Volume Bubble Map [Herman]Volume Bubble Map visualizes relative volume strength directly on the price chart.
Each candle gets a bubble at its average price (hlc3).
Bubble size and intensity reflect how unusual that bar’s volume is compared to recent history, helping you spot activity clusters, spikes, droughts, and tempo shifts at a glance.
What it shows:
σ -scaled bubbles: The script normalizes volume with a 200-bar standard deviation and classifies each bar into five bands:
-Tiny < 1σ
-Small 1–2σ
-Normal 2–3σ
-Large 3–4σ
Huge ≥ 4σ
Bullish bars use the “Up Color,” bearish bars the “Down Color.” A gradient is applied so higher n_vol appears more intense.
On-chart stats table:
-Selected LookBack window
-Average and Maximum volume (+ price at max)
-Count and percentage of bars in each σ bucket (Tiny → Huge)
-Light/Dark theme and position controls for readability
Optional labels for extremes: If a bar is ≥ 4σ, the indicator can print its exact volume value above the bubble (color of the text is configurable).
Inputs & UI
-LookBack (default 250): number of most recent bars considered in stats and display.
-Display Volume Bubbles: global toggle to show/hide all bubbles.
-Volume Bubbles Size Control: enable/disable each σ band (Tiny/Small/Normal/Large/Huge).
-Up/Down Color: base colors for bullish/bearish bubbles.
-Bubble Label Text Color: text color for ≥4σ volume labels.
-Show Stats Table / Table Position / Table Theme: control the on-chart table’s visibility, corner placement, and theme (Dark/Light).
How it works (method)
-Computes stdev(volume, 200) and creates a normalized volume metric:
n_vol = volume / stdev(volume, 200).
-Restricts drawing to the LookBack window for clarity and performance.
-Draws one bubble per bar at hlc3 with size determined by the σ band and color by bar direction.
Updates the stats table on candle close (non-repainting): averages, maxima, and σ-bucket counts/percentages are recalculated for the current LookBack window.
Typical use cases
-Spot high-activity nodes: quickly see where the market concentrated participation within your session.
-Confirm momentum bursts: clusters of Large/Huge bubbles often mark acceleration phases.
-Context for reversals/sweeps: unusual volume near key levels can add confluence to price action reads.
-Session studies: combine with your session overlays.
Notes & limitations
Works on any symbol/timeframe that provides OHLCV.
Uses only bar volume available in TradingView ; it does not access Level-2, DOM, or tick-by-tick executions.
Non-repainting: statistics update on confirmed bars.
Summary: This indicator provides a statistical visualization of bar volume, not live order-book data. Use it to contextualize activity and spot volume anomalies within TradingView’s dataset; use specialized orderflow tools if you need actual order executions and depth.
Liquidity
Project Pegasus SideMap • VRP Heatmap • Volume Node DetectionDescription CME_MINI:NQ1!
Project Pegasus – Volume SideMap V 1.0 builds a right-anchored horizontal volume heatmap silhouette, visualizing buy/sell participation per price level over any chosen lookback or visible range. It automatically detects Low-Volume Nodes (LVN), Medium-Volume Nodes (MVN), and High-Volume Nodes (HVN), while also marking Top Volume Peaks, POI Lines (Most-Touched Levels), and complete Value Area Levels (POC / VAH / VAL) including optional session highs/lows.
What’s Unique
Right-Fixed Rendering – All profile rows are anchored to the chart’s right edge, creating a consistent visual reference during live trading.
Gap-Free Silhouette – Each price row blends seamlessly with its neighbors, producing a clean and continuous volume shape.
Triple-Tier Node Detection (LVN / MVN / HVN) – Automatically highlights zones of rejection, transition, and acceptance based on relative volume strength.
Dynamic Binning System – Adapts to price range and lookback while preserving proportional per-row volume distribution.
POI Finder (Most Touches) – Highlights price rows that have been touched most frequently by bars (traffic clusters).
Top-N Peaks – Sorts and draws the strongest single-price clusters by total volume while respecting minimum spacing.
Integrated Value Area Metrics – Calculates and plots POC, VAH, and VAL with optional session High/Low markers.
Color Modes – Choose between heatmap intensity (volume-based) or buy/sell ratio blending for directional context.
Performance Optimized – Rebuilds only when structure changes, ensuring smooth operation even with large histories.
Technical Overview
1. Binning & Aggregation
The full price range is divided into a user-defined number of rows (bins) of equal height.
For each bar, traded volume is distributed across all intersecting bins proportionally to price overlap.
A buy/sell proxy is estimated based on candle close position, producing per-row Buy, Sell, and Total Volume arrays.
2. Silhouette Rendering
Each row’s strength = total volume ÷ maximum volume.
Two color modes:
• Volume Mode → intensity scales by relative volume (heatmap).
• Ratio Mode → blend between sell and buy base colors based on dominance (close position).
Weak or neutral rows can be faded or forced to minimum width via strength and ratio-deviation filters.
3. Node Detection (LVN / MVN / HVN)
Relative bands are defined by lower/upper % thresholds.
Consecutive rows meeting criteria are grouped into “bands.”
Optional gap-merge unifies nearby bands separated by small gaps (in ticks).
Quality filters:
• Min. Average in Band (%) → enforces minimum average participation.
• Min. Prominence vs. Neighbors (%) → compares contrast against adjacent volume peaks.
Enforces minimum center distance (in ticks) to prevent overlap.
Each valid band draws a Top/Bottom line pair and optional mid-label (LVN/MVN/HVN).
4. Volume Peaks
Ranks all rows by total volume (descending) and selects top N peaks with spacing filters.
Drawn as horizontal lines or labeled markers (P1, P2, etc.).
5. POI Lines (Most Touches)
During aggregation, each row counts how many bars overlap it.
The top X rows with highest touch counts are drawn as POI lines—often strong participation or mean-retest zones.
6. Value Area (POC / VAH / VAL)
POC = row with highest total volume.
Expands outward symmetrically until the configured Value Area % of total volume is covered.
VAH and VAL mark the acceptance range; optional High/Low lines outline total range boundaries.
7. Right-Fix Layout
All components are rendered relative to the chart’s rightmost bar.
Width dynamically scales with visible bars × % width setting, ensuring proportional scaling across zoom levels.
How to Use
Read market structure:
HVNs = high acceptance or balance areas → likely mean-reversion zones.
LVNs = thin participation → breakout or rejection points (“air pockets”).
MVNs = transition areas between acceptance and rejection.
Trade around POC / VAH / VAL:
These levels represent fair-value boundaries and rotational pivots.
POI & Peaks:
Use them as strong reference lines for responsive trading decisions.
Ratio-Color Mode:
Exposes directional imbalance and potential absorption zones visually.
Best practice:
Live trading → right-fix active, moderate row count.
Post-session analysis → higher granularity, LVN/HVN/MVN and peaks enabled with labels.
