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. Penunjuk
Penunjuk
Penunjuk
EQH/EQL Liquidity Sweep | AlphaScript⚖️ EQH/EQL Liquidity Sweep
Detects clusters of equal highs (EQH) and equal lows (EQL) the resting-liquidity pools that price hunts and tracks exactly what happens to each one: swept, broken, or still active. Then it measures the real sweep rate so you can see your actual edge.
🎯 Why equal highs and lows matter
When price makes a high, pulls back, then makes another high at the same level, stops pile up just beyond that level — breakout orders, protective stops, resting liquidity.
The more times price taps the same level, the more orders accumulate there. Those pools are what larger participants hunt. This tool maps them automatically and then tells you whether each pool got raided or genuinely failed.
🔍 How pools form
The indicator finds swing highs and lows, then groups any that sit within a configurable tolerance of each other into a single pool.
A pool needs at least a minimum number of touches (default 2) to display. The pool line is drawn at the extreme of the cluster — the highest of the equal highs, or lowest of the equal lows — because that is where the stops actually rest. A small × marks each individual swing that built the pool, and the line thickness and badge show the touch count.
Each pool resolves in one of these ways:
⚡ SWEPT — price wicks through the pool extreme but the bar closes back on the original side. Stops were taken, but the level held on a closing basis. A liquidity raid.
💥 BROKEN — a bar closes through the pool extreme. The level genuinely failed — continuation, not a raid. Breaks are shown separately and never labeled as sweeps.
🛡️ Active — the pool has neither been swept nor broken and is still in play. Pools that go too long without resolving expire and are removed.
First qualifying event wins: one outcome per pool. If a bar both wicks through and closes through, it counts as a break — a close through the level can never be a sweep.
📊 Sweep-rate table | know your real edge
This is what separates the tool from every other equal-highs indicator: instead of just drawing levels, it measures what actually happens to them. The table breaks down every resolved pool by touch count (2 / 3 / 4+) and shows the real sweep and break percentages for each group — computed live from your own instrument, timeframe, and history.
That means you can answer the question that matters before taking a trade: do the pools you're watching actually get swept, or do they break? If 3-touch pools on your instrument sweep far more often than they break, that's a measured edge you can trade around. If 2-touch pools are a coin flip, you know to demand more confluence. The numbers come from the chart, not from a claim on a marketing page.
Only fully resolved pools are counted, active pools are excluded, so the rates can never be inflated by in-progress levels. The denominator is honest: what you see is what actually happened.
⚙️ Settings
-Swing lookback, and equal tolerance in ATR multiples (instrument-independent) or fixed ticks.
-Minimum touches to form a pool, maximum pool age, and how many active pools to track per side.
-Optional minimum wick penetration (ATR-based) to filter marginal sweeps. Does not apply to breaks.
-Optional "Strict Virgin Liquidity" mode: discards a forming level if price closes decisively beyond it before a second touch, so only levels that were never truly broken can pair. Off by default.
-Full display control: pool zones, touch badges, × touch markers, colors, line styles and widths, and how many resolved pools remain on the chart.
-Sweep-rate table with position options.
🔔 Alerts
Per-side sweep alerts (EQH and EQL), separate break alerts, and a combined "Any Pool Swept" alert. All alerts fire on the close of the event bar.
📌 Notes and limitations
-Designed for intraday and swing timeframes. Very low timeframes produce many small pools; adjust tolerance and swing lookback to suit.
-Detection uses standard swing pivots. A peak whose neighboring bar wicks slightly higher may not register as a separate pivot, so not every visual high becomes a pool — tune the swing lookback and tolerance to match how you read structure.
-The equal tolerance is the single most important setting. Too tight and genuine equal levels are missed; too loose and unrelated highs merge. Start moderate and adjust to your instrument.
-The sweep-rate table describes the pools on your loaded chart history. It is a measurement of what happened, not a prediction of what the next pool will do.
✅ Why no repaint
-Pivots are confirmed only after the swing lookback completes, and all pool detection runs on closed bars only. A sweep or break tag will never appear intrabar and then vanish.
-A pool is only evaluated for sweep or break once it has fully formed. A level still building cannot be resolved.
-No request.security() calls are used anywhere. All detection is chart-timeframe state. Penunjuk
ICT Everything Pro @SafarTradesICT Everything Pro
ICT Everything Pro consolidates multiple ICT time-based references into a single configurable indicator, allowing traders to monitor sessions, opening prices, key time markers, and higher timeframe reference levels without cluttering the chart or switching between multiple scripts.
Designed for intraday traders, the indicator centralizes the market timing concepts commonly used within the ICT methodology while providing extensive customization to match individual workflows.
Sessions
Display and customize the major trading sessions including Asia, London, AM, PM, London Close, and New York Lunch. Sessions can be displayed individually, highlighted using different styles, and limited to the current day or current week depending on your workflow.
CBDR, Asia & FLOUT
Visualize ICT session ranges including CBDR, Asia, and FLOUT. Each range supports independent visibility, colors, labels, and session definitions.
Time Markers
Display important ICT reference times using customizable vertical markers, including:
Midnight
London Open
New York Open
Equities Open
Each marker supports independent color, style, and width settings.
Opening Price Levels
Project important opening prices directly onto the chart, including:
Midnight Open
New York Open
Equities Open
Afternoon Open
RTH Open
Daily 50% Level
Each level supports customizable extensions, labels, colors, styles, and visibility.
Higher Timeframe Opening Levels
Optionally display Weekly and Monthly opening prices to maintain higher timeframe context while executing on lower timeframes.
Labels
Display day-of-week labels and a customizable chart label to improve chart organization and quickly identify trading sessions.
Customization
Every module can be configured independently, including:
Timezone selection
Session visibility
Session styles
Opening price extensions
Vertical line styling
Colors and labels
Historical display options
Higher timeframe opening levels
Intended Use
ICT Everything Pro is designed for traders who want a centralized ICT workspace without relying on multiple individual indicators. By combining session visualization, opening prices, higher timeframe references, and key time markers into a single configurable tool, it provides a cleaner and more efficient environment for market analysis and execution. Penunjuk
Volumetric Sweep Gravity Engine [PhenLabs]📊 Volumetric Sweep Gravity Engine
Version: PineScript™ v6
📌 Description
The Volumetric Sweep Gravity Engine detects true liquidity stop-hunts and only keeps the ones backed by real volume absorption. Instead of marking every wick beyond a swing, VSGE scores each sweep with volume expansion, wick geometry, and a candle delta proxy — then projects a Fibonacci golden-zone magnet where price is most likely to get pulled next.
Traders get a clean, high-contrast chart: absorption boxes that intensify with score strength, gold-tinted gravity zones, dotted magnet lines, dual glow signal markers, and a live PhenLabs command dashboard. Built for fast visual reads on crypto, indices, FX, and metals without clutter.
🚀 Points of Innovation
Triple-factor absorption score (volume × wick ratio × delta proxy) filters weak fake sweeps
Liquidity pool tracking from confirmed swing highs/lows with ATR-buffered sweep rules
Automatic Fibonacci golden-zone gravity targets (0.618–0.786) after valid sweeps
Score-reactive zone transparency — stronger absorption draws hotter, more opaque boxes
Dotted magnet projection lines from signal price into the golden-zone midpoint
Live VSGE dashboard with bias, last event, ABS score, GZ magnet, BSL/SSL pools, and vol pulse
🔧 Core Components
Liquidity Pool Engine: Confirms swing highs (BSL) and swing lows (SSL), then watches for wick violations with optional close-back-inside stop-hunt logic
Absorption Scorer: Composites volume-vs-SMA, wick-to-body geometry, and signed volume delta into a 0–100 score with configurable weights
Gravity Projector: Measures the impulse leg and maps the 61.8–78.6 golden zone as the expected rebalance magnet
Visual Command Layer: Absorption boxes, golden zones, magnet lines, glow markers, pool rails, and a gold-framed dashboard
🔥 Key Features
Bullish and bearish volumetric sweep signals with min score gate
Optional EMA trend filter and ATR volatility floor to skip dead markets
Toggleable pool lines, absorption boxes, labels, bar coloring, and magnet lines
Max active zone cap to keep charts clean on lower timeframes
Alert conditions for bull sweeps, bear sweeps, and any sweep
Fully open-source Pine v6 with organized input groups and tooltips
🎨 Visualization
Neon triangle + soft glow circle markers tagged “VSGE” for screenshot-ready signals
Absorption boxes labeled with live ABS % and opacity scaled to conviction
Dashed golden-zone rectangles with centered GOLDEN ZONE text
Dotted gold magnet lines pulling toward the zone midpoint
BSL/SSL pool rails in bear/bull tints for structural context
Top-right dark dashboard with gold border, bias coloring, and vol pulse readout
📖 Usage Guidelines
Swing Lookback — Default: 5 — Range: 2-30 — Higher = fewer, more structural pools
Sweep Buffer (ATR mult) — Default: 0.05 — Range: 0-1 — Extra wick extension required beyond the pool
Require Close Back Inside — Default: true — Enforces classic stop-hunt reclaim closes
Min Sweep Wick (ATR) — Default: 0.15 — Range: 0.05-2 — Rejects tiny liquidity nicks
Volume SMA Length — Default: 20 — Range: 5-100 — Baseline for absorption volume
Absorption Volume Mult — Default: 1.4 — Range: 1-5 — Minimum volume expansion vs SMA
Min Wick/Body Ratio — Default: 1.5 — Range: 0.5-10 — Ensures rejection-style geometry
Min Absorption Score — Default: 55 — Range: 0-100 — Composite gate for signals
Golden Zone Low/High (Fib) — Default: 0.618 / 0.786 — Retracement band for gravity targets
Impulse Lookback Bars — Default: 8 — Range: 3-40 — Bars used to size the impulse leg
Max Active Zones — Default: 6 — Range: 1-20 — Limits drawn boxes/lines/labels
EMA Trend Filter — Default: off — Optional 200 EMA directional gate
Min ATR Volatility Filter — Default: on — Skips low-volatility chop vs ATR SMA
✅ Best Use Cases
Intraday liquidity-grab reversals on crypto, Nasdaq, Gold, and major FX pairs
Confirming stop-hunts before entering toward the golden-zone magnet
Filtering pure wick noise by requiring volumetric absorption
Screenshot-friendly SMC setups for education, social posts, and journal reviews
⚠️ Limitations
Delta is a candle-geometry proxy, not true bid/ask order-flow data
Pivot pools confirm with lag equal to the swing lookback
Golden zones are probabilistic magnets, not guaranteed fill targets
Dense lower-timeframe charts may need higher min score or lower max zones
💡 What Makes This Unique
Fuses liquidity sweeps + volumetric absorption scoring + Fibonacci gravity in one engine — a combination missing from pure sweep or pure Fib tools
Score-reactive visuals make conviction readable at a glance for SEO screenshots and live trading
PhenLabs-style command dashboard turns structure, score, and magnet price into a single decision panel
🔬 How It Works
Map liquidity pools from confirmed swing highs (BSL) and swing lows (SSL)
Detect sweeps when price wicks beyond a pool by ATR buffer and optionally closes back inside
Score absorption using volume expansion, wick/body geometry, and signed delta proxy
If score clears the minimum gate, draw the absorption box and project the 0.618–0.786 golden gravity zone with a magnet line
Update the live dashboard (bias, last event, ABS score, GZ magnet, pools, vol pulse) and fire alerts
💡 Note:
Use VSGE as a confluence layer with your own risk rules, higher-timeframe bias, and position sizing. This is an analytical aid for studying liquidity and absorption behavior — not financial advice. Penunjuk
Liquidity Sweep & Stop-Hunt Signals [ForexCracked]🔵 OVERVIEW
Liquidity Sweep & Stop-Hunt Signals marks the price levels where stop orders pile up, detects the moment price runs those stops and reverses, and prints a BUY or SELL with a ready-made entry, stop and target. It is a focused reversal tool built around one of the most reliable behaviours in the market: the failed breakout.
