Volume Profile - Density of Density [DAFE]Volume Profile - Density of Density
The Art & Science of Market Architecture: An AI-Enhanced Volume Profile & Order Flow Engine with a Revolutionary Visualization Core.
█ PHILOSOPHY: BEYOND THE PROFILE, INTO THE DENSITY
Standard Volume Profile shows you a one-dimensional story: where volume was traded. It shows you the first layer of density. But this is like looking at a galaxy and only seeing the stars, completely missing the gravitational forces, the dark matter, and the nebulae that give it structure.
Volume Profile - Density of Density (VP-DoD) is a revolutionary leap forward. It was engineered to analyze the second order of market data: the properties of the density itself . We don't just ask "Where did volume trade?" We ask " Why did it trade there? What was the character of that volume? What is the statistical significance of its shape? What is the probability of what happens next?"
This is a complete, institutional-grade analytical framework built on the DAFE principle: Data Analysis For Execution . It fuses a higher-timeframe structural engine, a proprietary microstructure delta engine, and a Bayesian AI into a single, cohesive intelligence system. It is designed to transform your chart from a flat, lagging record of the past into a living, three-dimensional map of market structure and intention.
█ WHAT MAKES VP-DoD ULTIMATE UNLIKE ANY OTHER PROFILE TOOL?
This is not just another volume profile script. It stands apart due to a suite of proprietary features previously unseen on this platform.
Higher Timeframe (HTF) Core: While other profiles are trapped by the noise of your current chart, VP-DoD builds its foundation on a higher timeframe of your choice (e.g., Daily data on a 15m chart). This is its greatest strength. It filters out intraday noise to reveal the true, macro architectural levels where institutions have built their positions.
Microstructure Hybrid Delta Engine: Standard delta is primitive. Our engine provides a far more accurate picture of order flow by simulating tick data and analyzing the battle between candle bodies (aggression) and wicks (absorption). It sees the hidden story inside the volume.
Bayesian AI Confidence Model: This is not a simple weighted score. VP-DoD incorporates a genuine Bayesian inference model. It starts with a neutral "belief" about the market and continuously updates its Bullish/Bearish Confidence percentage based on new evidence from delta, POC velocity, and price action. It thinks like a professional quant, providing you with a real-time statistical edge.
Advanced Statistical Analysis: It calculates metrics found nowhere else, such as Profile Entropy (a measure of market disorder) and Volatility Skew (a measure of fear vs. greed from the derivatives market), and normalizes them with Z-Scores for universal applicability.
Revolutionary Visualization Engine: Data should be intuitive and beautiful. VP-DoD features 14 distinct, animated, and theme-aware rendering modes . From "Nebula Plasma" and "Liquid Metal" to "DNA Helix" and "Constellation Map," you can transform raw data into interactive data art, allowing you to perceive market structure in a way that resonates with your unique analytical style.
█ THE ART OF ANALYSIS: A REVOLUTIONARY VISUALIZATION CORE
Data is useless if it isn't intuitive. VP-DoD shatters the mold of boring, static indicators with a state-of-the-art visualization engine. This is where data analysis becomes data art.
The Profile Itself: 14 Modes of Perception
Choose how you want to see the market's architecture:
Nebula Plasma & Quantum Matrix: Futuristic, cyberpunk aesthetics with vibrant glow effects that make HVNs and POCs pulse with energy.
Thermal Vision & Heat Shimmer: Renders the profile as a heatmap, instantly drawing your eye to the "hottest" zones of institutional liquidity.
Liquid Metal & Crystalline: Creates a tangible, almost physical representation of volume with metallic sheens, animated light flows, and faceted structures.
3D Depth Map & Prismatic Refraction: Uses layering and color channel separation to create a stunning illusion of depth, separating the profile into its core components.
Particle Field & Constellation Map: Abstract, beautiful data art modes that represent volume as animated particles or glowing stars, connecting major nodes like celestial bodies.
DNA Helix & Magnetic Field: Dynamic, animated modes that visualize the forces of attraction and repulsion around the POC and Value Area, representing the market's underlying code.
The POC & Value Area: A Living, Breathing Structure
The POC and VA are no longer static lines. They are a dynamic, interactive system designed for immediate contextual awareness:
Multi-Layered Glow Effects: The POC and VA lines are rendered with multiple layers of glowing, pulsating light, giving them a vibrant, three-dimensional presence on your chart.
Dynamic Labels & Badges: Each key level (POC, VAH, VAL) features an advanced label block showing not just the price, but the real-time distance from the current price, and a status badge (e.g., "▲ ABOVE", "◆ INSIDE") that changes color and text based on price interaction.
Intelligent Color Adaptation: The color of the VAH and VAL lines dynamically changes. A VAH line will glow bright green when price is breaking above it, but will appear dim and neutral when price is far below it, providing instant visual cues about market context.
█ ACTIONABLE INTELLIGENCE: THE SIGNAL & ALERT SYSTEM
VP-DoD is not just an analytical tool; it's a complete trading framework with a built-in, context-aware signal system.
Absorption/Distribution Signals (🏦): The "Whale Signal." Triggers when price and delta are in stark divergence, indicating large passive orders are absorbing the market—a classic institutional maneuver.
Coiling Signals (⚡): A high-probability setup that alerts you when the market is compressing (VA contracting, low entropy), storing energy for a significant breakout.
POC Shift & VA Breakout Signals: Trend-initiation signals that fire when value is migrating and the market breaks out of its established balance area with conviction.
Delta Extreme Signals: Contrarian reversal signals that detect capitulation at the extremes of buying or selling pressure, often marking key turning points.
█ THE DASHBOARD: YOUR INSTITUTIONAL COMMAND CENTER
The professional-grade dashboard provides a real-time, comprehensive overview of the market's hidden state.
Market Regime: Instantly know if the market is BALANCED, COILING, TRENDING , or VOLATILE .
Advanced Metrics: Monitor Entropy (disorder), Volatility Skew (fear/greed), and a composite Risk Score .
Institutional Score: See the calculated Liquidity Score and Conviction Level , grading the quality of the current market structure.
Bayesian AI: The crown jewel. See the real-time, AI-calculated Bull vs. Bear Confidence percentages, giving you a statistical edge on the probable direction of the next move.
