SMC Analytics Pro Hey traders! 👋
Finding a clean, non-lagging Smart Money Concepts (SMC) indicator on TradingView can be frustrating. Most public scripts end up squishing your chart scale , lagging your browser, or cluttering your screen with hundreds of overlapping boxes. 😩
So I decided to code a complete, ultra-precise Smart Money Concepts engine in Pine Script v5—rebuilt from the ground up to keep your charts smooth, clean, and 100% accurate! 🚀✨
The Core Idea: Institutional trading isn't about guessing where price is going—it's about tracking where bank liquidity lives. This indicator maps out market structure, institutional order blocks, and imbalance gaps without crowding your price action.
🔥 Key Features That Make This Unique
Dual Structure Architecture: Automatically plots both Internal Structure (micro scalp breaks) and Swing Structure (macro trend breaks) so you never trade against the major market trend.
Structure-Triggered Order Blocks (OB): No more clutter! OBs are drawn only when a real Break of Structure (BOS) or Change of Character (CHoCH) occurs at the origin of the impulse move.
Real-Time Mitigation Engine: When price retraces and touches an Order Block or fills a Fair Value Gap (FVG), the zone automatically vanishes in Present Mode to keep your chart tidy.
Fixed Chart Scale Guarantee: Unlike other SMC scripts that distort your vertical price scale and make candles look flat, this indicator keeps your chart scaling perfectly proportioned on every single timeframe! 📈
Fair Value Gaps (FVG): Identifies genuine 3-candle imbalance gaps where big money stepped in with aggressive market orders.
Liquidity Pools (EQH / EQL): Highlights Equal Highs and Equal Lows where retail stop losses are sitting waiting to be swept.
Dynamic Equilibrium (50%) Level: Displays the exact 50% midpoint of the active swing range so you always know if you're buying in Discount or selling in Premium .
🛠️ How to Use This in Your Trading Setup
Identify the Macro Trend: Look for solid green/red BOS lines and check if swing points are making Higher Highs (HH) or Lower Lows (LL).
Wait for Price to Enter a Zone: Look for price to retrace back down into an unmitigated Bullish Order Block or fill a Bullish FVG below the Equilibrium (50%) line.
Look for Internal Confirmation: Drop down to a lower timeframe and wait for a dashed iBOS / CHoCH break in your direction before taking the trade! 🎯
⚡ Multi-Timeframe Compatibility
Whether you are scalping the 1-minute chart on CAPITALCOM:NAS100 , day trading Forex on the 15-minute, or swing trading Crypto on the Daily, the logic adapts dynamically to any market and timeframe! 🌍
Inputs can be customized in the settings panel—feel free to tweak the pivot lookbacks to match your personal trading style.
If you find this indicator helpful for your daily analysis, please hit the Boost button 🚀 and leave a comment below! Happy trading! 🙌 Indicador
SMC Swing Structure + Order Blocks + CHoCH VolumeOrderBlock Radar — SMC Swing & Volume CHoCH
A Smart Money Concepts (SMC) toolkit that maps market structure and order blocks the way institutional order flow is typically read — without drowning your chart in noise from minor pivots.
What it does:
📊 Swing Structure (BOS / CHoCH) — Tracks the market's real trend using major swing highs and lows, not every small wiggle. A break with the trend is marked BOS (Break of Structure); a break against the trend is marked CHoCH (Change of Character) — the earliest, most reliable signal that momentum may be shifting.
📦 Order Blocks — Automatically plots the last opposing candle before each structural break — the classic "footprint" of where smart money likely entered before the move. Boxes extend forward and auto-delete once price mitigates them, so your chart only shows blocks that are still relevant.
🔊 Volume-Confirmed CHoCH — Not all character changes are equal. This indicator checks volume against its recent average at the moment of a CHoCH — when a break comes with a volume spike, it's tagged separately ("CHoCH ⚡Vol") and fires its own dedicated alert, helping you filter high-conviction reversals from low-volume fakeouts.
🔔 Built-in Alerts — Six alert conditions ready to go: bullish/bearish CHoCH, bullish/bearish CHoCH with volume confirmation, and bullish/bearish BOS. Set them once and get pinged the moment structure shifts.
Customizable settings:
Swing pivot sensitivity (how "major" a swing needs to be to count)
Optional internal (minor) structure overlay for extra context
Order block count limits, lookback range, and mitigation method (wick vs. close)
Volume average length and spike threshold
Full color and label control
How to use it: Best used as a structural context tool — combine CHoCH signals with your own entry confirmation (order block retest, FVG fill, liquidity sweep, etc.) rather than trading the label in isolation. Works on any timeframe and asset class; higher timeframes and liquid instruments tend to give the cleanest structure.
This is a technical analysis tool, not financial advice — always manage risk and confirm signals with your own strategy. Indicador
MTF Daily Bias DashboardOverview
The "MTF Daily Bias Dashboard" is a streamlined, non-intrusive utility designed specifically for Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies. Multi-timeframe analysis is the backbone of finding high-probability setups, but constantly switching between charts to check the higher-timeframe narrative can lead to missed lower-timeframe entries.
This indicator solves that problem by providing a clean, customizable on-chart dashboard that displays real-time, objective market bias across three different timeframes simultaneously.
Core Features
Objective Bias Detection: Bias is determined mechanically using a customizable Exponential Moving Average (EMA) and price action closes, removing emotion and guesswork from your directional bias.
Multi-Timeframe Synchronization: By default, it tracks the Daily (1D), 4-Hour (4H), and 15-Minute (15m) timeframes, giving you a complete top-down narrative at a glance.
Non-Repainting Logic: The multi-timeframe data is pulled securely, ensuring that historical signals remain accurate and current data does not repaint past the current candle formation.
