XAUMO LiquiZone — Absorption & Rejection (MTF, VSA)XAUMO LiquiZone — Absorption & Rejection (MTF, VSA)
Free & open-source (MPL-2.0). Educational use only.
WHAT IT DOES
LiquiZone detects liquidity absorption & distribution zones using wick/volume anatomy and simple pivot structure, then plots them for both Higher Time Frame (HTF) and Lower Time Frame (LTF). An optional HTF Extension Engine projects selected historical HTF zones to the right (nearest or N zones above/below the current price) so you can track “institutional memory” into the live session.
HOW IT WORKS (LOGIC)
• Absorption rules (VSA-style): long wick on one side, volume > SMA(volume) × multiplier, and a small/controlled body vs full range.
• Structure: zones are anchored on local pivot highs/lows (left/right bars).
• HTF vs LTF: HTF signals are computed via request.security() on the timeframe you choose; LTF uses the chart timeframe.
• Extension Engine: choose Bullish / Bearish / Both, Nearest Only or By Up/Down Count, custom colors, with safe forward limits to respect Pine’s x-distance constraints.
RECOMMENDED SETUP (BEST FOR XAUUSD 15m TF)
• Chart timeframe: 15m
• HTF timeframe: 30m
• Volume MA length: 20
• Min wick % of range: 0.30
• Volume over MA ×: 1.5
• Pivot Left/Right: 2 / 2
• Zone look-ahead bars: 500
• HTF Extension: Enabled
– Extension length: 500 bars
– Selection mode: By Up/Down Count
– Zones Above (Up): 1
– Zones Below (Down): 2
– Extension color(s): purple tint (opacity ~80) for both bull/bear
• Style: separate colors/opacity for HTF/LTF bull & bear zones (fully user-configurable)
INPUTS (KEY SETTINGS)
• HTF timeframe (default 30m), Volume MA length, Wick % threshold, Volume multiplier, Pivot L/R, Zone look-ahead bars (default 500).
• Zone Style: independent colors & opacities for HTF/LTF bull & bear zones.
• HTF Extension: enable toggle, extension length, side filter, selection mode, counts up/down, and custom colors for extended HTF zones.
NOTES / BEST PRACTICE
• Use HTF zones for context and LTF zones for execution.
• Combine with volume profile (POC/VAL/VAH), VWAP, delta/tape tools for confirmation.
• Uses pivots (confirmed after Pivot Right bars); this is a visualization/education tool, not a signal generator.
LICENSE & DISCLAIMER
• License: Mozilla Public License 2.0 (MPL-2.0).
• Educational purpose only. No financial advice. You are fully responsible for your own trading decisions.
FRAUD / SCAM WARNING
• This script is free and open-source. No one is authorized to sell it, rent it, or ask you for money, DMs, or “account management.”
• If someone impersonates the author or offers paid access, treat it as fraud/scam and report via TradingView.
CHANGELOG v1.0
• Initial public release: HTF/LTF absorption zones + HTF Extension Engine + full styling controls.
Liquidity
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector
Version: PineScript™v6
📌 Description
The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps.
Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart.
🚀 Points of Innovation
Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification
Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception
Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements
Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization
Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility
Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup
🔧 Core Components
Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions
Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe
Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars
3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations
Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring
🔥 Key Features
Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded
Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type
Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection
Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold
Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter
Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics
Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached
Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window
🎨 Visualization
Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance
Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation
Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes
Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency)
Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise
Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time
Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference
📖 Usage Guidelines
Detection Settings
Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100.
Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection.
Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions.
Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon.
Visual Settings
Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility.
High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color.
Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart.
Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems.
✅ Best Use Cases
Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones
Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support
Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids
Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance
Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas
Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities
⚠️ Limitations
Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur
No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy
Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins
Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently
Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others
No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection
Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed
💡 What Makes This Unique
Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality
Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss
Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter
ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration
Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy
Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization
🔬 How It Works
Phase 1: Real-Time Detection
On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier
Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter
If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics
Phase 2: Void Tracking & Qualification
When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator
Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores
When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets
Phase 3: 3D Visualization Construction
Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength)
Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR
Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones
Creates optional center label and pushes all visual elements into arrays for memory management
Phase 4: Memory Management & Display
Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift()
Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history
Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart
💡 Note:
This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Global M2 ex-China MonitorGlobal M2 Monitor - Ultimate Edition
🎯 OVERVIEW
Advanced global M2 money supply monitoring indicator, offering a unique macroeconomic view of global liquidity. Real-time tracking of M2 evolution in major developed economies.
📊 KEY FEATURES
Global M2 Aggregation : USA, Japan, Canada, Eurozone, United Kingdom
Currency Conversion : All data converted to USD for consistent analysis
High Resolution Display : Daily curve by default
Technical Analysis : 50-period moving average (SMA/EMA/WMA)
Accurate YoY Calculation : Annual variation based on monthly data
Advanced Signal System : Multi-condition color codes
🎨 COLOR SYSTEM - DEFAULT SETTINGS
🟢 GREEN : YoY ≥ 7% AND M2 ≥ SMA → Strong growth + Bullish momentum
🔴 RED : YoY ≤ 2% AND M2 ≤ SMA → Weak growth + Bearish momentum
🟢 LIGHT GREEN : YoY ≥ 7% BUT M2 < SMA → Good fundamentals, temporarily weak momentum
🔴 LIGHT RED : YoY ≤ 2% BUT M2 > SMA → Weak fundamentals, price still supported
🔵 BLUE : YoY between 2% and 7% → Neutral zone of moderate growth
🇨🇳 WHY IS CHINA EXCLUDED BY DEFAULT?
Chinese M2 data presents methodological reliability and transparency issues. Exclusion allows for more consistent analysis of mature market economies.