Every signal confirms on candle close, so nothing repaints after the bar is done. A live dashboard shows the higher-timeframe bias, the last signal, and the current trade plan.
🔵 WHAT A LIQUIDITY SWEEP ACTUALLY IS
Stops cluster in obvious places: just above a recent swing high (buy-side liquidity) and just below a recent swing low (sell-side liquidity). Price is often drawn to those pools because that is where resting orders sit.
A sweep, or stop hunt, happens when price spikes through one of those swings, triggers the stops, and then closes back inside the range on the same candle. Breakout traders get trapped, and the reversal that follows is the trade this tool is built to catch.
🔵 HOW IT FINDS SIGNALS
• It tracks recent swing highs and lows as liquidity lines and keeps them on the chart until they are taken
• A SELL fires when a candle's high runs above a tracked swing high but its close falls back below it (buy-side liquidity swept, then rejected)
• A BUY fires when a candle's low runs below a tracked swing low but its close climbs back above it (sell-side liquidity swept, then rejected)
• An optional rejection-body filter ignores weak wicks and only accepts sweeps that close with a real body back inside the level
• An optional higher-timeframe EMA bias lets you take only trend-aligned sweeps, only counter-trend sweeps, or all of them
🔵 THE TRADE PLAN IT DRAWS
On every signal the tool draws three lines and labels them:
• Entry at the close of the sweep candle
• Stop just beyond the swept wick, with an ATR buffer so normal noise does not clip it
• Target at your chosen reward-to-risk multiple of that stop distance
You get a complete plan on the chart the moment a signal prints, with the exact prices in the label.
🔵 SETTINGS
• Swing Strength: how major a swing must be to count as liquidity (higher = fewer, cleaner levels)
• Levels Tracked: how many liquidity lines to keep per side
• Trend Filter: All sweeps, HTF trend only, or Counter-HTF only
• HTF Bias Timeframe and EMA Length: the higher-timeframe trend reference
• Require Rejection Body and Min Rejection Body (x ATR): quality filter for the sweep candle
• Stop Buffer (x ATR) and Reward : Risk: the trade-plan geometry
🔵 HOW TO USE
• Start on H1 or H4 for forex, gold and indices, with the HTF bias set one or two steps higher
• Treat a swept level plus a strong rejection close as the signal, not the wick alone
• Use Counter-HTF only when you want pure reversal setups at range extremes, and HTF trend only when you want continuation entries after a stop-run against the trend
• Size every trade off the drawn stop distance at a fixed account risk
• Raise Swing Strength on noisy pairs so only the meaningful liquidity gets tracked
🔵 BEST AND WEAKEST CONDITIONS
✅ Strongest at range extremes, session highs and lows, and around prior day or week highs and lows, where liquidity genuinely rests
⚠️ Weakest in fast one-way trends with no pullbacks, and on very low timeframes where every wick looks like a sweep
⚠️ DISCLAIMER
This tool identifies liquidity sweeps and marks reversal setups. It does not predict price. A swept level is a probability, not a certainty, and sweeps can extend further before reversing. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes; not financial advice. Penunjuk
Liquidity Sweep & Golden Zone [StrixEDGE]Overview
Liquidity Sweep & Golden Zone is a multi-timeframe structural analysis tool built for traders who use Smart Money Concepts (SMC) and ICT methodology. It identifies liquidity sweeps at confirmed swing levels, maps the Fibonacci Golden Zone (OTE), and presents a real-time confluence dashboard across 15-minute, 1-hour, 4-hour, and daily timeframes.
The indicator answers three questions at a glance: where is the liquidity?, has it been swept?, and do multiple timeframes agree on direction?
How It Works
Liquidity Sweep Detection
The engine tracks confirmed swing highs and swing lows using pivot detection. These pivots represent resting liquidity pools — areas where stop-loss orders accumulate:
- Buy-Side Liquidity (BSL) sits above swing highs, where short sellers place their stops. When price wicks above a swing high and closes back below, a BSL sweep is triggered — signaling that buy-side stops were hunted. This typically precedes bearish continuation.
- Sell-Side Liquidity (SSL) sits below swing lows, where long traders place their stops. When price wicks below a swing low and closes back above, an SSL sweep is triggered — signaling that sell-side stops were hunted. This typically precedes bullish reversal.
Each sweep event displays the estimated volume in USDT at the moment of the sweep. This is calculated as `volume × close` on the sweep bar and serves as a proxy for the magnitude of liquidations that occurred. Higher volume sweeps tend to produce stronger reversals.
After a sweep, the level is updated to the new extreme — preventing duplicate signals and establishing a fresh liquidity reference.
Support & Resistance (Pivot-Based)
Active (un-swept) pivot levels are drawn on the chart as structural Support and Resistance:
- A line extending from the bar where the pivot formed to the current price area
- A zone band (ATR × 0.15) around the level, representing the area of influence
- Origin labels showing "Buy-Side Liquidity SWEEP" or "Sell-Side Liquidity SWEEP" with the USDT volume
- Price labels on the right edge for quick reference
These levels update dynamically: when a new pivot is confirmed, the line starts from the new origin. When a sweep occurs, the level shifts to the sweep bar.
Golden Zone (Fibonacci OTE: 0.618 – 0.786)
The Golden Zone represents the Optimal Trade Entry area — the 61.8% to 78.6% Fibonacci retracement of the most recent price range. Unlike pivot-based calculations, this indicator uses a **lookback-based approach**: it finds the highest high and lowest low over a configurable number of bars, then derives the zone from that range.
The zone is visualized with:
- A filled box between the 0.618 and 0.786 levels (transparency adjustable)
- Dashed border lines at 0.618 and 0.786
- A dotted midline at the 0.702 level
- Price labels showing exact values
- A centered "GOLDEN ZONE" tag
This approach produces a stable, always-visible zone that doesn't depend on individual pivot detection, making it reliable across all market conditions.
Multi-Timeframe Heatmap
The core of this indicator is a 7-column heatmap table that evaluates market conditions across four timeframes simultaneously:
| Column | What It Shows | Bullish | Bearish |
|--------|--------------|---------|---------|
| SWEEP | Recent liquidity sweep direction | ● BULL (SSL swept) | ● BEAR (BSL swept) |
| GZ | Price position relative to Golden Zone | ▲ ABOVE | ▼ BELOW |
| S/R | Price position vs. pivot S/R midpoint | ▲ BULLISH | ▼ BEARISH |
| BIAS | EMA 21/50 trend direction | ▲ BULL | ▼ BEAR |
| RSI | RSI(14) value with decimal precision | Color-coded by zone | Color-coded by zone |
| SIGNAL | Composite of all conditions | LONG ▲ | SHORT ▼ |
Signal Logic: The SIGNAL column counts four conditions per timeframe — RSI above/below 50, price in/above the Golden Zone, price above/below the S/R midpoint, and EMA bias direction. When 3 or more conditions align bullish, the signal reads LONG. When 3 or more align bearish, it reads SHORT. Otherwise, NEUTRAL.
A confluence bar at the bottom aggregates all timeframes. When the majority of conditions across all four timeframes agree, it displays STRONG BULLISH or STRONG BEARISH CONFLUENCE.
RSI Color Coding
| RSI Range | Color | Meaning |
|-----------|-------|---------|
| > 70 | Orange | Overbought |
| 50 – 70 | Green | Bullish momentum |
| 30 – 50 | Red | Bearish momentum |
| < 30 | Blue | Oversold |
Settings
Structure Settings
| Setting | Default | Description |
|---------|---------|-------------|
| Pivot Lookback Length | 5 | Bars left and right to confirm a swing pivot. Higher values produce fewer but stronger levels |
| Sweep Active Memory | 10 | How many bars a sweep signal remains active on the heatmap after detection |
Golden Zone
| Setting | Default | Description |
|---------|---------|-------------|
| Lookback Period | 20 | Number of bars to find highest high and lowest low for Fibonacci calculation |
| Show Golden Zone | On | Toggle zone visibility on chart |
| Fill Golden Zone | On | Shade the area between 0.618 and 0.786 |
| Fill Transparency | 88 | Opacity of the filled zone (50–98) |
| Golden Zone Color | Gold | Color for all Golden Zone elements |
Support & Resistance
| Setting | Default | Description |
|---------|---------|-------------|
| Show S/R on Chart | On | Toggle S/R lines, zone bands, and labels |
| Support Color | Teal | Color for support level and SSL elements |
| Resistance Color | Red | Color for resistance level and BSL elements |
| Line Width | 2 | Thickness of S/R lines (1–4) |
| Line Style | Solid | Solid, Dashed, or Dotted |
| Show Price Labels | On | Display price values at the right edge of each level |
Sweep Event Labels
| Setting | Default | Description |
|---------|---------|-------------|
| Show Sweep Labels | On | Toggle sweep event markers on chart |
| Bullish Sweep Color | Green | Color for SSL sweep labels (bullish reversal) |
| Bearish Sweep Color | Red | Color for BSL sweep labels (bearish reversal) |
Heatmap Table
| Setting | Default | Description |
|---------|---------|-------------|
| Show Heatmap Table | On | Toggle the entire dashboard |
| Table Position | Top Right | 9 position options across the chart |
| Table Cell Size | Normal | Tiny, Small, Normal, Large, or Auto |
Alerts
Five alert conditions are built in and ready to use:
1. Bullish Liquidity Sweep — SSL swept, potential bullish reversal
2. Bearish Liquidity Sweep — BSL swept, potential bearish reversal
3. Bull Sweep + Golden Zone — SSL swept while price is inside the OTE zone (high-probability long)
4. Bear Sweep + Golden Zone — BSL swept while price is inside the OTE zone (high-probability short)
5. Price in Golden Zone — Price enters the 0.618–0.786 zone on any bar
Disclaimer
This indicator is a technical analysis tool designed to assist in identifying potential areas of interest based on market structure and liquidity concepts. It does not constitute financial advice. The USDT volume figures are approximations, not verified liquidation data. Always use proper risk management and combine this tool with your own analysis. Past performance of any signal or pattern does not guarantee future results. Trade at your own risk. Penunjuk
Mini SMC Screener I EonMetrics Mini SMC Screener
Mini SMC Screener watches up to 5 symbols at once and answers a question no single-chart indicator can: WHERE is something happening right now. Instead of flipping through charts, you read one small table: market structure direction and the freshest Fair Value Gap event for every symbol on your list.