Breakout Gauge: A forward-looking metric that calculates the Breakout Probability and its likely Bias (Bullish/Bearish).
█ DEVELOPMENT PHILOSOPHY
VP-DoD Ultimate was created out of a passion for revealing the hidden architecture of the market. We believe that the most profound truths are found at the intersection of rigorous science and intuitive art. This tool is the culmination of thousands of hours of research into market microstructure, statistical analysis, and data visualization. It is for the trader who is no longer satisfied with lagging indicators and seeks a deeper, more contextual understanding of the market auction. It is for the trader who believes that analysis should be not only effective but also beautiful.
VP-DoD Ultimate is designed to help you ride the trend with confidence, but more importantly, to give you the data-driven intelligence to anticipate that final, critical bend.
█ DISCLAIMER AND BEST PRACTICES
CONTEXT IS KING: This is an advanced contextual tool, not a simple "buy/sell" signal indicator. Use its intelligence to frame your trades within your own strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The signals and levels provided are based on historical data and statistical probability, not guarantees.
HTF IS YOUR GUIDE: For the highest probability setups, use the HTF feature (e.g., 240m or Daily) to identify macro structure. Then, execute trades on a lower timeframe based on interactions with these key macro levels.
ALIGN WITH THE REGIME: Pay close attention to the "Regime" and "Entropy" readouts on the dashboard. Trading a breakout strategy during a high-entropy "RANGING" regime is a low-probability endeavor. Align your strategy with the market's current state.
"The trend is your friend, except at the end where it bends."
— Ed Seykota, Market Wizard
Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Perfil de volumen
Volume ProfileVolume Profile — Daily & Weekly Levels
This indicator plots session-based Volume Profile levels directly on the chart, focusing on Daily and Weekly structures.
It is designed to help visualize areas where trading activity was most concentrated during the current and previous periods.
The script calculates and displays the following levels:
POC (Point of Control) — price level with the highest traded volume
VAH (Value Area High) — upper boundary of the value area
VAL (Value Area Low) — lower boundary of the value area
Features
Today’s Volume Profile
POC, VAH, and VAL updated in real time during the current trading day
Yesterday’s Volume Profile
Previous day’s POC, VAH, and VAL extended forward as reference levels
Current Weekly Volume Profile
Live weekly POC, VAH, and VAL
Previous Weekly Volume Profile
Last week’s completed POC, VAH, and VAL
Configurable Inputs
Adjustable number of volume bins (rows)
Custom value area percentage
Toggle visibility for daily, yesterday, weekly, and previous weekly levels
Optional labels with configurable horizontal offset
How it works
The indicator builds a custom volume distribution by aggregating volume across price bins within each session (daily or weekly).
From this distribution, it identifies:
The price level with maximum volume (POC)
The value area surrounding the POC based on the selected percentage
All calculations are performed locally using historical bar data, without external data sources.
Alerts
An alert condition is included that triggers when price crosses any visible Volume Profile level (POC, VAH, or VAL).
Notes
This indicator is designed for market structure and volume analysis.
Delta Microstructure AnalysisDelta Microstructure Analysis
Market microstructure analysis using footprint data for divergence, exhaustion, absorption, and trapped trader detection
Overview
Delta Microstructure Analysis is an order flow indicator that uses TradingView's footprint data to identify market conditions including divergences, exhaustion patterns, absorption zones, and trapped trader scenarios. The indicator calculates delta at each bar and tracks cumulative delta to identify potential reversals and continuations.
Key Features
Footprint Data Integration: Uses TradingView's built-in footprint data for accurate buy/sell volume delta calculation. Falls back to synthetic delta calculation when footprint data is unavailable.
Adaptive Tick Calculation: Automatically adjusts footprint tick size based on asset type and timeframe. Baseline values: crypto (200), forex (10), stocks (5), indices/futures (1), with timeframe scaling.
Cumulative Volume Delta (CVD): Tracks cumulative delta with reset options (None, Daily, Fixed Bars) to identify overall buying/selling pressure trends.
Divergence Detection: Identifies bullish and bearish divergences between price action and cumulative delta using configurable pivot strength (3-20 bars).
Exhaustion Pattern Recognition: Detects buying and selling exhaustion when delta exceeds configurable multiplier (2.0-10.0x) of average delta over lookback period (10-100 bars).
Absorption Zone Analysis: Identifies areas where aggressive orders are absorbed by resting liquidity, indicating potential support/resistance zones.
Trapped Trader Detection: Recognizes scenarios with strong initial momentum followed by sharp reversals, suggesting trapped positions.
Visual Labeling System: Displays signals as monospace labels (DIV↑/DIV↓, EXH↑/EXH↓, ABS↑/ABS↓, TRAP↑/TRAP↓) above/below candles.
Info Table Display: Shows current CVD, delta, average delta, data source, and active signals in a monospace-formatted table.
Alert System: Individual alerts for each signal type (divergences, exhaustion, absorption, trapped traders).
How It Works
Footprint Data Request: The indicator requests footprint data using adaptive tick sizing. If unavailable, uses synthetic delta calculation based on candle characteristics.
Delta Calculation: For footprint data, uses fp.delta() function. For synthetic delta, considers body size, wick analysis, and volume characteristics.
Cumulative Delta Tracking: Maintains running cumulative delta that resets based on selected mode (daily session changes or fixed bar intervals).
Pivot Detection: Uses configurable pivot strength to identify significant highs and lows in both price and cumulative delta.
Divergence Analysis: Compares price pivots with cumulative delta pivots. Bullish divergence: lower price lows with higher delta lows. Bearish divergence: higher price highs with lower delta highs.
Exhaustion Detection: Calculates average absolute delta over lookback period and identifies when current delta exceeds multiplier threshold.
Absorption Identification: Analyzes footprint patterns to detect when aggressive orders are met with sufficient resting liquidity.
Trapped Trader Recognition: Identifies strong momentum followed by sharp reversals using proprietary pattern recognition.
Signal Display: Shows signals as labels on chart and summarizes in info table with current market conditions.
Use Cases
Divergence Trading: Use divergence signals to identify potential trend reversals before they appear in price action.
