Fractal Timeframe Collision Node [MarkitTick]💡 The financial markets operate across multiple interacting timeframes, creating complex structural geometries that cannot be accurately analyzed through a single, isolated lens. The tool presented here acts as a comprehensive multi-timeframe aggregation engine, designed to isolate highly significant structural support and resistance clusters. By evaluating pivot points across four distinct time spans and merging them based on volatility-adjusted proximity, this system identifies high-probability reaction zones where structural exhaustion is most likely to occur. It is built strictly for the modern Pine Script environment, utilizing an entirely non-repainting architecture that respects the highest standards of data integrity and execution logic.
● ✨ Originality and Utility
Standard pivot or support/resistance scripts typically plot historical swing highs and lows independently. This creates chart clutter and often leaves the analyst guessing which level holds the most technical weight. This tool introduces the concept of "Collision Nodes." Instead of simply drawing every pivot, the algorithm scans higher timeframe data, identifies structural extremes, and clusters them together using a dynamic, adaptive mechanism.
When multiple higher timeframes project a pivot at the exact same price zone, a structural "Collision Node" is formed.
The utility lies in its objective strength grading: a node formed by the confluence of the 1-hour, 4-hour, and Daily charts mathematically demands more respect than a single localized swing point on a lower timeframe.
By filtering out the noise and only projecting nodes that meet a user-defined minimum strength threshold, the analyst is presented with a remarkably clean chart displaying only the most critical, high-liquidity zones.
Furthermore, the script automatically generates full trade execution parameters (Entry, Stop Loss, and multiple Take Profits) directly on the chart when a valid structural rejection occurs.
● 🔬 Methodology and Concepts
• Multi-Timeframe Pivot Extraction
The core engine relies on detecting localized extrema (Pivot Highs and Pivot Lows) over a user-defined lookback window. The script fetches these pivot values simultaneously from three higher timeframes plus the current chart's timeframe. To ensure absolute data integrity and prevent any future data leakage (repainting), the algorithm strictly requests historical, confirmed data using offset historical referencing.
• Volatility-Normalized Spatial Clustering
Once the pivots are extracted, the algorithm must determine if they "collide" or overlap. Because absolute price distance is irrelevant across different assets, the script uses a dynamic clustering mechanism normalized by the Average True Range (ATR).
A tolerance band is calculated by multiplying the current ATR by a user-defined coefficient.
If a newly discovered higher timeframe pivot falls within this exact tolerance band of an existing pivot cluster, it is merged into that cluster, and the cluster's "strength" rating is incremented.
If it falls outside the tolerance band, a new independent node is registered.
• Memory Management and Age Pruning
Financial markets possess a memory, but structural relevance decays over time. The script incorporates a memory management protocol that continually monitors the age of all registered nodes. If a node has not been tested or updated within a specific bar count limit, it is automatically pruned from the active array, ensuring that only highly relevant, modern liquidity pools are analyzed.
• Automated Signal Validation
A visual node is not a signal; it is an area of interest. The script validates trade signals by combining spatial location with price action. A valid signal requires the price to close inside the tolerance zone of a high-strength node, accompanied by a rejection candle (where the wick constitutes a significant percentage of the total candle range), and a structural close confirming the directional bias.
● 🎨 Visual Guide
• Collision Nodes
Teal Horizontal Lines: Represent bullish support nodes. The opacity of the line dynamically shifts based on the strength of the node (darker/more solid lines indicate higher timeframe confluence).
Red Horizontal Lines: Represent bearish resistance nodes. Like the bullish nodes, their visibility scales with structural strength.
Diamond Labels (◆×2, ◆×3): Attached to the end of the node lines, these labels explicitly display the node's strength rating. A "◆×3" label means three separate timeframes have confirmed a pivot at this exact mathematical level.
• Trade Execution Box
Dashed Blue Line: Indicates the exact Entry price upon signal confirmation.
Solid Red Line: Represents the dynamic Stop Loss, which is placed behind the collision node with an added ATR-based buffer to avoid premature liquidation.
Dashed Teal Lines (TP1, TP2, TP3): Represent calculated Take Profit levels projected automatically based on the user's defined Risk-to-Reward (RR) multipliers.
Red Background Fill: Visually maps the total risk zone between the Entry and the Stop Loss.
Teal Background Fill: Visually maps the total reward zone extending from the Entry up to the final Take Profit target.
• Real-time Dashboard
Located by default in the top right corner, this data table provides an instant summary of the market structure.
Bias: Displays the current active signal direction (LONG, SHORT, or NONE).
Active Nodes & Strengths: Lists the exact price levels of the nearest active bull and bear nodes, accompanied by visual progress bars displaying their respective strengths (Green for high strength, Yellow for medium, Red for low).
Trade Tracking: Displays the currently active Stop Loss and primary Take Profit levels if a trade configuration is locked on the chart.
● 📖 How to Use
Apply the indicator to your chart and set your three preferred higher timeframes in the settings (e.g., if trading on the 15-minute chart, you might select 1-Hour, 4-Hour, and Daily).
Observe the chart for the formation of high-strength Collision Nodes (look for ◆×3 or ◆×4 labels). These are your primary zones of interest.
Wait for price action to approach these nodes. Do not place blind limit orders.
Allow the script's internal logic to identify a structural rejection. When a valid rejection candle forms and closes at a node, a trade execution box will automatically populate on the chart.
Use the provided Entry, Stop Loss, and Take Profit lines to format your position sizing and manage the trade according to the mapped risk-to-reward parameters.
Optionally, link the script's advanced JSON webhook alerts to an external execution platform for automated trade routing.
● ⚙️ Inputs and Settings
• Core Settings
Pivot Lookback: The structural length required to confirm a swing high or low.
TF 1, TF 2, TF 3: The three higher timeframes used to scan for structural confluence.
Include Chart TF: Determines if the current chart's timeframe should also contribute to node strength.
Node Tolerance (×ATR): The spatial bandwidth used to cluster pivots together, measured as a multiplier of current volatility.
Min Node Strength: The minimum number of overlapping timeframes required for a node to be rendered on the chart.
• Filters
Require Rejection Candle: Enforces strict price action criteria, demanding that signals only fire if the candle displays a prominent rejection wick.
Min Wick % of Range: The exact percentage of the candle that must be composed of the wick to validate a rejection.
Max Node Age (bars): The duration a node remains active without being re-tested before being permanently purged from memory.
• Trade Tools
SL Buffer (×ATR): Adds a dynamic volatility buffer beyond the structural node to determine the absolute invalidation point.
TP1, TP2, TP3 (×SL Risk): The respective risk-to-reward multipliers used to dynamically project profit targets.
Lock Current Trade Levels: Freezes the visual risk/reward box on the chart until the trade hits either the final target or the stop loss, ignoring subsequent signals.
• Dashboard & Alerts
Show Dashboard: Toggles the visibility of the real-time data table.
Alert Actions: Customizable text fields allowing users to define specific JSON payload strings for long, short, and exit triggers.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The architectural foundation of this algorithm is heavily rooted in the Fractal Market Hypothesis (FMH), which posits that financial markets exhibit self-similar statistical structures across varying scales of time. In practical terms, a distribution pattern on a 5-minute chart mathematically resembles a distribution pattern on a Weekly chart. By aggregating pivot extrema from multiple independent time scales, this script exploits these fractal geometries to identify areas of harmonic resonance—price zones where liquidity pools overlap across different cohorts of market participants.
To resolve the spatial clustering problem, the system utilizes a volatility-normalized one-dimensional grouping algorithm conceptually akin to Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Instead of utilizing fixed scalar distances (which fail as asset prices scale), the algorithm calculates an epsilon distance bounded by the Average True Range (ATR). This ensures that the clustering logic expands and contracts organically with market entropy. The ultimate output is a mathematically objective reduction of structural noise, isolating only the highest-density liquidity nodes that possess the greatest statistical probability of halting directional momentum.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indikator
Institutional Flow MatrixInstitutional Flow Matrix is an open-source market-analysis framework designed to organize trend direction, confirmed market structure, institutional price zones, momentum, and location within a dealing range into one readable chart.
The purpose of this indicator is not to predict every price movement or generate constant entries. It is designed to answer a more practical sequence of questions:
1. What is the current directional bias?
2. Is market structure supporting that direction?
3. Is price trading from a meaningful location?
4. Has price returned to an active institutional zone?
5. Is momentum aligned with the proposed setup?
The script combines these questions into a structured workflow while keeping the default chart intentionally clean.
WHY THIS INDICATOR WAS BUILT
Many market-structure indicators display every swing, imbalance, liquidity level, zone, and signal at the same time. While that information can be useful for detailed analysis, it can also make the chart difficult to interpret during live trading.
Institutional Flow Matrix was built around a visual hierarchy:
* Directional bias is the primary layer.
* Active Order Blocks are the principal reaction zones.
* Momentum is a confirmation layer.
* Premium and Discount provide market location.
* Fair Value Gaps, liquidity pools, sweeps, and higher-timeframe levels are optional study tools.
The default Balanced preset focuses on the information most relevant to a directional pullback setup. Minimal mode removes most supporting visuals for live execution. Full mode reveals the additional market-structure tools for deeper analysis.
WHAT MAKES THE IMPLEMENTATION DIFFERENT
The individual concepts used by this script, including pivots, moving averages, ATR trend filters, Order Blocks, Fair Value Gaps, and Premium/Discount ranges, are established forms of technical analysis.
The original contribution of Institutional Flow Matrix is how those components are synchronized and managed as one decision framework.
Key design elements include:
* Confirmed structure events rather than unconfirmed swing guesses.
* A persistent directional state requiring agreement between structure, EMA alignment, and an ATR-based trend filter.
* Order Block freshness validation before a zone is accepted.
* Separate visual duration and analytical lifetime controls for zones.
* Automatic mitigation and expiration of old zones.
* Limited drawing-object counts to prevent long-term chart clutter.
* A weighted confluence model centered on trend, structure, zone interaction, market location, and momentum.
* Three visual presets that change the information hierarchy without changing the underlying calculations.
* Confirmed-bar signals and event-based alerts.
This is not intended to be a collection of unrelated indicators. Each module has a defined role in the same setup process.
DIRECTIONAL BIAS
The chart background represents the script's confirmed directional state.
A bullish state requires agreement between:
* Bullish market structure.
* Fast EMA positioning above the slow EMA.
* Bullish ATR trend conditions.
A bearish state uses the opposite conditions.
The background changes only after the required conditions are confirmed. A larger BUY or SELL label marks a confirmed change in this directional state.
These shift labels are different from the smaller confluence signals. A shift label identifies a change in directional bias. A confluence signal requires additional location, zone, and momentum conditions.
MARKET STRUCTURE
Confirmed pivot highs and lows form the structure engine.
The script tracks:
* Higher Highs
* Higher Lows
* Lower Highs
* Lower Lows
* Breaks of Structure
* Changes of Character
A bullish break occurs when a confirmed bar closes above the latest unbroken confirmed swing high. A bearish break occurs when a confirmed bar closes below the latest unbroken confirmed swing low.
Swing labels are retrospective by design. A pivot can only be confirmed after the selected number of right-side bars has closed. Once confirmed, its label is placed on the candle where the swing originally occurred. The label was not known on that earlier candle.
ORDER BLOCKS
Order Blocks are the primary reaction zones in the indicator.
After a confirmed structure break or qualifying displacement event, the script searches backward for an opposing candle. A candidate candle can be filtered by:
* Candle range relative to ATR.
* Body size as a percentage of candle range.
* Optional volume expansion.
* Wick-based or body-based zone construction.
Before accepting the candidate, the script checks whether price has already invalidated it. This prevents many stale zones from being created after the fact.
Active Order Blocks can be invalidated by either:
* A close beyond the opposite edge.
* A wick beyond the opposite edge.
The selected mitigation method is used consistently during both zone creation and live zone management.
Order Blocks have separate controls for visual extension and analytical age. This allows users to control how long a box remains visible independently from how long it remains eligible for signal calculations.
PREMIUM, DISCOUNT, AND EQUILIBRIUM
The script creates a rolling dealing range from the highest high and lowest low over the selected lookback.
The range is divided into:
* Premium: the upper portion of the range.
* Discount: the lower portion of the range.
* Equilibrium: the 50% midpoint.
Premium and Discount do not generate trades by themselves. They provide location.
In general:
* Bullish setups receive stronger contextual support in Discount.
* Bearish setups receive stronger contextual support in Premium.
* Equilibrium represents the midpoint of the current rolling range.
Because the range is rolling, its boundaries can change when a new lookback high or low is formed.
MOMENTUM RIBBON
The momentum module uses three exponential moving averages and an ATR-normalized difference between the fast and slow averages.
Bullish momentum requires:
* Fast EMA above the slow EMA.
* Positive normalized momentum.
* Momentum above its signal average.
Bearish momentum uses the opposite conditions.
Diamond markers identify confirmed momentum crossings. The ribbon is intended as confirmation rather than a standalone entry system.
CONFLUENCE SIGNALS
The script calculates a 0-100 Confluence Score from five conditions:
* Directional bias: 25 points.
* Market structure: 15 points.
* Momentum alignment: 15 points.
* Active Order Block interaction: 25 points.
* Premium or Discount location: 20 points.
The score measures condition alignment. It is not a probability, win rate, accuracy estimate, or forecast of future performance.
By default, BUY and SELL signals require:
* Confirmed directional bias.
* Matching confirmed structure.
* Interaction with an active Order Block.
* Correct Premium or Discount location.
* Matching momentum.
* Minimum Confluence Score.
* Completion of the selected signal cooldown.
Signals are displayed only when the complete condition changes from false to true. This prevents repeated labels while the same setup remains active.
OPTIONAL ADVANCED MODULES
Full mode provides additional analytical tools:
* Fair Value Gaps with ATR size filtering.
* Equal-high and equal-low liquidity pools.
* Confirmed liquidity sweeps.
* BOS and CHoCH labels.
* HH, HL, LH, and LL labels.
* Previous day, week, and month highs and lows.
* Optional momentum candle coloring.
These features are disabled or hidden from the default Balanced view to preserve readability.
VISUAL PRESETS
Minimal:
Designed for traders who want the least chart interference. It suppresses the background, ribbon, Premium/Discount display, trailing line, dashboard, and advanced structure annotations.
Balanced:
The default view. It emphasizes directional background, active Order Blocks, Premium/Discount context, momentum ribbon, diamonds, signals, and the dashboard.
Full:
Designed for detailed study. It adds structure labels, BOS/CHoCH events, Fair Value Gaps, liquidity tools, higher-timeframe levels, and optional candle coloring.
FOR NEWER TRADERS
A simple workflow is:
1. Start with the Balanced preset.
2. Use the background to identify the current directional bias.
3. Wait for price to return to an Order Block matching that bias.
4. Check whether price is in Discount for a bullish setup or Premium for a bearish setup.
5. Confirm that the momentum ribbon agrees.
6. Treat the signal as a point for further analysis, not an automatic order.
The equilibrium line can be used as a reference for the midpoint of the current dealing range. It is not automatically an entry or exit instruction.
FOR ADVANCED TRADERS
Experienced users can customize:
* Pivot confirmation sensitivity.
* ATR and EMA trend parameters.
* Wick-based versus body-based Order Blocks.
* Displacement-created zones.
* Candle body, range, and volume filters.
* Close-based versus wick-based mitigation.
* Zone visual duration and analytical age.
* Premium and Discount percentages.
* Fair Value Gap size.
* Liquidity sensitivity.
* Momentum lengths.
* Individual signal requirements.
* Minimum confluence threshold.
* Signal cooldown.
* Higher-timeframe reference levels.
Advanced users can also disable individual hard requirements and use the Confluence Score as a more flexible filtering system.
ALERTS
Alert conditions are included for:
* Break of Structure.
* Change of Character.
* New Order Block.
* BUY signal.
* SELL signal.
* Bias-aligned Order Block entry.
* Trend and momentum confluence.
* Liquidity sweep.
