Liquidity HeatmapLiquidity Heatmap – POC and Value Area.
A rolling volume-density profile rendered directly onto the price chart. Over a configurable lookback window the indicator distributes each historical bar's volume across every price bin its high-low range covered, then draws the resulting distribution as color-graded horizontal lines at each bin's midpoint. Point of Control and Value Area (70 % of total volume) are computed automatically, and a compact right-side histogram mirrors the profile in the future-offset zone. Built for intraday and swing traders who want a live, minimal read of where the market actually did business — the real liquidity anchors, not manual pivots.
How it works:
The indicator recalculates every N bars (default 5). On each recalc it finds the highest and lowest price of the lookback window, splits that range into a configurable number of bins (default 40), and iterates through every bar in the window. For each bar its volume — or a unit weight if volume weighting is disabled — is added to every bin whose price range the bar crossed. The result is a density array: the more time price stayed inside a bin and the higher the volume of those bars, the larger its density value. Bins are drawn as thin horizontal lines at their midpoints, with color and transparency scaled by the ratio of bin density to peak density.
The Point of Control is the bin with the largest total. Value Area is grown outward from POC, alternately taking whichever adjacent side holds more volume, until 70 % of the entire distribution is covered — VAH becomes the upper boundary of that region and VAL the lower. A right-side density histogram in the chart's offset zone re-renders the same profile in bar-chart form, and the level labels (POC / VAH / VAL) sit past the histogram so they never overlap the main heatmap. The information panel in the top-right corner shows the numeric price of each level and its signed percentage delta to the current close, color-coded green when the level sits above price, red when below, gray at parity.
What it calculates:
- Volume density per price bin over the lookback window
- POC — Point of Control, the bin with peak accumulated volume
- VAH — Value Area High, upper boundary of the 70 % volume region
- VAL — Value Area Low, lower boundary of the 70 % volume region
- Signed delta from current close to POC / VAH / VAL, in percent
Key features:
- Rolling recalculation every N bars for tunable CPU / responsiveness balance
- Volume weighting (default) or touch-count mode as a per-price frequency map — useful when volume data is unreliable
- Four-stop plasma color gradient (deep navy → violet → magenta → amber), every stop user-overridable via input.color
- Constant 1-pixel line width across all bins; visual weight is carried entirely by color intensity and transparency
- POC solid line and label placed past the offset histogram for readability
- VAH / VAL dashed lines extended all the way to their labels so the eye follows the level continuously
- Compact right-side density histogram in the future-offset area, mirroring the main profile in bar-chart form
- Top-right information panel with POC / VAH / VAL price and signed percentage delta to the current close, colored by side (green above / red below / gray at parity)
- Independent visibility toggles for POC and Value Area
- Adaptive bin geometry — resolution scales automatically with the price range of the lookback window
- Runs on any timeframe and any instrument; no external data sources required
Who it's for:
Intraday scalpers, swing traders, order-flow and Market Profile practitioners who need to see the true volume anchors of the current regime instead of hand-drawn horizontals. The color-graded strips make dominant liquidity walls, thin gaps and Value Area boundaries visually obvious at a glance, so attention goes to execution rather than to marking up the chart. Indicator
Visible Range Volume NodesVisible Range Volume Nodes is a visible-range volume profile indicator that shows how traded volume is distributed across price levels inside the currently visible chart area.
The script builds a horizontal volume profile from the candles visible on the chart. It divides the visible price range into rows and distributes each candle's volume across the price rows touched by that candle's high-low range. Rows with more accumulated volume are displayed wider. Rows with less accumulated volume are displayed narrower.
How volume is calculated
Each candle's volume is distributed proportionally across the price rows covered by that candle's high-low range. If a candle covers several rows, its volume is split between those rows based on the amount of price overlap.
Bullish and bearish volume are separated using candle direction:
* Candles closing above their open are counted as bullish volume;
* Candles closing below their open are counted as bearish volume;
* Neutral candles are split evenly.
Key Volume Areas
POC - Point of Control
POC is the price row with the highest volume inside the visible range. It marks the largest volume concentration in the selected chart area.
VAH - Value Area High
VAH is the upper boundary of the value area.
VAL - Value Area Low
VAL is the lower boundary of the value area.
The value area starts from the POC and expands through the highest-volume neighboring rows until the selected percentage of total visible-range volume is included. By default, this is commonly used as a 70% value area, but the percentage can be changed in the settings.
HVN - High Volume Node
HVN zones are high-volume areas detected from local peaks in the smoothed volume profile. These zones show where volume was concentrated compared with nearby price levels.
LVN - Low Volume Node
LVN zones are low-volume areas detected from local valleys in the smoothed volume profile. These zones show where volume was thinner compared with nearby price levels.
How to use it
The profile can help users compare current price action with previously traded volume areas inside the selected visible range:
* POC shows the main high-volume reference area of the visible range;
* VAH and VAL show the upper and lower limits of the main value area;
* HVN zones show areas where price previously spent more volume;
* LVN zones show areas where volume was thinner relative to nearby price levels;
* The histogram shows the full volume distribution across the selected price range.
A trader can use these areas as context when analyzing price location. For example, price trading near POC is trading near the main volume concentration of the visible range. Price trading near VAH or VAL is trading near the edge of the calculated value area. HVN and LVN zones can be used to compare current price behavior with areas of stronger or weaker previous volume participation.
These levels should be treated as structural references only. They are not automatic entries, exits, support, resistance, targets, or invalidation levels.
Main settings
* Profile Rows controls how many price rows are used to build the volume profile. More rows create a more detailed profile. Fewer rows create a smoother, broader profile;
* Value Area % controls how much of the visible-range volume is included inside the value area;
* Histogram Direction controls whether the profile is displayed to the left or right side of the visible chart area;
* Profile Distance controls the spacing between the visible candles and the profile panel;
* The script also includes settings for showing or hiding POC, VAH/VAL, HVN, LVN, labels, prices in labels, line style, line width, label size, and colors.
Limitations
*This indicator does not generate buy or sell signals;
*It does not predict future price direction;
*It does not define guaranteed support or resistance;
*It does not use exact bid/ask volume;
*It does not use footprint, delta, or order book data.
The displayed structure depends on the selected visible range, symbol, exchange, timeframe, and available volume data.
Because the profile is based on the currently visible chart range, moving or zooming the chart can change the calculated POC, value area, HVN zones, and LVN zones.
Indicator
Auction Intelligence█ AUCTION INTELLIGENCE
Auction Market Theory Overlay
An Auction Market Theory (AMT) overlay that analyzes market structure through volume profile analysis. It detects profile shape (D/P/b/DD), identifies balance vs. imbalance states, and tracks value migration — giving you the same auction-based framework used by institutional traders to understand market behavior.
Free and Open Source.
█ THE CONCEPT: WHY AUCTION MARKET THEORY MATTERS
Standard indicators tell you what happened. AMT tells you why . Markets are continuous two-sided auctions where buyers and sellers negotiate fair value:
Balance — Price rotates within an accepted value area. Expect mean-reversion and range-bound trading.
Imbalance — Price breaks away from the value area. One side dominates. Expect continuation.
Profile Shape — The distribution of volume tells you who is in control and what to expect next.
Value Migration — The direction where the POC and Value Area are shifting reveals the underlying trend.
█ CORE FEATURES
1. Volume Profile Engine
Distributes each bar's volume proportionally across price rows, building a volume-at-price distribution:
POC (Point of Control) — Highest volume row = strongest S/R level
VAH (Value Area High) — Upper boundary of the 70% value area = resistance
VAL (Value Area Low) — Lower boundary of the 70% value area = support
2. Profile Shape Detection
Automatically classifies the volume distribution into four distinct shapes:
D-shape — Balanced. Volume evenly distributed, POC near center. Expect rotation.
P-shape — Bullish. Volume concentrated in upper half. Buyers in control.
b-shape — Bearish. Volume concentrated in lower half. Sellers in control.
DD (Double Distribution) — Two distinct volume clusters. Market transitioning between value areas.
3. Balance vs. Imbalance Recognition
Three-factor analysis combining price position, VA width dynamics, and trend strength. The chart background colors automatically when imbalance is detected (cyan = bullish discovery, red = bearish discovery).
4. Value Migration Tracker
Monitors how the POC and Value Area midpoint shift over time:
Bullish Migration ▲ — POC and VA migrating higher = institutional buying
Bearish Migration ▼ — POC and VA migrating lower = institutional selling
Neutral ─ — No significant migration = consolidation
█ AUTO-TIMEFRAME ADAPTATION
All parameters automatically adjust based on the chart timeframe:
1-5 min → Lookback 30, 18 Rows, Migration Len 5
15-30 min → Lookback 40, 20 Rows, Migration Len 8
1 Hour → Lookback 50, 24 Rows, Migration Len 10
4 Hour → Lookback 70, 28 Rows, Migration Len 15
Daily → Lookback 100, 32 Rows, Migration Len 20
Weekly+ → Lookback 150, 40 Rows, Migration Len 30
Disable Auto-TF to use manual settings for full control.
█ DASHBOARD
A compact, dark-themed info panel displaying:
State — Current AMT state (BALANCE / IMBALANCE) with context
Shape — Detected profile shape (D / P / b / DD) with description
Migration — Value migration direction and strength
Position — Current price position relative to Value Area
POC / VAH / VAL — Key volume-based levels
█ ALERTS (4 CONDITIONS)
Balance → Imbalance — Market leaving the value area
Imbalance → Balance — Market returning to the value area
Profile Shape Changed — Volume distribution pattern shift
Value Migration Shift — Directional bias change in POC/VA migration
█ PRO VERSION
The PRO version (Auction Intelligence PRO v2.0) adds:
Initial Balance Range — IB Tracking + IB Extension Detection
Failed Auction Detection — VA Breakout Failures
Excess & Poor High/Low — Wick analysis at session extremes
Auction Rotation Factor — POC-cross frequency as market efficiency measure
Day Type Classification — Trend/Normal/Normal Var./Neutral/Double Dist. (Dalton)
Previous Day Value Area — PDPOC/PDVAH/PDVAL as reference levels
Enhanced Confluence Score — 0-12 scale with A+ to D grading
13 Alert Conditions
█ NON-REPAINTING
The volume profile is calculated from confirmed bar data only. The rolling lookback window recalculates on each confirmed bar using historical high/low/volume — no future data is used. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicator
Volume Profile█ VOLUME PROFILE
Volume-at-Price Analysis with POC, VAH & VAL
A powerful volume-at-price analysis overlay that calculates and visualizes the Point of Control (POC) , Value Area High (VAH) , and Value Area Low (VAL) directly on your chart. It reveals where the most trading activity occurred and provides real-time price position analysis — helping you identify high-probability support/resistance levels and mean-reversion zones.