Exhaustion Monitoring: Identify when buying or selling pressure may be exhausted, suggesting potential reversals.
Support/Resistance Levels: Use absorption zones to identify key price levels where institutional activity occurs.
Risk Management: Use trapped trader signals to anticipate sharp reversals and adjust position sizing.
Market Structure Analysis: Understand underlying order flow dynamics driving price movements.
Confirmation Tool: Combine with other technical indicators to confirm signals and improve trade probability.
Settings
Footprint Settings:
Use Footprint Data: Toggle between footprint and synthetic delta
Tick Size Mode: Auto (adaptive) or Manual tick sizing
Tick Density Multiplier: Adjusts price bucket size in footprint data
Manual Footprint Ticks: Custom tick size for Manual mode
CVD Settings:
CVD Reset Mode: None, Daily, or Fixed Bars
Reset Every N Bars: Number of bars between resets (10-1000)
Divergence Settings:
Pivot Strength: Bars required for pivot detection (3-20)
Show Divergence Lines: Toggle line display
Bullish/Bearish Divergence Color: Custom colors
Divergence Line Width: Line thickness (1-5)
Exhaustion Settings:
Delta Multiplier: Threshold multiplier (2.0-10.0)
Lookback for Avg Delta: Period for average calculation (10-100)
Show Exhaustion Markers: Toggle signal display
Display Options:
Show Info Table: Toggle table display
Table Position: Choose table location on chart
Table Styling:
Background, text, and border colors
Header styling options
Label Styling:
Label text color
Alert Settings:
Individual toggles for each signal type
Technical Notes
The indicator uses TradingView's footprint functions (request.footprint(), fp.delta()) for order flow analysis.
Adaptive tick calculation converts all timeframes to minutes for consistent scaling across chart intervals.
Synthetic delta calculation uses body size (70% weight), wick analysis, and body-to-range ratio for fallback when footprint data unavailable.
The indicator uses barstate.isconfirmed for calculations to prevent repainting.
All text displays use monospace font for consistent readability.
Table displays current CVD, delta, average delta, data source, and active signals in real-time.
Best Practices
Use on symbols where footprint data is available for most accurate analysis.
Combine divergence signals with price action for higher probability setups.
Monitor exhaustion signals in context of overall trend direction.
Pay attention to absorption zones at key technical levels.
Use trapped trader signals as early warning for potential reversals.
Adjust pivot strength based on trading timeframe (lower for shorter timeframes).
Consider data source indicator - synthetic delta may be less reliable than footprint data.
Set up alerts for preferred signal types when monitoring multiple symbols.
This indicator analyzes market microstructure using footprint data to identify divergences, exhaustion, absorption, and trapped trader patterns.
Time-Segmented RVOLTime-Segmented RVOL
The Mathematical Flaw in Standard RVOL
Most Relative Volume (RVOL) indicators are built on a "Linear Scaling" hypothesis. They take the daily average and divide it by the number of bars in the day. This fails to account for the "Volume Smile"—the natural tendency for volume to be heavy at the open/close and dry up during mid-day. This leads to "False Highs" every morning and "False Lows" during lunch.
The Solution: Time-Slot Memory
This script uses a high-performance array to create a 20-Day Memory for every specific minute of the trading day.
Contextual Comparison: It compares the current 10:30 AM bar only to the previous twenty 10:30 AM bars.
Pre-Market Precision: Because it compares 4:00 AM volume to historical 4:00 AM volume, it can spot "early-bird" runners hours before the opening bell, identifying unusual interest when total volume is still low.
The Coherent Momentum Tiers
We have organized the color logic into four distinct, logical tiers to assist in rapid decision-making:
Cold (Blue): RVOL < 1.0 . Volume is below the historical average for this specific time slot.
Building (Green): RVOL 1.0 – 3.0. Active participation. The stock is "Awake" and moving with healthy, sustainable interest.
High Intensity (Yellow): RVOL 3.0 – 5.0. Extreme interest. The trade is becoming "crowded"; look for increased volatility.
Parabolic/Super High (Pink): RVOL > 5.0. Massive abnormality (5x+ normal volume). Common in small-cap "pumpers" and major institutional news events.
Trading Strategy: Spotting the "In-Play" Runner
The Awake Signal: Watch for a transition from Blue to Green. This confirms the ticker is "in-play" relative to its own 20-day history.
The Breakout: Look for Yellow or Pink bars accompanied by a price breakout from a consolidation zone. High RVOL confirms the move has real conviction.
Exhaustion (White X): The script includes built-in divergence tracking. If the price makes a new high but the RVOL bars are shrinking, a "White X" will appear. This suggests "Volume Exhaustion"—the fuel is running out.
Settings
Lookback (Days): Default is 20. This acts as a "Truth Filter" to ensure the baseline remains grounded in long-term reality rather than chasing short-term noise.
Custom Thresholds: Fully adjustable levels for the Green, Yellow, and Pink tiers to suit different asset classes (Small-caps vs. Mega-caps).
Smart Range ProfilerSmart Market Structure Viewer: Gaps, Swings & Dealing Ranges
Overview
This script is a comprehensive technical analysis viewer designed to provide a clear and objective visualization of market structure. By mapping liquidity gaps, multi-tier swing points, and dynamic dealing ranges, it helps traders identify key institutional levels and price action context without the clutter of predictive signals.
Key Features
1. Gap Analysis (FVG & Breakaway)
The tool identifies and tracks price imbalances to help visualize market inefficiency:
Fair Value Gaps (FVG): Highlights standard price imbalances.
Breakaway Gaps: Specifically marks gaps where the candle close remains outside the previous range, indicating strong directional commitment.
Sophisticated Mitigation: Users can choose how gaps are cleared from the chart (e.g., when price touches, leaves, or completely covers the gap), ensuring only relevant imbalances are displayed.
2. Hierarchical Swing Points
To help distinguish between minor fluctuations and major trend shifts, the viewer categorizes market structure into three hierarchical levels:
Short-Term (ST): Localized swing points identified in relation to gap formations.
Intermediate-Term (IT): Structural points derived from the relationship between short-term swings.
Long-Term (LT): High-level structural points that define the broader market framework.