Alerts should be created using Once Per Bar Close when confirmed signals are required.
NON-REPAINTING AND TIMING
Structure breaks, directional shifts, zone creation, zone mitigation, momentum events, and confluence signals are evaluated on confirmed bars.
Pivot-based swing labels require future bars to confirm that a swing occurred. After confirmation, the label is displayed on the original pivot candle. This is delayed confirmation with retrospective placement, not advance knowledge of the swing.
Previous-period levels use completed higher-timeframe data.
LIMITATIONS
* This indicator does not predict future prices.
* It does not calculate position size, stop loss, or account risk.
* It is not a complete automated trading system.
* Signals can fail during volatile, illiquid, or range-bound conditions.
* Rolling Premium, Discount, and equilibrium levels can move when the lookback range changes.
* Confirmed pivots introduce an intentional delay.
* Order Block definitions vary among trading methodologies; this script uses the documented candle-search and filtering rules described above.
* Volume behavior differs across asset classes and data providers.
* Parameter settings that work on one symbol or timeframe may not be appropriate for another.
Suggested starting points are the 15-minute and 1-hour charts for intraday analysis and the 4-hour chart for broader swing structure. Users should test settings on their own symbols and trading sessions.
OPEN-SOURCE PURPOSE
The script is published open-source so traders can inspect the calculations, understand why signals occur, verify the confirmed-bar methodology, and adapt the framework for their own research.
The goal is to provide a readable and transparent market-structure workflow rather than a black-box prediction tool.
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee profitable results. Historical chart behavior does not ensure future performance. Users are responsible for their own analysis, testing, risk management, and trading decisions.
Indikator
Supply & Demand Order Blocks [JOAT]Supply and Demand Order Blocks
Detects institutional order blocks from displacement, tracks them until mitigated, and signals reactions when price returns to a fresh zone.
What it is
Large participants cannot fill size at a single price, so they leave a footprint: the last opposing candle before an aggressive, imbalanced push. That candle marks the zone where unfilled orders rest and where price often returns to be re-accumulated or re-distributed. This indicator locates those zones objectively, manages their lifecycle, and frames the reaction as a trade. It is an original order-block engine with strict zone management.
How it works
• Displacement — the engine measures each impulsive leg over a short window against an ATR multiple. Only moves that exceed that threshold (optionally requiring a fair-value gap) count as institutional displacement, filtering out ordinary candles.
• Order block — the last opposing candle before a qualifying displacement is stored as a zone: the last down candle before a bullish push becomes demand, the last up candle before a bearish push becomes supply.
• Zone management — active blocks are held in parallel arrays, drawn as boxes extended to the right, faded by age and saturated by displacement strength, pruned once mitigated (price closes through them), and capped at a live maximum so the chart stays clean.
• Signals — a Buy fires when price taps a fresh demand block and closes back up (a bullish rejection); a Sell is the mirror at a supply block. An optional trend filter keeps you buying demand in uptrends and selling supply in downtrends, and a minimum-age plus minimum-gap rule stops a freshly formed block from self-triggering and prevents clustering.
Trade levels
Each signal draws a red risk box from entry to a stop placed beyond the block and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable order-flow-depth panel shows the trend bias, the live counts of demand and supply blocks, the distance to the nearest zone, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; larger timeframes produce fewer, more significant blocks.
• Trade reactions at fresh, unmitigated zones aligned with the trend filter; treat mitigated zones as spent.
• Use the nearest-zone distance to anticipate where a reaction may occur before it happens.
Settings
Displacement window and ATR size, fair-value-gap requirement, maximum live blocks and extension, minimum block age, trend filter length, risk buffer and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the full lifecycle model: an ATR-based displacement filter, objective block selection, age-and-strength-aware zone rendering, mitigation-based pruning, and a self-trigger guard — combined with a trend-filtered, non-repainting reaction signal and explained end to end.
Notes and limitations
• Not every tap of a zone reverses; blocks can and do break, which is why mitigation pruning and stops exist.
• Order-block definitions vary between traders; this engine uses one consistent, disclosed definition.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indikator
True Order Blocks & Liquidity LevelsTrue Order Blocks & Liquidity Levels — a comprehensive price action toolkit for market structure analysis, liquidity mapping, and institutional zone detection across any instrument and timeframe.
The logic behind order blocks, imbalances, and internal pullbacks is built in strict accordance with the inside bar methodology — one of the most precise approaches to identifying institutional points of interest. Every module accounts for whether a bar is an inside bar, which significantly improves signal quality and eliminates false zones that commonly appear with traditional approaches.
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MODULES
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▸ Internal Pullbacks
Displays market structure as lines connecting sequential pivot highs and lows. Inside bars are ignored during structure building, keeping pullback lines clean and noise-free. The last open line redraws in real time as price develops.
Adjustable number of visible lines
Color, style (solid / dashed / dotted) and width customization
▸ Internal Liquidity
Horizontal lines automatically placed at each confirmed pivot high and low. A line persists until price crosses it — at that moment the line is removed and an alert fires. These levels mark clusters of stop orders and serve as potential targets for liquidity sweeps.
Independent limit on the number of visible levels
Color and style customization
Alert on level breach
▸ Imbalance (FVG)
Fair Value Gap detector built on three consecutive non-inside bars. The algorithm steps over inside bars when searching for the FVG — this means the gap can span more than 3 candles visually if inside bars appear in between, which is intentional and produces cleaner zones. Open-price gaps are handled by clipping FVG boundaries to the body of the middle candle.
Separate colors for bullish and bearish FVG zones
Maximum number of displayed zones
Midline drawn inside each zone for easier reference
▸ Order Blocks
Institutional interest zones formed by a strict algorithm: an order block is drawn only when the bar preceding a FVG performed a liquidity sweep — meaning it broke the high or low of the prior significant pivot. The block is placed on the candle immediately preceding the impulsive move. If an absorption candle stands between the OB candidate and the FVG, the candidate is reset — preventing false blocks from forming on overly aggressive moves.
Automatic mitigation tracking: when price touches the zone, the block changes to a "mitigated" color
Option to hide mitigated blocks entirely
Separate colors for bullish, bearish, and mitigated blocks
Adjustable history depth
Alerts on new block formation and on mitigation
▸ Inside Bars
Highlights bars that fit entirely within the range of the previous mother candle. A series of consecutive inside bars signals compression and accumulation ahead of a directional move.
Barcolor highlight with customizable color
Adjustable lookback depth
▸ Absorption
Marks candles that fully engulf the range of the previous mother candle (high > mother high and low < mother low). These candles often indicate absorption of accumulated positions and a short-term shift in intent.
Separate highlight color independent of Inside Bars
Alert on absorption candle formation
▸ PDH / PDL — Previous Day High & Low
Displays high and low levels from previous trading days (up to 7 days). Levels that have been fully engulfed by price are automatically hidden. Each level is labeled: the most recent is marked "PDH" / "PDL", older ones show the date in month/day format.
Adjustable number of days displayed
Unified color for all PDH/PDL levels
Alert when price crosses a level
▸ Market Sessions
Draws session boxes for each trading session over the last N days. Five fully independent sessions are supported — defaults are Asia, Frankfurt, London, New York, and one custom user-defined session.
Custom name, start and end time (UTC), and background color per session
Optional horizontal border lines showing session high and low
Border style and width customization
Adjustable display depth (number of days)
Alerts when price crosses the high or low of a closed session
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TREND FILTER
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Colors the chart background based on WaveTrend oscillator alignment across up to three independent timeframes. When all selected timeframes show WT above zero simultaneously — bullish background. When all show WT below zero — bearish background. When timeframes disagree — no background, signalling an unclear or transitional market state.
How WaveTrend is calculated: WT is built as a double-smoothed normalized channel index on HLC3. The first EMA measures the average deviation of price from its mean; the result is normalized and smoothed again to produce the final oscillator value. Values above zero indicate bullish bias, below zero — bearish.
Show trend filter — master on/off switch
WT Channel Length — EMA length for channel calculation. Shorter = more reactive
WT Average Length — smoothing EMA applied on top. Larger = calmer signal
TF 1 / TF 2 / TF 3 — each row has an enable toggle and a timeframe selector. Defaults: 15m, 1h, 4h. A disabled timeframe is treated as neutral and excluded from alignment check
Confirm trend on bar close — when enabled, background and alerts only react to values from the last closed HTF bar, eliminating intra-bar repainting. When disabled, the background updates in real time as the HTF bar forms
Bullish / Bearish background colors — customizable with transparency
Trend Changed alert — fires on bar close on any of the six possible state transitions: uptrend ↔ neutral ↔ downtrend and direct flip. Alert message specifies the exact transition
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DASHBOARD
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A compact table showing WaveTrend values for each enabled timeframe. Only enabled timeframes are displayed — from one to three rows.
Column 1: timeframe label (15m, 1h, 4h etc.)
Column 2: current WT value rounded to one decimal. Cell background reflects signal strength: neutral grey (−10 to +10), weak green/red (±10 to ±40), saturated green/red (beyond ±40)
Position — 9 placement options across the chart
Text size — Tiny / Small / Normal / Large
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ALERTS
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Every module has its own independent alert toggle. All messages can optionally be prefixed with the instrument ticker — useful when monitoring multiple charts simultaneously.
Liquidity level breached
Absorption candle formed
New order block created
Order block mitigated
Session high or low crossed
PDH / PDL level crossed
Trend changed (WaveTrend multi-TF)
Indikator
Strong Gold Signals | ProjectSyndicateStrong Gold Signals catches the moment a liquidity grab runs out of fuel — price stabs beyond a level, traps the breakout crowd, then rolls over — and fires the reversal the instant the sweep stops extending. Markets hunt the obvious highs and lows: a candle pushes through a prior swing, an HTF extreme, or a session high/low, spikes just far enough to trip the stops resting there, then rejects with a long wick and closes back showing the move had no follow-through. That failed grab is the event. The engine measures how clean and how loaded that sweep is as a 0–10 Reversal Strength and fires AGAINST the grab — with the snap-back, not with the trap. Every setup gets a structural invalidation level behind the sweep extreme, fixed R-based targets, a 0–10 strength with a 1–4 star rank, and is tracked live on a full statistics dashboard — including honest stop-outs — so you can see exactly how the logic behaves on the symbol and timeframe you trade.
🧠 Sweep Core — the core idea, expressed as a lifecycle: LEVEL ▸ GRAB ▸ REJECTION ▸ STALL ▸ REVERSAL. A fresh liquidity level defines where stops are resting. A grab happens when price closes beyond that level with a rejection wick — the raid that runs the stops and then gets sold (or bought) back into range. The sweep is allowed to keep extending as long as it makes new extremes; the reversal fires on the first confirmed bar that fails to push past the sweep's high or low. Swept highs flip to a SHORT, swept lows to a LONG. Pivots come from confirmed swings and every condition is evaluated on the bar's close, so the structure and the signal do not repaint once they confirm.
🔎 Three Liquidity Sources — you choose what counts as the liquidity being swept. Macro Pivots uses confirmed swing highs and lows and is the validated default on intraday gold. HTF Previous Bar uses the prior higher-timeframe bar's high and low, so the engine hunts the levels bigger players watch. Session High/Low tracks the Asian, London, and New York ranges and reacts when a session extreme is raided. One switch changes the entire character of what the engine treats as a stop-hunt, without touching the rest of the logic.
🔋 Strength Anatomy — a sweep is not just true or false; it is scored for how clean the reversal setup is. The Reversal Strength fuses reversal-native ingredients into a single 0–10 read: trend context (how the higher structure frames the fade), rejection wick (how decisively the grab was rejected), volatility regime (calmer conditions favor clean snap-backs over runaway sweeps), mean proximity (how stretched price is from its baseline), and sweep depth (how far past the level the raid reached before stalling). Each ingredient carries its own weight and contributes to the 0–10 total, and you shape what qualifies through those weights and the wick threshold rather than chasing a single number.
🎯 Structural Invalidation + R-Based Targets — the stop is anchored to the sweep, not guessed. Invalidation sits just beyond the sweep extreme — the price that, if reclaimed, means the grab was real and the reversal failed — plus an ATR buffer for cushion. That distance is then clamped between an ATR floor and an ATR ceiling, so a stop never balloons into a wide one and the 1R target never collapses into a tight scalp. TP1, TP2, and TP3 are set at clean R multiples, defaulting to a deliberately wider 1.5R / 3R / 5R so winners are given room to travel, and fully adjustable to your reward profile. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled level prices, the swept liquidity level itself, and filled TP / SL zone boxes, with a result label on exit — and every zone is drawn at the same fixed width, so short trades and long trades leave an identical, uniform footprint on the chart.
⭐ 0–10 Strength with Star Tiers — every signal is labeled with its numeric strength, a star rank, and a tier ladder running MINIMAL → WEAK → MODERATE → STRONG → ELITE, so the raw quality of a setup reads at a glance without checking the number. Treat the strength as a cleanliness and confluence read for ranking and thinning setups — it describes how textbook a sweep-and-reject is, not a guaranteed outcome. The Minimum Stars gate restricts what is taken and alerted, while the dashboard keeps tracking every tier in the background so you can see, on your own data, whether higher tiers actually convert better.
🎚️ Conviction Controls — a compact set of dials sets how serious a sweep must be before it counts: the Minimum Stars To Take (the tier floor to fire at all), the Alert Minimum Stars threshold, the Min Reversal Wick that defines a genuine rejection, the Pivot Length that decides which swings qualify as liquidity, the Stop Buffer beyond the sweep, and the max-risk cap and min-risk floor that keep the stop sane. Tighten them for fewer, cleaner reversals; loosen them for more activity. This is your main control over conviction versus frequency.
🧭 Single-Ticket Discipline & Honest Accounting — only one ticket is active at a time, and a Signal Cooldown enforces a minimum gap between entries so one violent, choppy session can't stack overlapping trades. Resolution is SL-first pessimistic with honest partial-target accounting — if a stop is hit after TP1 or TP2, that partial result is booked rather than rounded up to a full win. A time-stop closes any trade that neither targets nor stops within a generous window, so nothing sits open forever and the on-chart statistics track how the setups actually run to target.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current status (scanning → trade active) and the active trade side, the last signal with its star score, win rate, total closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL outcome breakdown. A multi-timeframe trend strip shows the current and two higher-timeframe biases at a glance, a Win Rate By Strength table breaks results out by star tier, and a Last Trades ledger lists the most recent outcomes. Every filled trade that reaches an outcome is counted — winners and stop-outs alike — so the numbers are computed live from the real signals on your current symbol and timeframe, not a figure printed in a description.
🎨 Clean Themed Visuals — six coherent palettes, all tuned for a black chart background — Aurora (the clean mint-and-rose default), Gold Noir, Ice Blue, Aqua Violet, Neon Magenta, and Institutional — shade the signal labels, the per-trade SL / TP ladder and zone boxes, the swept-level and pivot-liquidity markers, and the dashboard to one consistent look, so direction and quality read at a glance. Each reversal prints a labeled GOLD LONG or GOLD SHORT signal with its strength, star tier, and direction. A max-drawn-trades cap keeps only the most recent tickets on the chart while the statistics stay cumulative over the full history.
🔔 Detailed Alerts — fires on a Strong Long Reversal, a Strong Short Reversal, any reversal, and on TP3 Hit, Partial TP Exit, and SL events, formatted for manual or automated use. The strength gate can restrict alerts to higher-conviction setups only.
🔧 Fully Customizable — every component is exposed: the liquidity source and its pivot length, HTF resolution, session times and timezone, and the reversal-wick threshold; the ATR length, stop buffer, max-risk cap and min-risk floor, and the three R targets; the cooldown, the time-stop window, the uniform zone width, and the max historical trades drawn; the minimum-stars gate, the alert threshold, and each of the five strength weights; the dashboard position, size, and every section toggle including the MTF strip and its two timeframes; all six themes; and every signal label, star, line, box, level tag, and dashboard element.