Dynamic Visual Dashboard: A color-coded table (Green for Bullish, Red for Bearish) provides immediate visual confirmation of market alignment.
How It Works
The indicator evaluates the current price action against your chosen baseline (EMA).
Bullish (Green):Price closes above the EMA, and the current candle closes higher than the previous candle.
Bearish (Red): Price closes below the EMA, and the current candle closes lower than the previous candle.
Confluence: When all three timeframes show the same color, you have high-probability directional alignment, perfect for looking for lower-timeframe sweeps, order blocks, or fair value gaps in the direction of the trend.
Customization & Settings
Timeframes: Fully adjustable inputs allow you to change the three monitored timeframes to fit your specific trading model (e.g., Weekly/Daily/1H or 4H/1H/5m).
Dashboard Positioning: You can move the dashboard to any corner of your chart to ensure it never obstructs current price action.
Trend Logic: Adjust the EMA length used to calculate the bias to make the indicator more or less sensitive to recent price action.
Who is this for?
This tool is ideal for SMC, ICT, and pure price action traders who rely on the daily narrative but execute on intraday timeframes. It keeps you aligned with the macro trend while you focus on micro executions. Indicador
Strong MTF Liquidity Matrix | ProjectSyndicateStrong MTF Liquidity Matrix
Strong MTF Liquidity Matrix puts four higher-timeframe charts on one screen and reads the same institutional map on every one of them — order blocks, fair value gaps, and resting liquidity — then ranks each zone by strength so you know which level actually matters. It's a command deck: your main chart stays clean while four live mini-panels track the structure above you, and the liquidity pools that price is really hunting sit directly on your candles.
Most multi-timeframe tools make you flip between charts. This one stops the flipping.
🔲 Four-Panel MTF Engine — the core. Four independent mini-charts render right on your pane — M30 · H1 · H2 · H4 by default, each one fully configurable to any timeframe (drop to seconds or push to Daily). Every panel fetches its own higher-timeframe candles, keyed on the HTF bar's own time, so the zones are invariant to your master chart timeframe — switch your main chart from M30 to H1 to D1 and the panels don't move. The last candle in each panel tracks the live, forming HTF bar tick by tick.
🟩 Order Block Detection — real ICT logic, per timeframe. Each panel runs a swing-pivot + displacement scan: the last opposing candle before an impulsive move that clears your displacement multiple becomes the order block. Bull OBs from swing-low reversals, bear OBs from swing-high reversals — detected natively on every one of the four timeframes at once.
🟥 Fair Value Gap Detection — the imbalance map. True three-candle FVGs on each timeframe, with an optional ATR gap filter so only gaps worth trading survive. Bullish and bearish gaps rendered in the original green/red palette, distinct from the order blocks, on all four panels simultaneously.
🧲 Universal Zone Height — the accuracy differentiator. Raw OB/FVG zones come in wildly different sizes and clutter the read. Every zone is normalized to one clean height — ATR-based or a fixed percentage of price — so the panels stay legible and every zone carries equal visual weight. Fair value framed; noise removed.
🔢 0–10 Strength Ranking — the power-ranking. Every zone earns a live grade, printed inside the shaded box (OB 8.5, FVG 6.0). Order blocks score on displacement force, zone height and age; fair value gaps score on gap size versus ATR. Set a minimum strength floor and the weak zones simply don't draw — only the levels that earned attention survive.
🌊 Liquidity Heatmap — resting pools on your main chart. Buy-side and sell-side liquidity, seeded from fractal swing highs and lows across two pivot passes, drawn as heat-weighted boxes whose opacity scales with liquidity weight (volume × range). Strong pools glow, weak ones stay faint. When price trades through a pool it's consumed — the zone freezes and fades to show exactly what's already been taken. Colours locked 100% to the OB/FVG palette: buy-side green, sell-side red.
🏷️ Clean Liquidity Labels — above the zone, never in the way. Each resting pool is tagged with its side (BSL/SSL), price, weight and distance from current price — anchored above the zone at its left edge so labels never overlap the fills and never protrude past the level. Read the map without the mess.
🧹 Clean-Chart Discipline — dashboard off by default. No stat panel competing with price. The liquidity dashboard exists — nearest SSL/BSL, hottest level, pool counts, consumed tally — but it's switched off out of the box. Turn it on only if you want it.
🎨 Fully Themed & Configurable. Neutral-gray candles that let the coloured zones pop, custom OB/FVG/liquidity colours, panel size and spacing, right-offset from live price, 2× timeframe labels, per-panel OB/FVG toggles, adjustable swing length, displacement, mitigation type (Touch / Full Fill / 50% Fill), gap filter, zone-height method, strength floor, pivot lengths, heat contrast, pool extension and cap.
🔒 Honest, Non-Repainting Core. Panel history is built from confirmed higher-timeframe bars only; the live forming candle refreshes as it builds — inherent to showing a real-time HTF candle, not a defect — while every closed bar is fixed. Liquidity pools consume on confirmed interaction and don't un-consume to flatter the chart. The 0–10 strength score is a descriptive ranking framework for directing attention, not a backtested edge.
🔔 Native Alerts — new sell-side pool and new buy-side pool formation.
🎯 Why this is different. MTF tools make you tab between charts and reconcile the structure in your head. Profile tools show you liquidity and leave the map disconnected from your entries. Strong MTF Liquidity Matrix holds all four higher timeframes in view at once, marks the order blocks and fair value gaps on every one of them, grades each so you know which to trust, and lays the liquidity price is actually hunting directly on your candles — so you read where structure sits, how strong it is, and where price is being pulled, at a glance.