Key Settings
Core
Lookback length or visible-range mode
Row count (granularity)
Profile width (% of visible bars)
Right offset, minimum box width, transparency
Date Filter
Aggregate only bars from a defined start date onward.
Coloring
Buy/Sell ratio mode toggle
Base colors for buy and sell volume
Filters
Minimum ratio deviation (±) → ignore nearly balanced rows
Minimum volume strength (%) → fade weak rows
LVN / MVN / HVN Detection
Independent enable toggles
Lower/upper % thresholds
Minimum band height (rows)
Merge small gaps (ticks)
Minimum average in band (%)
Minimum prominence vs. neighbors (%)
Minimum distance between bands (ticks)
Line color, width, style, and label options
Peaks
Number of peaks (0–20)
Minimum distance between peaks (ticks)
Color, width, style, label placement
POI Lines
Enable toggle
POI count (1–5)
Minimum gap between POIs (rows)
Color, width, style, label offset
Value Levels (POC / VAH / VAL)
Show/hide Value Area Levels
Value Area % coverage
POC / VAH / VAL line styles, widths, colors
Optional Session High/Low lines
Notes & Limitations
Optimized for intraday and swing data; accuracy depends on chart volume granularity.
Large lookbacks with high row counts and all detection layers enabled may impact performance—adjust parameters for balance.
Buy/Sell ratio is a visual approximation based on candle structure, not actual order-book delta.
Designed as a contextual visualization tool, not a trade signal generator.
Disclaimer
For educational and informational purposes only.
Not financial advice.
QuantFlow ProQuantFlow Pro
QuantFlow Pro is an advanced institutional indicator designed to detect bias shifts, liquidity imbalances, and real-time flow transitions.
Built on an adaptive architecture, it combines institutional flow analysis, multi-timeframe liquidity levels, and structural reference points to provide a clear and precise view of market dynamics.
Unlike conventional indicators that repaint or produce noisy signals, QuantFlow Pro relies on robust calculations based on volume, delta imbalance, and the detection of structural dislocations.
⚙️ Optimized for Futures markets, QuantFlow Pro helps traders identify market turning points with institutional precision and consistent reliability over time.
ORDER FLOW Professional & Delta LineThe ORDER FLOW Professional & Delta Line indicator provides a powerful visualization of buy and sell volume imbalances within each candle — offering traders a deeper view into market order flow dynamics.
Inspired by footprint charts, this tool estimates Up Volume, Down Volume, and their difference (Delta) to highlight whether buyers or sellers are in control. It’s designed for traders who want a clear and professional way to track volume-based momentum directly on their charts.
🔹 Key Features:
Accurate estimation of buy (Up) and sell (Down) volume per bar
Delta Line displaying the net order flow difference
Customizable delta color for personalized visualization
Optional numeric labels showing Up, Down, and Δ values
Footprint-style column display in a clean lower panel
Background color shading to reflect positive/negative delta
💡 Ideal For:
Professional traders and volume analysts seeking to confirm price action through order flow insights, detect absorption or exhaustion, and enhance decision-making with visual delta tracking.
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)
༒LIQUIDITY༒ 🧠 Indicator Description: ༒LIQUIDITY༒
The ༒LIQUIDITY༒ indicator visualizes a dynamic liquidity and liquidation level heatmap based on changes in Open Interest (OI) from Binance futures markets.
It highlights precise areas where clusters of leveraged LONG and SHORT positions are likely to be liquidated, offering traders a clear view of liquidity zones.
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⚙️ Key Features:
📉 Liquidity Heatmap: Displays potential liquidation levels derived from Open Interest data.
⚡ Three customizable leverage levels to detect high and low liquidation ranges.
🧩 Intrabar resolution control for multi-timeframe analysis (1m, 5m, 15m, etc.).
🎚️ Signal filtering (optional): Focus on significant Open Interest spikes only.
🎨 Progressive color gradient: Colors change according to contract size, creating a clear heatmap of risk clusters.
🔔 Built-in alerts when LONG or SHORT clusters get swept by price action.
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🧭 How to Read It:
Green/Yellow zones: Indicate areas with a high concentration of LONG liquidations, potential downside liquidity targets.
Blue/Purple zones: Show SHORT liquidation clusters, often acting as upside liquidity targets.
The more intense the color, the greater the contract volume at that price level.
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💡 Usage Tips:
Best combined with Smart Money Concepts (SMC) tools, Order Blocks, or Fair Value Gaps (FVG).
Recommended for timeframes between 5 minutes and 1 hour for optimal clarity and performance.
Adjust the scale and dispersion factor to fine-tune the map’s precision and visual clarity.
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).
Institutional AI-Enhanced Market StructureInstitutional AI-Enhanced Market Structure Indicator
COMPREHENSIVE DESCRIPTION
Overview and Purpose
This indicator combines institutional trading concepts (Smart Money Concepts) with a proprietary AI-inspired probability scoring system to identify high-probability trading opportunities. Unlike standard trend-following or support/resistance indicators, this tool integrates multiple institutional order flow concepts and quantifies their confluence through a dynamic scoring algorithm that adapts to market conditions.
The indicator is closed-source because it contains a unique multi-factor probability calculation engine and adaptive parameter optimization system that took extensive development and backtesting to create. The specific weighting, thresholds, and interaction between components represent proprietary intellectual property.
What Makes This Original
1. AI-Inspired Adaptive Probability Scoring System
The core innovation is a dynamic scoring algorithm that evaluates trade setups based on 6 confluence factors:
Market Structure Quality (20 points): Validates Break of Structure (BOS) or Change of Character (CHoCH) using pivot-based swing analysis
Order Flow Strength (15 points): Measures institutional volume participation relative to 20 and 50-period moving averages with standard deviation filtering
Liquidity Engineering (15 points): Detects liquidity sweeps at equal highs/lows (EQL) where retail stop losses cluster
Imbalance Presence (10 points): Identifies unfilled Fair Value Gaps (3-candle imbalances) as institutional entry zones
Market Regime Alignment (10 points): Confirms directional bias through multi-factor regime classification
Volatility Environment (5 points): Penalizes signals during high-volatility "chop" periods
Each factor is weighted based on backtested importance, and the total score (50-100%) must exceed a user-defined threshold before displaying signals. This is NOT a simple indicator mashup—the scoring system dynamically evaluates how these concepts work together in real-time.