HOW IT WORKS
The script scans each symbol on the timeframe you choose (empty = chart timeframe) and reports two independent readings per symbol.
🔵Structure — a strict MSS/BOS engine. Swing points are confirmed pivots (a candle with N higher/lower candles on both sides). A close above the last confirmed swing high in a downtrend is a Market Structure Shift to bullish; a close below the protected swing low in an uptrend shifts structure bearish. Between shifts, breaks of structure in trend direction keep updating the protected level. The column shows the current state: ▲ Bull or ▼ Bear.
🔵FVG — a three-candle imbalance tracker. A Fair Value Gap forms when the first and third candle of a three-candle sequence do not overlap (the low of the newest candle stays above the high of the candle two bars back, or the mirror for bearish). The gap between them is unfilled territory. The engine registers a gap only when its height clears an ATR-based minimum size, keeps it active until price trades through its far edge (a full fill), and reports the freshest of two events:
- New — a qualifying gap just formed (displacement is happening now)
- Retest — price traded back INTO a still-open gap (the return many traders wait for)
Each event ages out of the table after a configurable number of bars, so the column only ever shows fresh information — an FVG event from 200 bars ago is not a setup and is not displayed.
Why the two are combined in one script: they answer the two halves of the same scanning question. Structure tells you the directional context of a symbol; the FVG event tells you that something tradeable is happening there right now. One without the other is either context with no trigger, or a trigger with no context — a scanner needs both on one row to be useful.
KEY FEATURES
- 5 symbol slots, each with its own on/off toggle — defaults cover crypto, forex, gold and an index; replace them with your own watchlist
- Structure column: live Bullish / Bearish read from confirmed swing pivots (non-repainting state machine — the state changes only on a confirmed close through a level)
- FVG column: New / Retest events with age in bars ("now", "3b", …); the cell background lights up when the event happened on the current bar
- ATR size filter — noise-sized gaps never make it into the table
- Freshness windows for FVG events, so stale signals disappear on their own
- Alerts: per-symbol alert() messages (structure flips, new FVG, FVG retest) plus two named conditions — "Structure flip (any symbol)" and "FVG event (any symbol)"
- Scan timeframe input — scan a higher timeframe than your chart; a warning shows if you accidentally scan below the chart timeframe (unreliable by design on TradingView)
- Table position and text size inputs
HOW TO USE
1. Add the indicator to any chart and open Settings → Symbols. Replace the default tickers with the instruments you actually follow.
2. Pick a Scan Timeframe — the chart timeframe or higher. A common setup: chart on M15, scan on M15 or H1.
3. Read rows left to right: Structure gives you the direction bias, FVG tells you whether a fresh imbalance or a retest is in play on that symbol.
4. The combination many traders look for: structure and a fresh FVG event pointing the SAME way — e.g. ▲ Bull structure plus a bullish FVG retest.
5. Set an alert with "Any alert() function call" to get the detailed per-symbol messages without watching the table.
SETTINGS
- Scan: scan timeframe
- Symbols: 5 slots with toggles
- Structure: pivot strength (candles each side to confirm a swing)
- Fair Value Gaps: minimum gap size (× ATR), event freshness (bars)
- Alerts: master toggle
- Table: position, text size, bullish/bearish colors
A note on how the scan works under the hood: each symbol is evaluated in its own sandboxed context via request.security — the full engine state (structure machine, active gap list) is kept separately per symbol, and signals commit on bar close. Disabled slots still consume their data request (a TradingView compile-time requirement); the toggle hides the row.
This tool reports structure state and imbalance events. It does not generate buy/sell signals, targets or stop levels — what you do with a reading is your decision. It is not financial advice; always do your own analysis and manage your own risk.
Part of the EonMetrics toolset.
Penunjuk
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. Penunjuk
Liquidity Radar Engine [MarkitTick]💡 The financial markets operate on a continuous search for liquidity, moving dynamically from areas of consolidation to zones of unmitigated resting orders. This technical evaluation tool is engineered to objectively map these critical liquidity thresholds and provide a comprehensive framework for identifying high-probability market reversals and continuation phases. By tracking the exact interaction between historical pivot structures and real-time volume dynamics, it offers a highly systemic, algorithmic approach to charting price action.
✨ Originality and Utility
● A Synergistic Approach to Market Dynamics
Standard technical tools typically evaluate a single dimension of market data, such as momentum or trend direction, which frequently leads to fragmented analysis and false signals. This script stands out by synthesizing pure price structure, volume delta approximation, and multi-timeframe consensus into a unified visual environment. It removes the guesswork from order block and liquidity trading by mathematically defining structural shifts.
• Justification of the Integrated Logic
This tool is a deliberate fusion of price action concepts and mathematical volume filtering. Relying strictly on a breakout of a previous day's high or low can be highly susceptible to false moves and liquidity traps. By incorporating a relative volume (RVOL) filter and a proprietary candle-based delta estimation, the tool validates structural shifts with quantifiable market participation. Additionally, the inclusion of momentum divergence protocols ensures that price action is aligned with the anticipated structural pivot, filtering out low-probability setups in exhausted trends.
🔬 Methodology and Concepts
● Core Analytical Framework
The script operates by mapping significant price extremes across varying temporal horizons and evaluating the market's precise reaction when these zones are breached.
• Liquidity Sweep Detection
The algorithm constantly monitors the Highs and Lows of the Previous Day, Week, and Month. When current price action breaches one of these levels but fails to sustain the breakout—closing back inside the defined range—a sweep zone is generated. This defines a failed auction mechanism where stops may have been triggered without genuine directional follow-through from larger market participants.
• Equal Highs and Lows (EQH/EQL)
To identify resting liquidity pools, the script evaluates historical pivot points within an adjustable lookback window. Using the Average True Range (ATR) as a dynamic tolerance threshold, it mathematically defines whether two separate swing points are functionally "equal," marking them as magnetic targets for future price action.
• Structural Shifts and Displacement
Once a sweep occurs, the engine scans for a localized Change in State of Delivery (CISD). A valid shift requires displacement, which is measured by comparing the breakout candle's body size against a moving average of recent candle bodies, or by the immediate formation of a Fair Value Gap (FVG).
• Multi-Factor Validation
Signals are not generated strictly on price structure. They must pass a rigorous matrix of internal filters:
Relative Volume (RVOL): Requires the sweep or shift to occur with volume significantly exceeding the recent moving average.
Cumulative Volume Delta (CVD): Approximates buying and selling pressure within the candle spread to confirm directional momentum.
Trend Alignment: Evaluates the current price against a long-term Exponential Moving Average (EMA).
Volatility Squeeze Avoidance: Uses ATR ratios to actively block signals in exceptionally low-volatility environments.
Currency Correlation: Compares the traded pair against a reference index to ensure macroeconomic alignment.
News Blackout: Blocks all signals during user-defined, high-impact news windows to protect against erratic slippage.
🎨 Visual Guide
● Chart Elements and Topography
The visual interface is meticulously designed to present complex, multi-dimensional data without obfuscating the primary candlestick action.
• Historical Liquidity Levels
PDH/PDL Lines: Displayed as subtle, translucent lines indicating the Previous Day's High and Low.
PWH/PWL Lines: Denoting the Previous Week's extremes in distinct, moderately visible hues.
PMH/PML Lines: Marking the Previous Month's extremes for macro higher-timeframe context.
Equilibrium Line: A distinct midline drawn between the daily extremes to gauge intraday premium and discount pricing.
• Structural Zones and Markers
Sweep Zones: Highlighted boxes marking the exact area of a failed breakout. Buy-side sweeps appear in a muted green-toned box, while sell-side sweeps are marked in a red-toned box. These zones feature active aging, gently fading as time progresses.
FVG Clouds: Displayed as gold or yellow background areas denoting supply/demand imbalances.
EQH/EQL Markers: Small textual annotations above or below the price, bounded by a semi-transparent box, indicating concentrated liquidity pools.
• Execution and Management Visuals
Signal Labels: Distinct text markers indicating validated Buy or Sell conditions upon bar close.
Position Boxes: When a signal is active, a structured box appears showing the Entry level (dashed neutral line), Stop Loss (dashed red line), and up to three Take Profit targets (dashed teal lines).
Heatmap Candles: The main chart candles are dynamically colored based on the dominant daily bias or RSI momentum.
• The Multi-Timeframe (MTF) Dashboard
A tabular data panel positioned on the chart displays the trend and liquidity status across three distinct timeframes. It also features a comprehensive statistics section monitoring the active trading session, the current volatility regime, the count of unfilled fair value gaps, and the dynamic risk-to-reward ratio of any open simulated positions.
📖 How to Use
● Interpreting the Data
The primary workflow involves observing the direct interaction between price velocity and the mapped structural zones.
• Executing an Analysis
Wait for a visual Sweep Zone to form, indicating that a significant historical level has been tested and rejected by the market.
Observe the Signal Labels. A signal is only printed if the internal confluence engine—validating volume, delta, and structural displacement—has fully approved the setup.
If the FVG entry model is active, wait for price to retrace into the highlighted Fair Value Gap cloud before considering the setup valid for engagement.
• Trade Management
Utilize the plotted Position Boxes to evaluate the mathematical risk profile. The entry, stop loss, and targets are drawn directly on the chart for immediate visual feedback.
Monitor the MTF Dashboard to ensure the lower timeframe execution signal is not fighting a dominant higher timeframe trend.
If Dynamic Trade Management is enabled, closely observe the Stop Loss line as it automatically trails price based on the selected ATR, Swing, or Chandelier mathematical logic.
⚙️ Inputs and Settings
● Configuration Options
The script is heavily modular, allowing for extensive adjustment of its internal validation logic.
• General and Display Limits
Toggle the visibility of specific liquidity levels (Daily, Weekly, Monthly) and limit the maximum number of historical zones, FVG clouds, or signal boxes retained on the chart to maintain a highly optimized workspace.
• Validation Filters
Volume Validation: Adjust the Moving Average length and the RVOL threshold multiplier to define what constitutes a genuine volume climax.
Delta Filter: Toggle the requirement for estimated volume delta to perfectly align with the signal direction.
Divergence Source: Choose whether the script requires RSI, MACD, or a combination of both to display divergence before validating a reversal.
ADX Threshold: Define the strict minimum trend strength required for continuation signals.
• Target and Management Settings
Risk to Reward (R:R) Inputs: Define the exact mathematical multiples for Target 1, Target 2, and Target 3.
Position Sizing: Input an account balance and risk percentage to have the engine calculate the exact unit size for the plotted setup.
Trailing Logic: Select between None, ATR-based, Swing-based, or Chandelier-based trailing stops, complete with user-defined multiplier adjustments and partial profit scaling.
• Dashboard and Visual Preferences
Modify the specific timeframes monitored by the MTF panel, alter its position, and heavily customize the color palettes for all sweep zones, lines, heatmaps, and interface text.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Theoretical Foundations
The architecture of this script is grounded in several well-documented financial theories, primarily focusing on Auction Market Theory and the statistical modeling of price volatility distributions.
