour windows where institutional order flow is statistically concentrated — and automatically detects Fair Value Gap (FVG) imbalances formed inside each window. Instead of cluttering the chart with session-wide structures, the script isolates only the high-probability time periods ICT scalpers actually trade, rendering each window as a clean vertical zone with a live countdown, pulse highlight on the active window, and a lifecycle S/R zone for every FVG that prints during the window.
🔸 Unique Edge
Most Silver Bullet scripts either draw static colored backgrounds with no analytical value, or detect FVGs across the entire session and overwhelm the chart. This script does neither. It enforces a strict discipline: FVGs are only drawn if they form INSIDE an active Silver Bullet window. Outside-window price action is deliberately ignored. The result is a chart where every marked imbalance carries ICT-legitimate timing context — not noise. Each FVG becomes a horizontal lifecycle zone (bull or bear) that extends forward in time and is dimmed automatically when mitigated, giving you both a real-time map and a historical window-quality record in one view.
🔹 Methodology
The indicator evaluates the current bar's hour and minute in a user-selectable timezone (New York default, per ICT standard) and identifies three windows: London (03:00–04:00), AM (10:00–11:00), and PM (14:00–15:00). During each window, a three-bar FVG check is performed on confirmed bars: a bullish FVG requires the current bar's low to exceed the high two bars back; a bearish FVG requires the current bar's high to fall below the low two bars back. Gaps are filtered by a user-tunable ATR(14) multiplier to reject insignificant imbalances. Valid FVGs are rendered as time-anchored rectangular zones that extend a configurable number of bars into the future and are marked as mitigated the moment price revisits the opposite side of the gap.
A built-in timeframe guard disables rendering on timeframes of 1 hour and above, because Silver Bullet windows are exactly 1 hour long and cannot be resolved by bars equal to or larger than the window itself. On HTF charts, the panel displays a clean warning message instead of a broken visual.
🔸 Signals & Alerts
Four alert conditions are available: London window open, AM window open, PM window open, and window close. The script is designed for discretionary use — it does not issue buy/sell signals. Its purpose is to put the trader inside the correct time context with the correct structural references, and to let the trader read price action within that context.
🔹 Key Inputs
• Timezone: New York / London / UTC / Exchange
• Historical window depth: 1–30 days
• Individual toggles and custom colors for each of the three windows
• Active-window pulse effect (on/off)
• FVG detection (on/off), minimum size as ATR multiple, zone extension in bars
• Mitigation behavior: dim inactive zones or remove them
• Panel position, theme (Dark/Light), and font size
• Window labels and FVG labels: independently toggleable, font size configurable
🔸 How to Use
Best deployed on 1m–30m intraday charts where the 1-hour windows are visually meaningful. The AM window (10:00–11:00 NY) is historically the most actionable for US equities, indices, and major FX pairs. Wait for a window to open — the background lights up, the panel shows ● LIVE, and the window label appears above the opening candle. Look for a displacement candle creating an FVG inside the window. Use the FVG zone as a retest entry reference with risk defined beyond the gap. The panel's countdown and per-window FVG tally help you gauge window quality in real time. At the end of each day, the L / AM / PM tally shows which window produced the most imbalances — a quick read on session character.
🔹 Limitations & Transparency
This indicator does not predict direction. It does not backtest or display historical win rates — such figures on a time-window tool would be statistically misleading without an execution model. FVG detection uses the standard 3-bar definition; alternative definitions (implied fair value, BPR, inversion FVGs, etc.) are not covered by design. The tool is timezone-sensitive: if your data feed's timestamps drift from the selected timezone's DST boundaries, window alignment can shift by one bar around DST transitions. On timeframes equal to or greater than 1 hour, the script deliberately disables all rendering to avoid producing a misleading visual.
🔸 Risk Disclosure
This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading leveraged instruments carries substantial risk of loss. Past price behavior around kill zones does not guarantee future results. Use proper risk management and position sizing at all times. Indicator
Head & Shoulders Auto Detector [AGPro Series]Head & Shoulders Auto Detector
🎯 **Overview**
Head & Shoulders Auto Detector is a precision pattern recognition tool that automatically identifies classic Head & Shoulders (bearish) and Inverse Head & Shoulders (bullish) reversal formations across any market and timeframe. Built from the ground up for traders who want the full lifecycle of a pattern tracked on-chart — not just a label and a line, but forming → confirmation → target/stop outcome — with a transparent, quality-scored framework that filters low-probability setups before they clutter the chart.
Every pattern carries a composite quality score, a symmetry percentage, an ATR-adaptive neckline, two projection targets, and a live status label that evolves through the pattern's lifespan.
🔹 **Unique Edge**
Most H&S indicators stop at detection. This one goes further:
• **Full lifecycle state machine** — every pattern moves through four explicit states (Forming → Confirmed → Target Hit / Stopped / Invalidated / Expired), and the visuals update in real time at each transition.
• **Dead pattern hygiene** — once a pattern fails or hits target, orphan TP and stop lines are removed, the neckline freezes at the decision bar, and the status label grays out. The chart never accumulates stale clutter.
• **Quality-driven visual hierarchy** — high-quality patterns (Q≥75) are rendered with a star marker and full saturation, mid-tier patterns get standard treatment, and low-tier patterns (Q<60) fade into the background so the trader's eye is guided to what matters.
• **Dual-target projection with R:R** — every confirmation displays both a classic measured-move TP1 and an extended 1.618× TP2, each labeled with the exact reward-to-risk ratio calculated at entry.
• **ATR-adaptive everything** — shoulder tolerance, neckline flatness, head prominence, stop buffer, and label offsets all scale with volatility, so the same settings work across BTC 4H, gold daily, or small-cap stocks.
🔹 **Methodology**
Patterns are detected from confirmed pivot highs and lows using a configurable pivot length. For a valid Head & Shoulders, three same-side pivots (Left Shoulder → Head → Right Shoulder) must satisfy:
• Head extends beyond both shoulders by at least the configured ATR multiple (prominence test).
• Shoulder heights differ by less than the shoulder tolerance in ATR units (symmetry test).
• Two opposite-side pivots between LS-Head and Head-RS define the neckline; their vertical distance must be within the neckline tolerance.
• Composite symmetry score (50% time symmetry, 50% price symmetry) must exceed the minimum threshold.
Quality score combines four weighted components:
• Symmetry (45%) — time + price balance between shoulders
• Neckline flatness (25%) — how horizontal the neckline is
• Volume profile (15%) — head-bar volume relative to shoulder average
• Head prominence (15%) — how clearly the head dominates
Confirmation triggers when price closes beyond the neckline level (interpolated for sloped necklines). Stop is placed at the head level plus an ATR buffer to avoid wick stop-outs. TP1 uses the standard head-to-neckline measured move; TP2 extends to 1.618× that projection.
🔹 **Signals & Alerts**
Four alert events available:
• **Pattern Forming** — a valid H&S or Inverse H&S structure has been detected but not yet confirmed.
• **Pattern Confirmed** — close has broken the neckline; entry is live with TP/Stop drawn.
• **Target Hit** — TP1 has been reached on a confirmed pattern.
• **Neckline Retest** — after confirmation, price has returned to touch the neckline (common high-probability re-entry zone).
🔹 **Key Inputs**
• **Pivot Length** — controls swing-point sensitivity
• **Min Symmetry Score** — minimum shoulder symmetry percentage to accept a pattern (default 60, balanced)
• **Neckline Tolerance (ATR)** — how sloped a neckline is allowed to be
• **Shoulder Height Tolerance (ATR)** — how different the two shoulders can be
• **Head Prominence (ATR)** — minimum head extension beyond shoulders
• **Volume Soft Confirmation** — toggle volume influence on quality score
• **TP1 Method** — Classic (horizontal neckline reference) or Measured Move (slope-aware)
• **Stop Buffer (ATR)** — extra room beyond the head level (default 0.35)
• **Max Pattern Lifetime** — bars after which an unconfirmed pattern expires
• Full visual controls: font size, panel position, theme, zone display, label offset, color palette
🔹 **How to Use**
1. Apply the indicator to any liquid market and timeframe. 4H and higher tend to produce the most reliable formations; intraday works but expects more noise.
2. Watch for patterns labeled with a ⭐ and bright color (Q≥75) — these are the highest-confidence setups.
3. Wait for the ✓ Confirmed status to appear before entering; the ⚡ breakout marker pinpoints the exact confirmation bar.
4. Use the TP1 / TP2 R:R labels to size the trade. Stop is pre-calculated at head level + ATR buffer.
5. Monitor the panel stats over time to understand the indicator's behavior on your specific market — Win Rate, Avg Quality, and Last Signal all update live.
6. Consider combining with trend context (a bearish H&S is far more powerful at resistance in a downtrend than in the middle of a strong uptrend).
🔹 **Limitations & Transparency**
• Pattern detection uses confirmed pivots, so signals appear with a natural delay equal to the Pivot Length setting. This is intrinsic to pivot-based logic, not a flaw.
• Quality score and historical win rate are chart-native calculations based on the loaded history; they are descriptive, not predictive.
• The script does not include multi-timeframe confluence or trend filters — these are deliberate design choices to keep the tool focused and composable with other indicators.
• Volume confirmation is a soft scoring input, not a hard filter, since many crypto pairs and indices have volume data of variable reliability.
• Pattern state transitions use close-based confirmation; intrabar wicks do not trigger state changes except for stop/target hits, which are high/low based as expected.
🔹 **Risk Disclosure**
This indicator is an analytical tool, not a trading recommendation or financial advice. Pattern recognition describes what has formed on a chart; it does not predict future price movement with certainty. Always use proper risk management, position sizing, and confirm signals with your own analysis. Past pattern statistics shown on the panel are descriptive of the visible history and do not guarantee future performance. Trading involves substantial risk of loss. Indicator
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. Indicator
Unicorn Model Detector [AGPro Series]Unicorn Model Detector
Overview
The Unicorn Model Detector identifies one of the most discussed setups in Inner Circle Trader (ICT) and Smart Money Concepts literature: the Unicorn Model. A Unicorn forms when a Breaker Block and a Fair Value Gap (FVG) overlap inside the same price zone — a pocket where prior swing liquidity has been swept and an unfilled imbalance still exists at the retest. The detector scans for these overlaps, tracks every occurrence through its full lifecycle, and reports aggregate statistics in a compact on-chart panel. It is a detection and bookkeeping tool, not a trading strategy.
Unique Edge
Most breaker and FVG scripts publish either zones in isolation or require the user to eyeball the overlap. This detector does the overlap match automatically and only draws a zone when both conditions are present on the same chart area with the same directional bias. A strict causality rule is enforced — the Breaker must form first (after liquidity sweep) and the FVG must appear during or after the retest, which matches the true ICT Unicorn definition. A pairing that consumes a given breaker and FVG is removed from future candidate pools, so the chart never stacks redundant zones from the same source structure. A Loose overlap mode is also provided for users who prefer an ATR-based proximity interpretation instead of strict geometric intersection.