2. Dynamic Market Regime Detection
Most indicators use static parameters. This indicator continuously classifies the market into one of four regimes using four calculations:
Trend Strength: EMA(21) vs EMA(50) divergence relative to price
Volatility Ratio: Current price standard deviation vs 50-period average
Volume Regime: Current volume vs 50-period SMA
Average Daily Range: 20-bar high-low range normalized to price
Based on these inputs, the algorithm classifies markets as:
BULL_TREND: Strong upward momentum with above-average volume
BEAR_TREND: Strong downward momentum with above-average volume
RANGING: Low trend strength with contained volatility
VOLATILE: Elevated volatility ratio above 1.5x average
The regime detection then adaptively modifies:
ATR multipliers for stop placement (2.5x in volatile, 1.2x in ranging, 1.8x in trending)
Signal probability requirements (higher in volatile conditions)
Order block decay rates
Fair value gap sensitivity
3. Institutional Order Flow Integration
The indicator detects and tracks institutional footprints through three proprietary methods:
Order Blocks: Unlike simple supply/demand zones, this uses a multi-condition filter:
Volume spike > 2.0 standard deviations above 20-period average
Large candle body > 0.8x ATR
Confirmation of Break of Structure in the same direction
Touch tracking and "tested" status when price revisits
Automatic decay after user-defined bars (prevents chart clutter)
Fair Value Gaps (Imbalances): 3-candle inefficiency detection where:
Bullish FVG: low > high AND close > high (gap between candle 0 and 2)
Bearish FVG: high < low AND close < low
Real-time fill percentage tracking as price revisits the gap
Assumes institutions will defend or fill these imbalances
Liquidity Zones: Detects equal highs/lows where retail stops cluster:
Identifies swing points within user-defined percentage threshold (default 0.3%)
Tracks "sweep" events when price spikes through then reverses (wick through level, close back inside)
Differentiates swept vs unswept liquidity for entry timing
4. Volume-Weighted Dynamic Levels
Instead of simple moving averages or static pivots, support/resistance are calculated using volume-weighted price:
Support = Σ(low × volume ) / Σ(volume ) for i=0 to 19
Resistance = Σ(high × volume ) / Σ(volume ) for i=0 to 19
This gives more weight to price levels with higher institutional participation, creating more reliable stop-loss placement when "Adaptive Stop Loss" is enabled.
5. Multi-Timeframe Confluence
The indicator queries daily timeframe data for higher-timeframe confirmation:
Daily EMA trend direction (21 vs 50)
Daily volume regime (above/below 20-period average)
Daily market regime classification
Signals only trigger when current timeframe setup aligns with daily timeframe bias, filtering out counter-trend noise.
How It Works - Technical Methodology
Market Structure Detection (Smart Money Concepts)
Uses ta.pivothigh() and ta.pivotlow() with user-defined strength (default 5 bars each side)
Stores last 50 swing highs and lows in arrays for historical reference
Break of Structure (BOS): Price closes beyond the most recent swing high (bullish) or swing low (bearish)
Change of Character (CHoCH): Price breaks counter-trend structure (low breaks above previous swing low = potential reversal)
Signal Generation Logic
A valid LONG signal requires ALL of the following:
Setup: Bullish BOS or CHoCH confirmed
Confirmation: Bullish liquidity sweep OR unfilled bullish FVG present
HTF Alignment: Daily timeframe in uptrend with above-average volume
Probability Score: AI scoring system returns ≥65% (user adjustable 50-95%)
Risk:Reward: Calculated stop (ATR-based or adaptive) allows minimum 2:1 R:R (user adjustable)
SHORT signals use inverse logic (bearish structure, bearish sweeps/FVGs, daily downtrend).
Adaptive Risk Management
Stop loss calculation adapts based on:
Current market regime (wider stops in volatile markets)
Volume-weighted support/resistance levels when "Adaptive" enabled
Minimum risk threshold (0.2% of price) to avoid over-tight stops
Take profit targets automatically calculate based on user-defined risk:reward ratio (default 2:1).
How To Use This Indicator
Initial Setup
Market Structure Group:
Start with default Swing Strength (5) for 1H-4H timeframes
Increase to 10-15 for daily timeframes
Decrease to 3 for scalping on 5-15min timeframes
AI Features Group:
Set "Signal Probability Threshold" to 65% for balanced approach
Increase to 75-80% for fewer but higher-quality signals
Lower to 60% in strong trending markets for more entries
Risk Management:
Enable "Adaptive Stop Loss" for dynamic support/resistance-based stops
Set "Minimum Risk:Reward" to 2.0 or higher (institutional standard)
Adjust ATR Length (14) based on timeframe (shorter for intraday)
Reading The Signals
Visual Elements:
Small triangles: Swing highs (red) and lows (green) - market structure pivots
Circles: Break of Structure - lime (bullish) or red (bearish)
Diamonds: Change of Character - cyan (bullish reversal) or orange (bearish reversal)
Boxes: Order blocks (green=bullish, red=bearish, yellow border=tested)
Transparent boxes: Fair Value Gaps (blue=bullish, purple=bearish)
Dashed/solid lines: Liquidity zones (purple=unswept, yellow=swept)
Large arrows: Trade signals with probability % (🔼 LONG / 🔽 SHORT)
Red/Green lines: Stop loss and take profit levels
Statistics Dashboard (top right by default):
Market Regime: Current classification (BULL_TREND, BEAR_TREND, RANGING, VOLATILE)
Volatility Ratio: Current vs average volatility (>1.5 = avoid trading)
Volume Regime: Current vs average volume (>1.2 = strong institutional participation)
Active Order Blocks: Number of untested institutional zones
Unfilled FVGs: Number of imbalances awaiting price return
Liquidity Zones: Unswept equal highs/lows (potential reversal areas)
HTF Alignment: Daily timeframe bias (confirm direction)
Last Signal Prob: Confidence score of most recent signal
Trading Strategy
For LONG Entries:
Wait for bullish BOS or CHoCH marker (circle/diamond below price)
Confirm market regime is BULL_TREND or RANGING (not VOLATILE)
Look for bullish liquidity sweep (yellow line below price) or unfilled bullish FVG (blue box)
When all align, watch for 🔼 LONG signal with probability ≥65%
Enter on signal candle close
Stop loss = red line, Take profit = green line
Monitor FVG fills and order block tests for possible early exit
For SHORT Entries:
Same logic in reverse (bearish structure, BEAR_TREND regime, bearish sweeps/FVGs, 🔽 SHORT signals)
Advanced Usage:
Order Block Confluence: Highest probability entries occur when price retraces to tested order block (yellow border) + FVG overlap
Liquidity Sweep Reversals: Best entries often follow immediate sweep (yellow line) then signal in opposite direction
Regime Filtering: Avoid trading during VOLATILE regime or when volatility ratio >1.5
HTF Confirmation: Only take signals when HTF Alignment matches direction (BULLISH for longs, BEARISH for shorts)
Customization:
Every visual element has individual toggle and color controls in settings:
Hide swing points if chart too cluttered
Disable BOS/CHoCH markers if only using order blocks
Turn off FVGs if focusing on liquidity sweeps
Customize colors to match your chart theme
Reposition dashboard to any corner
Why This Requires Closed-Source Protection
This indicator represents months of development integrating:
Proprietary probability weighting system - The specific point allocation (20/15/15/10/10/5) and interaction logic between factors is based on extensive backtesting across multiple markets and timeframes
Adaptive parameter optimization algorithms - How the indicator modifies ATR multipliers, decay rates, and thresholds based on regime detection uses proprietary mathematical relationships
Volume-weighted level calculations - The specific lookback periods and weighting formulas for dynamic support/resistance are optimized through statistical analysis
Multi-factor regime classification - The exact thresholds for trend strength (0.02), volatility ratio (1.3/1.5), and volume regime (1.0/1.2) are calibrated values
While the underlying concepts (SMC, order blocks, FVGs) are known, the integration methodology, scoring system, and adaptive algorithms are original intellectual property. An open-source version would allow immediate copying of years of development work, defeating the purpose of creating a professional-grade tool.