🎯 Why this is different — most reversal tools flag a wick or a divergence after the fact. This one treats the liquidity grab and its exhaustion as the event, scores how clean that sweep-and-reject is across trend context, rejection, volatility, stretch, and sweep depth, and fires only when the raid stops extending — catching the snap-back at its origin — then anchors invalidation behind the sweep, ranks every setup on an objective 0–10 scale, and layers a live, honest statistics panel that counts stop-outs in full. You tune and judge it on real, current data from your own chart instead of a marketing number.
🚀 Where to use it — the engine was built and tuned on XAUUSD (gold) on intraday timeframes, where liquidity hunts, session raids, and stop-runs are a constant feature — but the mechanics are symbol-agnostic and rest on universal behavior: every liquid market sweeps its obvious highs and lows. It can be applied to FX majors and crosses, metals, indices, and crypto on intraday timeframes, with the pivot length and ATR-based stop adapting to each instrument's volatility. Because it fades exhaustion, it shines around session extremes and range edges and demands more care in violent one-way trends, where a sweep can keep extending rather than reject — let the dashboard tell you whether the logic suits the pair and timeframe before you commit.
🎯 How to trade it
Apply it to a liquid symbol on an intraday timeframe and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe first — if the logic doesn't suit that market, you'll see it.
Wait for a labeled GOLD LONG / GOLD SHORT reversal — it marks a confirmed close where liquidity was swept and rejected and the sweep has stopped extending, with the strength, star tier, and full Entry / SL / TP1 / TP2 / TP3 already plotted.
Read the star tier and the swept level for a fast conviction check — a decisive rejection at a clean level and a higher tier mean a more textbook fade.
Manage the trade with the plotted levels — the ATR-clamped structural stop sits beyond the sweep and defines your risk, and the wider TP1/2/3 sit at your chosen R multiples. Bank or trail however suits your style.
Use the Minimum-Stars floor, the reversal-wick threshold, the pivot length, the cooldown, and the liquidity source to set your tempo — stricter for fewer, cleaner reversals; looser for more activity — and lean on the star tier to focus on the most textbook grabs.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical gold data and behavior will vary by symbol, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model resolves stop-first and books partial-target exits honestly, so some trades close for a fraction of a target rather than a full win — these are counted in full, which is honest but means win rate alone is misleading; because the targets are intentionally wide, expect a lower headline win rate and always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, and the pivot-based liquidity source confirms a few bars after a swing forms — so always wait for the labeled reversal on a closed candle. Because the system fades a move, a real breakout or a sweep that keeps extending can run straight through a stop — combine it with your own analysis and risk management, and test it on your market before trading it live. Indikator
Institutional SMC SuiteSMC Suite Advanced is an all-in-one Smart Money Concepts (SMC) trading engine designed to deliver high-probability institutional order flow tracking directly to your charts. Built for systematic traders, it combines market structure mapping, multi-session analysis, multi-timeframe bias tracking, and an integrated AI scoring model to filter out lower-probability setups.
Whether you are scalping internal ranges or swing trading major draw-on-liquidity levels, this suite automates the heavy lifting of charting.
Key Features & Functionalities
Automated Market Structure: Real-time mapping of Break of Structure (BOS), Change of Character (CHoCH), and Inducement (IDM) lines to capture market transitions immediately.
Dynamic Supply & Demand Zones: Automatic tracking of institutional footprints, highlighting key Order Blocks (OB) and Fair Value Gaps (FVG) with strict strength ratings (★ ★ ★).
Premium/Discount & OTE Ranges: Built-in Fibonacci arrays mapping out Premium/Discount boundaries alongside Optimal Trade Entry (OTE) zones for optimal risk-to-reward positioning.
Multi-Timeframe (MTF) Bias Dashboard: A clean, real-time overlay matrix displaying structural bias across multiple timeframes simultaneously (e.g., 5m, 15m, 1h, 4h) to ensure you stay aligned with the higher-timeframe trend.
AI-Powered Setup Quality & Win Prob: Built-in quantitative model evaluating trade setup validity based on volume, ATR, volatility, and zone confluence—spitting out a live AI Score (e.g., 50/100) and Win Probability percentage.
Session-Based Background Clusters: Color-coded multi-session shading (New York, London, Asian sessions) designed to help you strictly trade within high-volume volatility windows.
Integrated Backtest Engine: Built-in statistics module showing real-time metrics including Total Trades, Total Wins, Total Losses, and overall Winrate directly on your workspace.
How to Use It
Define the HTF Trend: Check the MTF BIAS matrix on the dashboard. Look for alignments where at least 3 out of 4 timeframes share the same directional bias (e.g., BULLISH).
Locate the POI (Point of Interest): Wait for the price to retrace into a valid, highly-rated Demand/Supply zone or an OTE (Optimal Trade Entry) discount pocket.
Confirm via Market Structure & AI Score: Look for a lower-timeframe internal CHoCH or an automated BUY/SELL signal tag. Verify that the AI Score and Quality indicators show favorable conditions before pulling the trigger.
Risk Management: Utilize the automated structural swing highs/lows generated by the script to anchor your stop losses and manage your Risk-to-Reward (RR) metrics effectively. Indikator
SMC Suite Advanced: Institutional Orderflow & Multi-Timeframe (MOverview
SMC Suite Advanced is an all-in-one Smart Money Concepts (SMC) trading engine designed to deliver high-probability institutional order flow tracking directly to your charts. Built for systematic traders, it combines market structure mapping, multi-session analysis, multi-timeframe bias tracking, and an integrated AI scoring model to filter out lower-probability setups.
Whether you are scalping internal ranges or swing trading major draw-on-liquidity levels, this suite automates the heavy lifting of charting.
Key Features & Functionalities
Automated Market Structure: Real-time mapping of Break of Structure (BOS), Change of Character (CHoCH), and Inducement (IDM) lines to capture market transitions immediately.
Dynamic Supply & Demand Zones: Automatic tracking of institutional footprints, highlighting key Order Blocks (OB) and Fair Value Gaps (FVG) with strict strength ratings (★ ★ ★).
Premium/Discount & OTE Ranges: Built-in Fibonacci arrays mapping out Premium/Discount boundaries alongside Optimal Trade Entry (OTE) zones for optimal risk-to-reward positioning.
Multi-Timeframe (MTF) Bias Dashboard: A clean, real-time overlay matrix displaying structural bias across multiple timeframes simultaneously (e.g., 5m, 15m, 1h, 4h) to ensure you stay aligned with the higher-timeframe trend.
AI-Powered Setup Quality & Win Prob: Built-in quantitative model evaluating trade setup validity based on volume, ATR, volatility, and zone confluence—spitting out a live AI Score (e.g., 50/100) and Win Probability percentage.
Session-Based Background Clusters: Color-coded multi-session shading (New York, London, Asian sessions) designed to help you strictly trade within high-volume volatility windows.
Integrated Backtest Engine: Built-in statistics module showing real-time metrics including Total Trades, Total Wins, Total Losses, and overall Winrate directly on your workspace.
How to Use It
Define the HTF Trend: Check the MTF BIAS matrix on the dashboard. Look for alignments where at least 3 out of 4 timeframes share the same directional bias (e.g., BULLISH).
Locate the POI (Point of Interest): Wait for the price to retrace into a valid, highly-rated Demand/Supply zone or an OTE (Optimal Trade Entry) discount pocket.
Confirm via Market Structure & AI Score: Look for a lower-timeframe internal CHoCH or an automated BUY/SELL signal tag. Verify that the AI Score and Quality indicators show favorable conditions before pulling the trigger.
Risk Management: Utilize the automated structural swing highs/lows generated by the script to anchor your stop losses and manage your Risk-to-Reward (RR) metrics effectively.
Disclaimer: This script is intended strictly for analytical purposes and does not constitute financial advice. Always practice sound risk management. Indikator
OrderFlow FVG Matrix MTF | ProjectSyndicateOrderFlow FVG Matrix reads every Fair Value Gap through the lens of the order flow that created it, across three timeframes at once, then commits a single shaded imbalance zone only where the gap, the delta behind it, and the timeframes agree. Instead of drawing every three-candle gap as an identical box, it detects gaps on your chosen higher timeframes, decomposes the volume that formed each one into buying versus selling, scores the imbalance 0–10 on six order-flow-native factors, and fuses overlapping gaps into one Confluence zone tagged with every timeframe that produced it. Each zone carries its own maroon/green buy-versus-sell split, net delta, absorption and relative-volume read, is normalized to a universal height so none dominate the chart, re-scores as price develops, and is neutralized the moment price mitigates it — while a live diagnostics panel shows the full multi-timeframe order-flow picture driving every zone on the symbol and timeframe you trade.
🧠 Order-Flow Core — the central idea. Every gap is graded not by its size but by the flow that built it. Each of the three candles that form an FVG has its volume split into buying versus selling from where price closed within that candle's range, then summed across the formation to yield buy volume, sell volume, net delta, and a wick-rejection absorption estimate; relative volume compares that participation to a rolling baseline. This is what separates a gap born of violent one-sided displacement from a thin, low-conviction gap that merely looks the same. Because the read is derived from price geometry rather than lower-timeframe intrabar requests, it keeps working even where only tick volume is available — gold, FX, and similar instruments — instead of going blank.
📐 Multi-Timeframe FVG Detection — three lenses, one map. Gaps are detected independently on three fully configurable timeframes (default H1 · H2 · H4), with bullish and bearish detection separately toggleable. Each timeframe runs its own self-contained detector on its own confirmed bars, and a gap must clear an ATR (or percent-of-price) filter to qualify. Higher-timeframe data is read with no lookahead, so a zone's price, class and statistics are fixed once its bar closes — the zones do not repaint.
🔗 Confluence Merging — no overlapping zones, ever. When two same-direction zones overlap within an adjustable ATR tolerance, they fuse into one. The order flow is re-aggregated — volumes and delta summed, buy/sell percentage and relative volume recomputed, the band re-centered on the weighted midpoint — and the zone is re-labeled Confluence FVG · H1·H2·H4 with every contributing timeframe, its strength lifted by a confluence bonus for each extra timeframe stacked in. The consolidation repeats until nothing overlaps, so the chart never stacks bands or duplicates labels: three timeframes agreeing at a level read as one stronger zone, not a cluttered pile.
📏 Universal Zone Height. Every gap is normalized to a single fixed height — ATR-based or a percentage of price — centered on the gap's midpoint. Thin gaps and wide gaps render as uniform bands, so no imbalance becomes a tall tower and the chart stays clean; the strength score, not the raw gap size, tells you which levels actually matter.
⭐ 6-Factor Strength Engine (0–10). Each zone is scored on six order-flow-native factors, every weight adjustable: Displacement (gap size versus ATR), Delta Alignment (did buying confirm a bullish gap, or selling a bearish one), Relative Volume (participation versus baseline), Flow Dominance (how one-sided the split was), Middle-Candle Body (displacement conviction), and Absorption (wick-rejection volume). The result maps to a tier word rendered inside the zone — WEAK · SOFT · FAIR · HIGH · PEAK — and to a star read on the dashboard. Read it as a confluence / cleanliness rank: how textbook the imbalance is, not a guaranteed outcome.
🎯 Shaded Zones + Order-Flow Split Bars. Each zone is a maroon (bearish) or dark-green (bullish) shaded band, opacity graded by strength, with the tier word spelled across gradient cells and a timeframe / confluence badge pinned to it. To the right of price, a two-bar order-flow split renders the bearish percentage (maroon) over the bullish percentage (dark green), and a stat label prints net delta, total volume and relative volume — so the participation behind every level is visible at a glance and factored into how it is graded.
🩶 Self-Invalidation + Filled History. Zones extend forward and re-score as price develops. The instant price mitigates a zone — by Touch, 50% fill, or full fill, your choice — it is neutralized: recolored to a muted dark-grey and frozen, so a filled level reads as spent context, never as a live signal. A history cap keeps grey levels from accumulating into clutter, and you can drop filled zones entirely for a strictly-live view.
📊 Live Multi-Timeframe Dashboard. A compact institutional panel tracks, in real time on your chart: a per-timeframe grid — active bull and bear zone counts plus directional bias for each of your three timeframes; Key Zones — the strongest zone, plus the nearest zone above and below price, each with its timeframe set and star score; Flow Pressure — aggregate FVG net delta with an ACCUM / DISTRIB regime read, live chart delta, relative volume, CVD bias and session; and running active / confluence / filled counts. It is a live read of the engine's current state on your symbol — not a backtest and not a printed statistic.
🎚️ Declutter & Conviction Controls. A tight set of dials governs how busy and how selective the chart is: Min Strength filters out weak imbalances; Merge Distance (×ATR) sets how aggressively overlapping zones fuse; Max Zones caps the live set; the mitigation rule and filled-history toggle decide how decisively price must close through a level and whether history stays; and the universal-height and flow-bar dimensions tune density. Tighten for a clean, high-conviction map; loosen for full structural context.
🎨 Clean Themed Visuals. A dark institutional palette built around maroon and dark green — the classic imbalance / order-flow color language — colors the zone bands, tier cells, flow bars, badges, labels and dashboard into one coherent look, so class and conviction read at a glance. Every zone, bar and mitigated color is exposed as an input, so you can match the scheme to your chart.
🔔 Alerts. Fires on a new bullish MTF FVG, a new bearish MTF FVG, and any new MTF FVG — formatted for manual or automated use — so you can be pinged when a fresh imbalance forms rather than watching the chart.
🔧 Fully Customizable. Every component is exposed: the three timeframes and direction toggles; the ATR / percent gap filter and ATR length; universal-height mode and size; all six strength weights, the min-strength gate and the relative-volume baseline; merge distance and confluence bonus; the mitigation rule and filled-history tone; every zone, bar and mitigated color; badge, tier-word, flow-bar and stat-label visibility and dimensions; extend length and max zones; and dashboard position and size.
🎯 Why this is different. Most FVG tools draw every three-candle gap as an identical box and leave interpretation to you — a gap that formed on violent one-sided displacement looks exactly like a thin, low-conviction one, and three timeframes worth of gaps stack into an unreadable ladder. This engine reads the order flow behind each gap, scores it 0–10 on six flow-native factors, fuses agreeing timeframes into a single labeled Confluence zone, normalizes every level to one height, re-scores it on development, and neutralizes it the instant it fills — then surfaces the whole multi-timeframe rationale on a live panel. You are looking at classified, ranked, self-invalidating imbalances with the order-flow reasoning attached, not an undifferentiated field of boxes.
🚀 Where to use it. Symbol- and timeframe-agnostic — it runs on forex, indices, metals, crypto and equities across intraday and higher timeframes. Because the score and split use volume, it is sharpest on instruments where volume is meaningful; the range-position delta model is specifically built to keep working on tick-volume instruments like gold and FX, where lower-timeframe intrabar data is unavailable, and it degrades gracefully rather than failing. Keep the chart timeframe at or below your lowest selected zone timeframe for full detail; larger timeframes yield fewer, more significant zones, smaller ones a more reactive map.
🎯 How to trade it. Apply it to a liquid instrument and let the zones and dashboard populate. Read the per-timeframe bias and Flow Pressure for the prevailing order-flow lean, and favor high-strength and Confluence zones — where multiple timeframes and the delta agree — over isolated single-timeframe gaps. Treat each zone as a decision level: plan entries on a controlled retest into the band, define invalidation by the same decisive close-through that neutralizes the zone on the chart, and manage targets against the next opposing zone or your own R model. Use Min Strength, Merge Distance and Max Zones to set chart density — stricter for a clean, high-conviction map, looser for full structure — and use the star score to focus on the cleanest imbalances.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. The order-flow read is a volume-delta estimate derived from price geometry — and, on many instruments, from tick volume — not true exchange order flow or bid/ask tape; treat it as a well-behaved approximation, not the book. The 0–10 score is a confluence / cleanliness rank that describes how textbook an imbalance is; it is not a probability or a promise of outcome, and the dashboard is a live read of the engine's current state, not a backtest or forecast. Zones confirm on closed higher-timeframe bars, so they print with the built-in confirmation lag and you should always wait for a settled level. Always pair it with higher-timeframe context, your own analysis, and disciplined risk management, and test it on your market and timeframe before trading it live. Indikator
Indikator
Confluence Reaction Zones | ProjectSyndicateConfluence Reaction Zones reads seven classic indicators as a single contrarian composite, then commits a shaded support/resistance zone only where structure and sentiment agree at an extreme. Instead of drawing yet another line at every swing, it waits for a confirmed pivot, samples the composite at that pivot, and color-classifies the level by what the composite was doing when the level formed — deep-oversold support becomes a BUY-DIP zone, overbought resistance becomes a SELL-RIP zone, and everything in between is flagged MIXED. Every zone is ranked 0–10 with a star score, re-scored on each retest, and neutralized the moment price closes through it — and a live diagnostics panel shows the full seven-signal breakdown driving the read, so you can see exactly why a zone is the color it is on the pair and timeframe you trade.
