PoC Migration Map [BackQuant]PoC Migration Map
A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime.
What this is
This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart.
The result is a "migration map" of value:
A side volume profile that shows how volume is distributed over the recent price range.
A sequence of PoC nodes that show where local value has been accepted over time.
Lines that connect those PoCs to reveal the path of value migration.
Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime.
Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend.
Core components
Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window.
Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time.
Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21.
PoC labels - optional labels on every Nth PoC for easier reading and referencing.
How it works
1) Global lookback and binning
You choose:
Lookback Bars - how far back to collect data.
Number of Bins - how finely to split the price range.
The script:
Finds the highest high and lowest low in the lookback.
Computes the total price range and divides it into equal binCount slices.
Assigns each bar's close and volume into the appropriate price bin.
This creates a discretized volume distribution across the entire lookback.
2) Side volume profile
If "Show Side Profile" is enabled, a right-hand volume profile is drawn:
Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar.
The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin.
Optionally, volume values and percentages are printed inside the profile bars.
Color and transparency are controlled by:
Base Profile Color and its transparency.
A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins.
Profile Width (%) - how wide the maximum bin can extend in bars.
This gives you an at-a-glance view of the volume landscape for the chosen lookback window.
3) Segmenting for PoC migration
To build the PoC trail, the lookback is divided into segments:
Bars per Segment - bars in each local cluster.
Number of Segments - how many segments you want to see back in time.
For each segment:
The script uses the same price bins and accumulates volume only from bars in that segment.
It finds the bin with the highest volume in that segment, which is the local PoC for that segment.
It sets the PoC price to the center of that bin.
It finds the "mid bar" of the segment and places the PoC node at that time on the chart.
This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time.
4) Trend regime and color coding
The indicator precomputes:
EMA 12 (Fast).
EMA 21 (Slow).
For each PoC:
It samples EMA 12 and EMA 21 at the mid bar of that segment.
It computes a simple trend score as fast EMA minus slow EMA.
If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by:
Trend Up Color if EMA 12 is above EMA 21.
Trend Down Color if EMA 12 is below EMA 21.
Trend Flat Color if they are roughly equal.
If the trend heatmap is disabled, PoC color is instead based on PoC migration:
If the current PoC is above the previous PoC, use the Up PoC Color.
If the current PoC is below the previous PoC, use the Down PoC Color.
If unchanged, use the Flat PoC Color.
5) Connecting PoCs and labels
Once PoC prices and times are known:
Each PoC is connected to the previous one with a dotted line, using the PoC's color.
Optional labels are placed next to every Nth PoC:
Label text uses a simple "PoC N" scheme.
Label background uses a configurable label background color.
Label border is colored by the PoC's own color for visual consistency.
This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart.
What it plots
When fully enabled, you will see:
A right-sided volume profile for the chosen lookback window, built from volume by price.
Colored horizontal bars representing each price bin's relative volume.
Optional volume text showing each bin's volume and its percentage of the profile maximum.
A series of PoC nodes spaced across the chart at the mid point of each segment.
Dotted lines connecting those PoCs to show the migration path of value.
Optional PoC labels at each Nth node for easier reference.
Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift.
Reading PoC migration and market pressure
Side profile as a pressure map
The side profile shows where trading has been most active:
Thick, opaque bars represent high volume zones and possible high interest or acceptance areas.
Thin, faint bars represent low volume zones, potential rejection or transition areas.
When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size.
When price moves quickly through low volume bins, it often does so with less friction.
This gives you a static map of where the market has been willing to do business within your lookback.
PoC trail as a value migration map
The PoC chain represents "where value has lived" over time:
An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices.
A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down.
A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance.
Taken together, you can interpret:
Side profile as "where the volume mass sits", a static pressure field.
PoC trail as "how that mass has moved", the dynamic path of value.
Trend heatmap as a regime overlay
When PoCs are colored by the EMA 12 / 21 spread:
Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime.
Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime.
Gray PoCs mark flat or ambiguous trend segments.
This lets you answer questions like:
"Is value migrating higher while the trend regime is also up?" (trend confirming value).
"Is value migrating higher but most PoCs are red?" (value against the prevailing trend).
"Has value started to roll over just as PoCs flip from green to red?" (early regime transition).
Key settings
General Settings
Lookback Bars - how many bars back to use for both the global volume profile and segment profiles.
Number of Bins - how many price bins to split the high to low range into.
Profile Settings
Show Side Profile - toggle the right-hand volume profile on or off.
Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars.
Base Profile Color - the starting color for profile bars, with transparency.
Show Volume Values - if enabled, print volume and percent for each non-zero bin.
Profile Text Color - color for volume text inside the profile.
PoC Migration Settings
Show PoC Migration - toggle the PoC trail plotting.
Bars per Segment - the number of bars contained in each segment.
Number of Segments - how many segments to build backwards from the current bar.
Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.)
Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels).
Right Offset (bars) - horizontal offset to anchor the side profile on the right.
Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off.
Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off.
Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off.
PoC Label Background - background color for PoC labels.
Trend Heatmap Settings
Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors.
Fast EMA - length for the fast EMA.
Slow EMA - length for the slow EMA.
Trend Up Color - color for PoCs in a bullish EMA regime.
Trend Down Color - color for PoCs in a bearish EMA regime.
Trend Flat Color - color for neutral or flat EMA regimes.
Trading applications
1) Value migration and trend confirmation
Use the PoC path to see if value is following price or lagging it:
In a healthy uptrend, price, PoCs, and trend regime should all lean higher.
In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs.
In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle.
2) Identifying acceptance and rejection zones
Combine the side profile with PoC locations:
High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points.
PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones.
High volume zones with mixed PoC colors may signal balance or prolonged negotiation.
3) Structuring entries and exits
Use the map to refine trade location:
Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change.
Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries.
Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise.
4) Regime transitions
Watch how PoCs behave as the EMA regime changes:
A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend.
If EMAs flip but PoC migration does not follow, the trend signal may be early or false.
A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend.
Best practices
Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse.
Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing.
Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing.
Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests.
Notes
This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand:
Where the bulk of trading has occurred in your chosen window.
How the center of volume has migrated over time.
Whether that migration is aligned with or fighting the current trend regime.
By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
Cerca negli script per "poc"
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
POCs and VAHs VALs - All and Non-BrokenThe "POC and VAH VAL - All and Non-Broken"
POC = Points of Control
VAH = Value Area High
VAL = Value Area Low
This indicator aims to show you on the 5 minute time frame all POCs and VAHs/VALs and Non-Broken POCs and VAHs/VALs.
(Non-Broken are POCS and VAHs/VALS where price action has not since crossed its path)
In the screen image above I have used VPVR to back test on BYBIT:BTCUSDT.
The POCs and VAHs/VALs for each day can be seen.
Also there is an option to see non-broken POCS and VAHs/VALs within the settings.
All display options are selectable within the settings.
The indicator is not as precise as using the VPVR but is a lot quicker and gives you a quick snapshot to assist with your technical analysis.
In the screen shot above are some examples highlighted with yellow circles (resistance at POC and VAHs/VALs).
Thanks goes to:
ahancock for use of his code.
Bjorn Mistiaen on StackOverFlow for his assistance.
Disclaimer:
Indicator has been coded to only show on 5 min time frame (after back testing seemed most accurate).
Only back tested on BYBIT:BTCUST.
There are some slight discrepancies.
Back tested against VPVR settings: Row Size 500, Value Area 70.
Maximum of 500 lines will only be shown.