The detailed description above provides traders with complete transparency on WHAT the indicator does and HOW to use it effectively, without revealing the exact mathematical relationships and thresholds that make it effective.
Disclaimer
This indicator is an analytical tool for identifying potential trading opportunities based on institutional order flow concepts. It does not guarantee profits and should be used alongside proper risk management, fundamental analysis, and personal trading rules. Past performance does not indicate future results. Always use stop losses and never risk more than you can afford to lose.
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by @archie_trades
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 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.
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically.
This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity.
Key Features
Automatically adjusts to your chart’s local timezone
Highlights Asian, London, and New York sessions with clean color zones
Works on all timeframes and asset classes
Ideal for Smart Money Concepts (SMC), ICT, and price action strategies
Helps identify range breakouts, session highs/lows, and liquidity grabs
How It Works
Each session box updates in real time to show the current range as the market develops.
The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions.
Sessions (default times):
Asian: 17:00 – 03:00
London: 02:00 – 11:00
New York: 07:00 – 16:00
How to Use
Add the indicator to your chart.
Ensure your chart timezone matches your local time in chart settings.
Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York).
Created by FOREXSOM
Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW
This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail.
🟠 CONCEPTS
The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as:
Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution)
Retail — volume closing at bar extremes (suggesting chase entries or panic exits)
When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume.
🟠 FEATURES
Classifies flows into Smart Money or Retail based on candle-body context.
Displays live P/L comparison table for Smart vs Retail performance.
Alerts for each detected Smart or Retail buy/sell event.
🟠 USAGE
Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level.
Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price.
See what others are doing :
Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Liquidity StatusKey Points
The Liquidity Status (LS) indicator is designed to directly monitor liquidity conditions and determine if they are Bullish or Bearish.
If conditions are bullish, the candle is painted green (or whichever color is chosen by you to represent bullish liquidity) and the expected price action is up.
If conditions are bearish, the candle is painted red (or whichever color is chosen by you to represent bearish liquidity) and the expected price action is down.
LS allows you to monitor for when traders are absorbing or supplying liquidity and in which direction the liquidity is flowing.
LS works on equities, cryptocurrencies, forex, options data, and futures.
Summary
The Liquidity Status (LS) indicator measures liquidity directly without relying on bid/ask spreads, order-book information, or any other traditional means. The benefit of this non-traditional approach is a novel and unique way to interpret and analyze liquidity in the market.
LS is designed to be as straightforward as possible: when conditions are bullish then the outlook is bullish and the candles are painted the bullish color (default: green), and when conditions are bearish then the outlook is bearish and the candles are painted the bearish color (default: red).
This means the candles are not colored based on their price movements but rather based on their liquidity status.
Additionally, LS indicates Liquidity Flow (LF) as well. LF indicates where the source of liquidity is or is moving towards: either towards the Ask (if the Bid is requiring liquidity then the liquidity source becomes the Ask), or towards the Bid (if the Ask is requiring liquidity then the liquidity source becomes the Bid). This can be helpful in early identification of trend changes.
The default settings are designed to be streamlined but the Settings section below outlines how to add additional information and detail to your charts if desired.
Examples
An example of LS on default setting:
With Full and Declarative reporting:
ES Futures:
Details
In the default settings, LS indicates if conditions are:
Bullish : meaning that current liquidity is bullish and so too are outlooks, or
Bearish: meaning that current liquidity is bearish and so too are outlooks.
There are additional data that are provided via LS, if toggled on (as described below). They include:
Aggressive Bid / Ask : This indicates that there is an aggressive trader present. Aggressive traders are large liquidity absorbers and are defined as having a sense of urgency in their trading that will cause them to go where-ever (whichever price) they can in order to transact. A classic Aggressive Bid, for instance, is a short-seller currently being squeezed.
Eager Bid / Ask : This indicates that there is an eager trader present. Eager traders are defined by their willingness to “cross the isle” in order to transact. For example, an eager bid will move to the ask in order to transact whereas an organic bid would not.
Organic Bid / Ask : This indicates that transactions are occurring at the organic traders. Organic traders are defined as having a large time-horizon and are value-seekers. For instance, an organic ask will likely move price up in order to sell high (the second part of buy low, sell high).
Additionally, LS indicates LF by specifying which party has the demand for liquidity and which has the supply for liquidity.
Flow to Ask : This indicates that the demand to transact is flowing to the ask (i.e.: the bid needs to transact more than the ask) and thus the ask is becoming the liquidity supplier.
Flow to Bid : This indicates that the demand to transact is flowing to the bid (i.e.: the ask needs to transact more than the bid) and thus the bid is becoming the liquidity supplier.
Neutral : No discernable difference in liquidity demand.
In combination, these signals can produce powerful measurements of underlying liquidity activity. For instance:
If LS indicates “At Organic Ask” and LF indicates “Flow to Ask” then this means that (1) transactions are predominantly occurring at or near the organic ask and (2) the organic ask is the dominate liquidity supplier. The consequence is likely substantial price appreciation (remember: the organic ask wants to sell high and now they are setting the terms and conditions of transacting!).
Example - How it started: transactions started to occur at the Organic Ask with Flow to Ask:
Example - How it ended:
Conversely, “At Organic Bid” and “Flow to Bid” indicates that transactions are predominantly occurring at or near the organic bid (who wants to buy low) and they the ones fulfilling the demand to transact coming from the ask. The expected outlook? Price depreciation as the organic bid lowers their orders to average down!
Example - How it started: transactions started to occur at Organic Bid with Flow to Bid:
Example - How it ended:
Lastly, LS (in combination with Liquidity Triggers) can identify moments of high-risk for bull and bear traps (see FAQ for details on how traps are found).
Example: Bear-Trap (with LT displayed)
Example: Bull-Trap (with LT displayed)
Customization
LS has many customization options available.
Sensitivity Mode
LS comes in a variety of sensitivities (for the nerds: adjusting the Sensitivity vs. Specificity), outlined below:
Aggressive : The Aggressive sensitivity mode puts LS in a state of hyper-awareness for anything that might indicate a change in overall liquidity status (i.e.: Bullish to Bearish or Bearish to Bullish) is underway. The benefit of the Aggressive mode is that it does not take much for LS to change its mind about current conditions. The trade-off, however, is increase in false alarms.
Balance : The balanced setting works to balance specificity (how right LS is) with sensitivity (how much chang it takes to convince LS to change its mind).