3. Dynamic Dealing Range & Profiling
The script calculates and projects the current "Dealing Range" based on the selected structural hierarchy (ST, IT, or LT).
Range Geometry: Displays the Range Top, Range Bottom, and the Equilibrium (50%) level.
MTP (Most Traded Price): A volume-based profile indicating the price level with the highest trading activity within the current range.
MTS (Most Time Spent): A time-based profile highlighting the price level where the market spent the most duration.
How to use this Viewer
Structural Context: Use the multi-tier swings to identify the current market phase (Bullish/Bearish) and seniority of the trend.
Imbalance Tracking: Monitor how price interacts with Fair Value and Breakaway gaps to gauge the strength of a move.
Premium vs. Discount: Utilize the Dealing Range Equilibrium in conjunction with MTP/MTS levels to identify where price sits relative to its value distribution.
ZigZag Volume Profile [Honestcowboy]The ZigZag Volume Profile Indicator is a combination of 2 very popular trading indicators, the volume profile and zigzag indicator. Instead of using predetermined sessions like traditional volume profile analysis. This indicator expands on zigzag indicators "legs" and draws a volume profile inside each zigzag leg.
What is a Volume Profile?
"Technical analysis tool showing trading volume at specific price levels, creating a horizontal histogram on the side of a chart to reveal areas of high buying/selling interest, unlike traditional volume bars showing volume over time. Key elements include the Point of Control (POC) for most traded price, the Value Area (VAH/VAL), identifying crucial support/resistance, and analyzing profile shapes (like D, B, P) to understand market balance and potential price targets, used by professionals to spot liquidity and market structure."
Key Differences
Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms.
Does not take sessions into account instead using zigzag legs
🟦 CALCULATION
The zigzag volume profile first builds a standard zigzag indicator to find structure in the market. Using pivot points and a minimum % price move threshhold.
Then once it knows the zigzags it will use each leg as a time window to calculate a volume profile inside.
🔹Coloring each column:
The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation.
🟦 USAGE
The idea behind this indicator is, if you look at markets as different legs (moves) going in a zigzag pattern you might want to look deeper inside your previous moves and see where the actual liquidity/volume was during that move. The hypothesis here is you build trade ideas based on zigzags but then use the volume profiles.
Since volume and market structure are very well known concepts to discretionary traders I'm hoping this indicator might give some different perspective on this relation and help people create a trading approach based on it. Here's some quick cherry picked examples, just as a proof of concept:
🟦 SETTINGS
🔹ZIGZAG SETTINGS
Price Deviotion % : This is the minimum price move in % term from last pivot price needs to move to form a new pivot for the zigzag.
Pivot Legs (Left/Right): The amount of bars a high or a low needs to be higher/lower than to the left and right of the bar. 10 By default to create medium term zigzag
🔹Volume Profile
Profile Rows: The amount of rows in Y axis the zigzag is going to be sliced into to create the volume profile. Higher number is more detailed volume profile but also uses more box objects which is maxed at 500. 25 by default
Profiles to Display: The amount of volume profiles the indicator will draw back in time. Higher number means more history but also longer loading time. 20 by default
🔹Visual Settings
This part is pretty self explanatory and you have can manually select the colors used to create the volume profile. Refer back the the explanation about the "🔹coloring each column" section.
ImbalanceDetects and visualizes price imbalances across multiple higher timeframes (Monthly, Weekly, Daily, 4H, 1H, 15m, 5m).
The script draws color-coded bullish and bearish imbalance boxes with dotted midpoint lines, supports extending boxes to the right, optional reduction (shrink on partial fill), and automatic aging/removal of old zones — making it easy to spot persistent supply/demand imbalances at a glance.
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Session Dominance Profile [Pointalgo]Session Dominance Profile is a visual volume-distribution tool that shows which global trading session (Asia, London, or New York) dominates price activity across different price levels within a defined historical range.
The indicator builds a horizontal volume profile using candle close prices and volume, then classifies each price level by the session that contributed the highest volume.
How It Works :
The script analyzes a configurable lookback period
Price range is divided into multiple horizontal bins
Volume is accumulated per price level
Each bin is split into three session buckets:
Asia Session (Yellow)
London Session (Blue)
New York Session (Red)
The session with the highest volume at that price level determines the color
This results in a Session-based Dominance Profile, helping traders visually identify:
Where major sessions were most active
Session-specific acceptance or rejection zones
Potential intraday and swing reaction areas
Practical Use Cases :
Identify price levels dominated by a specific session
Understand session rotation and participation
Combine with:
Market structure
Support & resistance
VWAP or moving averages
Useful for intraday, scalping, and swing trading
Inputs Explained:
Lookback – Number of historical bars used to build the profile
Resolution – Number of price bins (higher = more detail)
Fixed Width (Bars) – Maximum horizontal width of the profile
Offset (Bars) – Distance of the profile from the current bar
Profile Direction – Left-to-Right or Right-to-Left rendering
Session Time Reference:
All sessions are calculated using UTC time.
Important Notes:
This indicator is visual and analytical only
It does not generate buy or sell signals
No repainting: the profile is calculated on the last bar only
Designed for educational and research purposes
Disclaimer:
This script does not provide financial advice.
Trading involves risk, and past volume behavior does not guarantee future results.
Always confirm signals using additional analysis and proper risk management.
Volume Profile Visible Range (VPVR) with POC PriceThis script visualizes volume distribution for the bars currently visible on your chart, helping you identify key liquidity zones and high-traffic price levels.
Main Features:
・Dynamic Range: Recalculates automatically as you zoom or scroll.
・POC Price Label: Highlights the Point of Control (highest volume) with a clear price tag.
・Value Area (VA): Visually separates the most active trading zone (default 70%).
・Highly Flexible: Choose your preferred layout (Left or Right) and colors.
How to use:
1. Spot S/R Levels: Look for long bars (High Volume Nodes); these often act as strong support or resistance.
2. Monitor the POC: The Point of Control is a price magnet. Watch for reactions or retests at this level.
3. Low Volume Gaps: Price tends to move quickly through areas with very short volume bars.
Auction Context Engine ( Value Area, VWAP & Regime)📌 Indicator Name
Auction Context Engine (Value Area, VWAP & Regime)
Short name: ACE Context
🧠 Description
Auction Context Engine (ACE) is a professional market context and structure indicator based on Auction Market Theory.It is designed to help traders understand where the market is positioned, not to generate trade signals.