Free and Open Source.
█ THE CONCEPT: WHY VOLUME PROFILE MATTERS
Price charts show when trading happened. Volume Profile shows where it happened. The distribution of volume across price levels reveals the market's true valuation zones:
Point of Control (POC) — The price with the highest accumulated volume. Acts as a magnet for price and the strongest single S/R level.
Value Area (70%) — The range containing 70% of all traded volume. Defines what the market considers "fair value."
Above/Below VA — Price outside the value area signals potential overextension or breakout.
Institutional traders, market makers, and algorithmic systems all reference volume profile levels.
█ CORE FEATURES
1. Volume Profile Engine
Distributes each bar's volume proportionally across the price rows it spans, building a precise volume-at-price histogram:
POC — Highest volume row = strongest support/resistance
VAH — Upper boundary of the 70% value area = resistance
VAL — Lower boundary of the 70% value area = support
Row count is configurable (10-50 levels).
2. Profile Anchoring
Three anchor modes control how the profile is built:
Rolling — Continuously recalculated over the last N bars. Best for real-time analysis.
Session — Resets every new trading day. Best for intraday context.
Week — Resets every new trading week. Best for swing context.
3. Price Position Analysis
Real-time classification of price relative to the value area:
ABOVE VA — Potential overextension or breakout
BELOW VA — Potential undervaluation or breakdown
AT POC — High-probability mean-reversion zone
IN VA — Normal trading range
4. Bounce & Rejection Signals
Automatic detection of price interaction with key volume levels:
POC Bounce Up/Down — Price touches POC and reverses
VAL Rejection — Price tests VAL and bounces up (bullish)
VAH Rejection — Price tests VAH and bounces down (bearish)
5. Volume Histogram Visualization
A horizontal bar chart displayed directly on the price chart showing the volume distribution. POC row highlighted with a distinct color.
█ AUTO-TIMEFRAME ADAPTATION
All parameters automatically adjust based on the chart timeframe:
1-5 min → Lookback 30, 18 Rows, Histogram Width 8
15-30 min → Lookback 40, 20 Rows, Histogram Width 10
1 Hour → Lookback 50, 24 Rows, Histogram Width 15
4 Hour → Lookback 70, 28 Rows, Histogram Width 18
Daily → Lookback 100, 32 Rows, Histogram Width 22
Weekly+ → Lookback 150, 40 Rows, Histogram Width 30
█ DASHBOARD
A compact, dark-themed info panel displaying:
POC — Current Point of Control price level
VAH / VAL — Value Area boundaries
Position — Current price position (ABOVE VA / BELOW VA / AT POC / IN VA)
To POC — Distance from current price to POC in percent
Anchor — Active profile anchor mode
VA Range — Width of the value area in price units
█ ALERTS (4 CONDITIONS)
POC Bounce Up — Bullish bounce off the Point of Control
POC Bounce Down — Bearish bounce off the Point of Control
VAL Rejection — Bullish rejection at Value Area Low
VAH Rejection — Bearish rejection at Value Area High
█ NON-REPAINTING
The volume profile is calculated from confirmed bar data only. Rolling mode recalculates the full lookback window on each bar using historical high/low/volume — no future data is used. Session and Week modes accumulate incrementally within the anchor period. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicator
AG Pro Volume Profile POC Magnet Map [AGPro Series]AG Pro Volume Profile POC Magnet Map
Overview
AG Pro Volume Profile POC Magnet Map is a chart-overlay indicator built around one practical question: how strongly is the current Point of Control attracting, holding, or losing price?
Instead of trying to replicate a full volume-profile workstation, this script focuses on the behavior of the active POC and the surrounding value area. The goal is to turn a familiar volume-profile concept into a cleaner decision-support map that helps users judge whether price is still interacting with the current fair-value center, rejecting it, reclaiming it, or beginning to establish value elsewhere.
The script is designed for users who want a visual framework around POC behavior without covering the chart with heavy histogram structures or overly complex dashboards. It highlights the active POC, the current Value Area High (VAH), the current Value Area Low (VAL), a compact magnet band around the POC, and a small set of reaction labels that describe how price is interacting with that area.
In short, this indicator is not trying to tell users what to buy or sell. It is trying to make one specific market reference more readable: the relationship between price and the current POC region.
What the script does
At a high level, the script does five things:
1) It builds a fixed-lookback volume-distribution map from recent chart data.
2) It derives the active POC, VAH, and VAL from that distribution.
3) It measures how close price is to the current POC and how often price revisits or accepts that region.
4) It converts those observations into a compact Magnet Score and state readout.
5) It marks a small set of price/POC interaction events such as Tag, Reject, and Reclaim.
The result is a visual tool that combines reference levels and contextual interpretation in one overlay.
Unique edge
Many indicators can show a POC. This script is built to answer a more specific question: what is the quality of the current POC as a magnet for price?
That difference matters. A raw POC line can be useful, but by itself it does not explain whether price is repeatedly returning to it, drifting away from it, rejecting it, or stabilizing around it. This script adds that missing context by combining the active POC with a behavior layer.
The design goal is not “more features.” The design goal is clearer interpretation:
- Is price still accepting the current value center?
- Is the POC functioning as a pullback magnet?
- Is price rejecting the area instead of accepting it?
- Is value beginning to migrate?
That is the role of the score, the state engine, and the reaction labels.
Methodology
The script uses a fixed lookback window and divides the recent price range into user-defined bins. It then allocates each bar’s volume to one price bin using the selected bar source, which can be Close or HLC3. From that distribution it identifies:
- POC: the highest-volume bin in the lookback window
- VAH: the upper boundary of the selected value area percentage
- VAL: the lower boundary of the selected value area percentage
After the levels are derived, the script evaluates how price is behaving relative to the active POC region.
The Magnet Score is built from multiple components:
- Distance: how far current price is from the POC, normalized by ATR
- Revisit behavior: how often price has returned to the POC region
- Acceptance behavior: how often price has closed near the POC region
- Stability: whether the POC is relatively stable or drifting quickly
- Rejection pressure: whether interactions with the POC region are ending in rejection rather than acceptance
These components are combined into a bounded 0-100 score. Higher readings suggest that the current POC remains a stronger center of attraction. Lower readings suggest weaker pull, weaker acceptance, or a market beginning to operate away from the current value center.
The script then classifies context into states such as:
- Magnet Strong
- Magnet Active
- POC Tagged
- POC Rejected
- Accepted Away
- Magnet Weakening
This state layer is designed to summarize the current context rather than generate automatic trading instructions.
How to read the chart
POC
The POC is the main reference line. It marks the highest-volume price zone inside the selected lookback distribution. If price repeatedly returns to it, reacts from it, or consolidates around it, that line is functioning as an active center of interest.
VAH and VAL
VAH and VAL define the current value-area boundaries. These help users judge whether price is still operating inside value or beginning to establish acceptance above or below it.
Magnet band
The magnet band is a narrow region around the POC. It exists to make POC interaction easier to read visually. It is not a claim that every touch is meaningful. It is simply a compact visual tolerance zone around the active POC.
Reaction labels
The script can display a small set of event labels:
- Tag: price reached the current POC region
- Reject: price interacted with the area and moved away
- Reclaim: price crossed back through the active POC after being on the other side
These labels are meant to help describe interaction, not to replace confirmation logic, risk management, or broader market context.
Panel
The panel summarizes:
- Magnet Score
- POC Distance
- POC Drift
- Value Context
- Last Reaction
- Current POC / VAH / VAL values
This gives users a quick status view without needing to inspect every line manually.
Typical use cases
This indicator may be useful when users want to:
- monitor whether pullbacks are still returning to the active POC
- judge whether price is still auctioning inside value or beginning to accept away from value
- compare different symbols for how “sticky” the current POC region appears to be
- add context to an existing structure, trend, or mean-reversion workflow
- keep a cleaner chart while still tracking basic volume-profile behavior
The script is intended as a context and interpretation layer. It is not a complete trading plan on its own.
Key inputs
Lookback Bars
Controls the size of the historical window used for the profile calculation. A larger value creates a broader context. A smaller value makes the profile more reactive.
Rows / Bin Count
Controls profile granularity. Higher values create more detailed binning. Lower values produce a smoother, simpler map.
Value Area %
Defines how much of total lookback volume is included inside the value area used to derive VAH and VAL.
Price Source For Bin Allocation
Lets users choose whether each bar’s volume is allocated using Close or HLC3. This changes how the profile is distributed across bins.
ATR Length
Used in normalization and spacing calculations, including the distance component and label positioning.
Magnet Band Width (ATR)
Controls the thickness of the tolerance zone around the active POC.
Distance Ceiling (ATR)
Caps how far price can be from the POC before the distance component is treated as maximally weak.
Revisit Window and Acceptance Window
These affect how the script measures repeated interaction and acceptance around the active POC region.
POC Drift Lookback
Used to estimate whether the active POC is relatively stable or shifting.
Label controls
Users can adjust label visibility, density, cooldown behavior, and right-edge line labels to keep the chart cleaner or more descriptive depending on preference.
Alerts
The script includes alert conditions for:
- POC Tag
- POC Reject
- POC Reclaim
- Magnet Strong
- Magnet Active
- Magnet Weakening
- Accepted Away
These alerts are event-based notifications tied to the script’s contextual logic. They are not performance claims and they should not be interpreted as guaranteed entry or exit signals.
Limitations and transparency
This script uses a fixed-lookback, bar-based approximation of volume distribution. It does not reconstruct native exchange-level order flow, bid/ask delta, or true tick-by-tick auction detail.
Volume is allocated to bins using a selected bar source rather than full intrabar volume-at-price reconstruction. That means the profile is intentionally simplified so it can remain lightweight and readable inside a standard Pine overlay.
Because the script uses a rolling lookback window, the active POC, VAH, and VAL can change as older bars leave the window and newer bars enter it. That is normal behavior for this design.
The reaction labels are descriptive, not predictive. A Tag does not imply reversal. A Reject does not guarantee continuation. A Reclaim does not guarantee trend resumption. They are context markers showing how price interacted with the current POC area according to the script’s definitions.
This tool should be read in conjunction with price structure, volatility, liquidity conditions, and user-defined execution rules.
What this script is not
This script is not:
- a full session volume-profile suite
- an order-flow or footprint tool
- a prediction engine
- a guaranteed reversal detector
- a stand-alone trade system
It is a focused overlay for interpreting how price is behaving around the current Point of Control and value-area structure.
Practical interpretation notes
In many markets, the POC acts like a reference area rather than a directional signal. The more often price returns to it and the more often price stabilizes near it, the more useful that region can become as a working fair-value reference.
By contrast, when price begins to hold above VAH or below VAL and stops interacting meaningfully with the POC region, the script may shift toward weaker magnet states or accepted-away context. That does not automatically imply trend continuation, but it does suggest that the current value center may be losing influence.
