AR-LiquidityAR-Liquidity is a clean, “chart-first” liquidity mapping tool built to automatically identify and maintain Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) levels, classify them as IRL / ERL using a dealing range filter, and mark sweeps/raids with an optional raid zone box—while keeping drawings stable using a fixed object bank (no random disappearing lines).
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What it detects
1) BSL & SSL (Liquidity Pools)
• BSL (Buy-Side Liquidity): swing highs clustered into meaningful levels (areas where stops tend to rest above price).
• SSL (Sell-Side Liquidity): swing lows clustered into meaningful levels (areas where stops tend to rest below price).
Instead of plotting every single pivot, the script clusters nearby pivots using an ATR-based margin so you get clean, actionable liquidity levels, not noise.
2) IRL / ERL (Dealing Range Context)
Each liquidity level is labeled as:
• IRL (Internal Range Liquidity): inside the dealing range
• ERL (External Range Liquidity): outside the dealing range
By default, the dealing range uses:
• PDH / PDL (Previous Day High / Previous Day Low) as the IRL boundaries.
This helps you instantly understand whether a level is “internal” (often targeted during consolidation/mean reversion) or “external” (often targeted during expansion/displacement).
3) Sweeps / Raids (Liquidity Taken)
A sweep is flagged when price:
• Wicks through a confirmed level
• Then closes back inside (classic raid behavior)
The script marks swept levels with a ✓ check mark in the label.
Optionally, it can draw a raid zone box showing the wick-extreme to the level.
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How it draws (stable & clean)
This indicator uses banked objects for lines/labels/boxes. That means:
• No flickering
• No unstable rendering
• No “objects disappearing” when new levels are created
Lines will extend to the right, and can be configured to stop when invalidated (depending on your build/settings).
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Inputs (what each one actually means)
Detection
• Swing length (pivot L=R): controls pivot sensitivity (higher = fewer, stronger swings).
• ATR length: ATR basis for clustering margin.
• Cluster margin × ATR: how close pivots must be to merge into one liquidity level.
• Min touches to confirm: how many pivot touches are required before a level is considered valid.
• Max clusters to scan (perf): performance cap for how many stored levels the script checks.
Show / Filters
• Mode (Present/Historical):
o Present focuses on most relevant/active levels.
o Historical can show deeper history depending on your scan/visibility limits.
• Max visible levels per side: maximum number of BSL lines + SSL lines drawn at once.
• Extend levels right: keeps levels projected forward.
• Only above / only below: filter BSL above price and SSL below price (cleaner “current context” view).
• Hide swept levels: removes already-raided levels from view (if you want only “untouched” liquidity).
IRL / ERL (Dealing Range)
• Use PDH/PDL as dealing range: defines IRL boundaries using previous day high/low.
• Show PDH/PDL lines: plots those boundaries as dotted reference lines.
Sweeps / Raid Zones
• Mark sweeps: enables raid detection + check mark labeling.
• Show raid zone box: displays a box from level to wick extreme.
• Raid box extend (bars): how far the box projects to the right.
Style
Full control over:
• IRL vs ERL colors for BSL/SSL
• Line width
• Label size
• Raid box colors
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How to use it (practical)
• Use BSL above price as likely upside draw / where liquidity may be taken.
• Use SSL below price as likely downside draw / where liquidity may be taken.
• Use IRL/ERL to decide whether the market is targeting internals (range) or externals (expansion).
• Use the ✓ sweep mark to identify “liquidity already taken” vs “still resting.”
• Pair it with structure (MSS/BOS), sessions, and displacement to time entries after raids.
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Pro tips
• If you want more lines, increase:
o Max visible levels per side
o Max clusters to scan (perf)
• If the chart is too busy, increase:
o Swing length
o Min touches
o Or reduce Max visible levels per side
ابحث في النصوص البرمجية عن "liquidity"
ICT FVG & Order Flow (IRL to ERL)Overview
Master liquidity with precision. This indicator brings the iCT trading concept to life by automatically detecting liquidity pools, fair value gaps, and key swing points. It shows you exactly where price is likely to move next — from Internal Range Liquidity (IRL) to External Range Liquidity (ERL). With built-in alerts and multi-timeframe validation, it helps you stay one step ahead of the market.
Concept
Markets move where liquidity is. According to iCT theory, price usually sweeps internal liquidity (IRL) first and then hunts for external liquidity (ERL). By mapping this process in real time, the indicator provides a clear framework for understanding market structure, liquidity grabs, and directional bias.
How it works
Detects the High-Probability Leg (HPL) — the leg containing a fair value gap (FVG)
Highlights unmitigated FVGs within the current context.
Marks swing points (SPs), IRL levels, and ERL targets automatically.
Identifies IRL rejections when liquidity is taken inside the leg.
Identifies if a FVG is Respected or Disrespected by 2 Candle Rejection (2CR)
Notifies you of every critical liquidity event:
New context leg
New FVG
IRL rejection
ERL or SP liquidity sweep
FVG is Respected or Disrespected by 2CR
Key Features
Automatic drawing of IRL, ERL, and SP levels
FVG types: Simple FVG or Breakaway Gap (BAG)
Multi-timeframe sweep check – if a single candle takes both IRL and ERL, the indicator zooms into a lower timeframe to confirm which liquidity was swept first
Fully customizable alerts for all liquidity events
Flexible settings for swing points, lookback depth, colors, and style
How to use
Start from the monthly chart to define the macro trend.
Analyze the latest order flow leg:
Bullish FVG = bullish context
Bearish FVG = bearish context
Step down to the daily timeframe and repeat the analysis.
Wait for price to approach or reject from IRL (the indicator highlights it automatically).
Drop to a lower timeframe for entries — use timeframe alignment to select the right LTF.
Enter with the FVG model, targeting liquidity within the leg.
Place take profit inside the context — e.g., never above ERL in a bullish setup.
🔔 Alerts
New Context
New FVG
IRL Rejection
ERL Sweep
SP Sweep
2CR
⚙️ Customization
Context side (auto/manual)
LTF pointer (auto/manual)
Show/hide Resistance FVG, Overlapping Defense, ERL/SP sweeps, 2CR
Look back bars, swing lines, swing length, line offsets
* Full color customization (FVG, bullish/bearish, labels, boxes)
LGZ – Liquidity Gravity Zones v1 📌 LGZ – Liquidity Gravity Zones (SVI + Net CVD + Volume)
Original Liquidity-Driven Price Magnet Model by Thomas Aaroon
📘 Concept Overview
LGZ (Liquidity Gravity Zones) is a new, original liquidity-based price-attraction model built using three core components:
SVI (Shock Volume Index) – measures abnormal volume spikes at each strike
Net CVD (NCP = CE_CVD − PE_CVD) – the real directional order-flow imbalance
Total Volume (CE + PE) – true liquidity density at each strike
Using these three elements, the indicator calculates Liquidity Gravity Weight (LGW) for every strike and identifies the strongest zones that attract price during the session.
🧠 Why This Indicator?
Traditional OI-based methods (long build-up, short build-up, OI change etc.) often lag.
LGZ focuses only on:
Real traded volume
Actual buy/sell aggression (CVD)
Shock events
Dealer hedging pressure
Strike-level liquidity clusters
This makes it far more responsive for intraday traders.
⭐ Core Formula
Liquidity Gravity Weight (LGW)
LGW = |SVI| × |Net CVD| × Total Volume
Where:
SVI = Shock Volume Index (Z-score based)
Net CVD (NCP) = CE_CVD − PE_CVD
Total Volume = CE_volume + PE_volume
LGW indicates how strongly a strike is pulling price toward it.
🎯 What the Indicator Shows
✔ Top Liquidity Gravity Zones (LGZ-1, LGZ-2, LGZ-3)
These are the strongest price magnets for the day.
✔ Gravity Lines on Chart
Each LGZ is plotted as a horizontal magnet line extending to the right.
✔ Strike-Level Liquidity Table
Shows:
Strike
SVI (Shock intensity)
LGW (Gravity strength)
This table gives a complete picture of the intraday liquidity landscape.
📈 How to Use (Intraday Trading Strategy)
🔵 1. Price gravitates toward LGZ-1
If price is below LGZ-1 → upward pull
If price is above LGZ-1 → downward pull
🔵 2. LGZ Flips = Trend Change
If LGZ-1 suddenly jumps to a different strike:
→ strong trend acceleration
🔵 3. LGZ Cluster = Reversal / Consolidation Zone
Multiple LGZ levels around the same strike indicate
→ liquidity saturation → reversal or slowdown.
🔵 4. Combine with Price Action
Best clarity on 5-minute timeframe
Use 1-minute only for entry.
🔬 Why LGZ Works
The indicator models the same reality driving option markets:
Where option volume + orderflow (CVD) + shock liquidity concentrate,
market makers hedge, and price moves toward that strike.
This is the foundation of dealer hedging mechanics and liquidity-based price movement.
🔧 Inputs
Symbol prefix (e.g., NIFTY)
Expiry (YYMMDD)
Center strike & range
Number of gravity zones
Color customization
Liquidation Cascade Detector [QuantAlgo]🟢 Overview
The Liquidation Cascade Detector employs multi-dimensional microstructure analysis to identify forced liquidation events by synthesizing volume anomalies, price acceleration dynamics, and volatility regime shifts. Unlike conventional momentum indicators that merely track directional bias, this indicator isolates the specific market conditions where leveraged positions experience forced unwinding, creating asymmetric opportunities for mean reversion traders and market makers to take advantage of temporary liquidity imbalances.
These liquidation cascades manifest through various catalysts: overwhelming spot selling coupled with leveraged long liquidation forced unwinding creates downward spirals where organic sell pressure triggers margin calls, which generate additional selling that triggers more margin calls. Conversely, sudden large buy orders or coordinated buying can squeeze overleveraged shorts, forcing buy-to-cover orders that push price higher, triggering additional short stops in a self-reinforcing feedback loop. The indicator captures both scenarios, regardless of whether the initial catalyst is organic flow or forced liquidation.
For sophisticated traders/market makers deploying amplification strategies, this indicator serves as an early warning system for distressed order flow. By detecting the moments when cascading stop-losses and margin calls create self-reinforcing price movements, the system enables traders to: (1) identify forced participants experiencing capital pressure, (2) strategically add liquidity in the direction of panic flow to amplify displacement, (3) accumulate contra-positions during the overshoot phase, and (4) capture mean reversion profits as equilibrium pricing reasserts itself. This approach transforms destructive liquidation events into potential profit opportunities by systematically front-running and then fading coordinated forced selling/buying.
🟢 How It Works
The detection engine operates through a three-tier confirmation framework that validates liquidation events only when multiple independent market stress indicators align simultaneously:
► Tier 1: Volume Anomaly Detection
The system calculates bar-to-bar volume ratios to identify abnormal participation spikes characteristic of forced liquidations. The Volume Spike threshold filters for transactions where current volume significantly exceeds previous bar volume. When leveraged positions hit stop-losses or margin requirements, their simultaneous unwinding creates distinctive volume signatures absent during organic price discovery. This metric isolates moments when market makers face one-sided order flow from distressed participants unable to control execution timing, whether triggered by whale orders absorbing liquidity or cascading margin calls creating relentless directional pressure.
► Tier 2: Price Acceleration Measurement
By comparing current bar's absolute body size against the previous bar's movement, the algorithm quantifies momentum acceleration. The Price Acceleration threshold identifies scenarios where price velocity increases dramatically, a hallmark of cascading liquidations where each stop-loss triggers additional stops in a feedback loop. This calculation distinguishes between gradual trend development (irrelevant for amplification attacks) and explosive moves driven by forced order flow requiring immediate liquidity provision. The metric captures both panic selling scenarios where spot sellers overwhelm bid liquidity triggering long liquidations, and short squeeze dynamics where aggressive buying exhausts offer-side depth forcing short covering.
► Tier 3: Volatility Expansion Analysis
The indicator measures bar range expansion by computing the current high-low range relative to the previous bar. The Volatility Spike threshold captures regime shifts where intrabar price action becomes erratic, evidence that market depth has evaporated and order book imbalance is driving price. Combined with body-to-range analysis indicating strong directional conviction, this metric confirms that volatility expansion reflects genuine liquidation pressure rather than random noise or low-volume chop.
*Supplementary Confirmation Metrics
Beyond the three primary detection tiers, the system analyzes additional candle characteristics that distinguish genuine liquidation events from ordinary volatility:
► Candle Strength: Measures the ratio of candle body size to total bar range. High readings (above 60%) indicate strong directional conviction where price moved decisively in one direction with minimal retracement. During liquidations, distressed traders execute market orders that drive price aggressively without the normal back-and-forth of balanced trading. Strong-bodied candles with minimal wicks confirm forced participants are accepting any available price rather than attempting to minimize slippage, validating that observed volume and price acceleration stem from liquidation pressure rather than routine trading.
► Volume Climax: Identifies when current volume reaches the highest level within recent history. Climax volume events mark terminal liquidation phases where maximum panic or squeeze intensity occurs. These extreme participation spikes typically represent the final wave of forced exits as the last remaining stops are triggered or the final shorts capitulate. For mean reversion traders, volume climax signals provide optimal reversal entry timing, as they mark maximum displacement from equilibrium when all forced sellers/buyers have been exhausted.
*Directional Classification
The system categorizes cascades into two actionable classes:
1. Short Liquidation (Bullish Cascade): Upward price movement combined with cascade patterns equals forced short covering. This occurs when aggressive spot buying (often from whales placing large market orders) or coordinated buy programs exhaust available offer liquidity, spiking price upward and triggering clustered short stop-losses. Short sellers experiencing margin pressure must buy-to-close regardless of price, creating artificial demand spikes that compound the initial buying pressure. The combination of organic buying and forced covering creates explosive upward moves as each liquidated short adds buy-side pressure, triggering additional shorts in a self-reinforcing loop. Market makers can amplify this by lifting offers ahead of forced buy orders, then selling into the exhaustion at elevated levels.
2. Long Liquidation (Bearish Cascade): Downward price movement combined with cascade patterns equals forced long liquidation. This manifests when heavy spot selling (panic sellers, large institutional unwinds, or coordinated distribution) overwhelms bid-side liquidity, breaking through support levels where long stop-losses cluster. Over-leveraged longs facing margin calls must sell-to-close at any price, generating artificial supply waves that compound the initial selling pressure. The dual force of organic selling coupled with forced long liquidation creates downward spirals where each margin call triggers additional margin calls through further price deterioration. Amplification opportunities exist by hitting bids ahead of panic selling, accumulating long positions during the capitulation, and reversing as sellers exhaust.