Methodology
1. Swing pivots are detected with a configurable left/right length using ta.pivothigh and ta.pivotlow.
2. When a confirmed pivot forms, the body range of the pivot bar is stored as the potential Breaker source zone.
3. A Breaker Block is registered when price closes through the previous-bar swing level in the opposite direction.
4. A Fair Value Gap is registered when a 3-bar formation produces an unfilled imbalance (low > high for bullish, high < low for bearish) and the gap exceeds a user-defined ATR multiple.
5. A Unicorn is spawned when a same-direction Breaker zone and FVG zone overlap vertically AND the FVG formed at or after the Breaker (causality check).
6. A configurable cooldown prevents consecutive spawns from clustering, improving signal hygiene.
7. The overlap rectangle becomes the tracked zone. Zone mid is the reference entry, the stop is placed 0.4 times the zone height beyond the structure boundary, and the target is projected at the user-defined R-multiple.
Signals & Alerts
Four independent alert conditions are exposed:
- New Unicorn Detected — a fresh bullish or bearish Unicorn has just formed.
- Unicorn Triggered — price has entered the overlap zone of a pending Unicorn.
- Target Hit — a triggered Unicorn has reached its R-multiple target.
- Stop Hit — a triggered Unicorn has been invalidated at its stop level.
All alerts fire once per bar close and include the ticker and timeframe in the payload.
Key Inputs
- Swing Pivot Length (default 7) — left/right length used for pivot confirmation.
- Breaker Lookback (default 80 bars) — maximum age for a broken swing to remain a valid Breaker.
- FVG Minimum Size (default 0.25 x ATR) — noise filter for 3-bar imbalances.
- Overlap Mode (Strict / Loose) — geometric intersection vs ATR-tolerance match.
- Reward-to-Risk Target (default 2.0) — multiple used to project the target level.
- Max Active Pending Unicorns (default 3) — chart-cleanliness cap.
- Cooldown After Signal (default 30 bars) — minimum spacing between consecutive spawns.
- Invalidate on Close Through Zone (default off) — optional tighter invalidation rule.
- Visual controls — show/hide per lifecycle state, label size, zone opacity, max recent labels.
- Panel controls — show/hide, location (6 positions), theme (Dark/Light), text size.
How to Use
1. Add the indicator to any timeframe; higher timeframes (1H, 4H, 1D) tend to produce structurally more meaningful Unicorns.
2. Watch for a new Unicorn zone to appear. Pending zones are drawn in the directional state color with a bold border; triggered ones switch to the indigo accent color; TP / SL / Expired zones fade to their respective colors with a thinner border.
3. Each zone carries a tethered flag label outside the price axis — Bullish labels below, Bearish labels above — so they never overlap candles.
4. The panel reports running counts of pending and active Unicorns, historical win rate, average R per setup, and total completed.
5. Use the displayed entry / target / stop reference lines as a structural map for your own analysis. The tool does not place orders and does not recommend position sizing.
6. Combine with higher-timeframe bias (trend, session context, HTF structure) before acting on any zone.
Limitations & Transparency
- The detector is a structural scanner, not a forecasting engine. It reports what has formed, not what will happen.
- Swing detection depends on pivot length; shorter lengths generate more noise, longer lengths miss smaller structures.
- Statistics are calculated on-chart from historical bars loaded by PulseWire and will vary with timeframe, symbol and data range.
- Realtime behaviour: zones are drawn on confirmed events (bar close for breaks, 3-bar-complete for FVGs). Some invalidations are evaluated intrabar on wick touches of the stop level.
- The script is open-source under Mozilla Public License 2.0. Users are encouraged to inspect and adapt the methodology.
Risk Disclosure
This indicator is provided for educational and analytical purposes only. It is not financial advice, a trading signal service, or a strategy. Past structural patterns do not guarantee future outcomes. Trading involves substantial risk of loss; readers are solely responsible for their own decisions and risk management. Indicator
Swing Failure Pattern (SFP) Engine [AGPro Series]Swing Failure Pattern (SFP) Engine
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OVERVIEW
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Swing Failure Pattern (SFP) Engine detects high-probability liquidity sweep
events at prior swing highs and lows. An SFP occurs when price pierces a
recent swing level with a long wick but closes back inside the prior range,
signalling failed continuation and potential mean reversion. Each event is
scored on four components, drawn as a mid-sized support/resistance reaction
zone, and tracked through its live cycle — with panel statistics on MFE,
MAE, and hit rate. Designed for visual pattern reading and confluence;
not a buy/sell system.
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UNIQUE EDGE
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Most SFP indicators mark the sweep candle and stop there. This engine treats
each SFP as a living support/resistance band: the zone extends to the right
every bar and only freezes when the swept level is actually broken on close.
That preserves the SR context that traders use in real decisions, without
cluttering charts with zones that never die. A composite score (0-100),
confluence grouping of nearby events within 0.5 ATR, and live MFE/MAE
tracking in ATR units turn a common pattern into a measurable framework.
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METHODOLOGY
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Swing detection uses pivot highs and lows confirmed by a configurable
lookback. An SFP is confirmed on bar close when four conditions are met:
1. The bar wicks beyond a prior unswept swing high (bearish) or swing low
(bullish) within the active lookback window.
2. The close reclaims the prior range by at least the user-defined ATR
distance (default 0.25 ATR).
3. The sweep-side wick represents at least the minimum wick ratio of total
bar range (default 55 percent).
4. Bar volume exceeds its 20-period SMA by the configured multiplier
(optional, default 1.15x).
Composite score (0-100) weights wick ratio (40), reclaim distance in ATR
(30), volume confirmation (15), and swing age (15). Only events above the
minimum score threshold are drawn. Each confirmed SFP removes its swept
swing from the active array to prevent re-triggering on the same level.
Confluence grouping merges same-side events within 0.5 ATR into a single
labelled zone with an x2, x3 count.
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SIGNALS & ALERTS
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Visual signals on chart:
- State-coloured label at the sweep bar reading Bull SFP or Bear SFP with
the composite score (e.g., Bull SFP 74). Confluence-grouped events are
suffixed with the merge count (e.g., Bear SFP 81 x2).
- Rectangular zone spanning the swept level and the SFP close, with a
small ATR buffer. The zone extends right each bar while active and
freezes in neutral grey when the swept level breaks.
- Dotted horizontal line marking the swept swing level.
- Dashed projection line indicating the reversal direction.
Alert conditions:
- Bullish SFP: fires on the confirmation bar of a bullish event above
the score threshold.
- Bearish SFP: same, for bearish events.
- Zone Invalidation (optional): fires when an active zone's swept level
is broken on close.
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KEY INPUTS
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Detection:
- Swing Pivot Length - bars each side of a pivot (default 5).
- Swing Lookback - how far back active swings are tracked (default 120).
- Min Wick Ratio - minimum sweep wick as fraction of bar range (0.55).
- Min Reclaim Distance (ATR) - how far close must reclaim (0.25 ATR).
- Require Above-Average Volume and Volume Multiplier (default 1.15x).
- ATR Length (default 14).
Scoring & Filters:
- Min SFP Score (default 55 of 100).
- Max Active Zones retained on chart (default 8).
- Stats Timeout - bars after which an unresolved event is counted in
averages (default 30). Does not affect zone visibility.
Visuals:
- Zone transparency (default 80), confluence grouping distance (0.5 ATR),
label size, and toggles for zones, swing lines, and reversal projections.
Panel:
- Location (8 options), Dark/Light theme, text size.
Alerts:
- Independent toggles for bullish, bearish, and invalidation alerts.
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HOW TO USE
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Apply the indicator to any chart and timeframe. Higher timeframes (1h and
above) produce cleaner swings; lower timeframes require a higher Min Wick
Ratio and Min Score to filter noise.
Read SFPs as liquidity sweep events, not standalone entries. A bullish SFP
below a prior swing low indicates that sellers failed to extend the move —
often a location where larger participants accumulate. The score reflects
sweep quality; higher scores (70+) generally correspond to cleaner
rejections. Use the zone as a support/resistance reference until it is
invalidated.
Panel statistics describe the observed sample on the loaded chart, not a
backtested system. MFE Hit Rate is the percent of resolved zones that
reached 1 ATR in the SFP direction before the swept level broke — it is a
quality reference, not a win rate for any trading strategy.
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LIMITATIONS & TRANSPARENCY
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- Signals confirm on bar close; intrabar conditions may change until close.
- Pivot detection introduces a natural bars-of-right-context lag equal to
the Pivot Length. This is intrinsic to any pivot-based approach.
- Panel statistics reflect events visible on the current chart load and
will vary with timeframe, symbol, and bar range.
- MFE Hit Rate is not a profit expectation. It measures whether price
moved 1 ATR in the SFP direction before the swept level broke.
- Volume confirmation uses chart volume and may behave differently on
symbols with inconsistent volume data.
- The indicator uses standard Pine Script drawing objects. Chart reload
may reset ephemeral visual states of resolved zones.
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RISK DISCLOSURE
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This indicator is a visualisation and analysis tool. It is not a trading
system, not financial advice, and not a signal service. It does not
predict future price movement. All trading decisions carry risk of loss
and are the sole responsibility of the user. Historical pattern behaviour
does not guarantee future results. Test thoroughly on your instruments
and timeframes before making any decisions. Indicator
Money Flow Dynamics Forecaster 3D [TechnicalZen]The art of swimming with the whales 🐳
What is this?
MFDF 3D provides a topological three-dimensional mapping of current market drivers and potential future trajectories.
is a visual analysis indicator that compresses several ideas into one spatial model: recent history, layer depth, directional amplitude, and short-term forward continuation.
Visually a three-dimensional momentum ocean where two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA-driven) — are rendered as layered terrains inside a bounded 3D box. Past history forms a waved carpet; the future is slope-extrapolated with exponential decay. When both systems agree, whales appear — 🐳 when the tide is rising, 🐋 when it's falling.
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The Metaphor — Swimming With the Whales
Markets do not move on their own. They move because whales move them — large institutional players whose positions are too big to enter or exit in a single candle. A pension fund building a position, a market maker hedging a block, a macro desk rotating out of a sector — none of them can step in without leaving ripples.
When whales move, they leave two distinct footprints in the tape:
Money Flow — volume concentrated at favorable prices. You don't see it as a price change at first; you see it as buying pressure accumulating . MFI, weighted by volume, detects this before it becomes price.
Price Current — the volume-weighted tide. Once enough pressure accumulates, price itself has to drift in the direction the whale is pushing. Hull-VWMA slope tracks this.
Retail traders typically see only the second footprint — price moving. By then the whale is already positioned. Money Flow shows you the first footprint before price has to respond, which is why MFI leads VWMA in this indicator.
The goal is not to catch the whale — you can't. The goal is to see the ripples early enough to swim with the tide instead of against it. That's what "swimming with the whales" means: recognizing the institutional current and aligning with it, instead of fading it and getting dragged under.