POC Volume Bar (Highest Volume in Range)What the highlighted POC bar means
🔶 1. Institutional interest
A POC often identifies where big money stepped in.
🔶 2. Support or resistance pivot
Large volume often signals:
• A reversal
• A breakout
• Or the beginning of a trend
🔶 3. Liquidity magnet
Price tends to revisit high-volume bars.
They act like magnets.
🔶 4. Trend confirmation or exhaustion
High volume on:
• Green candle → bullish participation
• Red candle → distribution / aggressive selling
Advanced Volume Profile Pro Delta + POC + VAH/VAL# Advanced Volume Profile Pro - Delta + POC + VAH/VAL Analysis System
## WHAT THIS SCRIPT DOES
This script creates a comprehensive volume profile analysis system that combines traditional volume-at-price distribution with delta volume calculations, Point of Control (POC) identification, and Value Area (VAH/VAL) analysis. Unlike standard volume indicators that show only total volume over time, this script analyzes volume distribution across price levels and estimates buying vs selling pressure using multiple calculation methods to provide deeper market structure insights.
## WHY THIS COMBINATION IS ORIGINAL AND USEFUL
**The Problem Solved:** Traditional volume indicators show when volume occurs but not where price finds acceptance or rejection. Standalone volume profiles lack directional bias information, while basic delta calculations don't provide structural context. Traders need to understand both volume distribution AND directional sentiment at key price levels.
**The Solution:** This script implements an integrated approach that:
- Maps volume distribution across price levels using configurable row density
- Estimates delta (buying vs selling pressure) using three different methodologies
- Identifies Point of Control (highest volume price level) for key support/resistance
- Calculates Value Area boundaries where 70% of volume traded
- Provides real-time alerts for key level interactions and volume imbalances
**Unique Features:**
1. **Developing POC Visualization**: Real-time tracking of Point of Control migration throughout the session via blue dotted trail, revealing institutional accumulation/distribution patterns before they complete
2. **Multi-Method Delta Calculation**: Price Action-based, Bid/Ask estimation, and Cumulative methods for different market conditions
3. **Adaptive Timeframe System**: Auto-adjusts calculation parameters based on chart timeframe for optimal performance
4. **Flexible Profile Types**: N Bars Back (precise control), Days Back (calendar-based), and Session-based analysis modes
5. **Advanced Imbalance Detection**: Identifies and highlights significant buying/selling imbalances with configurable thresholds
6. **Comprehensive Alert System**: Monitors POC touches, Value Area entry/exit, and major volume imbalances
## HOW THE SCRIPT WORKS TECHNICALLY
### Core Volume Profile Methodology:
**1. Price Level Distribution:**
- Divides price range into user-defined rows (10-50 configurable)
- Calculates row height: `(Highest Price - Lowest Price) / Number of Rows`
- Distributes each bar's volume across price levels it touched proportionally
**2. Delta Volume Calculation Methods:**
**Price Action Method:**
```
Price Range = High - Low
Buy Pressure = (Close - Low) / Price Range
Sell Pressure = (High - Close) / Price Range
Buy Volume = Total Volume × Buy Pressure
Sell Volume = Total Volume × Sell Pressure
Delta = Buy Volume - Sell Volume
```
**Bid/Ask Estimation Method:**
```
Average Price = (High + Low + Close) / 3
Buy Volume = Close > Average ? Volume × 0.6 : Volume × 0.4
Sell Volume = Total Volume - Buy Volume
```
**Cumulative Method:**
```
Buy Volume = Close > Open ? Volume : Volume × 0.3
Sell Volume = Close ≤ Open ? Volume : Volume × 0.3
```
**3. Point of Control (POC) Identification:**
- Scans all price levels to find maximum volume concentration
- POC represents the price level with highest trading activity
- Acts as significant support/resistance level
- **Developing POC Feature**: Tracks POC evolution in real-time via blue dotted trail, showing how institutional interest migrates throughout the session. Upward POC migration indicates accumulation patterns, downward migration suggests distribution, providing early trend signals before price confirmation.
**4. Value Area Calculation:**
- Starts from POC and expands up/down to encompass 70% of total volume
- VAH (Value Area High): Upper boundary of value area
- VAL (Value Area Low): Lower boundary of value area
- Expansion algorithm prioritizes direction with higher volume
**5. Adaptive Range Selection:**
Based on profile type and timeframe optimization:
- **N Bars Back**: Fixed lookback period with performance optimization (20-500 bars)
- **Days Back**: Calendar-based analysis with automatic timeframe adjustment (1-365 days)
- **Session**: Current trading session or custom session times
### Performance Optimization Features:
- **Sampling Algorithm**: Reduces calculation load on large datasets while maintaining accuracy
- **Memory Management**: Clears previous drawings to prevent performance degradation
- **Safety Constraints**: Prevents excessive memory usage with configurable limits
## HOW TO USE THIS SCRIPT
### Initial Setup:
1. **Profile Configuration**: Select profile type based on trading style:
- N Bars Back: Precise control over data range
- Days Back: Intuitive calendar-based analysis
- Session: Real-time session development
2. **Row Density**: Set number of rows (30 default) - more rows = higher resolution, slower performance
3. **Delta Method**: Choose calculation method based on market type:
- Price Action: Best for trending markets
- Bid/Ask Estimate: Good for ranging markets
- Cumulative: Smoothed approach for volatile markets
4. **Visual Settings**: Configure colors, position (left/right), and display options
### Reading the Profile:
**Volume Bars:**
- **Length**: Represents relative volume at that price level
- **Color**: Green = net buying pressure, Red = net selling pressure
- **Intensity**: Darker colors indicate volume imbalances above threshold
**Key Levels:**
- **POC (Blue Line)**: Highest volume price - major support/resistance
- **VAH (Purple Dashed)**: Value Area High - upper boundary of fair value
- **VAL (Orange Dashed)**: Value Area Low - lower boundary of fair value
- **Value Area Fill**: Shaded region showing main trading range
**Developing POC Trail:**
- **Blue Dotted Lines**: Show real-time POC evolution throughout the session
- **Migration Patterns**: Upward trail indicates bullish accumulation, downward trail suggests bearish distribution
- **Early Signals**: POC movement often precedes price movement, providing advance warning of institutional activity
- **Institutional Footprints**: Reveals where smart money concentrated volume before final POC establishment
### Trading Applications:
**Support/Resistance Analysis:**
- POC acts as magnetic price level - expect reactions
- VAH/VAL provide intermediate support/resistance levels
- Profile edges show areas of low volume acceptance
**Developing POC Analysis:**
- **Upward Migration**: POC moving higher = institutional accumulation, bullish bias
- **Downward Migration**: POC moving lower = institutional distribution, bearish bias
- **Stable POC**: Tight clustering = balanced market, range-bound conditions
- **Early Trend Detection**: POC direction change often precedes price breakouts
**Entry Strategies:**
- Buy at VAL with POC as target (in uptrends)
- Sell at VAH with POC as target (in downtrends)
- Breakout plays above/below profile extremes
**Volume Imbalance Trading:**
- Strong buying imbalance (>60% threshold) suggests continued upward pressure
- Strong selling imbalance suggests continued downward pressure
- Imbalances near key levels provide high-probability setups
**Multi-Timeframe Context:**
- Use higher timeframe profiles for major levels
- Lower timeframe profiles for precise entries
- Session profiles for intraday trading structure
## SCRIPT SETTINGS EXPLANATION
### Volume Profile Settings:
- **Profile Type**: Determines data range for calculation
- N Bars Back: Exact number of bars (20-500 range)
- Days Back: Calendar days with timeframe adaptation (1-365 days)
- Session: Trading session-based (intraday focus)
- **Number of Rows**: Profile resolution (10-50 range)
- **Profile Width**: Visual width as chart percentage (10-50%)
- **Value Area %**: Volume percentage for VA calculation (50-90%, 70% standard)
- **Auto-Adjust**: Automatically optimizes for different timeframes