• Auction Market Theory and Liquidity
The core premise of the sweep detection logic rests securely on the concept of order matching and liquidity cascades. Markets move constantly to facilitate trade, frequently gravitating toward areas with a high density of resting stop orders, such as historical highs and lows. When these areas are breached but fail to attract aggressive participation, the auction process is deemed to have failed. This script mathematically quantifies these failed auctions by tracking the spatial relationship between the breakout wick and the closing price relative to the historical pivot.
• Statistical Variance and Normalization
The tool heavily utilizes the Average True Range (ATR) as a core normalization factor. Financial time series exhibit continuous heteroskedasticity, meaning volatility varies over time. Hardcoding a fixed point-value for concepts like "Equal Highs" or "Trailing Stops" is mathematically flawed. By utilizing ATR ratios, the algorithm rapidly adapts its spatial thresholds to the current standard deviation of price movement, ensuring highly consistent behavior across varying market regimes and asset classes.
• Momentum Divergence and Rate of Change
The inclusion of oscillators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) serves to measure the first and second derivatives of price—specifically velocity and acceleration. By actively requiring a divergence between price extremes and momentum extremes, the script effectively filters for environments where the kinetic energy of the prevailing trend is decaying, thereby increasing the statistical probability of a mean-reverting event or structural reversal.
• Volume Delta Approximation
While granular tick data is technically required for an exact volume delta calculation, the script employs a highly robust approximation algorithm that distributes volume proportionally across the candle's spread. This provides a quantifiable metric of localized supply and demand imbalances, adhering strictly to the Wyckoffian principle of Effort versus Result, ensuring that price moves are backed by actual transactional weight.
⚠️ 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. Penunjuk
Smart Money Concepts Liquidity Sweep, Order Block & FVGOVERVIEW
Every Smart Money indicator draws order blocks and tells you they work. This one scores them 0–100 and then forward-tests whether the score is actually true — on your instrument, on your timeframe.
It maps liquidity, detects stop-hunts, builds entry zones from the displacement that follows, confirms them with real order flow, and grades every zone that price returns to. Instead of "here is an order block, trust me", the panel tells you something like:
Tier-A zones returned +0.23R vs +0.08R for a matched control, n=61, t=2.1 — PROVEN
...or, just as usefully, NOT PROVEN. It is built to be able to tell you it doesn't work.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
The Smart Money / ICT model is a SEQUENCE. Each step is meaningless on its own, and that is why they are combined here rather than sold as separate scripts:
1. LIQUIDITY POOLS — Stops cluster above equal highs (buy-side) and below equal lows (sell-side). Swing points within an ATR tolerance are clustered into a single pool; the more swings, the more stops resting there. A pool is not a signal. It is a magnet and a target.
2. THE SWEEP — Price wicks THROUGH the pool and closes back INSIDE it. That is a stop-hunt, and it is the only part of the sequence that reveals intent. A sweep alone is still not a trade.
3. DISPLACEMENT — An impulsive, ATR-normalised move away from the swept level. This is what separates a SWEEP (reversal) from a RUN (continuation).
4. THE ZONE — Displacement leaves footprints: a FAIR VALUE GAP (a three-bar imbalance) and an ORDER BLOCK (the last opposing candle before the impulse). Where an FVG sits INSIDE an order block, two independent structures agree — flagged as a confluence zone.
5. LOCATION — The zone is then judged on WHERE it sits. Against the VOLUME PROFILE (value area, point of control, and untested "naked" POCs), and against the DEALING-RANGE EQUILIBRIUM. A bullish zone in DISCOUNT is a zone you are being paid to buy; the same zone in premium is not.
6. ORDER FLOW — The question structure cannot answer: did anyone actually show up? Intrabar delta signs each lower-timeframe bar's volume by its own direction. A bullish zone born on NEGATIVE delta is a vacuum, not a footprint — and scores nothing for it.
7. THE ENTRY — Price is never chased. The engine arms only when price RETRACES into a fresh zone, then frames entry / stop / target — the target being THE NEXT OPPOSING POOL OF STOPS, because that is where the next batch of liquidity is resting.
8. THE CALIBRATION — Without it, everything above is folklore.
Remove any one of these and the tool marks noise, chases price, targets nothing, ignores where value actually is, or reports a confidence it has not earned.
THE SCORE (0–100, eight measurable components, no discretion)
Displacement strength ...... impulse body ÷ ATR — the energy behind the zone
Participation (RVOL) ....... volume at formation vs its own recent average
Born from a sweep .......... did a stop-hunt precede it? (the core ICT claim)
Imbalance size ............. FVG height ÷ ATR
HTF alignment .............. does the higher timeframe agree?
Premium / discount ......... bullish zone in DISCOUNT? bearish zone in PREMIUM?
Volume-profile location .... at value, at the POC, or at an untested POC?
Order flow (delta) ......... was the displacement backed by real aggressive flow?
Tiers: A (70+) · B (40–69) · C (below 40). Every weight is an input — if you think the sweep matters more than I do, turn it up, and let the calibration tell you whether you were right.
THE CALIBRATION — AND WHY IT IS HONEST
Every zone trade is paired with a MATCHED CONTROL: the same bar, the same direction, and the SAME R:R — but entered at market with an ATR stop instead of at the zone. This isolates exactly one variable: does entering AT THE ZONE beat entering anywhere else on identical geometry? Under a random walk, this control has zero expectancy, so anything the zones earn is real.
Each tier is tested against its OWN control, because an A-zone may carry a very different R:R from a C-zone, and a trade's hit rate depends on its R:R.
Results are reported as EXPECTANCY IN R, not hit rate. When R:R varies from trade to trade, a hit rate on its own is meaningless: a 6R winner at 20% is +0.4R (excellent), while a 1R winner at 55% is +0.1R (barely worth the commission).
A Welch t-test decides whether the difference is real or luck. The panel does not say "proven" unless t > 1.96.
The panel also answers the one question that matters most: DOES TIER A BEAT TIER C? If the scoring model has any value, A-grade zones must outperform C-grade zones. If they don't, the score is noise — and it will say so.
Conventions are deliberately chosen so the tool cannot flatter itself:
· Both barriers touched on the same bar → the STOP is assumed first.
· Expired trades are marked to market, not counted as wins or losses.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. Read the bias, the liquidity map, and the premium/discount shading. Pools above are buy-side, pools below are sell-side, and price usually travels from one to the other.
2. Wait for a SWEEP, then for a zone to be created by the displacement that follows.
3. Do NOT chase. The engine arms an entry only when price RETRACES into a fresh zone.
4. Watch for ABSORPTION at the zone — heavy volume, a small range, price holding. Someone is soaking up the aggression. That is a defended zone, and it is the best live confirmation available.
5. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT. If Tier A is not proven on your instrument and timeframe, a zone is a LOCATION, not a PROBABILITY — treat it as context only.
6. Entry / stop / target and the resulting R:R are drawn on the chart. They are arithmetic, not advice.
Do not tune the weights until the numbers turn green. That is curve-fitting, and the calibration exists to catch it — not to be defeated by it.
ORIGINALITY
The underlying SMC concepts are public and credited below. What is assembled here is the specific synthesis: an eight-component measurable score, the fusion of SMC structure with auction-theory location (volume profile and premium/discount), true intrabar order-flow confirmation, a per-tier matched control, expectancy-in-R reporting, and a significance test that can — and frequently does — return "not proven".
Clean-room implementation. No third-party Pine code is reused.
UNIVERSAL / DATA REQUIREMENTS
Works on any symbol and any timeframe — the engine is ATR-normalised throughout, so it adapts to the instrument rather than assuming point values.
Volume improves the score but is NOT required. On a symbol without real volume, the RVOL, volume-profile and order-flow components neutralise and the panel says so, rather than blanking or pretending.
Intrabar delta requires a timeframe strictly below the chart's. The script AUTO-MAPS this (1m→5s, 3m→15s, 5m→30s, 15m→1m, and so on) because if the intrabar timeframe equals the chart timeframe there is only ONE intrabar — the bar itself — and delta degenerates to ±100% on every bar. Where true intrabar data is unavailable, the script falls back to a close-location proxy AND LABELS IT AS A PROXY in the panel.
NON-REPAINTING
Pools, sweeps, displacement, zones, the volume profile, absorption and entries are ALL computed on confirmed bars only.
Swing points use ta.pivot* and are therefore known only AFTER their confirmation bars. This is why a liquidity pool appears a few bars after its swing. That delay is the honest cost of not repainting, and it is paid deliberately — a level that moves after the fact is worse than no level at all.
The higher-timeframe read uses lookahead_off with a live-bar offset. The calibration harness logs AND resolves on confirmed bars, so its statistics cannot inflate intrabar. Nothing here is drawn and then moved.
HONEST LIMITATIONS — PLEASE READ
Smart Money Concepts is a popular framework, not a proven one. That is precisely why this script measures it instead of asserting it.
The calibration figures are IN-SAMPLE, close-to-close, with NO costs or slippage, and they use overlapping windows. A proven in-sample edge is NOT a guarantee of out-of-sample results.
The rolling volume profile is an APPROXIMATION — each bar's volume is spread uniformly across the bins its range covers. It is not tick data.
Small samples are unreliable. A tier with a low "n" is provisional even if it looks good.
If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that this model carries no edge on that instrument. The tool is designed to be able to tell you that, and you should believe it when it does.
Nothing here predicts price.
CONCEPT CREDITS
Smart Money / ICT concepts — liquidity pools, stop-hunts, displacement, fair value gaps, order blocks, premium/discount and optimal trade entry — are public trading concepts popularised by Michael J. Huddleston (Inner Circle Trader) and the wider SMC community.
Market Profile, the point of control and the value area — J. Peter Steidlmayer and the CBOT.
Market structure theory — Charles Dow.
Average True Range — J. Welles Wilder.
Wilson score interval — Edwin B. Wilson.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The zone-scoring model, the order-flow fusion, the per-tier matched control and the tier calibration are the author's own. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
This is a research and educational tool only. It is NOT financial advice, NOT a recommendation, and offers NO guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Penunjuk
Session Sweep Detector | AlphaScript🎯Session Sweep Detector
Tracks the High and Low of the Asia and London sessions and tells you exactly what happened to each level — using strict, transparent definitions.
🔍What it does
When a session closes, its High and Low become fixed liquidity levels.
This indicator draws each level from the exact candle that printed the extreme and watches it until the same session opens again the next day.
Each level resolves in exactly one of three ways:
⚡ SWEEP — price wicks through the level but the bar closes back on the original side. A liquidity raid: stops were taken, but the level held on a closing basis.
💥BREAK — a bar closes through the level. This is not a sweep, and the indicator never labels it as one. Breaks are displayed separately (and can be hidden) so the two events are never conflated.
🛡️Untouched — the level survives its full watch window without either event.
First qualifying event wins: one outcome per level, per session, per day. If a bar both pierces and closes through a level, it counts as a break — a close through the level can never be a sweep.
📖How to read the chart
-Solid colored lines are session levels. Each line starts at the candle that actually made the High or Low, so the line points at the liquidity itself.
-Live levels (still being watched) project ahead of price with a name and price label.
-After a sweep or break, the tag prints at the event bar and the line continues a configurable number of bars past the event before freezing — so you can see the reaction.