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The Fluid Dynamics
Every oscillator you've used is a single line. MFI is one line. RSI is one line. MACD is two lines and a histogram. They're flat because they pick one smoothing length and commit to it. You see where momentum is; you don't see its shape .
This indicator draws a family of 20 Hull-smoothed Money Flow variants simultaneously , each using a different HMA length (3, 4, 5, 6, 8, 10, 12, 14, 17, 20, 23, 26, 30, 34, 38, 42, 46, 50, 55, 60). Short HMAs foam at the surface, reacting instantly. Long HMAs move like glaciers. Stitched together across time and depth, they form a genuine fluid — ripples, waves, surges, cascades, turning-tides — not a line, a current.
The Hull-VWMA carpet is the same idea on a second dimension: 12 depth layers, each the 2-bar percentage slope of a Hull-smoothed Volume-Weighted Moving Average. This is your price current : where the volume-weighted tide is moving, independent of momentum.
Two independent Wireframes. Shared 3D box. When they agree, the whale arrives.
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The 3D Box
Axes:
X — time (past bars left of center, forecast right)
Y — amplitude, signed ±100 (positive = bullish, negative = bearish)
Z — depth layer (each HMA length sits at a different depth)
Reference planes:
The translucent Y=0 plane is momentum neutrality — where MFI = 50, VWMA slope = 0. Wireframes rise above it when bullish, sink below when bearish.
The X=0 plane marks the current candle. Everything to the left is memory; everything to the right is forecast.
Nine labeled points (A–I) on the Y=0 plane let you orient instantly.
Riders:
🏄♂ — rides the leading edge of the Money Flow terrain (HMA 20 middle layer)
⛵ — rides the Price Current leading edge (Hull-VWMA slope in Hull-VWMA mode, signed-ADX HMA in ADX mode)
🐳 — breaches at the forecast end when both slopes are bullish
🐋 — dives at the forecast end when both slopes are bearish
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Color Aesthetics
The color choices are not random — they carry semantic weight.
Money Flow terrain uses traffic-light logic:
Yellow at neutral (v ≈ 0)
Yellow → Green as bullish momentum grows
Yellow → Red as bearish momentum grows
Solid green above +50, solid red below −50
Hull-VWMA carpet uses a water palette:
Light blue at neutrality — still water
Light blue → Cyan as money flows in
Light blue → Maroon as money flows out
Transparency encodes magnitude: weak signals fade to nearly invisible, strong signals saturate. You read intensity at a glance, without staring at a number.
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The Forecast
Past Wireframes tell you where you've been. The right half of the box projects where you're heading .
Each of the 20 + 12 = 32 HMA layers gets slope-extrapolated into the future:
future = current + slope · t · decay^t
slope is computed from the last N bars (default 4)
decay (default 0.92) is the honesty multiplier — the further out you go, the less confident the projection, so the slope contribution fades
All forecast values clamp to ±100 so they never escape the box
Rendered as translucent ghost terrain in the forecast half, colored with the same palette as the past but softer. You see the shape of projected momentum , not a point estimate.
When both the Money Flow middle-layer slope AND the Hull-VWMA middle-layer slope agree on direction, a whale surfaces at the forecast's far edge. This is confluence — two independent systems pointing the same way. That's the signal worth swimming toward.
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The Two Riders — Surfer vs Sailboat
The two emojis on the present-boundary are not decoration. They represent two fundamentally different kinds of signal — and understanding the difference is the whole game.
🏄♂ The Surfer — rides the Money Flow terrain. Surfers feel the impulse : every short wave, every gust of buying or selling pressure, every sudden shift in volume-weighted momentum. Surfers are fast, reactive, sensitive. What the surfer tells you: "the wind just picked up" — or "it just died." This is the quick, leading signal.
⛵ The Sailboat — rides the Price Current carpet. Sailboats don't react to gusts; they set their course by the trend — the steady directional pressure of the volume-weighted tide pushing the boat one way or the other. Slow, deliberate, confirmed. What the sailboat tells you: "the current is actually carrying us this way now." This is the confirming, lagging signal.
These are two different kinds of information, not two views of the same thing:
The surfer sees the impulse before it matures into committed direction.
The sailboat confirms that the impulse has turned into real directional displacement.
When both agree — surfer AND sailboat pointing the same way — momentum builds faster than either signal could account for alone. That agreement is the proof that big money isn't just testing the waters; they're actually moving them. That's when a whale surfaces.
Surfer alone = wind, no commitment yet. An impulse without confirmation — interesting but unconfirmed.
Sailboat alone = drift, no fresh push. A trend without new pressure — may be tired.
Surfer + Sailboat = whale. Both fresh impulse and committed direction. Institutional participation confirmed.
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Reading the Whales — What They Mean For Decisions
A whale is not a liquidity-grab signal. It is a confluence signal: both independent systems have agreed on direction at the same time.
🐳 — Money Flow and Price Current are both rising. Buyers are accumulating AND getting filled at progressively higher prices. This is sustained pressure, not a stop-hunt or a single-bar spike.
🐋 — Both falling together. Selling pressure AND price giving ground in lockstep.
No whale — the two systems disagree, or both are flat. Low-conviction zone.
Decision framework
🐳 → align long, don't fade. This is a conviction trade, not a reversal bet. Big money is actually pushing the tape, so size up with the tide instead of against it.
🐋 → exit longs or consider shorting. Don't buy the dip blindly — the volume-weighted price is confirming the sellers, not fighting them.
No whale → stand aside, or scale out of existing positions. Wait for confluence before committing fresh risk.
The mental model: "is big money actually moving the tape right now, or just shuffling?" Whale = pushing. No whale = shuffling.
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Helpful Tip — Money Flow Leads Price Current
How to Use It in Practice
The best way to use the indicator is to read it in layers. It is not a one-glance yes or no system. Its advantage comes from helping the user see whether a move has internal support, whether the structure is broadening or thinning, and whether the present slope still has credible continuation.
• Start with orientation: Keep the default camera first. Learn where the zero plane is, where present time sits, and how positive and negative terrain occupies the box.
• Read the momentum terrain first: Look for height, curvature, and continuity across layers. A broad aligned rise or fall is stronger than a single sharp spike on only the fast layers.
• Check the oscillator carpet next: In Hull-VWMA mode, ask whether price-current slope supports momentum. In ADX mode, ask whether directional trend strength is building under the move.
• Inspect the forecast half: Use the ghosted forward half as a continuation sketch, not as a promise. Flattening structure, decaying height, or diverging layers often matter more than the exact projected endpoint.
• Use the whale as confirmation, not as the whole trade: The whale is most useful when it appears after the terrain has already become coherent, not when the picture is still fragmented and noisy.
Practical setup profiles
Fast tape
Suggested mode: MFI + Hull-VWMA
What to emphasize: Steeper terrain changes and quicker second-signal response.
Reading style: Use for intraday pulse and immediate continuation checks.
Cleaner swing structure
Suggested mode: RSI + Hull-VWMA
What to emphasize: Broader curvature and less volume sensitivity.
Reading style: Use when the user wants smoother rhythm and cleaner layer alignment.
Trend-strength confirmation
Suggested mode: MFI or RSI + ADX
What to emphasize: Whether directional pressure is actually strengthening underneath the move.
Reading style: Use when momentum looks attractive but may be structurally weak.
In practice, the Money Flow terrain (yellow/green/red) turns before the Hull-VWMA carpet (cyan/blue/maroon) . Volume-driven accumulation and distribution show up in MFI first — price only has to move afterwards to reflect what already happened underneath.
What to watch for:
Momentum terrain flipping color while the carpet is still flat → early warning . A whale sighting may be forming but is not yet confirmed.
Carpet starting to tilt the same way → confirmation building . Slopes are aligning.
🐳 / 🐋 appears at the forecast edge → confluence . Both systems point the same way. Act.
Read the terrain first. Wait for the carpet to catch up. Act on the whale.
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Why This Is Different
Traditional oscillators answer: "what is momentum doing right now?"
This indicator answers:
What is money flow doing across every smoothing horizon at once? — the 20-layer Wireframe shows the full shape of momentum, not a single slice
What is the volume-weighted price doing independently? — the Hull-VWMA carpet is a second, independent witness
What do they predict together? — slope-extrapolated forecasts fill the future half; confluence emojis mark conviction
How strong is the signal? — opacity, saturation, and emoji presence are all quantitative encodings
No threshold to wait for. No line to cross. The ocean tells you where you are — and the whales tell you where it's heading.
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Best Used With Volume-Weighted Candles
Switch your PulseWire chart's bar type (top-left dropdown) to Volume Candles .
Here's why this matters: the Hull-VWMA layer is already volume-weighted mathematically. When the chart's candles are ALSO volume-weighted, every visible pixel speaks the same language — price, indicator terrain, and forecast are all reading the same volume-filtered reality.
Thin-volume wicks and gap-outs stop polluting the chart, so they stop polluting the forecast
🐳 / 🐋 confluence signals calibrate more cleanly because both the price action and the indicator see the same "what the volume actually cared about"
On plain OHLC candles the indicator still works — but low-liquidity price spikes can disagree with the terrain. On VWC they move in lockstep.
If you want one setup to remember: Volume Candles + this indicator + default settings . Swim with the whales.
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Best Paired With Smart Candle Structures
This indicator answers one question: "Is big money flowing, and in which direction?" It does not answer: "At what price level should I enter, exit, or place my stop?"
For that you need structural context — the levels where the market has historically reacted. Smart Candle Structures (order blocks, fair value gaps, liquidity pools, break-of-structure / change-of-character zones) maps exactly those levels.
The two tools are complementary, not redundant:
Smart Candle Structures gives you WHERE — the structural level worth reacting at.
MFD Forecaster gives you WHETHER AND WHEN — is the flow actually supporting a reaction here, and is it committed enough to act on?
The ideal workflow:
Smart Candle Structures highlights a level worth watching (an unfilled order block, a liquidity sweep, a CHoCH break).
Price arrives at that level. You don't act yet.
Watch this indicator: is the surfer turning? Is the sailboat joining? Is a whale forming in the forecast half?
Structure + confluence = your trigger. Structure without confluence = low-conviction trap. Confluence without structure = direction without location.
Pair them and you have both legs of the trade: the right place, at the right moment, with conviction .
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PulseWire Chart Stretch — Feature, Not Bug
Pine drawings live in chart coordinates (bar_index × price), so they stretch with your chart. Most indicator authors fight this. We lean into it.
Horizontal zoom → bar spacing changes → the 3D box widens or tightens organically. Zoom in tight to inspect individual layer positions; zoom out to see broad wave cycles.
Pane height changes → vertical proportions adjust. Invisible ±50 anchor plots lock the Y range so the box never jumps when values move.
Emojis scale with the pane — surfers and whales always read clearly at any zoom.
The indicator breathes with your viewport . That's what a real 3D visualization should do in a chart environment. It's responsive by design, not despite itself.