Users may find this especially useful when comparing:
- balanced conditions vs. directional conditions
- shallow pullbacks vs. deeper value retests
- symbols that keep rotating through value vs. symbols that are clearly accepting away from it
Risk disclosure
This indicator is for chart analysis and market context only. It does not provide investment advice, trading advice, or guaranteed outcomes.
All indicators simplify market behavior. This script is no exception. Markets can ignore previously important value references, react differently across symbols and timeframes, and change behavior as volatility regimes shift.
Users are responsible for their own confirmation process, execution decisions, and risk management. Indicator
Stratum Depth Profile [JOAT]Stratum Depth Profile
Introduction
The Stratum Depth Profile is an open-source volume profile indicator built in Pine Script v6. It calculates and displays a real-time Volume Profile histogram directly on the price chart, identifying the Point of Control (POC), Value Area High (VAH), Value Area Low (VAL), and classifying price zones as High Volume Nodes (HVN) or Low Volume Nodes (LVN). The indicator separates buying and selling volume within each price level, calculates a context score based on where price sits relative to the profile, and detects institutional signals like POC reclaims, Value Area breakouts, absorption events, and delta imbalances.
Unlike simple volume bars beneath the chart, this indicator maps volume across price levels to show where the most trading activity occurred. The POC represents the price level with the highest traded volume — a natural magnet for price. The Value Area contains the configurable percentage (default 70%) of total volume, defining the range where most participants agreed on value. Price outside the Value Area is in a statistical extreme and tends to revert or accelerate.
Why This Indicator Exists
Volume Profile is one of the most powerful tools in institutional trading, but most implementations on PulseWire either require paid subscriptions, lack delta separation, or do not provide context scoring. This indicator addresses those gaps:
Full Volume Profile Calculation: Bins volume across configurable price levels over a lookback period, producing a true histogram of volume by price
Bull/Bear Delta Separation: Each price level's volume is split into buying volume (close > open candles) and selling volume (close < open candles), revealing who controls each level
POC / VAH / VAL Detection: Automatically identifies the Point of Control and expands outward to find the Value Area boundaries containing the specified percentage of total volume
Context Scoring: A 0-100 score based on price position relative to the profile (above VAH, at POC, below VAL, etc.) combined with SMA alignment, giving a quick read on the current market context
Institutional Signal Detection: POC Reclaim, POC Rejection, VA Breakout, Absorption, Delta Imbalance, and Zone Shift events with anti-overlap cooldowns
HVN/LVN Classification: Identifies which price levels have concentrated volume (support/resistance) versus thin volume (fast-move zones)
How Volume Profile Calculation Works
The indicator divides the price range of the lookback period into a configurable number of rows (default 24). For each bar within the lookback, it determines which price bin the bar's activity falls into and accumulates volume. The calculation separates bullish and bearish volume:
// For each bar in the lookback, assign volume to the appropriate price bin
// Bullish volume: bars where close > open
// Bearish volume: bars where close < open
// POC = price bin with the highest total volume
// Value Area = expand from POC until cumulative volume >= vaPct% of total
The POC is the single price level where the most volume was traded — it acts as a magnet because it represents the price at which the most participants found value. The Value Area expands symmetrically from the POC, adding the next-highest adjacent bins until the specified percentage of total volume is captured.
Bull/Bear Delta at Each Level
What makes this profile unique is the delta separation within each price bin. Instead of just showing total volume, the histogram displays bullish volume (green/teal) and bearish volume (pink/red) side by side at each price level. This reveals:
A POC dominated by buying volume suggests buyers control the key level — bullish bias
A POC dominated by selling volume suggests distribution — bearish bias
VAH with heavy selling indicates resistance with institutional distribution
VAL with heavy buying indicates support with institutional accumulation
Levels where bull and bear volume are roughly equal indicate genuine two-way auction — balanced market
Context Scoring System
The context score (0-100) provides an at-a-glance assessment of the current market state relative to the volume profile:
Price Zone Component: Where price sits relative to POC, VAH, and VAL. Price above VAH or below VAL scores higher (trending/breakout conditions). Price near POC scores for mean-reversion potential.
SMA Alignment Component: Whether the 20, 50, and 200 SMAs are aligned in a trending configuration. Full bull alignment (20 > 50 > 200) or bear alignment adds to the score.
POC Proximity: How close price is to the POC level — useful for identifying mean-reversion opportunities or confirming that price is at a key decision point.
Delta Direction: Whether the current cumulative delta supports the price direction.
Institutional Signals
The indicator detects six types of institutional events, each with anti-overlap cooldowns to prevent label stacking:
POC Reclaim: Price crosses above the POC after being below it — indicates buyers are reclaiming the most-traded level, often a bullish continuation signal
POC Rejection: Price approaches the POC and reverses away — the POC is acting as resistance or support
VA Breakout: Price closes outside the Value Area — a statistical extreme that often leads to trend continuation or a sharp reversion
Absorption: High volume with small price range (Wyckoff Effort vs Result) — institutional orders are being filled without moving price, often preceding a directional move
Delta Imbalance: The buy/sell volume ratio at the current level is heavily skewed, indicating one-sided institutional flow
Zone Shift: The Value Area boundaries shift significantly between profile recalculations, indicating a change in the accepted value range
Visual Design
The indicator uses a "Midnight Neon" color theme with electric blues, hot pinks, neon violets, and lime accents on a dark background:
VP Histogram: Horizontal bars drawn as boxes, with bull volume in neon teal and bear volume in hot pink. A sin-based gradient provides smooth color transitions across the histogram.
POC Line: Bright electric blue line at the highest-volume price level, with a label showing the exact price
VAH/VAL Lines: Neon violet lines marking the Value Area boundaries
SMA Lines: 20/50/200 SMAs with neon glow effect for trend context
Signal Labels: Color-coded labels for each institutional signal type with cooldown-based anti-overlap
Context Score: Displayed in the HUD with color coding (green for high scores, amber for moderate, red for low)
HUD Dashboard
The real-time HUD displays key metrics:
POC price level and proximity state (At POC, Near POC, Away)
VAH and VAL price levels with current zone (Above VA, In VA, Below VA)
Context Score (0-100) with color coding
POC Delta direction (Buyers/Sellers/Balanced)
Current Delta value and direction
Effort/Result ratio (Wyckoff absorption detection)
SMA Alignment state (Bull Aligned, Bear Aligned, Mixed)
Volume Ratio (current vs 20-bar average)
Imbalance classification
Input Parameters
Volume Profile:
Lookback (bars): Number of bars to calculate the profile over (default: 100)
Price Levels: Number of horizontal bins to divide the price range into (default: 24)
Value Area %: Percentage of total volume to include in the Value Area (default: 70%)
Display:
Display Mode: Full (histogram + lines), Minimal (lines only), or Off
Histogram Width: How many bars wide the histogram extends (default: 12)
Show SMA Lines: Toggle 20/50/200 SMA overlay
Show Signals: Toggle institutional signal labels
Signal Cooldown: Minimum bars between signals (default: 5)
Show HUD Panel: Toggle the information dashboard
How to Use This Indicator
Step 1: Identify the Value Area
The area between VAH and VAL represents where 70% of volume was traded. Price inside this range is in "fair value." Price outside is in a statistical extreme.
Step 2: Watch the POC
The POC is the strongest magnet on the chart. If price is away from the POC, expect a pull back toward it unless strong momentum keeps price moving. If price is at the POC, watch for a directional break.
Step 3: Read the Delta
Check whether the POC is buyer-dominated or seller-dominated. A buyer-dominated POC in a bullish SMA alignment is a strong confluence for longs. A seller-dominated POC with bearish alignment favors shorts.
Step 4: Use Signals for Timing
POC Reclaim and VA Breakout signals provide timing for entries. Absorption signals warn that a move is being loaded. Delta Imbalance confirms directional conviction.
Step 5: Context Score for Quick Assessment
A context score above 70 suggests strong directional conditions. Below 30 suggests choppy or mean-reverting conditions. Use this to decide whether to trade aggressively or wait.
Best Practices
Volume Profile is most meaningful on instruments with reliable volume data — major forex pairs, large-cap equities, crypto majors
The lookback period should match your trading timeframe. Day traders might use 50-100 bars on a 5-minute chart. Swing traders might use 100-200 bars on a 1-hour chart.
More price levels (rows) give finer resolution but can make the histogram harder to read. 20-30 rows is a good balance.
The POC is not a guaranteed support/resistance level — it is a probability zone. Use it with other confluence factors.
VA Breakouts can be false. Confirm with volume and momentum before trading a breakout above VAH or below VAL.
The delta separation is estimated from candle direction (close vs open), which is an approximation. True tick-level delta requires exchange data not available in Pine Script.
During low-volume periods, the profile may be less representative of true institutional positioning.
Limitations
Volume Profile calculation is computationally intensive. Very large lookback periods (500+ bars) with many price levels may slow chart loading.
The profile is recalculated on each bar, so the POC and VA boundaries can shift as new volume data arrives. This is by design — the profile reflects the most current volume distribution.
Buy/sell volume separation uses candle direction as a proxy, not actual order flow data. This is the standard approximation available in Pine Script.
The indicator draws boxes for the histogram, which counts against PulseWire's drawing object limits. The max_boxes_count is set to 500.
On instruments with inconsistent volume reporting (some forex brokers, illiquid stocks), the profile may not accurately represent true volume distribution.
The context score is a heuristic, not a statistical model. It provides a useful summary but should not be the sole basis for trading decisions.
Technical Implementation
Built with Pine Script v6 using:
Custom volume profile calculation with configurable resolution and lookback
Bull/bear volume separation at each price bin
Value Area expansion algorithm (symmetric outward from POC)
Pre-allocated drawing objects updated via set() methods for performance
Sin-based gradient coloring for smooth histogram visual transitions
barstate.isconfirmed gating on all signal generation
Anti-overlap cooldown system for institutional signals
SMA alignment scoring integrated with profile-based context
Alert conditions for POC Reclaim, VA Breakout, Absorption, Delta Imbalance, and Zone Shift
Originality Statement
This indicator is original in its integration of volume profile analysis with institutional signal detection and context scoring. While volume profile calculation is a known concept, this indicator is justified because:
It combines VP histogram visualization with real-time bull/bear delta separation at each price level, revealing who controls each zone
The context scoring system synthesizes price position, SMA alignment, POC proximity, and delta direction into a single actionable metric
Institutional signal detection (POC Reclaim, Absorption, Delta Imbalance) is derived directly from the volume profile data rather than being a separate overlay
The sin-based gradient coloring and Midnight Neon theme provide clear visual hierarchy without the visual noise common in VP indicators
Pre-allocated drawing objects with set() updates provide significantly better performance than creating/deleting objects each bar
The HVN/LVN classification helps traders quickly identify where price will find support/resistance versus where it will move quickly
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Volume Profile analysis shows where volume was traded historically — it does not predict where price will go. The POC, VAH, and VAL are probability zones, not certainties. Past volume distributions do not guarantee future price behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator.