🧠 Composite Core — the central idea. Seven engines — RSI, the EMA stack (9/21/50/100/200/250), MACD, ADX/DI, Ichimoku, Bollinger Bands, and OBV — are each graded onto a 1–5 tube level, where 5 is an oversold / exhausted extreme (a contrarian BUY read), 1 is an overbought extreme (a contrarian SELL read), and 3 is neutral. The seven levels are averaged into a single 0–100 Composite: high means the market is stretched to the downside and coiled to bounce; low means it is stretched to the upside and vulnerable to fade. This is a genuine fade-the-extreme model — it leans against the crowd at the point of exhaustion, not with it.
📈 Contrarian Zone Classification — where the composite meets structure. A zone is born on a confirmed swing pivot, and its class is set by the Composite sampled at that pivot bar. A support pivot that forms while the Composite is oversold becomes a high-conviction BUY-DIP zone; a resistance pivot that forms while the Composite is overbought becomes a high-conviction SELL-RIP zone; a pivot whose structure and Composite disagree is drawn as a dimmed MIXED zone. Because pivots are confirmed and the Composite is read at the settled pivot bar, the classification is fixed once the bar closes — the zones do not repaint.
🎯 Shaded Reaction Bands + Structural Behavior. Each zone is a multi-layer, double-shaded band sized in ATR, with a center line, an inside-edge label, and a live touch counter. Bands extend forward as price develops, tally each clean retest, and re-score on every test. The instant price closes beyond the zone by an adjustable invalidation offset, the level is neutralized — recolored to a muted tone (or dropped entirely) — so a broken level reads as spent context, never as a live signal. Opacity is graded by strength, so the strongest zones sit boldest on the chart.
⭐ 0–10 Zone-Quality Score. Every zone is scored and starred across contrarian-native factors: how far the Composite was from neutral at birth (extremity / conviction), relative volume at the pivot, rejection-wick fraction at the pivot, and buy/sell pressure alignment with the zone's direction — with additional credit accruing for each confirmed retest, capped at 10. Read the score as a confluence / cleanliness rank for thinning and prioritizing zones: it describes how textbook a reaction level is, not a guaranteed outcome.
🧭 Buy/Sell Pressure Split. A rolling intrabar volume split estimates the balance of buying versus selling over a configurable window. It feeds the zone score and prints live on the dashboard as a ▲ buy / ▼ sell percentage, so the participation behind a level is visible at a glance and factored into how the level is graded.
🎚️ Declutter & Conviction Controls. A tight set of dials governs how busy and how selective the chart is: Oversold / Overbought thresholds define what counts as an extreme; a Dedupe Separation (×ATR) filter stops new pivots from stacking bands and labels on top of existing same-side zones; Max Zones caps the live set; Keep-last-N-broken caps neutralized history so gray levels never accumulate into clutter; a Show MIXED toggle hides conflicted zones for a directional-only view; and the invalidation offset sets how decisively price must close through a level to kill it. Tighten for a clean, high-conviction chart; loosen for full structural context.
📊 Live Diagnostics Dashboard. A compact institutional panel tracks, in real time on your chart: the Composite score with a fill bar; the Verdict — BUY DIPS / SELL RIPS / NEUTRAL; the buy/sell pressure split; a full signal diagnostics table showing each of the seven engines at its current tier (L1 ⇊ OVERBOUGHT → L5 ⇈ OVERSOLD), color-keyed so you see instantly which inputs are driving the composite; the active BUY-DIP and SELL-RIP zone counts; and the nearest active zone with its class, star score, and distance in ATR. It is a live read of the engine's current state on your symbol — not a printed statistic.
🎨 Clean Themed Visuals. A dark institutional palette in three schemes — Classic (teal / red / amber), Ice (cyan / pink), and Emerald (green / red / gold) — colors the zone bands, center lines, labels, dashboard, and optional candle tint into one coherent look, so class and conviction read at a glance. Candles inside a live zone are tinted to its color, and small OS / OB dots mark the exact bars where the Composite flips into an oversold or overbought extreme — the moment a fresh contrarian setup arms.
🔔 Alerts. Fires on Composite oversold / overbought flips, on BUY-DIP and SELL-RIP zone retests, and on zone invalidations — formatted for manual or automated use — so you can be pinged when sentiment reaches an extreme or when price returns to a graded level rather than watching the chart.
🔧 Fully Customizable. Every component is exposed: the seven signal parameters (RSI length/source, EMA stack, MACD lengths and MA types, ADX/DI length and tolerance, Ichimoku periods, Bollinger length/MA/source, and the full OBV rise/fall/spike model); the oversold/overbought composite thresholds and pressure lookback; pivot strength, ATR length, zone height, dedupe separation, max zones, invalidation offset, MIXED visibility, broken-zone tone and history cap; gradient fill, candle tint, extreme dots; dashboard position and size; and all three themes.
🎯 Why this is different. Most support/resistance tools draw lines at pivots and leave interpretation to you — every level looks the same whether the market was exhausted or trending into it. This engine reads seven indicators as one contrarian composite, only commits a zone where a confirmed pivot lines up with a sentiment extreme, color-codes the level by that agreement, ranks it 0–10, re-scores it on every retest, and neutralizes it the instant it fails — then surfaces the entire seven-signal rationale on a live panel. You are looking at classified, ranked, self-invalidating levels with the reasoning attached, not an undifferentiated ladder of lines.
🚀 Where to use it. Symbol- and timeframe-agnostic — it runs on forex, indices, metals, crypto, and equities across intraday and higher timeframes. Because the score and pressure split use volume (OBV, relative volume, buy/sell balance), it is sharpest on instruments where volume is meaningful and degrades gracefully where it is only tick volume. Larger Pivot Strength yields fewer, more significant zones on higher timeframes; smaller values give a more reactive intraday map.
🎯 How to trade it
Apply it to a liquid instrument and let the zones and dashboard populate. Read the Composite and Verdict for the prevailing contrarian bias, and use the signal-diagnostics table to see which of the seven engines are actually stretched.
Favor BUY-DIP zones for longs and SELL-RIP zones for shorts, prioritizing higher star scores and, ideally, a Composite already leaning the same way — a fresh OS / OB dot near a matching graded zone is the intended confluence.
Treat each zone as a decision level: plan entries on a controlled retest into the band, define invalidation by a decisive close through it (the same event that neutralizes the zone on the chart), and manage targets against the next opposing zone or your own R model.
Use Dedupe Separation, Max Zones, Show MIXED, and Keep-last-N-broken to set chart density — stricter for a clean, high-conviction map; looser for full structure — and use the star score to focus on the cleanest reaction levels.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. The 0–10 score is a confluence / cleanliness rank that describes how textbook a reaction level is; it is not a probability or a promise of outcome, and the dashboard is a live read of the engine's current state, not a backtest or forecast. Zones and their classification confirm on the closed pivot bar, so pivots print with the built-in confirmation lag and you should always wait for a settled level. Contrarian logic fades extremes and will be wrong in strong trends — always pair it with higher-timeframe context, your own analysis, and disciplined risk management, and test it on your market and timeframe before trading it live. Indikator
ApexSignalPro SMC [ForexCracked]🔵 OVERVIEW
ApexSignalPro SMC is a confluence-scored Smart Money Concepts indicator that fires a signal only when multiple institutional footprints align on the same bar. Every signal carries a live score from 0 to 5 showing how many structural conditions agree — market structure, order blocks, fair value gaps, premium/discount location, and higher-timeframe bias.
Instead of the "every crossover is a signal" approach, it uses a strict confluence gate, a range-regime filter, and forced signal alternation — far fewer signals, much higher conviction. A live dashboard shows the score, active zones, and the last trade plan at a glance.
🔵 WHY THESE COMPONENTS ARE COMBINED
A break of structure alone, an order-block touch alone, or a single fair value gap all fire often and fail often. They become far more reliable when they occur together and agree with the higher-timeframe trend. Rather than overlaying five separate tools and leaving you to judge them, this script quantifies their agreement into one 0–5 score and only trades when enough align. Three principles guide it:
• Direction comes from market structure (BOS / CHoCH), not from price crossing smoothed averages
• Entries require confluence, never a single condition
• Signals alternate (BUY → SELL → BUY), never stacking the same direction in one leg
🔵 THE FIVE SCORED FACTORS (1 point each)
1️⃣ Market structure (BOS / CHoCH) points in the signal direction
2️⃣ Price is inside an unmitigated order block
3️⃣ Price is inside an unmitigated fair value gap
4️⃣ Correct half of the range — discount for longs, premium for shorts
5️⃣ Higher-timeframe EMA bias agrees
🔵 HOW A SIGNAL FIRES A BUY or SELL prints only when ALL of these are true:
• The confluence score meets your minimum (default 3 of 5)
• A strong-bodied candle closes in that direction
• The ADX regime filter confirms trending, not ranging
• The signal is opposite the previous one (forced alternation) Each signal draws Entry, Stop (beyond the nearest order block + ATR buffer), and Take Profit (configurable R:R), with pip labels.
🔵 HOW IT READS THE MARKET
• Market structure — confirmed swing pivots; a close beyond the last pivot is a BOS, the first break against structure is a CHoCH that flips the state
• Order blocks — the last opposing candle before an impulsive displacement (body > 1.2× ATR); tracked until mitigated or aged out
• Fair value gaps — three-candle imbalances filtered by a minimum ATR size; removed when filled
• Premium / discount — the swing-range midpoint splits discount (below) from premium (above) • Regime — ADX must exceed your minimum, suppressing signals in flat ranges
🔵 HOW TO USE
• Favour score 4–5 signals; treat score 3 with extra confirmation
• Require the dashboard HTF bias to match the signal for trend-aligned entries
• Use retests of unmitigated OBs or FVGs in the trend direction as continuation entries
• Size each trade off the drawn stop distance at a fixed account risk
• Raise Min Confluences to 4 for fewer, stronger signals
🔵 RECOMMENDED SETTINGS
• Swing Length: 5
• Higher Timeframe: 240 (H4) on H1 charts, D on H4 charts
• HTF EMA: 50 · OB Max Age: 20 · FVG Min Size: 0.3× ATR
• ADX Min: 22 · Min Confluences: 3 · SL Buffer: 0.5× ATR · R:R: 2.0
🔵 BEST / WEAKEST CONDITIONS ✅ Trending majors, gold, and indices on H1–H4; London / New York overlap ⚠️ Low-volatility ranges, gapped markets, and sub-5-minute noise
⚠️ DISCLAIMER ApexSignalPro SMC structures signals from Smart Money Concepts. It does not predict future price movement. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes; not financial advice. Indikator
Smart Money Concept [martineye15]Smart Money Concepts Toolkit — an all-in-one Smart Money / ICT overlay that auto-detects and draws the core concepts on any symbol and timeframe, then ties them together with a multi-factor confluence filter and a built-in risk:reward trade planner.
WHAT IT DRAWS
- Market structure: swing pivots labelled HH / HL / LH / LL, with Break of Structure (BOS, continuation) and Change of Character (CHoCH, first counter-trend break) and a persistent trend state. An optional faster "internal" structure stream can run alongside the major one.
- Liquidity: Equal Highs / Lows (EQH / EQL) detected within an ATR-based tolerance, plus liquidity sweeps / stop hunts (a wick beyond a prior swing that closes back inside).
- Order blocks: the last opposite-colour candle before a structural break, extended until mitigated. Choose Touch or Close mitigation, wick or body range, swing or internal origin, and optional breaker blocks.
- Fair value gaps: 3-candle imbalances, extended until filled, with Touch or Close fill logic and an option to keep only unfilled gaps.
- Premium / discount: dynamic zones from the current dealing range with a 50% equilibrium line and an optional OTE band (0.62-0.79).
- Sessions / kill zones: optional Asia / London / New York shading with a configurable timezone and session times.
CONFLUENCE ENGINE (optional)
A discreet long/short marker that prints only when the factors YOU enable all agree - any combination of: price in discount/premium, a BOS/CHoCH in the trade direction, an unmitigated order block, an unfilled FVG, an opposing liquidity sweep, and higher-timeframe bias alignment via an HTF EMA. A recency window controls how fresh an event must be to still count. Signals evaluate on bar close and only on the first bar the conditions are met, so they do not spam or flip intrabar.
TRADE SETUP (Risk:Reward)
When enabled, each confluence signal draws a full plan: an entry (market at the signal close, or a limit at the order-block midpoint), a stop anchored to the order block / swing point / ATR that would invalidate the idea (plus an ATR buffer), and TP1 to TP4 placed at your chosen R multiples. Levels project forward and the lines are draggable, so you can fine-tune the plan by hand.
ALERTS
Ready-made alerts for BOS, CHoCH, new bullish/bearish order block, new bullish/bearish FVG, liquidity sweep, and confluence long/short.
HOW TO USE
Add it to a standard candlestick chart. Read the market with structure, liquidity and premium/discount; use order blocks and fair value gaps as areas of interest; then, if you want a filter, enable the confluence engine and turn on only the factors that fit your approach. Enable the trade setup to auto-draw a structure-anchored R:R plan on each signal, and set alerts on the events you care about. Every module toggles independently, so you can keep the chart as clean or as detailed as you like.
WHAT MAKES IT DIFFERENT
Instead of isolating a single SMC concept, it unifies structure, liquidity, order blocks, FVGs, premium/discount and session timing, and adds two things on top: a configurable confluence filter that only signals when multiple user-chosen factors align, and an integrated R:R planner that anchors the stop to the actual level that invalidates the trade and projects targets by R multiple.
REPAINTING & LIMITATIONS
All structural logic is based on confirmed pivots and closed candles; fair value gaps are committed only on a confirmed bar; the higher-timeframe bias uses the previous closed HTF bar. Pivots appear after their lookback (the normal pivot lag), which is not repainting. Live drawings such as order blocks and premium/discount zones update as the current, unclosed bar develops and as new pivots confirm; this is expected behaviour, not a change to confirmed history.
This is a visual, decision-support tool. It is not a strategy, it produces no orders or performance statistics, and it is not financial advice. Indikator
Smart Money Concepts Engine [Quantum Algo]Smart Money Concepts Engine
====================================================
🔶 OVERVIEW
Smart Money Concepts Engine is an all-in-one smart money concepts (SMC) indicator that unifies market structure, order blocks, fair value gaps with inversions, liquidity, and premium and discount analysis into a single engine — and then goes one layer deeper than drawing tools: it scores the confluence of everything on the chart into a transparent zero-to-one-hundred Confluence Score, and narrates the current market read in plain language on a live dashboard.
Most smart money indicators draw concepts and leave the interpretation to you. This engine interprets. At any moment the dashboard answers the questions an institutional-style trader actually asks: What is the structure doing on both tiers? Has liquidity been taken? Is price in premium or discount? Are there fresh zones nearby? How much of this stacks together right now?
🔶 WHAT ARE SMART MONEY CONCEPTS?