🟢 How to Use
1. For Mean Reversion Traders
When the indicator highlights a short liquidation cascade (green background), this signals that shorts are experiencing forced buy-to-cover pressure, often initiated by whale bids or aggressive spot buying that triggered the squeeze. Mean reversion traders can interpret this as a temporary upward dislocation from fair value. As the dashboard shows declining momentum metrics and the cascade highlighting stops, this represents a potential fade opportunity. Enter short positions expecting price to revert back toward pre-cascade levels once the forced buying exhausts and the initial large buyer completes their accumulation.
When a long liquidation cascade triggers (red background), longs are undergoing forced sell-to-close liquidation, typically catalyzed by overwhelming spot selling that breached key support levels. This creates artificial downward pressure disconnected from fundamental value, as margin-driven forced selling compounds organic sell flow. Mean reversion traders wait for the cascade to complete (dashboard transitions from active liquidation status to neutral), then enter long positions anticipating snap-back toward equilibrium pricing as panic subsides and forced sellers are exhausted.
You can also monitor the dashboard's Volume Climax indicator. When it displays "YES" during an active cascade, this suggests the liquidation is reaching its terminal phase, whether driven by the final shorts being squeezed out or the last leveraged longs capitulating. Mean reversion entries become highest probability at this point, as maximum displacement from fair value has occurred. Wait for the next 1-3 bars after climax confirmation, then enter contra-trend positions with tight stops.
The Candle Strength metric also helps validate entry timing. When candle strength readings drop significantly after maintaining elevated levels during the cascade, this divergence indicates absorption is occurring. Market makers are stepping in to provide liquidity, supporting your mean reversion thesis. Strong candle bodies during the cascade followed by weaker bodies signal the forced flow is diminishing.
2. For Momentum & Trend Following Traders
When price breaks through a significant resistance level and immediately triggers a short liquidation cascade (green background), this confirms breakout validity through forced participation. Shorts positioned against the breakout are now experiencing margin pressure from the combination of breakout momentum and potential whale buying, creating self-reinforcing buying that propels price higher. Enter long positions during the cascade or immediately after, as the forced covering provides fuel for extended momentum continuation.
Conversely, when price breaks below key support and triggers a long liquidation cascade (red background), the breakdown is validated by forced selling from trapped longs. Heavy spot selling coupled with margin liquidations creates accelerated downside momentum as liquidations cascade through clustered stop-loss levels. Enter short positions as the cascade develops, riding the combined force of organic selling and forced liquidation for extended trend moves.
3. For Sophisticated Traders & Market Makers
► Amplification Attack Execution
Sophisticated operators can exploit cascades through systematic amplification positioning. When a short liquidation is detected (green highlight activating), often initiated by whale bids absorbing offer liquidity, place aggressive buy orders to front-run and amplify the forced short covering. This exacerbates upward pressure, pushing price further from equilibrium and triggering additional clustered stops. Simultaneously begin accumulating short positions at these artificially elevated levels. As dashboard metrics indicate cascade exhaustion (volume spike declining, climax signal appearing, candle strength weakening), flatten amplification longs and hold accumulated shorts into the mean reversion.
For long liquidations (red highlight), typically catalyzed by heavy spot selling overwhelming bid depth, execute the inverse strategy. Place aggressive sell orders to compound the panic selling, amplifying downward displacement and accelerating margin call triggers. Layer long entries at depressed prices during this amplification phase as forced liquidation selling creates artificial supply. When dashboard signals cascade completion (metrics normalizing, volume climax passing), exit amplification shorts and maintain long positions for the reversal trade.
► Market Making During Liquidity Crises
During detected cascades, temporarily adjust quote placement strategy. When dashboard shows all three confirmation metrics activating simultaneously with strong candle bodies, this indicates the highest probability liquidation event, whether from whale order flow or cascading margin calls. Widen spreads dramatically to capture enhanced edge during the liquidity vacuum. Alternatively, step away from quote provision entirely on your natural inventory side (stop offering during short cascades driven by aggressive buying, stop bidding during long cascades driven by overwhelming selling) to avoid adverse selection from forced flow.
Use cascade detection to inform inventory management. During short cascades initiated by large buy orders or short squeezes, reduce existing short inventory exposure while allowing the forced buying to push price higher. Rebuild short inventory only at the inflated levels created by liquidation pressure. During long cascades where spot selling compounds leveraged liquidation, reduce long inventory and use the forced selling to reaccumulate at artificially depressed prices rather than providing stabilizing liquidity too early.
► Sequential Positioning Strategy
Advanced traders can structure trades in phases: (1) Initial amplification orders placed immediately upon cascade detection to front-run forced flow, (2) Contra-position accumulation scaled in as displacement extends and dashboard readings intensify, (3) Amplification trade exit when metrics show deceleration or candle strength weakens, (4) Contra-position hold through mean reversion, targeting pre-cascade price levels. This sequential approach extracts profit from both the dislocation phase and the subsequent equilibrium restoration.
► Risk Monitoring
If cascade highlighting persists across many consecutive bars while dashboard volume readings remain extremely elevated with sustained strong candle bodies, this suggests sustained institutional deleveraging or persistent whale activity rather than simple retail liquidation. Reduce amplification position sizing significantly, as these extended events can exhibit delayed mean reversion. Professional counter-parties may be establishing dominant positions, limiting your edge.
When volatility spike metrics decline while cascade highlighting continues, professional absorption is occurring. Proceed cautiously with amplification strategies, as intelligent liquidity providers are already positioning for the reversal, potentially front-running your intended reversal trade. Similarly, if large liquidation wicks appear during cascades, this indicates partial absorption is happening, suggesting more sophisticated players are taking the opposite side of distressed flow.
Screener (ILPAC) [AlgoAlpha]🟠 OVERVIEW
This script is a powerful multi-symbol scanner designed to work as a companion to the "Institutional Liquidity & PA Concepts" (ILPAC) indicator. It allows you to monitor the key price action and liquidity signals from the ILPAC suite across a watchlist of up to 18 assets, all from a single dashboard. The primary goal of this tool is to provide a high-level market overview, enabling you to efficiently spot assets that are showing strong structural trends, interacting with key liquidity zones, or exhibiting signs of FOMO-driven volatility.
Instead of switching between dozens of charts, you can use this screener to quickly filter for assets that meet your specific trading criteria based on the advanced concepts of market structure, liquidity analysis, trend lines, and market sentiment.
🟠 CONCEPTS
The screener is built upon the core analytical engine of the "Institutional Liquidity & PA Concepts" indicator. It applies the proprietary algorithms of the ILPAC indicator to each symbol in your watchlist and presents the results in an easy-to-digest table. The concepts are combined to create a holistic view of the market.
Each column in the table is a window into a specific trading concept:
Market Structure: This is the foundation of price action analysis. The screener identifies the current market trend (bullish or bearish) by tracking swing highs and lows. It also flags critical events like a Break of Structure (BOS), which signals trend continuation, and a Change of Character (CHoCH), which suggests a potential trend reversal.
Liquidity Analysis: The screener analyzes order flow to determine where significant liquidity is resting. The "Liquidity Bias" column shows the net direction of this pressure, while the "Liquidity Event" column alerts you when price interacts with these key zones, either by forming a new one or mitigating an old one.
Trend Lines: This concept automates the classic technical analysis technique of drawing trend lines. The screener identifies significant swing points to form trend lines and then monitors them, alerting you to potential trend continuations or breakouts.
FOMO Bubbles: This concept measures crowd psychology by identifying sudden spikes in volume and price movement that are characteristic of "Fear of Missing Out." These signals can help identify potential trend exhaustion points or the start of a speculative rally.
By presenting these distinct but interconnected concepts together, the screener provides a multi-faceted view that allows traders to build a strong, confluence-based trading thesis.
🟠 FEATURES
This screener organizes a vast amount of data into a simple, color-coded table. Here is a breakdown of each column and the values you can expect to see:
Asset: Displays the ticker symbol for the asset being analyzed.
Market Structure: Shows the dominant trend based on swing highs and lows.
Bull: The asset is in a structural uptrend (making higher highs and higher lows).
Bear: The asset is in a structural downtrend (making lower highs and lower lows).
Detecting: The trend is neutral or a clear structure has not yet been established.
Structure Event: Flags the most recent significant market structure event.
Bull CHoCH: A bullish Change of Character, signaling a potential shift from a downtrend to an uptrend.
Bear CHoCH: A bearish Change of Character, signaling a potential shift from an uptrend to a downtrend.
Bull BOS: A bullish Break of Structure, confirming the continuation of an uptrend.
Bear BOS: A bearish Break of Structure, confirming the continuation of a downtrend.
–: No significant event has occurred recently.
Latest Swing Label: Identifies the most recently confirmed swing point.
HH: Higher High.
HL: Higher Low.
LH: Lower High.
LL: Lower Low.
–: No new swing point has been confirmed.
Liquidity Bias: Measures the net direction of liquidity and its relative strength.
▲ : A bullish liquidity bias, where the number indicates the strength.
▼ : A bearish liquidity bias, where the number indicates the strength.
Balanced: Liquidity is relatively balanced between buyers and sellers.
Liquidity Event: Indicates recent interactions with key liquidity zones.
New▲: A new bullish liquidity zone has just formed.
New▼: A new bearish liquidity zone has just formed.
Mit▲: Price has just tested (mitigated) a key bullish liquidity zone.
Mit▼: Price has just tested (mitigated) a key bearish liquidity zone.
–: No recent interaction.
Trend Line: Displays the status of automatically drawn trend lines.
Break▲: Price has broken above a key bearish trend line.
Break▼: Price has broken below a key bullish trend line.
Bull TL: Price is respecting an active bullish trend line.
Bear TL: Price is respecting an active bearish trend line.
–: No significant trend line is currently active.
FOMO: Detects sentiment-driven price moves of varying intensity.
Big▲/Med▲/Small▲: A bullish FOMO bubble has been detected (large, medium, or small).
Big▼/Med▼/Small▼: A bearish FOMO bubble has been detected (large, medium, or small).
–: No FOMO activity detected.
🟠 USAGE
The primary way to use this screener is to quickly scan your watchlist for assets that exhibit a confluence of bullish or bearish signals, which can significantly improve the probability of a trade.
1. Setup and Configuration:
Add the screener to your chart.
Open the settings and populate the "Watchlist" section with the symbols you want to track.
Fine-tune the input settings for each component (Market Structure, Liquidity, etc.) to match your preferred trading style. These settings will apply to all symbols in the table.
2. Interpreting the Columns for Trading Decisions:
Market Structure Columns: Use the first three structure columns to define your trading bias. For a high-probability long setup, you would look for an asset with a "Bull" structure, a recent "Bull BOS" event, and a "HL" as the latest swing point. This confirms the uptrend is healthy and ongoing.
Liquidity Columns: These are crucial for identifying key price levels. A strong "Liquidity Bias" can confirm your directional bias. A "Mit▲" (mitigation) event at a support level can be a powerful entry trigger, as it shows that institutional buy orders are defending that zone.
Trend Line Column: This is ideal for breakout traders. A "Break▲" signal can serve as an excellent entry confirmation, especially if the overall "Market Structure" is already "Bull".
FOMO Column: This column is best used for identifying potential exhaustion points. For instance, if you are in a long trade and a "Big▲" FOMO signal appears after a strong rally, it could be a sign that the move is overextended and it's a good time to consider taking profits.
Paid script
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI)
Version: PineScript™v6
📌Description
The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system.
Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions.
🚀Points of Innovation
Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution
Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels
Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time
ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration
Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels
Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment
🔧Core Components
Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones
Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status
Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal
Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation
Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score
🔥Key Features
Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels
Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy
Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application
Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment
Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70)
Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals
🎨Visualization
Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%)
Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones
Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age
Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility
Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability
📖Usage Guidelines
General Settings
Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity
Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances
Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter
Show Market Structure – Default: On, toggles BOS/CHoCH label display
Show Smart Money Score – Default: On, controls score dashboard visibility
Order Block Settings
OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks
Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles
Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones
Fair Value Gap Settings
Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps
Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading
Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances
Liquidity Zone Settings
Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings
Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe
Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings
Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity
Market Structure Settings
Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts
Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change
Multi-Timeframe Settings
Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score
Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour)
Visual Settings
Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements
Bearish Color – Default: Red (#f23645), defines color for bearish elements
Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements
Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns
Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency
FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks
Alert Settings
Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected
Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances
Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed
Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup
✅Best Use Cases
Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level
Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend
Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG
Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias
Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter
Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation
⚠️Limitations
Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period
Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets
Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds
Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights
Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds
No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels
💡What Makes This Unique
Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system
Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating
Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution
Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring
Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies
🔬How It Works
Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume
Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status
Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones
Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals
Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe
Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility
Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits
💡Note:
The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Session Based Liquidity# Session Based Liquidity Indicator - Educational Open Source
## 📊 Overview
The Session Based Liquidity indicator is a comprehensive educational tool designed to help traders understand and visualize liquidity concepts across major trading sessions. This indicator identifies Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) levels created during Asia, London, and New York trading sessions, providing insights into institutional order flow and potential market reversal zones.