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Settings Overview
Core
Time Span — past bars rendered (default 15). Also the forecast horizon.
Momentum Source — MFI (volume-weighted, default) or RSI (pure price)
Momentum Length — 14 default
Rib Amplification — stretches the ribs vertically to fill the box
Oscillator (Hull-VWMA)
VWMA Length — default 30
HMA Length — default 20
Hull-VWMA Scale — amplifies the slope into ±100
Bull/Bear/Neutral Tint colors
Camera
Yaw — horizontal rotation (−180 to +180)
Pitch — vertical tilt (default 5° = eye-level)
Scale X / Y / Z — box proportions
Forecast
Slope Lookback — bars used to compute current slope (default 4)
Decay per Bar — how slope contribution fades into the future (default 0.92)
Display
Box Wireframe, Y=0 plane, Axis markers, Mesh wireframe, Grids (all togglable)
Show Emoji Markers — master toggle for all four emojis
Quick-Start Tips
Load with defaults.
Switch chart bar type to Volume Candles.
Watch for 🐳 and 🐋 — they're rare, by design. They mean confluence.
Read the color gradient — yellow is neutral, bright green / cyan is strong bull, red / maroon is strong bear.
Try yaw presets: 0 = front view, 45 = corner, 90 = side, 180 = back.
Lower time spans (10–15) for intraday, higher (25–40) for daily and weekly.
Money Flow leads Price Current. If the yellow/green/red terrain is already turning while the cyan/blue/maroon carpet is still flat, you're early — the whale hasn't confirmed yet, but it's forming.
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Disclaimer
This indicator is a visualization and analytical tool. It is not financial advice, a trade recommendation, or a signal service.
The whale emojis, forecast terrain, and slope extrapolations are mathematical projections from past data. They describe what has been and what linear decay would suggest next — not what markets will actually do. Markets are non-linear and reflexive; forecasts can and will be wrong.
No indicator eliminates risk. Confluence signals reduce noise, they do not guarantee outcomes. Every trade can lose.
Past performance — of this tool, or of any setup you build with it — does not predict future results.
Use with your own risk management (position sizing, stop placement, portfolio exposure). The indicator has no awareness of your account, your instruments, or your time horizon.
Do your own research. Consider speaking to a licensed financial professional before making investment decisions, especially on leveraged or derivative instruments.
By using this indicator you accept that all trading decisions and their consequences are your own. The author assumes no liability for losses incurred through use of this tool.
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The art of swimming with the whales.
— TechnicalZen
Indicator
Judas Swing Detector [AGPro Series]Judas Swing Detector
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OVERVIEW
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The Judas Swing is a well-known intraday pattern in ICT (Inner Circle Trader)
methodology describing how price often makes a deceptive initial move at the
London or New York session open — pulling in participants in one direction —
before reversing to reveal the session's true directional bias.
Judas Swing Detector systematically identifies, visualizes, and tracks this
pattern across every London and New York session open. It shades the trap
zone, flags the reversal bar, highlights the true-direction bias, and maintains
a rolling 20-session performance log so users can assess how consistently the
pattern resolves on their chosen symbol and timeframe.
IMPORTANT — Timeframe requirement: This indicator is designed for intraday
charts of 1 hour or lower (1m, 5m, 15m, 30m, 1h). Session windows anchor the
entire logic, and a 1-hour Judas window cannot be resolved on 4-hour or higher
charts. The panel always shows an "Optimal TF: 1m - 1h" footer, and the TF
status row turns yellow with "use <=1h" if the current chart exceeds this
range.
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UNIQUE EDGE
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Unlike generic session-open or breakout indicators, Judas Swing Detector is
built around a defined four-state lifecycle (Pending → Active → Forming →
Confirmed / Failed) with ATR-normalized thresholds, so detection remains
stable across different volatility regimes and asset classes.
Three design choices make it distinct:
1. Independent two-way extremum tracking inside the Judas window — both the
maximum upward and maximum downward excursion are recorded, and the larger
of the two is declared the fake move when the window closes. This removes
ambiguity in choppy openings.
2. Separate fake-move and reversal thresholds. The initial push must exceed
a minimum ATR-scaled size to qualify, and the reversal must travel a second
ATR-scaled distance beyond the session open — filtering out shallow round
trips that would otherwise inflate the signal count.
3. Rolling 20-session statistics panel reporting success rate, average fake
distance, and directional bias, giving discretionary traders an objective
view of how the pattern is behaving on their instrument before they act on
it.
4. Support/resistance-style invalidation zone drawn at the fake-move extremum
after confirmation. This gives a clear visual anchor: if price later
re-enters this zone from the opposite side during the session, the Judas
read is considered broken. The zone is a reference, not an automatic
signal.
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METHODOLOGY
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Step 1 — Session anchoring
At the first bar of the configured London or New York window the script
records the session open price, resets the two-way extremum trackers, and
transitions to the Active state.
Step 2 — Fake-move accumulation
During the window the script tracks both the maximum high and minimum low
relative to the session open. Neither is committed as the fake move until the
window closes.
Step 3 — Window-close evaluation
When the window ends the larger excursion (up vs down) becomes the fake
direction. If its size reaches the user-defined ATR multiple it qualifies and
the script transitions to the Forming state; otherwise it resets to idle.
Step 4 — Reversal confirmation
In the Forming state the script waits for price to cross the session open in
the opposite direction of the fake move and travel at least the configured
ATR-scaled distance beyond it. When that happens the swing is Confirmed and
the true direction is drawn on the chart. If the reversal window expires
without confirmation the swing is recorded as Failed.
Step 5 — History log
Every confirmed and failed outcome is appended to a rolling 20-session log
used by the statistics panel.
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SIGNALS & ALERTS
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On-chart visuals:
• Dashed vertical line at session start (accent color)
• "LON" or "NY" label at the session anchor bar (Balanced / Detailed only)
• Shaded fake-move box from session open to fake extremum, colored opposite
to the true direction (a bearish trap is shaded in the bear tone because
the true direction is down — and vice versa)
• Optional "Fake" distance label at the extremum (Detailed density only)
• Reversal marker "X UP" or "X DOWN" at the confirmation bar, offset
from the candles for readability
• Horizontal support/resistance-style invalidation zone around the fake
extremum, extending 40 bars to the right — a visual reference for where
the Judas read would break down if price re-enters the zone
Alert conditions (toggle individually in settings):
• Judas Swing Forming — fake move has qualified, waiting for reversal
• Judas Swing Confirmed — reversal threshold crossed, true direction known
• Judas Swing Failed — reversal window expired without confirmation
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KEY INPUTS
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Session Windows
• Track London Open — toggle London session monitoring
• London Judas Window (NY time) — session string, default 0200-0300
• Track New York Open — toggle NY session monitoring
• NY Judas Window (NY time) — session string, default 0930-1030
• Session Timezone — timezone used to interpret the windows
• Reversal Window (minutes) — maximum time after window close in which a
valid reversal can still be recorded
Detection Logic
• Min Fake-Move Size (ATR mult) — minimum excursion required to qualify
• Reversal Confirmation (ATR mult) — distance beyond session open needed
to confirm the reversal
• ATR Length — lookback for threshold scaling
Visuals
• Show Session Start Line, Show Fake-Move Zone, Show Reversal Marker,
Show Invalidation Zone — individual visual toggles
• Label Density — Minimal / Balanced / Detailed
• Font Size — tiny / small / normal / large (applies to labels and panel)
• Theme — Dark / Light (panel only, chart candles unaffected)
Panel
• Show Info Panel — master toggle
• Panel Location — 6 chart positions
• Always displays: current session, state, true direction, fake distance,
rolling 20-session statistics (success rate, avg distance, bull/bear
bias), current TF status, and a footer reminding the optimal timeframe
range
Alerts — three individual toggles (Forming / Confirmed / Failed)
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HOW TO USE
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Supported timeframes: 1m, 5m, 15m, 30m, 1h. These resolve a session's early
structure cleanly while keeping enough bars inside each Judas window for the
extremum tracker to work with. Recommended default: 15m or 1h.
Not supported: 4h, 1D, 1W. On these timeframes a single bar exceeds the
session window, so nothing is detected. The panel will show a yellow "use
<=1h" hint if you accidentally switch to one of these.
Recommended instruments: FX majors (EURUSD, GBPUSD, USDJPY), index futures
(NQ, ES), liquid crypto (BTC, ETH). The ATR-normalized thresholds keep the
logic portable across these asset classes.
Workflow suggestion:
1. Apply the indicator and let it observe several sessions so the panel
populates a meaningful sample.
2. Review the 20-session success rate on your specific symbol and timeframe.
This is not a forecast — it is a descriptive statistic of how the pattern
has resolved in recent history on that chart.
3. Use the Forming alert as a heads-up, and the Confirmed alert as the main
event. The true-direction arrow marks the bias of the remaining session,
not a trade entry or exit.
4. Combine with your own structural context — higher timeframe bias, key
levels, liquidity pools — before acting on any signal.
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LIMITATIONS & TRANSPARENCY
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• Not a strategy. This is a discretionary analysis tool; it neither places
orders nor implies any specific trade setup.
• Intraday timeframes only. The logic requires 1h or lower charts to resolve
the session windows. On 4h, 1D or higher the indicator will not detect
anything and the panel will show a "use <=1h" notice.
• No forecasting. Displayed statistics describe past behavior on the current
chart only and do not imply future performance.
• Pattern-dependent. When price opens and trends cleanly in one direction
without a fake move, the pattern legitimately will not trigger. Low
signal count on such sessions is expected behavior, not a malfunction.
• Session boundary sensitivity. Results depend on the configured session
windows and timezone. Outside the major FX and equities session hours the
ICT framing may not translate cleanly.
• Extreme-volatility sessions. During very large gaps or news spikes the ATR
thresholds can be dominated by a single bar; users should review the
defaults in those conditions.
• Symbol coverage. Pip conversion handles forex and JPY pairs explicitly and
falls back to tick-based sizing for other asset types. Values are intended
as relative magnitudes, not broker-specific pip quotes.
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RISK DISCLOSURE
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This indicator is provided for educational and analytical purposes only. It
does not constitute financial advice, a recommendation, or a solicitation to
buy or sell any instrument. Trading involves substantial risk of loss; past
pattern behavior is not indicative of future results. Users are responsible
for their own trading decisions and for verifying that any signal aligns with
their own methodology and risk management.
The source code is published under the Mozilla Public License 2.0. Feedback
and constructive suggestions are welcome. Indicator
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. Indicator
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 PulseWire
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 PulseWire 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 PulseWire via the Open-Source badge. You are free to study and modify
the code subject to the terms of the license. Indicator
Price Action Scan: Pulse, Rhythm & Drift [TechnicalZen]Visualize the nested cycles of impulse, swing and trend as professionals see them.
Every chart has three stories running at the same time. You just have to know where to listen.