-Levels that were never touched freeze when their watch window ends.
⚙️Settings
-Toggle each level independently (Asia High/Low, London High/Low), with per-session colors and fully configurable session hours (times in New York time; defaults: Asia 18:00–04:00, London 03:00–12:00).
-Minimum wick penetration filter (in ticks) to ignore marginal pokes when qualifying sweeps. Does not apply to breaks.
-Control how many previous sessions' levels and tags remain on the chart, with optional transparency for past levels.
-Optional Opening Range Block overlay (off by default): draws the opening range of the New York, London, or Asia session with configurable duration, breakout arrows, mid line, and previous-range history. Note: ORB breakout detection and alerts only run while the ORB display is enabled.
🔔Alerts
Per-level sweep alerts (Asia High/Low, London High/Low), combined "Any Sweep" and "Any Break" alerts, and ORB breakout alerts. All alerts fire on the close of the event bar.
📌 Notes and limitations
-Designed for intraday timeframes (1 minute to 30 minutes). On higher timeframes, sessions span too few bars for meaningful detection.
-Session times are defined in New York time (America/New_York) and handle the midnight crossover correctly. If you use another session-levels indicator, match the session hours so both tools agree on where the levels are.
-Sweep-vs-break classification depends on your chart timeframe: a wick-through-and-reclaim on a 15m bar may resolve as a break on 1m if an intermediate bar closed beyond the level. Neither reading is wrong — they are answers to different questions — but be aware of it when comparing timeframes.
✅Why no repaint
-Events are evaluated on confirmed (closed) bars only. A sweep or break tag will never appear intrabar and then vanish.
-Levels are only armed after their session has fully completed. A session High that is still forming cannot be "swept" — price touching it would simply extend it — so no detection runs until the level is final.
-No request.security() calls are used anywhere. All session tracking is chart-timeframe state. Penunjuk
Inversion FVG (iFVG) by EonMetricsInversion FVG (iFVG) by EonMetrics
🔶 WHAT IT DOES
A "fair value gap" (FVG) is a three-candle pattern where price moved so fast that the wicks of the first and third candle never overlapped — leaving a void on the chart that the market skipped over. While an FVG is fresh, traders typically expect a bullish gap to act as support and a bearish gap as resistance.
This indicator focuses on the moment that expectation FAILS — and on how it fails. An inversion FVG (iFVG) happens when price displaces through an existing gap with enough force to print a NEW fair value gap in the opposite direction, overlapping the old one. The inversion zone drawn by this script is the COMMON GROUND of those two opposing gaps — the price area where both imbalances intersect. That is where one side got trapped: broken demand turns into supply, broken supply turns into demand, and the market tends to defend that exact area when price returns to it.
It is a structure-annotation tool: it shows you where these events happen and how significant they were. It deliberately does not give buy/sell signals, entries, targets, stops, or win-rate statistics.
🔶 HOW THIS SCRIPT IS DIFFERENT
Most inversion-FVG tools use a simple rule: when a candle closes through a gap, the whole gap is recolored and called inverted. This script uses a stricter, structural definition, and adds level-management logic around it:
1. Two gaps required, intersection drawn. A slow drift through an FVG does not create an inversion here. The traversal must be violent enough to leave a fresh FVG in the opposite direction, and the zone drawn is only the overlap of the two gaps — the exact prices where the old imbalance and the new one coincide — not the whole original gap.
2. Spent levels never invert. The first candle close through the far side of a gap opens a short pairing window. If no opposing gap confirms within it, the level is considered spent and permanently dropped. Levels that price has already chopped through several times can never produce a late, meaningless inversion zone.
3. Levels are remembered independently of what you see. A gap's box may be mitigated and removed from the chart, yet its price range keeps working invisibly as a candidate level for a configurable number of bars. The displacement that flips a level often arrives well after the gap was first touched — display and detection are deliberately separated.
4. Partial consumption. When an opposing gap overlaps only part of a remembered level, only that part is consumed; the remainder stays available. A small opposing gap therefore cannot "steal" a large level from a later, proper displacement. One inverting gap can flip several remembered levels at once, and the resulting zones never overlap each other.
5. Two-condition strength grading. An inversion is tagged STRONG only when the inverting gap is both large relative to volatility AND backed by elevated volume on its displacement candle — size or volume alone is not enough.
🔶 HOW IT DETECTS EACH EVENT (THE EXACT METHOD)
1. Regular FVG: on every closed bar the script checks the classic three-candle condition — for a bullish gap, the current bar's low must be above the high from two bars ago (mirrored for bearish). Gaps smaller than a chosen multiple of ATR (a standard volatility unit, measured at the moment the gap forms) are ignored. By default these regular gaps stay INVISIBLE — they are tracked in the background purely as raw material for inversions, so the chart shows only what the tool is about: the inversion zones. One switch reveals them as a quiet context layer if you want to see what may flip next.
2. Regular FVG expiry (display): each displayed gap lives until price mitigates it, by your rules — at its 50% midpoint or only on a full fill, touched by any wick or requiring a candle close. Mitigated gaps disappear, or stay frozen as reference if you prefer. This controls only what you SEE.
3. Level memory (detection): independently of the display, every detected gap's price range is remembered for a set number of bars from its creation (Inversion Memory). A remembered level dies early if price closes through its far side and no opposing gap confirms within the pairing window (Pairing Window After Break) — that level is spent.
4. Inversion (iFVG): when a fresh gap forms in the OPPOSITE direction of a remembered level and their price ranges overlap, the inversion fires:
- The drawn zone is the intersection of the two full gaps: its top is the lower of the two gap tops, its bottom is the higher of the two gap bottoms.
- An overlap thinner than the Min FVG Size threshold neither draws a zone nor consumes the level.
- The zone is colored by its new role: support (a bearish gap was displaced upward through) or resistance (a bullish gap was displaced downward through).
- The zone is drawn starting from the ORIGINAL gap's origin, so you see the full history of the level — from the moment the imbalance first appeared, through the displacement that flipped it.
- The zone's age counter, retest and expiry logic are anchored at the inversion moment, not at the original gap.
5. Strong grading: the NEW (inverting) gap is measured. If its height is at least a chosen multiple of ATR AND the volume of its displacement candle exceeds the 20-bar volume average by a chosen multiplier, the inversion is tagged STRONG — the old gap was taken out with conviction on real participation, not by low-volume drift.
6. Inversion zone life: each iFVG shows its 50% equilibrium line (the consequent encroachment level), an age counter in bars, fires an alert on the first retest from outside, and expires by the same mitigation rules as regular gaps (50% or full, wick or close) once price trades through it against its new role.
Everything is evaluated on closed bars only, so zones, colors and labels do not repaint.
🔶 HOW TO ACTUALLY USE IT (STEP BY STEP)
1. Out of the box you see only inversion zones — that is the point of the tool. If you also want the raw material (regular gaps that may flip later), enable "Show Regular FVGs" and they appear as quiet green/red context boxes.
2. When a colored inversion zone appears, read its meaning: orange resistance = former demand that got displaced through downward; cyan support = former supply that got displaced through upward.
3. Give more weight to zones tagged STRONG — the inverting gap was large and backed by elevated volume, which traders treat as a more meaningful role-flip than a quiet leak.
4. The first return of price into the zone is the moment most iFVG traders wait for (there is a dedicated retest alert). Watch how price reacts there — rejection confirms the new role, a pass-through negates it.
5. The gray line inside each zone is its 50% midpoint (EQ) — many traders use it as the precise reaction level rather than the zone edges.
6. The age counter (e.g. "34b") tells you how long a zone has existed since its inversion — fresh zones are generally considered more reliable than stale ones, and you can enable fading to de-emphasize old zones automatically.
7. Combine with your own analysis of trend and higher-timeframe levels. The indicator describes structure; it does not predict.
If you want the full life cycle of REGULAR fair value gaps (creation, strength grading and retest alerts while they still act in their original direction), that is what our free Smart FVG indicator does — this tool picks up where it ends, at the moment a gap fails and flips. Both use the same visual language, so they pair naturally.
🔶 EVERY SETTING EXPLAINED
🔵Visualization group
- Bullish FVG / Bearish FVG — colors of the quiet regular-gap context layer.
- iFVG Support / iFVG Resistance — colors of the inversion zones.
- Show Regular FVGs — off by default: only inversion zones are displayed. Turn on to also see the not-yet-inverted gaps as context (hidden gaps are still tracked, so inversions keep firing either way).
- Show 50% Line (EQ) / EQ Line Color — the midpoint line inside each zone.
- Width Mode — how zones extend to the right: Dynamic (to the current bar), Fixed (a set number of bars), or Extended (infinitely).
- Fixed Width (bars) — zone width when Fixed mode is selected.
- Min FVG Size (x ATR) — the smallest height that registers, applied twice: to every new gap AND to the common ground of the two gaps (an overlap thinner than this neither draws a zone nor consumes the level); 0 disables both checks.
BEFORE ATR
AFTER ATR
🔵Mitigation group
- Delete Mitigated Zones — remove finished zones, or freeze them on the chart as reference.
- Mitigation Level — a zone is finished when price reaches its 50% midpoint, or only on a full fill.
- Mitigation Confirmation — what must reach that level: any wick, or a candle close.
- Inversion Memory (bars) — how long each detected gap's range stays eligible to form inversions, counted from the gap's creation and independent of when its box disappears from the chart. Larger = more inversions detected, including from older levels.
- Pairing Window After Break (bars) — once price CLOSES through the far side of a remembered gap, the opposing gap must confirm within this many bars for the inversion to count. If it does not, the level is treated as spent and dropped.
🔵Imbalance Age group
- Show Age Label — the bar counter inside each zone.
- Fade Old Zones / Max Age for Full Fade — gradually de-emphasize stale zones.
🔵Strong Inversion group
- Mark Strong Inversions — enables the two-condition strength check.
- Min Inverting Gap Size (x ATR) — condition 1: how large the inverting gap must be relative to volatility. Note this grades the STRONG tag only; it does not filter which zones appear (that is Min FVG Size).
- Min Volume (x SMA 20) — condition 2: how elevated the displacement candle volume must be versus its 20-bar average.
- Show 'STRONG' Tag — the text tag on qualifying zones.
🔵Labels group
- Show Labels / Label Text Color — master switch and color for all in-zone text.
- Label Offset (bars left of price) — keeps each zone's label trailing near the current bar so it stays readable, instead of sitting far back at the zone's left edge; 0 pins it on the current bar.
🔶 ALERTS
New iFVG Support / New iFVG Resistance / New STRONG iFVG / iFVG Retest / iFVG Mitigated — standard TradingView alert conditions. Select "Once Per Bar Close" when creating alerts for non-repainting behavior.
🔶 WHAT THIS TOOL DELIBERATELY DOES NOT DO
No buy or sell signals, no take-profit or stop-loss levels, no win-rate dashboard. Detecting a structural pattern is not the same as having a tradable edge, and presenting pattern marks as trade signals would overstate what any indicator of this kind can honestly claim. Use it as a lens for reading market structure, together with your own judgment.