-Made by officialjackofalltrades
Indicator
Double Edge VP🔷 Double Edge VP
━━━━━━━━━━━━━━━━━━━
Two institutional-grade tools. One indicator. Zero compromise.
This script brings together a dynamic Visible Range Volume Profile and a
non-repainting Double Bottom / Double Top pattern detector into a single
seamless overlay.
If you trade with volume context and price action structure together, this
is the only indicator you need on your chart.
─────────────────────────────────────────────────────────────
🔹 MODULE 1 — VISIBLE RANGE VOLUME PROFILE (VRVP)
─────────────────────────────────────────────────────────────
Most volume profiles are anchored to a fixed session or a manually selected
range. This one is different. The VRVP dynamically recalculates on every
incoming tick based on the exact bars currently visible on your screen.
Scroll left. Zoom in. Zoom out. The profile instantly rebuilds itself to
show the volume distribution for whatever price range you are looking at.
This is how professional traders use volume — not locked to a calendar
session, but alive and responsive to the context they are analyzing.
📌 Point of Control (POC)
The price row with the highest traded volume across the entire visible range.
This is the most accepted price level — the market's center of gravity.
Displayed as a bold golden dashed line spanning the full visible range with
a price label on the right edge. Price has a strong tendency to return to
the POC after extended moves away from it.
📌 Value Area — VAH & VAL
The zone containing 70% of all volume traded in the visible range (percentage
is fully adjustable). Based on the standard Auction Market Theory convention
used by professional futures and equity traders worldwide.
• Price trading inside the Value Area = fair value, expect rotation
• Price trading outside the Value Area = potential imbalance and opportunity
VAH and VAL are rendered as cyan dashed lines with a semi-transparent fill
between them, making the zone immediately readable at any zoom level.
📌 High Volume Nodes (HVN)
Rows where volume is at or above a configurable threshold relative to the POC
(default 75%). These are areas where the market spent significant time and
accepted price — they act as strong support and resistance levels. Price
frequently slows down, consolidates, or reverses at HVNs. Highlighted in teal.
📌 Low Volume Nodes (LVN)
Rows where volume is at or below a configurable threshold relative to the POC
(default 20%). These are price inefficiency zones — areas the market moved
through quickly with minimal acceptance. Price tends to travel rapidly through
LVNs in both directions and often returns to fill them later. Highlighted in red.
📌 Bull / Bear Volume Split
Every profile row is colored by directional dominance — green when buyer-
initiated volume exceeds seller-initiated, red when the opposite is true.
This gives you immediate insight into who controlled each price level, not
just how much volume traded there.
📌 Volume Labels Inside Every Bar
Each profile row displays its actual volume quantity directly inside the bar
itself — for example: 13.926K, 437, 2.8K. This is rendered using Pine
Script's box text parameter rather than label objects, which means every
single row is labeled regardless of Pine's 50-label hard cap. No rows are
ever skipped or silently dropped.
📌 Net Delta Box
The row with the largest absolute imbalance between buyer and seller volume
receives a standalone colored overlay showing the signed delta value —
for example -142 or +3.2K. Red background indicates net selling pressure.
Green background indicates net buying pressure. This single number tells
you where the market's sharpest directional commitment occurred.
─────────────────────────────────────────────────────────────
🔹 MODULE 2 — DOUBLE BOTTOM & DOUBLE TOP DETECTOR (DB/DT)
─────────────────────────────────────────────────────────────
Double Bottoms and Double Tops are among the most reliable reversal patterns
in technical analysis — but most detectors repaint, trigger too early, or
draw signals before the pattern is actually confirmed. This one does not.
Every signal in this detector is generated only after three conditions are
simultaneously true:
1. Two comparable pivot lows (or highs) have been confirmed with full
symmetric lookback on both sides — meaning the pivot cannot be detected
until the required number of bars has passed after it.
2. The price difference between the two pivots falls within your defined
tolerance threshold, ensuring genuine structural similarity.
3. The neckline has been broken by a configurable number of consecutive
bar closes in the signal direction — filtering out wicks, spikes, and
intra-bar noise that would otherwise produce false entries.
Once all three conditions are met, the signal is final and will never be
removed or moved to a different bar.
📌 Double Bottom — Bullish Reversal
Detects two pivot lows of similar price within a configurable bar window.
The neckline is automatically set to the highest high between the two bottoms.
A Long signal fires after the required number of consecutive closes above
the neckline. The indicator draws the "W" pattern connectors, DB labels at
both pivot points, a Long ↗ entry label, and the TP level line.
📌 Double Top — Bearish Reversal
Mirror logic of the Double Bottom. Two pivot highs of similar price within
the bar window. The neckline is the lowest low between the two tops. A Short
signal fires after consecutive closes below the neckline. Draws the "M"
pattern connectors, DT labels, a Short ↘ entry label, and the TP level line.
📌 7 TP / SL Calculation Modes
Choose the method that fits your trading style:
Bottom-to-Neckline → TP projected by the full pattern height (classic AMT)
R/R Ratio → Fixed reward-to-risk multiple, e.g. 2:1 or 3:1
ATR → Levels scaled dynamically by Average True Range
Percent → Fixed percentage distance from entry price
Points → Fixed point distance using syminfo.mintick
Pips → Fixed pip distance for forex instruments
Ticks → Fixed tick distance for futures instruments
📌 Trailing Stop Loss
When enabled, the stop loss moves in the direction of the trade as price
moves favorably, locking in profit while never widening risk. The trail
distance is fixed as the original entry-to-SL gap so your initial risk
profile is always preserved.
📌 TP Visual — Offset Dotted Line
The Take Profit level is displayed as a two-part line: a faint dotted
connector from the signal bar leading to a bold dotted TP segment that
begins a configurable number of bars to the right. This keeps the area
directly around the signal bar clean and readable — the same presentation
style used in institutional strategy publications.
─────────────────────────────────────────────────────────────
📊 LIVE STATISTICS TABLE
─────────────────────────────────────────────────────────────
A performance tracking table displays in your chosen screen position and
updates in real time as new patterns are detected across full chart history.
Tracked separately for Double Bottoms and Double Tops:
→ Total patterns detected
→ Trades triggered (neckline-confirmed signals only)
→ TP hits and SL hits (including trailing stop results)
→ Win rate % — color coded green above 50%, red below
→ Bar distance between pattern points: Min / Average / Median / Max
→ Price % difference between pattern points: Min / Average / Median / Max
Table position is fully configurable: Bottom Right, Bottom Left, Top Right,
Top Left, Middle Right, or Middle Left.
─────────────────────────────────────────────────────────────
🔔 ALERTS
─────────────────────────────────────────────────────────────
Two alert conditions fire on bar close — one for Long signals (Double Bottom
confirmed) and one for Short signals (Double Top confirmed).
Both messages are fully customizable and include the standard PulseWire
dynamic placeholders {{ticker}}, {{interval}}, and {{close}} .
─────────────────────────────────────────────────────────────
⚙️ SETTINGS AT A GLANCE
─────────────────────────────────────────────────────────────
All inputs are organized into clearly labeled groups in the settings panel:
Profile → Rows, Value Area %, HVN threshold, LVN threshold
Visual → Profile width, POC / VA / fill / text / delta toggles
Colors → Full color control for every profile element
Detection → Pivot length, bar range, % tolerance, confirm bars,
enable/disable DB and DT independently
TP/SL → Mode selector, ATR settings, % / Points / Pips inputs,
trailing stop toggle, TP line offset and length
Visual → Colors for dots, necklines, signals, pattern lines,
label size, dot size, show/hide toggles
Table → Show/hide, position, text size
Alerts → Custom long and short alert message text
─────────────────────────────────────────────────────────────
📐 TECHNICAL TRANSPARENCY
─────────────────────────────────────────────────────────────
• max_boxes_count = 500 | max_lines_count = 500 | max_labels_count = 500
• VRVP runs only on barstate.islast — profile boxes are cleared and rebuilt
every tick using pooled drawing arrays
• DB/DT runs every bar using individually named persistent var handles —
the two modules share zero drawing objects
• Volume labels use box.new(text=...) to bypass the 50-label hard cap
• All DB/DT signals are strictly non-repainting — confirmed on bar close only
• Trailing stop ratchets forward only, never widens, preserves original risk
─────────────────────────────────────────────────────────────
📌 RECOMMENDED USE
─────────────────────────────────────────────────────────────
This indicator is designed for traders who combine volume analysis with price
action structure. The VRVP provides the context — where volume was accepted,
where it was rejected, and what the market considers fair value right now.
The DB/DT detector provides the trigger — confirmed structural reversals at
levels where the volume profile gives you a reason to act.
Best suited for:
→ Liquid instruments with reliable volume data
(Equities, Futures, Crypto spot markets)
→ Intraday and swing timeframes (1m through Daily)
→ Traders familiar with Auction Market Theory
→ Traders who want pattern detection without repainting
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Use the VRVP to understand where the market has been.
Use the DB/DT detector to anticipate where it is going next.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Disclaimer: This indicator is for educational purposes only. Always practice proper risk management and combine with your own analysis before making trading decisions. Happy trading. Indicator
Liquidity Structure & Order Flow [UAlgo]Liquidity Structure & Order Flow is a range based market participation tool that combines a custom volume profile, value area analysis, liquidity void detection, and unusual volume tagging into a single chart overlay. Its goal is to show not only where volume has concentrated across price, but also how that activity was distributed between estimated buying pressure and selling pressure inside the recent market structure.
The script begins by scanning a rolling lookback range, then divides that vertical price space into a configurable number of bins. Each bin becomes a price segment that stores estimated buy volume, sell volume, and total volume. From there, the script builds a profile that highlights the Point of Control, the value area, and the internal order flow balance across the studied range.
What makes this indicator especially useful is that it does more than draw a standard profile. It also identifies areas where participation is abnormally thin relative to both the Point of Control and local neighboring bins. These low participation areas are marked as liquidity voids, helping the user see where the market moved through price with relatively little acceptance.
In addition, the script monitors the current bar for unusually large activity using a volume z score and a directional delta ratio filter. When a bar shows both exceptional size and meaningful directional imbalance, the script prints a bubble style marker above or below price. This gives the user a way to spot unusual participation events as they happen.
The result is a tool that can be used for profile analysis, liquidity mapping, imbalance recognition, and structural context. It helps answer several practical questions at once: where the market accepted price, where it rejected or skipped through price, where the strongest concentration of activity formed, and whether recent candles are showing exceptional directional participation.