Smart money concepts describe how large market participants leave footprints in price: they break structure to reveal intent (Break of Structure and Change of Character), they enter from unmitigated zones of prior aggression (order blocks), they leave imbalances behind fast moves (fair value gaps), they engineer stop runs above equal highs and below equal lows (liquidity sweeps), and they favor buying in the discount half of a range and selling in the premium half. This engine detects, draws, and tracks the life cycle of every one of these elements.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. Confluence Score. A transparent zero-to-one-hundred score built from five weighted, observable conditions: swing and internal structure alignment (25), correct premium or discount positioning for the bias (25), a fresh order block near price (20), imbalance confluence (15), and a recent liquidity sweep in the supportive direction (15). Every point is explainable — nothing is a black box.
2. Narrative engine. The dashboard writes the market read as a plain-language story that updates live, for example: "Bullish structure — sell-side taken — price in discount — demand below." No interpretation gap between what the chart shows and what it means.
3. Zone life cycle everywhere. Order blocks are born fresh, brighten when tested, and are removed the moment they are mitigated — the chart only ever shows zones that still matter. Fair value gaps flip into inversion zones when violated and are removed on the second violation. Equal highs and equal lows are struck through and relabeled the moment they are swept.
4. Volume-graded zones. Every order block is labeled with the relative volume of its origin candle (for example "Demand · 1.8× Volume"), so zone quality is visible at a glance.
5. Dual-tier structure. Swing structure (Break of Structure and Change of Character with lines and labels) and internal structure (compact context markers) are tracked as two independent bias states — and their agreement or disagreement feeds the score.
6. Graded zone-tap signals. When price returns to a fresh zone while both structure tiers align and price sits on the correct side of equilibrium, the engine prints a signal stamped with the live Confluence Score. High-scoring signals are highlighted in the accent color.
7. Anti-clutter engineering. Sweep detection carries per-level memory and a cooldown so the same level can never stack duplicate labels. Every drawing family is capped by input, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW IT WORKS
Market structure: Swing highs and lows are confirmed with a symmetric pivot lookback. A candle close through a confirmed swing level prints a Break of Structure (BoS) in trend continuation or a Change of Character (CHoCH) on reversal, on both the swing tier and the internal tier. All events are evaluated on closed bars only, so structure and signals do not repaint.
Order blocks: On every swing structure break, the engine locates the origin candle of the move — the last opposite candle before the impulse — and projects it forward as a demand or supply zone, graded by the relative volume of that candle. Zones brighten on first touch and are removed when price closes through them.
Fair value gaps: Three-candle imbalances above a minimum size (measured in Average True Range) are boxed. When price closes through a gap, it flips into an inversion zone acting in the opposite direction; a second violation removes it. Gap detection runs in the background for the Confluence Score even when drawing is disabled.
Liquidity: Consecutive swing highs or lows within a tolerance form Equal Highs (EQH) or Equal Lows (EQL) — resting liquidity lines that follow price. A wick through the level with a close back inside marks a sweep: the line is struck through, relabeled, and the event feeds the score. Single-pivot stop hunts are detected the same way, with per-level memory preventing duplicates.
Premium and discount: The range between the last confirmed swing high and low is mapped into premium, equilibrium, and discount, with deeper tinting in the extreme quartiles. The dashboard reports the live position as a percentage of the range.
Dashboard: A compact, fully themeable panel shows swing bias, internal bias, last event, range position, liquidity status, fresh demand and supply counts, imbalance count, the Confluence Score with a strength meter, and the narrative. Text size, position, and every color are adjustable, and long narrative text wraps inside its cell to keep the panel compact.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. The engine adapts structure size through the swing and internal length inputs.
2. Read the dashboard top to bottom: bias on both tiers, what just happened, where price sits in the range, and whether liquidity has been taken.
3. The highest-quality condition is full alignment: both tiers agree, a sweep has occurred against the move, price trades on the correct side of equilibrium, and a fresh volume-graded zone waits nearby — exactly what the Confluence Score measures.
4. Treat zone-tap signals as locations of interest stamped with their context quality, not as automatic entries. A score above eighty means nearly everything aligns; below fifty means the setup is thin.
5. Use inversion zones as polarity flips: a violated imbalance often acts as support or resistance from the other side.
6. Fair value gap drawing is off by default for a cleaner chart; enable it in settings — the score uses gap information either way.
🔶 SETTINGS
- Swing and internal structure lengths, structure events to keep.
- Order blocks: origin candle lookback and zones to keep.
- Fair value gaps: minimum size, inversion tracking, gaps to keep (drawing off by default).
- Liquidity: equal level tolerance and levels to keep.
- Premium and discount map with adjustable extension.
- Zone tap signals and signals to keep.
- All chart colors, plus a fully themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors.
🔶 ALERTS
- Bullish / Bearish Break of Structure
- Bullish / Bearish Change of Character
- Buy-Side / Sell-Side Liquidity Sweep
- Demand Zone Tap / Supply Zone Tap (score-stamped)
- Fair Value Gap Inversion
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Structure events, sweeps, inversions, and signals are evaluated on closed bars at confirmed pivots. Pivot confirmation introduces intentional lag equal to the structure length.
What does the Confluence Score mean? It is a transparent sum of five weighted conditions, not a prediction. It measures how much of the smart money checklist is currently aligned — a context meter, not a probability of profit.
Why did an order block disappear? It was mitigated: price closed through it. The engine removes dead zones so the chart only shows levels that still matter.
Why do sweeps print only once at a level? Each swing level carries sweep memory and a cooldown, preventing the duplicate label stacking common in liquidity tools.
Which markets and timeframes work best? All markets with candle data. Higher timeframes produce larger, cleaner structures; the internal tier keeps lower timeframes readable.
🔶 CREDITS
The smart money concepts implemented here — order blocks, fair value gaps, liquidity sweeps, break of structure, change of character, and premium and discount — are trading concepts popularized by the Inner Circle Trader methodology of Michael J. Huddleston, with intellectual roots in the market logic of Richard D. Wyckoff. This script gratefully acknowledges that lineage. The confluence scoring model, the narrative engine, the zone life cycle system, the volume grading, the anti-duplication sweep memory, and all code in this script are original work
🔶 LIMITATIONS
Structure detection is only as good as the chosen pivot lengths; very noisy instruments may need larger values. Volume grading is less meaningful on symbols with unreliable volume reporting. Removed zones are not kept as historical artifacts. The Confluence Score measures alignment, not outcome. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any structure event, zone, or signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indikator
Footprint Master Pane [ZynAlgo]Overview
ZynAlgo Footprint Master Pane is an order-flow and footprint-style volume analysis indicator designed to help traders study micro-liquidity behavior inside each candlestick.
The tool displays intrabar volume-side activity as a matrix-style Footprint Profile in a separate pane. Instead of only observing open, high, low, and close movement, traders can study where buying and selling pressure appears across different price levels inside recent candles.
This can help users evaluate:
Intrabar volume concentration
Buy-side and sell-side pressure
Delta behavior inside each candle
Point of Control placement
Liquidity concentration at candle highs and lows
Potential absorption or exhaustion behavior
Chart example:
How to Read the Footprint Matrix
Each data block on the chart is displayed in this format:
Bid | Ask
Price Level
The price level represented by that row of the footprint matrix.
Bid - Left Number
Represents sell-side volume activity classified by the script for that price level.
Ask - Right Number
Represents buy-side volume activity classified by the script for that price level.
Background Color - Heatmap
The higher the volume at a price level, the stronger the heatmap intensity.
Default color logic:
Cyan: buy-side activity is dominant at that price level.
Pink: sell-side activity is dominant at that price level.
Gray: low or inactive liquidity area.
Key Highlights
POC - Point of Control
The Point of Control is the price level with the highest total trading volume within the selected candlestick.
It is displayed as the gold zone and represents the main volume concentration area for that candle.
Footer Metrics
The bottom of each footprint column displays summary data for the candle.
Delta
Delta represents the net difference between buy-side and sell-side volume activity.
A positive delta indicates that buy-side pressure is dominant. A negative delta indicates that sell-side pressure is dominant.
Total Volume
Total volume represents the combined volume activity for the entire candlestick.
Configuration Settings
1. Order Flow Engine
Intrabar Timeframe
Defines the lower timeframe used by the tool to extract intrabar volume information.
Lower intrabar timeframes can provide more detailed footprint construction, while higher intrabar timeframes may produce a smoother and lighter display.
Stack Levels - Height
Controls how many price levels each candlestick is divided into.
Higher values:
Show more footprint detail
Create a finer price-level breakdown
May increase chart processing load
Lower values:
Create a simpler footprint view
Reduce visual density
May run more smoothly on slower charts
Auto Detect Asset - Smart Grid
When enabled, the system attempts to measure the current asset's volatility and calculate an appropriate grid size automatically.
This is useful when switching between markets such as gold, crypto, forex, indices, or stocks.
Manual Tick Size
When Auto Detect Asset is disabled, users can manually define the tick or grid size.
This can be useful when a symbol requires a custom footprint scale.
2. Pane Visuals
Recent Bars to Render
Controls how many recent candles are displayed in detailed footprint form.
Limiting the number of rendered candles can help keep the chart responsive on TradingView.
Color Customization
Users can customize the colors for:
Buy-side activity
Sell-side activity
Point of Control zone
Heatmap display
This allows the footprint pane to match different chart themes and visual preferences.
Basic Analytical Applications
1. Absorption Observation
When price approaches a key support or resistance area, footprint data can help traders study whether one side of the market is being absorbed.
For example, if a bearish candle shows positive delta and large volume near the lower part of the candle, it may suggest that sell pressure is being absorbed by buy-side participation.
2. POC Migration
Point of Control migration can help traders evaluate where value is shifting across consecutive candles.
In an uptrend, POC zones that continue to migrate higher may suggest that market participation is accepting higher prices.
3. Liquidity at Highs and Lows
Traders can inspect volume activity near candle highs and lows to study exhaustion behavior.
For example, if price reaches a new high but the top levels show very low participation, that may indicate weaker continuation pressure.
How to Use
Add the indicator to the chart.
Choose an intrabar timeframe suitable for the chart timeframe and market.
Adjust stack levels to control footprint detail.
Use the heatmap to identify price levels with stronger participation.
Monitor the POC to study where volume concentration forms inside each candle.
Compare delta and total volume to evaluate buy-side or sell-side pressure.
Combine footprint observations with market structure, support and resistance, liquidity zones, and risk planning.
Best Use Cases
This indicator may be useful for:
Order-flow style analysis
Footprint chart reading
Intrabar volume analysis
Delta observation
Point of Control tracking
Absorption study
Exhaustion analysis
Liquidity-zone confirmation
Limitations
Footprint values depend on the intrabar data available from TradingView for the selected symbol and timeframe.
The Bid and Ask display is based on the script's volume-side classification logic and should be interpreted as analytical volume-side data.
Lower intrabar timeframes may provide more detail but can increase processing load.
A footprint imbalance does not guarantee price continuation or reversal.
The indicator does not provide automatic trade entries, exits, or position management.
Past order-flow or footprint behavior does not guarantee future results.
Important Note
This indicator is an analysis tool only. It does not provide financial advice, investment advice, or guaranteed trading results. Users are responsible for their own trading decisions and risk management.
Indikator
FVG + Order Block Toolkit [ForexCracked]🔷 OVERVIEW
Two of the most-watched smart money footprints on one clean chart. This toolkit auto-draws Fair Value Gaps and Order Blocks as zones, keeps only the ones that still matter, and shows a live count in a compact dashboard. Fair value gaps are drawn as soft fills and order blocks as bordered blocks, so you can tell the two apart at a glance. It is free and open-source.
🔷 HOW IT DETECTS THE ZONES
Fair Value Gaps: a three-candle imbalance. A bullish FVG is marked when the low of the current candle sits above the high of the candle two bars back, leaving an untraded gap. A bearish FVG is the mirror. Gaps smaller than your Min FVG size (measured in ATR) are filtered out so the chart stays clean.
Order Blocks: displacement based. When a candle closes with a body larger than your Displacement setting (in ATR), the toolkit marks the last opposing candle before that move as the order block. A strong bullish move leaves a bullish order block on the last down candle, and the reverse for bearish.
🔷 ZONE MANAGEMENT
Every zone extends to the right until price closes through it (mitigated) or it passes the Max zone age. That means the boxes on your chart are the ones that are still unmitigated, not old clutter.
🔷 THE DASHBOARD
A compact, positionable panel shows the live count of unmitigated bullish and bearish Fair Value Gaps and Order Blocks, plus a total. Drop it in any corner.
🔷 HOW TO USE
Treat the zones as areas of interest, not automatic trades. Watch for price to return to an unmitigated order block or fair value gap in the direction of your higher-timeframe bias, then confirm with your own analysis and use a stop. Higher timeframes produce fewer and stronger zones.
🔷 SETTINGS
Fair Value Gaps: show on/off, Min FVG size (x ATR), colours. Order Blocks: show on/off, Displacement (x ATR), OB lookback, colours. General: Max zone age, Extend right, Info panel + position.
🔷 ALERTS
New Fair Value Gap, and New Order Block.
Free and open-source. Educational tool, not financial advice. Indikator
Liquidity Profile Order Blocks [BOSWaves]Liquidity Profile Order Blocks - Impulse-Validated Order Block Detection with Embedded Net Delta Volume Profiles
Overview
Liquidity Profile Order Blocks is a pivot-anchored order block detection system that constructs supply and demand zones from impulse-validated swing events and embeds a live net delta volume profile inside each active block, where zone boundaries, profile distribution, and visual intensity are driven by measurable price displacement, volume-weighted directional flow at each price row, and real-time retest interaction rather than arbitrary candle pattern matching or static zone geometry.
Instead of identifying order blocks through isolated candle formations or fixed lookback patterns, each block requires a confirmed swing pivot followed by a displacement move exceeding a configurable ATR multiple, ensuring that only structurally significant events with genuine impulse evidence behind them generate zones. The embedded net delta profile then maps the buy and sell volume distribution across the price rows of each block using the formation candles, identifying the Point of Control and revealing whether the underlying flow within the block was predominantly buying or selling pressure at each specific level.
This creates an order block framework that combines structural detection criteria with internal participation intelligence. Each zone simultaneously shows where price pivoted with sufficient impulse to warrant attention, how volume was distributed across its price range during formation, whether that distribution was net buy or net sell dominant at each level, and how the balance is evolving as price retests the zone. When price enters an active block the visual system responds with intensified borders, brightened profile rows, and a glow effect that makes active interaction immediately identifiable.
Price is therefore evaluated not just against zones that meet structural criteria but against zones with a fully mapped internal participation profile that reveals the order flow composition of the institutional activity that created them.
Conceptual Framework
Liquidity Profile Order Blocks is founded on the principle that genuine order block zones carry two layers of evidence: a structural fingerprint in price behavior visible through pivot and impulse mechanics, and a participation fingerprint visible through the distribution of buying and selling volume across the zone's price range during its formation.
Traditional order block tools identify zones through candle pattern criteria alone and display them as uniform rectangles with no internal structure, treating all zones equally regardless of their internal flow composition. This framework adds the participation layer by building a per-row net delta profile inside each zone from the same bars that defined it, exposing how aggressively one side dominated at each price level and identifying the specific level within the zone where the greatest total participation was concentrated.
Three core principles guide the design:
Order block detection should require both a confirmed swing pivot and a measurable impulse displacement, ensuring structural and momentum criteria are satisfied simultaneously before a zone is committed.
Each zone should carry an embedded net delta profile derived from its formation bars, providing internal participation intelligence that distinguishes between zones with clean directional conviction and zones with contested or mixed flow composition.
Zone visualization should respond dynamically to retest interaction, intensifying when price is actively engaging with a block to communicate the structural significance of the current price location in real time.
This shifts order block analysis from pattern-matching zone marking into impulse-validated structural detection with embedded volume profile intelligence that reveals the institutional participation dynamics underlying each zone.
Theoretical Foundation
The indicator combines pivot high and low detection for swing identification, ATR-normalized impulse measurement for displacement validation, multi-candle zone boundary construction from formation bars, per-row volume allocation using price overlap fractions, net delta calculation across profile rows, POC identification by maximum row volume, retest interaction detection for profile updates and active state management, and a multi-layer gradient visualization system with glow intensity scaling.