🚀 Apply to Gold (XAUUSD), Silver, Forex, Crypto, Indices and Futures on any timeframe (liquidity heat requires a volume-bearing symbol).
💡 Cleanest setup: give the four panels room — nudge Right Offset and the panels sit clear of live price to the right, while liquidity zones map onto the candles on the left.
🎯 How To Trade It — Two Approaches
Everything hinges on one read the Matrix gives you at a glance: is higher-timeframe structure lining up, and is price being pulled toward unfilled liquidity?
◾ 1) Trade into confluence toward liquidity (the core thesis)
Use when a high-strength zone on a higher panel lines up with a resting liquidity pool in the same direction.
▪️ Scan the four panels for a strong OB or FVG (7+) on H1/H2/H4 sitting where price is heading.
▪️ Confirm a naked liquidity pool (BSL below / SSL above) as the magnet — the untested pools are where price is drawn.
▪️ Entry: as price reaches the higher-timeframe zone, in the direction of the unfilled liquidity beyond it.
▪️ Stop: beyond the zone; if price closes through and accepts, the level failed — stand aside.
▪️ Target: the nearest resting pool in your direction; the opposite-side pool if the move extends.
⚖️ The cleanest version: H1 and H2 panels both print a strong bull OB at the same area, a fat buy-side pool sits just below unconsumed, and the M30 panel shows price rotating down into it. Structure, strength and liquidity all point the same way. That confluence is the exact setup this tool was built to frame.
◾ 2) Stand down — the map says wait
The Matrix also tells you when there's nothing to do.
▪️ Panels disagree — a bull OB on H1 against a bear FVG on H4 is conflict, not confluence. Wait for alignment.
▪️ Liquidity already consumed on your side — the magnet's gone; the pull is spent.
▪️ No strong zone in range — low scores everywhere means no level worth risking on. Let it develop.
Rule of thumb: ⭐ Aligned high-strength zones + an unfilled pool in the same direction → trade into the confluence toward the liquidity. ⭐ Conflicting panels, consumed pools, or weak scores → stand down until the map agrees.
⚠️ IMPORTANT NOTICE: Strong MTF Liquidity Matrix is a structure-and-liquidity mapping tool. Order blocks, fair value gaps and liquidity pools are drawn from swing-pivot and gap logic — a model of institutional behaviour, not exchange order-book data. Liquidity weight is inferred from volume × range and requires a volume-bearing symbol. The 0–10 strength score is a descriptive ranking framework for directing attention — NOT a backtested signal and NOT a standalone trade trigger. Trading into higher-timeframe structure still carries real risk of failed levels and stop-outs. Always combine it with your own strategy, price-action analysis and risk management. Past behaviour does not guarantee future results. Indicador
Market Structure BOS, CHoCH, HH HL LH LL & Trend Health [LunqFX]Market structure is the skeleton of every trend: a series of higher highs and higher lows, or lower highs and lower lows, until a break says the trend has changed. This indicator maps that skeleton automatically — labelling every swing as HH, HL, LH or LL, drawing each Break of Structure (BOS) and Change of Character (CHoCH) — and adds one thing no other structure tool has: it tells you the trend is failing BEFORE the structure actually breaks.
❶ THE STRUCTURE MAP
▸ SWING LABELS — every confirmed swing point is labelled HH (higher high), HL (higher low), LH (lower high) or LL (lower low). The sequence of those four labels IS the trend, and having it on the chart removes the guesswork from reading price action.
▸ BOS — Break of Structure. Price closes through the last swing level in the direction of the trend: the trend is continuing. Drawn as a dashed line from the broken level with a BOS label.
▸ CHoCH — Change of Character. Price closes through the last swing level against the trend: the trend has flipped. Drawn as a solid, highlighted line — this is the reversal signal smart-money traders wait for.
▸ STRUCTURE CANDLES — the candles themselves are coloured by the structural trend, not by whether each bar closed up or down. Green means the market structure is bullish, violet means bearish, so the regime is obvious at a single glance. Their brightness fades as Trend Health falls.
❷ TREND HEALTH 0–100 — THE EARLY WARNING
Every other structure tool tells you a trend has ended after CHoCH prints. By then the move is already gone. Trend Health measures the two things that decay before every structure break:
▸ EXPANSION — in a healthy trend each new extreme clears the previous one by at least as much as the last leg did. When new highs barely exceed the old ones, the trend is running out of fuel.
▸ RETRACEMENT — in a healthy trend pullbacks stay shallow. When each pullback eats deeper into the previous leg, control is shifting to the other side.
Both are measured on the live leg, normalised by ATR so the score behaves the same on any symbol and timeframe, and blended into a single 0–100 reading. When it drops below your threshold the dashboard flags WEAKENING — while the trend is still technically intact. That is the warning CHoCH cannot give you, because CHoCH is confirmation, not anticipation.
❸ THE STRUCTURE TAPE
Instead of a table of numbers, the dashboard shows a timeline of the last five structure events, oldest to newest: BOS ▲ · BOS ▲ · CHoCH ▼ · BOS ▼. Reading the sequence tells you instantly whether the market is trending cleanly (a run of BOS in one direction) or chopping (CHoCH flipping back and forth) — context you cannot get from a single label on the chart.
❹ HOW TO TRADE IT
1 — Establish the bias from MARKET STRUCTURE in the panel. Bullish structure = look for longs, bearish = look for shorts. Do not fight it.
2 — Use BOS as continuation. A BOS in the direction of your bias confirms the trend is intact; the broken level often becomes support or resistance on the retest.
3 — Use CHoCH as the reversal trigger. A CHoCH against the prevailing trend is the earliest confirmed signal that structure has flipped. Wait for it before trading a reversal.