ACE focuses on:
• Developing Value Area (VAH / VAL)
• Developing Point of Control (POC)
• Session VWAP positioning
• Volatility regime expansion
• Opening Range context
• Failed auction / trap detection
• Market bias and environment quality
This indicator provides context only and is intended to be used alongside a separate execution strategy or system.
🎯 What This Indicator Is
✔ A context engine
✔ A market structure filter
✔ A bias alignment tool
✔ A regime and environment classifier
❌ What This Indicator Is NOT
✘ Not a signal generator
✘ Not a buy/sell system
✘ Not a strategy
✘ Not a profitability promise
📊 How To Use
Use ACE to answer:
• Is price accepting or rejecting value?
• Is the market in balance or expansion?
• Is VWAP supporting or opposing price?
• Is this a breakout environment or a trap?
• Is volatility expanding?
• Is the market trending or ranging?
You may then use your own execution strategy aligned with this context.
🟢 Core Components
Developing Value Area
• VAH / VAL dynamically update through the session
• POC tracks highest traded volume area
VWAP Position
• Above VWAP = bullish bias
• Below VWAP = bearish bias
Opening Range Context
• Detects breakouts or balance after session open
Volatility Regime
• Identifies expansion vs normal conditions
Failed Auction Detection
• Highlights trap conditions near value extremes
Market Quality
• Strong / Mixed / Weak environment classification
Context Table
• Clean 1-column vertical dashboard with color-coded bias
🔵 Visual Elements
• Developing VAH, VAL, POC lines
• Session VWAP
• Small context dots when environment turns READY
• Compact professional context table
⚙️ Settings
• Value Area bin size
• Value area percentage
• Opening range duration
• Regime expansion factor
• Line colors and thickness
• Context table ON/OFF
• Context dots ON/OFF
🧩 Best Use Case
This indicator is ideal for:
• Intraday trading
• Index futures and equities
• Options context filtering
• Trend / range regime identification
• Professional discretionary traders
⚠️ Disclaimer
This script is provided for educational and informational purposes only.It does not constitute financial or investment advice.Trading involves risk. Always use proper risk management.
Volume MarkersMarks POC, VAL, and VAH over a selected period of time and extends a horizontal line from each marker into the future for a selected period of time
Volume Profile - POC, VAH, VAL with ExtensionsMarks POC, VAH and VAL over selected time periods and extends the marker into the future for a selected period
[Greeny] RTH Only Naked VPOCWhat it does
Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches.
Key Features
One VPOC per trading day calculated from entire RTH session volume profile
RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight
Works on all timeframes - daily, hourly, or any chart timeframe
Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data)
Visual markers - small dash on origin bar shows where each VPOC was, even after being hit
Visual Guide
Yellow dashed line - Naked VPOC (not yet touched during RTH)
White dashed line - Hit VPOC (was touched during RTH)
Small dash on candle - POC origin marker
Settings
Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers.
RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time.
Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average).
Best For
ES/MES, NQ/MNQ futures traders
Mean reversion strategies using VPOC as support/resistance
Auction Market Theory practitioners
Anyone wanting clean RTH-only volume profile levels
Note on Contract Rollovers
When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Dynamic Supports + Volume Profile (Smart Time Selector)This indicator is an "All-in-One" tool designed to simplify Market Structure and Volume analysis on higher timeframes (especially Daily charts).
Its main innovation is the **Unique Period Selector**, which automatically adjusts 5 internal parameters (tolerance, pivot sensitivity, resolution, and historical depth) with a single click.
**🛠️ MAIN FEATURES:**
1. **Automatic Engine (1-5 Years):**
* Forget about manually setting pivot lengths or "Lookback".
* Select **"1 Year"**: The script scans for fast pivots and recent volume for *Swing Trading*.
* Select **"5 Years"**: The script filters noise and shows only "Rock-Solid" structures (Historical S/R) for *Long Term Investing*.
2. **"Merged" Support & Resistance (S/R):**
* The script detects Pivot Highs/Lows.
* **Fusion Logic:** If price bounces multiple times in the same zone (within calculated tolerance), the script updates the existing line instead of drawing a new one. It extends the line and counts the touches (e.g., "S (4)" means a Support validated 4 times).
* **Clean Chart:** Avoids visual noise.
3. **Lateral Volume Profile (VP):**
* Displays volume distribution to the right of the current price.
* **Orange POC (Point of Control):** Marks the exact price level with the highest trading volume in the selected period.
**🚀 HOW TO USE (STRATEGY):**
Best used on the **Daily Timeframe (1D)**:
* **Scenario 1: Mean Reversion**
* If price moves far from the **Orange POC**, look for it to act as a magnet.
* Enter when price touches a **Green Line (Support)** that aligns with a high volume node.
* **Scenario 2: Breakout**
* If price breaks a **Red Line (Resistance)** aggressively and the volume above is thin (low volume nodes), the move tends to be fast due to lack of friction.
* **Scenario 3: Multi-Timeframe Analysis**
* Use "5 Years" to mark your long-term zones.
* Switch to "1 Year" for tactical entries.
**🎨 VISUAL SETTINGS:**
* **Green Lines:** Demand Zones (Supports).
* **Red Lines:** Supply Zones (Resistances).
* **Dotted Orange Line:** POC (Fair Value).
* **Blue Bars:** Volume Profile.
**Disclaimer / Descargo:**
This script is designed for educational and analytical purposes on the daily timeframe. Use it to identify zones of interest, not as automatic buy/sell signals.
Volume Cluster Profile [VCP] (Zeiierman)█ Overview
Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments.
Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print.
On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves.
█ How It Works
⚪ 1) Profile Construction (Volume-by-Price)
VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment):
Range Scan
The script finds the full min → max price range inside the window.
Bin the Range
That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation.
Accumulate Volume into Bins
For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin.
float step = (maxPrice - minPrice) / binsCount
for i = 0 to barsToUse - 1
int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1)
volBins += volume
Result: volBins becomes a standard volume-by-price histogram (close-based binning).