Pivot detection uses configurable left and right bar requirements to identify confirmed swing highs and lows. Impulse validation measures the price displacement from pivot to the detection bar relative to ATR, filtering for only the moves with sufficient momentum evidence. Zone boundaries are constructed from the configured number of formation candles preceding the pivot, with ATR-based minimum and maximum height constraints preventing zones from being either too thin to be meaningful or too wide to be actionable. Volume allocation to each profile row is proportional to the overlap between each formation bar's range and the row boundary, ensuring volume is distributed to the price levels where it actually traded rather than assigned uniformly.
Four internal systems operate in tandem:
Impulse-Validated Detection Engine : Monitors confirmed pivot highs and lows and tests the displacement from pivot price to current close against the ATR multiple threshold, qualifying only structurally significant impulse events as order block origins.
Zone Construction and Constraint System : Builds zone boundaries from formation candles with ATR-based height clamping, manages maximum zone count by removing oldest blocks when the limit is reached, and optionally removes overlapping same-side zones to maintain a clean active zone set.
Net Delta Profile Engine : Allocates volume from formation bars to price rows via overlap-weighted fractions, tracks signed buy and sell volume per row to derive net delta ratios, identifies the POC as the maximum total volume row, and optionally updates the profile with additional volume on each confirmed retest bar.
Retest Interaction and Visual System : Monitors price entry into each zone, tracks touch count and armed state, detects mid-level confirmation for active signal generation, scales visual intensity through glow, border weight, and profile row brightness based on interaction state, and invalidates zones on configurable close or wick breach conditions.
This design ensures each zone carries both structural and participatory credentials while the visual system communicates interaction state dynamically throughout the zone's active lifecycle.
How It Works
Liquidity Profile Order Blocks evaluates price through a sequence of structure-aware and participation-tracking processes:
Pivot Detection : Swing highs and lows are confirmed when the configured number of bars to the left and right validate the pivot, identifying structurally significant turning points for impulse testing.
Impulse Validation : On each confirmed pivot, the price displacement from the pivot level to the current close is measured in ATR multiples. Displacement exceeding the configured threshold qualifies the event as an order block origin.
Zone Boundary Construction : The formation candle range spanning the configured number of bars before the pivot is used to derive zone top and bottom, with ATR-based minimum and maximum height constraints applied to ensure zone dimensions remain structurally meaningful.
Overlap Removal : When enabled, a newly created zone checks for existing same-direction zones that overlap with its boundaries and removes the oldest overlapping zone, preserving the most recently formed level.
Formation Profile Build : Each formation bar's volume is allocated to profile rows in proportion to the overlap between the bar's high-low range and each row boundary. Bullish formation bars contribute to buy volume and bearish bars to sell volume, building the initial net delta distribution across the zone's price rows.
POC Identification : The row with the greatest total volume accumulation across all formation bars is identified as the Point of Control, receiving distinct highlighting and an optional midpoint line.
Active State Monitoring : On each subsequent bar, price is tested for entry into each zone. Entry triggers a touch count increment and arms the zone for signal detection. When price closes beyond the midline in the zone direction after touching, the zone enters active state with intensified visual treatment.
Retest Profile Update : When the retest profile update setting is enabled, each confirmed bar while price is inside a zone contributes additional volume to the net delta profile, keeping the participation distribution current as the auction continues.
Visual Refresh : On every bar all active zones are redrawn with current glow intensity, border weight, profile row colors, and info box content reflecting the latest touch count, net delta percentage, total volume, and active state.
Invalidation Testing : On each confirmed bar, close or wick price is tested against the zone boundary in the opposing direction. Breach triggers zone deletion with full cleanup of all associated visual objects.
Together, these elements form a continuously updating order block system where structural credentials, internal participation profiles, and real-time retest dynamics are maintained simultaneously across all active zones.
Interpretation
Liquidity Profile Order Blocks should be interpreted as an impulse-validated structural zone system with embedded participation intelligence and dynamic interaction tracking:
Bullish Order Block (Green) : Zone formed below a confirmed swing low followed by a sufficient upward impulse, identifying a price region where buying activity concentrated before a displacement move higher.
Bearish Order Block (Red) : Zone formed above a confirmed swing high followed by a sufficient downward impulse, identifying a price region where selling activity concentrated before a displacement move lower.
Zone Body : The shaded rectangle spanning the formation candle range with gradient fill reflecting zone direction. Gradient intensity increases toward the dominant edge of the zone where institutional activity was most concentrated.
Net Delta Profile Bars : Horizontal bars centered within the zone body extending left or right from the center line to reflect net buy or net sell dominance at each price row. Longer bars indicate more decisive directional dominance at that level.
Point of Control Row : The profile row with the greatest total volume receives a distinct highlighted background and optional horizontal line, marking the price level of maximum participation concentration within the zone.
Info Box : Panel extending to the right of each zone displaying zone direction, net delta percentage across all formation volume, and total formatted volume, providing a quick quantitative summary of the zone's participation profile.
Midline : Dashed horizontal line at the zone center provides the reference level for mid-zone confirmation logic and serves as a precision target for entries and invalidation management.
Active Retest Glow : When price enters a zone after prior interaction, borders intensify, the POC line brightens, profile rows saturate, and the seam line thickens, communicating active structural engagement with immediate visual clarity.
Trend Cloud : Optional EMA fill and lines provide macro trend regime context, coloring in the bullish or bearish direction to help assess whether order block retests are occurring with or against the broader directional trend.
Zone impulse strength, net delta profile composition, POC location, touch count, and active glow state collectively provide more structural intelligence than zone boundaries alone.
Signal Logic & Visual Cues
Liquidity Profile Order Blocks generates retest confirmation signals when specific interaction conditions within active zones are met:
Bullish Retest Confirmation : Generated when price enters a bullish order block, the zone is in armed state from a prior touch, and price closes above the zone midline after having been at or below it, suggesting buying pressure is reasserting within the demand zone.
Bearish Retest Confirmation : Generated when price enters a bearish order block, the zone is in armed state from a prior touch, and price closes below the zone midline after having been at or above it, suggesting selling pressure is reasserting within the supply zone.
Both signal types require prior zone interaction to arm the zone before confirmation can trigger, filtering out first-touch reactions and focusing on the mid-level confirmation that indicates directional intent within the block.
Alert generation covers bullish and bearish retest confirmations for systematic zone-based monitoring workflows.
Strategy Integration
Liquidity Profile Order Blocks fits within institutional order flow and structural zone-based trading approaches:
POC-Precise Entries : Use the POC row within each zone as the highest-precision entry reference rather than the full zone boundary, placing entries at the level of maximum prior participation where the institutional activity was most concentrated.
Net Delta Zone Selection : Prioritize bullish zones showing net buy dominance in the profile and bearish zones showing net sell dominance, as aligned delta composition confirms that the formation volume was directionally consistent with the expected zone function.
Mid-Level Confirmation Entries : Use the midline confirmation signal as an entry trigger rather than entering on initial zone touch, waiting for price to demonstrate directional intent by closing beyond the zone center in the expected direction.
Touch Count Conviction Weighting : Assign higher confidence to zones with lower touch counts. Fresh zones with zero prior retests carry the most unmitigated institutional order potential. Zones with multiple touches have progressively absorbed more of the original order flow.
Retest Profile Monitoring : Monitor the net delta profile as it updates during retests with the Update Net Profile on Retest setting enabled. Profile composition shifting against the zone direction during a retest suggests absorption rather than continuation, warranting reduced confidence in zone integrity.
Invalidation Mode Selection : Use Close invalidation for stricter zone management that requires a full bar close beyond the boundary. Use Wick invalidation for earlier removal when any price excursion beyond the zone boundary is sufficient to consider the level structurally violated.
Technical Implementation Details
Detection Engine : Pivot high and low confirmation with ATR-normalized displacement measurement for impulse validation
Zone Construction : Multi-candle formation boundary derivation with ATR min and max height clamping and optional overlap removal
Profile System : Per-row volume allocation via high-low overlap fractions with signed net delta accumulation and maximum volume POC identification
Interaction Logic : Touch count tracking, armed state management, mid-level confirmation detection, and optional retest profile accumulation
Visual System : Multi-layer gradient zone fill, glow-scaled borders and lines, net delta profile bars, POC row and line highlighting, and info box with live metrics
Invalidation : Configurable close or wick breach detection with full object cleanup on zone removal
Trend Context : Dual EMA regime cloud with configurable fast and slow lengths for directional bias overlay
Performance Profile : Optimized with configurable maximum block count and array-based object management supporting real-time execution across all timeframes
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday order block mapping for scalping with shorter pivot length and tighter impulse threshold for responsive zone formation on smaller structural moves
15 - 60 min : Session-level institutional zone identification with balanced pivot and impulse settings producing zones aligned with meaningful intraday structural events
4H - Daily : Swing-level demand and supply zone mapping with higher pivot requirements and wider impulse thresholds reflecting larger structural displacements
Suggested Baseline Configuration:
Pivot Length : 8
Impulse Size (ATR) : 1.10
Formation Candles : 4
Remove Overlapping Same-Side Blocks : Enabled
Minimum Zone Height (ATR) : 0.12
Maximum Zone Height (ATR) : 1.20
Maximum Blocks : 6
Invalidation : Close
Profile Granularity : 12
POC Highlight : Both
Update Net Profile On Retest : Enabled
Active Retest Glow : Enabled
Show Info Box : Enabled
Show MA Fill : Disabled
Show MA Lines : Disabled
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's volatility characteristics, typical impulse behavior, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many zones forming : Increase Impulse Size to demand a stronger displacement move after each pivot, or increase Pivot Length to require more structurally significant swing confirmation before an order block qualifies.
Zones not forming frequently enough : Decrease Impulse Size toward 0.5 for more inclusive displacement qualification, or decrease Pivot Length toward 3 for faster pivot confirmation on shorter swing structures.
Zone boundaries too wide : Decrease Maximum Zone Height ATR multiplier to compress oversized zones, or decrease Formation Candles to limit the boundary range to fewer formation bars.
Zone boundaries too narrow : Increase Minimum Zone Height ATR multiplier to expand zones that are structurally too thin to provide meaningful interaction space.
Profile too granular or too coarse : Adjust Profile Granularity to increase or decrease the number of price rows, calibrating profile resolution to the zone height and the instrument's typical price movement within order block regions.
Zones invalidating too quickly : Switch Invalidation to Close mode to require a full bar close beyond the boundary rather than a wick excursion, reducing premature zone removal on temporary price spikes.
Too many zones overlapping : Enable Remove Overlapping Same-Side Blocks to automatically clean older zones when new ones form at the same area, or reduce Maximum Blocks to limit total active zone count.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear impulse moves following swing pivots where order block zones consistently align with subsequent pullback reaction levels
Liquid instruments with consistent volume where the net delta profile produces meaningful row-level participation distributions that accurately reflect institutional flow composition
Institutional zone-based trading approaches where POC precision entries and net delta filtering provide higher-quality trade framing than conventional order block boundary entries
Multi-timeframe workflows where higher-timeframe order block zones provide directional structural context for lower-timeframe entry timing
Reduced Effectiveness:
Choppy, range-bound markets where frequent small swing pivots generate overlapping zones without the sustained impulse displacement required for meaningful structural significance
Low-liquidity instruments where thin volume produces sparse net delta profiles with insufficient row-level differentiation to distinguish POC and flow composition reliably
News-driven or gap-heavy markets where impulse moves occur on discontinuous price action that distorts zone boundary derivation relative to actual institutional entry levels
Instruments with irregular volume distribution where the net delta profile loses compositional accuracy due to inconsistent participation patterns across formation bars
Extreme volatility environments where ATR-based zone constraints produce inconsistent zone sizes that do not reflect the structural significance of the underlying pivot events
Integration Guidelines
Confluence : Combine with BOSWaves momentum tools, volume analysis, or structural break indicators to validate order block retests with broader analytical context before acting on mid-level confirmation signals
Profile Composition Awareness : Treat net delta profile composition as a zone quality indicator. Zones with clean directional dominance across most rows carry higher conviction than zones with mixed or opposing flow across their price range.
POC Respect : Use the POC row as the precision reference for entry placement and invalidation management. The maximum participation level within the zone represents the most meaningful price within the block from an institutional activity perspective.
Touch Count Discipline : Reduce position sizing or confidence on zones that have been retested multiple times. Each touch consumes a portion of the original order flow that created the zone, reducing the probability of a sustained reaction on subsequent tests.
Active Glow Response : Treat the active glow state as an immediate visual alert that price is engaging with a structurally significant level. Use this as a cue to increase monitoring frequency and prepare for confirmation or invalidation rather than acting immediately on zone entry alone.
Disclaimer
Liquidity Profile Order Blocks is a professional-grade order block detection and volume profile analysis tool. It uses impulse-validated pivot detection with per-row net delta profiling but does not access true exchange-level order book data. All volume distribution and flow measurements are derived from OHLCV data and represent best-approximation estimates of institutional participation rather than actual order book information. Results depend on instrument liquidity, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, trend structure, and comprehensive risk management. Indikator
Schrodinger Zone Probability [JOAT]SCHRÖDINGER ZONE PROBABILITY
The most quantitatively ambitious indicator in the JOAT suite. Detects Fair Value Gaps and Order Blocks the way a serious SMC engine should — and then, before they are touched, treats each one as a superposition zone with two simultaneous probabilities: P_S (the probability it will act as Support when revisited) and P_R (the probability it will act as Resistance). The two probabilities sum to one. The zone exists in a superposition of both states until price actually touches it; at that moment the wavefunction collapses to a single classical state — S or R — driven by the bars-after-touch confirmation logic. Then the script tags the zone with the committed direction and archives the collapse.
Detection — FVGs and OBs done properly
Two independent zone types feed the superposition engine:
Fair Value Gaps — the standard 3-candle imbalance definition, ATR-filtered (minimum gap = configurable × ATR, default 0.30×) so only meaningful gaps qualify. Bull and bear FVGs both detected.
Order Blocks — three methods exposed:
Last Opposite — latest opposite-color candle before displacement.
Extreme Opposite — most extreme (lowest low / highest high) candle in the walk-back window.
Strict Volume — Last Opposite filtered by volume above MA.
Displacement (the move that creates the zone) requires a body of displacement ATR multiple × ATR (default 1.20×). A configurable walk-back window controls how far back to search for the OB origin. Configurable mitigation rule (Wick = any pierce, Close = bar must close beyond).
The headline math — three-factor superposition probability
The collapse probabilities P_S / P_R are computed as a weighted blend of three orthogonal factors:
Distance factor — distance from current price to the zone, decayed exponentially with a configurable half-life in ATR units (default 2.0 ATR). Closer zones have higher commit probability.
Direction factor — which side of the zone current price is on. Above the zone leans the read toward Support collapse; below leans toward Resistance.
Flow factor — EMA-slope alignment over a configurable flow window (default 20 bars). Bullish flow biases toward Support; bearish flow biases toward Resistance.
Each factor's weight is independently tunable. Defaults (0.45 distance / 0.30 direction / 0.25 flow) are the script's institutional calibration. The output is two probabilities that sum to 1.
A zone with P_S ≈ P_R ≈ 0.5 is in pure superposition — the model is genuinely undecided. A zone with P_S = 0.85 / P_R = 0.15 is in a state nearly committed to Support; the wavefunction has already partly collapsed.
Wavefunction collapse — the engine's headline event
When price enters the zone within a configurable touch tolerance (default 0.05 × ATR slack) and holds inside for the configurable holdBars window (default 3 bars), the zone collapses to a single classical state:
Collapse to S — price bounced; the zone acted as Support. Marker prints "(+)→S" at the centroid.
Collapse to R — price was rejected from the other side; the zone acted as Resistance. Marker prints "(+)→R".