There's the impulse — the fast, nervous heartbeat of bar-to-bar action. Is this candle a fake-out, or the start of something? There's the swing — the slower rhythm of regimes, the tide that carries a cluster of candles in one direction before it turns. And beneath both, there's the trend — the deep current that doesn't care what the last five bars did, the one that's still pointing north while everything on the surface looks like it's falling apart.
Most indicators hear one of these and talk over the other two. This one tries to listen to all three — separately, at their own natural pace — and show you where they agree and where they don't.
What it actually does on your chart:
Impulse layer — Eight analytical schools (OBV Flow, RSI Zones, Wyckoff, Amplitude, VWMA Delta, Kalman Filter, Naive Bayes, Confluence) each watch the tape through a different lens. When two or more vote the same direction within a few bars, a signal fires with auto-drawn SL and TP zones. Quick, frequent, surgical.
Swing layer — An adaptive trend engine (Adaptive Pivots) tracks regime shifts independently. It sits quiet during trends and flips when the character of the move breaks down — drawing its own SL/TP zones in light yellow so you never confuse them with the council's. Slower, fewer signals, bigger picture.
Trend layer — An exponential VWAP (EVWAP) drifts underneath everything, marking the deep structural direction with quiet yellow arrows when it finally turns. Slowest of the three. The gravity that the other two orbit around.
Every school's accuracy is tracked live on your chart — not backtested on some ideal instrument, but measured in real time on yours , using Maximum Favorable Excursion over a 12-bar window. A dashboard shows each school's vote, its recent history, and its running hit-rate. You'll know within days which schools are earning their place on your symbol and which ones are just noise.
The real edge isn't any single layer — it's watching all three breathe together. A council impulse signal during a clean adaptive trend in the direction of the EVWAP drift is a very different animal from the same signal fighting the other two. The indicator doesn't force that observation on you. It just gives you the pieces. You'll start seeing the pattern yourself.
———
Builds on TrueMove: Council of 7 Schools — the original council, its voting engine, its dashboard, its VWAP structure — all unchanged and fully intact. What's new are two additions :
———
Addition 1 — An eighth school: RSI Zones
The council is now a vote of eight, not seven. The new voter is a classical RSI zone school with a directional bias — it casts a bullish or bearish vote when price closes inside a configurable zone and the move has momentum behind it. The idea was to give the council a "pure price memory" voice, since the other seven schools lean heavily on volume, structure, or learned features. RSI Zones balances the ensemble a little, and earns or loses its place on your instrument the same way every other school does — through its own running hit-rate in the dashboard.
You can turn it off in settings if you prefer the council at seven.
———
Addition 2 — A ninth school that doesn't vote: Adaptive Pivots
This is the bigger change, and the one that changes how the chart feels .
Adaptive Pivots is an adaptive SuperTrend overlay that runs completely independently of the eight council schools — its own ATR, its own Efficiency Ratio, its own quality index, its own state machine. It doesn't contribute to the council vote and the council doesn't feed into it. They simply share the chart.
It earns the name "school" only because it keeps its own running hit-rate and gets a row of its own in the dashboard — a yellow-highlighted row so you can see at a glance that it lives slightly outside the council. When the adaptive trend flips, you see:
a small yellow-ringed triangle at the flip point
a continuous green or red line showing the current regime
three stacked take-profit zones and a stop-loss zone, framed in light yellow dotted outlines so they're visibly distinct from the council's own risk visuals
Under the hood it's an adaptive SuperTrend whose band widths are modulated by a four-factor Trend Quality Index — a composite that blends directional efficiency, volume regime, structural position within range, and momentum persistence. The bands tighten asymmetrically on the active side of the trend and widen on the passive side, so the ratchet locks tight when quality is high and loosens gracefully when quality degrades. A character-flip mechanism catches regime collapse before price has to break the band, which is what gives it its earlier reaction on quality-driven reversals.
———
A small thing that might happen once you have it running
The council fires often — that's its job. The RSI zone school will vote, the Naive Bayes will vote, the Confluence will catch agreements, and labels will come and go on the chart like a heartbeat.
The adaptive line, on the other hand, sits quiet for long stretches and then flips.
And somewhere in the background, the same EVWAP line from the original is drifting along at its own slow pace, occasionally marking its own direction change with a quiet yellow-circled arrow.
Leave the chart open for a while and you'll start noticing something — the three tempos drift in and out of agreement. A council signal during a clean adaptive trend feels different from a council signal against the adaptive trend. An adaptive flip while EVWAP is still drifting the other way feels different from a flip that agrees with EVWAP. None of this is enforced by the script; it just happens, because the three things are measuring genuinely different properties of the same price series.
I don't want to over-describe it. It's the kind of thing you notice rather than read about, and I'd rather you notice it on your own instrument than take my word for how it behaves on mine.
———
Dashboard and transparency
The top-right panel is still there and still shows every school individually — current vote, recent vote history, running hit-rate tracked by Maximum Favorable Excursion over a 12-bar window. The new Adaptive Pivots row sits just below the eight council schools, highlighted in yellow so it's clear it's scored independently. The council accuracy, signal counts, Naive Bayes learning status, and volatility regime readouts are all unchanged from the 7 Schools version.
All nine schools can be toggled individually. The adaptive layer's ATR length, pivot length, quality influence, and character-flip sensitivity are all exposed in settings. Everything else uses well-tested defaults.
———
How to get something out of it
The honest advice is the same advice I'd give for the original: don't act on it for a while. Put it on a chart you already trade, in replay or live, and watch. See when the council and Adaptive Pivots agree. See when they don't. Notice which of the nine schools is earning its keep on your symbol and which ones are drifting. The dashboard is telling you the truth about your instrument, not about mine.
If you find a setting that works better for you than the defaults, keep it. If you find one that doesn't work at all, let me know — it's the kind of feedback I genuinely use.
———
Disclaimer
This indicator is a decision-support and analytical tool. It is not financial advice, a trading signal service, or a recommendation to buy or sell any instrument. The hit-rate figures displayed in the dashboard are measured from historical bars on your chart using Maximum Favorable Excursion over a fixed 12-bar window — they are a diagnostic of how each school has behaved on that specific chart up to the current bar , not a predictor of future performance, and not a claim of profitability. Past behavior of any indicator, including this one, does not guarantee or imply future results.
Markets involve substantial risk of loss. Any decision to act on information derived from this script is entirely your own. You are responsible for your own position sizing, risk management, and trade execution. The author accepts no liability for any loss, direct or indirect, arising from the use of this script.
Use it as a lens for reading charts, not as a crystal ball. Always trade within your own risk tolerance and regulatory environment.
Indicator
AG Pro ICT Confluence Score Dashboard [AGPro Series]AG Pro ICT Confluence Score Dashboard
Overview / What it does
AG Pro ICT Confluence Score Dashboard is a panel-first decision support tool built to evaluate whether multiple ICT-style conditions are aligning at the same time. Instead of focusing on a single event in isolation, the script converts several contextual factors into a structured confluence model so traders can quickly assess whether the current environment is weak, building, or high-conviction.
The dashboard tracks a stack of evidence that includes sweep activity, imbalance interaction, block retests, structure shifts, premium/discount location, trap context, session context, higher-timeframe alignment, freshness, and conflict. Those components are summarized into core and effective scores, then translated into a clean bias/state panel. An optional chart layer can display signal tags and a lightweight halo only when stronger threshold conditions are met.
This script is designed for traders who prefer structured context over isolated triggers. It does not attempt to replace discretion, and it is not presented as a one-click signal engine. Its purpose is to help users evaluate whether multiple factors are working together in the same direction, or whether the current picture is mixed and should be treated more cautiously.
What makes the script practical is that it reduces chart-reading friction. A trader can still inspect sweeps, gaps, blocks, structure, and location manually, but the dashboard helps organize that information into a readable hierarchy. This makes it easier to separate random activity from environments where several pieces of evidence are beginning to align.
Unique Edge
The distinctive feature of this script is not that it detects one ICT concept better than every other tool. Its edge comes from treating multiple ICT-style events as parts of a single evidence framework. The dashboard does not simply list conditions; it scores them, weighs context, and highlights whether the active side remains clean or is facing meaningful opposition.
That means the script is less about finding a single pattern and more about measuring alignment quality. A sweep without supportive structure is different from a sweep followed by structure, location support, and a fresh contextual trigger. A gap touch inside a neutral area is different from a gap touch that appears inside a stronger directional stack. By organizing these relationships into a dashboard, the script gives the user a more structured read on what is happening now.
This also separates it from single-purpose tools. AG Pro ICT Confluence Score Dashboard is not a standalone liquidity sweep script, not a standalone FVG script, not a standalone order block script, and not a standalone session indicator. It is a meta-layer built to evaluate whether several pieces of market evidence are converging into a more coherent setup environment.
Methodology
The model begins with a set of factor states derived from recent chart structure. Confirmed pivot swings are used to define recent highs and lows. From there, the engine evaluates conditions such as sweep events, structure breaks, imbalance zones, block interaction, premium/discount location, and trap-style sequences. Each factor can become active for a limited validity window instead of remaining relevant indefinitely.
The script then builds a core score for bullish and bearish context separately. Session logic can add a directional bonus when the active side is aligned with the configured session window. After that, contextual adjustments are applied through higher-timeframe alignment, freshness, and conflict logic. This produces an effective score that attempts to reflect not only how many factors are present, but whether they are present in a cleaner and more supportive sequence.
The dashboard then translates that information into a readable structure: Bull/Bear core values, effective score, net bias, score bar, conflict read, Why Now summary, Sequence summary, and factor-by-factor status rows. The idea is to help the user see both the headline state and the underlying reasons behind it.
Signals & Alerts
The optional chart signals are intentionally restrained. They are meant to mark stronger score states rather than call every minor condition. Signal tags can appear when the configured score threshold is reached, and the visual layer can be limited so the chart stays readable.
Available alert logic is based on state transitions rather than promotional claims. The script can notify when bullish or bearish confluence crosses the configured threshold, when high confluence is entered, and when that state is lost. This keeps the alert structure deterministic and easier to interpret in a workflow.
Key Inputs
Swing Length controls the pivot sensitivity used by the structure engine.
Factor Validity Window defines how long a detected event can continue to contribute to the stack.
Trap Confirmation Window controls how tightly sweep and structure events must cluster to qualify as trap context.
Freshness Window helps determine whether the active side is still recent enough to deserve extra weight.
Conflict Penalty Threshold defines when opposing evidence becomes meaningful enough to reduce the active side.
Alert Threshold sets the effective score level required for stronger signal conditions.
HTF Timeframe and HTF EMA Length define the higher-timeframe directional filter.
Session controls allow users to enable or disable London, New York, and Asia windows.
Dashboard and visual controls manage panel position, theme, text size, signal tags, and halo behavior.
Limitations & Transparency
This script is a context model, not a prediction model. A high score does not guarantee continuation or reversal, and a low score does not mean price cannot move aggressively. The dashboard only summarizes the relationship between the conditions it measures.