## 🎯 Key Features
### 📈 Multi-Session Tracking
- **Asia Session**: Tokyo/Sydney overlap (20:00-02:00 EST)
- **London Session**: European markets (03:00-07:30 EST)
- **New York Session**: US markets (09:30-16:00 EST)
- Individual session toggle controls for focused analysis
### 💧 Liquidity Level Detection
- **Buy-Side Liquidity (BSL)**: Identifies stop losses above swing highs where short positions get stopped out
- **Sell-Side Liquidity (SSL)**: Identifies stop losses below swing lows where long positions get stopped out
- Advanced filtering algorithm to identify only significant liquidity zones
- Configurable pivot strength for sensitivity adjustment
### 🎨 Visual Management System
- **Unclaimed Levels**: Active liquidity zones that haven't been hit (default: black lines)
- **Claimed Levels**: Swept liquidity zones showing historical interaction (default: red lines)
- Customizable line styles, colors, and widths for both states
- Dynamic label system showing session origin and level significance
- Real-time line extension and label positioning
### ⚙️ Advanced Configuration
- **Pivot Strength**: Adjust sensitivity (1-20) for liquidity detection
- **Max Levels Per Side**: Control number of tracked levels (1-10) per session
- **Label Offset**: Customize label positioning
- **Style Customization**: Full control over visual appearance
## 📚 Educational Value
### Core Concepts Explained
- **Liquidity Pools**: Areas where stop losses and pending orders cluster
- **Liquidity Sweeps**: When price moves through levels to trigger stops, then reverses
- **Session-Based Analysis**: How different market sessions create distinct liquidity characteristics
- **Institutional Order Flow**: Understanding how large players interact with retail liquidity
### Trading Applications
- Identify high-probability reversal zones after liquidity sweeps
- Understand where stop losses are likely clustered
- Avoid trading into obvious liquidity traps
- Use session context for timing entries and exits
- Recognize institutional accumulation and distribution patterns
### Code Learning Opportunities
- **Pine Script v6 Best Practices**: Modern syntax and efficient coding patterns
- **Object-Oriented Design**: Custom types and methods for clean code organization
- **Array Management**: Dynamic data structure handling for performance
- **Visual Programming**: Line, label, and styling management
- **Session Detection**: Time-based filtering and timezone handling
## 🔧 Technical Implementation
### Performance Optimized
- Efficient memory management with automatic cleanup
- Limited historical level tracking to maintain responsiveness
- Optimized array operations for smooth real-time updates
- Smart filtering to reduce noise and focus on significant levels
### Code Architecture
- **Modular Design**: Clean separation of concerns with dedicated methods
- **Type Safety**: Custom SessionLiquidity type for organized data management
- **Extensible Structure**: Easy to modify and enhance for specific needs
- **Educational Comments**: Comprehensive documentation throughout
## 💡 Usage Guide
### Basic Setup
1. Add indicator to chart
2. Configure session times for your timezone
3. Adjust pivot strength based on timeframe (higher for lower timeframes)
4. Enable/disable sessions based on your trading focus
### Interpretation
- **Unclaimed levels**: Watch for price interaction and potential reversals
- **Claimed levels**: Use as potential support/resistance after sweep
- **External levels**: Beyond session range, higher significance
- **Internal levels**: Within session range, may indicate ranging conditions
### Best Practices
- Use higher timeframes (15m+) for cleaner signals
- Combine with price action analysis for confirmation
- Consider session overlap periods for increased significance
- Monitor multiple sessions for comprehensive market view
## 🎓 Educational Goals
This open-source project aims to:
- Demystify liquidity concepts for retail traders
- Provide practical coding examples in Pine Script v6
- Encourage understanding of institutional trading behavior
- Foster community learning and collaboration
- Bridge the gap between theory and practical application
## 📄 License & Usage
Released under Mozilla Public License 2.0 - free for educational and commercial use with proper attribution.
## 🤝 Contributing
As an open-source educational tool, contributions are welcome! Whether it's bug fixes, feature enhancements, or educational improvements, your input helps the trading community learn and grow.
## ⚠️ Disclaimer
This indicator is for educational purposes only. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
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*By studying and using this indicator, traders can develop a deeper understanding of market microstructure and improve their ability to read institutional order flow patterns.*
Historical LiquidityHistorical Liquidity Indicator – Backtesting Mitigated Hidden Order Blocks
🟠OVERVIEW: Historical Liquidity Indicator This script is a powerful backtesting tool and companion to our "Hidden Liquidity Indicator." It visualizes mitigated liquidity zones that have already been touched by price action. By showing a historical record of these events, it allows traders to systematically analyze past market structure, evaluate the effectiveness of liquidity zones, and refine their mitigation-based trading strategies.
🟠CORE LOGIC: The Connection to Hidden Liquidity The indicator's core logic is built upon the same proprietary methodology as our "Hidden Liquidity Indicator," which focuses on the relationship between Fair Value Gaps (FVGs) and candle bodies. The central idea is to identify institutional footprints—specifically, where hidden order blocks form—before the price revisits and "mitigates" them.
The process involves two main steps:
1. Detection of Liquidity Zones: The script identifies and classifies a liquidity zone based on specific, rule-based criteria:
o Hidden Order Block (HOB): A strong zone where a candle body fits 100% inside a Fair Value Gap, and is untouched by any wicks. For an HOB to be considered valid, its equilibrium (midpoint) must be crossed by the FVG.
o Partial Hidden Order Block (PHOB): A weaker, but still significant, zone where a candle body fits at least 50% inside the FVG.
2. Tracking Mitigation: The indicator then continuously tracks these detected zones. A zone is considered mitigated when a subsequent candle's wick or body touches or enters at least 50% of that zone.
Once a zone is detected and subsequently mitigated according to these rules, the indicator stores this information and visualizes it historically on the chart. This allows traders to see exactly where and how these hidden liquidity zones influenced past price action.
🟠SETTINGS & CUSTOMIZATION The indicator offers extensive customization to adapt to various trading styles and analysis needs.
• General & Candle Settings:
o Show Partial HOB: Toggle the visibility of Partial Hidden Order Blocks (PHOBs).
o Candle back count: Determines the number of historical bars to be analyzed.
o BB Deviation / BB Min Size Perc: These settings allow for fine-tuning the underlying volatility calculation, which helps in identifying the specific conditions for HOB formation.
o Partial Min Size in FVG Perc: Customizes the percentage (default 50%) required for a candle body to be considered a PHOB.
• Multi-Timeframe (MTF) Analysis: The indicator can check for liquidity zones on different timeframes. Users can select from pre-defined Low, Mid, or High Timeframe sets, or customize which specific timeframes are checked for analysis (e.g., 5m, 15m, 1h, 4h, 1D).
• Color & Visualization:
o HOBs and PHOBs: Users can customize the distinct colors for each type of liquidity zone.
o Box Border: Option to display or hide the border around the detected zones.
o Labels: Customize the color and text size of the labels describing each zone.
🟠PURPOSE & USAGE This indicator is specifically designed for systematic backtesting and strategic development. It is not intended to provide live trading signals. Its value lies in:
• Quantifying Success: It enables traders to measure the success rate of different HOB types across various timeframes and market conditions.
• Post-Mitigation Analysis: Users can analyze price behavior after a mitigation event, e.g., whether it led to continuation, reversal, or a retest.
• Identifying Support/Resistance: It helps to identify historical support and resistance levels that were formed by previously respected liquidity blocks, offering a data-driven alternative to traditional S/R methods.
🟠WHY IT MATTERS This indicator transforms subjective order block analysis into an objective, data-driven process. By providing a clear, visual history of which liquidity zones were actually respected or invalidated by the market, it empowers traders to build and validate their strategies on a foundation of empirical evidence rather than on intuition alone.
ICT Setup 04 [TradingFinder] SFP Sweep Liquidity Fake CHoCH/BOS🔵 Introduction
In smart money and ICT based trading, liquidity is never random. Some of the most meaningful market moves begin with a liquidity sweep where price intentionally hunts a previous swing high or swing low to trigger stop loss orders and absorb volume.
This manipulation is often followed by a sharp reversal from a reaction zone, creating ideal conditions for a high probability entry. This indicator is built to detect exactly that. It identifies a valid swing point and defines a reaction zone where price is likely to react.
For short setups, the zone lies between the swing high and the maximum of the candle’s open or close. For long setups, it’s drawn from the swing low to the minimum of the open or close.
When price returns to this zone and forms a qualified confirmation candle typically a doji or a small bodied candle that closes inside the zone while sweeping the liquidity this is a potential sign of reversal.
The candle must show both the sweep and the inability to hold above or below the key level, signaling a fake breakout or failed move. By combining elements of liquidity hunt, reaction zone rejection, and candle based entry confirmation, this tool highlights sniper entry points used by smart money to trap retail traders and reverse the trend. It helps filter out noise and enhances timing, making it ideal for trading in alignment with institutional order flow.
Long Position :
Short Position :
🔵 How to Use
This indicator is designed to highlight precise moments where price sweeps liquidity and reacts within a high probability reversal zone. By identifying clean swing highs and lows and defining a smart reaction zone around them, it filters out weak fakeouts and focuses only on setups with strong institutional footprints.
The tool works best when combined with market structure analysis and is suitable for both scalping and intraday trading. Below is a breakdown of how to interpret the signals for long and short positions based on the visual setups provided.
🟣 Long Setup
In a long setup, the indicator first detects a valid swing low where liquidity has likely accumulated below. A reaction zone is then drawn between the swing low and the minimum of the open or close of the swing candle.
When price returns to this zone, it must sweep the previous low and form a precise confirmation candle, such as a doji or a small bodied candle, that closes inside the zone. This candle must also reject the lower level, showing failure to continue downward.
As shown in the chart, once the liquidity grab is complete and the confirmation candle forms, a clean long signal is issued, indicating a potential bullish reversal backed by smart money behavior.
🟣 Short Setup
In a short setup, the indicator identifies a swing high where buy-side liquidity is resting. It then constructs a reaction zone between the high and the maximum of the open or close of the swing candle. Price must return to this zone, sweep the swing high, and form a bearish confirmation candle inside the zone.
A classic example is a doji or rejection candle that traps breakout buyers and fails to hold above the previous high. In the provided chart, the price aggressively hunts the liquidity above the swing high, but the close within the reaction zone signals exhaustion, prompting a short signal with high reversal probability.
These setups represent moments where price action, liquidity behavior, and candle structure align to offer strong entries. By focusing on clean sweeps and reactive confirmations, the indicator helps traders stay on the side of smart money and avoid common breakout traps.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal :The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
This indicator is built for traders who rely on liquidity driven setups and smart money principles. By combining swing structure analysis with precision reaction zones and strict entry confirmation, it isolates the exact moments where price sweeps liquidity and fails to continue. These are high value points where institutional activity often reveals itself, and retail traps unfold.
Unlike generic breakout tools, this script focuses on quality over quantity by requiring both a sweep of a swing high or low and a confirmed rejection candle that closes inside a predefined zone. With customizable swing depth, proximity filters, visual highlights, and alert functions, it offers a complete framework for identifying and acting on fake breakouts with confidence. Whether you trade forex, crypto, or indices, this tool enhances your ability to align with true order flow and take entries where liquidity is most likely to shift.
Smart Money Liquidity Zones ProThe Smart Money Liquidity Zones Pro indicator identifies and visualizes key liquidity areas in the market where institutional traders (smart money) are likely to have placed their stop-loss orders. These zones represent areas of high liquidity that often act as magnets for price, making them valuable reference points for trading decisions.
What the Indicator Does
Core Functionality
Swing Point Detection: The indicator identifies significant swing highs and lows using three different methods (Classic, Fractal, or Combined) to locate potential liquidity pools.
Liquidity Zone Creation: At each valid swing point, the indicator creates a horizontal zone representing an area where stop-loss orders are likely clustered.
Zone Clustering: When multiple swing points occur near the same price level, the indicator intelligently combines them into larger cluster zones, indicating stronger liquidity areas.
Volume Confirmation: The indicator can filter zones based on volume, showing only those swing points that occurred with significant trading volume.
Zone Break Detection: When price closes through a liquidity zone, the indicator marks it as "Liquidity Taken" and removes the zone from the chart.
Zone Types
Buy-Side Liquidity Zones (Green): Created at swing highs where short sellers' stop-losses are likely placed
Sell-Side Liquidity Zones (Red): Created at swing lows where long traders' stop-losses are likely placed
Trading Strategies
Basic Concepts
Liquidity Runs: Price often moves toward these zones to trigger stop-loss orders before reversing. This creates trading opportunities.
Support and Resistance: Unbroken liquidity zones can act as support (sell-side) or resistance (buy-side) levels.
Breakout Confirmation: When price breaks through a zone with strong momentum, it often continues in that direction.
Entry Strategies
Strategy 1: Liquidity Grab Reversa l
Wait for price to spike into a liquidity zone
Look for rejection candles (wicks) at the zone
Enter in the opposite direction after confirmation
Place stop-loss beyond the liquidity zone
Strategy 2: Zone Break Continuation
Wait for price to close decisively through a zone
Enter on the retest of the broken zone
Target the next liquidity zone in the direction of the break
Strategy 3: Zone Clustering Trade
Focus on areas with multiple overlapping zones (clusters)
These areas offer higher probability setups
Trade bounces from cluster zones with tighter risk management
Risk Management
Always use stop-losses beyond the liquidity zones
Consider the overall market context and trend
Zones on higher timeframes are generally more significant
Volume-confirmed zones have higher reliability
Settings Explanation
Swing Detection Settings
Swing Strength (Lookback Bars)
Determines how many bars to look back for swing point validation
Higher values find more significant swings but fewer zones
Recommended settings:
1m-5m charts: 3-5
15m-1h charts: 5-8
Daily charts: 5-10
Weekly charts: 3-5
Monthly charts: 2-3
Adaptive Swing Detection
Automatically adjusts swing detection based on available historical data
Prevents errors when there's limited chart history
Recommended to keep enabled
Minimum Bars for Swing
Sets the absolute minimum bars required for swing detection
Lower values allow detection in limited data conditions
Swing Detection Method
Classic: Strict price comparison for pure swing highs/lows
Fractal: Williams Fractal pattern (2 bars on each side)
Combined: Uses both methods for maximum zone detection
Auto-Adjust for Timeframe
Automatically optimizes settings based on chart timeframe
Prevents inappropriate settings on higher timeframes
Zone Settings
Max Number of Visible Zones
Limits the number of zones displayed to prevent chart clutter
Older zones are automatically removed
Max Zone Duration (Bars)
Zones older than this are automatically deleted
Keeps the chart focused on recent liquidity areas
Enable Zone Clustering
Groups nearby zones into larger clusters
Identifies stronger liquidity areas
Cluster Threshold (%)
Maximum price distance for zones to be clustered
Lower values create tighter clusters
Show Cluster Labels
Displays "Cluster x2", "Cluster x3" etc. on grouped zones
Volume Filter Settings
Enable Volume Filter
When enabled, only creates zones at high-volume swing points
Increases zone quality but reduces quantity
Volume Multiplier
Multiplier for average volume to determine "high volume"
Lower values (0.7-0.9) create more zones
Higher values (1.2+) create fewer, higher-quality zones
Volume SMA Period
Period for calculating average volume
Higher values create smoother volume baseline
Show Volume Confirmation Icon
Displays a fire emoji on volume-confirmed zones
Volume Visualization Settings
Show Volume Dots
Displays dots below high-volume bars
Dynamic Zone Colors
Volume-confirmed zones appear with more intense colors
Show Volume Background
Highlights the chart background on high-volume bars
Visual Settings
Buy-Side/Sell-Side Zone Colors
Customize colors for long and short liquidity zones
Border Width
Thickness of zone borders (1-3)
Show 'Liquidity Taken' Labels
Displays labels when zones are broken
Label Size
Size of the liquidity taken labels
Show Swing Point Markers
Displays triangles at detected swing points
Show Debug Info
Shows diagnostic information for troubleshooting
Dashboard Settings
Show Dashboard
Toggles the information panel display
Dashboard Position
Choose from 6 positions on the chart
Background Color
Dashboard background color
Text Color
Dashboard text color
Text Size
Dashboard text size (tiny/small/normal/large)
Tips for Effective Use
Start with default settings and adjust based on your trading style and timeframe
Use multiple timeframes to identify confluence between zones on different scales
Combine with other indicators like trend analysis or momentum oscillators
Pay attention to clusters as they represent stronger liquidity areas
Monitor volume-confirmed zones for higher probability setups
Adjust zone duration based on your trading timeframe (shorter for scalping, longer for swing trading)
Use the debug feature if zones aren't appearing to understand why
Keep the chart clean by limiting the number of visible zones
Common Issues and Solutions
No zones appearing:
Lower the Swing Strength setting
Switch to Combined detection method
Disable volume filter if active
Check if there's enough historical data
Too many zones:
Increase Swing Strength
Enable volume filter
Reduce Max Number of Visible Zones
Increase Cluster Threshold
Zones disappearing too quickly:
Increase Max Zone Duration
Check if zones are being broken by price
Poor performance on higher timeframes:
Enable Auto-Adjust for Timeframe
Use appropriate Swing Strength for the timeframe
Consider using Classic method instead of Fractal
True Market Structure [Advanced Liquidity Hunter] v1True Market Structure v1
📌 Table of Contents
1. Introduction
2. Core Concepts
3. Indicator Components
4. Configuration
5. Signal Interpretation
6. Trading Strategies
7. Risk Management
8. FAQ
________________________________________
🎯 Introduction
What is True Market Structure?