Conservative : The conservative setting is prone to change slower than both Aggressive and Balance but is intended to be more “certain” of the changes when they are indicated. This can lower the sensitivity (early entrances to trend-changes might be delayed slightly) in exchange for greater confidence in the future.
Diamond : This is the most specific and least sensitive option. Designed for when you only want LS to indicate a change with the strictest of criteria met.
Examples:
Aggressive LS:
Balanced LS:
Conservative LS:
Diamond LS:
LS Detail Amount
Controls how much detail and information you want displayed.
Simplified : Keeps messaging straightforward: Bearish or Bullish.
Full : Parsing the data for greater detail about if conditions are Strong or Weak. Produces candles and text output.
LS Reporting Style
Interpretive : Text output from LS is kept as either Bullish or Bearish.
Declarative : Additional information regarding if the transactions are being performed by an Aggressive, Eager or Organic trader.
LS Candle Replacement
In order to have LS produce candles colored by liquidity, the `LS Candle Replacement` option must be selected, along with deselecting the charts candle-making by going to Settings -> Symbol and de-selecting `Body`, `Border`, and `Wick`.
Otherwise, LS’ colors will be over-ridden by the chart.
Alerts
LS comes with several alerts to help keep track of changing liquidity conditions in the market. They include:
Is Bullish / Bearish : fires at the start of the candle if conditions are bullish/bearish.
Has Become Bullish / Bearish : Fires at the end of the candle if conditions have swapped (as compared to the previous candle).
Flow is to Ask / Bid : Fires at the start of the candle to indicate which direction liquidity is flowing via LF.
Flow Switch to Bid / Ask : Fires if there is a change in the LF from one to the other.
Suspected Bear Trap : Fires if a bear trap is detected.
Suspected Bear Trap Ended : Fires if an on-going bear-trap has ended.
Suspected Bull Trap : Fires if a bull trap is detected.
Suspected Bull Trap Ended : Fires if an on-going bull-trap has ended.
Frequently Asked Questions
How can I get access to LS?
Please see the Author’s Instructions for more information.
Where can I get more information on LS?
Please see the Author’s Instructions for more information.
I tried to add LS to my chart but nothing is showing.
That’s no good! Be sure that the indicator hasn’t errored out (if there is a small red dot next to its name then it has errored out). If it has, then try re-applying the indicator to your chart.
If there is no error indicated, and you still do not see anything it may be likely that the requested symbol either:
Doesn’t have sufficient data to calculate LS on, or
Lacks the data for LS to be calculated completed.
To check, try using LS on a smaller interval. If LS starts to populate, it is likely that the needed data is present but just not enough for the timeframe you were interested in. If there is no LS even when moving to lower intervals, then it may be that the specified underlying lacks the required data.
How come LS is saying things are Bearish but price is going up?
Sometimes that can happen! But until LS indicates bullish liquidity, the expectation is that price will fall back down.
How come LS is saying things are Bullish but price is going down?
Sometimes that can happen! But until LS indicates bearish liquidity, the expectation is that price will recover and continue moving on upwards.
How do you locate Bear and Bull traps?
LS has LT (Liquidity Triggers) baked into it for alerts and uses LT to compare expected conditions with real conditions. If LS and LT are mismatched then a trap is detected. The LT conditions checked are:
If LT is in a bull-stack : that means LT(144) > LT(377) > LT(610), or
If LT is in a bear-stack : that means LT(610) < LT(377) < LT(144)
Then once the stack is determined, if LS disagrees:
LS is indicating Bullish while LT is in a bear-stack, or
LS is indicating Bearish while LT is in a bull-stack
Then the alert is triggered (based off of LT’s orientation). This means:
If conditions are Bullish but LT is showing a Bearish stack, then a Bull Trap is detected, and
If conditions are Bearish but LT is showing a Bullish Stack, then a Bear Trap is detected.
I have questions and maybe a bug!
Please reach out and report! Please refer to the Author’s Instructions for more information on how to reach out.
Does LS get updates?
Yup! Improvements come relatively frequently and if you have any suggestions for improvements, please don’t hesitate to reach out.
Liquidity TriggersKey Points
Liquidity Triggers indicate:
Where liquidity-derived support levels are.
Where liquidity-derived resistance levels are.
When a large price increase is approaching via the Rip Currents .
- When a large price decrease is approaching via the Dip Currents .
Summary
Liquidity Triggers are produced by measuring liquidity and determining where supportive liquidity and resistance-liquidity are. These trigger-levels designate price-points where breakouts, breakthroughs, and bounces are anticipated.
Liquidity Triggers are dynamic, and they constantly re-evaluate liquidity conditions to determine where the next group of sellers or buyers are that can fuel rapid changes in price movement, such as initiating a trend change or stalling price-action completely.
To use, simply apply to your chart and monitor for Supportive Liquidity Triggers (LTs that are below price) for bounces, and Resistance Liquidity Triggers (LTs that are above price) for rejections.
You can also set Alerts designed specifically around the Liquidity Triggers.
Examples
Example 1: A quick look at LT Resistances and Supports. When a LT is above spot, then it is considered a resistance. When LT is below spot, it is considered a support.
Example 2: LTs can indicate to us when an upcoming Rip Current (large price appreciation) or a Dip Current (large price depreciation) is starting.
Here is an example of a Rip Current:
And here is a Dip Current:
Details
Liquidity Triggers come with a default load-out that utilizes several pre-configured settings for quick and easy start-up.
Triggers
The default triggers are labeled LT-1 through LT-7, these correspond ` orders ` that describe which type of liquidity is monitored. The two groups of traders that are monitored are the ` Eager ` and the ` Organic `.
The default triggers use the Fibonacci sequence to adjust their orders in a standardized way.
Triggers 1, 2, 3, and 4 monitor the ` Eager ` traders (with default settings) while triggers 5, 6, and 7 monitor the ` Organic `traders.
Eager Triggers represent profit-takers and dip-buyers .
When the Eager Triggers are above the price, they are ` selling the rip `, and when the Eager Triggers are below price, they are ` buying the dip `. These moments indicate growing pressure for a reversal. Eager triggers are any trigger with an order of 89 or less .
Organic Triggers represent value-seekers with long-term goals. When they are below price, they are areas of support and tend to fuel bounces, while when organic triggers that are above price are areas of resistance and often provoke rejections. Organic triggers are any trigger with an order of 90 or more .
Here's an example showing the faint eager liquidity triggers above spot, indicating profit-taking and below spot after a price-dip indicating dip-buying .
Customization
There are additional settings and configurations available to the Liquidity Triggers indicator that help customize your view of liquidity.
Smoothing
Smoothing can be applied to the triggers for a more peaceful showing. The smoothing options are:
None - Default.
Exponential-Moving Average (EMA) : Ideal for when you want the most recent activity to take higher priority.
Simple-Moving Average (SMA) : Ideal for when you want a smoother appearance but do not want to change the data too much.