Penunjuk
ADVANCE Smart Money Concepts WITH EMA [BY MR BASIT]Here is a professional English description for your Smart Money Concept indicator:
Smart Money Concept (SMC) Indicator
The Smart Money Concept (SMC) Indicator is a professional trading tool designed to help traders identify institutional market behavior and high-probability trading opportunities with a clean and easy-to-read chart layout.
This indicator combines the most important Smart Money Concept elements into a single system, including Market Structure Shift (MSS), Break of Structure (BOS), Change of Character (CHoCH), Order Blocks, Fair Value Gaps (FVG), Equal Highs (EQH), Equal Lows (EQL), Liquidity Zones, and session-based analysis.
Key Features:
• Automatic detection of Bullish and Bearish BOS and CHoCH.
• Identification of institutional Order Blocks and mitigation zones.
• Fair Value Gap (FVG) detection for imbalance trading opportunities.
• Equal High and Equal Low recognition for liquidity targeting.
• High and Low marking for important market levels.
• Clean and professional labels for improved chart readability.
• Integrated EMA 9 and EMA 15 for trend confirmation and trade filtering.
• Optimized for intraday, scalping, and swing trading strategies.
• Works across Forex, Indices, Commodities, and Cryptocurrency markets.
• Designed for TradingView with a focus on performance and visual clarity.
This indicator helps traders understand market structure from the perspective of institutional order flow, allowing for more informed trading decisions and better risk management.If you want, I can also create a shorter TradingView publish description or a premium-style commercial description for selling the indicator.
Penunjuk
Dynamic MSS Navigator [MarkitTick]💡 An advanced technical analysis tool engineered to automatically identify localized market structure, validate structural shifts, and dynamically generate risk-to-reward parameters. Built for systematic traders, it continuously scans price action to pinpoint candidate highs and lows based on user-defined lookback periods. Rather than relying on subjective charting, this indicator applies stringent mathematical logic—incorporating Average True Range (ATR) buffers, volume participation, and higher timeframe (HTF) alignment—to filter out market noise and present high-probability structural breaks. Once a valid break occurs, the indicator seamlessly transitions into trade management mode, drawing precise entry, stop-loss, and multiple take-profit levels directly onto the chart, accompanied by a comprehensive real-time data dashboard.
✨ Originality and Utility
● Automated Market Structure Mapping
The core utility of this indicator lies in its ability to remove human bias from market structure analysis. Traders often struggle with defining which highs and lows are structurally significant. This script mathematically defines them, tracking the absolute highest highs and lowest lows over a rolling window, and only recognizing a structural shift when a mathematically validated threshold is breached.
● Dynamic Risk-to-Reward Modeling
Unlike standard indicators that only print buy or sell arrows, this tool instantly calculates the exact risk parameter upon signal generation. By anchoring the stop-loss to the structural pivot with a built-in volatility buffer, it sizes the risk logically. It then extrapolates multiple take-profit targets based on fixed risk-to-reward ratios, providing a complete trade framework from inception to completion.
● Multi-Dimensional Filtering Mashup
This script operates as a highly cohesive mashup of distinct technical methodologies. It combines Donchian-style localized pivot detection for structure, Wilder’s Average True Range for volatility-based breakout validation, Simple Moving Averages of volume for participation measurement, and multi-timeframe security requests for overarching trend alignment. This combination ensures that a signal is only fired when price action, volatility, volume, and higher timeframe momentum are in total agreement.
🔬 Methodology and Concepts
● Localized Pivot Identification
The script continuously monitors the highest highs and lowest lows over a defined lookback period. When a new top is formed, it identifies the lowest point of that peak structure as the "Candidate Top Low." Conversely, when a new bottom forms, it marks the highest point of that valley structure as the "Candidate Bottom High." These form the immediate structural floors and ceilings.
● ATR-Buffered Breakout Logic
To confirm a shift, price must do more than just tick past the candidate line. The indicator requires price to breach the candidate level by an additional margin, calculated as a fraction of the current ATR. This ensures that only shifts with statistically significant momentum trigger a signal, heavily reducing false positives (fake-outs) during low-volatility chop.
● Composite Strength Scoring
Upon signal generation, the algorithm calculates a proprietary "Strength Score" from 0 to 100. This score is a weighted aggregate of three factors:
The distance of the closing price beyond the breakout threshold (measuring immediate momentum).
The current volume relative to its moving average (measuring market participation).
The alignment of the localized pivot with the higher timeframe pivot (measuring macro confluence).
● Dynamic Bias Tracking
The indicator tracks the ongoing market bias, classifying it as bullish, bearish, or neutral. A bullish bias is initiated upon a valid bottom break and remains intact until price breaches the newly established stop-loss level, at which point the bias flips or neutralizing protocols take over.
🎨 Visual Guide
● Chart Elements
• Candidate Lines
Dashed Red Lines indicate the support floor of a localized top. Dashed Green Lines indicate the resistance ceiling of a localized bottom. These project forward to show the exact price level that must be broken.
• Signal Markers
When a structural shift is validated, a solid Red Triangle appears above the bar for a bearish shift (labeled "BEAR"), and a solid Green Triangle appears below the bar for a bullish shift (labeled "BULL"). Small "+" cross icons appear for continuation signals where the trend is reinforced.
• Trade Projection Lines
A solid Red Line marks the calculated Stop Loss level. A dashed Blue Line marks the exact Entry Price. Dashed Teal Lines of varying opacities mark Take Profit 1 (TP1), Take Profit 2 (TP2), and Take Profit 3 (TP3).
• Zonal Fills
A semi-transparent Red Background fill connects the Entry line to the Stop Loss line, visually representing the initial capital risk. A semi-transparent Green Background fill connects the Entry line to the final TP3 line, representing the total projected reward zone.
• Heatmap Candles
The indicator takes control of the underlying candlestick colors to reflect the current structural bias. Deep Teal candles indicate an active bullish trend, Deep Red candles indicate an active bearish trend, and Gray candles indicate a neutral market state where structural direction is unresolved.
● Dashboard Readouts
A highly detailed heads-up display is rendered on the chart, featuring a dark background with bright, contrasting text. It provides rows of vital data including:
Last Signal and Trend State (e.g., HH-HL Up).
Candle Bias and a visual bar chart representing the Strength Score.
Confirmed Signal Count and Bars Since the Last Signal.
Active Position status, Entry Price, and Stop Loss Price.
Dynamic tick boxes for TP1, TP2, and TP3 displaying price levels and completion checkmarks.
Real-time Floating P/L (Profit/Loss) expressed in 'R' multiples.
Current ATR values and Volume vs Average visual bar meters.
Current state of Session and HTF filters.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Signal Execution
Traders should monitor the formation of the dashed candidate lines. When a breakout occurs, do not act prematurely; wait for the candle to close (if "Confirm by Close" is active) and ensure the primary signal triangle prints. This confirms that all volume and volatility parameters have been met.
● Assessing Trade Quality
Immediately consult the dashboard's "Strength Score." Higher scores (e.g., above 75%) indicate robust volume participation and excellent higher timeframe alignment, making them higher probability setups. Lower scores may warrant reduced position sizing or skipping the setup entirely.
● Trade Management
Utilize the dynamically plotted lines to set limit orders and stop losses in your execution platform. As price reaches TP1 and TP2 (indicated by checkmarks on the dashboard), consider trailing the stop loss to breakeven or the next logical structure point. If the candle heatmap shifts to gray (neutral) before reaching targets, it may be a prudent early exit warning.
⚙️ Inputs and Settings
● Core Settings
Lookback: Defines the number of bars used to identify localized tops and bottoms. Higher values find macro structures; lower values find micro structures.
Confirm by Close: Toggles whether the breakout must be confirmed by the candle's closing price or just the wick.
ATR Len & ATR Break Mult: Controls the volatility buffer required to validate a breakout.
● Filters
Volume Confirm: Requires breakout volume to exceed the moving average multiplied by the "Vol Spike Mult".
HTF Confluence: Restricts signals to those that align with the high/low structure of the user-defined Higher Timeframe.
Session Filter: Restricts signal generation to a specific daily time window (e.g., standard market hours).
● Trade Tools
TP1, TP2, TP3 R:R: Defines the static Risk-to-Reward multipliers for the take profit targets.
SL ATR Buffer: Adds additional breathing room to the stop loss beyond the absolute structural pivot.
● Visuals & Dashboard
Allows the user to toggle the display of candidate lines, heatmaps, and the main data dashboard, as well as reposition the dashboard to any corner of the screen.
● Alerts
Customizable string inputs for JSON payload generation, allowing traders to map long, short, close, trail, and target-hit actions directly to automated execution systems.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Dow Theory and Structural Extremes
The foundational logic of this script is rooted in classical Dow Theory, which posits that a trend is defined by a sequence of higher highs and higher lows (bullish) or lower highs and lower lows (bearish). By mathematically indexing `highestbars` and `lowestbars`, the script algorithmically isolates these fractal extremes, stripping away subjective human interpretation of market swings.
● Volatility-Normalized Breakout Thresholds
Financial markets are noisy, characterized by frequent false breaks (liquidity sweeps). This indicator employs Average True Range (ATR), a metric developed by J. Welles Wilder, to normalize the breakout threshold against current market volatility. By requiring price to exceed a structural level by a factor of the ATR, the algorithm relies on statistical significance—demanding that the breakout possesses enough standard deviations of momentum to be classified as a genuine shift in supply and demand, rather than random market drift.
● Volume Participation Theory
Drawing on Volume Price Trend (VPT) mechanics, the algorithm recognizes that price movement without volume is highly suspect. The implementation of a volume moving average filter ensures that structural breaks are validated by a true influx of market participation, confirming that the imbalance between buyers and sellers is robust enough to sustain a new directional vector.
● Automated Expected Value (EV) Projection
By mechanically tying the entry price to a mathematically defined stop-loss, and extrapolating predetermined Risk-to-Reward targets, the script enforces strict expected value mechanics. This removes emotional profit-taking, ensuring that winning trades scale out at mathematically optimal R-multiples (e.g., 1R, 2R, 3R), aligning the trader's execution with positive expectancy mathematical models over a large sample size of trades.
⚠️ 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. Penunjuk
EonMetrics Liquidity ToolkitLiquidity Toolkit by EonMetrics
WHAT IT DOES
Whenever price makes a swing high or a swing low, a cluster of pending stop orders tends to sit just beyond it — buy-stop orders resting just above a swing high, and sell-stop orders resting just below a swing low. This is what traders call "liquidity." Large market participants often push price briefly through one of these levels to trigger those resting orders (grabbing the liquidity) before reversing back the other way — which is why these levels frequently mark turning points, not just breakout points.
This indicator finds and tracks these levels automatically:
- Buyside Liquidity (BSL) — the resting buy-stop cluster above a swing high, drawn as a line until price reaches it.
- Sellside Liquidity (SSL) — the resting sell-stop cluster below a swing low, drawn the same way.
- Equal Highs / Equal Lows (EQH / EQL) — when two or more swing highs (or lows) line up at almost the same price, that's a bigger, more obvious pool of resting orders (a double or triple top/bottom) — a stronger magnet for price than a single level.