⚪ 2) Cluster Detection (Finding Dominant Peaks)
Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”:
Local Peak Test
A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right).
Filter Weak Peaks
Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise.
bool isPeak = v >= left and v >= right
if isPeak and v > avgVol
array.push(clusterIdxs, b)
Keep the Best Peaks Only
If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers
Result: clusterIdxs = the set of dominant profile peaks (cluster centers).
⚪ 3) Cluster Enhancement (Gaussian Spread Model)
This is what makes VCP different from a raw profile.
Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve:
Distance from each bin to each cluster center is computed in “bin units”
A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly.
Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones.
enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma))
volBinsAI := enhanced / szClFinal
Result: volBinsAI = the cluster-enhanced volume value for each bin.
In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram.
⚪ 4) POC from the Enhanced Profile
After enhancement:
The bin with the highest volBinsAI becomes the POC (Point of Control)
POC is plotted at the midpoint price of that bin
if volBinsAI > maxVol
maxVol := volBinsAI , pocBin := b
So the POC reflects the cluster-enhanced profile rather than the raw histogram.
█ How to Use
⚪ Read Cluster Structure (Default = 2 Clusters)
By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly.
⚪ When TWO Clusters Appear
When VCP detects two distinct clusters, it usually indicates:
Two competing areas of value
Ongoing auction between higher and lower acceptance zones
Treat each cluster as an acceptance zone
Expect slower price action and rotation inside clusters
Expect faster movement in the low-volume space between clusters
Use cluster-to-cluster movement as:
rotation targets
range boundaries
acceptance vs rejection tests
Typical behavior:
Price enters a cluster → stalls, consolidates, rotates
Price rejects at cluster edge → moves toward the opposite cluster
⚪ When ONLY ONE Cluster Appears
If VCP detects only one cluster, or if two clusters visually merge into one:
Volume is no longer split
The market has formed a single dominant value area
Price consensus is strong
Treat the cluster as the primary value anchor
Expect pullbacks and reactions around this zone
Bias becomes directional:
Above the cluster → bullish context
Below the cluster → bearish context
Inside the cluster → balance/chop
This structure often appears during clean trends or stable equilibria.
⚪ VA/LV Extensions
VCP projects two zones from the end of the most recent swing segment:
VA extension = the segment’s highest enhanced-volume bin (dominant zone)
LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone)
A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value.
█ Settings
Cluster Volume Profile
Lookback Bars – how many recent bars build the current profile
Price Bins – profile resolution (more bins = more detail, heavier CPU)
Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence
Max Cluster Centers – cap on detected peaks used in enhancement
Historical Swing Cluster Volume Profile
Pivot Length – swing sensitivity (larger = fewer, broader segments)
Max Profiles – how many historical segments to retain
Profile Width – thickness of each historical profile
High & Low Value Area
Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction
Overview
Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis.
Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow.
This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance.
Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels.
Conceptual Framework
Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns.
Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure.
Three core principles guide the design:
Zone placement should correspond to cumulative delta extremes, not price pivots alone.
Zone thickness must adapt to current market volatility conditions.
Flow composition context reveals whether zones formed under accumulation or distribution.
This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries.
Theoretical Foundation
The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis.
A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting.
Four internal systems operate in tandem:
Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement.
Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement.
Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors.
Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context.
This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations.
How It Works
Delta Reaction Zones evaluates price through a sequence of flow-aware processes:
Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure.
Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time.
Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor.
Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions.
Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction.
Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally.
Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions.
Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity.
Together, these elements form a continuously updating supply and demand framework anchored in order flow reality.
Interpretation
Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries:
Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred.
Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated.
Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage.
BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity.
Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context.
Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets.
Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes.
Flow composition, volatility context, and delta magnitude outweigh isolated price reactions.
Signal Logic & Visual Cues
Delta Reaction Zones presents two primary interaction signals:
Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest.
Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure.
Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring.
Strategy Integration
Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches:
Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred.
Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones.
Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them.
Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance.
Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers.
Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision.
Technical Implementation Details
Core Engine : Signed volume delta proxy with EMA smoothing
Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection
Zone Construction : ATR-scaled thickness around pivot anchors
Flow Analysis : Positive/negative decomposition over configurable impulse window
Visualization : Gradient-filled zones with embedded flow statistics and percentage segments
Signal Logic : Midline crossover detection with breach-based invalidation
Merge System : Proximity-based consolidation with weighted flow blending
Performance Profile : Optimized for real-time execution with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure flow zones for scalping and short-term reversals
15 - 60 min : Intraday supply/demand identification with flow context
4H - Daily : Swing-level reaction zones with macro flow characterization
Suggested Baseline Configuration:
Delta Smoothing Length : 3
Pivot Length : 12
Pivot Source : Cumulative Delta
Impulse Window : 100
ATR Length : 14
ATR Multiplier : 0.35 (reduce for lower timeframes)
Maximum Zones : 8
Merge Overlapping Zones : Enabled
Merge Gap : 20 ticks
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes.
Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation.
Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation.
Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity.
Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition.
Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume and order flow characteristics
Instruments where delta proxy correlates well with actual tape reading
Mean-reversion strategies targeting flow exhaustion zones
Trend continuation entries at zones aligned with dominant flow direction
Reduced Effectiveness:
Extremely low volume environments where delta proxy becomes unreliable
News-driven or gapped markets with discontinuous flow
Highly manipulated or illiquid instruments with erratic volume patterns
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis
Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance
Context Awareness : Consider whether current market regime matches zone formation conditions
Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections
Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries
Disclaimer
Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
Weekly Levels: High/Low/Mid/POCThis is a simple indicator that plots each week (up to 4 weeks) with the high,low, mid point and a customizable POC. Weeks can be toggled on and off and it has a developing level for the current week.
I find these levels valuable in day trading and thought automating them would be ideal.
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection
This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action.
Key Features & Strengths
True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle.
Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations.
Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context.
Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers.
Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction.
How to Use It as an Orderflow Tool
Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time.
Small (🞉) | Moderate excess volume: early interest, probing, or building positions.
Medium (⏣) | Strong spike: increasing conviction, potential momentum shift.
Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption.
Why Price Often Reverses at These Levels
Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones:
Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders.
Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses.
Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact.