4 — Use TREND HEALTH for timing and risk. Health above 65 with a run of BOS on the tape = a clean trend, hold your position and trail. Health falling into WEAKENING = tighten stops, take partials, and stop adding — the structure is decaying and a CHoCH becomes more likely.
5 — Read the tape for market state. Several BOS in a row = trending market, trade continuations. Alternating CHoCH = choppy market, stand aside or trade the range instead.
❺ HOW IT WORKS
Swing points come from confirmed pivots, so a swing only exists once the bars on both sides of it have closed. The most recent swing high and swing low become the active structure levels. When a bar CLOSES beyond one of them (a wick-based mode is available), the break is registered: in the direction of the current trend it is a BOS, against it a CHoCH, and the trend state flips. Trend Health compares the size of the current expansion leg with the previous one in ATR units, and the depth of the latest pullback against the leg it retraced, then blends them 60/40 into the 0–100 score. Immediately after a CHoCH there is no second leg to compare yet, so the panel honestly reports NEW TREND instead of a misleading health reading.
Works on every symbol and timeframe — forex, gold, indices, crypto and stocks — because every threshold is either structural or ATR-normalised, with nothing to configure per market.
SETTINGS — swing length (how major a swing must be), break on close or wick, the health threshold that flags weakening, swing labels and BOS/CHoCH lines on/off, number of events kept, structure candles on/off, and dashboard position.
ALERTS — BOS up, BOS down, CHoCH up, CHoCH down, and Structure Weakening (the early warning).
NON-REPAINTING — swings are built from confirmed pivots and every break is validated on bar close. A label or line that has printed never moves or disappears.
Every component here describes the same object — the market's structure — at a different resolution: the swings build it, BOS and CHoCH break it, Trend Health measures its condition, and the tape is its history. That is why they belong in one tool rather than five.
This indicator is an educational market-analysis tool, not financial advice. Trend Health describes the current structure's condition and does not predict future prices. Always confirm with your own analysis and manage your risk.
Pre-publish checklist Indicador
HTF Power of 3 (PO3) with Trailing Stop🔵 OVERVIEW
The HTF Power of 3 (PO3) with Trailing Stop is a technical indicator created by BigBeluga to capture institutional market cycles based on Smart Money Concepts (SMC). Detecting market manipulation phases and structural accumulation zones has always been a major challenge in technical analysis, as traditional breakouts often lead to false signals and whipsaw trades. In order to provide a solution to this problem, this indicator maps higher timeframe (HTF) Power of 3 cycles—breaking price action down into Accumulation, Manipulation, and Distribution phases—combined with an advanced volatility-based trailing stop engine.
The indicator aims to visualize institutional order-building and subsequent expansions. The core element of its calculation involves tracking HTF session levels alongside a dynamic ATR-based trailing threshold defined as:
trailingStop = close ± currentAtr * trailMultiplier
where currentAtr is the standard Average True Range of period atrPeriod , and trailMultiplier is the sensitivity footprint multiplier. Higher values of accumMultiplier and trailMultiplier allow the indicator to adjust to longer consolidation periods and filter out minor market noise.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Auto HTF Matrix Mode & Session Engine
Dynamic Timeframe Scaling: When enabled, the indicator automatically scales the higher timeframe matrix dynamically based on your current chart timeframe context.
Session Tracking: Continuously calculates local open, high, low, and close parameters across higher timeframe layers to project real-time structural candles on the right side of your chart.
2 — Power of 3 (PO3) Phase Breakdown & Peak Labels
Accumulation Phase: Maps the initial consolidation boundary lines over a defined accumMultiplier bar count, outlining the high and low thresholds where institutional orders cluster.
Manipulation Phase & Peak Labels: Triggers automatically when price breaks out of the accumulation boundaries, identifying fakeouts and plotting a peak manipulation label marked with an M at the extreme high or low.
Distribution Phase & Peak Labels: Transitions into the expansion phase once the trailing stop is breached, tracking the final leg of the institutional delivery cycle and plotting a peak distribution label marked with a D .
3 — Dynamic Trailing Stop & Cloud Fill
Volatility Boundaries: Employs a robust ATR trailing line that shifts dynamically to lock in profits and signal shifts in market bias.
Visual Cloud Fills: Dynamically colors and fills the space between price action and the trailing stop line to offer clear visual confirmation of trend direction.
🔵 HOW TO USE
Apart from the basic visualization of institutional market cycles, this tool can also act in alternative ways to support decision-making:
Identify Accumulation Zones: Monitor the orange accumulation channel during the early stages of an HTF session to spot tight consolidation ranges before an expansion.
Trade the Manipulation Breakout: Wait for price to sweep outside the accumulation boundaries to trigger a "Manipulation" label and an M peak marker, signaling an institutional run on liquidity before the true directional move.
Manage Risk with Trailing Stops: Use the dynamic trailing stop line, cloud fill, and subsequent D distribution peak markers as a trailing stop loss mechanism to guide entries, manage open positions, and catch the final distribution leg.
🔵 NOTES
Why this implementation is unique:
It automates complex multi-timeframe ICT concepts directly onto lower timeframe charts without requiring manual chart reconfiguration.
The right-aligned visual projection engine gives traders a clear look at the developing higher timeframe candle and session metrics without cluttering active price history.
The script is fully optimized for Pine Script version 6, integrating seamless label sizing and automated line management for maximum rendering performance.
Indicador
Geometric Matrix Intelligence [GMI]Description:
Welcome to the Geometric Matrix Intelligence + Market Structure indicator. This script is a hybrid trading tool that merges advanced structural concepts (BOS/CHoCH) with geometric probability levels and volatility-based trend analysis.