True Market Structure is an advanced technical analysis indicator that reveals hidden market mechanisms. Based on Smart Money Concepts (SMC) and ICT (Inner Circle Trader) methodology, it identifies where large financial institutions hunt retail traders' stop losses.
Who is this indicator for?
• ✅ Beginners - Intuitive visualizations and clear signals
• ✅ Intermediate - Deeper market structure analysis
• ✅ Advanced - Full parameter control and advanced strategies
Key Benefits
• 🔍 Sees the invisible - Hidden liquidity levels
• 🎯 Precise signals - Based on real data
• ⚡ Real-time - Instant analysis
• 🛡️ Capital protection - Warns against traps
💡 Pro Tip: Start with 15M timeframe! That's where most action happens - stop hunts every few candles, retail traps, liquidity battles. It's the best "microscope" to understand how the market really works.
________________________________________
📚 Core Concepts
Smart Money vs Retail Money
Smart Money:
• Banks, hedge funds, large institutions
• Create market moves, don't follow them
• Exploit retail predictability
Retail Money:
• Individual traders
• Often act emotionally
• Place stop losses at predictable levels
Liquidity
Liquidity refers to areas where many orders are waiting:
• Stop losses above highs (shorts)
• Stop losses below lows (longs)
• Orders at round numbers
Key principle: Smart Money needs liquidity to enter/exit large positions. That's why they "hunt" stop losses first, then make the real move.
________________________________________
🔧 Indicator Components
1. 💧 Liquidity Pools
What is it?
• Price levels tested multiple times
• Stop loss accumulation areas
• Displayed as blue horizontal lines
How to read?
• LIQ HIGH x15 = Level tested 15 times from above
• LIQ LOW x8 = Level tested 8 times from below
• Higher number = stronger zone
Significance:
• Price magnet
• High probability of reaction
• Smart Money target
2. 🎣 Stop Hunts
What is it?
• Candles with long wicks
• Brief penetrations of important levels
• Marked with purple labels
Types:
• STOP HUNT ⬆ - Upward hunt (shorts' stop losses)
• STOP HUNT ⬇ - Downward hunt (longs' stop losses)
Characteristics:
• Long wick (minimum 2x larger than body)
• Wick must also be larger than 0.5 ATR (default)
• Breaks recent high/low from lookback period
• Quick price return
3. 🪤 Trapped Traders
What is it?
• Areas where retail got trapped
• Failed breakouts that didn't hold
• Colored rectangles on chart
Trap types:
• 🔴 TRAPPED LONGS - Buyers caught at top
• 🟢 TRAPPED SHORTS - Sellers caught at bottom
Mechanism:
1. Important level break
2. Retail enters breakout direction
3. Price returns leaving them at loss
4. Stop losses get activated
4. 🎪 Inducement Levels
What is it?
• "Too obvious" support/resistance
• Levels respected minimum 3 times
• Orange dashed lines
Why is it a trap?
• Look like perfect trading spots
• Attract retail traders' attention
• Smart Money uses them to collect liquidity
Example:
• 100,000 level on BTC - round number
• 3 bounces = "strong support"
• Retail buys, Smart Money sells to them
5. ⏰ Kill Zones
What is it?
• Highest Smart Money activity periods
• Red background on chart
• Maximum manipulation time
Default Kill Zones:
• 🌆 London Open (08:00-09:00 UTC)
• 🏙️ NY Open (13:00-14:00 UTC)
• 🌃 Midnight (00:00-01:00 UTC)
Trading Sessions (chart background):
• 🌏 Asian (00:00-08:00 UTC) - Gray background
• 🇬🇧 London (08:00-16:00 UTC) - Blue background
• 🇺🇸 New York (13:00-21:00 UTC) - Orange background
Note: London and New York sessions overlap (13:00-16:00 UTC) - this is the highest liquidity period!
6. 🎯 Smart Money Signals
What is it?
• Potential institutional entry points
• Large labels with 🎯 emoji
• Appear after stop hunts
Conditions:
1. Stop hunt in one direction
2. High volume (2x average)
3. In Kill Zone
4. Direction reversal
7. 📊 Market Analysis Table
The table displays 9 rows with key information:
1. Session - Current trading session (ASIA/LONDON/NEW YORK/CLOSED)
2. Kill Zone - Zone status (🔴 ACTIVE / ✅ SAFE)
3. Liquidity Pools - Number of liquidity zones found
4. Inducement Levels - Number of bait levels
5. Traps (50 bars) - Number of traps in last 50 bars
6. Market Bias - Market direction:
o BULLISH 📈 (close > SMA50 and EMA21)
o BEARISH 📉 (close < SMA50 and EMA21)
o NEUTRAL ➡️ (other cases)
7. Volume - Volume status:
o 🔥 EXTREME (>2x average)
o ⬆️ HIGH (>1.5x average)
o NORMAL (>average)
o ⬇️ LOW (3 traps)
o ⚠️ CHOPPY (>5 traps)
o 👀 WATCH LIQUIDITY (>3 liquidity zones)
o ✓ NORMAL (other)
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⚙️ Configuration
Step 1: Basic Configuration
Where to find settings:
• Method 1: Click the ⚙️ (gear) icon next to indicator name on chart
• Method 2: Double-click any indicator line/label
• Method 3: Right-click → "Settings" on indicator name
🌍 Timezone Setting
UTC Offset: Your timezone
Examples:
- London: 0 (winter) or +1 (summer)
- New York: -5 (winter) or -4 (summer)
- Tokyo: +9
🎚️ Sensitivity Adjustment
For beginners - Default settings:
• Lookback Period: 30
• Detection Sensitivity: 0.3
• Min. Touches: 2
For different timeframes:
• 15M: Sensitivity 0.2-0.3, Lookback 20-30
• 1H: Sensitivity 0.3-0.4, Lookback 30-40
• 4H: Sensitivity 0.4-0.5, Lookback 40-50
For different instruments:
• Forex Majors (EUR/USD): Sensitivity 0.1-0.2
• Indices (S&P500;): Sensitivity 0.2-0.4
• Crypto (BTC): Sensitivity 0.4-0.8
• Stocks: Sensitivity 0.3-0.5
Step 2: Advanced Configuration
🔧 Liquidity Zones Parameters
• Min. Touches (1-5): Less = more signals
• Lookback (20-200): More = further levels
• Max Zones (1-10): Display quantity control
🎣 Stop Hunt Parameters
• Wick/Body Ratio (1-5): Lower = more signals
• Min. Wick Size (0.1-2 ATR): Filters small wicks
🎯 Smart Money Analysis
• Require Kill Zone: Enable for fewer signals
• Volume Multiplier: Higher = only big moves
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📖 Signal Interpretation
Note: Most examples are shown on 15M timeframe, because that's where you can best see all market manipulations in action!
Signal Importance Hierarchy
1. 🎯 Smart Money Signal - Strongest signal
2. 🪤 Trapped Traders - High reliability
3. 🎣 Stop Hunt - Medium reliability
4. 💧 Liquidity Touch - Needs confirmation
Interpretation Examples
Scenario 1: "Liquidity Grab"
You see: LIQ HIGH x20 at 100,000
+ Stop Hunt ⬆
+ Volume spike
= Likely decline
Scenario 2: "Trap and Reverse"
You see: TRAPPED LONGS
+ Kill Zone Active
+ SM SHORT 🎯
= Strong short signal
Scenario 3: "Inducement Break"
You see: Inducement Level break
+ No volume
+ Status: NORMAL
= Likely trap, wait
Colors and Their Meaning
• 🔵 Blue - Liquidity (neutral)
• 🟠 Orange - Caution, possible trap
• 🔴 Red - Negative signal / long trap
• 🟢 Green - Positive signal / short trap
• 🟣 Purple - Stop hunt (neutral, wait for reaction)
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💡 Trading Strategies
Strategy 1: "Liquidity Sweep" (For Beginners)
Assumptions:
• Trade only with trend
• Wait for liquidity collection
• Enter on return
Best timeframe for learning: 15M - you'll see all manipulation stages in real-time!
Steps:
1. Identify trend (Market Bias in table)
2. Find nearest liquidity zone aligned with trend
3. Wait for price to touch and bounce
4. Enter after confirming candle
5. Stop loss beyond liquidity zone
6. Take profit at next zone
Example:
• Trend: BULLISH
• Liquidity at 100,000 (support)
• Price drops to 99,950 (stop hunt)
• Returns above 100,000
• LONG with SL 99,900, TP 101,000
Strategy 2: "Kill Zone Hunter" (Intermediate)
Assumptions:
• Trade only in Kill Zones
• Exploit stop hunts
• Aggressive entries
Ideal timeframe: 15M - in Kill Zones on 15M you'll see exactly every Smart Money move!
Steps:
1. Wait for Kill Zone (red background)
2. Watch first 15-30 minutes
3. Look for stop hunt
4. Enter immediately after stop hunt
5. Tight stop loss (0.5 ATR)
6. Scale position with profit
Tips:
• London Open - often stop hunt down, then rise
• NY Open - often tests Asian High/Low
• Midnight - position resets, false moves
Strategy 3: "Smart Money Follow" (Advanced)
Assumptions:
• Ignore minor signals
• Wait only for SM signals
• Larger positions, fewer trades
Steps:
1. Status must show HIGH RISK or WATCH LIQUIDITY
2. Wait for stop hunt series (minimum 2)
3. Watch Trapped Traders
4. Enter only on SM signal 🎯
5. Stop loss beyond last extreme
6. Hold position until opposite SM signal
Position Management:
• 1/3 position at signal
• 1/3 after direction confirmation
• 1/3 after breaking last high/low
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🛡️ Risk Management
Basic Rules
1. Never place stop loss at obvious level
o Add 5-10 pips buffer
o Avoid round numbers
o Check where Liquidity Pools are
2. Reduce position in Kill Zones
o 50% of normal size
o Or wait until they end
3. Avoid trading at HIGH RISK status
o Unless experienced
o Then reverse logic - look for traps
Stop Loss - Where to Place?
❌ Bad places:
• Exactly below/above candle
• At Inducement Levels
• At round numbers
• Where Liquidity Pools visible
✅ Good places:
• Beyond last stop hunt
• Behind Trapped Traders zone
• Minimum 1.5 ATR from entry
• Where SM would lose significantly
Position Sizing
Safe position formula:
Risk per trade = 1-2% of capital
Position size = Risk / (Stop Loss in pips × Pip value)
Modifiers:
• Kill Zone active: × 0.5
• After SM signal: × 1.5
• HIGH RISK status: × 0.3
• With trend: × 1.2
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❓ FAQ
General Questions
Q: Indicator shows nothing, what to do? A: Check in settings:
1. Reduce "Min. Touches" to 1
2. Increase "Detection Sensitivity"
3. Enable "Debug Mode" to see statistics
4. Ensure proper timeframe (15M+)
5. On 15M sometimes wait a few candles for first signal
Tip for 15M: If you don't see signals on 15M, enable Debug Mode. If it shows Liq=0, reduce "Min. Touches" to 1 and increase "Liquidity Lookback" to 100.
Q: Too many signals, I'm lost A:
1. Increase requirements (min. touches, respects)
2. Disable some components
3. Trade only strongest signals (SM 🎯)
Q: Which timeframe is best? A:
• 15M - PERFECT FOR LEARNING! Many signals, shows all manipulations, great for beginners
• 30M - Good balance, less noise than 15M
• 1H - Medium-term trading, clear setups
• 4H - Fewer signals but bigger moves, for patient traders
• 1D - Only major levels, position trading
💡 For beginners: Start with 15M! That's where you'll see how the market really works - stop hunts, traps, false breakouts. Only after understanding the mechanics, move to higher timeframes.
Technical Questions
Q: What does "x15" mean at LIQ? A: Number of level touches. Higher = stronger level.
Q: Why are Kill Zones red? A: High risk periods - most manipulation.
Q: What does Debug Mode show? A: When "Show Debug Info" is enabled, a label appears above the last candle with:
• Liq=X - number of Liquidity Pools found
• Ind=X - number of Inducement Levels found
• HighLvl=X - number of highs stored in memory
• LowLvl=X - number of lows stored in memory
This helps understand why sometimes no signals appear (e.g., when Liq=0).
Trading Questions
Q: Can I use only this indicator? A: Yes, but better combined with:
• Trend analysis
• Support/resistance
• Volume
Q: Does it work on all markets? A: Best on liquid ones:
• ✅ Major Forex pairs
• ✅ Main indices
• ✅ BTC, ETH
• ⚠️ Less liquid altcoins
• ❌ Exotic pairs, small caps
Q: How to remove indicator from chart? A:
• Method 1: Click X next to indicator name
• Method 2: Right-click on name → "Remove"
• Method 3: In indicators panel (left side) find and click trash icon
Q: Can I use multiple copies of the indicator? A: Yes! You can add the indicator multiple times with different settings (e.g., one for liquidity, another for stop hunts only).
Q: How much can I earn? A: Indicator doesn't guarantee profit. It's an analysis tool, not a trading system. Your results depend on:
• Discipline
• Risk management
• Experience
• Market conditions
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🎯 Quick Start - Checklist
Pro Tip: After adding the indicator, click the star ⭐ to add to favorites - you'll have quick access in the future!
For Beginners:
• After adding indicator, set your UTC offset in settings
• Start on 15M timeframe (where you'll see the most action!)
• Observe for a week without trading
• Learn to recognize each signal type
• Practice on 15M, then try 1H
• Start with "Liquidity Sweep" strategy
• Max 1% risk per trade
• Keep trading journal
First Steps:
1. Days 1-3: Observe and learn signals
2. Days 4-7: Mark potential entries (no trading)
3. Week 2: Demo trading with small positions
4. Week 3+: Real trading with strict risk management
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💬 Support
• Questions & Suggestions: Comments section under the indicator
• Bug Reports: Describe issue in comments with timeframe and instrument
• Updates: Click "Follow" to receive notifications
• Examples: Regular trading idea publications with usage examples
💡 Community: Share your setups in comments - let's help each other!