The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic.
Practical Analysis Tips
Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively.
Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions.
Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions.
Use Offset (-3 to +3) to shift markers away from current price for clearer viewing.
Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles.
Recommended Pairings
This is designed as a pure orderflow overlay to be layered with your existing setup:
Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL)
Market Structure tools (swing points, order blocks, fair value gaps)
Trend filters (EMAs, SuperTrend, higher-TF bias)
Momentum oscillators for timing confluence
Best Suited For
Scalping & day trading (1–15 min charts with 5–30S lower TF)
Swing trading entries (1H–4H charts with 1–5 min lower TF)
High-liquidity markets: crypto perpetuals, forex majors, volatile stocks
Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
Black-Scholes Gamma Scalping Strategy# Black-Scholes Gamma Scalping Strategy
## Overview
This strategy applies options market-making principles to spot/futures trading using the Black-Scholes pricing model. It simulates the behavior of a delta-hedged straddle position, generating buy and sell signals based on how a market maker would hedge their gamma exposure.
---
## The Concept: Gamma Scalping
Professional options traders who hold long straddles (long call + long put at the same strike) profit when the underlying moves significantly in either direction. Here's why:
- A straddle has **positive gamma**, meaning its delta increases as price rises and decreases as price falls
- To stay delta-neutral, traders must **buy after dips** and **sell after rallies**
- If **realized volatility > implied volatility**, the profits from these hedging trades exceed the daily theta (time decay) cost
This strategy captures that edge by:
1. Calculating theoretical Greeks using Black-Scholes
2. Monitoring when delta deviates from neutral
3. Trading to "hedge" back to neutral — buying weakness, selling strength
---
## Black-Scholes Greeks Calculated
| Greek | Symbol | What It Measures |
|-------|--------|------------------|
| Delta | Δ | Directional exposure |
| Gamma | Γ | Rate of delta change |
| Vega | ν | Sensitivity to volatility |
| Theta | Θ | Time decay per day |
All Greeks are calculated in real-time using the standard Black-Scholes formula with configurable inputs for strike, expiration, implied volatility, and risk-free rate.
---
## Entry Signals
**Long Entry** (buy the underlying):
- Price drops significantly (gamma scalp trigger), OR
- Straddle delta falls below the lower hedge band
- Volatility filter confirms favorable regime (HV > IV)
**Short Entry** (sell the underlying):
- Price rises significantly (gamma scalp trigger), OR
- Straddle delta rises above the upper hedge band
- Volatility filter confirms favorable regime
---
## Volatility Regime Filter
The strategy compares **Historical Volatility (HV)** to **Implied Volatility (IV)**:
- **HV/IV > 1.2** → Long volatility regime (gamma scalping profitable) → Trading enabled
- **HV/IV < 0.8** → Short volatility regime (theta wins) → Trading paused or reversed
- **Between** → Neutral, proceed with caution
This filter helps avoid trading when market conditions don't favor the strategy.
---
## Key Inputs
**Option Parameters:**
- Strike Offset % — Distance from ATM (0 = at-the-money)
- Days to Expiration — Synthetic option tenor (affects gamma magnitude)
- Implied Volatility — Your estimate of fair IV
- Risk-Free Rate — For BS calculation
**Trading Parameters:**
- Gamma Scalp Threshold — ATR multiple to trigger trades
- Delta Hedge Band % — How far delta must deviate to signal
- Volatility Regime Filter — Enable/disable HV/IV filter
**Risk Management:**
- Stop Loss / Take Profit (ATR multiples)
- Max Drawdown % — Pauses trading if exceeded
- Max Concurrent Positions
---
## How to Use
1. **Set Implied Volatility** to match current market IV (check options chain or VIX for reference)
2. **Adjust Days to Expiration** — Shorter = higher gamma, more signals; Longer = smoother
3. **Tune the Hedge Band** — Tighter bands = more trades; Wider = fewer, larger moves
4. **Enable Volatility Filter** for trend-following vol regimes, disable for pure mean-reversion
**Best suited for:**
- Range-bound or choppy markets
- High realized volatility environments
- Liquid instruments with tight spreads
**Avoid using when:**
- Strong directional trends (gamma scalping loses to delta)
- Volatility is collapsing
- Low liquidity / wide spreads
---
## Information Table
The on-chart table displays real-time:
- Current strike price
- Straddle Delta, Gamma, Vega, Theta
- Historical vs Implied Volatility
- HV/IV Ratio
- Current volatility regime
---
## Alerts
Built-in alert conditions for:
- Long entry signals
- Short entry signals
- Max drawdown protection triggered
---
## Disclaimer
This strategy is provided for **educational purposes only**. It demonstrates how Black-Scholes option pricing theory can be applied to generate trading signals.
- Past performance does not guarantee future results
- Backtest results may not reflect live trading conditions
- Always use proper position sizing and risk management
- Paper trade extensively before using real capital
**No financial advice is given or implied.**
---
## Credits
Based on the Black-Scholes-Merton option pricing model (1973) and gamma scalping techniques used by professional options market makers.
---
*If you find this useful, please leave a like or comment. Suggestions for improvements are welcome!*
VRVP Clone + Multi-POC -- PerroGordoVRVP Clone + Multi-POC
Overview
VRVP Clone + Multi-POC replicates TradingView's native Visible Range Volume Profile with several practical enhancements. The indicator displays volume distribution across price levels for the visible chart range, which is useful for identifying high-volume nodes, support/resistance zones, and areas of price acceptance.
The main differentiator from the built-in VRVP is support for multiple Point of Control (POC) lines with an intelligent peak detection algorithm. Instead of just showing the single highest-volume level, you can identify distinct volume clusters across different price zones.