Core Features:
Geometric Probability Levels (GMI):
When a shift in trend direction is detected based on our custom ATR volatility filter, the script automatically projects forward geometric expansion levels (Φ1 to Φ4). These levels are highly versatile:
Reversal Zones: Price often reacts directly at these mathematical levels, creating excellent pivot or bounce areas.
Take Profit (TP) Targets: Once you are in a trade, these expansion lines provide objective, dynamic targets to scale out or close your positions.
Market Structure (BOS / CHoCH):
Automatically identifies structural pivot highs and lows using a fractal length (defaulted to 12).
Plots pending "Candidate" structure lines (in blue by default).
Confirms Break of Structure (BOS) or Change of Character (CHoCH) when the price breaks these pivots, updating dynamically on your chart.
VWAP Integration:
Includes a built-in Volume Weighted Average Price (VWAP) as a primary institutional baseline to help gauge overall intraday or multi-day bias. (Enabled by default).
Interactive Trend Dashboard & Shading:
An on-chart dashboard tracks the immediate trend status, the initial trigger entry price, maximum projected targets (Φ4), and current ATR volatility.
Visual trend shading allows for immediate macro-trend recognition.
How to Use:
Watch for Market Structure shifts (BOS/CHoCH) aligning with the GMI generated levels.
Use the projected Φ levels as primary take profit targets when trading a newly confirmed structural break.
Monitor the VWAP to ensure your structural trades are on the correct side of the institutional volume average.
Disclaimer:
This script is provided for educational and informational purposes only. It is not intended to be a financial advice, investment recommendation, or a signal to buy/sell any asset. Trading in financial markets involves significant risk of loss. Always do your own research and test any indicator or strategy in a paper-trading environment before committing real capital. Indicador
QIFM SMC Market Structure QIFM SMC Market Structure — 2CR/2CG, BOS, CHoCH, FVG & OB
OVERVIEW
QIFM SMC Market Structure is a rule-based charting indicator designed to identify and display developing market structure using a custom Two-Candle Retracement framework.
The indicator combines:
• Two-Candle Retracement confirmation: 2CR and 2CG
• Developing and confirmed Break of Structure levels
• Pending and confirmed Change of Character levels
• Dual CHoCH identification
• Structure-based Fibonacci retracement levels
• Structure-leg Fair Value Gaps
• Order Blocks associated with accepted FVG patterns
• Previous Day High and Low
• Previous Week High and Low
• Optional candle classification and live OHLC analysis
This is a market-structure analysis tool. It does not place trades, calculate position size, or provide guaranteed buy and sell signals.
ORIGINALITY AND PURPOSE
The central feature of this indicator is its custom structure-confirmation sequence.
Instead of defining every local high or low as market structure, the script waits for a specific two-candle retracement condition before establishing a pending BOS level. Confirmed BOS and CHoCH events are then used to control where the indicator searches for FVG and Order Block zones.
The main original component is the sequencing of:
Impulse extreme → 2CR/2CG confirmation → pending BOS → confirmed BOS → protected CHoCH point → confirmed CHoCH → structure-leg FVG and OB filtering.
This structure-based filtering is intended to reduce the number of randomly marked gaps and blocks that are not connected to a confirmed market-structure event.
1. TWO-CANDLE RETRACEMENT: 2CR AND 2CG
The indicator uses two types of retracement confirmation.
2CR — Two-Candle Red Retracement
During a developing bullish structure:
• The script records a bearish candle as the first retracement candle.
• The next bearish candle must close below the low of the first bearish candle.
• When this condition is completed, the pattern is marked as 2CR.
• The highest price reached before the confirmed retracement becomes the pending bullish BOS level.
2CG — Two-Candle Green Retracement
During a developing bearish structure:
• The script records a bullish candle as the first retracement candle.
• The next bullish candle must close above the high of the first bullish candle.
• When this condition is completed, the pattern is marked as 2CG.
• The lowest price reached before the confirmed retracement becomes the pending bearish BOS level.
Inside-range behavior is also evaluated while the pattern is developing. A candle contained within the tracked range does not automatically confirm the retracement.
2. PENDING AND CONFIRMED BREAK OF STRUCTURE
After a valid 2CR or 2CG pattern, the script creates a waiting BOS line.
Bullish BOS:
• A 2CR confirms the retracement.
• The preceding bullish extreme becomes the pending BOS level.
• A bullish BOS is confirmed when a candle closes above that level.
Bearish BOS:
• A 2CG confirms the retracement.
• The preceding bearish extreme becomes the pending BOS level.
• A bearish BOS is confirmed when a candle closes below that level.
The waiting BOS line and the confirmed BOS line have separate style, width, and color controls.
A wick through the BOS level is not sufficient. BOS confirmation is based on the candle close.
3. PENDING CHoCH POINT
After a confirmed bullish BOS, the lowest point of the confirmed retracement becomes the bearish protected structure level.
After a confirmed bearish BOS, the highest point of the confirmed retracement becomes the bullish protected structure level.
This protected level is displayed as:
P.CHoCH — Pending Change of Character
The active pending CHoCH line represents the level that must be broken to confirm a potential change in the current market structure.
Users can separately display:
• The current pending CHoCH level
• Previous pending CHoCH levels
4. CONFIRMED CHANGE OF CHARACTER
A CHoCH requires two consecutive candle closes beyond the active protected level.
Bearish CHoCH:
• The current structure is bullish.
• Two consecutive candles close below the active bearish P.CHoCH level.
• The script marks a confirmed bearish CHoCH.
• The internal trend state changes from bullish to bearish.
Bullish CHoCH:
• The current structure is bearish.
• Two consecutive candles close above the active bullish P.CHoCH level.
• The script marks a confirmed bullish CHoCH.
• The internal trend state changes from bearish to bullish.