Some components rely on confirmed pivot logic. Because pivot confirmation needs bars on both sides, certain structure-related states become available only after that confirmation exists. This is a design choice intended to keep the model structured, but it also means some events are inherently delayed relative to raw price movement.
The script is also selective by design. It does not attempt to represent every possible ICT interpretation, and it does not replace chart reading, risk control, or execution planning. Users should treat it as a decision-support framework that helps organize evidence, not as a substitute for a full trading process.
Risk Disclosure
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. Trading involves risk, and users should rely on their own analysis, risk management, and judgment before making decisions. Indicator
AG Pro BOS & CHoCH Auto Detector [AGPro Series]AG Pro BOS & CHoCH Auto Detector
OVERVIEW / WHAT IT DOES
AG Pro BOS & CHoCH Auto Detector is a market structure overlay designed to organize swing-based price action into a more readable workflow. Instead of leaving the chart covered with disconnected pivot labels or generic break markers, this script tracks structural swing progression, identifies when prior highs or lows are broken, and classifies those breaks as either BOS (Break of Structure) or CHoCH (Change of Character). The goal is not to predict the next move, but to help traders read whether price is continuing an existing structure or beginning to challenge it.
The script monitors HH, HL, LH, and LL development using pivot logic, then uses those reference points to detect structural breaks. A break in the direction of the active structure is treated as BOS, while the first meaningful break against the prior directional structure is treated as CHoCH. This distinction matters because many charts show every break in the same visual language, even though continuation and character shift do not carry the same analytical meaning. Here, those events are separated clearly.
A second layer of usefulness comes from presentation discipline. This script is built to keep structural information visible without turning the chart into a wall of labels. Swing density can be reduced, major structures can be emphasized, and the higher timeframe overlay can remain active in the background to keep local execution aligned with broader structure. The result is a structure map that stays informative without becoming visually noisy.
This tool is intended for traders who already use price structure as part of their chart reading and want a cleaner way to monitor continuation versus transition. It can support discretionary workflows around trend continuation, pullback analysis, structure failure, and higher timeframe context, while still remaining transparent about how its signals are formed.
UNIQUE EDGE
Many market structure tools stop at plotting swing points or printing BOS / CHoCH text when a level is crossed. AG Pro BOS & CHoCH Auto Detector is built around a more organized structure engine approach.
Its edge is not based on trying to forecast direction or force trade entries. Its edge is based on classification, hierarchy, and chart readability:
- It separates continuation breaks from character-change breaks instead of treating all structural violations as equivalent.
- It preserves the swing chain context behind each event, so BOS and CHoCH are not isolated labels detached from surrounding structure.
- It allows confirmation mode selection, so the user can decide whether structure breaks require close confirmation or can react to intrabar violations.
- It includes higher timeframe structure context directly on the chart rather than forcing the user to reconstruct that context manually.
- It includes swing-density controls so the visual output can be kept clean even when structure is active.
This makes the script less like a simple labeling utility and more like a workflow layer for structure-based chart reading.
METHODOLOGY
1) Swing Structure Detection
The script uses pivot-based highs and lows to identify structural reference points. Those pivots are then classified into HH, HL, LH, and LL sequences, allowing the chart to reflect whether structure is strengthening, weakening, or transitioning.
2) BOS Logic
When price breaks a prior structural level in the direction of the active trend, the event is labeled as BOS. In practical terms, this represents structural continuation rather than directional reversal.
3) CHoCH Logic
When price breaks against the previously established directional structure, the event is labeled as CHoCH. This is treated as a possible character shift, not as a guaranteed reversal. It highlights that the prior structure has been challenged.
4) Confirmation Mode
Users can choose whether structure breaks are confirmed by candle close or by intrabar price action. Close mode is more conservative and can reduce noise. Intrabar mode is more responsive and may show earlier breaks.
5) Higher Timeframe Overlay
An optional MTF layer allows the script to bring higher timeframe structure context onto the active chart. This can help users avoid reading local swings in isolation when broader structure is still dominant.
6) Visual Hierarchy
The script uses horizontal structure levels, event labels, optional arrows, controlled swing density, and a compact information panel to keep key structure events readable. The design priority is to preserve analytical clarity.
SIGNALS & ALERTS
This script can generate structure-based alerts for the following event types:
- Bullish BOS
- Bearish BOS
- Bullish CHoCH
- Bearish CHoCH
- Any structure break
These alerts are event-driven and tied to the script's structural logic. They are intended to notify the user when a relevant break occurs according to the selected confirmation mode. They are not trade instructions and should be interpreted within the user's broader process.
KEY INPUTS
Swing Pivot Length
Controls pivot sensitivity. Lower values detect swings faster but may produce more noise. Higher values are more selective.
Confirmation Mode
Choose between Close and Intrabar logic for structure break confirmation.
Max Structures to Show
Limits how many structural events remain plotted on the chart.
Swing Label Density
Lets users choose between fuller swing annotation and a cleaner major-structure view.
Max Swing Labels on Chart
Helps prevent excessive label build-up in active market conditions.
Enable MTF Overlay
Adds higher timeframe structure context to the active chart.
MTF Timeframe
Defines which higher timeframe structure layer is projected onto the chart.
Label Size / Panel Font Size / Line Settings
Allow visual tuning without changing structural logic.
LIMITATIONS & TRANSPARENCY
This script uses pivot-based structure logic. That means swing points are confirmed only after the required pivot bars are completed. Because of this, the tool is confirmation-based by design and does not attempt to label unfinished pivots as confirmed structure.
BOS and CHoCH are structural events, not certainty statements. A CHoCH may signal that the prior directional structure is being challenged, but it does not guarantee a lasting reversal. Likewise, a BOS indicates continuation within the script's structural framework, but not guaranteed follow-through.
The higher timeframe overlay is designed to add context, not to replace direct higher timeframe chart review. Users should still interpret local and higher timeframe structure together rather than relying on a single signal state.
This script is best used as a structure-mapping tool within a broader analytical framework. It is not a standalone trading system, not a predictor, and not a substitute for risk management.
RISK DISCLOSURE
This indicator is for chart analysis and educational use. It does not provide financial advice, does not guarantee outcomes, and should not be treated as a complete trading methodology on its own. Market structure tools can help organize price action, but all trading decisions remain the responsibility of the user.
Indicator
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.
Indicator
AG Pro Fair Value Gap Engine [AGPro Series]AG Pro Fair Value Gap Engine
OVERVIEW / WHAT IT DOES
AG Pro Fair Value Gap Engine is a rules-based overlay built to detect 3-bar fair value gap structures and organize them as a living imbalance map on the chart.
The script identifies bullish fair value gaps when the current low is above the high from two bars earlier, and bearish fair value gaps when the current high is below the low from two bars earlier. Once detected, each zone is stored, rendered, tracked through time, and updated as price interacts with it.
Instead of stopping at basic FVG detection, this script continues to follow the structure after creation. It monitors whether the gap remains active, whether price returns into it, whether mitigation occurs, how old the structure has become, and how strong or weak that mitigation event appears relative to the gap itself.
The result is not just a visual list of imbalances. It is an FVG lifecycle model designed to help traders distinguish between fresh gaps, aging gaps, mitigated gaps, and higher-quality mitigation events.
UNIQUE EDGE
Many fair value gap tools simply highlight every detected gap and leave the user to interpret the rest.
This script is built around a different idea:
not all FVGs deserve the same attention, and not every mitigation event carries the same informational value.
AG Pro Fair Value Gap Engine separates itself by combining detection, aging, prioritization, mitigation tracking, and scoring in a single structured workflow. Gaps are not treated as static rectangles. They are treated as evolving chart objects with a lifecycle.
Within the AG Pro Series, this script is also distinct from breakout-quality, reclaim, rotation, pressure, or acceptance-style overlays. Those models focus on trend behavior, reclaim behavior, structural confirmation, momentum pressure, or price acceptance around a reference. This one is centered on imbalance structure itself: where the 3-bar gap formed, how long it stayed relevant, whether price returned, and how credible that mitigation looked once interaction happened.
In practical terms, the script is designed to answer questions such as:
Which FVGs are still active?
Which ones are becoming stale?
Which mitigation events happened with better quality?
Which visible zones are worth keeping in focus, and which are just legacy context?
That is the core difference. This is not a generic FVG highlighter. It is an imbalance-ranking and mitigation-quality engine.
METHODOLOGY
1) Detection Logic
The script scans for standard 3-bar fair value gap structures.
Bullish FVG:
current low > high from two bars back
Bearish FVG:
current high < low from two bars back
A minimum size filter relative to ATR is applied so that very small gaps can be ignored when desired.
2) Structure Tracking
After detection, each FVG is stored and tracked over time. The script keeps the zone on the chart, extends active zones forward when enabled, and updates their visual state as the market evolves.
This allows the chart to preserve the structural memory of imbalance zones instead of treating every new gap as an isolated event.
3) Aging and Visual Decay
Older gaps gradually lose visual priority through fade logic. This helps newer or more relevant structures stay readable while old zones move into the background.
Optional controls can also suppress distant legacy zones when they become both old and far from current price.
4) Mitigation Logic
The script monitors how deeply price returns into each gap. When the user-defined mitigation threshold is reached, the FVG is marked as mitigated.
Mitigated zones can remain visible as context or be hidden for a cleaner chart, depending on preference.
5) Quality Scoring
Mitigation is not treated as a simple yes/no event. The script evaluates mitigation quality using a weighted model that includes:
- Gap size relative to ATR
- Speed of return into the zone
- Relative volume during the mitigation event
- Return strength after contact with the gap
This produces a normalized score intended to help separate weaker fills from stronger, better-formed mitigation behavior.
6) Focus and Prioritization
To reduce chart noise, the script includes focused labeling, active-zone prioritization, top-zone filtering, and legacy suppression logic.
This means the visual output can be tuned away from “show everything” and toward “show what matters most.”
SIGNALS & ALERTS
This script provides alert conditions for:
- Newly detected bullish fair value gaps
- Newly detected bearish fair value gaps
- Bullish fair value gaps reaching mitigation
- Bearish fair value gaps reaching mitigation
These alerts are event-based and rules-based. They are not forecasts, predictions, or trade instructions.
The labels and panel are designed to summarize state, not to replace the user’s broader market process.
KEY INPUTS
Core Settings
- Minimum FVG Size (ATR)
- Mitigation Threshold (%)
- Maximum Tracked FVG Count
- Age Fade Length
- Extend Active FVG Boxes
Scoring Engine
- Speed Score Reference
- Volume Score SMA Length
- Volume Score Max Ratio
- Size Score Max ATR
Visual Settings
- Show FVG Labels
- Focused Label Mode
- Focused Label Minimum Score
- Active / Mitigated Label Age Limits
- Highlight Score Threshold
- Theme Preset
- Show Mitigated Zones
- Show Mitigated Zone Labels
- Label Horizontal Offset
- Hide Distant Legacy FVGs
- Legacy Hide Age
- Legacy Hide Distance
- Show Only Top Active Zones
- Top Active Zones Count
- Label Stack Spacing
Panel Settings
- Show Panel
- Panel Position
- Panel Font Size
These controls allow the same logic to be used in a more information-dense mode or in a much cleaner presentation mode, depending on the charting style of the user.