Different M2 definition vs Western standards
Capital controls affecting real convertibility
Frequent monetary manipulations by authorities
✅ Available option : Can be activated in settings
⚙️ OPTIMIZED DEFAULT PARAMETERS
// DISPLAY SETTINGS
Candle Period: D (Daily)
// MOVING AVERAGE
MA Period: 50, Type: SMA
// BACKGROUND LOGIC
YoY Bullish: 7%, YoY Bearish: 2%
SMA Method: absolute, Threshold: 0.2%
// COLORS
Transparency: 5%
China M2: Disabled
📈 RECOMMENDED USAGE
Traders : Anticipate sector rotations
Investors : Identify abundant/restricted liquidity phases
Macro-analysts : Monitor monetary policy impacts
Portfolio managers : Understand inflationary pressures
🔍 ADVANCED INTERPRETATION
M2 ↗️ + YoY ≥ 7% → Favorable risk-on environment
M2 ↘️ + YoY ≤ 2% → Defensive risk-off environment
Divergences → Early warning signals for trend changes
💡 WHY THIS INDICATOR?
Global money supply is the lifeblood of the financial economy . Its growth or contraction typically precedes market movements by 6 to 12 months.
"Don't fight the Fed... nor the world's central banks"
🛠️ ADVANCED CUSTOMIZATION
All parameters are customizable:
YoY bullish/bearish thresholds
SMA comparison method (absolute/percentage)
Colors and transparency
Moving average period and type
Optional China inclusion
📋 TECHNICAL INFORMATION
YoY Calculation : Based on monthly data for consistency
Sources : FRED, ECONOMICS, official data
Updates : Real-time with publications
Currencies : Updated exchange rates
Liquidity & inducementsHi all!
This indicator will show liquidity and inducements.
I will continue to try to add different types of liquidity and inducements, at this moment it contains 6 kinds of liquidity/inducement, they are:
• Grabs
• Big grabs
• Sweeps
• Turtle soups
• Equal highs/lows (liquidity and inducement)
• BSL & SSL
And 1 type of inducement:
• Retracement
This description will contain indicator examples of each individual liquidity and inducement. They will all be with the default settings.
Settings
First you will find settings for the market structure (BOS/CHoCH/CHoCH+). Select left and right pivot lengths and if the pivots should have a label or not.
This is the base foundation of this indicator and is possible with my library 'PriceAction' ().
You will see solid lines for break of structures (BOS), change of characters (CHoCH) and change of character plus (CHoCH+).
The pivots found will be the core of this indicator and will show you when the closing price breaks it. When that happens a break of structure (BOS) or a change of character (CHoCH or CHoCH+) will be created. The latest 5 pivots found within the current trend will be kept to take action on.
A break of structure is removed if an earlier pivot within the same trend is broken and the pivot's high price for a bullish trend or low price for a bearish trend is more extreme than the BOS pivot's price.
You are able to show the pivots that are used. "HH" (higher high), "HL" (higher low), "LH" (lower high), "LL" (lower low) and "H"/"L" (for pivots (high/low) when the trend has changed) are the labels used.
In the next section ('Liquidity ($$$)') you can select which types of liquidity you want to see. Note that 'Equal highs/lows' can also show inducement (more on that later).
In the section afterwards ('Inducement (IDM)') you can select if you want retracement inducements to be visible or not. More information on what they are later on.
The section for each individual liquidity and/or inducement can first contain a line named 'Pivot', where you can set the pivot lengths (first left, then right). Then you can set the 'Lookback', which means that the 'Lookback' number of past pivots is to take action on. After that you set the 'Timeframe' for the pivots used. That means that all available liquidity/inducements will be from your desired timeframe. Lastly you set the color of the liquidity/inducement (either a single color or bullish followed by bearish colors).
Lastly in the settings you can select the font sizes for the market structure and liquidity/inducements and what style liquidity/inducements lines will have. The sizes defaults to 7 and has a dotted line look.
Grabs
Liquidity grabs and liquidity sweeps are very similar. It all depends on if the current bar closed above/below the liquidity pivot and on if its a continuation or reversal. In a liquidity grab the bar that's above or below the liquidity pivot was not closed above or below it. Like this:
Or
The visual feedback will be a dotted line between the liquidity pivot and liquidity grab bar and a linefill between the high of the liquidity grab bar and the liquidity pivot.
Indicator example:
Big grabs
This is another 'grabs' option. You can show an additional grab if you want to. I suggest having this grab from a higher timeframe or with larger pivot lengths than the other grab.
The default is with the chart timeframe and 10/10 as pivot lengths.
Indicator example:
Sweeps
A liquidity sweep is like a liquidity grab but with the difference that price closes above/below and has a continuation instead of a reversal. If the liquidity pivot was at the same bar as a BOS/CHoCH/CHoCH+ it will not be a liquidity grab but a structural break instead.
They can look like this:
Indicator example;
Turtle soups
If only one candle is beyond the pivot it could be a liquidity grab. It's a grab if price didn't close beyond the liquidity pivot, if so it's invaliditet. Turtle soups are basically false breakouts that takes liquidity (is a false breakout from a pivot with the lengths and timeframe from the settings).
The turtle soup can have a confirmation in the terms of a change of character (CHoCH). You can enable this in the settings section for 'Turtle soups' through the 'Confirmation' checkbox (enabled by default). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD).
The addition of turtle soups is possible through my script 'Turtle soup' ().
The drawing will be a dotted line between the liquidity pivot and the last bar of the false breakout and a box from the start of the false breakout to the end of it.