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⚖️ Disclaimer
This indicator is an educational and analytical tool. It does not constitute investment advice. Trading involves risk of capital loss. Always conduct your own analysis and apply appropriate risk management. Historical results do not guarantee future profits.
Schmit Trading LiquidityDescription
Schmit Trading Liquidity Marker automatically spots and labels open liquidity sweep levels by detecting classic stop-run patterns (Bull→Bear for highs, Bear→Bull for lows) across multiple timeframes. Lines are drawn exactly at the wick of the triggering candle and removed as soon as price “sweeps” through them, keeping your chart clean and focused on live levels only.
How It Works
1. Pattern Detection
• Liquidity High: When a bullish candle is immediately followed by a bearish candle (Bull→Bear), the script records the higher of the two wicks.
• Liquidity Low: When a bearish candle is immediately followed by a bullish candle (Bear→Bull), the script records the lower of the two wicks.
2. Multi-Timeframe Support
• Choose up to six timeframes (5 min, 15 min, 30 min, 1 h, 4 h, daily) via checkboxes.
• Each timeframe is evaluated independently, and liquidity levels are drawn on your current chart.
3. Precision Wick Placement
• Lines start at bar_index – 1 so they align exactly with the wick of the signal candle, regardless of your chart’s timeframe.
4. Automatic Cleanup
• As soon as price closes beyond a drawn line (sweep), that line is deleted automatically.
Inputs
Input Name Description
Show 5 min. Enable liquidity detection on the 5-minute timeframe.
Show 15 min. Enable liquidity detection on the 15-minute timeframe.
Show 30 min. Enable liquidity detection on the 30-minute timeframe.
Show 1 h. Enable liquidity detection on the 1-hour timeframe.
Show 4 h. Enable liquidity detection on the 4-hour timeframe.
Show 1 D. Enable liquidity detection on the daily timeframe.
High Line Color. Color of Bull→Bear (liquidity high) lines (default: red).
Low Line Color. Color of Bear→Bull (liquidity low) lines (default: blue).
Line Length. How many bars each liquidity line extends to the right.
Usage Tips
• Focus on Live Zones: Combine with volume or order-flow tools to confirm genuine
liquidity sweeps.
• Multiple TFs: Enable higher timeframes for major liquidity clusters; lower timeframes
for fine‐tuning entries.
• Chart Cleanliness: Lines self‐delete on sweep, ensuring no manual cleanup is needed.
⸻
Disclosure & License
This indicator is Open-Source under the Mozilla Public License 2.0. Feel free to review, adapt, and improve the code. No performance guarantees—use responsibly and backtest any strategy before trading live.
Enigma Sniper 369The "Enigma Sniper 369" is a custom-built Pine Script indicator designed for TradingView, tailored specifically for forex traders seeking high-probability entries during high-volatility market sessions.
Unlike generic trend-following or scalping tools, this indicator uniquely combines session-based "kill zones" (London and US sessions), momentum-based candle analysis, and an optional EMA trend filter to pinpoint liquidity grabs and reversal opportunities.
Its originality lies in its focus on liquidity hunting—identifying levels where stop losses are likely clustered (around swing highs/lows and wick midpoints)—and providing visual entry zones that are dynamically removed once price breaches them, reducing clutter and focusing on actionable signals.
The name "369" reflects the structured approach of three key components (session timing, candle logic, and trend filter) working in harmony to snipe precise entries.
What It Does
"Enigma Sniper 369" identifies potential buy and sell opportunities by drawing two types of horizontal lines on the chart during user-defined London and US
session kill zones:
Solid Lines: Mark the swing low (for buys) or swing high (for sells) of a trigger candle, indicating a potential entry point where stop losses might be clustered.
Dotted Lines: Mark the 50% level of the candle’s wick (lower wick for buys, upper wick for sells), serving as a secondary confirmation zone for entries or tighter stop-loss placement.
These lines are plotted only when specific candle conditions are met within the kill zones, and they are automatically deleted once the price crosses them, signaling that the liquidity at that level has likely been grabbed. The indicator also includes an optional EMA filter to ensure trades align with the broader trend, reducing false signals in choppy markets.
How It Works
The indicator’s logic is built on a multi-layered approach:
Kill Zone Timing: Trades are only considered during user-defined London and US session hours (e.g., London from 02:00 to 12:00 UTC, as seen in the screenshots). These sessions are known for high volatility and liquidity, making them ideal for capturing institutional moves.
Candle-Based Momentum Logic:
Buy Signal: A candle must close above its midpoint (indicating bullish momentum) and have a lower low than the previous candle (suggesting a potential liquidity grab below the previous swing low). This is expressed as close > (high + low) / 2 and low < low .
Sell Signal: A candle must close below its midpoint (bearish momentum) and have a higher high than the previous candle (indicating a potential liquidity grab above the previous swing high), expressed as close < (high + low) / 2 and high > high .
These conditions ensure the indicator targets candles that break recent structure to hunt stop losses while showing directional momentum.
Optional EMA Filter: A 50-period EMA (customizable) can be enabled to filter signals based on trend direction.
Buy signals are only generated if the EMA is trending upward (ema_value > ema_value ), and sell signals require a downward EMA trend (ema_value < ema_value ). This reduces noise by aligning entries with the broader market trend.
Liquidity Levels and Deletion Logic:
For a buy signal, a solid green line is drawn at the candle’s low, and a dotted green line at the 50% level of the lower wick (from the candle body’s bottom to the low).
For a sell signal, a solid red line is drawn at the candle’s high, and a dotted red line at the 50% level of the upper wick (from the body’s top to the high).
These lines extend to the right until the price crosses them, at which point they are deleted, indicating the liquidity at that level has been taken (e.g., stop losses triggered).
Alerts: The indicator includes alert conditions for buy and sell signals, notifying traders when a new setup is identified.
Underlying Concepts
The indicator is grounded in the concept of liquidity hunting, a strategy often employed by institutional traders. Markets frequently move to levels where stop losses are clustered—typically just beyond swing highs or lows—before reversing in the opposite direction. The "Enigma Sniper 369" targets these moves by identifying candles that break structure (e.g., a lower low or higher high) during high-volatility sessions, suggesting a potential sweep of stop losses. The 50% wick level acts as a secondary confirmation, as this midpoint often represents a zone where tighter stop losses are placed by retail traders. The optional EMA filter adds a trend-following element, ensuring entries are taken in the direction of the broader market momentum, which is particularly useful on lower timeframes like the 15-minute chart shown in the screenshots.
How to Use It
Here’s a step-by-step guide based on the provided usage example on the GBP/USD 15-minute chart:
Setup the Indicator: Add "Enigma Sniper 369" to your TradingView chart. Adjust the London and US session hours to match your timezone (e.g., London from 02:00 to 12:00 UTC, US from 13:00 to 22:00 UTC). Customize the EMA period (default 50) and line styles/colors if desired.
Identify Kill Zones: The indicator highlights the London session in light green and the US session in light purple, as seen in the screenshots. Focus on these periods for signals, as they are the most volatile and likely to produce liquidity grabs.
Wait for a Signal: Look for solid and dotted lines to appear during the kill zones:
Buy Setup: A solid green line at the swing low and a dotted green line at the 50% lower wick level indicate a potential buy. This suggests the market may have grabbed liquidity below the swing low and is now poised to move higher.
Sell Setup: A solid red line at the swing high and a dotted red line at the 50% upper wick level indicate a potential sell, suggesting liquidity was taken above the swing high.
Place Your Trade:
For a buy, set a buy limit order at the dotted green line (50% wick level), as this is a more conservative entry point. Place your stop loss just below the solid green line (swing low) to cover the full swing. For example, in the screenshots, the market retraces to the dotted line at 1.32980 after a liquidity grab below the swing low, triggering a buy limit order.
For a sell, set a sell limit order at the dotted red line, with a stop loss just above the solid red line.
Monitor Price Action: Once the price crosses a line, it is deleted, indicating the liquidity at that level has been taken. In the screenshots, after the buy limit is triggered, the market moves higher, confirming the setup. The caption notes, “The market returns and tags us in long with a buy limit,” highlighting this retracement strategy.
Additional Context: Use the indicator to identify liquidity levels that may be targeted later. For example, the screenshot notes, “If a new session is about to open I will wait for the grab liquidity to go long,” showing how the indicator can be used to anticipate future moves at session opens (e.g., London open at 1.32980).
Risk Management: Always set a stop loss below the swing low (for buys) or above the swing high (for sells) to protect against adverse moves. The 50% wick level helps tighten entries, improving the risk-reward ratio.
Practical Example
On the GBP/USD 15-minute chart, during the London session (02:00 UTC), the indicator identifies a buy setup with a solid green line at 1.32901 (swing low) and a dotted green line at 1.32980 (50% wick level). The market initially dips below the swing low, grabbing liquidity, then retraces to the dotted line, triggering a buy limit order. The price subsequently rises to 1.33404, yielding a profitable trade. The user notes, “The logic is in the last candle it provides new level to go long,” emphasizing the indicator’s ability to identify fresh levels after a liquidity sweep.
Customization Tips
Adjust the EMA period to suit your timeframe (e.g., a shorter period like 20 for faster signals on lower timeframes).
Modify the session hours to align with your broker’s timezone or specific market conditions.
Use the alert feature to get notified of new setups without constantly monitoring the chart.
Why It’s Useful for Traders
The "Enigma Sniper 369" stands out by combining session timing, momentum-based candle analysis, and liquidity hunting into a single tool. It provides clear, actionable levels for entries and stop losses, removes invalid signals dynamically, and aligns trades with high-probability market conditions. Whether you’re a scalper looking for quick moves during London open or a swing trader targeting session-based reversals, this indicator offers a structured, data-driven approach to trading.
Smart Liquidity Wave [The_lurker]"Smart Liquidity Wave" هو مؤشر تحليلي متطور يهدف لتحديد نقاط الدخول والخروج المثلى بناءً على تحليل السيولة، قوة الاتجاه، وإشارات السوق المفلترة. يتميز المؤشر بقدرته على تصنيف الأدوات المالية إلى أربع فئات سيولة (ضعيفة، متوسطة، عالية، عالية جدًا)، مع تطبيق شروط مخصصة لكل فئة تعتمد على تحليل الموجات السعرية، الفلاتر المتعددة، ومؤشر ADX.
فكرة المؤشر
الفكرة الأساسية هي الجمع بين قياس السيولة اليومية الثابتة وتحليل ديناميكي للسعر باستخدام فلاتر متقدمة لتوليد إشارات دقيقة. المؤشر يركز على تصفية الضوضاء في السوق من خلال طبقات متعددة من التحليل، مما يجعله أداة ذكية تتكيف مع الأدوات المالية المختلفة بناءً على مستوى سيولتها.
طريقة عمل المؤشر
1- قياس السيولة:
يتم حساب السيولة باستخدام متوسط حجم التداول على مدى 14 يومًا مضروبًا في سعر الإغلاق، ويتم ذلك دائمًا على الإطار الزمني اليومي لضمان ثبات القيمة بغض النظر عن الإطار الزمني المستخدم في الرسم البياني.
يتم تصنيف السيولة إلى:
ضعيفة: أقل من 5 ملايين (قابل للتعديل).
متوسطة: من 5 إلى 20 مليون.
عالية: من 20 إلى 50 مليون.
عالية جدًا: أكثر من 50 مليون.
هذا الثبات في القياس يضمن أن تصنيف السيولة لا يتغير مع تغير الإطار الزمني، مما يوفر أساسًا موثوقًا للإشارات.
2- تحليل الموجات السعرية:
يعتمد المؤشر على تحليل الموجات باستخدام متوسطات متحركة متعددة الأنواع (مثل SMA، EMA، WMA، HMA، وغيرها) يمكن للمستخدم اختيارها وتخصيص فتراتها ، يتم دمج هذا التحليل مع مؤشرات إضافية مثل RSI (مؤشر القوة النسبية) وMFI (مؤشر تدفق الأموال) بوزن محدد (40% للموجات، 30% لكل من RSI وMFI) للحصول على تقييم شامل للاتجاه.
3- الفلاتر وطريقة عملها:
المؤشر يستخدم نظام فلاتر متعدد الطبقات لتصفية الإشارات وتقليل الضوضاء، وهي من أبرز الجوانب المخفية التي تعزز دقته:
الفلتر الرئيسي (Main Filter):
يعمل على تنعيم التغيرات السعرية السريعة باستخدام معادلة رياضية تعتمد على تحليل الإشارات (Signal Processing).
يتم تطبيقه على السعر لاستخراج الاتجاهات الأساسية بعيدًا عن التقلبات العشوائية، مع فترة زمنية قابلة للتعديل (افتراضي: 30).
يستخدم تقنية مشابهة للفلاتر عالية التردد (High-Pass Filter) للتركيز على الحركات الكبيرة.
الفلتر الفرعي (Sub Filter):
يعمل كطبقة ثانية للتصفية، مع فترة أقصر (افتراضي: 12)، لضبط الإشارات بدقة أكبر.
يستخدم معادلات تعتمد على الترددات المنخفضة للتأكد من أن الإشارات الناتجة تعكس تغيرات حقيقية وليست مجرد ضوضاء.
إشارة الزناد (Signal Trigger):
يتم تطبيق متوسط متحرك على نتائج الفلتر الرئيسي لتوليد خط إشارة (Signal Line) يُقارن مع عتبات محددة للدخول والخروج.
يمكن تعديل فترة الزناد (افتراضي: 3 للدخول، 5 للخروج) لتسريع أو تبطيء الإشارات.
الفلتر المربع (Square Filter):
خاصية مخفية تُفعّل افتراضيًا تعزز دقة الفلاتر عن طريق تضييق نطاق التذبذبات المسموح بها، مما يقلل من الإشارات العشوائية في الأسواق المتقلبة.
4- تصفية الإشارات باستخدام ADX:
يتم استخدام مؤشر ADX كفلتر نهائي للتأكد من قوة الاتجاه قبل إصدار الإشارة:
ضعيفة ومتوسطة: دخول عندما يكون ADX فوق 40، خروج فوق 50.
عالية: دخول فوق 40، خروج فوق 55.
عالية جدًا: دخول فوق 35، خروج فوق 38.
هذه العتبات قابلة للتعديل، مما يسمح بتكييف المؤشر مع استراتيجيات مختلفة.
5- توليد الإشارات:
الدخول: يتم إصدار إشارة شراء عندما تنخفض خطوط الإشارة إلى ما دون عتبة محددة (مثل -9) مع تحقق شروط الفلاتر، السيولة، وADX.