### Delta Volume Settings:
- **Show Delta Volume**: Enable/disable delta calculations
- **Delta Calculation Method**: Choose methodology based on market conditions
- **Highlight Imbalances**: Visual emphasis for significant volume imbalances
- **Imbalance Threshold**: Percentage for imbalance detection (50-90%)
### Session Settings:
- **Session Type**: Daily, Weekly, Monthly, or Custom periods
- **Custom Session Time**: Define specific trading hours
- **Previous Sessions**: Number of historical sessions to display
### Days Back Settings:
- **Lookback Days**: Number of calendar days to analyze (1-365)
- **Automatic Calculation**: Script automatically converts days to bars based on timeframe:
- Intraday: Accounts for 6.5 trading hours per day
- Daily: 1 bar per day
- Weekly/Monthly: Proportional adjustment
### N Bars Back Settings:
- **Lookback Bars**: Exact number of bars to analyze (20-500)
- **Precise Control**: Best for systematic analysis and backtesting
### Visual Customization:
- **Colors**: Bullish (green), Bearish (red), and level colors
- **Profile Position**: Left or Right side of chart
- **Profile Offset**: Distance from current price action
- **Labels**: Show/hide level labels and values
- **Smooth Profile Bars**: Enhanced visual appearance
### Alert Configuration:
- **POC Touch**: Alerts when price interacts with Point of Control
- **VA Entry/Exit**: Alerts for Value Area boundary interactions
- **Major Imbalance**: Alerts for significant volume imbalances
## VISUAL FEATURES
### Profile Display:
- **Horizontal Bars**: Volume distribution across price levels
- **Color Coding**: Delta-based coloring for directional bias
- **Smooth Rendering**: Optional smoothing for cleaner appearance
- **Transparency**: Configurable opacity for chart readability
### Level Lines:
- **POC**: Solid blue line with optional label
- **VAH/VAL**: Dashed colored lines with value displays
- **Extension**: Lines extend across relevant time periods
- **Value Area Fill**: Optional shaded region between VAH/VAL
### Information Table:
- **Current Values**: Real-time POC, VAH, VAL prices
- **VA Range**: Value Area width calculation
- **Positioning**: Multiple table positions available
- **Text Sizing**: Adjustable for different screen sizes
## IMPORTANT USAGE NOTES
**Realistic Expectations:**
- Volume profile analysis provides structural context, not trading signals
- Delta calculations are estimations based on price action, not actual order flow
- Past volume distribution does not guarantee future price behavior
- Combine with other analysis methods for comprehensive market view
**Best Practices:**
- Use appropriate profile types for your trading style:
- Day Trading: Session or Days Back (1-5 days)
- Swing Trading: Days Back (10-30 days) or N Bars Back
- Position Trading: Days Back (60-180 days)
- Consider market context (trending vs ranging conditions)
- Verify key levels with additional technical analysis
- Monitor profile development for changing market structure
**Performance Considerations:**
- Higher row counts increase calculation complexity
- Large lookback periods may affect chart performance
- Auto-adjust feature optimizes for most use cases
- Consider using session profiles for intraday efficiency
**Limitations:**
- Delta calculations are estimations, not actual transaction data
- Profile accuracy depends on available price/volume history
- Effectiveness varies across different instruments and market conditions
- Requires understanding of volume profile concepts for optimal use
**Data Requirements:**
- Requires volume data for accurate calculations
- Works best on liquid instruments with consistent volume
- May be less effective on very low volume or exotic instruments
This script serves as a comprehensive volume analysis tool for traders who need detailed market structure information with integrated directional bias analysis and real-time POC development tracking for informed trading decisions.
Volume Footprint POC for Every CandleCalculating and plotting the Point of Control (POC) for every candle on a volume footprint chart can provide valuable insights for traders. Here are some interpretations and uses of this information:
1. Identify Key Price Levels
Highest Traded Volume: The POC represents the price level with the highest traded volume for each candle. This level often acts as a significant support or resistance level.
Confluence Zones: When multiple POCs align at similar price levels over several candles, it indicates strong support or resistance zones.
2. Gauge Market Sentiment
Buyer and Seller Activity: High volume at certain price levels can indicate where buyers and sellers are most active. A rising POC suggests stronger buying activity, while a falling POC suggests stronger selling activity.
Volume Profile: Analyzing the volume profile helps in understanding the distribution of traded volume across different price levels, providing insights into market sentiment and potential reversals.
3. Spot Trends and Reversals
Trend Continuation: Consistent upward or downward shifts in POC levels can indicate a trend continuation. Traders can use this information to stay in trending positions.
Reversal Signals: A sudden change in the POC direction may signal a potential reversal. This can be used to take profits or enter new positions.
4. Intraday Trading Strategies
Short-Term Trading: Intraday traders can use the POC to make informed decisions on entry and exit points. For example, buying near the POC during an uptrend or selling near the POC during a downtrend.
Scalping Opportunities: High-frequency traders can use shifts in the POC to scalp small profits from price movements around these key levels.
5. Volume-Based Indicators
Confirmation of Other Indicators: The POC can be used in conjunction with other technical indicators (e.g., moving averages, RSI) to confirm signals and improve trading accuracy.
Support and Resistance: Combining the POC with traditional support and resistance levels can provide a more comprehensive view of the market dynamics.
In summary, the Point of Control (POC) is a valuable tool for traders to understand market behavior, identify key levels, and make more informed trading decisions. If you have specific questions or need further details on how to use this information in your trading strategy, feel free to ask! 😊
[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool.
This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations.
🔎 Visual Guide: What's on Your Chart?
The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum.
The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF.
The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data.
⚙️ Key Settings & Configuration
To get the most out of this indicator, check these inputs in the settings menu:
Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D").
Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart.
POC Resolution (Levels): This is your fine-tuning dial.
Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels.
Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity.
Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times.
📈 Trading Strategies: How to Trade the HTF POC
1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box.
2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout.
3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend.
⚡ Performance Note
This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart.
🙏 Credits
This is a refactored and heavily optimized fusion of two great concepts:
Original HTF Box logic by © krollo041
Original Volume Thermometer concept by © ChartPrime
Merged, debugged, and optimized for v6 Array Management by ©Luki_eR
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.
Low Timeframe POCI have recently made a High Timeframe POC script (HFT POC) which is pretty popular. Thanks for this!
There are many requests to include lower timeframes in this script, that is why I created this script. I could have incorporated all the timeframe POC's into one indicator but I went this route to keep things more organized between all the different timeframes.
Currently included: Daily, 6H, 3H and 1H
/* DEFINITION */
Point Of Control (= POC) is a price level at which the heaviest volumes were traded.
/* HOW TO TRADE WITH THIS INDICATOR */
The basis for POC is determining bias on whichever timeframe you choose.
1. Identify a POC on the timeframe of your choosing.
/* If you choose the lowest timeframe (1H here) then always make sure to look at the higher timeframes to see how it is trading against a HTF POC.