Indicator example:
Equal highs/lows
Equal highs/lows will always show liquidity, but might also show inducement. Inducement will be shown on equal lows if the trend is bullish and on equal highs if it's bearish, like this:
Or
Equal highs can only be created if the second pivot is lower than the first one. Equal lows can only be created if the second pivot is higher than the first one. If that is not the case it could be a liquidity grab.
When equal highs or equal lows are find that produces inducement (equal lows in a bullish trend and equal highs in a bearish trend), the indicator will first display inducement and will show liquidity once traders are induced to enter the security. Stop loss placement, for liquidity, is 0.1 * the average true range (ATR, of length 14). They will look like this:
Only inducement:
Inducement and liquidity:
Indicator example:
Equal highs/lows inducements can not be triggered after a BOS/CHoCH/CHoCH+. They are cleared upon a structural break.
BSL & SSL
Buyside liquidity (BSL) and sellside liquidity (SSL) will be shown. A pivot that's been mitigated (touched by price) can never be BSL or SSL. The BSL/SSL available will be dynamic while price moves (work in Replay and lower timeframes that moves fast) and pick the latest pivot/s (with left and right lengths from the 'Market structure' section). You can define how many BSL/SSL you want to see with a default value of 1, meaning only 1 BSL and 1 SSL can be shown. If there is no unmitigated high (BSL) or low (SSL), no BSL/SSL will be available to show. If there are BSL/SSL available they're very useful to use as targets for entering a trade.
The will look like this when available;
And without BSL available:
Or
And without SSL available:
Note that the examples without BSL/SSL available could have liquidity available from previous price legs.
This can be an example of a BSL/SSL sequence:
First both buyside and sellside liquidity is available:
Then a new low appears and new sellside liquidity is available:
Then buyside liquidity is mitigated, so only sellside liquidity is available:
A new high pivot appears and buyside liquidity is available again:
Lastly a bearish CHoCH happens and sellside liquidity is mitigated, only buyside liquidity is available:
Retracement
The first retracement after a BOS/CHoCH/CHoCH+ is considered an inducement with the mission to get traders into a trade prematurely to get stopped out. This level is shown and look like this:
Or
A retracement inducement is removed when a new BOS/CHoCH/CHoCH+ appears and it's not triggered.
---------------------------
As of now there aren't any alerts available. You cannot use the Pine Screener from Tradingview either to see new liquidity/inducement events. I have this planned for future updates though.
I hope that this long description makes sense, let me know otherwise! Also let me know if you experience any bugs or have a feature request or just want to share good settings to use.
Best of trading luck!
Sessions High & Low LevelsAutomatically plots high & low levels for multiple sessions. Clear session structure for intraday traders using price action, liquidity concepts, or session-based strategies.
Automatically plots the High & Low, for sessions such as London, New York, and Asia, with full customization for any custom session or timezone. These levels extend forward and adapt in real time, giving you a clear view of session-based structure and liquidity behavior.
Perfect for traders using ICT concepts, session narratives, or intraday market structure. Session ranges often act as key liquidity pools, breakout zones, and directional guides, this tool makes them easy to see at a glance.
Features:
Auto-plots High & Low for NY, London, and Asia sessions (customizable)
Fully customizable session times, colors, labels, and visibility options
Works across any assets
POC Volume Bar (Highest Volume in Range)What the highlighted POC bar means
🔶 1. Institutional interest
A POC often identifies where big money stepped in.
🔶 2. Support or resistance pivot
Large volume often signals:
• A reversal
• A breakout
• Or the beginning of a trend
🔶 3. Liquidity magnet
Price tends to revisit high-volume bars.
They act like magnets.
🔶 4. Trend confirmation or exhaustion
High volume on:
• Green candle → bullish participation
• Red candle → distribution / aggressive selling
ICT Sessions Ranges [SwissAlgo]ICT Session Ranges - ICT Liquidity Zones & Market Structure
OVERVIEW
This indicator identifies and visualizes key intraday trading sessions and liquidity zones based on Inner Circle Trader (ICT) methodology (AM, NY Lunch Raid, PM Session, London Raid). It tracks 'higher high' and 'lower low' price levels during specific time periods that may represent areas where market participants have placed orders (liquidity).
PURPOSE
The indicator helps traders observe:
Session-based price ranges during different market hours
Opening range gaps between market close and next day's open
Potential areas where liquidity may be concentrated and trigger price action
SESSIONS TRACKED
1. London Session (02:00-05:00 ET): Tracks price range during early London trading hours
2. AM Session (09:30-12:00 ET): Tracks price range during the morning New York session
3. NY Lunch Session (12:00-13:30 ET): Tracks price range during typical low-volume lunch period
4. PM Session (13:30-16:00 ET): Tracks price range during the afternoon New York session
CALCULATIONS
Session High/Low: The highest high and lowest low recorded during each active session period
Opening Range Gap: Calculated as the difference between the previous day's 16:00 close and the current day's 09:30 open
Gap Mitigation: A gap is considered mitigated when the price reaches 50% of the gap range
All times are based on America/New_York timezone (ET)
BACKGROUND INDICATORS
NY Trading Hours (09:30-16:00 ET): Optional gray background overlay
Asian Session (20:00-23:59 ET): Optional purple background overlay
VISUAL ELEMENTS
Horizontal lines mark session highs and lows
Subtle background boxes highlight each session range
Labels identify each session type
Orange shaded boxes indicate unmitigated opening range gaps
Dotted line at 50% gap level shows mitigation threshold
FEATURES
Toggle visibility for each session independently
Customizable colors for each session type
Automatic removal of mitigated gaps
All drawing objects use transparent backgrounds for chart clarity
ICT CONCEPTS
This tool relates to concepts discussed by Inner Circle Trader regarding liquidity pools, session-based analysis, and gap theory. The indicator assumes that session highs and lows may represent areas where liquidity is concentrated, and that opening range gaps may attract price until mitigated.