🔹 Features
🔸 Custom Range Based Volume Profile
The script constructs a manual volume profile over the selected lookback period. Instead of relying on a built in profile engine, it divides the recent range into user defined price bins and allocates each bar’s volume into those bins. This gives full control over how the profile is built and how the final distribution is interpreted.
🔸 Buy Volume and Sell Volume Estimation
Every candle contributes both buy side and sell side estimates. The script uses the candle’s open, high, low, and close to derive a buy volume ratio, then splits total volume into buy volume and sell volume accordingly. This creates a practical order flow style approximation that is more informative than total volume alone.
🔸 Proportional Price Overlap Allocation
When a candle spans multiple bins, the script distributes its buy volume, sell volume, and total volume proportionally according to how much of the candle overlaps each bin. This produces a more realistic internal structure than simply dropping the full bar volume into one price row.
🔸 Point of Control Detection
The indicator finds the bin with the highest total volume and marks it as the Point of Control. This gives the user an immediate view of the strongest participation price inside the studied range.
🔸 Value Area Calculation
After the Point of Control is found, the script expands upward and downward through neighboring bins until the selected percentage of total profile volume is captured. This defines Value Area High and Value Area Low, allowing the user to distinguish the central acceptance region from the rest of the range.
🔸 Profile Coloring by Participation Side
The profile is drawn as stacked horizontal boxes showing estimated buy side participation and sell side participation inside each row. Bins inside the value area use stronger coloring, while bins outside the value area use softer coloring. This makes the internal structure easy to read visually.
🔸 Liquidity Void Detection
The script scans for bins with unusually weak participation outside the value area. A bin qualifies as a liquidity void candidate only if it is both small relative to the Point of Control and also weaker than its nearby neighbors. Consecutive weak bins are grouped into a larger void zone and labeled directly on the chart.
🔸 Unusual Volume Bubble Markers
Current bar activity is evaluated using a long period volume average and standard deviation. If the bar’s volume is statistically unusual and its estimated delta ratio is large enough, the script prints a directional bubble marker. Positive directional activity is shown below price, and negative directional activity is shown above price.
🔸 Optional Profile and Void Display
The user can independently control whether the volume profile, liquidity voids, and unusual volume markers are shown. This makes the script flexible enough for both full structure analysis and lighter chart layouts.
🔸 Extendable Structural Levels
The Point of Control, Value Area High, and Value Area Low can be drawn as either compact structure references or extended lines, depending on the chosen setting. This allows the user to decide whether the levels should function as local annotations or ongoing chart references.
🔸 Useful for Acceptance and Imbalance Analysis
The combination of profile structure, value area, void zones, and unusual activity markers gives the indicator a broader purpose than a standard profile. It can help identify accepted price, skipped price, directional participation, and possible future reaction areas.
🔹 Calculations
1) Building the Volume Profile Container
type PriceBin
float price
float buyVol = 0.0
float sellVol = 0.0
float totalVol = 0.0
type VolumeProfile
float highPrice = na
float lowPrice = na
float binSize = na
array bins
float pocPrice = na
float pocVol = 0.0
float vah = na
float val = na
float totalVol = 0.0
This is the foundation of the whole script.
Each PriceBin stores one price level area inside the profile. It contains:
the row midpoint price,
estimated buy volume,
estimated sell volume,
and total volume.
The VolumeProfile structure stores the full profile state:
the highest price of the lookback range,
the lowest price of the lookback range,
the bin size,
the array of bins,
and the final analytical values such as Point of Control, Value Area High, Value Area Low, and total profile volume.
So before any analysis happens, the script defines a complete custom data model for price distribution and order flow style estimation.
2) Initializing the Bins Across the Lookback Range
method initBins(VolumeProfile this, float h, float l, int numBins) =>
this.highPrice := h
this.lowPrice := l
this.binSize := (h - l) / numBins
this.pocPrice := na
this.pocVol := 0.0
this.totalVol := 0.0
this.vah := na
this.val := na
this.bins := array.new()
for i = 0 to numBins - 1
this.bins.push(PriceBin.new(price = l + i * this.binSize + (this.binSize / 2)))
This method creates the working profile rows.
First, it stores the high and low of the selected lookback period. Then it calculates binSize , which is the vertical price height of each row. That is simply the full range height divided by the number of bins.
After resetting all major profile outputs, the script creates a fresh bin array. Each new bin is assigned a midpoint price:
l + i * this.binSize + (this.binSize / 2)
That midpoint becomes the visual and analytical center of the row.
In practical terms, this is where the script transforms the raw market range into a structured ladder of price rows that can later receive allocated volume.
3) Locating the Correct Bin for a Price
method getBinIndex(VolumeProfile this, float p) =>
if na(this.lowPrice) or na(this.binSize) or this.binSize == 0
0
else
int idx = math.floor((p - this.lowPrice) / this.binSize)
math.max(0, math.min(idx, this.bins.size() - 1))
This helper method maps any price to its correct row index inside the profile.
It works by measuring how far the price sits above the profile low, then dividing that distance by the bin size. The result is the raw row index. After that, the value is clamped so it always stays inside the valid bin range.
This is important because the script repeatedly needs to know which rows are touched by each candle’s low and high. Without this mapping step, the profile could not distribute volume across price space correctly.
4) Estimating Buy Volume and Sell Volume From Candle Structure
float hlR = high - low
float bVR = hlR == 0 ? 0.5 : (close - low + high - open) / (2 * hlR)
float currentBuyVol = volume * bVR
float currentSellVol = volume * (1 - bVR)
float delta = currentBuyVol - currentSellVol
This snippet explains how the script approximates order flow direction on the current bar.
First, it measures the candle range from high to low. Then it computes a buy volume ratio using the relative location of the open and close inside that range:
(close - low + high - open) / (2 * hlR)
This ratio becomes a practical estimate of how much of the bar’s total volume behaved like buying pressure versus selling pressure. If the candle closes stronger and opens higher inside its range, the ratio leans more bullish. If the candle structure is weaker, the ratio leans more bearish.
That ratio is then used to split total volume into:
currentBuyVol
and
currentSellVol
Finally, the script calculates delta as the difference between estimated buy volume and estimated sell volume.
This is not true transaction tagged exchange delta, but it is a useful chart based directional participation model.
5) Distributing Candle Volume Across Touched Price Rows
method addBarVolume(VolumeProfile this, float h, float l, float c, float o, float v) =>
float hlRange = h - l
float buyVolRatio = hlRange == 0 ? 0.5 : (c - l + h - o) / (2 * hlRange)
float buyV = v * buyVolRatio
float sellV = v * (1 - buyVolRatio)
int startIdx = this.getBinIndex(l)
int endIdx = this.getBinIndex(h)
for i = startIdx to endIdx
if i >= 0 and i < this.bins.size()
PriceBin b = this.bins.get(i)
float binTop = b.price + (this.binSize / 2)
float binBot = b.price - (this.binSize / 2)
float overlapTop = math.min(h, binTop)
float overlapBot = math.max(l, binBot)
float overlap = math.max(0.0, overlapTop - overlapBot)
float weight = hlRange > 0 ? overlap / hlRange : (1.0 / (endIdx - startIdx + 1))
b.buyVol += buyV * weight
b.sellVol += sellV * weight
b.totalVol += v * weight
this.bins.set(i, b)
this.totalVol += v * weight
This is one of the most important calculations in the entire script.
For each candle inside the lookback period, the script first computes estimated buy volume and sell volume. Then it finds which profile rows are touched by the candle’s low and high.
For every touched row, it measures how much of the candle overlaps that specific row. That overlap becomes a weighting factor:
weight = overlap / hlRange
If a candle overlaps a row heavily, that row receives a larger share of the bar’s volume. If the overlap is small, the row receives only a small share.
The script then adds weighted buy volume, weighted sell volume, and weighted total volume into that bin.
This is much more realistic than assigning all volume to a single row because it respects the actual price space the candle traveled through.
6) Determining the Point of Control
method calcValueArea(VolumeProfile this, float pct) =>
float midPrice = (this.highPrice + this.lowPrice) / 2
float maxVol = -1.0
float bestPrice = na
int pocIdx = -1
for i = 0 to this.bins.size() - 1
PriceBin b = this.bins.get(i)
if b.totalVol > maxVol
maxVol := b.totalVol
bestPrice := b.price
pocIdx := i
else if b.totalVol == maxVol and maxVol > 0
if math.abs(b.price - midPrice) < math.abs(bestPrice - midPrice)
bestPrice := b.price
pocIdx := i
this.pocVol := maxVol
this.pocPrice := bestPrice
This is the first phase of the value area calculation.
The script scans all bins and finds the row with the greatest total volume. That row becomes the Point of Control. If two rows have the same maximum volume, the script breaks the tie by choosing the one closer to the middle of the full lookback range.
That tie handling matters because it avoids unstable selection when multiple bins have identical strength.
After the winning row is found, the script stores:
the Point of Control volume in pocVol
and the Point of Control price in pocPrice
So the Point of Control is not simply a visual midpoint. It is the actual strongest participation row in the profile.
7) Expanding Upward and Downward to Build the Value Area
float targetVol = this.totalVol * pct / 100.0
float currentVol = 0.0
if pocIdx >= 0 and pocIdx < this.bins.size()
currentVol := this.bins.get(pocIdx).totalVol
int upIdx = pocIdx + 1
int dnIdx = pocIdx - 1
while currentVol < targetVol and (upIdx < this.bins.size() or dnIdx >= 0)
float upVol = upIdx < this.bins.size() ? this.bins.get(upIdx).totalVol : -1.0
float dnVol = dnIdx >= 0 ? this.bins.get(dnIdx).totalVol : -1.0
After finding the Point of Control, the script calculates the target volume required for the value area. For example, if the input is 70 percent, the target becomes 70 percent of total profile volume.
The expansion begins from the Point of Control row itself. currentVol starts with the Point of Control row’s own total volume. Then the script looks one row up and one row down, repeatedly expanding until the accumulated volume reaches the target.
This is the standard logic of building a value area around the strongest participation center.
8) Deciding Whether to Expand Up or Down
if upVol > dnVol and upVol != -1.0
currentVol += upVol
upIdx += 1
else if dnVol > upVol and dnVol != -1.0
currentVol += dnVol
dnIdx -= 1
else if upVol == dnVol and upVol != -1.0
if currentVol + upVol > targetVol
if math.abs(this.bins.get(upIdx).price - midPrice) < math.abs(this.bins.get(dnIdx).price - midPrice)
currentVol += upVol
upIdx += 1
else
currentVol += dnVol
dnIdx -= 1
else
currentVol += upVol + dnVol
upIdx += 1
dnIdx -= 1
This block decides which side to include next in the value area.