A configurable connector line is drawn at the committed level. Collapsed zones are optionally archived (default ON) so the chart shows the full history of how superpositions resolved.
Visual system — superposition rendering
Vertical gradient fill — each zone is rendered as a stack of N sub-boxes (configurable, default 8 slices) with progressive transparency, creating a vertical gradient that visually communicates "high probability of support at the bottom of the zone, high probability of resistance at the top". This is the script's signature visual.
Glow border — configurable glow intensity; becomes thicker when uncertainty is high (P_S ≈ P_R).
Animated superposition pulse — for zones in pure superposition (P ≈ 0.5), transparency oscillates with bar_index to indicate undecided state. Configurable period and amplitude.
Probability labels — P_S / P_R values printed on each active zone.
Zone type tags — FVG_BU, FVG_BE, OB_BU, OB_BE so origin is unambiguous.
Collapse markers — fancy glyphs (+)→S / (+)→R or plain S / R, configurable.
Show-only-superposition mode — hide collapsed and archived zones for a minimalist view.
Right extension — zones project a configurable number of bars to the right.
A locked institutional palette (cyan-teal bull / magenta bear) gives the chart a distinctive quantum-finance identity.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Active superposition zone count and archived count.
Nearest zone with its P_S / P_R values and distance.
Last collapse direction with bars-ago.
Current flow direction.
Detection thresholds and weights in use.
Mitigation rule.
Alerts
Multiple alert conditions:
New Superposition Zone Created (FVG or OB)
Collapse to Support
Collapse to Resistance
Approaching Zone (within collapse-touch tolerance)
High-Uncertainty Zone formed (P_S ≈ P_R ≈ 0.5)
How to read it
Three reads, in order of conviction:
Collapse alert with extreme one-sided probability — e.g. a zone with P_S = 0.85 collapses to S. The model was confidently pointing at one outcome, and the market confirmed it. The highest-conviction confluence read the script produces.
Approaching a zone with sharp probability bias — when P_S or P_R is dominant before touch, the model is committed to one direction. Position toward the dominant side; if the collapse confirms, you are in early.
High-uncertainty zone (P ≈ 0.5) — stand-aside signal. The model is genuinely undecided; trade only with strong external confluence (HTF structure, news flow) or skip the zone entirely.
Suggested settings
Defaults (FVG ATR 0.30×, displacement 1.20×, OB Last-Opposite, 15-bar walk-back, weights 0.45 / 0.30 / 0.25, half-life 2.0 ATR, 3-bar hold) are tuned for 15m–4H on liquid markets. For lower timeframes drop displacement to 1.0× and hold to 2. For HTF raise FVG ATR to 0.50× to keep only large gaps. The weights are calibrated together — change one and the others rebalance the probabilities; experimenting with the weights is a legitimate way to specialise the script to your instrument.
Originality
The implementation — the dual-source zone detector (FVG + OB) with three OB methods, the three-factor probability blend (distance / direction / flow) with independent weights, the exponential ATR-halflife distance decay, the touch-with-hold collapse-confirmation state machine, the vertical-gradient zone render using N stacked sub-boxes, the uncertainty-modulated glow border, the animated superposition pulse for high-uncertainty zones, the archive-on-collapse logic, and the dashboard's probability-aware layout — is JOAT-original. No third-party code reused. The Schrödinger framing (superposition → collapse) is the original conceptual contribution; the math is purpose-built.
Limitations
The "probability" output is a heuristic blend of three factors that historically correlate with which side a zone acts as — it is a ranked confidence, not a true Bayesian posterior. The factor weights are exposed precisely because no single weighting is universally correct. The collapse confirmation requires the holdBars window to elapse, so collapse markers lag the actual touch by that window (intentional — single-bar pierces should not commit a zone). The animated pulse for high-uncertainty zones is purely visual.
-made with passion by jackofalltrades
Indikator
Master Filter - Trend and Smart Money ZonesOverview
Master Filter combines a proprietary trend engine with the smart-money tools traders actually act on - EMA structure, Fair Value Gaps, Order Blocks and market-structure labels - in a single, clean overlay. Instead of stacking five separate indicators, you get one consistent read of where the trend is and where price is likely to react .
Everything is computed on the current chart timeframe and updates live as new bars form.
What's inside
1. The Master Filter © - trend & signals
A triple-smoothed price baseline (TEMA) is tracked against an adaptive average that follows the highs in an uptrend and the lows in a downtrend. An ATR-based channel (length 365 x multiplier, smoothed) acts as a confirmation filter that aims to suppress false flips during chop. When direction confirms, the script prints a LONG / SHORT marker on the bar. You can optionally plot the high / middle / low channel lines.
2. EMA suite + smoothed mirrors
EMA 100 / 200 / 300 / 365 for trend context, with a shaded zone between the 300 and 365 EMAs. Two optional "mirror" EMAs (a smoothed reflection of the 200 and 365) project the opposite side of price to frame mean-reversion zones.
3. Fair Value Gaps (current timeframe)
Three-bar imbalances are drawn as boxes with a dashed mid-line and tagged with the chart timeframe. Live gaps extend to the current bar and are removed automatically once price trades back through them (mitigation). A "max visible" cap keeps only the most recent gaps.
4. Order Blocks (current timeframe)
SMC-style order blocks are detected on structure breaks (price closing through the last swing high/low). The OB candle is selected within a bounded search window, with a volatility filter so an oversized, high-range bar isn't mistaken for the block. Each OB is drawn as a box plus dashed mid-line, kept per direction up to a configurable limit, and dropped on a strict break. A "max pivot age" setting skips stale blocks far from current price during strong trends.
5. Market structure - HH / HL / LH / LL
Swing pivots are labelled as Higher High / Higher Low / Lower High / Lower Low (teal for higher, orange for lower) so structure shifts are visible at a glance.
How to use
Read the trend from the LONG/SHORT markers and EMA stack; trade with it.
Use FVG and Order Block zones as areas to look for entries, partial exits or invalidation - not as automatic buy/sell signals.
Confirm with HH/HL/LH/LL: continuation favours trend-aligned zones; a structure break warns of a possible shift.
Settings
Grouped by section - Main trend (length, multiplier, channel filter, plot channel), Moving Average (EMA lengths, mirrors, smoothing), Fair Value Gaps (show, max visible, colours), Order Blocks (show, max per side, search/structure length, max pivot age, colours), and HH/HL/LH/LL (show, swing length, lookback).
Alerts
Change of the trend - fires when the Master Filter direction flips.
Notes
This indicator is a decision-support tool, not a signal-for-hire system. It does not place orders and past behaviour does not guarantee future results. Always combine it with your own risk management.
Indikator
Strong Supertrend Engine | ProjectSyndicateStrong Supertrend Engine maps the session around a Supertrend trend-stop and power-ranks the with-trend zones where price is most likely to continue, not reverse. Every session it reads one decision from the prior completed session's daily Supertrend — is the session open above the Supertrend a green, buy-only regime or below it a red, sell-only regime — and then projects an ATR-scaled ladder of reaction zones around the session open. On top of the zones it draws the session's best continuation setups as zone-to-zone arrows: in a green regime it points up from a pullback zone to a target zone; in a red regime it points down from a rally zone to a target below. The whole tool runs on one idea: trade dips with the trend, not against it — buy dips into support while the Supertrend is green, sell rips into resistance while it is red, and favor the stronger-graded zones.
This is the inverse of a fade tool. Across a broad multi-instrument study FX majors and crosses, gold and an index, fading stretched levels back to balance behaved like a coin flip, while with-trend pullback entries were the side that carried a modest, repeatable edge. Strong Supertrend Engine is built around that side.
🟢🔴 Summary how to trade this more details below, read entire guide. Best trade setups with this system is to buy dips, arrows highlight best entry zones / prices when price is trading above green ST zones. Likewise, sell rips, arrows highlight best entry zones on sell side / when price is trading below red ST zones. Detailed overview below. Run on lower TFs for best entries, i.e.
M5 M10 M15 M30.
🟢🔴 The Supertrend Regime the master switch — The session open versus the daily Supertrend sets the only bias that matters. Open above the Supertrend ⇒ the core stop band renders green and the engine shows BUY-ONLY setups buy the dips. Open below ⇒ the band renders red and the engine shows SELL-ONLY setups sell the rips. A close back through the Supertrend flips the regime and recolors everything. You never fight the band: green means look for longs, red means look for shorts.
🧲 The Session Basis auction center — Each session's zone ladder is anchored to the session open by default Prior HL2, OHLC4 or Close optional. Price spends the day auctioning around this basis, so the inner zones sit exactly where price actually trades and the outer zones mark a genuine stretch. The basis is also the natural first reference a with-trend pullback works back through.
📊 ATR-Scaled Zone Ladder — Five escalating tiers are projected above and below the basis at calibrated ATR offsets 0.12, 0.25, 0.40, 0.55, 0.75 × ATR by default, drawn as clean equal-height shaded bands. The spacing is deliberately pulled in to where price genuinely travels intraday a typical session covers roughly half an ATR from the open, so the inner tiers get tagged often and the outer tiers mark the real extremes. A global width multiplier and per-tier offsets let you reshape the geometry for any instrument or timeframe.
ES
🟩 The Core Supertrend Stop Band — The actual daily Supertrend value is drawn as a bold band — green support in an uptrend, red resistance in a downtrend. It is the trend's hard line: the trade thesis holds while price stays on the correct side of it, and a close through it is the regime flip and the natural hard stop.
🏷️ 0–10 Strength Grade & In-Zone Labels — Every zone carries a live 0–10 grade inside the band — the tier name with a ▲ / ▼ side marker, stars, the X.X/10 score and a tier word FORMING → WEAK → MODERATE → STRONG → ELITE. The grade blends tier extremity, volatility context, trend regime and with-trend alignment so the with-trend side is favored. Read it as a descriptive conviction ranking for which zone deserves attention — it is not a backtested win-rate.
WTI
🏹 Continuation Setup Arrows the signature feature — For the last N sessions, the engine selects the best 2–4 with-trend setups per session and draws each as a zone-to-zone arrow that spans several zones 3 by default, so each arrow shows a meaningful directional trade, not a one-tier hop. In a green regime arrows run up from a pullback/dip zone, through the open, to a target zone above; in a red regime they run down from a rally/rip zone to a target below. Each arrow is labeled with the entry→target zones, the R multiple of the move, and a star grade. Setups are ranked by regime strength + momentum alignment + clean pullback depth, so the strongest, best-located trades surface first.
📈 Laguerre PPO Momentum Confluence — A daily, non-repainting Laguerre PPO reads whether momentum agrees with the regime. It boosts the score of aligned setups and can be set as a hard filter so only momentum-confirmed setups print. Up-momentum strengthens buy-dip setups in a green regime; down-momentum strengthens sell-rip setups in a red regime.
BTC
⚙️ Uniform ATR Zone Height — Every tier shares one identical ATR-based thickness, centered on its level, for a clean, consistent look on any symbol or timeframe.
🎨 Regime & Strength Shading — Stronger zones render more opaque, weaker ones stay faint, and counter-trend zones are dimmed so the actionable with-trend side pops. Resistance tiers shade red, support tiers green, the core stop green/red by regime, and the arrows green for buys, red for sells. Arrow labels use black text for crisp readability on the colored tags.
🔒 Non-Repainting — Each session's regime, basis, zones, scores and arrows lock in from the completed prior session read with a confirmed offset and never change intraday. Zones span exactly one session and close cleanly at the boundary — no bleed into the next session. The last N sessions are kept default 10 and older ones are removed automatically.
Silver
📋 Live Dashboard — A compact panel reports the current Regime BUY-ONLY / SELL-ONLY, Momentum up / down, the number of setups this session, the Trend, the Supertrend stop price, ATR, the distance from price to the stop in ATR, and the trend age in sessions.
🔔 Native Alerts — Dedicated Buy Continuation Setups and Sell Continuation Setups alerts the moment a new session's setups print, plus zone-touch, strong-zone, extreme-tier, core-stop-tag and Supertrend-flip alerts.
🔧 Fully Customizable — Supertrend ATR length and factor, basis source, the five tier offsets and global width multiplier, zone thickness, the four scoring weights and their lookbacks, the score filter, the Laguerre fast/slow gammas and momentum-filter toggle, arrow count 2–4, arrow span zones, spacing, width, colors and labels, dashboard position/size, transparency and shading — all adjustable.
DAX
🎯 Why this is different — Most band tools draw static envelopes and leave you guessing which edge matters, and most "tops & bottoms" tools quietly ask you to fade strong moves. Strong Supertrend Engine does the opposite: it frames the session as a trend defined by the Supertrend, refuses to show counter-trend trades, and hands you the session's best with-trend continuation setups as labeled arrows from zone to zone. You read the regime green/red, the destination the arrow's target zone, and the conviction the score at a glance.
🚀 Apply to Gold XAUUSD, Silver, Forex, Crypto and Indices on any intraday timeframe.
🎯 How To Trade It — Two Approaches
Everything hinges on the regime: green Supertrend = buy dips only, red Supertrend = sell rips only. Never fade the band. Use the stronger-graded zones and the printed arrows to pick the best-located entry.
◾ 1 BUY DIPS in a Green Supertrend Regime — open above the green ST
This is the engine's core long thesis. The session open is above the green Supertrend, so the regime is BUY-ONLY and buy arrows point up from the dip zones toward higher targets.
▪️ Setup: wait for price to pull back / dip into a support zone below the open — prefer the stronger-graded zones higher score / more stars, ideally one a buy arrow points up out of, with Laguerre momentum up.
▪️ Entry: long on the dip into the zone, in the direction of the green regime the with-trend bounce.
▪️ Stop: below the entry zone — one tier deeper — with the green core Supertrend stop as the hard invalidation. A decisive close below the green ST flips the regime; the long thesis is then wrong, stand aside.
▪️ Targets: step up zone to zone toward the arrow's target each arrow spans ~3 zones — through the open into the upper tiers, banking partials at each tier and trailing with the trend.
⚖️ The cleanest version: price opens above a rising green Supertrend, dips into a STRONG/ELITE support tier, holds, and rotates back up through the open into the upper tiers — exactly the leg the arrow frames. The deeper-but-still-graded dips offer the better risk; the shallow ones trigger most often.
◾ 2 SELL RIPS in a Red Supertrend Regime — open below the red ST
The mirror image. The session open is below the red Supertrend, so the regime is SELL-ONLY and sell arrows point down from the rally zones toward lower targets.
▪️ Setup: wait for price to rally / rip into a resistance zone above the open — prefer the stronger-graded red zones higher score / more stars, ideally one a sell arrow points down out of, with Laguerre momentum down.
▪️ Entry: short on the rip into the zone, in the direction of the red regime.
▪️ Stop: above the entry zone — one tier higher — with the red core Supertrend stop as the hard invalidation. A decisive close above the red ST flips the regime; stand aside.
▪️ Targets: step down zone to zone toward the arrow's target through the open into the lower tiers, banking partials and trailing the move.
Rule of thumb: ⭐ Green Supertrend, open above it → buy dips into the stronger support zones, target the arrow's zones up. ⭐ Red Supertrend, open below it → sell rips into the stronger resistance zones, target the arrow's zones down. ⭐ When price closes through the Supertrend, the regime flips — wait for the new side before taking the next trade.
EURUSD
⚠️ IMPORTANT NOTICE: Strong Supertrend Engine frames a Supertrend-defined trend and ranks the best with-trend continuation setups. The 0–10 score is a descriptive conviction ranking, not a backtested win-rate, and the with-trend edge measured in study was modest — these zones and arrows are decision support, not a standalone trade trigger. Always combine them with your own strategy, price-action confirmation and risk management. Past behavior does not guarantee future results. Indikator
Flops - OrderblocksDescription
The Advanced Flops - Orderblock indicator is a sophisticated, algorithmic supply and demand tracking system. It dynamically identifies trend-following institutional structures by detecting "Flops" (often known as Orderblocks) in real-time, visualizing exact areas where momentum aggressively shifted.