USAGE NOTES
Best used on intraday timeframes (1-15 minute charts)
All sessions are calculated based on actual price movement during specified time periods
Historical session data is preserved as new sessions develop
Gap detection only triggers at 09:30 ET market open
DISCLAIMER
This indicator is for educational and informational purposes only. It displays historical price levels and time-based calculations. Past performance of price levels is not indicative of future results. The identification of "liquidity zones" is a theoretical concept and does not guarantee that orders exist at these levels or that prices will react to them. Trading involves substantial risk of loss. Users should conduct their own analysis and risk assessment before making any trading decisions.
TIME ZONE
Set your timezone to: America/New_York (UTC-5)
Liquidity + Order-Flow Exhaustion (Smart-Money Logic)Liquidity + Order-Flow Exhaustion (Smart-Money Logic) is a visual tool that helps traders recognize where big market participants (“smart money”) are likely accumulating or distributing positions.
It identifies liquidity sweeps (stop-hunts above or below previous swing levels) and market structure shifts (reversals confirmed by price closing back in the opposite direction).
In simple terms, it shows where price “tricks” retail traders into chasing breakouts — right before reversing.
How it works:
The script scans recent highs and lows to find when price breaks them and quickly rejects — a sign of stop-hunts or liquidity grabs.
It then checks for a close back inside the previous range to confirm a possible Market Structure Shift (MSS).
When this happens, the chart highlights the zone and optionally adds directional labels (🔹 or 🔸) to mark where the liquidity event occurred.
How to read the signals:
🟢 Bullish shift — Price takes out a previous low, then closes higher. This often marks the end of a short-term down-move.
🔴 Bearish shift — Price sweeps a previous high, then closes lower. This often marks the end of a short-term rally.
Colored backgrounds and labels help visualize these key reversals directly on the chart.
How to use it:
Apply to any timeframe; 15-minute to 4-hour charts work best.
Use it to confirm reversals near major swing points or liquidity zones.
Combine with volume spikes, displacement candles, or Fair-Value Gaps (FVGs) for stronger confirmation.
What makes it original:
Simple, self-contained logic inspired by Smart Money Concepts (SMC).
Automatically detects both liquidity sweeps and the subsequent structural shift.
Visual and alert-ready design — perfect for discretionary or algorithmic strategies.
Tip: For even better accuracy, align detected shifts with higher-timeframe bias or VWAP deviations.
Liquidation Reversal Signals [AlgoAlpha]🟠 OVERVIEW
This tool detects potential liquidation-driven reversals by combining z-score analysis of up/down volume with the classic Supertrend. It watches for abnormal surges in directional volume (on a lower timeframe) and links them to trend flips on the main chart. When both align within a short window, it flags a probable reversal caused by forced liquidations. The goal is to help traders identify exhaustion points where aggressive liquidation moves may mark the end of a trend leg.
🟠 CONCEPTS
The logic revolves around Z-score normalization of up and down volume to locate statistical extremes. When up-volume z-scores exceed a threshold during a bearish Supertrend, it implies trapped shorts being squeezed; the opposite applies for long liquidations. The script tracks these liquidation spikes and monitors whether a Supertrend regime change follows soon after. If confirmed within the allowed timeout, a colored signal marks the event.
In essence:
Z-score outliers = potential forced liquidations.
Supertrend = structural regime context.
Combined = statistically confirmed reversal signals, not random flips.
This pairing reduces false positives by ensuring that both volatility structure and order-flow extremes agree before flagging a reversal.
🟠 FEATURES
Z-score detection for liquidation spikes with adjustable lookback and threshold.
Confirmation logic linking liquidations to Supertrend flips.
Alerts for liquidation spikes and confirmed reversal starts.
On-chart “No Volume” warning to avoid misreads on illiquid assets.
🟠 USAGE
Setup : Add the script to your main chart. Choose a lower timeframe (default 15m) to capture more granular liquidation flows. Adjust Z-Score Length to control how far back the script measures normal behavior and Threshold to decide what counts as extreme. Keep Timeout Bars low (e.g. 20–50) for faster reversals, or higher for slower markets.
Read the chart :
• Circles appear below bars when long liquidations occur; above bars for short liquidations.
• A Supertrend flip with a recent liquidation spike will display an arrow and color shift.
• Fills between candles and trend lines show which side dominates: green for bullish reversal, red for bearish.
• Candle color fades based on the magnitude of liquidation pressure.
Settings that matter :
• Z-Score Length : Longer smooths noise but delays signal; shorter reacts faster.
• Z-Score Threshold : Higher means only extreme liquidations trigger; lower finds smaller squeezes.
• Timeout Bars : Defines how long after a liquidation the Supertrend flip remains valid.
• Lower Timeframe : Determines the precision of volume readings; too low may increase noise.
Quantura - Liquidity Sweep & Run LevelsIntroduction
“Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits.
Originality & Value
This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations.
Its originality lies in:
Automatic identification and tracking of swing highs and lows.
Real-time detection of broken levels and liquidity sweeps.
Distinction between “Run” and “Sweep” modes for different market behaviors.
Persistent historical visualization of liquidity levels using clean line structures.
Configurable signal markers for bullish and bearish sweep confirmations.
Functionality & Core Logic
Detects swing highs and lows using a user-defined Swing Length parameter.
Stores and updates all swing levels dynamically with arrays for efficient memory handling.
Draws horizontal lines from each detected swing point to visualize potential liquidity zones.
Monitors when price breaks a swing level and marks that event as “broken.”
Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode.
Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps).
Parameters & Customization
Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations).
Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points.
Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers.
Signals: Enables or disables visual up/down markers for confirmed events.