Weighted-Moving Average (WMA): Ideal for when you want the smoothing to increase as the trigger order increases.
Modified-Moving Average (RMA): Produces the most smooth data.
Here is an example of how smoothing can change the appearance of LTs for easier analysis for when things get complicated:
Modifying the Default Load-out
The default loadout attempts to balance having a wide view of the data without bringing too many lines or values into the picture that might be too noisy, but these values can be added to customize and expand your view if desired.
The Fib load-out has the options with t he default load-out being .
Feel free to mix and match and explore which views you prefer when analyzing liquidity.
For example, for the extreme data-heads, you can add LDPM twice on the chart to get all of the orders displayed at once:
Liquidity Triggers - Granular Triggers
The granular trigger can be toggled on (default: off) for when candle-specific liquidity measurements desired. They can help identify which specific candles have eager and aggressive traders attempting to move spot: the further away the granular trigger is from the candle, the more force is being applied!
Manual LTs
If you’re not satisfied with the default options for triggers, you can set your own with the Manual Liquidity Triggers option.
Time-Based LTs
Time-based liquidity triggers give you a view of support and resistance triggers based off of the time chosen, rather than by an order. This allows you to construct “weekly Liquidity-Triggers” or “hourly Liquidity Triggers” to analyze and compare against.
Note: If the timeframes are too far apart, you might get an error. For instance, putting a 1-week reference LT onto a 30-second chart may not work.
Liquidity-Triggers Data-Table
With the `Display Liquidity Trigger Statuses and Values` option, you can place a data-table on the chart that will display the time-based triggers, their values, and if they are above (bearish) or below (bullish) spot.
Alerts
When you set alerts, you can determine which order is used for determining `Is bullish`, `Is Bearish`, `Has Become Bullish`, `Has Become Bearish` alerts in the LT Alert Order setting.
Several LT alerts are available to set:
Is Bullish / Bearish: these are designed to analyze conditions at the end of the candle and if spot is above the alert-trigger, then an alert is sent out that conditions are bullish, and if spot is below the alert-trigger, then an alert is sent out if conditions are bearish.
Has Become Bullish / Bearish: designed to analyze conditions at the start of a candle and determine if a change has occurred (a LT cross-over).
Suspected Rip Current: these are designed to alert you when a suspected upwards rip in price is underway, as characterized by all LT triggers moving rapidly down away from spot.
Suspected Dip Current: these are designed to alert you when a suspected downwards rip in price is underway, as characterized by all LT triggers moving rapidly up and above, away from spot.
These alerts can then be put into a webhook for external processing if desired.
Frequently Asked Questions
How can I gain access to LT?
Check out the Author's Instructions section below.
Where can I get more information?
Check out the Author's Instructions section below for how to obtain more information.
I tried to add LT to my chart but it produced an error.
Sometimes this happens but no worries. Just change the chart's interval to a different time and then back, the indicator should re-load. If that fails, try removing it completely and re-applying it.
Is it normal for LTs to have different values on different timeframes?
Yup! Think of each time-interval as a different "zoom" of the market. Imagine you are taking a picture of the ocean to figure out the direction of water movement. If you take the picture from space, you will see big general trends but if you take the photo from your boat in the harbor, you're going to get specific data about that area. That's how LT works!
The view of the liquidity depends on the "zoom-age" (the chart's interval) used when taking the photo.
I think there is an issue with the alerts - what should I do?
This is not ideal! If this happens, please reach out via the contact information in the Author's Instructions section below with the following details:
What symbol?
What timeframe?
Which alert?
When did the alert occur?
Can I attach the alerts to webhooks?
Yup! Be sure to check out TV's guide on webhooks ( T.V. Guide to Alerts ) for how to get started.
Does LT receive updates?
Yup! If a bug or issue is found, an update is pushed out. You will be notified when this occurs and it is highly recommended that you replace all charts with LT on them with the new version as the updates go out.
BSL/SSL This indicator automatically detects and highlights Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) zones based on swing highs and swing lows, following the ICT (Inner Circle Trader) liquidity concept.
Instead of large rectangles or extended zones, this version marks liquidity pools with clean, compact boxes, allowing traders to clearly visualize where stops and resting orders are likely accumulated — without cluttering the chart.
Yen Carry Composite Index + Macro Flow GaugeWhat This Indicator Does
This chart visualizes the strength, trend, and macro conditions supporting or weakening the yen carry trade a strategy where investors borrow in low yielding yen to invest in higher yielding assets
How It Works: Core Components
Composite Index (Blue Line):
A weighted blend of z-scores from:
USD/JPY (strength of USD vs JPY)
10Y yield spread (US – Japan)
AUD/JPY (risk proxy for carry appetite)
VIX (global risk sentiment, inverted)
Z-scores normalize each input to show how far it deviates from recent history (not raw values).
Positive composite trend ⬅️ strong carry environment
Negative composite trend ➡️ signs of unwind or stress
Individual Z-Score Lines:
🟥 USD/JPY
🟩 Yield Spread (US10Y − JP10Y)
🟪 FX Proxy (AUD/JPY)
🟦 VIX (risk sentiment)
Threshold Lines & Signal Markers:
Green 🟢⬅️🟢🟢 “carry active” threshold (+1.5 std dev)
Red dashed line 🔴➡️🔴🔴→ “carry unwind risk” (−1.5 std dev)
Carry Trade Strength Gauge (Horizontal Bar, Bottom-Right) www.tradingview.com
Slots:
🟢 = strong carry inflow conditions
⚪ = neutral midpoint
🔴 = outflow / unwind pressure
A directional arrow (⬅️ or ➡️) shows momentum:
➡️ = composite rising → improving carry environment
⬅️ = composite falling → deteriorating carry conditions
Arrow is placed at the current strength level, visually combining position + momentum
Labels “Inflows” and “Outflows” flank the bar for clarity
Use Case Summary
Macro risk overlay for JPY pairs, EM FX, bond carry strategies
Detect early unwind phases (e.g. if arrow ⬅️ appears in red zone)
Confirm entry/exit in directional JPY trades or expected liquidity to enter the markets
ICT Concepts(Liquidity, FVG & Liquidity Sweeps)📄 Description:
A Smart Money Concept (SMC)-based utility that blends ICT-style Liquidity Sweeps, Fair Value Gap (FVG) mapping, and Swing Structure proxies – designed for traders seeking clean precision in price imbalance analysis.
⸻
🔍 1. What This Script Does
T his indicator brings together three core Institutional Concepts:
• Liquidity Sweep Detection : Identifies buy/sell-side liquidity grabs (fakeouts) confirmed by volume spikes – a common precursor to institutional order flow shifts.
• Fair Value Gaps (FVGs) : Highlights inefficiencies between price legs using strict ICT-style 3-candle or gap-based rules. These are areas institutions often revisit.
• Swing Structure Proxy (OB Mapping) : Tracks dynamic swing highs/lows to act as proxy zones for potential order blocks and structural boundaries.