2. When the price is moving away from the POC (either to the upside or downside) this can confirm or invalidate a trade.
3. You can now enter the trade on bias or wait for a retest of the same POC.
/* EXAMPLE TRADES /*
Here is a screenshot of some of the trades that are possible using these Low Timeframe POC's and some common sense.
s3.tradingview.com
High Timeframe POCBecause the big Bitcoin crash I have been looking a lot at high timeframe metrics. I never spent much time learning POC so I decided to create a little script for determining these on higher timeframes.
Currently included: Monthly, 3 months and 6 months.
/* DEFINITION */
Point Of Control (= POC) is a price level at which the heaviest volumes were traded.
Value Area High/Low (=VAH/VAL) is a range of prices where the majority of trading volume took place. Naturally, Value Area High being the top price level and Value Area Low being the lowest. POC always is between the two.
/* HOW TO TRADE WITH THIS INDICATOR */
The basis for POC is determining bias on whichever timeframe you choose.
1. Identify a POC on the timeframe of your choosing.
/* If you choose a "low" timeframe (monthly here) then make sure to look at the higher timeframes to see how it is playing against a higher timeframe POC.
2. When the price is moving away from the POC (either to the upside or downside) this will confirm or invalidate the trade.
3. You can now enter the trade on bias or wait for a retest of the same POC.
/* EXAMPLE TRADES /*
Here is a screenshot of some of the trades that are possible solely using the POC and some common sense.
s3.tradingview.com
Chart Champions - Part 2 - CCV IBs POCsThank you for sparing you time to read my indicator.
This indicator has been created as a suite of 3. This was to ensure that those with only the Free Trading View account could benefit (with their restriction to 3 indicators). Please ensure you install each indicator and read each indicator write up to fully understand what has tried to achieved.
Chart Champions – Part 1 –Lvls nPOC VWAPS
This indicator is broken down into:
• Levels
• VWAPS
• Naked Point of Control
Levels
It displays the levels to the right of the price Axis to enable the user to have a cleaner chart.
The below levels will automatically appear:
dOpen – pdHigh – pdLow – pdEQ – pwEQ
Optional Levels include:
mOpen – pmOpen – pdOpen – dbyOpen – wOpen – pwOpen
VWAPs
Optional VWAPs
Daily (including pdVWAP close) – Weekly – Monthly
Naked Points of Control (nPOC)
To view the nPOC move the chart back in time to pick up the nPOCs.
Chart Champions – Part 2 – CCV IBs POC
This indicator is broken down into:
• Chart Champions Value
• Initial Balance
• Points of Control
Chart Champions Value (CCV)
CCV is based on the 80% rule of the dOpen opening outside of the pdVAH/pdVAL. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Initial Balance (IB)
IB is based on the first 60 minutes of the market opening. It captures the highest and lowest points within that 60 minutes. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Points of Control (POCs)
POC are the price levels where the most volume was traded.
Developing POC (dPOC) will constantly move with volume/price action through out the day.
Optional POCs
Previous Day POC (pdPOC) – Day Before Yesterday POC (dbyPOC)
Chart Champions – Part 3 – Sessions - Manual Input
This indicator is broken down into:
• Manual Inputs (daily, weekly, monthly)
• IGOR SessionsTtimes
• Pre + Market Openings
Manual Input
Daily x3
Weekly x 3
Monthly x 3
This allows the trader to put in specific levels.
IGOR Session Times
This is a user specific requirement to highlight cetain times during the day, displayed at the bottom of the chart in the colour strip.
Pre + Market Openings
This allows the user to see when pre market trading has started and with the live maket has started, displayed at the top of the chart in colours.
A huge thank you goes out to:
Stackoverflow users AnyDozer and Bjorn.
TV user ahancock for allow me use of this code.
Disclaimer the lower the timeframe the more information it processes.
Volume Profile + Price Action Strategy (POC-based)This indicator combines volume dynamics, price action patterns, and a simplified Point of Control (POC) to highlight potential high-probability trade zones.
🔍 Key Features
POC-Based Logic
Plots the POC from the most recent closed 10-minute candle as a horizontal level for intraday structure.
Volume Spike Detection
Highlights unusual activity based on volume compared to the average of the last N candles.
Effort vs. Result Analysis
Based on Wyckoff-inspired logic:
Absorption: Large volume, small body → possible buyer/seller absorption
False Move: Small volume, large body → potential fakeout
Price Action Recognition Detects:
Inside Bars
Pin Bars
Engulfing Candles
Signal Highlights
🔺 Absorption Signals (below bar, teal triangle)
🔻 False Move Signals (above bar, orange triangle)
🔷 POC Line
⚙️ Customizable Inputs
You can control signal sensitivity with these inputs:
Volume Spike Multiplier
Raise to filter only extreme volume spikes
→ Recommended: 2.0 to 3.0 for cleaner setups
Absorption Body Ratio
Lower to detect only very small bodies (tight candles)
→ Try 0.3 to 0.4 for stricter absorption logic
False Move Body Ratio
Raise to catch only large candles on low volume
→ Use 2.0+ to filter weak moves
🧠 How to Use
Use in confluence with:
Support/Resistance
VWAP or moving averages
Session opens/closes
Best on 10-minute charts, but adjustable
✅ Signal Tuning Tips
Want fewer but cleaner signals?
Increase Volume Spike Multiplier: 2.5+
Decrease Absorption Body Ratio: 0.3
Increase False Move Ratio: 2.0+
Want more frequent signals?
Lower Volume Multiplier: 1.2–1.5
Raise Absorption Ratio: 0.6+
Lower False Move Ratio: 1.2–1.4
📊 Recommended Timeframe
Optimized for 10-minute charts
Works intraday, especially around session opens and POC re-tests
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Always do your own research and consult a licensed financial advisor before making trading decisions.
Use at your own risk.
Dynamic Point of Control (POC)The Dynamic Point of Control (POC) indicator provides traders and analysts with insightful information about price levels, volume distribution, and sentiment within a specified historical range.
Instant Updates : POC recalculates with every new bar, keeping you ahead of the game.
Market Bias : Assess market sentiment through bullish volume share.
Customization : Tailor inputs to match your unique trading strategy.
Chart Presence : See POC and related data graphically on your price chart.
How to Use :
Traders can use the Dynamic POC indicator to identify Point of Control price level, understand volume distribution, and gauge market sentiment. The indicator's visual cues and customizable parameters make it a valuable tool for technical analysis and decision-making.
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.
TPO Levels [VAH/POC/VAL] with Poor H/L, Single Prints & NPOCs### 🎯 Advanced Market Profile & Key Level Analysis
This script is a unique and comprehensive technical analysis tool designed to help traders understand market structure, value, and key liquidity levels using the principles of **Auction Market Theory** and **Market Profile**.
This script is unique (and shouldn't be censored) because :
It allows large history of levels to be displayed
Accurate as possible tick size
Doesn't draw a profile but only the actual levels
Supports multi-timeframe levels even on the daily mode giving macro context
There is no indicator out there that does it
While these concepts are universal, this indicator was built primarily for the dynamic, 24/7 nature of the **cryptocurrency market**. It helps you move beyond simple price action to understand *why* the market is moving, which is especially crucial in the volatile crypto space.
### ## 📊 The Concepts Behind the Calculations
To use this script effectively, it's important to understand the core concepts it is built upon. The entire script is self-contained and does not require other indicators.
* **What is Market Profile?**
Market Profile is a unique charting technique that organizes price and time data to reveal market structure. It's built from **Time Price Opportunities (TPOs)**, which are 30-minute periods of market activity. By stacking these TPOs, the script builds a distribution, showing which price levels were most accepted (heavily traded) and which were rejected (lightly traded) during a session.