If the row above has more volume than the row below, the script expands upward. If the row below has more volume, it expands downward. If both sides are equal, it uses distance to the overall midpoint as a tie breaker when necessary.
This is important because value area growth should follow participation strength, not arbitrary direction. The final result is a value area that naturally wraps around the highest volume concentration.
9) Final VAH and VAL Assignment
int finalUpIdx = math.max(pocIdx, upIdx - 1)
int finalDnIdx = math.min(pocIdx, dnIdx + 1)
this.vah := finalUpIdx < this.bins.size() ? this.bins.get(finalUpIdx).price : this.highPrice
this.val := finalDnIdx >= 0 ? this.bins.get(finalDnIdx).price : this.lowPrice
Once expansion is complete, the script converts the final included rows into value area boundaries.
The highest included row becomes Value Area High.
The lowest included row becomes Value Area Low.
These values define the central price zone where the chosen percentage of the profile’s total volume was traded.
So VAH and VAL are directly derived from the row by row structure of the profile, not from any fixed percentage of price range.
10) Detecting Unusual Volume Activity
float volSma = ta.sma(volume, 200)
float volStdev = ta.stdev(volume, 200)
float zScore = volStdev == 0 ? 0 : (volume - volSma) / volStdev
float deltaRatio = volume > 0 ? math.abs(delta) / volume : 0
bool isUnusual = zScore > zScoreThreshold and deltaRatio >= deltaRatioThreshold
This block evaluates whether the current bar is unusually active.
First, the script computes a 200 period average volume and standard deviation. Then it transforms the current bar’s volume into a z score, which shows how many standard deviations the bar stands above normal background activity.
Next, it calculates deltaRatio , which measures how large the directional imbalance is relative to total volume.
A bar is marked unusual only if both conditions are true:
the volume is statistically large enough,
and the directional imbalance is meaningful enough.
This double filter helps reduce false signals from large but directionless bars.
11) Printing Unusual Volume Bubbles
if showUnusual and isUnusual
string lblText = (delta > 0 ? "🟢 " : "🔴 ") + str.tostring(math.round(volume))
color lblColor = delta > 0 ? color.new(color.green, 0) : color.new(color.red, 0)
label uLbl = label.new(bar_index, delta > 0 ? low : high, text=lblText, style=label.style_none, textcolor=lblColor, yloc=delta > 0 ? yloc.belowbar : yloc.abovebar, size=size.small)
When an unusual bar is detected, the script prints a directional marker.
If estimated delta is positive, the bubble is shown below price in green.
If estimated delta is negative, the bubble is shown above price in red.
The displayed text also includes the rounded volume value. This allows the user to quickly see both direction and size of the unusual participation event.
So these markers are not random momentum tags. They specifically highlight bars where both participation size and directional imbalance stand out.
12) Rebuilding the Profile on the Last Bar
float highestPrice = ta.highest(high, lookback)
float lowestPrice = ta.lowest(low, lookback)
if barstate.islast and bar_index >= lookback - 1
profile.initBins(highestPrice, lowestPrice, rows)
for i = 0 to lookback - 1
profile.addBarVolume(high , low , close , open , volume )
profile.calcValueArea(vaPct)
This is the main execution block for the profile.
First, the script finds the highest high and lowest low across the chosen lookback window. That defines the total vertical space of the analysis.
Then, on the last visible bar, it:
initializes the bins,
loops through every candle inside the lookback,
adds each candle’s weighted volume into the profile,
and finally calculates the value area.
Running this only on the last bar is efficient because the full profile is a visual structure based on the current lookback window. It does not need to be redrawn historically on every past bar.
13) Scaling and Drawing the Profile Histogram
float maxVol = profile.pocVol
float allVols = array.new_float()
for i = 0 to profile.bins.size() - 1
allVols.push(profile.bins.get(i).totalVol)
float avgVol = allVols.avg()
float stdVol = allVols.stdev()
float clampedMaxVol = math.max(math.min(maxVol, avgVol + (stdVol * 2)), 0.000001)
Before drawing the profile, the script prepares a safer scaling reference.
Instead of using raw Point of Control volume alone without adjustment, it clamps the maximum drawable scale using the average row volume plus two standard deviations. This helps prevent a single extreme row from making the rest of the profile look too compressed.
In practical terms, this means the visual histogram remains readable even when one row is exceptionally dominant.
14) Drawing Buy Side and Sell Side Inside Each Row
int buyLen = math.round((b.buyVol / b.totalVol) * (drawVol / clampedMaxVol) * profileWidth)
int sellLen = math.round((b.sellVol / b.totalVol) * (drawVol / clampedMaxVol) * profileWidth)
bool inVA = b.price <= profile.vah and b.price >= profile.val
bool isPocRow = math.abs(b.price - profile.pocPrice) <= profile.binSize * 0.5
int x1 = profileRight
int x2 = x1 - buyLen
if buyLen > 0
box bB = box.new(x1, topP, x2, botP, border_color=c_border, bgcolor=c_buy)
int x3 = x2
int x4 = x3 - sellLen
if sellLen > 0
box bS = box.new(x3, topP, x4, botP, border_color=c_border, bgcolor=c_sell)
This is the actual profile drawing logic.
For each row, the script determines how much of the row’s total activity came from estimated buy volume and how much came from estimated sell volume. It then converts those fractions into horizontal lengths.
The buy portion is drawn first, then the sell portion continues from the end of the buy section. This creates a stacked horizontal bar that reveals both total participation and internal directional composition.
The row also receives context coloring:
rows inside the value area use stronger color treatment,
and the Point of Control row can receive a distinct border.
So the histogram communicates three layers at once:
how much volume was traded there,
whether that row sits inside the value area,
and how that row’s activity was split between estimated buying and selling pressure.
15) Drawing POC, VAH, and VAL Lines
line pocL = line.new(lineStartX, profile.pocPrice, lineEndX, profile.pocPrice, color=col_poc, width=2, style=line.style_solid)
profileLines.push(pocL)
line vahL = line.new(lineStartX, profile.vah, lineEndX, profile.vah, color=col_vah, width=1, style=line.style_dashed)
profileLines.push(vahL)
line valL = line.new(lineStartX, profile.val, lineEndX, profile.val, color=col_val, width=1, style=line.style_dashed)
profileLines.push(valL)
Once the profile is built, the script draws the three most important structural references:
Point of Control,
Value Area High,
and Value Area Low.
These lines can behave as compact annotations near the profile or as broader structure references if extension is enabled.
This gives the user a quick way to read acceptance and central balance without needing to inspect every row manually.
16) Detecting Liquidity Voids
float voidLimit = profile.pocVol * (voidThreshold / 100.0)
bool inVoid = false
float voidStartPrice = na
for i = 0 to profile.bins.size() - 1
PriceBin b = profile.bins.get(i)
bool isOutsideVA = b.price > profile.vah or b.price < profile.val
This is the beginning of the liquidity void logic.
A row is never treated as a void candidate solely because its volume is small. The script first requires that the row be outside the value area. This matters because low volume inside the main acceptance zone does not carry the same meaning as low volume outside it.
The script also calculates voidLimit as a percentage of Point of Control volume. That creates a relative participation threshold tied to the strongest row in the profile.
17) Comparing Each Row to Its Neighbors
float sumNeighbors = 0.0
int nC = 0
for j = math.max(0, i - 2) to math.min(profile.bins.size() - 1, i + 2)
if j != i
sumNeighbors += profile.bins.get(j).totalVol
nC += 1
float localAvg = nC > 0 ? sumNeighbors / nC : 0.0
bool isGap = b.totalVol < (localAvg * 0.5)
bool isLowVol = b.totalVol < voidLimit
bool isVoid = isLowVol and isGap and isOutsideVA
This is the real filter that defines a liquidity void.
The script looks at nearby bins around the current row and calculates a local neighbor average. Then it applies two separate tests:
the row must be low relative to the Point of Control threshold,
and it must also be weak relative to its nearby neighbors.
Only if both are true, and the row is outside the value area, does the script classify it as a void.
This is important because it prevents the indicator from marking every low volume row as a void. A valid void must look weak both globally and locally.
18) Grouping Consecutive Void Rows Into Zones
if isVoid
if not inVoid
inVoid := true
voidStartPrice := b.price - (profile.binSize / 2)
else
if inVoid
inVoid := false
float voidEndPrice = b.price - (profile.binSize / 2)
float topCoord = math.max(voidStartPrice, voidEndPrice)
float botCoord = math.min(voidStartPrice, voidEndPrice)
box vBox = box.new(bar_index - lookback, topCoord, bar_index, botCoord, border_color=na, bgcolor=col_void)
Once a void row is detected, the script begins tracking a continuous void run. If the next row is also a void, the zone continues. When the run ends, the script closes the zone and draws a box covering the full void area.
This means the indicator does not plot isolated tiny marks for each row. Instead, it groups neighboring weak rows into a cleaner structure that better represents a meaningful liquidity gap.
That box is then labeled as a liquidity void, making the zone easy to identify visually. Indicator
3D Volume Profile [UAlgo]3D Volume Profile is a chart based volume profile indicator that takes a classic horizontal profile concept and presents it as a pseudo 3D structure directly on price. Instead of drawing flat histogram bars only, the script renders each profile row as a shaded 3D block with a front face, a side face, and a top face, which creates a stronger visual sense of depth and distribution.
The indicator runs on price ( overlay=true ) and builds a rolling volume profile over a user defined lookback window. It divides the recent price range into fixed bins, distributes candle volume across those bins, identifies the Point of Control and the Value Area, and then draws the result on the right side of the chart. Each row is color coded by dominant flow direction, which means the profile can show whether a bin was more buy dominated or sell dominated in addition to showing how much total volume accumulated there.
This makes the tool useful for traders who want more than a basic profile display. It combines:
A rolling horizontal volume profile
Buy versus sell dominance shading
Point of Control and Value Area detection
A forward projected 3D style histogram
Clear POC, VAH, and VAL reference lines on the chart
The final result is a visually rich profile tool designed for fast structural reading, especially when identifying acceptance zones, thin areas, and dominant participation regions.
🔹 Features
🔸 1) Rolling Volume Profile Over a Recent Window
The script builds a rolling profile from the most recent user selected number of bars. This means the profile continuously adapts as new bars come in, making it more useful for current market structure analysis than a fixed session only approach.
🔸 2) 3D Style Histogram Rendering
Each volume row is drawn as a pseudo 3D block rather than a flat rectangle. The script creates:
A front face
A side face
A top face
The side and top faces are shaded versions of the main color, which gives the profile a depth effect and makes the structure easier to read visually.
🔸 3) Customizable 3D Depth in X and Y
The 3D effect is controlled with two settings:
3D Depth X , which controls how far the rear face is shifted horizontally in bars
3D Depth Y , which controls how far the rear face is shifted vertically as a percentage of row height
This allows the user to make the profile look flatter or more pronounced depending on preference.