LIMITATIONS & TRANSPARENCY
This script detects and organizes 3-bar imbalance structures. It does not claim to identify every meaningful liquidity event, order-flow shift, or broader smart money context factor on its own.
A fair value gap can remain open for a long time, fail quickly, or be revisited multiple times. A high score does not guarantee a directional outcome. A low score does not automatically invalidate the zone as context.
The mitigation score is a structured ranking model, not an objective truth about future price behavior. It is designed to help compare events inside the framework of this script.
Because chart structure, volatility, timeframe, and instrument behavior vary, users should expect different FVG densities and different score distributions across markets.
This tool is best used as a market-organization layer for imbalance analysis, not as a standalone execution system.
RISK DISCLOSURE
AG Pro Fair Value Gap Engine is an analytical charting tool for educational and informational use.
It does not provide financial advice, does not promise outcomes, and should not be interpreted as a standalone buy or sell system. Fair value gaps, mitigation events, and score readings should be evaluated together with market structure, volatility, timeframe context, liquidity conditions, and the user’s own risk framework.
Trading involves risk. Past chart behavior does not guarantee future results.
Indicator
AG Pro Liquidity Sweep Quality [AGPro Series]AG Pro Liquidity Sweep Quality
OVERVIEW / WHAT IT DOES
AG Pro Liquidity Sweep Quality is a pivot-based overlay designed to map bullish and bearish liquidity sweep events around confirmed swing highs and swing lows. Instead of only flagging whether price traded beyond a prior level, the script evaluates whether that move behaved like a meaningful rejection or a weak sweep. The result is a structured liquidity sweep indicator that focuses on sweep quality, not only sweep detection.
In practical terms, the script looks for price moving above a prior swing high or below a prior swing low and then closing back through that level on the same bar or, if enabled, on the next bar. This behavior is commonly associated with stop hunts, failed breakout attempts, failed breakdown attempts, and short-term rejection events around visible liquidity. The script then ranks the event using a multi-factor quality model so the chart does not treat every sweep as equally important.
This makes the tool relevant for traders studying liquidity sweep behavior, smart money concepts, ICT-style chart reading, rejection anatomy, wick-driven reversals, sweep confirmation, and swing-based context. It is not built to predict direction on its own. It is built to organize sweep events so users can distinguish weaker noise from stronger rejection structures.
UNIQUE EDGE
The main objective of this script is not to publish another generic liquidity grab marker. Its edge comes from the fact that it scores each confirmed sweep using a quality framework. That framework combines how deeply price traded through the level, how decisively it closed back beyond the level, the wick-to-body relationship of the sweep bar, relative volume behavior, swing freshness, nearby swing crowding, and optional higher-timeframe bias alignment.
This matters because many sweep-style tools stop at a binary answer:
sweep happened / sweep did not happen.
This script asks a more useful follow-up question:
how good was that sweep?
That distinction is important on real charts. Some liquidity sweeps show strong rejection, clean close-back behavior, fresh structure, and supportive context. Others are simply noisy level violations inside a crowded area. By assigning a quality score, the script is designed to help users compare sweep events with more nuance.
Another distinguishing feature is that the script separates watch conditions from qualified conditions. A level can first be challenged, then either reclaim cleanly or fail to reclaim. This helps reduce the tendency to treat every level breach as a reversal event.
METHODOLOGY
1) SWING DETECTION
The script uses confirmed pivot highs and confirmed pivot lows as its structural reference points. These pivots are not assumed in advance. They become available only after the user-defined Pivot Strength confirmation process is complete.
2) SWEEP TRIGGER
A bearish sweep scenario begins when price trades above a stored swing high.
A bullish sweep scenario begins when price trades below a stored swing low.
3) QUALIFICATION
A sweep is considered qualified when price closes back through the swept level. By default, the script can evaluate same-bar reclaim behavior and, optionally, next-bar reclaim behavior.
4) QUALITY MODEL
Each qualified sweep is scored using multiple factors, including:
- penetration relative to ATR
- rejection distance back through the level
- wick-to-body ratio
- relative volume versus a recent baseline
- freshness of the swing level
- nearby level crowding penalty
- optional higher-timeframe trend alignment bonus
The final output is normalized into a simple 1 to 10 quality score so chart reading remains fast and visually clean.
5) VISUAL MAPPING
Qualified sweeps can display:
- direction label
- quality score label
- sweep zone box
- dashed memory line at the swept level
- optional chart background tint
- compact minor markers for lower-priority qualified sweeps
This allows the chart to remain informative without forcing every event to carry the same visual weight.
SIGNALS & ALERTS
The script includes deterministic alert conditions for:
- Bull Sweep Trigger
- Bear Sweep Trigger
- Bull Sweep Qualified
- Bear Sweep Qualified
- High Quality Bull Sweep
- High Quality Bear Sweep
A trigger means price challenged the stored liquidity level.
A qualified sweep means price also reclaimed the level according to the script rules.
A high-quality sweep means the final score exceeded the selected threshold.
These states are intended to help users organize workflow and review price behavior. They are not instructions to buy or sell.
KEY INPUTS
Pivot Strength
Controls how swings are confirmed. Higher values generally reduce noise but also make structural detection slower and more selective.
Max Swing Age
Limits how long old swing levels remain eligible. This helps keep the liquidity map focused on fresher structure.
Allow Next-Bar Reclaim
Allows the script to qualify a sweep when the reclaim happens on the next bar instead of only the sweep bar itself.
ATR Length
Used in the quality engine to normalize sweep depth and rejection distance.
Relative Volume Length
Defines the baseline used for volume comparison.
Crowding Width (ATR)
Helps penalize sweeps occurring in dense structural clusters, where nearby levels can reduce interpretive clarity.
Higher Timeframe and HTF EMA Length
Used to build an optional bias filter so aligned sweeps can receive a context bonus.
Min Score For Full Labels
Lets users keep high-information labels on stronger sweeps while weaker qualified sweeps can remain as compact markers.
Same-Side Full Label Cooldown
Reduces repeated full labels in the same direction over a short span, improving chart readability.
LIMITATIONS & TRANSPARENCY
This script is a chart-organization tool, not a stand-alone decision engine.
Because the logic is pivot-based, swing levels are only confirmed after the chosen Pivot Strength delay. That means the structural reference points are confirmed swings, not instantly-known highs or lows.
A liquidity sweep on one market, timeframe, or volatility regime may not behave the same way on another. The scoring framework is designed to rank events relative to the script's own rules, not to certify that a sweep will lead to reversal or continuation.
Higher relative volume may improve context, but volume confirmation does not guarantee outcome quality.
The higher-timeframe alignment feature is a contextual filter. It should not be interpreted as a macro trend forecast.
Like any visual overlay, this tool can produce signals in choppy or highly reactive conditions that later prove less useful than they first appeared. Parameter selection matters.
WHAT THIS SCRIPT IS NOT
This script is not a promise of reversal.
It is not a complete smart money framework.
It is not a substitute for execution planning, risk management, or broader market context.
It does not claim to detect institutional intent.
It does not classify every level break as tradable.
Instead, it focuses on one specific chart behavior:
sweep-and-reclaim quality around confirmed swing liquidity.
RISK DISCLOSURE
This indicator is for analytical and educational use only. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend aggressively, or ignore local sweep signals for extended periods. Users should validate any chart workflow with their own process, risk controls, and market understanding before acting on any signal or alert.
If you use this tool, it is generally best treated as a structural filter inside a broader workflow rather than as a stand-alone trigger.
AGPro Series note:
This publication is designed to emphasize structured chart reading, deterministic event definitions, and transparent methodology over promotional claims or outcome promises.
Indicator
TrueMove: Council of 7 Schools [TechnicalZen]A Decision Support System for Risk Management.
Imagine seven analysts — each a specialist in a different discipline — studying the same price chart simultaneously. One reads volume flow. Another scores multi-factor confluence. A third measures Wyckoff effort dynamics. A fourth compares wave speed and amplitude. A fifth tracks volume-weighted momentum. A sixth applies adaptive Kalman filtering. A seventh learns patterns from the instrument's own history using machine learning. Each arrives at their own independent conclusion. Then they vote.
This is what this indicator does. Seven academically grounded analytical Schools, each examining price action through a fundamentally different lens, casting independent votes on market direction. The result is not a prediction — it is a decision support system designed to help traders manage risk with confidence.
The core question it answers: "Is this move real, or is it a trap?"
When the council reaches consensus, you trade with conviction. When it doesn't, you wait. The strength of this system is not in any single School — it is in the convergence of independent perspectives. A move confirmed by volume flow, momentum, wave dynamics, and machine learning simultaneously carries fundamentally different weight than a move flagged by one method alone.
This is risk management through structured consensus. Not a black box. Not a single signal line. A council of seven independent minds, each with a transparent methodology, each with a tracked hit rate, each accountable for its calls.
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The System
The indicator operates on three layers:
Signal Layer — Seven independent Schools analyze price action using different methodologies. Each votes Bull or Bear when its conditions are met.
Council Layer — Votes are aggregated. In "2+ Agree" mode, a signal fires only when two or more Schools vote in the same direction within a 3-bar window. In "All Signals" mode, any School's vote fires a signal.
Visual Layer — POC lines (anchored VWAP), EVWAP (exponentially weighted VWAP), risk/reward boxes, and direction labels present the council's verdict on the price chart.
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The Council
The council aggregates school votes using a configurable consensus mechanism:
"2+ Agree" Mode — Requires two or more enabled Schools to vote in the same direction within a 3-bar window. This is the conservative mode. Fewer signals, higher conviction. If only one School is enabled, it automatically drops to requiring just that one vote.
"All Signals" Mode — Any enabled School's vote fires a signal. This is the aggressive mode. More signals, lower filtering. Useful for seeing what each School detects independently.
Conflict Resolution — If bull and bear votes arrive on the same bar, the direction with more votes wins. If tied, bull wins (consistent tie-breaking).
Cooldown — Separate bull and bear cooldowns prevent signal spam in the same direction while allowing quick reversals when the market genuinely flips.
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The 7 Schools
Each School uses a fundamentally different analytical approach. They are designed to be independent — a signal from one School does not depend on or duplicate another.
School 1: OBV Flow
What it sees: Volume flow divergence and acceleration
Detects when On-Balance Volume diverges from price (hidden buying or selling pressure) and when volume flow is accelerating in a direction supported by market structure.
School 2: Confluence
What it sees: Multi-factor agreement across independent indicators
Triggers when RSI exits oversold (bull) or crosses below the momentum midline (bear) in a trending market. Scores seven independent factors and requires four or more to agree.