* **What is the Value Area (VA)?**
The Value Area is the heart of the profile. It represents the price range where **70%** of the session's trading volume occurred. This is considered the "fair value" zone where both buyers and sellers were in general agreement.
* **Point of Control (POC):** The single price level with the most TPOs. This was the most accepted or "fairest" price of the session and acts as a gravitational line for price.
* **Value Area High (VAH):** The upper boundary of the 70% value zone.
* **Value Area Low (VAL):** The lower boundary of the 70% value zone.
VAH and VAL are dynamic support and resistance levels. Trading outside the previous session's value area can signal the start of a new trend.
***
### ## 📈 Key Features Explained
This script automatically calculates and displays the following critical market-generated information:
* **Multi-Timeframe Market Profile**
Automatically draws Daily, Weekly, and Monthly profiles, allowing you to analyze market structure across different time horizons. The script preserves up to 20 historical sessions to provide deep market context.
* **Naked Point of Control (nPOC)**
A "Naked" POC is a Point of Control from a previous session that has **not** been revisited by price. These levels often act as powerful magnets for price, representing areas of unfinished business that the market may seek to retest. The script tracks and displays Daily, Weekly, and Monthly nPOCs until they are touched.
* **Single Prints (Imbalance Zones)**
A Single Print is a price level where only one TPO traded during the session's development. This signifies a rapid, aggressive price move and an imbalanced market. These areas, like gaps in a traditional chart, are frequently revisited as the market seeks to "fill in" these thin parts of the profile.
* **Poor Structure (Unfinished Auctions)**
A **Poor High** or **Poor Low** occurs when the top or bottom of a profile is flat, with two or more TPOs at the extreme price. This suggests that the auction in that direction was weak and inconclusive. These weak structures often signal a high probability that price will eventually break that high or low.
***
### ## 💡 How to Use This Indicator
This tool is not a signal generator but an analytical framework to improve your trading decisions.
1. **Determine Market Context:** Start by asking: Is the current price trading *inside* or *outside* the previous session's Value Area?
* **Inside VA:** The market is in a state of balance or range-bound. Look for trades between the VAH and VAL.
* **Outside VA:** The market is in a state of imbalance and may be starting a trend. Look for continuation or acceptance of prices outside the prior value.
2. **Identify Key Levels:**
* Use historical **nPOCs** as potential profit targets or areas to watch for a price reaction.
* Treat historical **VAH** and **VAL** levels as significant support and resistance zones.
* Note where **Single Prints** are. These are often price magnets that may get "filled" in the future.
3. **Spot Weakness:**
* A **Poor High** suggests weak resistance that may be easily broken.
* A **Poor Low** suggests weak support, signaling a potential for a continued move lower if broken.
***
### ## ⚙️ Customization & Crypto Presets
The indicator is highly customizable, allowing you to change colors, transparency, the number of historical sessions, and more.
To help traders get started quickly, the indicator includes **built-in layout presets** specifically calibrated for major cryptocurrencies: ** BINANCE:BTCUSDT.P , BINANCE:ETHUSDT.P , and BINANCE:SOLUSDT.P **. These presets automatically adjust key visual parameters to better suit the unique price characteristics and volatility of each asset, providing an optimized view right out of the box.
***
### ## ⚠️ Disclaimer
This indicator is a tool for market analysis and should not be interpreted as direct buy or sell signals. It provides information based on historical price action, which does not guarantee future results. Trading involves significant risk, and you should always use proper risk management. This script is designed for use on standard chart types (e.g., Candlesticks, Bar) and may produce misleading information on non-standard charts.
Apex Wallet - Volume Profile: Institutional POC & Value Area TooOverview The Apex Wallet Volume Profile is a professional-grade institutional analysis tool designed to reveal where the most significant trading activity has occurred. By plotting volume on the vertical price axis, it identifies key liquidity zones, value areas, and market fair value, which are essential for order flow trading and identifying high-probability support and resistance.
Dynamic Multi-Mode Engine This script features an intelligent adaptive lookback system that automatically adjusts based on your timeframe and trading style:
Scalping: Fine-tuned for 1m to 15m charts, focusing on immediate liquidity.
Day-Trading: Optimized for intraday sessions from 5m to 1h timeframes.
Swing-Trading: Deep historical analysis for 1h up to daily charts.
Institutional Data Points
Point of Control (POC): Automatically identifies and highlights the price level with the highest total volume.
Value Area (VAH/VAL): Calculates the range where 70% (customizable) of the volume occurred, representing the "Fair Value" of the asset.
HVN & LVN Detection: Spots High Volume Nodes (significant support/resistance) and Low Volume Nodes (rejection zones).
Delta Visualization: Toggle between Bullish, Bearish, or Total volume distribution for precise buy/sell pressure analysis.
Professional UI The profile is rendered with high-fidelity histograms that can be offset to avoid overlapping with price action. It features clear labels and dashed levels for institutional markers, ensuring a clean and actionable workspace.
POC IndicatorThis simplified Point of Control (POC) indicator for TradingView is designed to identify and plot the price level where the highest volume of trading occurred over a specified period. The script works as follows:
Input and Initialization: The user specifies a length for the analysis period. Variables highestVolPrice and highestVol are initialized to track the price with the highest volume and the highest volume encountered, respectively.
Volume Analysis Loop: For each bar in the specified period (up to length bars back from the current bar), the script compares the volume of the current bar (volume ) to highestVol. If the current bar's volume is higher, highestVol and highestVolPrice are updated to reflect the volume and closing price of the current bar.
Plotting the POC: Instead of using a horizontal line (hline), which cannot be dynamically updated within the loop, the script uses plot to draw the POC. This plotting function draws a line on the chart that represents the closing price level associated with the highest volume observed within the analysis period.
Resetting Variables: To ensure the indicator updates correctly with each new bar, the script resets highestVol and highestVolPrice at the start of the analysis for each new period. This step is designed to recalculate the POC dynamically as new data comes in.
This approach offers a basic method for visualizing significant price levels where substantial trading activity occurred, potentially indicating areas of strong support or resistance. However, it's a simplified model and does not calculate the true POC based on a detailed volume profile across all price levels within the period.
Volume Profile Skew [BackQuant]Volume Profile Skew
Overview
Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not:
“Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?”
A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking.
This gives you two layers at once:
A full profile and its important levels (where volume is).
A skew metric (how volume is leaning within that range).
What this indicator is based on
The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis:
POC (Point of Control): the price level with the highest traded volume.
Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume.
Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity.
Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments:
Mean: where the mass is centered.
Standard deviation: how spread-out it is.
Skewness: whether the distribution has a heavier tail toward higher or lower prices.
This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns.
Core concept: what “skew” means in a volume profile
Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes:
Balanced profile: volume is fairly symmetric around the mean, skew near 0.
Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive.
Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative.
In this script:
Positive skew is labeled as ACCUMULATION.
Negative skew is labeled as DISTRIBUTION.
Near-zero skew is NEUTRAL.
Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices.
How the volume profile is built
1) Define the analysis window
The profile is computed on a rolling window:
Lookback Period: number of bars included (capped by available history).
Profile Resolution (bins): number of price bins used to discretize the high-low range.
The script finds the highest high and lowest low in the lookback window to define the price range:
rangeHigh = highest high in window
rangeLow = lowest low in window
binSize = (rangeHigh - rangeLow) / bins
2) Create bin midpoints
Each bin gets a midpoint “price” used for calculations:
price = rangeLow + binSize * (b + 0.5)
These midpoints are what the mean, variance, and skewness are computed on.