The candle colors are not used for CHoCH confirmation. Only the two consecutive closing prices relative to the protected level are evaluated.
5. DUAL CHoCH
The Dual CHoCH feature tracks an additional structural reference following a confirmed change in direction.
It is intended to highlight a secondary two-close break beyond the previous structural extreme. This can help users distinguish an initial change of character from a more developed structural transition.
Dual CHoCH lines, labels, colors, widths, and styles can be customized separately.
6. STRUCTURE-BASED FIBONACCI LEVELS
When a valid 2CR or 2CG creates a pending BOS setup, the indicator calculates Fibonacci levels across the relevant structure range.
The visible default levels are:
• 0.50
• 0.618
• 0.70
• 1.00
The script can display:
• The current structure Fibonacci
• A selected number of previous Fibonacci structures
• Individual Fibonacci level labels
• Custom colors, widths, and line styles
The 0.50-to-1.00 portion of the calculated range is also used internally as a location filter for qualifying FVG and Order Block zones.
In bullish structure, this generally represents the deeper or discount side of the measured range.
In bearish structure, this generally represents the deeper or premium side of the measured range.
Fibonacci levels are reference locations only. They are not automatic trade-entry signals.
7. FAIR VALUE GAP LOGIC
The script does not search for FVGs across every candle on the chart.
It searches for FVGs only inside confirmed BOS and CHoCH displacement legs.
Bullish FVG requirements include:
• A three-candle bullish wick imbalance
• The third candle’s low is above the first candle’s high
• The third candle closes above the second candle’s high
• Additional inside-candle checks reject compressed or fully contained formations
• The FVG and its associated Order Block must be positioned within the active Fibonacci filtering band
Bearish FVG requirements include:
• A three-candle bearish wick imbalance
• The third candle’s high is below the first candle’s low
• The third candle closes below the second candle’s low
• Additional inside-candle checks reject compressed or fully contained formations
• The FVG and its associated Order Block must be positioned within the active Fibonacci filtering band
Only qualifying structure-leg FVGs are displayed.
8. ORDER BLOCK LOGIC
For each accepted FVG pattern, the script defines the full high-to-low range of the first candle in the three-candle FVG formation as the associated Order Block.
The OB is therefore directly connected to:
• A confirmed BOS or CHoCH leg
• An accepted three-candle FVG pattern
• The active Fibonacci location filter
Bullish and bearish Order Blocks have separate visibility and color settings.
The OB zones are analytical reference areas. They should not be treated as guaranteed reversal or entry locations.
9. FVG AND OB MITIGATION
Users can choose between two FVG mitigation methods.
First Touch:
The zone is considered mitigated when price first enters the FVG boundary.
Full Fill:
The zone remains active until price reaches the opposite boundary of the FVG.
When mitigation occurs, users can choose to:
• Keep the zone as faded historical information
• Hide the completed zone
The associated OB is updated together with its corresponding FVG.
Historical zones show where a valid structure-leg imbalance previously existed. They do not indicate that the zone remains tradable.
10. PREVIOUS DAY AND PREVIOUS WEEK LEVELS
The indicator can display:
• PDH — Previous Day High
• PDL — Previous Day Low
• PWH — Previous Week High
• PWL — Previous Week Low
These values are taken from completed daily and weekly periods.
PDH and PDL alert conditions are included. An alert can be triggered when price touches the active Previous Day High or Previous Day Low for the first time relative to the preceding chart bar.
The levels are contextual liquidity references and are not independent buy or sell signals.
11. OPTIONAL CANDLE ANALYSIS
The optional live candle-analysis panel displays:
• Candle status: live or closed
• Bullish, bearish, or doji classification
• Open, high, low, and close
• Candle-body percentage
• Upper and lower wick sizes
• Full-range or body-inside classification
• Direct 2CR or 2CG close test
Users can also enable candle coloring based on the same classifications.
The panel is intended for studying the conditions used by the structure engine. It is not an order-execution panel.
HOW TO USE THE INDICATOR
1. Use a standard candlestick chart.
2. Select the symbol and timeframe appropriate for your analysis.
3. Observe whether the script is tracking a bullish or bearish structural sequence.
4. Wait for a confirmed 2CR or 2CG marker.
5. Observe the waiting BOS line created at the preceding impulse extreme.
6. Wait for a candle close beyond the waiting BOS line to confirm BOS.
7. After BOS, monitor the newly created P.CHoCH level.
8. A CHoCH is confirmed only after two consecutive closes beyond the protected level.
9. Use structure-leg FVG, OB, Fibonacci, PDH, PDL, PWH, and PWL zones as additional context.
10. Apply independent risk management and entry confirmation before making any trading decision.
The indicator is best used as a chart-organization and market-structure tool rather than as a standalone trading system.
IMPORTANT SETTINGS
2CR / 2CG Settings:
Control retracement labels, zone visibility, colors, and the maximum number of displayed zones.
BOS Settings:
Control waiting BOS lines, confirmed BOS lines, labels, colors, widths, and styles.
CHoCH Settings:
Control confirmed and pending CHoCH levels, previous protected levels, labels, colors, widths, and styles.
Dual CHoCH Settings:
Control secondary CHoCH lines and labels.
BOS Fib Settings:
Control the current Fibonacci structure, previous structures, visible retracement levels, labels, colors, widths, and styles.
FVG Settings:
Control bullish and bearish FVG visibility, mitigation method, active zones, historical zones, scan distance, colors, and maximum stored zones.
Order Block Settings:
Control bullish and bearish OB visibility, active zones, historical zones, text, borders, and colors.
Previous Day / Week Levels:
Control PDH, PDL, PWH, and PWL visibility and PDH/PDL alerts.