School 3: Wyckoff
What it sees: Effort vs Result on pullbacks, plus trap events
Measures whether pullback volume is declining relative to pre-pullback volume (Wyckoff effort), whether the bounce bar shows commitment (result), and detects Spring and Upthrust events — false breakdowns and breakouts that trap weak hands.
School 4: Amplitude Strength
What it sees: Wave dynamics — speed, time, and volume at swing points
Compares consecutive swing waves: is the trend wave faster than the pullback? Is the pullback shorter in time? Is volume declining at successive swing lows (or highs)? Is momentum oversold (or overbought) at the swing point? Scores seven wave-quality factors.
School 5: VWMA Delta
What it sees: Volume-weighted momentum crossing fair value
Computes the difference between short-term and long-term Volume Weighted Moving Averages, smooths it with RMA, and fires when this delta crosses zero. Volume is built into the measurement itself — not added as a secondary filter.
School 6: Kalman Filter (LQE)
What it sees: Adaptive filtered trend crossover
Applies two Kalman filters (Linear Quadratic Estimator) to price at different speeds. The short filter crossing above or below the long filter signals a trend shift. The Kalman filter adapts its responsiveness automatically based on estimation uncertainty.
School 7: Naive Bayes (Adaptive)
What it sees: Learned patterns in raw price action DNA
A machine learning classifier that observes six raw features no other School uses: body trend, wick dominance, price percentile, volatility regime, momentum acceleration, and gap behavior. It builds Gaussian probability profiles from resolved outcomes and votes when its confidence exceeds 65% in either direction. This School learns and adapts to the specific instrument and timeframe over time.
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School Rules — Complete Reference
School 1: OBV Flow (5 rules)
Price at/near 20-bar low (within 5% of range) — bull trigger
OBV well above its 20-bar low (>15% of OBV range) — divergence detection
OBV above its SMA(20) — volume flow trend confirmation
OBV slope accelerating (current 5-bar slope > previous) — momentum
Bull structure (higher lows) confirmed — structural context
Bear: symmetric mirror of all conditions
School 2: Confluence (9 rules — 2 trigger + 7 scored, need 4/7)
Trigger: RSI crosses above 30 (bull) or below 50 (bear)
Trigger gate: ADX ≥ 20 + price on correct side of EMA
Score: ADX ≥ 25 (strong trend)
Score: Bull/bear structure confirmed
Score: Price above/below SMA(50) (longer-term trend alignment)
Score: MACD line vs signal agreement
Score: Price touched EMA in last 2 bars (level test)
Score: Volume above average
Score: Candle body ratio > 50%
School 3: Wyckoff (9 rules — 7 standard + 2 trap events)
EMA cross initiates pullback tracking
Pullback duration ≥ 3 bars
Average pullback volume < pre-pullback average volume (declining effort)
OR average body ratio < 0.45 during pullback (narrow bars)
Bounce bar body ratio > 50% (strong commitment)
Bounce bar volume > pullback average volume (expanding effort)
EMA cross back confirms resolution
Spring: price breaks below previous swing low, closes back above with volume
Upthrust: price breaks above previous swing high, closes back below with volume
School 4: Amplitude Strength (7 scored, need 4/7)
Bull/bear structure confirmed
Trend wave amplitude > 0.8 ATR (bull: up-wave, bear: down-wave separately)
Trend wave speed > pullback speed (impulsive move, not grinding)
Pullback duration < trend wave duration (quick correction)
Current pullback shallower than previous (< 1.2x)
Current swing volume < previous swing volume (swing-to-swing comparison)
RSI < 40 at swing low (bull) / RSI > 60 at swing high (bear)
School 5: VWMA Delta (1 rule)
RMA(30) of VWMA(5) minus VWMA(30) crosses zero
School 6: Kalman Filter LQE (1 rule)
Kalman filter (length 50, R=0.01, Q=0.10) crosses above/below Kalman filter (length 100)
School 7: Naive Bayes Adaptive (6 features + confidence threshold)
Feature: 3-bar body trend (growing or shrinking candle bodies)
Feature: Wick dominance (upper vs lower wick ratio — rejection direction)
Feature: Price percentile in 20-bar range (position within recent range)
Feature: Volatility regime (ATR vs its SMA — expanding or contracting)
Feature: Momentum acceleration (bar-to-bar price change speeding up or slowing)
Feature: Gap behavior (open vs previous close, ATR-normalized)
Threshold: P(bull) ≥ 65% to vote bull, P(bull) ≤ 35% to vote bear
Requires minimum 15 resolved samples before voting
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How the Schools Differ
Schools 1 & 5 are volume-driven — they measure where money is flowing, not where price is moving.
Schools 2 & 4 are multi-factor scoring systems — they require multiple conditions to align before voting, reducing false positives.
School 3 is event-driven — it detects specific Wyckoff structural events (springs, upthrusts, effort exhaustion) rather than continuous measurements.
School 6 is filter-driven — it uses an adaptive mathematical estimator that adjusts its own responsiveness based on estimation uncertainty.
School 7 is the only School that learns — it builds its model from the instrument's own history and adapts over time. Every other School uses fixed rules.
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The Voting System
Each School votes independently. Votes are collected within a 3-bar window — Schools do not need to fire on the exact same bar to count as agreeing. This accommodates the fact that different analytical methods detect events at slightly different times.
The dashboard shows each School's most recent vote using directional emojis and colors the School name green (bull vote) or red (bear vote) when it participated in the last signal. Schools are sorted by recency — the most recently active School appears at the top of the list.
The Hit Rate column shows each School's accuracy when it participated in council signals — how often signals were correct when that School voted. This is not standalone accuracy; it measures performance within the council context.
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POC Lines (Anchored VWAP)
Three dashed lines that represent volume-weighted fair value since the last extreme volume event:
Center — the anchored VWAP: where volume-weighted price has centered since the last climax event
Upper and Lower — standard deviation bands that start at the same point as the center (origin) and branch outward as price disperses
The POC re-anchors when a volume extreme is detected (volume z-score exceeds the threshold with a directional candle). All three lines converge to a single origin point at the climax bar, then branch as the new VWAP accumulates data.
The line closest to price is highlighted with increased width and brightness. When the council signals a direction and price subsequently moves against it (crossing the POC center in the wrong direction for 3+ bars), the highlighted line changes color — red for a failed bull signal, green for a failed bear signal. This failure detection provides immediate visual feedback that the anticipated move did not materialize.
Hull smoothing can be applied to the POC lines for cleaner visual tracking.
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EVWAP (Exponentially Weighted VWAP)
A solid line that tracks volume-weighted fair value with exponential decay, re-anchoring at swing direction changes:
Uses the same Exponentially Weighted Moving Average formula as the DS-VWAP methodology
Re-seeds at swing pivot points detected by the swing period setting
Volume spikes are capped at 3x the 20-bar average to prevent single bars from hijacking the calculation
Changes color based on swing direction — bull color when the most recent swing high is more recent, bear color when the most recent swing low is more recent
Direction change triangles mark where each new segment begins
Hull smoothing can be applied for a cleaner line.
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The Cyclic Structure: POC within EVWAP
The POC and EVWAP operate on different cycles and anchor to different events:
EVWAP re-anchors on swing direction changes (structural pivots in price). It represents the macro fair value — where the broader trend says price should be.
POC re-anchors on volume extreme events (climax bars). It represents the micro fair value — where volume clustered after the last burst of aggressive participation.
These cycles are not synchronized. A volume climax can happen mid-swing. A swing pivot can happen without a volume extreme. When both re-anchor near the same bar, that is a structurally significant event — both macro and micro fair value are resetting simultaneously.
The POC lines oscillate within the EVWAP framework. When the POC center is above the EVWAP line, volume-weighted activity is biased above the structural trend — bullish pressure. When below, bearish pressure. This relationship provides a dynamic reading of whether short-term volume activity agrees with the broader trend direction.
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Risk/Reward Boxes
When a signal fires, two boxes are drawn:
Green box (above entry for bull, below for bear) — the take-profit zone at 2:1 risk-reward ratio
Red box (below entry for bull, above for bear) — the stop-loss zone at 0.5 ATR from the signal bar's extreme
Boxes extend 15 bars forward
Higher vote counts produce slightly more opaque boxes (stronger conviction = more visible)
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Hit Rate and Accuracy Tracking
The indicator tracks signal accuracy using Maximum Favorable Excursion (MFE):
After each signal, the tracker monitors the next 12 bars
If price reaches 0.5 ATR in the signal direction at any point during those 12 bars (using the bar's high for bull signals, low for bear signals), the signal is marked correct
This is not a close-at-bar-12 check — it measures whether the move occurred , not whether it held
The dashboard displays:
Per-School Hit Rate — accuracy when that School participated in the council signal
Council Accuracy — overall accuracy across all evaluated signals
Signals — evaluated count vs total fired (signals during an active evaluation window are not double-counted)
Naive Bayes Learning — current status and class distribution of the adaptive learner
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Visual Aesthetics
The indicator is designed for visual clarity on dark-themed charts:
POC lines — dashed, in a distinct blue tone, with the tracked line highlighted at double width
EVWAP line — solid, colored by swing direction (bull/bear), with direction triangles at segment starts
Climax circles — small colored dots marking extreme volume events, no glow clutter
Signal labels — directional arrows with vote counts (e.g., "↑ Up (3/7)")
Dashboard — Schools sorted by recency of last vote, with bull/bear emojis and color-coded names. Schools that voted in the most recent signal appear at the top and light up in the direction color.
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Key Settings
Council Behavior — "2+ Agree" (consensus) or "All Signals" (any School)
Signal Cooldown — Minimum bars between same-direction signals (default 30). Opposite-direction signals are not blocked.
School Toggles — Enable or disable each of the 7 Schools independently.
POC/EVWAP Smoothing — Raw or Hull smoothed. Hull length configurable.
Swing Period — Controls EVWAP re-anchoring sensitivity (default 55).
Volume Lookback — Bars analyzed for climax detection and volume statistics.
NB Min Samples — Minimum resolved outcomes before the Naive Bayes School starts voting.
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Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument.
All trading involves risk. Past performance of any signal, voting system, or analytical method does not guarantee future results. The council votes, hit rates, and accuracy statistics displayed represent computational assessments based on the indicator's rules applied to historical data loaded in PulseWire. They are not predictions and should not be treated as certainties.
The Naive Bayes School learns from the chart data currently loaded. Its learned patterns may not generalize to future market conditions, different instruments, or different timeframes. The hit rates displayed in the dashboard reflect performance on the loaded chart history only and are subject to survivorship bias, lookback bias, and data limitations inherent to backtesting on historical bars.
No indicator, algorithm, or model — regardless of how many independent methods it combines — can account for all market variables including liquidity events, news-driven gaps, exchange outages, dark pool activity, or sudden regime changes.
Traders should always use independent risk management, position sizing, and their own judgment before entering any trade.
By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
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