Instead of relying on a rigid, single-candle definition, this engine operates on a multi-timeframe perspective natively. It simultaneously evaluates 1-Candle, 2-Candle, and 3-Candle breakout logic on every single bar to validate structural breaks and paint flawless institutional supply/demand zones on your chart.
🎯 How It Works: The 1, 2, 3 Logic
The engine evaluates the market looking for a sequence of momentum candles that break structure against the previous opposing candle. By running the 1, 2, and 3-candle logic simultaneously, the script guarantees it catches both immediate V-shape reversals (1-candle) and slower, grinding structural breaks (3-candle) without drawing overlapping or duplicated zones.
Bullish ( Flops - Orderblock ): Formed when the price forcefully breaks the high of the last bearish candle. This indicates newly created demand.
Bearish ( Flops - Orderblock ): Formed when the price forcefully breaks the low of the last bullish candle. This indicates newly created supply.
✨ Key Features
Simultaneous Multi-Candle Logic: Runs three independent sequence checkers at the exact same time to ensure no valid Orderblock is ever missed.
Dynamic Mitigation Engine: Active zones project forward indefinitely into future price action until they are touched or closed through (customizable).
Single Mitigated Memory: A sleek visual feature that automatically deletes old, invalidated zones. It keeps only the absolute last mitigated zone on your chart to show you the most recent point of failure, without cluttering your screen with historical noise.
Trend Deactivation: The script understands market structure. If the dominant trend fully flips (e.g., from Bullish to Bearish based on a 3-candle sequence), all opposing active ( Flops - Orderblock ) zones are immediately deactivated and labeled as "Trend Flip", preventing you from taking trades against a confirmed structural shift.
Boundary Customization: Choose exactly how you want your Orderblock zones measured—either wick-to-wick (High/Low) or body-to-body (Open/Close).
⚙️ Settings
Flop Boundary: Define zones using full Wicks or strictly Candle Bodies.
Mitigation Mode: Choose whether a zone is invalidated the moment a wick "Touches" it, or only when a candle "Closes" fully through the zone.
Show Only Last Mitigated Flop: Keep your charts clean by automatically erasing old mitigated lines and only leaving the single most recent mitigated Orderblock on the chart.
Deactivate on Trend Flip: Automatically invalidate all active supply zones if the macro trend shifts bullish (and vice versa).
Full Visual Control: Customize colors, line widths, line styles (solid, dashed, dotted), and label visibility to fit your exact chart aesthetic. Indikator
Indikator
Liquidity Map & Order Blocks [MQLSoftware]Liquidity Map & Order Blocks reads swing structure into a density map of where stop-liquidity rests, then projects which pool price is most likely drawn toward next. Equal highs and lows are grouped into bands whose brightness scales with a multi-factor Liquidity Score, sweeps mark where those pools were hunted, and a forward-looking model expresses the most likely draw as a self-calibrating historical hit-rate rather than a fixed number. A compact right-side panel adds chart and higher-timeframe structure, the net liquidity pull, the draw target, and pool counts.
This is a visual analytical tool intended for chart reading and liquidity mapping. It does not execute trades and does not provide financial advice. It does not generate buy or sell signals and makes no claim about profitability or win rate. The draw percentage describes how often similar pools were reached in the past over the loaded data; it is a descriptive statistic, not a prediction, and past behavior does not guarantee future results.
Key Features
Resting liquidity drawn as density bands from ATR-normalized clustering of equal highs and lows, so nearby levels merge into one pool instead of a stack of lines
Band brightness driven by a Liquidity Score that blends a saturating touch count, age decay, relative volume at the forming pivots, and rejection-wick depth
Draw on Liquidity projection: a directional arrow to the pool with the strongest modelled pull, muted automatically when the model's confidence is low
Draw percentage shown as a self-calibrating empirical hit-rate — how often pools of a similar profile were actually reached over the loaded history, marked provisional while the sample is thin
Sweep detection when price wicks beyond the last significant swing and closes back within it, with recent sweeps labelled and older ones marked compactly
Protected-swing structure engine marking Break of Structure and Change of Character, with an optional plain-language label mode
Order blocks drawn only when they originate a Break of Structure, plus an optional Fair Value Gap layer; both fade once mitigated
Multi-timeframe panel with chart and higher-timeframe bias, liquidity pull, draw target with its hit-rate, and pool counts, read non-repainting
Core Concept
Most liquidity and order-block tools on TradingView take one of two approaches. They either draw raw equal-high / equal-low lines and mark every order block and gap without ranking them, which clutters the chart and leaves the reader to judge which level matters, or they label structure (swings, breaks of structure) without projecting where liquidity is likely to pull price next. Both stop short of a scored, forward-looking read.
This indicator builds on a different base: cluster swing levels into scored density bands, gate order blocks by structure, and add a model for the next likely draw that is calibrated against realized history. It adds three specific algorithmic elements on top of that base.
1. ATR-Normalized Liquidity Clustering with a Multi-Factor Score. Swing highs and lows are not drawn as individual lines. They are grouped along the price axis by a clustering pass whose merge distance scales with ATR, so equal-ish levels collapse into a single pool and the behavior stays consistent across instruments. Each pool carries a Liquidity Score built multiplicatively from a saturating touch count, an age-decay term, relative volume at the forming pivots, and rejection-wick depth, so a band's brightness reflects how heavy and how fresh the resting liquidity is rather than only how many times the level was touched.
2. Draw on Liquidity Projection. Each unmitigated pool is treated as an attractor. Its pull is the product of its Liquidity Score, an exponential proximity kernel in ATR units, a structural prior that favors pools lying in the trend's continuation direction relative to current price, and a path-clearance term that discounts a pool when other strong pools sit between it and price. The strongest-pull pool is projected as the draw target, and the projection is deliberately muted when confidence is low, so a weak draw never reads like a strong one.
3. Self-Calibrating Empirical Hit-Rate. The draw percentage is not a fixed weight. Each draw is profiled into a bucket defined by Liquidity Score, distance, and structural alignment, and as the chart's history is processed the script records how often pools of that profile were actually reached within a configurable horizon. The displayed figure is the empirical reach frequency of that bucket, smoothed with a weak prior so thin samples are shown as provisional rather than over-read. It calibrates per symbol and timeframe with no fixed accuracy claim attached.
Anatomy of the Display
Liquidity bands are the horizontal zones spanning each pool, colored for buy-side (above) and sell-side (below) liquidity; the brighter a band, the higher its Liquidity Score. Swept pools dim to grey so a hunted level is visually retired.
The draw projection is the arrow from current price to the strongest-pull pool, with a price-side chip and an arrowhead pointing the modelled direction. Its weight scales with the hit-rate: a high-confidence draw is bold, a low-confidence one is thin and faded. The label reads the target level, the hit-rate (shown as a provisional `~NN% (n…)` while its sample is small), and whether the pool is buy-side or sell-side liquidity.
Sweeps mark a stop-hunt of the last significant swing: a wick beyond it that closes back within. The two most recent are labelled; older ones are compact marks so the chart stays clean.
Structure is drawn as Break of Structure and Change of Character lines from a protected-swing state machine; a toggle renders these in plain language (Trend break / Reversal) for readers new to the terminology.
Order blocks are the boxes drawn at the last opposite candle before a Break of Structure, so only structure-originating blocks appear; the optional Fair Value Gap layer marks three-candle imbalances aligned with the break. Both fade once price mitigates them.
The right-side panel lists chart structure, the net liquidity pull and its strength, the draw target with its hit-rate, pool counts per side, and a per-row higher-timeframe bias scan with a strength bar.
Multi-Timeframe Panel
The panel reads three higher timeframes of your choice for structural bias and trend strength, using the same protected-swing engine as the chart. Higher-timeframe values are read with `lookahead=barmerge.lookahead_off` and a one-bar offset, which is the standard non-repainting pattern for higher-timeframe context. A divergence between the chart's structure row and the liquidity pull is informative rather than contradictory: structure up while the draw points down with a high hit-rate, for example, frames an expected pullback toward a strong pool below.
Notes on Repainting
Confirmed liquidity pools, sweeps, structure breaks, and order blocks do not repaint. They are built from confirmed pivots (`ta.pivothigh` and `ta.pivotlow` with a right-bars parameter), so once committed they stay anchored.
Pivot detection has an inherent delay equal to the right-bars parameter (default 3 bars). The most recent swing is provisional until that many bars close past it. This is a property of all pivot-based indicators, not specific to this script.
The draw percentage is a learning statistic. It updates as the script accumulates observations over the loaded history. This is not a repaint of historical bars; the same bar can show a different figure when the chart is reloaded with a different amount of history, because more or fewer observations are available.
Mitigation is one-directional. Once an order block or gap is mitigated it stays marked as such.
Multi-timeframe panel data uses `lookahead=barmerge.lookahead_off` with a one-bar offset, the canonical non-repainting pattern for higher-timeframe context.
Alerts are gated by `barstate.isconfirmed` and fire once per closed bar, never intra-bar.
Typical Analysis Workflow
A common analytical workflow may include:
Reading the band map to see where the heaviest resting liquidity sits above and below price, with brighter bands as the higher-quality pools
Reading the draw projection as a hypothesis for where liquidity may pull price next, weighting it by its hit-rate and whether it aligns with structure
Noting sweeps as stop-hunts that often precede a move, and watching whether price reclaims or rejects the swept level
Treating order blocks as origin zones for the move that broke structure, and the panel's higher-timeframe rows as top-down context
Reading a structure-versus-pull divergence as a possible pullback rather than a contradiction, then managing any decision with other forms of analysis and risk management
Configuration
Structure Engine - ATR length, pivot left / right bars, and the swing filter that sets how significant a swing must be. Right Bars also sets the confirmation delay.
Liquidity Pools - lookback, cluster epsilon (how aggressively levels merge), minimum touches, age half-life, and whether volume contributes to the score.
Draw on Liquidity - proximity, structural prior strength, path clearance, the empirical-calibration toggle, and the calibration horizon.
Sweeps & Structure - sweep penetration, show sweeps, show structure, and the plain-language label toggle.
Order Blocks / FVG - show order blocks, show gaps, the order-block scan window, and the maximum number of boxes.
Visuals - colors for buy-side and sell-side liquidity, draw target, and structure, plus a minimum band height so pools read as bands rather than threads.
Multi-Timeframe HUD - show / hide the panel, the three higher timeframes, and panel position.
Markets and Timeframes
The indicator can be applied across multiple markets and timeframes:
Cryptocurrencies
Forex
Stocks and Indices
Commodities
Because the clustering distance, proximity kernel, and score are all ATR-based, the visual behavior stays consistent across instruments and timeframes. The volume component of the Liquidity Score contributes most on instruments with reliable volume (crypto, futures, equities) and falls back gracefully where volume is thin. The empirical hit-rate reads best on charts with enough history for its buckets to fill.
Alerts
Buy-side liquidity swept - fires when a buy-side pool's level is hunted
Sell-side liquidity swept - fires when a sell-side pool's level is hunted
Bullish Break of Structure - fires on a confirmed upside structure break
Bearish Break of Structure - fires on a confirmed downside structure break
All timeframes bullish - fires when every higher-timeframe row is bullish
All timeframes bearish - fires when every higher-timeframe row is bearish
All alerts evaluate on confirmed bars to avoid intra-bar oscillation. Indikator
SICK MODE [erdensedat]Welcome to SICK MODE, the most comprehensive all-in-one Smart Money Concepts (SMC) and Liquidity tracking suite designed for serious traders. This indicator eliminates chart clutter by unifying the most powerful institutional trading concepts into one highly customizable and dynamic script.
Whether you are a day trader, scalper, or swing trader, SICK MODE continuously scans the market to provide you with actionable setups, dynamic bias shifts, and high-probability points of interest (POIs).
Here is a complete breakdown of everything SICK MODE offers and how it helps you build a solid trading setup:
🔥 Core Features & Setup Generators
1. Dual-Layer Market Structure (BOS & CHoCH)
What it is: SICK MODE tracks both Internal (minor) and External (major) Market Structure simultaneously.
How it helps: It automatically labels Break of Structure (BOS) and Change of Character (CHoCH). Internal structure (dashed lines) helps you find early entries, while external structure (solid thick lines) keeps you aligned with the higher timeframe macro trend. It also identifies Strong and Weak swing highs and lows, so you know which levels are likely to hold or be swept.
2. Advanced Liquidity Engine (BSL, SSL, IDM & Turtle Soup)
What it is: Identifies Buy-Side Liquidity (BSL), Sell-Side Liquidity (SSL), and Inducement (IDM) levels.
How it helps: Instead of cluttering your chart with endless lines, it keeps only the most relevant (default 3) liquidity levels. When a level is swept and price reverses, it signals a Turtle Soup (X / TS) entry, giving you a high-probability reversal setup.
3. Next-Gen Fair Value Gap (FVG) & Raid Engine
What it is: A highly advanced FVG detection system that completely removes overlapping noise.
How it helps: It plots precise bullish and bearish imbalances, with options to show mid-lines and extend mitigated gaps. The best part? The Display Raids feature automatically detects when an FVG is pierced (raided) to trigger a quick scalp reversal, printing a precise "x" marker.
4. Institutional Order Blocks & Rejection Blocks
What it is: Detects highly specific Order Blocks (OB) and Rejection Blocks (RB/Wick Blocks).
How it helps: When price mitigates an Order Block, it automatically shifts to a Breaker Block (BB) or Mitigated Block (MB), changing color to let you know the liquidity has been transferred. It actively looks for retests, giving you sniper entry zones.
5. SMT Divergence (Smart Money Tool)
What it is: Automatically compares the current asset with a correlated ticker (e.g., comparing NQ with ES).
How it helps: If the current asset makes a Higher High but the correlated asset makes a Lower High, SICK MODE draws an SMT Divergence line. This is a massive institutional footprint indicating underlying weakness or strength before a reversal.
6. Automated Support & Resistance Engine
What it is: A dynamic S/R system that counts multiple touches on a specific price level.
How it helps: The more price touches a level, the thicker the S/R line becomes. If the level is broken with conviction, the line is removed. Perfect for spotting retail liquidity buildups.
7. Sessions, Killzones & Daily Open
What it is: Highlights Asia, London, and NY Killzones, plus the essential New York Midnight Open line.
How it helps: It tracks unbroken Session Highs and Lows for up to a user-defined amount of days. The dashboard will automatically calculate the distance and show you the "Next Session Target", acting as a magnet for your Take Profits.
8. Advanced Live Dashboard
What it is: A sleek, non-intrusive HUD panel.
How it helps: Instantly gives you the ultimate top-down view:
Current Bias & HTF Bias: (Bullish / Bearish / Neutral)
Active Session: Tells you what session you are in or waiting for.
Next Target: The closest unmitigated session high/low.
Last Action: Prints the exact last institutional event (e.g., "Bullish Sweep/TS", "Bearish FVG Created").
Setup Info: Gives you a direct instruction (e.g., "Look for lows to take LONG").
9. Comprehensive Alert System
What it is: Never miss a setup with built-in dynamic alerts.
How it helps: Set alerts for OB Creation, OB Retests, FVG Creation, FVG Raids, Rejection Blocks, and Turtle Soup (Sweep) triggers straight to your phone or PC.
💡 How to build a setup using SICK MODE?
Check the Dashboard: Ensure your Current Bias and HTF Bias align.
Wait for a Liquidity Purge: Look for a BSL/SSL Sweep or an FVG Raid signal (X).
Confirm the Shift: Wait for a minor (Internal) CHoCH to form in your intended direction.
Enter on Mitigation: Enter on the newly formed Order Block (OB), Rejection Block (RB), or FVG.
Target: Use the "Next Session Target" from the Dashboard or unmitigated liquidity lines for Take Profit.
⚠️ DISCLAIMER:
This Pine Script® indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Trading in the financial markets (including forex, crypto, stocks, and commodities) involves a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research, use proper risk management, and consult with a certified financial advisor before making any real-money trading decisions. The author assumes no responsibility for any financial losses incurred while using this script. Indikator