Features
Dynamic Visible Range
Recalculates automatically on scroll or zoom
Analyzes only visible bars
Profile width scales proportionally to view
Multiple POC Detection (1-8 levels)
Volume Nodes Mode: Peak detection algorithm finds local volume maxima across distinct price clusters
Highest Rows Mode: Traditional approach - top N rows by raw volume
Configurable minimum separation between nodes to prevent bunching
Individual colors for each POC level
Volume Display Modes
Up/Down: Split bars showing buy vs. sell volume with black outlines for visual separation
Total: Single bar colored by dominant direction
Delta: Net volume (buy minus sell)
Delta Intensity: Gradient coloring indicating buyer/seller dominance strength per row
Value Area
Configurable percentage (default 70%)
VAH and VAL lines with customizable styles
Separate colors for volume inside vs. outside the Value Area
Positioning Options
Left or Right placement
Adjustable profile width as percentage of visible range
Row configuration via "Number of Rows" or "Ticks Per Row"
Additional Features
Statistics table showing bars analyzed, total volume, up/down percentages, price vs POC
POC price labels on chart
Line style options (Solid, Dashed, Dotted)
+++++
How It Works
Volume from each bar is distributed across price rows based on the bar's high-low range. The allocation is proportional - if a bar spans 3 rows with 60% overlap on one row, that row receives 60% of the bar's volume.
Volume Nodes Mode identifies local peaks in the distribution (rows where volume exceeds both neighbors), then selects the highest peaks while enforcing minimum separation. This surfaces distinct support/resistance clusters rather than stacking all POC lines in a single high-volume area.
+++++
Settings
Inputs
Setting - Description
Rows Layout - "Number of Rows" or "Ticks Per Row"
Row Size - Number of rows (24-200) or ticks per row
Volume - "Up/Down", "Total", "Delta", or source selection
Value Area % - Percentage of volume for Value Area (default 70%)
Profile Width % - Width as percentage of visible bars
Placement - "Right" or "Left" side of chart
Enhancements
Setting - Description
Number of POCs | 1-8 POC lines |
POC Mode - "Volume Nodes" (peak detection) or "Highest Rows" (traditional)
Min Node Separation - Minimum rows between nodes (0 = auto-calculate)
Delta Intensity Mode - Gradient coloring by dominance
Show Stats Table - Display analysis statistics
Style
Setting - Description
Up/Down Volume Colors - Buy/sell volume colors
Value Area Colors - Colors for VA regions
POC/VAH/VAL Colors - Line colors and styles
POC 2-8 Colors - Colors for additional POC levels
+++++
Applications
Support/Resistance Identification
High-volume nodes tend to act as price magnets. Multiple POCs reveal layered S/R zones that aren't visible with a single POC.
Fair Value Reference
The Value Area represents where 70% of volume traded. Price tends to revert to this zone.
Volume Gap Analysis
Low-volume areas between POCs indicate prices that were rejected quickly - potential breakout or breakdown levels.
Market Structure
Multiple POCs across price levels show where the market has found acceptance, useful for distinguishing range-bound conditions from trending moves.
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Practical Notes
Volume Nodes mode with 3-5 POCs works well for identifying distinct S/R clusters
Higher row counts give more granular analysis on lower timeframes
Delta Intensity mode quickly shows buyer/seller dominance at each level without the visual noise of split bars
If POCs are too clustered, increase Min Node Separation; if too spread out, decrease it or set to 0 for auto
The stats table vs POC comparison is useful for quick directional bias assessment
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Requirements
Any instrument with volume data
Works well on futures, forex, and liquid equities
Pine Script v6
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Version History
v1.1
- Added Volume Nodes mode with peak detection
- Expanded to 8 POC levels
- Added Min Node Separation setting
- Fixed POC label positioning for left placement
- Added black outlines to Up/Down volume bars
v1.0
- Initial release replicating VRVP with multi-POC enhancement
- Delta Intensity mode
- Statistics table
Multi-Timeframe Volume Profile - Auto HVN WallsMulti-Timeframe Volume Profile - Auto HVN Walls
Overview This indicator provides a highly flexible Volume Profile solution that operates across multiple timeframes (Session, Weekly, Monthly, Yearly). Unlike standard profiles, this tool features a unique "Auto HVN Wall" detection system. It automatically identifies meaningful High Volume Nodes (HVNs) within the profile structure and extends them forward as potential support and resistance zones, creating a dynamic map of market structure as it develops.
Key Features
Multi-Timeframe Support: Switch seamlessly between Session, Weekly, Monthly, and Yearly profiles.
Auto HVN Walls (Structure Detection): The script analyzes the profile shape in real-time. When it detects significant clusters of volume (HVNs), it automatically draws extended lines ("walls"). These walls often act as magnets or support/resistance levels where price has previously found acceptance.
Session Filtering: When in "Session" mode, you can define specific time windows (e.g., 0930-1615) to isolate Regular Trading Hours (RTH) volume, ignoring overnight data.
Auto-Scaling Width (Monthly Mode): For Monthly profiles, the histogram width dynamically changes throughout the month. It starts wide at the beginning of the month to be visible and gradually narrows as the month progresses, keeping your chart clean.
High Precision: Uses lower timeframe data (user-selectable) to build the profile, ensuring accuracy even on higher timeframe charts.
Alerts: Built-in alert conditions for price crossing the developing POC, VAH, or VAL.
How It Works
Data Accumulation: The script fetches lower timeframe volume and price data (e.g., 5-minute data on a 1-hour chart) to construct a precise volume histogram.
Wall Detection: It runs a smoothing algorithm over the volume profile. If a price level accumulates volume significantly higher than the average (controlled by the Volume Threshold Multiplier), it marks that level as a "Wall" and extends it.
Value Area: Standard Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) are calculated and displayed for the selected period.
Settings Guide
Profile Period: Choose between Session, Weekly, Monthly, or Yearly.
Session Time: (Only active in "Session" mode) Define the start and end times for the profile (e.g., 0930-1615).
Calculation Precision: Determines the lower timeframe used to build the profile. Lower is more precise but may load slower.
The Walls:
Smoothing Factor: How much to smooth the volume data before finding walls. Higher = fewer, more significant walls.
Volume Threshold: How much volume is needed to trigger a wall.
Extend Walls: If checked, walls extend infinitely to the right.
Auto-Scale Width: (Monthly Only) dynamically adjusts the profile width based on the day of the month.
Use Case This tool is ideal for auction market theorists and volume profile traders who want to visualize where value is building in real-time and identify "sticky" price levels (Walls) where the market is likely to rotate or consolidate.
Disclaimer This script and the information presented here are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading signals. Trading in financial markets involves a significant risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. Use this tool at your own discretion and risk.