Visualization & Display
Horizontal lines represent potential liquidity levels (unbroken swing highs/lows).
Once broken, lines automatically stop extending, marking the moment liquidity is taken.
Depending on the selected mode:
“Sweep” mode identifies false breaks or stop-hunt behavior.
“Run” mode highlights breakouts that continue the trend.
Colored arrows indicate the direction and type of liquidity reaction.
Clean, non-intrusive visualization suitable for overlaying on price charts.
Use Cases
Detect liquidity sweeps before major reversals.
Identify breakout continuations after liquidity runs.
Combine with Supply/Demand or FVG indicators for multi-layered confirmation.
Validate liquidity bias in algorithmic or discretionary strategies.
Analyze market manipulation patterns and institutional stop-hunting behavior.
Limitations & Recommendations
This indicator identifies structural behavior but does not guarantee trade direction or profitability.
Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices).
Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters.
Excessively small swing settings may cause over-signaling in volatile markets.
Markets & Timeframes
Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts).
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Liquidity Regime OscillatorThe Liquidity Signal Line is a macro-driven confirmation tool designed to capture the underlying global liquidity regime in a single, smoothed oscillator. It measures the combined directional flow of monetary and financial conditions using high-impact macro data: Federal Reserve assets (WALCL), Treasury General Account (TGA), and the Overnight Reverse Repo facility (RRP) – adjusted by key market proxies such as the U.S. Dollar Index, credit spreads (HYG/LQD), and equity risk appetite (SPHB/SPHQ). These components are normalized, weighted, and then double-smoothed into a stable signal that translates complex liquidity dynamics into a simple 0–100 scale.
Liquidity expansion provides fuel for risk assets, while contraction drains leverage and risk appetite. The Signal Line acts as a confirmation overlay for trend and allocation strategies, showing whether systemic liquidity is broadly supportive or restrictive. Readings above 50 indicate an expansionary environment (risk-on bias), below 50 a contractionary one (risk-off bias). Because the calculation uses higher-timeframe macro data, it can be displayed on any chart to give traders a consistent, regime-aware signal that bridges macro policy and technical execution.
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.
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW
The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned.
Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders.
It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction.
Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious.
🔵 CONCEPTS
Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops).
Market makers & large players often push price into these zones to trigger stops and capture liquidity.
The indicator uses recent volatility + volume expansion to estimate where these pools exist.
Horizontal heat bars show depth and intensity of probable liquidity.
Profile side histogram displays buy-side vs sell-side liquidity distribution.
🔵 FEATURES
Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior.
Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price.
Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation.
Real-Time Heat Coloring
• Lime = liquidity below price (potential buy-side fuel)
• Blue = liquidity above price (potential sell-side fuel)
• Orange = peak liquidity (POC)
Liquidity Profile Histogram — plotted at right side, layered by strength.
Auto-Cleaning Engine — removes invalidated liquidity after breaks.
Adjustable lookback window and bin resolution .
🔵 HOW TO USE
Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps.
Orange POC often acts as magnet — strong target zone for smart money.
Combine with SFP / BOS logic to time reversals after liquidity hunts.
In trend, price repeatedly sweeps opposite-side liquidity before continuation.
Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa.
Great for scalping sessions, indices, FX, BTC, ETH.
🔵 CONCLUSION
The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides.
It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC).
Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy)
Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients.
Summary in one paragraph
A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick.
Scope and intent
Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities.
Timeframes: calculation daily by default, trade on any chart.
Default demo: SPY on Daily.
Purpose: convert broad financial conditions into clear swing bias and exits.
Originality and usefulness
Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates.
Failure mode addressed: false starts in chop and early shorts during easy liquidity.
Testability: all knobs are inputs and the table shows components and weights.
Portable yardstick: z scores center at zero so thresholds transfer across symbols.
Method overview in plain language
Base measures
Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes.
Components
EQ US and EQ GLB measure equity tone.
CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score.
RATES2Y uses two year yield, sign flipped.
SLOPE uses ten minus two year yield spread.
USD uses DXY, sign flipped.
VOL uses VIX, sign flipped.
LIQ uses BIL over SPY, sign flipped.
Each component is smoothed by the composite EMA.
Fusion rule
Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one.
Signal rule
Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor.
Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter.
Long exit on cross down of the long exit line or on a fresh short signal.
Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard.
What you will see on the chart
Markers on suggestion bars: L for long, S for short, LX and SX for exits.
Reference lines at zero and soft regime bands at plus one and minus one.
Optional background gradient by regime intensity.
Compact table with component z, weight percent, and composite readout.
Table fields and quick reading guide
Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ.
Z: current standardized value, green for positive risk tone where applicable.
Weight: contribution percent after normalization.
Composite: current index value.
Reading tip: a broadly green Z column with slope positive often precedes better long context.
Inputs with guidance
Setup
Calc timeframe: default Daily. Leave blank to inherit chart.
Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns.
EMA smoothing: 1 to 200. Higher smooths noise and delays signals.
Normalization
Winsorize z at ±3: caps extremes to reduce one off shocks.
Return window for equities: 5 to 260. Shorter reacts faster.
Weighting
Weight lookback: 20 to 520.
Weight mode: Equal or InvVol.
InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more.
Signals
Trade side: Long Short or Both.
Entry threshold long and short: portable z thresholds.
Exit line long and short: soft exits that give back less.
Slope lookback bars: 1 to 20.
Always long floor bfci ≥ X: macro easy mode keep long.
Force short exit when bfci < Y: macro stress guard.
Confirm
Use price trend filter and Price SMA length.
View
Glow line and Show component table.
Symbols
SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed.
Realism and responsible publication
No performance claims. Past is not future.
Shapes can move intrabar and settle on close.