الخروج: يتم إصدار إشارة بيع عندما ترتفع الخطوط فوق عتبة (مثل 109 أو 106 حسب الفئة) مع تحقق الشروط الأخرى.
تُعرض الإشارات بألوان مميزة (أزرق للدخول، برتقالي للضعيفة والمتوسطة، أحمر للعالية والعالية جدًا) وبثلاثة أحجام (صغير، متوسط، كبير).
6- عرض النتائج:
يظهر مستوى السيولة الحالي في جدول في أعلى يمين الرسم البياني، مما يتيح للمستخدم معرفة فئة الأصل بسهولة.
7- دعم التنبيهات:
تنبيهات فورية لكل فئة سيولة، مما يسهل التداول الآلي أو اليدوي.
%%%%% الجوانب المخفية في الكود %%%%%
معادلات الفلاتر المتقدمة: يستخدم المؤشر معادلات رياضية معقدة مستوحاة من معالجة الإشارات لتنعيم البيانات واستخراج الاتجاهات، مما يجعله أكثر دقة من المؤشرات التقليدية.
التكيف التلقائي: النظام يضبط نفسه داخليًا بناءً على التغيرات في السعر والحجم، مع عوامل تصحيح مخفية (مثل معامل التنعيم في الفلاتر) للحفاظ على الاستقرار.
التوزيع الموزون: الدمج بين الموجات، RSI، وMFI يتم بأوزان محددة (40%، 30%، 30%) لضمان توازن التحليل، وهي تفاصيل غير ظاهرة مباشرة للمستخدم لكنها تؤثر على النتائج.
الفلتر المربع: خيار مخفي يتم تفعيله افتراضيًا لتضييق نطاق الإشارات، مما يقلل من التشتت في الأسواق ذات التقلبات العالية.
مميزات المؤشر
1- فلاتر متعددة الطبقات: تضمن تصفية الضوضاء وإنتاج إشارات موثوقة فقط.
2- ثبات السيولة: قياس السيولة اليومي يجعل التصنيف متسقًا عبر الإطارات الزمنية.
3- تخصيص شامل: يمكن تعديل حدود السيولة، عتبات ADX، فترات الفلاتر، وأنواع المتوسطات المتحركة.
4- إشارات مرئية واضحة: تصميم بصري يسهل التفسير مع تنبيهات فورية.
5- تقليل الإشارات الخاطئة: الجمع بين الفلاتر وADX يعزز الدقة ويقلل من التشتت.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
#### **What is the Smart Liquidity Wave Indicator?**
"Smart Liquidity Wave" is an advanced analytical indicator designed to identify optimal entry and exit points based on liquidity analysis, trend strength, and filtered market signals. It stands out with its ability to categorize financial instruments into four liquidity levels (Weak, Medium, High, Very High), applying customized conditions for each category based on price wave analysis, multi-layered filters, and the ADX (Average Directional Index).
#### **Concept of the Indicator**
The core idea is to combine a stable daily liquidity measurement with dynamic price analysis using sophisticated filters to generate precise signals. The indicator focuses on eliminating market noise through multiple analytical layers, making it an intelligent tool that adapts to various financial instruments based on their liquidity levels.
#### **How the Indicator Works**
1. **Liquidity Measurement:**
- Liquidity is calculated using the 14-day average trading volume multiplied by the closing price, always based on the daily timeframe to ensure value consistency regardless of the chart’s timeframe.
- Liquidity is classified as:
- **Weak:** Less than 5 million (adjustable).
- **Medium:** 5 to 20 million.
- **High:** 20 to 50 million.
- **Very High:** Over 50 million.
- This consistency in measurement ensures that liquidity classification remains unchanged across different timeframes, providing a reliable foundation for signals.
2. **Price Wave Analysis:**
- The indicator relies on wave analysis using various types of moving averages (e.g., SMA, EMA, WMA, HMA, etc.), which users can select and customize in terms of periods.
- This analysis is integrated with additional indicators like RSI (Relative Strength Index) and MFI (Money Flow Index), weighted specifically (40% waves, 30% RSI, 30% MFI) to provide a comprehensive trend assessment.
3. **Filters and Their Functionality:**
- The indicator employs a multi-layered filtering system to refine signals and reduce noise, a key hidden feature that enhances its accuracy:
- **Main Filter:**
- Smooths rapid price fluctuations using a mathematical equation rooted in signal processing techniques.
- Applied to price data to extract core trends away from random volatility, with an adjustable period (default: 30).
- Utilizes a technique similar to high-pass filters to focus on significant movements.
- **Sub Filter:**
- Acts as a secondary filtering layer with a shorter period (default: 12) for finer signal tuning.
- Employs low-frequency-based equations to ensure resulting signals reflect genuine changes rather than mere noise.
- **Signal Trigger:**
- Applies a moving average to the main filter’s output to generate a signal line, compared against predefined entry and exit thresholds.
- Trigger period is adjustable (default: 3 for entry, 5 for exit) to speed up or slow down signals.
- **Square Filter:**
- A hidden feature activated by default, enhancing filter precision by narrowing the range of permissible oscillations, reducing random signals in volatile markets.
4. **Signal Filtering with ADX:**
- ADX is used as a final filter to confirm trend strength before issuing signals:
- **Weak and Medium:** Entry when ADX exceeds 40, exit above 50.
- **High:** Entry above 40, exit above 55.
- **Very High:** Entry above 35, exit above 38.
- These thresholds are adjustable, allowing the indicator to adapt to different trading strategies.
5. **Signal Generation:**
- **Entry:** A buy signal is triggered when signal lines drop below a specific threshold (e.g., -9) and conditions for filters, liquidity, and ADX are met.
- **Exit:** A sell signal is issued when signal lines rise above a threshold (e.g., 109 or 106, depending on the category) with all conditions satisfied.
- Signals are displayed in distinct colors (blue for entry, orange for Weak/Medium, red for High/Very High) and three sizes (small, medium, large).
6. **Result Display:**
- The current liquidity level is shown in a table at the top-right of the chart, enabling users to easily identify the asset’s category.
7. **Alert Support:**
- Instant alerts are provided for each liquidity category, facilitating both automated and manual trading.
#### **Hidden Aspects in the Code**
- **Advanced Filter Equations:** The indicator uses complex mathematical formulas inspired by signal processing to smooth data and extract trends, making it more precise than traditional indicators.
- **Automatic Adaptation:** The system internally adjusts based on price and volume changes, with hidden correction factors (e.g., smoothing coefficients in filters) to maintain stability.
- **Weighted Distribution:** The integration of waves, RSI, and MFI uses fixed weights (40%, 30%, 30%) for balanced analysis, a detail not directly visible but impactful on results.
- **Square Filter:** A hidden option, enabled by default, narrows signal range to minimize dispersion in high-volatility markets.
#### **Indicator Features**
1. **Multi-Layered Filters:** Ensures noise reduction and delivers only reliable signals.
2. **Liquidity Stability:** Daily liquidity measurement keeps classification consistent across timeframes.
3. **Comprehensive Customization:** Allows adjustments to liquidity thresholds, ADX levels, filter periods, and moving average types.
4. **Clear Visual Signals:** User-friendly design with easy-to-read visuals and instant alerts.
5. **Reduced False Signals:** Combining filters and ADX enhances accuracy and minimizes clutter.
#### **Disclaimer**
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
GTC Liquidity OscillatorThe GTC Liquidity Oscillator is a groundbreaking tool in the realm of liquidity analysis, offering a first-of-it's-kind approach to market evaluation. Unlike traditional liquidity indicators that focus on isolated economic data, the GTC Liquidity Oscillator consolidates global Money Supply (M2) data from major economies and adjusts them using their corresponding exchange rates to create a unified liquidity measure.
What sets the GTC Liquidity Oscillator apart is its unique application to mean reversion trading. By transforming raw liquidity data into a smooth, oscillating value, it allows traders to visualize extreme liquidity conditions that often precede significant market shifts. The GTC Liquidity Oscillator excels at identifying moments when global liquidity conditions become overly stressed or excessively abundant—signals that have historically correlated with critical turning points in asset markets
Are you ready to harness the power of global liquidity like never before?
🌍 Why the GTC Liquidity Oscillator Is Different:
Unlike anything you’ve seen before, the GTC Liquidity Oscillator merges the Money Supply (M2) data from the largest economies on the planet—the USA, Europe, China, Japan, the UK, Canada, Australia, and India. It then transforms and consolidates this data into a single, powerful metric that exposes liquidity imbalances with precision.
💡 How It Works:
Forget cluttered indicators and noise. The GTC Liquidity Oscillator offers a crystal-clear, oscillating signal designed specifically for mean reversion traders. It highlights moments when global liquidity is stretched to extremes—an ideal setup for catching powerful reversals.
📈 Why You Need This Tool:
✅ First of Its Kind: No other indicator offers a comprehensive view of global liquidity, perfectly tuned for mean reversion trading.
✅ Perfect for Extreme Conditions: Identifies when liquidity levels become overly stressed or overly abundant, providing lucrative entry and exit signals.
✅ Works Across Markets: Stocks, forex, commodities, cryptocurrencies—you name it, the GTC Liquidity Oscillator enhances your trading strategy.
✅ Visual Clarity: Color-coded signals and smooth oscillation eliminate the guesswork, giving you a straightforward path to better trades.
🔥 How To Use It:
Identify Extremes: Look for the GTC Liquidity Oscillator entering overbought or oversold zones.
Time Your Entries & Exits: Capitalize on liquidity-driven market reversals before the crowd.
Stay Ahead of the Market: Use a global liquidity perspective to enhance your existing strategy or build a completely new one.
📌 Revolutionize Your Trading.
This is more than an indicator—it’s a global liquidity radar designed to give you a decisive edge in volatile markets. Whether you’re trading short-term reversals or looking for long-term opportunities, the GTC Liquidity Oscillator is your key to understanding how liquidity impacts price action.
👉 Don’t just trade. Trade with precision.
💥 Get the GTC Liquidity Oscillator now and start turning global liquidity insights into profits!
⚠️ Disclaimer:
The GTC Liquidity Oscillator is a powerful tool designed to enhance your market analysis by providing unique insights into global liquidity conditions. However, it is not a replacement for comprehensive market analysis or prudent risk management. Always combine this indicator with thorough research, technical analysis, and a well-structured trading plan. Past performance is not indicative of future results. Trade responsibly.
ICT Smart Money Liquidity LevelsThe ICT Smart Money Liquidity Levels indicator is designed to visualize key liquidity areas across multiple timeframes. Based on ICT concepts, this tool can help traders analyze price movement, liquidity sweeps, and expansion levels without switching between timeframes.
This indicator highlights liquidity levels at significant highs and lows, allowing users to track potential areas of interest where price may react. By also incorporating historical measurements, it also provides forecasted average sweep and expansion zones.
Features:
- Liquidity Levels
Plots previous HTF candle highs and lows. Available for 1H, 4H, Daily.
- Major Liquidity Levels
Highlights areas where price previously reached a significant high or low within 10 HTF candles. Available for 1H, 4H, Daily.
- Sweep and Expansion Forecast
Uses historical price data to forecast the average sweep and expansion levels for the next HTF candle. Available for 4H, Daily, Weekly, Monthly.
Why Is This Indicator Useful?
Based on ICT concepts, price seeks liquidity, often targeting trapped stops above highs and below lows before reversing or continuing its trend. High-timeframe (HTF) highs and lows, such as 1H, 4H, and Daily liquidity levels, act as natural draw points where price is likely to react. These levels represent areas where stop hunts, liquidity grabs, and institutional order flow often take place. By marking these zones, traders can anticipate where price may seek liquidity before making a significant move.
Additionally, historical liquidity sweeps and expansion zones provide insight into how price has behaved in similar situations in the past. According to ICT methodology, price often manipulates liquidity before expanding in the intended direction. By tracking average sweep and expansion levels, traders can forecast potential price movement, aligning their entries with areas where liquidity has historically been taken or distributed.
Disclaimer:
This indicator is for informational and educational purposes only. It does not provide financial, investment, or trading advice. No guarantees are made regarding accuracy, completeness, or profitability. Trading involves risk, and past performance does not indicate future results. Users are solely responsible for their trading decisions. By using this indicator, you acknowledge that the creator is not liable for any financial losses or decisions based on the information provided.
More Examples:
[TehThomas] - ICT VI / FVG / IFVG / Liquidity📌 Overview
This TradingView indicator is designed to help traders spot key price inefficiencies and liquidity events based on ICT (Inner Circle Trader) concepts. The script automatically highlights important areas on the chart, such as Volume Imbalances (VI), Fair Value Gaps (FVG), Inverted Fair Value Gaps (IFVG), and Liquidity Sweeps, giving traders a clear view of where price might react.
By marking these zones visually, the indicator serves as a liquidity map, showing where smart money could be targeting orders or rebalancing price action.
🔑 How the Script Works
The indicator detects four major market inefficiencies and liquidity patterns, each offering valuable insights into how price might behave:
1️⃣ Volume Imbalance (VI)
Bullish VI: When the current candle has higher volume than the previous candle in an upward move, this suggests demand is pushing the price up, creating potential buying opportunities.
Bearish VI: When the current candle has higher volume than the previous candle in a downward move, this suggests supply is pushing the price down, highlighting potential selling opportunities.
How to take trades:
Buy: Enter a long position when a bullish VI appears and the price is near a support zone or key level (such as the previous swing low or FVG).
Sell: Enter a short position when a bearish VI appears and the price is near a resistance zone or key level (such as the previous swing high or FVG).
2️⃣ Fair Value Gap (FVG)
Bullish FVG: A gap in price action where the low of the second candle is higher than the high of the first candle. Price tends to return to fill these gaps before continuing upward.
Bearish FVG: A gap in price action where the high of the second candle is lower than the low of the first candle. Price tends to return to fill these gaps before continuing downward.
How to take trades:
Buy: Enter long after a pullback into a bullish FVG zone and if price action shows signs of rejection (such as bullish candlestick patterns or strong momentum).
Sell: Enter short after a pullback into a bearish FVG zone and if price action shows signs of rejection (such as bearish candlestick patterns or strong downward momentum).
3️⃣ Inverted Fair Value Gap (IFVG)
An Inverted Fair Value Gap (IFVG) refers to a Fair Value Gap (FVG) that has already been filled or broken through by price action. Essentially, it is a gap that has been revisited by price and has now been mitigated or broken.
Example:
For Continuation: After price fills the gap, it may continue in the same direction. If price breaks through a bullish FVG and shows continuation, it may signal that the market is still in a strong uptrend.