Candle Analysis:
Control the live OHLC panel and optional candle classification colors.
REAL-TIME BEHAVIOR
The current candle’s high, low, close, classification, developing structure, and panel values can change while the candle is still open.
Close-dependent conditions such as:
• 2CR confirmation
• 2CG confirmation
• BOS confirmation
• CHoCH confirmation
• FVG body confirmation
should be evaluated after the relevant candle has closed.
Confirmed historical calculations do not intentionally use future candles. Previous-day and previous-week levels are taken from completed reference periods.
LIMITATIONS
• The script begins with an internal bullish structure state and then adapts as confirmed structure events occur.
• Market structure depends on the selected symbol, timeframe, data feed, and available chart history.
• Lower timeframes may produce more structural changes and visual noise.
• A confirmed BOS or CHoCH does not guarantee continuation or reversal.
• FVG, OB, Fibonacci, PDH, PDL, PWH, and PWL levels can be crossed without producing a reaction.
• The script does not account for spread, commission, slippage, economic news, liquidity conditions, or position sizing.
• The number of displayed historical objects is limited by the selected settings and TradingView’s drawing-object limits.
• Results can differ between brokers or exchanges because their OHLC data may differ.
ALERTS
The current version includes alert conditions for:
• Previous Day High touched
• Previous Day Low touched
Users should create alerts from TradingView’s alert menu after adding the indicator to a chart.
EDUCATIONAL DISCLAIMER
This indicator is provided for technical-analysis, educational, and informational purposes only.
It is not investment advice, financial advice, or a recommendation to buy or sell any financial instrument. No market-structure event, FVG, Order Block, Fibonacci level, or previous-period level can guarantee a profitable outcome.
Trading and investing involve substantial risk. Users are responsible for independently evaluating all information, testing the indicator, managing their risk, and making their own trading decisions. Past market behavior does not guarantee future results.
Indicador
Fair Value Gap Detector | AlphaScript⚡ Fair Value Gap Detector
Most fair value gap indicators mark every three-candle gap on the chart — including the weak, meaningless ones. This tool only marks FVGs created by genuine displacement: a strong-bodied move that signals real institutional participation. Fewer gaps, but the ones that matter.
💡 What a fair value gap is
A fair value gap (FVG) is a three-candle imbalance where price moved so quickly that it left an unfilled gap. In a bullish FVG, the low of the third candle sits above the high of the first — the middle candle's move was so strong it skipped a price range where little trading occurred. Price often returns to "fill" these gaps before continuing, which is why traders watch them as potential entry and reaction zones.
🎯 Why displacement matters
A gap alone is not significant, gaps form constantly, most from weak or random price action. What makes an FVG worth trading is displacement: the middle candle being a large, decisive move that leaves the gap behind. This tool measures the middle candle's body against ATR and only registers the FVG when that body is large enough to qualify as real displacement, and when it moved in the gap's direction. The result is a chart showing institutional-grade gaps instead of noise.
🔍 How detection works
On each confirmed three-candle sequence the tool checks:
A valid gap exists (third candle's low above first candle's high for bullish; third's high below first's low for bearish).
The gap is at least a minimum size, measured as a multiple of ATR, so it is instrument-independent.
The middle candle's body is a genuine displacement — at least a configurable multiple of ATR — and pushed in the gap's direction.
Only sequences passing all three become FVG zones. The displacement requirement can be turned off if you prefer the classic "any gap" behavior.
🟩 Mitigation tracking
Each FVG zone stays active until price fills it. You choose how a fill is counted:
Touch — the gap is mitigated when price reaches its midpoint (the 50% level, where FVGs often react).
Close — the gap is mitigated only when price closes fully through it.
A midline marks the 50% level of every zone.
🎨 Customization
Bullish and bearish fill colors and opacity, midline display, and how far zones extend to the right (a configurable number of bars, so zones don't run infinitely across the chart, or fully infinite if you prefer). Separate toggles for bullish and bearish zones.
📈 How to use it
Treat an active bullish FVG below price as a potential demand zone and an active bearish FVG above price as potential supply. Watch for price returning to a zone — especially the 50% midline — as a possible reaction point, in the direction of the displacement that created it. Because only displacement gaps are shown, each zone represents a move with real momentum behind it rather than a random imbalance. Combine with your own structure and bias — the tool marks the zones, you make the decisions.
🔔 Alerts
Bullish FVG formed, bearish FVG formed, and mitigation alerts when a zone is filled.
⚙️ Settings
ATR length and minimum gap size, displacement requirement and strength, mitigation mode, zone extension length, colors, opacity, midline, and per-direction display toggles.
📌 Notes
FVGs are detected on confirmed bars only and do not repaint intrabar. Detection strictness depends on the gap-size and displacement settings — tune them to your instrument and timeframe. A fair value gap marks an area of potential interest, not a guaranteed reaction — always combine with your own analysis and risk management.
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Session Seasonality Deviation [MarkitTick]💡 A highly advanced analytical framework meticulously engineered to quantify, measure, and visualize volatility anomalies within specific, localized trading windows. By programmatically isolating price action strictly to predefined market hours—such as the London or New York opens—this tool establishes an objective statistical baseline of expected market movement based exclusively on historical day-of-the-week performance data. Rather than relying on lagging continuous averages, this mathematical model detects the precise moment a market transitions from baseline activity into statistically significant expansion or compression, providing an objective lens through which to view true price dynamics.
● ✨ Originality and Utility
Traditional volatility metrics and bands typically analyze continuous price data streams, inadvertently blending distinct, structurally different trading periods into a single, homogenized moving average. This generalized approach inherently degrades the accuracy of volatility forecasting. The core utility of the SSD indicator lies in its targeted isolation of distinct market sessions, mathematically acknowledging the reality that a Tuesday London session behaves with entirely different liquidity parameters than a Friday New York session.