Execution is on standard candles only.
Honest limitations and failure modes
Major economic releases and illiquid sessions can break assumptions.
Very quiet regimes reduce contrast. Use longer windows or higher thresholds.
Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly.
Strategy notice
Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies.
Entries and exits
Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor.
Short rule: bfci cross below short threshold with negative slope and optional price filter.
Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard.
Position sizing
Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital
Commisions
We used a 0.05% comission and 5 tick slippage
Legal
Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
NFCI National Financial Conditions IndexChicago Fed National Financial Conditions Index (NFCI)
This indicator plots the Chicago Fed’s National Financial Conditions Index (NFCI).
The NFCI updates weekly, and its latest value is displayed across all chart intervals.
The NFCI measures how tight or loose overall U.S. financial conditions are. It combines over 100 weekly indicators from the money, bond, and equity markets—along with credit and leverage data—into a single composite index.
The NFCI has three key subcomponents, each of which can be independently selected within the indicator:
Risk: Captures volatility, credit spreads, and overall market stress.
Credit: Tracks how easy or difficult it is to borrow across households and businesses.
Leverage: Reflects the level of debt and balance-sheet strength in the financial system.
When the NFCI rises, financial conditions are tightening — liquidity is contracting, borrowing costs are climbing, and investors tend to reduce risk.
When the NFCI falls, conditions are loosening — liquidity expands, credit flows more freely, and markets generally become more risk-seeking.
Traders often use the NFCI as a macro backdrop for risk appetite: rising values signal growing stress and defensive positioning, while falling values indicate improving liquidity and a more supportive market environment.
Liquidity Grab + RSI Divergence═══════════════════════════════════════════════════════════════
LIQUIDITY GRAB + RSI DIVERGENCE INDICATOR
═══════════════════════════════════════════════════════════════
📌 OVERVIEW
This indicator identifies high-probability reversals by combining:
• Liquidity sweeps (stop hunts)
• RSI divergence confirmation
• Filters false breakouts automatically
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🟢 BUY SIGNAL (Green Triangle Up)
REQUIRES BOTH CONDITIONS:
1. Liquidity Grab Below Previous Low
• Price breaks BELOW recent low
• Candle CLOSES ABOVE that low
• Traps sellers who shorted the breakdown
2. Bullish RSI Divergence
• Price: Lower Low (LL)
• RSI: Higher Low (HL)
• Shows weakening downward momentum
➜ Result: Potential bullish reversal
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🔴 SELL SIGNAL (Red Triangle Down)
REQUIRES BOTH CONDITIONS:
1. Liquidity Grab Above Previous High
• Price breaks ABOVE recent high
• Candle CLOSES BELOW that high
• Traps buyers who bought the breakout
2. Bearish RSI Divergence
• Price: Higher High (HH)
• RSI: Lower High (LH)
• Shows weakening upward momentum
➜ Result: Potential bearish reversal
═══════════════════════════════════════════════════════════════
📊 VISUAL INDICATORS
Main Signals:
🔺 Large Green Triangle = BUY (Liq Grab + Bullish Div)
🔻 Large Red Triangle = SELL (Liq Grab + Bearish Div)
Reference Levels:
━ Red Line = Previous High Level
━ Green Line = Previous Low Level
Additional Markers (Optional):
○ Small Green Circle = Liquidity grab low only
○ Small Red Circle = Liquidity grab high only
✕ Small Blue Cross = Bullish divergence only
✕ Small Orange Cross = Bearish divergence only
═══════════════════════════════════════════════════════════════
⚙️ SETTINGS
1. Lookback Period (Default: 20)
• Range: 5-100
• Sets how far back to identify previous highs/lows
• Higher = fewer but stronger levels
• Lower = more frequent but weaker levels
2. RSI Length (Default: 14)
• Range: 5-50
• Standard RSI calculation period
• 14 is industry standard
3. RSI Divergence Lookback (Default: 5)
• Range: 3-20
• Controls pivot point sensitivity
• Higher = fewer divergence signals
• Lower = more divergence signals
4. Show Labels (Default: ON)
• Toggle BUY/SELL text labels
• Disable for cleaner chart view
═══════════════════════════════════════════════════════════════
💡 HOW TO USE
Step 1: WAIT FOR CONFIRMATION
• Only trade LARGE TRIANGLE signals
• Ignore small circles/crosses alone
Step 2: CHECK TIMEFRAME
• Best on: 15min, 1H, 4H, Daily
• Avoid: 1min, 5min (too noisy)
Step 3: CONFIRM CONTEXT
• Check overall market trend
• Identify key support/resistance
• Look for confluence with price action
Step 4: ENTRY & RISK MANAGEMENT
• Enter on signal candle close or pullback
• Stop loss below/above the liquidity grab wick
• Target: Previous swing high/low or key levels
• Risk/Reward: Minimum 1:2 ratio
Step 5: SET ALERTS
• Create alert for "BUY Signal"
• Create alert for "SELL Signal"
• Never miss opportunities
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✅ BEST PRACTICES
DO:
✓ Use on multiple timeframes for confluence
✓ Combine with support/resistance zones
✓ Wait for both conditions (liq grab + divergence)
✓ Practice on demo account first
✓ Use proper position sizing
DON'T:
✗ Trade every small circle/cross
✗ Use on very low timeframes (<15min)
✗ Ignore overall market context
✗ Trade without stop loss
✗ Risk more than 1-2% per trade
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⚠️ IMPORTANT NOTES
• This is a CONFIRMATION tool, not a holy grail
• No indicator is 100% accurate
• Combine with your trading strategy
• Backtest on your preferred instruments
• Adjust parameters for your trading style
• Higher timeframes = more reliable signals
• Always use risk management
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🔔 ALERTS INCLUDED
Two alert conditions are built-in:
1. "BUY Signal" - Liquidity Grab + Bullish RSI Divergence
2. "SELL Signal" - Liquidity Grab + Bearish RSI Divergence
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📈 RECOMMENDED SETTINGS BY TIMEFRAME
5-15 Min Charts:
• Lookback: 10-15
• RSI Length: 14
• RSI Div Lookback: 3-5
1H-4H Charts:
• Lookback: 20-30
• RSI Length: 14
• RSI Div Lookback: 5-7
Daily Charts:
• Lookback: 30-50
• RSI Length: 14
• RSI Div Lookback: 7-10
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Good luck and trade safe! 🚀
Previous Period High/Low LevelsThis indicator plots the previous day, week, and month high and low levels to highlight key liquidity levels.