For Reversal: If the price returns to an inverted FVG after breaching it, and then starts showing signs of reversal (e.g., reversal candlestick patterns, or a shift in momentum), this could signal an entry point in the opposite direction.
How to take trades:
Buy: Consider entering long when price returns to an IFVG zone that aligns with other bullish confluences, such as a bullish VI or liquidity sweep.
Sell: Consider entering short when price returns to a bearish IFVG zone that aligns with other bearish confluences, such as a bearish VI or liquidity sweep.
4️⃣ Liquidity Sweeps
Liquidity sweeps occur when the market temporarily breaks a key high or low to trigger stop-loss orders or lure traders into the wrong direction before reversing.
How to take trades:
Buy: If a liquidity sweep breaks a key resistance or swing high but fails to close above it, enter long when price begins to reverse in the opposite direction, ideally near a previous support or FVG zone.
Sell: If a liquidity sweep breaks a key support or swing low but fails to close below it, enter short when price begins to reverse in the opposite direction, ideally near a previous resistance or FVG zone.
🎯 Trade Setup and Confirmation Strategy
Here’s how to combine these concepts for high-probability trade setups:
Liquidity Sweeps + Volume Imbalances:
If a liquidity sweep occurs in conjunction with a volume imbalance (especially on a higher timeframe), this can act as a confirmation signal to enter the trade.
Example: A liquidity sweep breaks a previous high, but the price fails to close above it. If this happens alongside a break of a Volume imbalance (VI) , it could be a strong signal to sell.
FVG/IFVG Mitigation + Liquidity Sweeps:
Price often returns to mitigate imbalances, and when a liquidity sweep occurs near an unfilled gap, it could trigger a reversal.
Example: After an upward trend, a bearish liquidity sweep breaks a previous swing low, and price then revisits a bearish FVG and creates an IFVG, signaling an opportunity to buy.
Directional Bias (Higher Timeframe Analysis):
Always consider the higher timeframe trend to confirm trade direction. A bullish FVG or bullish VI on the lower timeframe aligns with a bullish trend on the higher timeframe.
Confluence with Key Levels:
When these patterns align with important price levels such as support, resistance, or previously identified swing highs/lows, it enhances the probability of a successful trade.
⚙️ How It Helps in Trading Strategy
The indicator assists in several aspects of trading:
Liquidity Hunts: Price often sweeps liquidity before making major moves.
Entry Confirmation: Use imbalances or sweeps as extra confluence for trade entries.
Mitigation Zones: Price frequently returns to fill inefficiencies before reversing.
Directional Bias: Bullish or bearish gaps align with the higher timeframe narrative.
🔍 ICT Concepts Included
✅Volume Imbalance (VI): High-volume inefficiencies.
✅Fair Value Gap (FVG): Standard price gaps.
✅Inverted Fair Value Gap (IFVG): Filtered large price gaps.
✅Liquidity Sweeps: Stop-hunting patterns by smart money.
⚠️ Disclaimer
This indicator is built for educational purposes and should not be considered financial advice. Trading carries risk, and no tool guarantees profits. Always use proper risk management and perform your own analysis before entering any trade.
Global Liquidity ShiftedOverview
This indicator tracks global liquidity by aggregating M2 money supply data from major economies around the world, denominated in US dollars. It allows users to shift the data forward or backward in time to analyze correlations with other assets, particularly Bitcoin.
Features
Comprehensive global liquidity measurement combining M2 data from 21 major economies
Adjustable time shift parameter (0-24 months) to align liquidity data with price movements
Clean visualization with customizable labels
Background
Based on research by Lyn Alden and Sam Callahan (September 2024), which found that Bitcoin moves in the direction of global liquidity 83% of the time in any given 12-month period - a higher correlation than any other major asset class. This makes Bitcoin an excellent "global liquidity barometer."
How to Use
Add the indicator to your chart
Adjust the "Forward Shift (Months)" parameter to align global liquidity with asset price movements
Compare the shifted liquidity line with Bitcoin or other asset prices to identify correlations and potential divergences
Included Economies
This indicator aggregates M2 data from:
North America: US, Canada
Eurozone
Non-EU Europe: Switzerland, UK, Finland, Russia
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: UAE, Turkey
Africa: South Africa
Pacific: New Zealand
## Interpretation
Rising global liquidity typically supports risk assets, particularly Bitcoin. When liquidity contracts, risk assets often face headwinds. By shifting the liquidity data, you can identify lead/lag relationships between liquidity conditions and asset prices.
Notes
All M2 data is converted to USD to account for both money supply changes and relative currency strength
The indicator serves as a macro framework for understanding liquidity-driven market cycles
References
Based on research published at: www.lynalden.com
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
LIT_Globas_sys - Liquidity Inducement Theorem (SMC, IDM)LIT_GLOBAL_SYS Trading Tool Documentation, is a comprehensive market analysis tool that includes all components needed for trading according to Liquidity Inducement Theorem (LIT). LIT differs from classical trading methods and is considered a highly effective and profitable strategy.
What can LIT_GLOBAL_SYS do?
--- Market Structure
The main feature of Liquidity Inducement Theorem is building the correct structure, specifically construction taking into account inducement (IDM). Thus, a new HH or LL can only form when the price has taken the first correct pullback - inducement (IDM), and after this, we understand the location of BoS (break of structure) and CHoCH (change of character).
LIT_GLOBAL_SYS automatically and perfectly displays the correct structure following all LIT rules. Looking at the indicator, a trader always understands which range the price is currently in and where it's trending at the moment. The indicator also shows dynamic (live) levels, providing a clear understanding of the market structure in real-time.
The indicator settings allow customization of each structural element according to trader preferences. For example, you can change the style, color, and shape of structural objects.
--- Correct Pullbacks and Inside Bars
In Liquidity Inducement Theorem, correct pullbacks are fundamental. The structure, order blocks, liquidity levels, order flow, and single candle order blocks (CSOB) are all built based on pullbacks.
What is a pullback?
- When the next candle updates the low of the previous candle, we can finish drawing an upward pullback
- We can start drawing a downward correct pullback when the next candle updates the low of the previous candle
- The downward movement will continue until the opposite occurs - updating the high of the previous candle
There are complexities in determining pullbacks - these are inside bars. In Liquidity Inducement Theorem, inside bars are completely ignored!
For example, in an upward movement, at some point, candles may stop updating the high and low of the previous candle and remain within the boundaries of the previous candle. Theoretically, there could be any number of such candles from 1 to infinity. In such cases, it's important to wait for the price to exit the mother candle (the candle after which other candles remained within its high and low range).
LIT_GLOBAL_SYS easily handles this and displays both pullbacks and inside bars correctly.
--- Order Blocks and Fair Value Gaps (FVG)
In Liquidity Inducement Theorem, order blocks are defined differently from classical order blocks:
1. The order block must take liquidity from the previous candle
2. The order block must have Fair Value Gaps (FVG) before it
3. Inside bars are completely ignored for both Order Blocks and FVG
4. If an OB fulfills the first condition (taking liquidity from the previous candle) but doesn't have FVG before it, this block is moved forward along the candles until there is an imbalance before it
There are two most important order blocks in LIT strategy:
1. Inducement order block (idm ob) - the first order block after Inducement
2. Extreme order block (Ext ob) - the first order block before CHoCH
LIT_GLOBAL_SYS perfectly displays correct order blocks and Fair Value Gaps following all rules. It offers full customization options:
- Specify the number of displayed OBs
- Disable all order blocks except idm ob and Ext ob
- Change block frame color and style
- Disable or modify text display in blocks
--- Single Candle Order Block (Scob)
Rules for building Scob:
1. The candle takes liquidity from the previous candle and closes within the body of the previous candle
2. The candle following the Scob candle must close its body below the previous candle
3. Scob forms in continuation of the trend movement
4. Scob completely ignores inside bars
LIT_GLOBAL_SYS accurately displays Scob as triangles and fully ignores inside bars both left and right. The menu allows complete customization of display and quantity of displayed Scobs.
--- Liquidity Lines, Order Flow, and Three-Minute Rule
Auxiliary functions include:
- Liquidity Lines -
Each pullback is marked with a line, showing where unclosed liquidity exists. Completed lines can be hidden to help predict price movement and enter trades correctly.
- Order Flow -
The indicator implements order flow by drawing a line when a pullback is broken (closed by body) in the opposite direction until the second touch. If price moves away without a second touch, the line remains, showing unclosed OF and potential price return zones.
- Three-Minute Rule -
Some LIT traders use the three-minute rule: price manipulations in the last and first three minutes of each 15-minute candle are additional entry factors, especially in the last quarter of an hourly candle. LIT_GLOBAL_SYS displays this rule only on the one-minute timeframe with symbols below for M15 and H1.
--- Trading Sessions, PDH/PDL, and EMA
The system includes:
- Trading sessions (Tokyo, Frankfurt, London, New York) with customizable time settings
- Previous Day High and Previous Day Low (pdh/pdl) levels
- Exponential Moving Average (EMA) with adjustable length
- Equilibrium display between current BoS and CHoCH levels
--- Alert System
LIT_GLOBAL_SYS includes all necessary alerts for Liquidity Inducement Theorem:
1. SCOB
2. EMA
3. BoS, ChoCh, Sweep
4. IDM
5. IDM OB and Ext OB
Users can simply check the desired alerts in the menu and activate them to receive notifications when price reaches specified zones.
Support, Resistance & Liquidity Pool ZonesSupport, Resistance & Liquidity Pool Zones
This indicator automatically detects and plots support and resistance levels based on pivot points and highlights liquidity pool zones, areas where the trading volume exceeds the average over a set number of bars. It is designed to help traders identify key price levels and liquidity traps that can trigger significant market reactions.
Key Features:
Support & Resistance Levels:
The indicator identifies pivot highs and pivot lows as potential resistance and support levels, respectively.
You can customize the number of levels shown on the chart, making it easier to focus on the most recent and relevant price levels.
Liquidity Pool Zones:
The script detects liquidity pool zones, which are areas with above-average trading volume. These zones often act as regions of interest where price accumulation or distribution occurs, potentially leading to significant price moves.
Liquidity zones are shaded to help traders visually identify areas of high interest in the market.
Customizable Settings:
You can adjust the pivot period to fine-tune how the indicator calculates support and resistance.
Control the number of support/resistance levels displayed on the chart and the period used to detect liquidity pools.
Customize the colors for support, resistance, and liquidity zones to match your charting preferences.
Alerts:
The script includes built-in alerts for when the price breaks above resistance or falls below support, helping traders catch key breakout opportunities.
How It Works:
The script calculates support and resistance levels using pivot highs and lows based on the user-defined pivot period.
It monitors liquidity pool zones by comparing the current trading volume with the average volume over a customizable period. When the volume exceeds the set threshold, a liquidity pool zone is highlighted, providing insight into where the market may accumulate or distribute.
Alerts are triggered when the price breaks above the first resistance level or falls below the first support level, giving traders immediate notification of key market events.
How to Use:
Tune the Pivot Period: Adjust the pivot period to your preferred time horizon (default: 10 bars).
Set Liquidity Pool Parameters: Customize the number of bars considered for liquidity pool detection and the volume multiplier to detect high-volume zones.
Monitor Breakouts: Use the built-in alerts to catch potential breakout or breakdown opportunities near support and resistance levels.
This script is ideal for traders looking for an easy-to-use tool to visualize support and resistance levels and liquidity pools, aiding in decision-making and trade management.
Smart Money Concept [TradingFinder] Major OB + FVG + Liquidity🔵 Introduction
"Smart Money" refers to funds under the control of institutional investors, central banks, funds, market makers, and other financial entities. Ordinary people recognize investments made by those who have a deep understanding of market performance and possess information typically inaccessible to regular investors as "Smart Money".
Consequently, when market movements often diverge from expectations, traders identify the footprints of smart money. For example, when a classic pattern forms in the market, traders take short positions. However, the market might move upward instead. They attribute this contradiction to smart money and seek to capitalize on such inconsistencies in their trades.
The "Smart Money Concept" (SMC) is one of the primary styles of technical analysis that falls under the subset of "Price Action". Price action encompasses various subcategories, with one of the most significant being "Supply and Demand", in which SMC is categorized.
The SMC method aims to identify trading opportunities by emphasizing the impact of large traders (Smart Money) on the market, offering specific patterns, techniques, and trading strategies.
🟣 Key Terms of Smart Money Concept (SMC)
• Market Structure (Trend)
• Change of Character (ChoCh)
• Break of Structure (BoS)
• Order Blocks (Supply and Demand)
• Imbalance (IMB)
• Inefficiency (IFC)
• Fair Value Gap (FVG)
• Liquidity
• Premium and Discount
🔵 How Does the "Smart Money Concept Indicator" Work?
🟣 Market Structure
a. Accumulation
b. Market-Up
c. Distribution
d. Market-Down
a) Accumulation Phase : During the accumulation period, typically following a downtrend, smart money enters the market without significantly affecting the pricing trend.
b) Market-Up Phase : In this phase, the price of an asset moves upward from the accumulation range and begins to rise. Usually, the buying by retail investors is the main driver of this trend, and due to positive market sentiment, it continues.
c) Distribution Phase : The distribution phase, unlike the accumulation stage, occurs after an uptrend. In this phase, smart money attempts to exit the market without causing significant price fluctuations.
d) Market-Down Phase : In this stage, the price of an asset moves downward from the distribution phase, initiating a prolonged downtrend. Smart money liquidates all its positions by creating selling pressure, trapping latecomer investors.
The result of these four phases in the market becomes the market trend.
Types of Trends in Financial Markets :
a. Up-Trend
b. Down Trend
c. Range (No Trend)
a) Up-Trend : The market breaks consecutive highs.
b) Down Trend : The market breaks consecutive lows.
c) No Trend or Range : The market oscillates within a range without breaking either highs or lows.
🟣 Change of Character (ChoCh)
The "ChoCh" or "Change of Character" pattern indicates an initial change in order flow in financial markets. This structural change occurs when a major pivot in the opposite direction of the market trend fails. It signals a potential change in the market trend and can serve as a signal for short-term or long-term trend changes in a trading symbol.
🟣 Break of Structure (BoS)
The "BoS" or "Break of Structure" pattern indicates the continuation of the trend in financial markets. This structure forms when, in an uptrend, the price breaks its ceiling or, in a downtrend, the price breaks its floor.
🟣 Order Blocks (Supply and Demand)
Order blocks consist of supply and demand areas where the likelihood of price reversal is higher. There are six order blocks in this indicator, categorized based on their origin and formation reasons.
a. Demand Main Zone, "ChoCh" Origin.
b. Demand Sub Zone, "ChoCh" Origin.
c. Demand All Zone, "BoS" Origin.
d. Supply Main Zone, "ChoCh" Origin.
e. Supply Sub Zone, "ChoCh" Origin.
f. Supply All Zone, "BoS" Origin.