🔸 4) Buy and Sell Volume Dominance Coloring
Each bin tracks both buy volume and sell volume. If buy volume is greater than or equal to sell volume, the row uses the bullish color. If sell volume dominates, the row uses the bearish color.
This means the profile is not only a measure of total activity. It also adds directional context to each price zone.
🔸 5) Point of Control Detection
The script identifies the row with the highest total volume and marks it as the Point of Control. The POC is highlighted with its own dedicated color and is visually distinct from the rest of the profile.
This gives traders an immediate reference for the most active price zone in the rolling range.
🔸 6) Value Area Calculation
The indicator calculates a Value Area around the Point of Control based on the user selected percentage. Bins inside the Value Area are marked and recolored with the Value Area color, which makes the high participation region easy to identify.
🔸 7) Forward Projected Profile Layout
The profile is drawn to the right of current price using a configurable offset. This keeps the active candle area readable while still placing the profile in a clear and accessible location.
🔸 8) Adjustable Resolution and Width
Users can control:
The lookback length
The number of profile rows
The maximum width of the histogram
The right side offset
This makes the indicator suitable for both coarse structural analysis and more detailed profile inspection.
🔸 9) POC, VAH, and VAL Reference Lines
After the profile is built, the script calculates the POC, Value Area High, and Value Area Low, then projects horizontal reference lines across the chart. Labels are placed to the right so the key levels are clearly marked.
🔸 10) Row by Row Dominance and Acceptance Reading
Because each row stores total volume, buy volume, sell volume, Value Area membership, and POC status, the indicator gives a layered view of the market:
Where the most activity occurred
Which zones were accepted
Which zones were dominated by buyers
Which zones were dominated by sellers
🔸 11) Premium Visual Presentation
The script uses shaded faces, dedicated POC highlighting, Value Area recoloring, and clean right side labels. This makes it more presentation focused than a basic flat profile and improves chart readability for manual analysis.
🔹 Calculations
1) Profile Range Detection
The script first finds the highest high and lowest low inside the active lookback window. This defines the full vertical range of the volume profile. Only the most recent bars inside that window are used for profile construction.
2) Bin Initialization
Once the recent range is known, the script divides that price range into the chosen number of bins. Each bin stores:
Top boundary
Bottom boundary
Total volume
Buy volume
Sell volume
Flags for Value Area and POC
The bin size is calculated by dividing the total price range by the number of rows.
3) Volume Distribution Across Price Bins
For each candle, the script determines which bins the candle spans. It then spreads that candle’s volume evenly across all touched bins.
This is important because the script does not place the full candle volume into a single price level. Instead, it allocates the candle volume across the portion of the profile that candle covers.
Important implementation note:
This script uses equal distribution across the spanned bins, not proportional overlap weighting. That means each touched row receives the same share of the candle’s volume.
4) Buy Versus Sell Volume Classification
The script classifies each candle as buy dominated or sell dominated using candle direction:
If close is greater than or equal to open, the candle is treated as buy volume
If close is below open, the candle is treated as sell volume
That candle’s allocated volume is then added to either volBuy or volSell inside each touched bin.
This is a practical directional approximation, not true bid ask tape volume.
5) Total Volume and POC Detection
After all candles are processed, the script scans every bin and calculates:
The total volume across the profile
The maximum single bin volume
The POC index
The POC is the bin with the highest total volume. That bin is marked as both isPOC and isVA before Value Area expansion begins.
6) Value Area Expansion Logic
The Value Area is built around the POC by expanding upward and downward until the selected percentage of total profile volume is included.
The script compares the next bin above and the next bin below the current Value Area. It adds whichever side has greater volume first. This continues until cumulative included volume reaches the target Value Area percentage.
This creates a standard profile style Value Area centered on the highest participation region.
7) Histogram Width Normalization
Each row’s width is scaled relative to the maximum volume row:
The row with the most volume becomes the widest
Smaller rows are scaled proportionally
This means width directly communicates relative participation at each price zone.
8) Color Selection Logic
For each bin, the script first determines whether buy volume or sell volume dominates:
If buy volume is greater than or equal to sell volume, it uses the bullish color
Otherwise it uses the bearish color
Then the script overrides that base direction color if needed:
If the row is the POC, it uses the POC color
If the row is inside the Value Area, it uses the Value Area color
This gives the profile a clear visual hierarchy:
POC first
Value Area second
Directional dominance otherwise
9) 3D Face Construction
Each row is rendered as a pseudo 3D object using:
A front rectangle
A shifted back edge using the X and Y depth settings
A side face when horizontal depth is visible
A top or bottom face depending on vertical depth direction
The script shades the side face darker and the top face brighter than the base color to create a depth illusion.
This is a visual projection technique, not a true 3D engine, but it produces a convincing 3D profile effect on the chart.
10) Rendering Order Logic
The script changes draw order depending on the sign of the Y depth:
If vertical depth is positive, rows are drawn from bottom to top
If vertical depth is negative, rows are drawn from top to bottom
This helps the 3D faces stack more cleanly and reduces visual overlap issues.
11) POC, VAH, and VAL Price Calculation
After the profile is complete:
The POC price is the midpoint of the POC bin
VAH is the highest top boundary among all Value Area bins
VAL is the lowest bottom boundary among all Value Area bins
These levels are then drawn as horizontal lines extending from the left side of the lookback window toward the right side label area.
12) Label Placement
The labels for POC, VAH, and VAL are placed slightly to the right of the profile. This keeps them readable and avoids overlap with the 3D bars themselves. Indicator
Value Area Levels [crlmx]Calculated from native volume-at-price data vaLevels shows Value Area
levels (VAH, POC, VAL) across three independently configurable timeframes.
Requires PulseWire Premium or above plan for Footprint data access,
Short of that refere to Lite version (coming soon).
Key Features
- Three independent VA slots with on/off toggles
- Timeframe selection: D, W, M, 30min, 1H, 4H, 8H, 12H
- Session-based VA on slot 3: NYC, London, Asia, Custom
- Custom session with user-defined time window and label prefix
- Auto-calculated row resolution per instrument type
- Manual ticks-per-row override for fine-tuning
- Configurable Value Area percentage (default 68%)
- Individual VAH, POC, VAL toggles per slot
- Optional price display in labels
- Requires PulseWire Premium or Ultimate plan
- Streamlined input / UI brought to you by crlmx
Trading Applications
- Map previous day area against weekly and session VAs to identify confluence zones
- Track VAH/VAL as breakout triggers when price moves outside the prior value area
- Compare session VA (NYC/LDN) against daily VA to for reactions
- When daily and weekly VAs overlap, expect stronger reactions at the shared boundary
- Combine with prLevels for a complete prior-level picture (price levels + volume levels)
- Recommended Settings
Intraday S/R: D + W + NYC | Chart: 1-15 min
Session Trading: D + 4H + LDN | Chart: 1-5 min
Swing Reference: D + W + M | Chart: 30 min - 4H
Version History
- v0.10: Initial release
Indicator
Price Normalized RSI Profile [UAlgo]Price Normalized RSI Profile is a hybrid visualization tool that combines a rolling RSI distribution study with a profile style overlay drawn directly on the price chart. Instead of plotting a classic RSI line in a separate oscillator pane, this script collects historical RSI readings, groups them into fixed 0 to 100 bins, weights each bin by traded volume, and then renders the resulting distribution as a horizontal profile on the right side of the main chart.
The goal of the script is not to show where price traded the most, but to show where RSI states accumulated the most volume over the selected lookback period. In other words, it answers a different question than a traditional volume profile. Rather than asking which prices were most active, it asks which RSI regimes were most active, then maps those oscillator regimes visually into the chart’s price space for easier on-chart interpretation.
The indicator highlights:
A volume weighted RSI Point of Control (POC)
A Value Area around that POC
A right side histogram of RSI regime distribution
A color gradient that reflects bullish versus bearish RSI zones
Reference labels for POC, VAH, and VAL
Lookback boundary markers for profile context
This makes the script useful for traders who want to blend oscillator distribution analysis with chart based execution, especially when comparing current price position against historically dominant RSI states.
Important note: The POC, VAH, and VAL in this script are derived from an RSI distribution profile , not from a standard price based volume profile. They are visually mapped onto the current chart range for presentation.
🔹 Features
🔸 1) Volume Weighted RSI Distribution Profile
The script collects RSI values over a rolling lookback window and assigns each reading into one of several fixed RSI bins. Each bin accumulates volume , not just frequency, so the profile reflects how much traded participation occurred while RSI was in that zone.
This makes the output more meaningful than a simple occurrence count because highly active bars contribute more weight.
🔸 2) Fixed 0 to 100 RSI Bin Framework
The profile is built over the natural RSI range from 0 to 100, divided into a user defined number of bins. This creates a stable oscillator distribution model that is consistent across symbols and timeframes.
Lower bin counts create thicker, smoother profile bars.
Higher bin counts create finer resolution and more detailed structure.
🔸 3) Overlay on the Main Price Chart
Unlike most RSI tools, this script runs with overlay=true and renders the profile directly on the price chart. It maps RSI bins onto the vertical span of the recent chart range, allowing traders to see the distribution without leaving the main chart.
This is a visual convenience feature and creates a unique fusion of oscillator logic and price space presentation.
🔸 4) Point of Control (POC) Detection
The indicator identifies the RSI bin with the highest accumulated volume and treats it as the RSI Profile POC. This is the most active RSI zone by volume over the lookback window.
The POC is highlighted with:
A wider profile bar
A unique color
A label showing the POC volume
🔸 5) Value Area (VAH / VAL) Calculation
The script builds a Value Area around the POC using the selected percentage of total profile volume. This identifies the core RSI regime zone where the majority of the volume weighted RSI activity occurred.
The Value Area is visually emphasized with more visible bars and separate VAH / VAL guide lines.
🔸 6) Gradient Color Mapping by RSI Regime
Each bin is colored using a gradient based on its RSI location:
Lower RSI zones lean bullish color
Higher RSI zones lean bearish color
This reflects the script’s chosen visual logic, where low RSI bins appear in the bullish color family and high RSI bins appear in the bearish color family.
🔸 7) Distinct Styling for POC, Value Area, and Outside Value
The script visually separates three categories:
POC bin
Bins inside the Value Area
Bins outside the Value Area
This helps traders quickly distinguish the dominant RSI regime from the broader accepted RSI zone and from lower importance outer regions.
🔸 8) Forward Projected Histogram Layout
The profile is drawn to the right of current price using configurable:
Maximum width in bars
Horizontal offset
This keeps the histogram out of the way of current candles while preserving clear visibility on the active chart.