3) Distribute each candle’s volume into bins
This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges:
For each bar in the lookback:
Determine which bins its low-to-high range touches.
Split that candle’s total volume evenly across the touched bins.
So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar.
This approach has tradeoffs:
It does not know where within the candle the volume truly traded.
It assumes uniform distribution across the candle range.
It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes.
But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure.
Key profile levels: POC, VAH, VAL, VWMP
POC (Point of Control)
POC is found by scanning bins and selecting the bin with maximum volume. The script stores:
pocIndex: which bin has max volume
poc price: midpoint price of that bin
Value Area (VAH/VAL) using 70% volume
The script builds the value area around the POC outward until it captures 70% of total volume:
Start with the POC bin.
Expand one bin at a time to the side with more volume.
Stop when accumulated volume >= 70% of total profile volume.
Then:
VAL = rangeLow + binSize * lowerIdx
VAH = rangeLow + binSize * (upperIdx + 1)
This produces a classic “where most business happened” zone.
VWMP (Volume-Weighted Mean Price)
This is essentially the center of mass of the profile:
VWMP = sum(price * volume ) / totalVolume
It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price.
Skewness calculation: turning the profile into an oscillator
This is the main feature.
1) Treat volumes as weights
For each bin:
weight = volume / totalVolume
Now weights sum to 1.
2) Compute weighted mean
Mean price:
mean = sum(weight * price )
3) Compute weighted variance and std deviation
Variance:
variance = sum(weight * (price - mean)^2)
stdDev = sqrt(variance)
4) Compute weighted third central moment
Third moment:
m3 = sum(weight * (price - mean)^3)
5) Standardize to skewness
Skewness:
rawSkew = m3 / (stdDev^3)
This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable.
Smoothing and regime rules
Raw skewness can be jumpy because:
profile bins change as rangeHigh/rangeLow shift,
one high-volume candle can reshape the distribution,
volume regimes change quickly in crypto.
So the indicator applies EMA smoothing:
smoothedSkew = EMA(rawSkew, smooth)
Then it classifies regime using fixed thresholds:
Bullish (ACCUMULATION): smoothedSkew > +0.25
Bearish (DISTRIBUTION): smoothedSkew < -0.25
Neutral: between those values
Signals are generated on threshold cross events:
Bull signal when smoothedSkew crosses above +0.25
Bear signal when smoothedSkew crosses below -0.25
This makes the skew act like a regime oscillator rather than a constantly flipping color.
Volume Profile plotting modes
The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume:
volRatio = binVol / maxVol
barWidth = volRatio * width
Three style modes exist:
1) Gradient
Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade.
2) Solid
Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.”
3) Skew Highlight
Highlights bins that match the skew bias:
If skew bullish, emphasize lower portion of profile.
If skew bearish, emphasize higher portion of profile.
Else, keep most bins neutral.
This is a visual “where the skew is coming from” mode.
Historical POC tracking and Naked POCs
This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels.
What is a “naked POC”?
A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with.
How this script records POCs
It stores a new historical POC when:
At least updatebars have passed since the last stored POC, and
The POC has changed by at least pochangethres (%) from the last stored value.
New stored POCs are flagged as naked by default.
How naked becomes tested
On each update, the script checks whether price has entered a small zone around a naked POC:
zoneSize = POC * 0.002 (about 0.2%)
If bar range overlaps that zone, mark it as tested (not naked).
Display controls:
Highlight Naked POCs: draws and labels untested POCs.
Show Tested POCs: optionally draw tested ones in a muted color.
To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC.
On-chart key levels and what they mean
When enabled, the script draws the current lookback profile levels on the price chart:
POC (solid): the “most traded” price.
VAH/VAL (dashed): boundaries of the 70% value area.
VWMP (dotted): volume-weighted mean of the profile distribution.
Interpretation framework (practical, not mystical):
POC often behaves like a magnet in balanced conditions.
VAH/VAL define the “accepted” area, breaks can signal auction continuation.
VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing.
Oscillator panel and histogram
The skew oscillator is plotted in a separate pane:
Line: smoothedSkew, colored by regime.
Histogram: smoothedSkew as bars, colored by sign.
Fill: subtle shading above/below 0 to reinforce bias.
This makes it easy to read:
Direction of bias (positive vs negative).
Strength (distance from 0 and from thresholds).
Transitions (crosses of ±0.25).
Info table: what it summarizes
On the last bar, a table prints key diagnostics:
Current skew value (smoothed).
Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL).
Current POC, VAH, VAL, VWMP.
Count of naked POCs still active.
A simple “volume location” hint (lower/higher/balanced).
This is designed for quick scanning without reading the entire profile.
Alerts
The indicator includes alerts for:
Skew regime shifts (cross above +0.25, cross below -0.25).
Price crossing above/below current POC.
Approaching a naked POC (within 1% of any active naked POC).
The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone.
How to use it properly
1) Regime filter
Use skew regime to decide what type of trades you should prioritize:
ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more.
DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more.
NEUTRAL: mean-reversion and POC magnet behavior tends to dominate.
This is not “buy when green.” It is context for what the auction is doing.
2) Level-based execution
Combine skew with VA/POC levels:
In neutral regimes, expect rotations around POC and inside VA.
In strong skew regimes, watch for acceptance away from POC and reactions at VA edges.
3) Naked POCs as targets and reaction zones
Naked POCs can act like unfinished business. Common workflows:
As targets in rotations.
As areas to reduce risk when price is approaching.
As “if it breaks cleanly, trend continuation” markers when price returns with force.
Parameter tuning guidance
Lookback
Controls how “local” the profile is.
Shorter: reacts faster, more sensitive to recent moves.
Longer: more stable, better for swing context.
Bins
Controls resolution of the profile.
Higher bins: more detail, more computation, more sensitive profile shape.
Lower bins: smoother, less detail, more stable skew.
Smoothing
Controls how noisy the skew oscillator is.
Higher smoothing: fewer regime flips, slower response.
Lower smoothing: more responsive, more false transitions.
POC tracking settings
Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts.
Limitations and what not to assume
This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means:
The profile is an approximation of where volume could have traded, not exact tape data.
Skew is best treated as a structural bias, not a precise signal generator.
Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality.
Summary
Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
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
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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.
+++++
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
+++++
Requirements
Any instrument with volume data
Works well on futures, forex, and liquid equities
Pine Script v6
+++++
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
Dynamic Volume Profile PoC SwiftedgeOverview
The Dynamic Volume Profile PoC is a powerful and visually intuitive indicator designed to help traders identify key support and resistance levels using a unique combination of pivot points, volume analysis, and dynamic Point of Control (PoC) levels. This script overlays directly on your chart, providing clear visual cues for potential breakout and rejection zones, making it easier to spot high-probability trading opportunities.
What It Does
This indicator combines three core components to deliver actionable insights:
Pivot Points: Identifies significant swing highs and lows to establish potential support and resistance levels.
Volume Oscillator: Measures volume momentum to confirm the strength of price movements, ensuring that breakouts or rejections are backed by significant volume.
Dynamic Point of Control (PoC): Calculates the midpoint between consecutive pivot points to create dynamic PoC levels, which act as key areas where price is likely to either break through (breakout) or reverse (rejection).
These components work together to highlight critical price levels where the market is likely to react, giving traders a clear framework for decision-making.
How It Works
Pivot Detection: The script uses pivot highs and lows (based on user-defined Left Bars and Right Bars) to identify significant price levels. These pivots form the foundation for calculating PoC levels.