🟣 FVG | Inefficiency | Imbalance
These three terms are almost synonymous. They describe the presence of gaps between consecutive candle shadows. This inefficiency occurs when the market moves rapidly. Primarily, imbalances and these rapid movements stem from the entry of smart money and the imbalance between buyer and seller power. Therefore, identifying these movements is crucial for traders.
These areas are significant because prices often return to fill these gaps or even before they occur to fill price gaps.
🟣 Liquidity
Liquidity zones are areas where there is a likelihood of congestion of stop-loss orders. Liquidity is considered the driving force of the entire market, and market makers may manipulate the market using these zones. However, in many cases, this does not happen because there is insufficient liquidity in some areas.
Types of Liquidity in Financial Markets :
a. Trend Lines
b. Double Tops | Double Bottoms
c. Triple Tops | Triple Bottoms
d. Support Lines | Resistance Lines
All four types of liquidity in this indicator are automatically identified.
🟣 Premium and Discount
Premium and discount zones can assist traders in making better decisions. For instance, they may sell positions in expensive ranges and buy in cheaper ranges. The closer the price is to the major resistance, the more expensive it is, and the closer it is to the major support, the cheaper it is.
🔵 How to Use
🟣 Change of Character (ChoCh) and Break of Structure (BoS)
This indicator detects "ChoCh" and "BoS" in both Minor and Major states. You can turn on the display of these lines by referring to the last part of the settings.
🟣 Order Blocks (Supply and Demand)
Order blocks are Zones where the probability of price reversal is higher. In demand Zones you can buy opportunities and in supply Zones you can check sell opportunities.
The "Refinement" feature allows you to adjust the width of the order block according to your strategy. There are two modes, "Aggressive" and "Defensive," in the "Order Block Refine". The difference between "Aggressive" and "Defensive" lies in the width of the order block.
For risk-averse traders, the "Defensive" mode is suitable as it provides a lower loss limit and a greater reward-to-risk ratio. For risk-taking traders, the "Aggressive" mode is more appropriate. These traders prefer to enter trades at higher prices, and this mode, which has a wider order block width, is more suitable for this group of individuals.
🟣 Fair Value Gap (FVG) | Imbalance (IMB) | Inefficiency (IFC)
In order to identify the "fair value gap" on the chart, it must be analyzed candle by candle. In this process, it is important to pay attention to candles with a large size, and a candle and a candle should be examined before that.
Candles before and after this central candle should have long shadows and their bodies should not overlap with the central candle body. The distance between the shadows of the first and third candles is known as the FVG range.
These areas work in two ways :
• Supply and demand area : In this case, the price reacts to these areas and the trend is reversed.
• Liquidity zone : In this scenario, the price "fills" the zone and then reaches the order block.
Important note : In most cases, the FVG zone of very small width acts as a supply and demand zone, while the zone of significant width acts as a liquidity zone and absorbs price.
When the FVG filter is activated, the FVG regions are filtered based on the specified algorithm.
FVG filter types include the following :
1. Very Aggressive Mode : In addition to the initial condition, an additional condition is considered. For bullish FVG, the maximum price of the last candle must be greater than the maximum price of the middle candle.
Similarly, for a bearish FVG, the minimum price of the last candle must be lower than the minimum price of the middle candle. This mode removes the minimum number of FVGs.
2. Aggressive : In addition to the very aggressive condition, the size of the middle candle is also considered. The size of the center candle should not be small and therefore more FVGs are removed in this case.
3. Defensive : In addition to the conditions of the very aggressive mode, this mode also considers the size of the middle pile, which should be relatively large and make up the majority of the body.
Also, to identify bullish FVGs, the second and third candles must be positive, while for bearish FVGs, the second and third candles must be negative. This mode filters out a significant number of FVGs and keeps only those of good quality.
4. Very Defensive : In addition to the conditions of the defensive mode, in this mode the first and third candles should not be very small-bodied doji candles. This mode filters out most FVGs and only the best quality ones remain.
🟣 Liquidity
These levels are where traders intend to exit their trades. "Market makers" or smart money usually accumulate or distribute their trading positions near these levels, where many retail traders have placed their "stop loss" orders. When liquidity is collected from these losses, the price often reverses.
A "Stop hunt" is a move designed to offset liquidity generated by established stop losses. Banks often use major news events to trigger stop hunts and capture liquidity released into the market. For example, if they intend to execute heavy buy orders, they encourage others to sell through stop-hots.
Consequently, if there is liquidity in the market before reaching the order block area, the validity of that order block is higher. Conversely, if the liquidity is close to the order block, that is, the price reaches the order block before reaching the liquidity limit, the validity of that order block is lower.
🟣 Alert
With the new alert functionality in this indicator, you won't miss any important trading signals. Alerts are activated when the price hits the last order block.
1. It is possible to set alerts for each "symbol" and "time frame". The system will automatically detect both and include them in the warning message.
2. Each alert provides the exact date and time it was triggered. This helps you measure the timeliness of the signal and evaluate its relevance.
3. Alerts include target order block price ranges. The "Proximal" level represents the initial price level strike, while the "Distal" level represents the maximum price gap in the block. These details are included in the warning message.
4. You can customize the alert name through the "Alert Name" entry.
5. Create custom messages for "long" and "short" alerts to be sent with notifications.
🔵 Setting
a. Pivot Period of Order Blocks Detector :
Using this parameter, you can set the zigzag period that is formed based on the pivots.
b. Order Blocks Validity Period (Bar) :
You can set the validity period of each Order Block based on the number of candles that have passed since the origin of the Order Block.
c. Demand Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Main Zone, "ChoCh" Origin.
d. Demand Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Demand Sub Zone, "ChoCh" Origin.
e. Demand All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Demand All Zone, "BoS" Origin.
f. Supply Main Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Main Zone, "ChoCh" Origin.
g. Supply Sub Zone, "ChoCh" Origin :
You can control the display or not display as well as the color of Supply Sub Zone, "ChoCh" Origin.
h. Supply All Zone, "BoS" Origin :
You can control the display or not display as well as the color of Supply All Zone, "BoS" Origin.
i. Refine Demand Main : You can choose to be refined or not and also the type of refining.
j. Refine Demand Sub : You can choose to be refined or not and also the type of refining.
k. Refine Demand BoS : You can choose to be refined or not and also the type of refining.
l. Refine Supply Main : You can choose to be refined or not and also the type of refining.
m. Refine Supply Sub : You can choose to be refined or not and also the type of refining.
n. Refine Supply BoS : You can choose to be refined or not and also the type of refining.
o. Show Demand FVG : You can choose to show or not show Demand FVG.
p. Show Supply FVG : You can choose to show or not show Supply FVG
q. FVG Filter : You can choose whether FVG is filtered or not. Also specify the type of filter you want to use.
r. Show Statics High Liquidity Line : Show or not show Statics High Liquidity Line.
s. Show Statics Low Liquidity Line : Show or not show Statics Low Liquidity Line.
t. Show Dynamics High Liquidity Line : Show or not show Dynamics High Liquidity Line.
u. Show Dynamics Low Liquidity Line : Show or not show Dynamics Low Liquidity Line.
v. Statics Period Pivot :
Using this parameter, you can set the Swing period that is formed based on Static Liquidity Lines.
w. Dynamics Period Pivot :
Using this parameter, you can set the Swing period that is formed based Dynamics Liquidity Lines.
x. Statics Liquidity Line Sensitivity :
is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
y. Dynamics Liquidity Line Sensitivity :
is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
z. Alerts Name : You can customize the alert name using this input and set it to your desired name.
aa. Alert Demand Main Mitigation :
If you want to receive the alert about Demand Main 's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
bb. Alert Demand Sub Mitigation :
If you want to receive the alert about Demand Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
cc. Alert Demand BoS Mitigation :
If you want to receive the alert about Demand BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
dd. Alert Supply Main Mitigation :
If you want to receive the alert about Supply Main's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ee. Alert Supply Sub Mitigation :
If you want to receive the alert about Supply Sub's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
ff. Alert Supply BoS Mitigation :
If you want to receive the alert about Supply BoS's mitigation after setting the alerts, leave this tick on. Otherwise, turn it off.
gg. Message Frequency :
This parameter, represented as a string, determines the frequency of announcements. Options include: 'All' (triggers the alert every time the function is called), 'Once Per Bar' (triggers the alert only on the first call within the bar), and 'Once Per Bar Close' (activates the alert only during the final script execution of the real-time bar upon closure). The default setting is 'Once per Bar'.
hh. Show Alert time by Time Zone :
The date, hour, and minute displayed in alert messages can be configured to reflect any chosen time zone. For instance, if you prefer London time, you should input 'UTC+1'. By default, this input is configured to the 'UTC' time zone.
ii. Display More Info : The 'Display More Info' option provides details regarding the price range of the order blocks (Zone Price), along with the date, hour, and minute. If you prefer not to include this information in the alert message, you should set it to 'Off'.
You also have access to display or not to display, choose the Style and Color of all the lines below :
a. Major Bullish "BoS" Lines
b. Major Bearish "BoS" Lines
c. Minor Bullish "BoS" Lines
d. Minor Bearish "BoS" Lines
e. Major Bullish "ChoCh" Lines
f. Major Bearish "ChoCh" Lines
g. Minor Bullish "ChoCh" Lines
h. Minor Bearish "ChoCh" Lines
i. Last Major Support Line
j. Last Major Resistance Line
k. Last Minor Support Line
l. Last Minor Resistance Line
ICT Concept [TradingFinder] Order Block | FVG | Liquidity Sweeps🔵 Introduction
The "ICT" style is one of the subsets of "Price Action" technical analysis. ICT is a method created by "Michael Huddleston", a professional forex trader and experienced mentor. The acronym ICT stands for "Inner Circle Trader".
The main objective of the ICT trading strategy is to combine "Price Action" and the concept of "Smart Money" to identify optimal entry points into trades. However, finding suitable entry points is not the only strength of this approach. With the ICT style, traders can better understand price behavior and adapt their trading approach to market structure accordingly.
Numerous concepts are discussed in this style, but the key practical concepts for trading in financial markets include "Order Block," "Liquidity," and "FVG".
🔵 How to Use
🟣Order Block
Order blocks are a specific type of "Supply and Demand" zones formed when a series of orders are placed in a block. These orders could be created by banks or other major players. Banks typically execute large orders in blocks during their trading sessions. If they were to enter the market directly with a small quantity, significant price movements would occur before the orders are fully executed, resulting in less profit. To avoid this, they divide their orders into smaller, manageable positions. Traders should look for "buy" opportunities in "demand order blocks" areas and "sell" opportunities in "supply order blocks".
🟣Liquidity
These levels are where traders aim to exit their trades. "Market Makers" or smart money usually collects or distributes their trading positions near levels where many retail traders have placed their "Stop Loss" orders. When the liquidity resulting from these losses is collected, the price often reverses direction.
A "Stop Hunt" is a move designed to neutralize liquidity generated by triggered stop losses. Banks often use significant news events to trigger stop hunts and acquire the liquidity released in the market. If, for example, they intend to execute heavy buy orders, they encourage others to sell through stop hunts.
As a result, if there is liquidity in the market before reaching the order block region, the credibility of that order block is higher. Conversely, if liquidity is near the order block, meaning the price reaches the order block before reaching the liquidity area, the credibility of that order block is lower.
🟣FVG (Fair Value Gap)
To identify the "Fair Value Gap" on the chart, one must analyze candle by candle. Focus on candles with large bodies, examining one candle and the one before it. The candles before and after this central candle should have long shadows, and their bodies should not overlap with the body of the central candle. The distance between the shadows of the first and third candles is called the FVG range.
These zone function in two ways :
•Supply and Demand zone: In this case, the price reacts to these zone, and its trend reverses.
•Liquidity zone: In this scenario, the price "fills" the zone and then reaches the order block.
Important Note: In most cases, FVG zone with very small width act as supply and demand zone, while zone with a significant width act as liquidity zone, absorbing the price.
🔵 Setting
🟣Order Block
Refine Order Block : When the option for refining order blocks is Off, the supply and demand zones encompass the entire length of the order block (from Low to High) in their standard state and remain unaltered. On the option for refining order blocks triggers the improvement of supply and demand zones using the error correction algorithm.
Refine Type : The enhancement of order blocks via the error correction algorithm can be executed through two methods: Defensive and Aggressive. In the Aggressive approach, the widest possible range is taken into account for order blocks.
Show High Levels : If major high levels are to be displayed, set the option for showing high level to Yes.
Show Low Levels : If major low levels are to be displayed, set the option for showing low level to Yes.
Show Last Support : If showing the last support is desired, set the option for showing last support to Yes.
Show Last Resistance : If showing the last resistance is desired, set the option for showing last resistance to Yes.
🟣 FVG
FVG Filter : When FVG filtering is activated, the number of FVG areas undergoes filtration based on the specified algorithm.
FVG Filter Types :
1. Very Aggressive : Apart from the initial condition, an additional condition is introduced. For an upward FVG, the maximum price of the last candle should exceed the maximum price of the middle candle. Similarly, for a downward FVG, the minimum price of the last candle should be lower than the minimum price of the middle candle. This mode eliminates a minimal number of FVGs.
2. Aggressive : In addition to the conditions of the Very Aggressive mode, this mode considers the size of the middle candle; it should not be small. Consequently, a larger number of FVGs are eliminated in this mode.
3. Defensive : Alongside the conditions of the Very Aggressive mode, this mode takes into account the size of the middle candle, which should be relatively large with the majority of it comprising the body. Furthermore, to identify upward FVGs, the second and third candles must be positive, whereas for downward FVGs, the second and third candles must be negative. This mode filters out a considerable number of FVGs, retaining only those of suitable quality.
4. Very Defensive : In addition to the conditions of the Defensive mode, the first and third candles should not be very small-bodied doji candles. This mode filters out the majority of FVGs, leaving only the highest quality ones. Show Demand FVG: Enables the display of demand-related boxes, which can be toggled between off and on. Show Supply FVG: Enables the display of supply-related boxes along the path, which can also be toggled between off and on.
🟣 Liquidity
Statics Liquidity Line Sensitivity : A value ranging from 0 to 0.4. Increasing this value reduces the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of identified lines. The default value is 0.3.
Dynamics Liquidity Line Sensitivity : A value ranging from 0.4 to 1.95. Increasing this value enhances the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of identified lines. The default value is 1.
Statics Period Pivot : Default value is set to 8. By adjusting this value, you can specify the period for static liquidity line pivots.
Dynamics Period Pivot : Default value is set to 3. By adjusting this value, you can specify the period for dynamic liquidity line pivots.
You can activate or deactivate liquidity lines as necessary using the buttons labeled "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line".