By creating an isolated historical distribution for each specific day of the week, this tool offers a highly accurate, predictive baseline for expected volatility that adapts to the calendar. Furthermore, the integration of structural price action filters ensures that these statistical anomalies are always correlated with actual market mechanics, elevating the tool beyond simple moving average bands and providing a robust, multidimensional analysis of market intent.
● 🔬 Methodology and Concepts
This script operates on a sophisticated confluence of statistical profiling and structural market analysis, creating an unyielding logic engine designed to filter market noise.
Time-Series Stratification: The underlying logic initiates by isolating raw price data exclusively within a user-defined temporal window. It captures the extreme upper and lower boundaries of this session, establishing the true operational range and discarding irrelevant data from inactive hours.
Day-of-Week (DOW) Seasonality Profiling: Rather than utilizing a generic rolling lookback of consecutive calendar days, the algorithmic engine stores and categorizes historical session ranges based on the specific day of the week. It builds an independent, localized statistical distribution for each day, calculating the mean average range and the variance of those specific historical instances.
Standardized Deviation (Z-Score) Engine: The primary mathematical trigger relies on a rigorous Z-Score calculation. It compares the current session's confirmed range against the historical DOW average, divided by the established standard deviation. This quantifies exactly how far the current volatility deviates from the empirical historical norm.
Structural Confluence and Market Character: To prevent the system from acting on anomalous volatility that lacks definitive directional intent, the logic engine requires a structural confirmation. It evaluates recent high and low boundaries, demanding that the closing price breaches these structural bounds to validate the statistical signal and confirm a genuine shift in market character.
● 🎨 Visual Guide
The visual interface is precision-engineered for rapid cognitive interpretation of complex statistical states, designed to relay critical data without cluttering the charting canvas.
Dynamic Heatmap Candles: The primary price action is overlaid with a responsive heatmap. Candlesticks are colored dynamically to reflect the internal bias of the active session, providing an immediate visual cue of the dominant buying or selling pressure.
Average Range Bounds: Subtle, non-intrusive bracketing lines are plotted symmetrically around the session open, projecting the historical average range. This creates a visual baseline for expected session expansion, allowing the user to see when price escapes the statistical norm.
Actionable Trade Levels: Upon the generation of a confirmed signal, the tool plots projected Entry, Stop Loss, and multiple Take Profit coordinates. Chart labels are meticulously configured to display raw value strings without percentage signs, ensuring a clean, distraction-free presentation of critical price levels.
Analytical Heads-Up Dashboard: A sophisticated data table is rendered on the chart, centralizing key real-time metrics. It details the active session, current directional bias, real-time Z-Score, Sample Size validity, and structural state. The dashboard is explicitly designed to display a matching, comprehensive evaluation of both long and short transaction outcomes, ensuring a perfectly balanced view of all potential market trajectories.
● 📖 How to Use
Interpreting the output of this tool requires a methodical, step-by-step approach, focusing heavily on the intersection of statistical deviation and structural shifts.
Monitor the on-chart dashboard for the Z-Score to definitively exceed the user-defined deviation threshold, which serves as the primary indicator of a statistically significant expansion in volatility.
Verify the directional bias of the current session using the Heatmap Candles and ensure this localized momentum aligns with the broader, macro market structure.
Wait for a confirmed structural breach signal that perfectly matches the directional bias of the initial statistical deviation, ensuring momentum is backed by actual price displacement.
Utilize the automatically plotted Trade Action Levels for strict risk management. The Stop Loss is dynamically calculated based on historical variance, and Take Profit levels offer scaled, mathematically logical target zones.
Exercise extreme caution and avoid executing signals during periods of severe price compression, or when the dashboard indicates that the sample size of historical data is insufficient to form a mathematically reliable statistical distribution.
● ⚙️ Inputs and Settings
The configuration panel is categorized logically to allow for the precise, modular tuning of both the statistical engine and the visual outputs.
Core Settings: Select the target session (Asia, London, New York) and define the lookback period for the seasonality model. Adjust the precise Deviation Threshold (Z-Score limit) to control the strictness and sensitivity of the generated signals.
Filters: Toggle specific confirmation layers, including the minimum required historical sample size, minimum expansion criteria, and specific structural requirements necessary to validate a move.
Trade Tools: Calibrate the multiplier values for the dynamically calculated Stop Loss and Take Profit levels, allowing the user to seamlessly align the tool with their individual risk parameters and payout models.
Visuals and Dashboard: Customize the display properties of the heatmap candles, the average range bands, and the spatial positioning of the analytical dashboard to suit personal workspace preferences.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this analytical tool is deeply rooted in advanced Quantitative Finance, specifically drawing upon the established principles of Volatility Clustering and the Day-of-the-Week Anomaly. Academic literature frequently notes that financial markets exhibit leptokurtic distributions, wherein volatility is not a constant force but rather clusters densely in specific, predictable temporal windows. By employing a variance measurement technique akin to Standardized Moments, the script effectively normalizes session volatility.
This process allows the underlying algorithm to objectively classify current price action relative to an empirical baseline, entirely removing subjective human bias from the equation. Furthermore, the integration of structural pivot analysis introduces a deterministic filter to an otherwise probabilistic model. This synthesis ensures that statistical outliers are only deemed actionable when they are accompanied by a verifiable, measurable shift in the underlying supply and demand equilibrium.
⚠️ 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. Indicador
Indicador
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. Indicador
Indicador
Indicador
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. Indicador
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. Indicador
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. Indicador
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. Indicador
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. Indicador
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.
Indicador
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. Indicador
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. Indicador
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. Indicador