PoC Calculation: Each time a new pivot is detected, the script calculates the midpoint between the current pivot and the previous pivot, creating a dynamic PoC level. These levels are plotted as horizontal lines on the chart, with a maximum of Max PoC Lines to Show (default: 2) visible at any time.
Volume Confirmation: A volume oscillator (short EMA of volume minus long EMA of volume) is used to filter breakouts and rejections. Breakouts or rejections are only signaled if the volume oscillator exceeds the Volume Threshold (default: 20), ensuring that price movements are supported by strong volume.
Visual Cues:
PoC levels are drawn as cyan lines with optional semi-transparent zones (controlled by Show PoC Zones). These zones are colored green for potential breakouts (price above PoC) and red for potential rejections (price below PoC).
Labels above and below each PoC level indicate trading opportunities: "Long if breakout"/"Long if rejected" (green) and "Short if breakout"/"Short if rejected" (red), depending on the price's direction relative to the PoC.
Break signals ("B") are plotted above or below bars when price crosses a pivot level with sufficient volume, colored red for downward breaks and green for upward breaks.
How to Use
Add the Indicator: Add the "Dynamic Volume Profile PoC " to your chart in TradingView.
Adjust Settings:
Left Bars and Right Bars (default: 15): Control the sensitivity of pivot detection. Lower values make the script more sensitive to smaller price swings.
Volume Threshold (default: 20): Set the minimum volume oscillator value required to confirm breakouts or rejections. Increase this for stricter confirmation.
Max PoC Lines to Show (default: 2): Define how many PoC levels are displayed at once.
Show PoC Zones (default: true): Toggle semi-transparent zones around PoC levels for better visualization.
Label Spacing Factor (default: 0.5): Adjust the vertical spacing between labels and the PoC box. Increase this value (e.g., to 1.0 or 2.0) for more spacing, or decrease it (e.g., to 0.3) for less.
Interpret the Signals:
Look for PoC levels (cyan lines) as key areas of interest.
Use the labels to identify potential trades: "Long if breakout" indicates a buy opportunity if price breaks above the PoC, while "Short if rejected" suggests a sell if price fails to break through.
Watch for "B" signals to confirm breakouts or rejections with volume support.
Combine with Your Strategy: Use the PoC levels and break signals as part of your broader trading strategy, such as trend-following or mean-reversion setups.
Why This Script is Unique
The Dynamic Volume Profile PoC stands out by combining pivot points, volume analysis, and dynamic PoC levels into a single, cohesive tool. Unlike traditional volume profile indicators that require a fixed range, this script dynamically updates PoC levels based on recent price action, making it more responsive to current market conditions. The addition of volume confirmation ensures that signals are backed by market participation, reducing false breakouts. The visually appealing design, with customizable spacing and semi-transparent zones, makes it easy to interpret key levels at a glance, even for traders unfamiliar with Pine Script.
Notes
This script works best on timeframes where pivot points are meaningful (e.g., 1H, 4H, or daily charts).
Adjust the Label Spacing Factor to ensure labels are well-spaced for your chart's zoom level and instrument.
For instruments with high volatility, you may need to increase the Volume Threshold to filter out noise.
Volume Profile Free Ultra SLI (100 Levels Value Area VWAP) - RRBVolume Profile Free Ultra SLI by RagingRocketBull 2019
Version 1.0
This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 100 horizontal bars.
This is basically the MAX SLI version with +50 more Pinescript v4 line objects added as levels.
It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels.
Free accounts can't access Standard TradingView Volume Profile, hence this indicator.
There are several versions: Free Pro, Free MAX SLI, Free Ultra SLI, Free History. This is the Free Ultra SLI version. The Differences are listed below:
- Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming
- Free MAX SLI: 50 levels, 2x SLI modes for Buy/Sell or even higher res 150 levels
- Free Ultra SLI: 100 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 300 levels
- Free History: auto highest/lowest, historic poc/va levels for each session
Features:
- High-Res Volume Profile with up to 100 levels (line implementation)
- 2x SLI modes for even higher res: 300 levels with 3x vertical SLI, 100 buy/sell levels with 2x horiz SLI
- Calculate Volume Profile on full history
- POC, Developing POC Levels
- Buy/Sell/Total volume modes
- Side Cover
- Value Area, VAH/VAL dynamic levels
- VWAP High/Low dynamic levels with Source, Length, StdDev as params
- Show/Hide all levels
- Dim Non Value Area Zones
- Custom Range with Highlighting
- 3 Anchor points for Volume Profile
- Flip Levels Horizontally
- Adjustable width, offset and spacing of levels
- Custom Color for POC/VA/VWAP levels, Transparency for buy/sell levels
WARNING:
- Compilation Time: 1 min 20 sec
Usage:
- specify max_level/min_level/spacing (required)
- select range (start_bar, range length), confirm with range highlighting
- select volume type: Buy/Sell/Total
- select mode Value Area/VWAP to show corresponding levels
- flip/select anchor point to position the buy/sell levels
- use Horiz Buy/Sell SLI mode with 100 or Vertical SLI with 300 levels if needed
- use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day.
SLI:
use SLI modes to extend the functionality of the indicator:
- Horiz Buy/Sell 2x SLI lets you view 100 Buy/Sell Levels at the same time
- Vertical Max_Vol 3x SLI lets you increase the resolution to 300 levels
- you need at least 2 instances of the indicator attached to the same chart for SLI to work
1) Enable Horiz SLI:
- attach 2 indicator instances to the chart
- make sure all instances have the same min_level/max_level/range/spacing settings
- select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping.
- set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional.
- this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels
- Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length
- there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap.
2) Enable Vertical SLI:
- attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or
- add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc
- make sure all instances have the same range/spacing settings
- an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values
- set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value
- you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master
Auto/Manual Ext Max_Vol Modes:
- for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances
- in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change
- manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled
- master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels.
- Max_vol (red) is the last param in the long list of indicator outputs
- the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels.
- VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range and may be inaccurate. Cross check with the full range.
WARNING!
- auto mode max_vol_sli_src is experimental and may not work as expected
- you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance
- sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch
- volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value
- you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance
- 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work (you can have a mixed mode: 2nd instance - auto, 3rd - manual)
Notes:
- This code uses Pinescript v3 compatibility framework
- This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 4-5 sec load/redraw time vs 30-60 sec of the old Pro versions
- Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically
- 100 levels consist of 50 main plot levels and 50 line objects used as alternate levels, differences are:
- line objects are always shown on top of other objects, such as plot levels, zero line and side cover, it's not possible to cover/move them below.
- all line objects have variable lengths, use actual x,y coords and don't need side cover, while all plot levels have a fixed length of 100 bars, use offset and require cover.
- all key properties of line objects, such as x,y coords, color can be modified, objects can be moved/deleted, while this is not possible for static plot levels.
- large width values cause line objects to expand only up/down from center while their length remains the same and stays within the level's start/end points similar to an area style.
- large width values make plot levels expand in all directions (both h/v), beyond level start/end points, sometimes overlapping zero line, making them an inaccurate % length representation, as opposed to line objects/plot levels with area style.
- large width values translate into different widths on screen for line objects and plot levels.
- you can't compensate for this unwanted horiz width expansion of plot levels because width uses its own units, that don't translate into bars/pixels.
- line objects are visible only when num_levels > 50, plot levels are used otherwise
- Since line objects are lines, plot levels also use style line because other style implementations will break the symmetry/spacing between levels.
- if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001)
- you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that.
- Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts.
- Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option
- Custom Width - UI Style supports only width <= 4, hence this additional option
- POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs
- You can't change buy/sell level colors from input (only transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones
- You can change level transparency of line objects. Due to Pinescript limitations, only discrete values are supported.
- Inverse transp correlation creates the necessary illusion of "covered" line objects, although they are shown on top of the cover all the time
- If custom lines_transp is set the illusion will break because transp range can't be skewed easily (i.e. transp 0..100 is always mapped to 100..0 and can't be mapped to 50..0)
- transparency can applied to lines dynamically but nva top zone can't be completely removed because plot/mixed type of levels are still used when num_levels < 50 and require cover
- transparency can't be applied to plot levels dynamically from script this can be done only once from UI, and you can't change plot color for the past length bars
- All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it
- Range selection/Anchoring is not accurate on charts with time gaps since you can only anchor from a point in the future and measure distance in time periods, not actual bars, and there's no way of knowing the number of future gaps in advance.
- Adjust Width for Log Scale mode now also works on high precision charts with small prices (i.e. 0.00001)
- in Adjust Width for Log Scale mode Level1 width extremes can be capped using max deviation (when level1 = 0, shift = 0 width becomes infinite)
- There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume
P.S. I am your grandfather, Luke! Now, join the Dark Side in your father's steps or be destroyed! Once more the Sith will rule the Galaxy, and we shall have peace...
Volume Profile Free MAX SLI (50 Levels Value Area VWAP) by RRBVolume Profile Free MAX SLI by RagingRocketBull 2019
Version 1.0
All available Volume Profile Free MAX SLI versions are listed below (They are very similar and I don't want to publish them as separate indicators):
ver 1.0: style columns implementation
ver 2.0: style histogram implementation
ver 3.0: style line implementation
This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 50 horizontal bars.
It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels.
Free accounts can't access Standard TradingView Volume Profile, hence this indicator.
There are several versions: Free Pro, Free MAX SLI, Free History. This is the Free MAX SLI version. The Differences are listed below:
- Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming
- Free MAX SLI: 50 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 150 levels
- Free History: auto highest/lowest, historic poc/va levels for each session
Features:
- High-Res Volume Profile with up to 50 levels (3 implementations)
- 20-30x faster than the old Pro versions especially on lower tfs with long history
- 2x SLI modes for even higher res: 150 levels with 3x vertical SLI, 50 buy/sell levels with 2x horiz SLI
- Calculate Volume Profile on full history
- POC, Developing POC Levels
- Buy/Sell/Total volume modes
- Side Cover
- Value Area, VAH/VAL dynamic levels
- VWAP High/Low dynamic levels with Source, Length, StdDev as params
- Show/Hide all levels
- Dim Non Value Area Zones
- Custom Range with Highlighting
- 3 Anchor points for Volume Profile
- Flip Levels Horizontally
- Adjustable width, offset and spacing of levels
- Custom Color for POC/VA/VWAP levels and Transparency for buy/sell levels
Usage:
- specify max_level/min_level/spacing (required)
- select range (start_bar, range length), confirm with range highlighting
- select volume type: Buy/Sell/Total
- select mode Value Area/VWAP to show corresponding levels
- flip/select anchor point to position the buy/sell levels
- use Horiz SLI mode for 50 Buy/Sell or Vertical SLI for 150 levels if needed
- use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day.
SLI:
- use SLI modes to extend the functionality of the indicator:
- Horiz Buy/Sell 2x SLI lets you view 50 Buy/Sell Levels at the same time
- Vertical Max_Vol 3x SLI lets you increase the resolution to 150 levels
- you need at least 2 instances of the indicator attached to the same chart for SLI to work
1) Enable Horiz SLI:
- attach 2 indicator instances to the chart
- make sure all instances have the same min_level/max_level/range/spacing settings
- select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping.
- set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional.
- this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels
- Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length
- there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap.
2) Enable Vertical SLI:
- attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or
- add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc
- make sure all instances have the same range/spacing settings
- an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values
- set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value
- you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master
Auto/Manual Ext Max_Vol Modes:
- for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances
- in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change
- manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled
- master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels.
- Max_vol (red) is the last param in the long list of indicator outputs
- the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels.
- VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range. Cross check with the full range.
WARNING!
- auto mode max_vol_sli_src is experimental and may not work as expected
- you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance
- sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch
- volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value
- you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance
- 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work
Notes:
- This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 2-3 sec load/redraw time vs 30-60 sec of the old Pro versions
- Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically
- hist_base for levels still results is ugly redraw
- if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001)
- you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that.
- Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts.
- Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option
- Custom Width - UI Style supports only width <= 4, hence this additional option
- POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs
- You can't change buy/sell level colors from input (only plot transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones
- All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it
- There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume
P.S. Gravitonium Levels Are Increasing. Unobtainium is nowhere to be found!
Links on Volume Profile and Value Area calculation and usage:
www.tradingview.com
stockcharts.com
onlinelibrary.wiley.com
Point of Control [BigBeluga]🔵 OVERVIEW
Point of Control identifies the exact price level with the highest traded volume over a selected lookback period.
This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume.
The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action.
🔵 CONCEPTS
Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume.
Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration.
Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits.
PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor.
Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels.
🔵 FEATURES
Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC.
Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak.
Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance.
Adaptive Candle Coloring —
- Neutral → price inside PoC channel. Gray
- Bullish → price above PoC channel. Blue 🔵
- Bearish → price below PoC channel. Orange 🟠
Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference.
Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel.
Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness.
Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy.
🔵 HOW TO USE
Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level.
Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance.
Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution.
Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form.
Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity.
🔵 CONCLUSION
Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range.
It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
Volume Profile Auto POC📌 Overview
Volume Profile Auto POC is a trend-following strategy that uses the automatically calculated Point of Control (POC) from the volume profile, combined with ATR zones, to capture reversals and breakouts.
By basing decisions on volume concentration, it dynamically visualizes the price levels most watched by market participants.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
Automatically detect the volume concentration area (POC) to improve entry accuracy
Optimize risk management through ATR-based volatility adjustment
Provide early and consistent signals when trends emerge
✨ Key Features
Automatic POC Detection : Updates the volume profile over a defined lookback window in real time
ATR Zone Integration : Defines a POC ± 0.5 ATR zone to clarify potential reversals/breakouts
Visual Support : Plots the POC line and zones on the chart for intuitive decision-making
📊 Trading Rules
Long Entry:
Price breaks above the POC + 0.5 ATR zone
Volume is above average to support the breakout
Short Entry:
Price breaks below the POC - 0.5 ATR zone
Volume is above average to support the downside move
Exit (or Reverse Position):
Price returns to the POC area
Or touches the ATR band
⚙️ Trading Parameters & Considerations
Indicator Name: Volume Profile Auto POC
Parameters:
Lookback Bars: 50
Bins for Volume Profile: 24
ATR Length: 14
ATR Multiplier: 2.0
🖼 Visual Support
POC line plotted in red
POC ± 0.5 ATR zone displayed as a semi-transparent box
ATR bands plotted in blue for confirmation
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by traditional Volume Profile + ATR analysis,
while adding the improvement of a sliding-window mechanism for automatic POC updates.
Compared with conventional trend-following approaches,
its strength lies in combining both price and volume perspectives for decision-making.
✅ Summary
Volume Profile Auto POC automatically extracts key market levels (POC) and combines them with ATR-based zones,
providing a responsive trend-following method.
It balances clarity with practicality, aiming for both usability and reproducibility.
⚠️ This strategy is based on historical data and does not guarantee future profits.
Always use proper risk management when applying it.