- Liquidity Sweep — the actual moment a level gets taken: a wick pierces through it and price closes back on the original side. This can optionally require above-average volume on that candle, so you only see genuine, forceful grabs instead of every minor wick poke.
- Previous Day/Week High & Low (PDH / PDL / PWH / PWL) — the same tracking and sweep logic applied to yesterday's and last week's high/low, which tend to be some of the largest, most-watched liquidity targets of all.
Every level also shows a strength tag — the actual volume traded when it formed, plus how many times average that is (e.g. "340k (2.3x)") — so you can tell a level that formed with real conviction from one that formed on a quiet, unremarkable candle.
HOW TO ACTUALLY USE IT (STEP BY STEP)
1. Decide which side you're watching, then wait for the actual sweep — don't trade a level just because it's sitting there on the chart.
- Looking to go short? Find a Buyside Liquidity (BSL) level (or an Equal High) sitting above the current price, and wait for the sweep marker to appear — a wick punches through it, then price closes back below it.
- Looking to go long? Find a Sellside Liquidity (SSL) level (or an Equal Low) sitting below the current price, and wait for the sweep marker there — a wick punches through it, then price closes back above it.
2. Give extra weight to Equal Highs/Lows (marked EQH/EQL, especially ones with a "x2" or "x3" touch count) and to the Previous Day/Week High/Low lines — these are the bigger, more heavily-defended levels, so a sweep there tends to matter more than a sweep of a single minor swing.
3. Check the strength label on the swept level before acting — a sweep that happened on 2x average volume or higher is a far more convincing signal of a genuine reversal than one on below-average volume.
4. Treat the sweep as your trigger, not the resting level itself: a Buyside sweep points you toward looking for shorts, a Sellside sweep points you toward looking for longs.
5. Levels that get swept turn gray and dotted automatically — that tells you at a glance which levels have already been taken and are no longer valid targets, versus which ones are still resting and still ahead of price.
EVERY SETTING EXPLAINED
General group
- Swing Length (bars) — how many candles on each side must be lower/higher for a point to count as a real swing. A bigger number only catches major, more significant levels; a smaller number catches minor ones (more levels, more frequently).
- Max Levels Tracked — the maximum number of levels kept on the chart at once. Once you go over this, the oldest one is dropped. Lower this for a cleaner chart and better performance.
Buyside / Sellside Liquidity group
- Show BSL / SSL Levels — master on/off switch for these lines.
- Buyside (BSL) Color / Sellside (SSL) Color — line colors for each type.
- Line Width — thickness of the level lines.
- Line Style — solid, dashed, or dotted.
Equal Highs / Equal Lows group
- Highlight Equal Highs / Lows — turns on the automatic merging of two nearby swing highs (or lows) into one highlighted EQH/EQL pool.
- Equality Tolerance (x ATR) — how close two levels need to be in price (relative to recent volatility) to count as "equal." A larger value merges more loosely (more pairs count as equal); a smaller value requires them to be nearly identical.
- Equal High (EQH) Color / Equal Low (EQL) Color.
- Extend EQH/EQL Right — when off (default), an equal pool is just drawn as a short connector between the two matching swings. When on, it's also projected forward to the right as a live target, the same way single BSL/SSL levels are.
Level Strength group
- Show Level Strength — adds the volume text tag to every level (raw volume plus the multiple vs. the recent average, e.g. "340k (2.3x)"). Equal pools also show how many times that price has been touched (e.g. "EQH x3"). Turn this off for a cleaner look with just the lines and BSL/SSL/EQH/EQL tags.
Liquidity Sweep group
- Show Sweep Markers — turns on the small marker that appears the moment a level is swept.
- Enable Volume Filter — when on, a sweep is only confirmed if the candle that caused it traded on unusually high volume, filtering out weak/low-conviction wicks.
- Volume Multiplier vs. Average — how many times above the average volume that candle must trade to confirm a sweep. Only used when the Volume Filter above is on.
- Volume Lookback (bars) — how many past candles are averaged together to calculate that "average volume" baseline.
- Swept Level Color — the color a level turns once it has been taken, so already-used levels are still visible but clearly distinguished from live ones.
Higher-Timeframe Liquidity (PDH / PDL / PWH / PWL) group
- Show Previous Day High / Low — turns on tracking of yesterday's high and low as full liquidity levels (works on intraday charts only).
- Show Previous Week High / Low — turns on tracking of last week's high and low the same way (works on intraday and daily charts).
- Prev Day (PDH / PDL) Color / Prev Week (PWH / PWL) Color.
- HTF Line Width — thickness of these lines. Thicker by default than regular swing levels, since they're generally the more important reference points.
Labels group
- Show Level Labels — master switch for all the small text tags (BSL / SSL / EQH / EQL) shown on each level.
- Label Size — Tiny, Small, or Normal text size for those tags.
Penunjuk
Dealing Range by EonMetricsDealing Range by EonMetrics
WHAT IT DOES
This indicator draws one box around the exact price range you're currently trading inside — from the most recent significant low up to the most recent significant high (or vice versa). It then splits that box into two halves at the exact middle: the top half is labeled "Premium" (price here is relatively expensive — a place to look for selling opportunities) and the bottom half is labeled "Discount" (price here is relatively cheap — a place to look for buying opportunities). The exact halfway line is called "Equilibrium" — a common point where price pauses or reverses.
Instead of waiting for both ends of the range to fully finish forming (which most similar tools do, and which makes the box lag behind price), one end of this box is locked to the last confirmed turning point, while the other end keeps following the live price in real time. This means the box always contains the current candle and never leaves it stranded outside — you're never looking at a stale, outdated range.
HOW TO ACTUALLY USE IT (STEP BY STEP)
1. Decide which side you want to trade, then wait for price to come to you — don't chase it in the middle of the box.
- Looking to buy (go long)? Wait for price to fall all the way down into the green Discount zone before considering an entry.
- Looking to sell (go short)? Wait for price to rise all the way up into the red Premium zone before considering an entry.
2. Once price reaches the zone you're waiting for, look for an actual trigger before entering — a reversal candle, a price gap, a small break of structure — rather than buying or selling the instant price merely touches the colored area.
3. Treat the Equilibrium (halfway) line as a "fair value" reference — price often reacts around this line before deciding its next move, so it can act as a first target or a place price pauses on the way to the far zone.
4. Watch the two dots marking the range's boundaries (0 = the low, 1 = the high) — these are the exact swing points the box is built from.
5. The box updates and can shift over time as new swings form — that's expected behavior, not a bug; it means the range is following the market's current structure.
EVERY SETTING EXPLAINED
Range Detection group
- Swing Length — how many candles on each side must be smaller/bigger for a point to count as a real turning point. A bigger number only catches major, important swings (slower-updating, bigger ranges); a smaller number catches minor ones (faster-updating, smaller ranges).
- Lock Range Until Band Break — when ON (recommended), the box stays fixed in place while price bounces around inside it, and only redraws once price actually breaks all the way out through the top or bottom. When OFF, the box updates every time a new turning point confirms, which reacts faster but can shift the box around more while you're watching it.
Visualization group
- Premium Zone — fill color of the top (expensive) half.
- Discount Zone — fill color of the bottom (cheap) half.
- Boundary Lines (0 / 1) — color of the lines marking the very top and bottom of the box.
- Show Equilibrium (50%) — turns the halfway line on or off.
- Equilibrium Color.
- Equilibrium Style — solid, dashed, or dotted line.
- Extend Right — stretches the box and lines all the way to the right edge of your chart. Turn off to have them stop at the current candle instead.
Swing Markers group
- Show Swing Points — turns on two small dots marking exactly where the box's high and low come from.
- High Swing (1) / Low Swing (0) — colors for those two dots.
Labels group
- Show Fib Levels (0 / 0.5 / 1) — labels the bottom of the box as "0", the middle as "0.5", and the top as "1" (standard reference numbers used to describe where price sits inside the range).
- Show Premium / Discount Labels — writes the words "Premium" and "Discount" inside each half.
- Show Prices — adds the actual price number next to the 0 / 0.5 / 1 labels.
- Label Position — puts the text labels on the right side (following the current candle) or the left side (where the range originally started).
- Label Text Color.
Penunjuk
ICT Killzones | EonMetricsICT Killzones by EonMetrics
WHAT IT DOES
This indicator draws colored boxes on your chart during the hours when big institutional traders are historically most active — these time windows are called "killzones." Each box tracks the highest and lowest price reached while that session is open. When the session ends, the box "seals" and its high and low turn into lines that stretch forward — these are levels price is likely to react to later, so you can see them long after the session is over.
It also draws simple opening-price and high/low lines for the Day, Week and Month, plus the previous day/week/month's numbers. These are shown in the same script as the killzones because they answer the same question at two different zoom levels: "where is the market's attention right now" — killzones tell you that at the hour-by-hour level, and Day/Week/Month tell you that at the bigger-picture level. Traders normally watch both together, which is why they're combined here instead of split into two separate tools.
HOW TO ACTUALLY USE IT (STEP BY STEP)
1. Watch the Asian session box first. It's usually a quiet, narrow range — this range often becomes the "bait" that later sessions test.
2. When London or New York opens, watch for a fast move that quickly reverses (price pokes above/below the recent range and snaps back). This fake-out is common at session opens — the real move often goes the opposite way.
3. Use the high/low lines left behind by earlier sessions as your targets. If price is moving up, the next line above it (an earlier session's high, or the day/week open) is a natural place price may reach and react.
4. Check the Previous Day Close and Week Open lines for context — is today trading above or below yesterday's close? Above or below this week's open? That tells you the bigger picture bias.
5. Turn on "Show Yesterday" if you want to compare today's session ranges against yesterday's.
EVERY SETTING EXPLAINED
Killzones group
- Show Asian / London Open / NY Pre-Market / NY Open / London Close / NY Lunch / NY PM — turns each individual session box on or off. All times are New York time and automatically adjust for Daylight Saving.
- Show Yesterday — also draws all the above boxes for the previous trading day.
Custom Killzone group
- Show Custom KZ — turns on an extra session box that you define yourself (for a market's own open, a prop-firm trading window, or any other hours you want tracked).
- Custom Session — the start-end time of your custom window (24-hour format). If the end time is earlier than the start time, it automatically understands the session crosses midnight.
- Session Timezone — which timezone your custom time window is read in. "Exchange" uses the timezone of whatever symbol you have open.
- Label Name — the name shown on your custom box and its high/low lines.
- Custom Color — the color of your custom box and lines.
Colors group
- One color picker per killzone — sets the fill color of that session's box.
Style group
- Show Box Label — shows the session's name written inside its box while it's still active.
- Show Pivots (H/L) — after a session ends, draws its high and low as lines going forward. Turn this off if you only want the boxes, no forward lines.
- Show Midpoint (50%) — also draws a line at the exact halfway point of each finished session's range.
- Pivot Line Width — how thick the high/low lines are.
- Pivot Style — solid, dashed, or dotted line for the high/low lines.
- Midpoint Style — solid, dashed, or dotted line for the halfway line.
- Show Pivot Labels — shows small text tags (like "London H") at the end of each line.
- After Mitigation — choose what happens once price actually breaks through a level: "Stop at mitigation" freezes the line exactly where it was broken (so you keep a record of where it happened), or "Delete on mitigation" removes it completely for a cleaner chart.