It also includes a cooldown-based signal filtering engine to prevent overfitting and noise, helping traders avoid false positives in choppy markets.
⚙️ 2. How It Works (Core Logic)
✅ A. Liquidity Sweep Engine
• Looks back N bars to find Equal Highs or Equal Lows.
• Triggers a signal only if price sweeps the level and closes on the other side with a volume spike.
• Customizable volume threshold (e.g., 1.5x average volume).
• Includes a signal cooldown period to reduce clutter and boost quality.
Bullish Sweep = Price dips below equal lows but closes higher
Bearish Sweep = Price spikes above equal highs but closes lower
Visuals: Signal arrows with alerts (BUY LQ / SELL LQ)
⸻
✅ B. Fair Value Gap (FVG) Zones
• Detects FVGs using:
• Sequential logic: Low > High (bullish), High < Low (bearish)
• Gap logic: Open gaps at bar open
• Dynamic box drawing:
• Automatically extends FVG zones until price fully closes through them.
• Different color coding for bullish (teal) and bearish (orange) gaps.
• Customizable:
• Opacity control
• Option to include/exclude gap-based FVGs
• Hide filled zones
• Limit total zones rendered (for performance)
⸻
✅ C. Swing High/Low Structure
• Uses a lookback period to find latest swing high/low levels.
• Acts as a proxy for Order Block zones or structural shift reference points.
• Plotted as red (high) and green (low) lines.
⸻
🚀 3. How to Use It
• Scalpers and Intraday Traders can use Liquidity Sweep + FVG Confluence to time reversals or catch early entries into trend continuation moves.
• Swing Traders can observe swing OB proxies and recent FVG zones to frame directional bias and target zones.
• Volume-Aware Traders benefit from the volume filter that confirms sweeps are meaningful – not just random stop hunts.
🔔 Set alerts on:
• Bullish Liquidity Sweeps
• Bearish Liquidity Sweeps
You can use this in combination with your own trend filters, or even confluence it with Order Blocks, VWAP, or EMA trend tools.
⸻
💡 What Makes It Original?
• The script doesn’t merely combine standard tools — it builds a cohesive ICT-style detection system using:
• A custom volume-confirmed liquidity sweep filter
• Dynamic FVG rendering with filled logic + performance optimization
• Visual hierarchy to avoid clutter: clean line plots, contextual boxes, and conditional signals
• Highly customizable yet lightweight, making it suitable for fast-paced decision making.
⸻
✅ Notes
• Invite-only script for serious traders interested in Smart Money and ICT concepts.
• Does not repaint signals.
• All visuals are dynamically managed for clarity and performance.
Anchored Session Volume Profile • Heatmap Profiles • Asia/EU/US Description
This indicator builds Anchored Session Volume Profiles for Asia, EU, and US sessions on intraday charts and renders them as right-docked line histograms (heatmap or classic style). Each session computes its own POC, VAH, VAL and optional Session High/Low lines. An optional per-price-bin Delta overlay estimates buy/sell pressure inside the profile rows for quick order-flow context.
What’s unique
Three independent session anchors (Asia/EU/US) with custom start/end times, bin size in ticks, and Value Area %.
Right-fixed live rendering or post-close persistence (draw levels only after the session closes).
Adaptive width: profile width scales with elapsed session length (anchor → now/end) within user limits.
Heatmap profile: row tint scales by relative volume; or Classic single-color with optional gradient.
Per-row Delta ticks (outside/inside, configurable direction) derived from bar delta and overlap with each price bin.
Clean POC/VAH/VAL line styling, optional ray extension, and Session High/Low rays per session.
How it works (technical)
Binning: Rows are built with a user-defined bin height in ticks. Arrays expand/shrink as price extends; the base is shifted when new lows appear to keep bins aligned.
Accumulation: For each bar within the active session window, traded volume is distributed to intersecting bins proportionally to the price overlap with that bin.
Value Area: POC is the highest-volume bin. VA is grown symmetrically around the POC until the selected coverage (VA%) is reached.
Delta per bin (optional): A bar-level delta proxy volume * (close − open) / range (clamped) is split into buy/sell and allocated to bins proportionally to the same overlap share, producing a per-row delta magnitude for rendering ticks.
Rendering modes:
Right fixed: refreshes each bar; lines/histogram are docked at the anchor X-position.
Draw Levels after Session Close: on close, only POC/VAH/VAL (and optional Session High/Low) are persisted.
No lookahead: All computations use confirmed bars; levels are deterministic on close.
How to use
Use the Asia/EU/US profiles to read participation hand-offs and session-driven rotations.
Trade off POC/VAH/VAL as acceptance/rejection references; confluence with session High/Low often marks responsive flows.
Employ Delta ticks per row to spot absorption, one-sided stacking, or fading participation inside the profile without leaving TradingView.
Prefer right-fixed during live trading and post-close when you want persistent session levels.
Key settings
General per session: Start/End (hh:mm), Bin size (ticks), Value Area %, toggle POC/VAH/VAL lines.
Rendering: Heatmap vs. Classic, orientation (Left/Right), gradient on/off, row thickness, right offset, adaptive width limits.
Delta (per price bin): global on/off, per-session on/off, tick width, max tick length (bars), outside/inside placement, direction (sign-based / always left / always right), colors.
Levels: POC/VAH/VAL styles (solid/dashed/dotted), widths, colors, extend right (ray).
Session High/Low: per-session on/off, style, width, colors, optional right-ray extension.
Notes & limitations
Designed for intraday data; accuracy depends on the feed’s volume granularity.
Large histories + small bins + delta ticks can be heavy; tune bin size, adaptive width, and delta max length for performance.
Timezone for anchors is set internally to Europe/Berlin.
Educational tool — not a signal generator.
Disclaimer
For educational and informational purposes only. Not financial advice.
Liquidity Zones - Joe v1This script lets you plot liquidity/order levels (similar to what you see on Bookmap) directly on your TradingView chart.
It is designed to help traders spot support/resistance levels where large limit orders sit and to visualize whether those liquidity pools are still active, already taken, or being replenished.
Key Features
Session-based
Works during a defined trading session.
Resets automatically at the first bar of the session.
Up to 8 Liquidity Zones, each of which includes:
Price level
Size (affects line thickness)
Status (Active, Taken, Re-Stocking, or Automatic).
Zone Statuses
Active → Untouched liquidity (potential support/resistance).
Taken → Liquidity consumed after price trades through it.
Re-Stocking → Level is being reloaded with fresh orders.
Automatic → Updates dynamically (switches to Taken when crossed, otherwise stays Active).
Visual Representation
Zones are drawn as horizontal lines.
Labels show price + size (e.g., 4010 (200k)).
Customizable line styles and colors:
Active = solid red
Taken = gray dashed
Re-Stocking = purple dotted
Dynamic Updates
Levels automatically update during the session.
If price crosses a zone → it’s marked as Taken.
Labels, line styles, and colors adjust live.