Perfect for traders using market structure, liquidity, or SMC concepts.
Features:
Auto-plots PDH/PDL, PWH/PWL, and PMH/PML
Adjustable line styles, widths, and label sizes
Toggle price display on or off
Accurate UTC offset handling
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by
Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows, key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones.
Perfect for traders using ICT / SMC concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance.
Features:
Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL
Custom line styles, colors, and label sizes
Option to stop line on wick (liquidity sweep)
Smart timeframe visibility (hides same-TF levels)
Accurate UTC offset handling
Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity.
Built for precision, clarity, and confluence.
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily.
The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity.
🔶 USAGE
We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time.
Being able to determine if trading activity is higher or lower than expected allows us to precisely gauge the interest of market participants in specific trends.
A histogram constructed from the difference between the volume and expected volume is provided to easily highlight the difference between the two and may be used as a standalone.
The tool can also help quantify the impact of specific market events, such as news about an instrument. For example, an important announcement leading to volume below expectations might be a sign of market participants underestimating the impact of the announcement.
Like in the example above, it is possible to observe cases where the volume significantly differs from the expected one, which might be interpreted as an anomaly leading to a correction.
🔹 Detecting Rare Trading Activity
Expected volume is defined as the mean (or median if we want to limit the impact of outliers) of the volume grouped at a specific point in time. This value depends on grouping volume based on periods, which can be user-defined.
However, it is possible to adjust the indicator to overestimate/underestimate expected volume, allowing for highlighting excessively high or low volume at specific times.
In order to do this, select "Percentiles" as the summary method, and change the percentiles value to a value that is close to 100 (overestimate expected volume) or to 0 (underestimate expected volume).
In the example above, we are only interested in detecting volume that is excessively high, we use the 95th percentile to do so, effectively highlighting when volume is higher than 95% of the volumes recorded at that time.
🔶 DETAILS
🔹 Choosing the Right Periods
Our expected volume value depends on grouping volume based on periods, which can be user-defined.
For example, if only the hourly period is selected, volumes are grouped by their respective hours. As such, to get the expected volume for the hour 7 PM, we collect and group the historical volumes that occurred at 7 PM and average them to get our expected value at that time.
Users are not limited to selecting a single period, and can group volume using a combination of all the available periods.
Do note that when on lower timeframes, only having higher periods will lead to less precise expected values. Enabling periods that are too low might prevent grouping. Finally, enabling a lot of periods will, on the other hand, lead to a lot of groups, preventing the ability to get effective expected values.
In order to avoid changing periods by navigating across multiple timeframes, an "Auto Selection" setting is provided.
🔹 Group Length
The length setting allows controlling the maximum size of a volume group. Using higher lengths will provide an expected value on more historical data, further highlighting recurring patterns.
🔹 Recommended Assets
Obtaining the expected volume for a specific period (time of the day, day of the week, quarter, etc) is most effective when on assets showing higher signs of periodicity in their trading activity.
This is visible on stocks, futures, and forex pairs, which tend to have a defined, recognizable interval with usually higher trading activity.
Assets such as cryptocurrencies will usually not have a clearly defined periodic trading activity, which lowers the validity of forecasts produced by the tool, as well as any conclusions originating from the volume to expected volume comparisons.
🔶 SETTINGS
Length: Maximum number of records in a volume group for a specific period. Older values are discarded.
Smooth: Period of a SMA used to smooth volume. The smoothing affects the expected value.
🔹 Periods
Auto Selection: Automatically choose a practical combination of periods based on the chart timeframe.
Custom periods can be used if disabling "Auto Selection". Available periods include:
- Minutes
- Hours
- Days (can be: Day of Week, Day of Month, Day of Year)
- Months
- Quarters
🔹 Summary
Method: Method used to obtain the expected value. Options include Mean (default) or Percentile.
Percentile: Percentile number used if "Method" is set to "Percentile". A value of 50 will effectively use a median for the expected value.
🔹 Forecast
Forecast Window: Number of bars ahead for which the expected volume is predicted.
Style: Style settings of the forecast.
Institutional Orderflow Pro — VWAP, Delta, and Liquidity
Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time.
Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting.
The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies.
The indicator combines multiple institutional-grade analytics into one framework:
RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation.
zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior.
CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow.
VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat.
PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones.
ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse.
Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT.
All metrics are displayed through a color-coded, non-repainting HUD:
🟢 = bullish / favorable conditions
🔴 = bearish / weak conditions
⚫ = neutral / flat
🟡 = absorption (potential trap zone)
🟠 = exhaustion (momentum fading)
| Metric | Signal | Meaning |
| ---------------------- | ------- | ---------------------------------------------- |
| **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone |
| **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression |
| **CVDΔ > 0** | 🟢 | Buyers dominate this bar |
| **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short |
| **Slope ok = YES** | 🟢 | Trending market |
| **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones |
| **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment |
| **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone |
How to Use
Confirm Volume Context → RVOL > 1.2
Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN.