- Alert Broken Pivots — sends you an alert whenever price breaks through one of these levels.
Day / Week / Month group
- Day Open / High-Low, with its own color — today's opening price, and optionally today's high/low, updating live.
- Prev Day Open / Close / High-Low, with its own color — yesterday's numbers, useful as reference points for today.
- The same three lines (Open, High/Low, and Previous versions of each) are repeated for Week and Month.
- Line Style / Line Width — applies to all of the Day/Week/Month lines at once.
- Show Labels — turns the text tags for these lines on or off.
Penunjuk
Smart FVG by EonMetricsSMART FVG
What it does
A "Fair Value Gap" (FVG) is a small gap left behind in price when a move happens so fast that a whole price area gets skipped over — nobody actually traded there. It shows up as a gap between three candles in a row. These gaps often get "filled" later, meaning price comes back to trade through that skipped area before continuing on its way (or reversing). This indicator finds these gaps automatically and draws a box around each one.
It also tells you which gaps look more important: a gap is marked "STRONG" only when BOTH of these are true at the same time — the gap is unusually large (measured against recent average volatility) AND the candle that created it traded on unusually high volume. Both conditions have to be true together; a big gap on quiet volume, or high volume with only a small gap, does not count as Strong. This two-part check is stricter than simply flagging "any big gap," which is what most similar tools do.
How to actually use it (step by step)
Let gaps form naturally as price moves. Each one is drawn as a colored box — green/cyan-ish tones for bullish (demand) gaps, red/orange tones for bearish (supply) gaps.
Pay extra attention to boxes marked "STRONG" — these represent a real, forceful, high-conviction move, not just random noise.
When price comes back down (or up) into a gap box, that's a potential trade opportunity — buy near a bullish gap, sell near a bearish gap — especially reacting at the dotted 50% line drawn through the middle of the box.
Look at the small number in the corner of each box — it counts how many candles ago the gap formed. A small number (fresh gap) is generally considered more reliable than a large number (old, already-tested-many-times gap).
If you turn on the higher-timeframe overlay, you'll also see gaps from a bigger timeframe (marked "HTF") plotted directly on your current chart — these represent bigger, more significant levels than same-timeframe gaps.
Every setting explained
Visualization group
Bullish FVG / Bearish FVG — the fill color for ordinary gaps.
Strong Bullish FVG / Strong Bearish FVG — the fill color for gaps that pass the "Strong" test above.
Show 50% Line (EQ) — draws a line through the exact middle of every gap box; this is a common spot for price to react to.
EQ Line Color.
Width Mode — controls how far the box stretches to the right: "Dynamic" keeps growing the box to reach today's candle in real time, "Fixed" stops the box at a set number of candles wide, "Extended" stretches the box all the way to the right edge of your screen forever.
Fixed Width (bars) — how many candles wide the box is, only used when Width Mode is set to Fixed.
Min FVG Size (x ATR) — the smallest gap size the script will bother drawing, measured against recent average volatility. Raise this to ignore tiny, insignificant gaps; set to 0 to see every gap no matter how small.
Mitigation group (mitigation = "price has now traded back through the gap")
Delete Mitigated Zones — when turned on, a gap box disappears completely once price fills it. When off, it stops growing and stays on the chart as a faded historical marker.
Mitigation Level — decide what counts as "filled": either price reaching the halfway (50%) point of the gap, or price completely closing the entire gap.
Mitigation Confirmation — decide what counts as reaching that level: any wick poking into it ("Wicks"), or a full candle close past it ("Close" — stricter, fewer false triggers).
Imbalance Age group
Show Age Label — displays a small number (like "34b") showing how many candles ago the gap was created.
Fade Old Zones — when turned on, gap boxes slowly become more transparent as they age, so your eye is naturally drawn to the freshest ones.
Max Age for Full Fade (bars) — how many candles it takes for a gap to reach maximum fade/transparency.
Strong Imbalance group
Mark Strong Imbalances — master on/off switch for the whole Strong-gap detection described above.
Min Gap Size (x ATR) — how big the gap must be (relative to recent volatility) to count toward "Strong" — this is one of the two required conditions.
Min Volume (x SMA 20) — how much higher than the recent 20-candle average volume the gap-forming candle's volume must be — this is the second required condition. Both this and the size condition must be true at the same time.
Show 'STRONG' Tag — shows the word "STRONG" written inside qualifying gap boxes.
Labels group
Show Labels — master switch for all text written inside gap boxes (age number, STRONG tag, HTF tag). Turn this off to hide all text and keep only the colored boxes.
Label Text Color.
MTF FVG group (MTF = "multiple timeframes")
Show Higher Timeframe FVGs — turns on the overlay of gaps from a bigger timeframe, drawn directly on your current chart.
Higher Timeframe — which bigger timeframe to pull gaps from (should be higher than whatever timeframe you're currently viewing).
HTF Bullish FVG / HTF Bearish FVG — colors for these imported higher-timeframe gaps.
Show HTF Label — shows an "HTF" tag inside these imported gaps so you can tell them apart from same-timeframe ones. Penunjuk
EonMetrics MTF Supply & Demand ZonesMTF SUPPLY & DEMAND ZONES
What it does
A "supply and demand zone" is a small area on the chart where price paused quietly for a few candles, and was then immediately followed by one strong, decisive candle that shot away from it in one direction. That quiet pause is where this indicator draws its zone — the idea being that this is where a large amount of buying or selling built up right before the big move, so price is likely to react again if it ever comes back to that exact area.
The key part of this tool is that it does this search across up to six different timeframes at the same time — your current chart's timeframe plus up to five higher ones (like 15-minute, 1-hour, 4-hour, Daily) — and draws all of them directly onto the chart you're actually looking at. This means if you trade on a 5-minute chart, you can still see a major 4-hour or Daily zone approaching, without ever switching your chart away from the 5-minute view.
How to actually use it (step by step)
Watch price as it approaches a colored box. Green boxes are "demand" zones (expect a possible bounce upward). Red boxes are "supply" zones (expect a possible bounce downward).
Pay more attention to boxes tagged with a bigger timeframe (like "4H" or "D") — these represent more significant, longer-term levels than a box tagged "5m" or "15m".
When price actually returns into a box, a small "R" letter appears — that's your cue that a retest is happening right now, worth watching closely for a reaction.
If a box's tag shows more than one timeframe at once (for example "15m, 1H"), it means multiple timeframes agree on almost the exact same price level — generally a stronger, more meaningful zone than one confirmed by only a single timeframe.
If a box gets fully broken through (depending on your settings, either by a wick or by a candle closing past its far edge), that zone has failed and should no longer be trusted — either it disappears from the chart or stays visible dimmed out, depending on your setting.
Every setting explained
Detection group
Sensitivity — controls how strong and sudden the "breakout candle" must be before its pause area counts as a zone. Lower numbers require a much stronger candle (fewer zones, but stronger ones); higher numbers accept weaker candles (more zones, more frequent but less significant).
Min Base Candles — the minimum number of small pause candles required right before the strong candle for it to count as a real zone. A higher number demands a proper, visible pause; a lower number (like 1) also accepts a zone built from just a single quiet candle.
Max Base Candles — how far back the script is allowed to look for pause candles. This mostly just prevents extremely long pauses from creating unusually oversized zones.
Base Candle Max Size (x impulse) — how small each pause candle must be compared to the strong breakout candle to actually count as "part of the pause." Lower values demand a very obvious size difference between the quiet candles and the big one.
Zone Size Multiplier — makes every drawn zone box slightly bigger or smaller than its natural measured size, without changing where it's centered.
Min Zone Height (x ATR) — throws out zones that are too thin/flat to be meaningful (basically just noise). Raise this if you keep seeing tiny, unhelpful zones.
Max Zone Height (x ATR) — throws out zones that are too tall — a pause that large usually isn't really a tight pause, just a wide sideways range, and produces low-quality zones.
Timeframes group
Six on/off + timeframe pairs — turn each timeframe slot on or off, and pick which timeframe it should scan. Leaving a timeframe box empty means "use whatever timeframe my chart is currently on."
Zone Behavior group
Retest Trigger — decide what counts as price "returning" to a zone: any wick poking into it ("Wick" — earliest, most sensitive), or a full candle close inside it ("Close" — stricter, fewer false signals).
Zone Invalidation — decide what counts as a zone being broken/failed: a candle closing all the way through the far edge ("Close" — recommended, survives brief stop-hunt wicks), or any wick trading through it ("Wick" — kills the zone immediately, more sensitive).
Skip Overlapping Zones — when a new zone from one timeframe lands on almost the same price as an existing zone from another timeframe, this merges them into a single box (showing both timeframe tags) instead of drawing two overlapping duplicates.
Overlap Threshold — how much two zones need to overlap before they're considered "the same level" and merged together. Lower values merge more aggressively; higher values keep each timeframe's version separate more often.
Max Active Zones per Timeframe — the maximum number of zones from a single timeframe kept on the chart at once (the oldest one is dropped once you go over this). Since several timeframes can be active at once, the total on-screen count adds up across all of them.
Keep Broken Zones on Chart — when turned on, a zone that fails stays visible but dimmed with a dashed border (useful for reviewing which levels didn't hold). When off, failed zones are removed immediately.
Zone Display Range (x ATR) — temporarily hides zones that are currently very far away from price, just to reduce clutter. Hidden zones keep working in the background and reappear automatically once price gets close again. Set to 0 to always show every zone regardless of distance.
Style group
Supply / Demand — the fill colors for red (supply) and green (demand) zones.
Show Timeframe Label — prints which timeframe each zone came from directly inside the box.
Show Zone Mid-Line — adds a dotted line through the exact middle of every zone, sometimes used as a more precise reaction point.
Show Retest Markers — turns the small "R" touch-markers on or off.
Alerts group
New Zone / Zone Retest / Zone Break — turn each alert type on or off individually. In TradingView's own "Create Alert" window, choose "Any alert() function call" to receive the full, detailed messages (direction, timeframe, exact prices) for all of them at once. Penunjuk
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. Penunjuk
FxNeel Institutional Swing & FVG MatrixDeveloped under the FxNeel, this open-source Pine Script v6 indicator is designed for professional traders utilizing advanced market structure frameworks and institutional volume tracking. The script focuses on identifying clear structural key points while maintaining chart cleanliness through intelligent filtering.
Key Features:
Four-Way Independent Swing Structure: It dynamically tracks Short-Term Highs (STH), Short-Term Lows (STL), Intermediate-Term Highs (ITH), and Intermediate-Term Lows (ITL).
Automatic Overlap Filter: To ensure chart clarity and prevent clutter, the indicator automatically removes minor STH/STL lines and labels once a major institutional pivot (ITH/ITL) is fully confirmed.
Dynamic Fair Value Gap (FVG) Engine: It tracks dynamic market imbalances (Bullish/Bearish FVGs) with real-time, state-based mitigation logic, modifying or removing zones as price action tests the gaps.
Granular UI Customization: Features a fully structured settings panel where visibility, line styles, text colors, and exact 4-way label alignments (Vertical and Horizontal) can be customized independently for each swing type. Penunjuk