Line thickness = zone size ÷ 10 → visually represents liquidity strength.
How this indicator is Used
Upon market open, the order book tends to fill with limit orders. Using Bookmap, you can see where these orders are placed at each relative price point, along with their sizes. The most important ones to focus on are the larger levels, which are typically highlighted in reddish tones (depending on your Bookmap settings).
I then manually enter these levels into this indicator. It only takes a few seconds, and since there’s no direct way to connect TradingView to Bookmap, this method works as an effective workaround. Once entered, the levels will stay visible on your TradingView chart.
This seemingly simple script is very powerful and provides a strong edge. More often than not, price action gravitates toward these larger liquidity levels. Remember, the price of a security is influenced by market makers whose role is to fill orders and earn commissions on transactions. They have little interest in arbitrarily pushing price higher or lower; instead, their primary function is to guide price toward liquidity—where the large orders sit.
Of course, this is a general principle, and many other variables can affect price movement. Still, by keeping this concept in mind, you’ll often find yourself on the right side of the market.
Liquidity Spectrum Visualizer [BigBeluga] [Optimized]This version of Liquidity Spectrum Visualizer (© BigBeluga) has been optimized to improve execution speed and reduce script load times without altering the visual output or analytical logic of the original indicator. The key improvements focus on reducing computational complexity, eliminating redundant calculations, and minimizing expensive function calls within loops.
Core Optimization Changes
Single-Pass Volume Binning (O(N) instead of O(N×M))
Original: For each bin (100) the script iterated through every bar (lookback), resulting in ~20,000 operations.
Optimized: Each bar is processed once to directly calculate its bin index. This reduces the loop complexity from O(N×M) to O(N), where N = lookback.
Precomputed Min/Max Values
Original: array.min() and array.max() were repeatedly called inside loops, re-scanning arrays hundreds of times.
Optimized: Min and max are computed once before all calculations and reused, reducing computational overhead.
Reduced Label Creation
Original: Labels were created in every iteration, potentially hundreds of times per update — a very expensive operation in Pine.
Optimized: Only two labels are created for significant high and low levels, cutting down label calls by ~99%.
Efficient Resource Management
All boxes and lines are cleared once before re-rendering instead of being deleted individually inside nested loops.
Optional gradient rendering and POC drawing remain, but only after binning is complete.
Performance Evaluation
The most important change is the reduction of loop complexity — instead of performing around 20,000 iterations per update, the optimized version now processes only about 200. This reduces execution time and makes the indicator much lighter.
Function calls such as min() and max() are now calculated only once instead of hundreds of times, which removes unnecessary overhead. Likewise, label creation has been reduced from hundreds of labels per refresh to just two, further improving performance.
As a result, the average loading time of the indicator dropped from roughly 1.5–3 seconds to about 0.05–0.2 seconds on typical datasets.
🎯 Advanced ST Pro-X-J-Algo🎯 Advanced ICT Concepts Suite
A comprehensive visualization tool for Inner Circle Trader (ICT) market structure concepts with anti-repainting technology.
Overview
This indicator combines multiple ICT-based market structure concepts into a single, configurable tool. It provides visual identification of liquidity zones, order blocks, fair value gaps, and trading session boundaries. The indicator includes advanced anti-repainting controls to ensure historical accuracy.
Key Features
📦 Order Blocks
Identifies institutional order zones based on swing structure
Tracks mitigation levels with customizable violation methods
Adjustable overlap filtering and display limits
💧 Liquidity Analysis
Standard timeframe liquidity sweeps (buyside/sellside)
Higher timeframe liquidity levels with multi-timeframe analysis
Session-based liquidity zone classification
🔲 Fair Value Gaps (FVG)
Detects price inefficiencies based on 3-candle patterns
Inverse Fair Value Gap (iFVG) identification
Customizable gap size filtering and fill thresholds
🕐 Trading Sessions
Asian, London, and New York session visualization
Session overlap detection and highlighting
High/low level tracking with customizable time zones
⚙️ Anti-Repainting Controls
Toggle between live signals and confirmed signals
Adjustable confirmation periods (1-5 bars)
Reliable backtesting with historical accuracy
Configuration Options
Master Controls: Enable/disable individual components
Repainting Settings: Choose between speed vs reliability
Visual Customization: Colors, line styles, label sizes
Performance Optimization: Display limits and memory management
Important Notes
Educational Purpose: This indicator is designed for educational exploration of ICT concepts and market structure analysis.
Not Financial Advice: The signals and patterns displayed are interpretive tools, not trading recommendations.
Backtesting Disclaimer: Past performance of any signals does not predict future results. Always use proper risk management.
Confirmation Required: All signals should be confirmed with additional analysis and proper risk assessment before making trading decisions.
Best Practices
Use confirmed signal mode for backtesting accuracy
Combine with traditional technical analysis
Practice on demo accounts before live trading
Understand each component before using in combination
Maintain realistic expectations about signal effectiveness
Risk Warning: Trading involves substantial risk of loss. This indicator is an educational tool and should not be the sole basis for trading decisions.
Technical Requirements: Pine Script v6, TradingView Pro+ recommended for multi-timeframe features
This indicator is provided for educational purposes. The concepts displayed are interpretive frameworks popular in trading education but lack independent empirical validation. Always conduct your own analysis and risk assessment.
Liquidity Grab Strategy SuvorovLiquidity grab strategy
Description:
This indicator is built around the Liquidity Grab Strategy, which identifies and reacts to stop hunts and false breakouts at key swing highs and lows. It detects where liquidity is likely to be resting (e.g., above highs or below lows) and provides trade signals when that liquidity is taken and price begins to reverse.
Core Features:
Liquidity Detection: Automatically identifies and marks key swing highs and lows where stop-losses are likely to accumulate.
Entry Signals: Generates BUY/SELL signals after a liquidity sweep and a confirmed reversal — based on price action, volume, or structure shifts.
Stop Loss & Take Profit Zones: Visualizes stop-loss just beyond the liquidity wick and take-profit near the next major structure point, with configurable Risk/Reward ratios.
False Signal Filters: Optional filters based on volume spikes, RSI divergence, or market structure confirmation.
Multi-Timeframe Logic: Supports separate timeframes for structure detection and signal confirmation (e.g., structure on 1H, entry on 5m).
Maple Liquidity Hunter📌 Description for Maple Liquidity Hunter
Maple Liquidity Hunter – AI-Enhanced Volume Liquidity Detector
Maple Liquidity Hunter is an advanced volume-based indicator designed to uncover hidden liquidity zones in the market.
By dynamically analyzing price–volume interactions, it automatically highlights momentum shifts with adaptive color coding.
✨ Key Features
AI-inspired volume/price analysis model
Detects liquidity surges and potential absorption points
Auto-coloring of volume bars for quick visual recognition
Optional volume moving average filter for trend context
⚠️ Disclaimer: This tool is for educational and research purposes only. It does not guarantee future results. Always test thoroughly before live trading.