Check Slope and VWAP Dir → Ensure trending context (Slope = YES).
Confirm CVD and zΔ → Flow should agree with price direction.
Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players.
Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels.
This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups.
Originality
This script was written from scratch in Pine v6.
It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.).
The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays.
The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots.
Notes & Disclaimers
This indicator does not repaint.
It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system.
Works best on liquid instruments (Futures, Indices, FX majors).
Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings.
Open-source, modifiable, and compatible with Pine v6.
Recommended Use
Apply it with clean charts and standard candles for the best clarity.
Use alongside a basic structure or volume profile to contextualize institutional bias zones.
Author: Dhawal Ranka
Category - Orderflow / VWAP / Institutional Analysis
Version: Pine Script™ v6
License: Open Source (Educational Use)
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap!
🧠 Description
This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
🔍 Why Friday & Monday matter
Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias.
Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the range traps and breakout zones that often control price action until midweek.
> In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
🧩 What this tool does
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
Use it to quickly spot:
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
⚙️ Recommended Use
1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday.
2. When Monday holds above Friday’s high , breakout continuation is likely.
3. When Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
⚠️ Disclaimer
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
ICT Anchored Market Structures with Validation [LuxAlgo]The ICT Anchored Market Structures with Validation indicator is an advanced iteration of the original Pure-Price-Action-Structures tool, designed for price action traders.
It systematically tracks and validates key price action structures, distinguishing between true structural shifts/breaks and short-term sweeps to enhance trend and reversal analysis. The indicator automatically highlights structural points, confirms breakouts, identifies sweeps, and provides clear visual cues for short-term, intermediate-term, and long-term market structures.
A distinctive feature of this indicator is its exclusive reliance on price patterns. It does not depend on any user-defined input, ensuring that its analysis remains robust, objective, and uninfluenced by user bias, making it an effective tool for understanding market dynamics.
🔶 USAGE
Market structure is a cornerstone of price action analysis. This script automatically detects real-time market structures across short-term, intermediate-term, and long-term levels, simplifying trend analysis for traders. It assists in identifying both trend reversals and continuations with greater clarity.
Market structure shifts and breaks help traders identify changes in trend direction. A shift signals a potential reversal, often occurring when a swing high or low is breached, suggesting a transition in trend. A break, on the other hand, confirms the continuation of an established trend, reinforcing the current direction. Recognizing these shifts and breaks allows traders to anticipate price movement with greater accuracy.
It’s important to note that while a CHoCH may signal a potential trend reversal and a BoS suggests a continuation of the prevailing trend, neither guarantees a complete reversal or continuation. In some cases, CHoCH and BoS levels may act as liquidity zones or areas of consolidation rather than indicating a clear shift or continuation in market direction. The indicator’s validation component helps confirm whether the detected CHoCH and BoS are true breakouts or merely liquidity sweeps.
🔶 DETAILS
🔹 Market Structures
Market structures are derived from price action analysis, focusing on identifying key levels and patterns in the market. Swing point detection, a fundamental concept in ICT trading methodologies and teachings, plays a central role in this approach.
Swing points are automatically identified based exclusively on market movements, without requiring any user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real-time as they form. Short-term swing points may appear with a delay of up to one bar, while the identification of intermediate and long-term swing points is entirely dependent on subsequent market movements. Importantly, this detection process is not influenced by any user-defined input, relying solely on pure price action. As a result, swing points are generally not intended for real-time trading scenarios.
Instead, traders often analyze historical swing points to understand market trends and identify potential entry and exit opportunities. By examining swing highs and lows, traders can:
Recognize Trends: Swing highs and lows provide insight into trend direction. Higher swing highs and higher swing lows signify an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often act as resistance levels, referred to as Buyside Liquidity Levels in ICT terminology, while swing lows function as support levels, also known as Sellside Liquidity Levels. Traders can leverage these levels to plan their trade entries and exits.
Spot Reversal Patterns: Swing points can form key reversal patterns, such as double tops or bottoms, head and shoulders, and triangles. Recognizing these patterns can indicate potential trend reversals, enabling traders to adjust their strategies effectively.
Set Stop Loss and Take Profit Levels: In ICT teachings, swing levels represent price points with expected clusters of buy or sell orders. Traders can target these liquidity levels/pools for position accumulation or distribution, using swing points to define stop loss and take profit levels in their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔹 Logic of Validation
The validation process in this script determines whether a detected market structure shift or break represents a confirmed breakout or a sweep.
The breakout is confirmed when the close price is significantly outside the deviation range of the last detected structural price. This deviation range is defined by the 17-period Average True Range (ATR), which creates a buffer around the detected market structure shift or break.
A sweep occurs when the price breaches the structural level within the deviation range but does not confirm a breakout. In this case, the label is updated to 'SWEEP.'
A visual box is created to represent the price range where the breakout or sweep occurs. If the validation process continues, the box is updated. This box visually highlights the price range involved in a sweep, helping traders identify liquidity events on the chart.
🔶 SETTINGS
The settings for Short-Term, Intermediate-Term, and Long-Term Structures are organized into groups, allowing users to customize swing points, market structures, and visual styles for each.
🔹 Structures
Swings and Size: Enables or disables the display of swing highs and lows, assigns icons to represent the structures, and adjusts the size of the icons.
Market Structures: Toggles the visibility of market structure lines.
Market Structure Validation: Enable or disable validation to distinguish true breakouts from liquidity sweeps.
Market Structure Labels: Displays or hides labels indicating the type of market structure.
Line Style and Width: Allows customization of the style and width of the lines representing market structures.
Swing and Line Colors: Provides options to adjust the colors of swing icons, market structure lines, and labels for better visualization.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