🔸 9) Lookback Context Markers
The script draws a vertical line marking the start of the profile lookback window, plus horizontal guide lines across the chart high and low range used for the profile mapping. This makes it easy to understand which portion of the chart is being analyzed.
🔸 10) Compact On Chart Labels
The indicator adds right side labels for:
POC
VAH
VAL
This makes the distribution easier to read without manually inspecting each bar.
🔸 11) Rolling History Buffer for RSI and Volume
The script stores both RSI and volume into arrays, allowing the profile to be rebuilt from recent history on the last bar. This keeps the logic fully rolling and independent from session boundaries.
🔸 12) Structured Object Based Design
The script uses custom types:
RsiBin for each RSI interval
RsiProfile for the full profile state, including POC and Value Area indexes
This makes the internal logic cleaner and easier to maintain.
🔹 Calculations
1) RSI Calculation
The script calculates RSI from the chosen source and length:
float rsi_val = ta.rsi(rsi_src, rsi_len)
This value is the basis for all binning and profile accumulation.
2) Rolling RSI and Volume History Storage
Every bar, the script pushes the latest RSI value and volume into rolling arrays:
rsi_history.push(rsi_val)
vol_history.push(volume)
To prevent unlimited growth, the arrays are trimmed when they exceed:
lookback + 100
This keeps enough buffer for profile stability while controlling memory size.
3) Fixed RSI Bin Initialization
The profile divides the 0 to 100 RSI range into equal bins:
float step = 100.0 / bins_count
for i = 0 to bins_count - 1
float min_v = i * step
float max_v = (i + 1) * step
this.bins.push(RsiBin.new(min_v, max_v, 0.0, 0))
Each bin stores:
RSI minimum value
RSI maximum value
Accumulated volume
Observation count
4) Volume Weighted Population of the RSI Profile
When populating the profile, each historical RSI value is mapped into the correct bin:
int bin_idx = math.floor(r_val / 100.0 * this.bins.size())
The index is clamped to remain inside valid bounds:
bin_idx := math.min(bin_idx, this.bins.size() - 1)
bin_idx := math.max(bin_idx, 0)
Then the script adds the corresponding bar volume to that bin:
b.volume += v_val
b.count += 1
this.total_vol += v_val
This means the profile is volume weighted RSI distribution , not a simple count histogram.
5) POC Detection
As bins are populated, the script tracks the bin with the highest accumulated volume:
if b.volume > this.max_vol
this.max_vol := b.volume
this.poc_idx := bin_idx
This bin becomes the profile POC and acts as the center for Value Area expansion.
6) Value Area Calculation
The Value Area target is calculated from total profile volume:
float target_vol = this.total_vol * (va_percent / 100.0)
The script starts from the POC and expands outward, comparing the next upper and lower bin volumes:
float vol_up = (top < max_idx) ? this.bins.get(top + 1).volume : 0.0
float vol_dn = (bot > 0) ? this.bins.get(bot - 1).volume : 0.0
Whichever side has more volume is added first. This continues until the accumulated volume reaches the target percentage.
The final indexes are stored as:
this.va_top_idx := top
this.va_bot_idx := bot
7) Mapping RSI Bins into Price Space
A key part of this script is that RSI bins are not drawn in an oscillator pane. Instead, each RSI interval is mapped onto the chart’s recent price range:
float price_range = chart_high - chart_low
float y_bottom = chart_low + (b.min_val / 100.0) * price_range
float y_top = chart_low + (b.max_val / 100.0) * price_range
Interpretation:
RSI 0 maps to the recent chart low.
RSI 100 maps to the recent chart high.
All intermediate RSI bins are proportionally placed between them.
This is a visual mapping device, not a statement that those price levels correspond to actual RSI threshold prices.
8) Histogram Width Normalization
Each bin’s horizontal width is scaled by its volume relative to the maximum profile volume:
int bar_w = math.round((b.volume / this.max_vol) * max_width)
If the bin is the POC, it gets extra width:
if is_poc
bar_w := int(max_width * 1.15)
This makes the POC stand out clearly inside the profile.
9) POC, VA, and Outside VA Styling Logic
Each bin is categorized as:
POC
Inside the Value Area
Outside the Value Area
Then the script applies different opacity and border logic:
POC gets the dedicated POC color
VA bins are more visible
Outside VA bins are more faded
This creates clear visual hierarchy in the profile.
10) Color Gradient by RSI Position
Base color is determined from bin position in the RSI scale:
color base_col = color.from_gradient(b.min_val, 0, 100, c_bull, c_bear)
This means lower RSI bins transition toward the bullish color and higher RSI bins transition toward the bearish color. This is a stylistic mapping choice built into the script.
11) POC Label and Volume Display
When the POC is drawn, the script also adds a label showing:
The text POC
The accumulated volume of that bin
text="POC " + str.tostring(b.volume, format.volume)
This provides quick information about the dominant RSI regime’s participation size.
12) VAH and VAL Price Level Rendering
The script converts the Value Area top and bottom RSI bin indexes into mapped chart levels:
For VAH:
float vah_level = chart_low + (b_vah.max_val / 100.0) * price_range_val
For VAL:
float val_level = chart_low + (b_val.min_val / 100.0) * price_range_val
It then draws dashed horizontal lines and small labels for both.
Important note:
These are RSI profile Value Area boundaries mapped into price space , not true price based VAH and VAL from a market profile.
13) Lookback Boundary Drawing
The start of the lookback window is marked with a vertical dotted line:
int start_bar_idx = bar_index - lookback
line.new(start_bar_idx, chart_low, start_bar_idx, chart_high, ...)
This makes it easier to visually understand which section of chart history contributed to the current profile.
14) Chart Range Anchoring
The vertical display range used for the RSI to price mapping is derived from:
float chart_high = ta.highest(high, lookback)
float chart_low = ta.lowest(low, lookback)
This means the profile always stretches across the full recent visible price range used in the calculation window.
15) Last Bar Rendering Behavior
The profile is built and rendered only on the last bar:
if barstate.islast
vp.init(bin_count)
vp.populate(rsi_history, vol_history, lookback)
vp.calc_va(va_pct)
vp.render(...)
Indicator
HTF Candle Profile [UAlgo]HTF Candle Profile is a higher timeframe candle visualization tool that rebuilds each selected HTF candle from the lower timeframe bars that form it, then projects a horizontal volume profile inside that HTF candle range. The goal is to make intrabar participation visible directly on the price chart, so you can see where volume concentrated within the candle, where it was thin, and where the dominant traded price level emerged.
Instead of treating a daily or four hour candle as a single block, the script aggregates the lower timeframe bars as they arrive and distributes their volume across price bins covering the HTF candle’s high to low range. The result is a compact profile drawn from the start time of the HTF candle toward the right, with width proportional to relative volume per bin and color intensity driven by a gradient. This provides a fast read of internal structure: balanced candles, directional candles, rejection wicks, and consolidation pockets become easier to interpret because you can see the volume distribution inside the candle.
The indicator draws on the main chart and keeps a small rolling history of recent HTF candles to stay responsive and to respect object limits.
🔹 Features
1) Multi Timeframe HTF Candle Reconstruction
The script listens for a new HTF candle event using the selected timeframe input. When a new HTF candle begins, the previous one is finalized and drawn. During the active HTF candle, each incoming lower timeframe bar updates the running OHLC and stores its high, low, and volume for profiling.
This approach enables a live building profile for the current HTF candle while preserving completed profiles for recent candles.
2) Intrabar Volume Profile Built from LTF Data
For each HTF candle, the price range from low to high is divided into a user defined number of bins. Each lower timeframe bar contributes volume into all bins it spans. Volume is distributed evenly across the spanned bins to approximate participation within that bar’s range. This produces a per bin volume distribution that is stable and visually interpretable even when lower timeframe candles have large ranges.
3) Gradient Based Profile Intensity
Each bin is drawn as a horizontal box. Its color comes from a gradient that maps low volume to a softer profile color and high volume to a stronger profile color. This makes it easy to spot high participation nodes and low participation voids within the HTF candle.
Inputs allow independent control for bullish and bearish candle coloring and for the low volume and high volume profile colors.
4) POC Line Option
The script can optionally plot a POC line representing the price level of maximum volume within the HTF candle. This is drawn as a dashed horizontal line that spans the candle’s start time to end time. POC is often used as a reference for acceptance, fair value, or a magnet level during retracements.
5) Candle Body, Wick, and Time Boundaries
To keep the profile anchored and readable, the script also draws:
A translucent body box from HTF open to HTF close
A vertical wick line from HTF high to HTF low
A dotted start boundary and a dotted end boundary for the HTF candle window
These elements provide context so the profile is always interpreted within the candle structure that produced it.
6) Object Management and Rolling History
To keep charts clean and avoid exceeding platform limits, the script maintains a small history of HTF candles and deletes drawings for older ones. Each candle owns its objects and can fully clear them when removed from the rolling window.
🔹 Calculations
1) New HTF Candle Detection
A new candle event is detected using timeframe change on the selected timeframe:
isNew = timeframe.change(tf)
When isNew is true:
The previous HTF candle is finalized by setting its end time and drawing it
A new HTF candle object is created and added to the array
Old candles beyond the history limit are removed and their drawings deleted
2) HTF Candle Aggregation from LTF Bars
Each incoming lower timeframe bar updates the active HTF candle:
method addLtf(HtfCandle this, float h, float l, float c, float v) =>
this.ltfData.push(LtfBar.new(h, l, v))
this.h := math.max(this.h, h)
this.l := math.min(this.l, l)
this.c := c
Interpretation:
High is updated to the maximum seen so far within the HTF candle window
Low is updated to the minimum seen so far
Close is updated to the most recent close
Each LTF bar is stored with its high, low, and volume for later bin distribution
3) Bin Construction Across the HTF Candle Range
When drawing a candle, the script divides the HTF range into binCount segments:
float step = (this.h - this.l) / bCount
for i = 0 to bCount - 1
this.bins.push(ProfileData.new(this.l + i * step, this.l + (i + 1) * step, 0.0, na))
Each bin stores:
minP and maxP boundaries
accumulated volume for that price segment
a box handle for drawing
4) Volume Distribution from Each LTF Bar into Bins
For each stored LTF bar, the script determines which bins the bar spans and distributes volume evenly across them:
int startIdx = int((ltf.l - this.l) / step)
int endIdx = int((ltf.h - this.l) / step)
startIdx := math.max(0, math.min(startIdx, bCount - 1))
endIdx := math.max(0, math.min(endIdx, bCount - 1))
int spanned = endIdx - startIdx + 1
float vPerBin = ltf.v / spanned
for j = startIdx to endIdx
ProfileData b = this.bins.get(j)
b.vol += vPerBin
Interpretation:
The bar range is mapped to bin indexes
Indexes are clamped so they remain inside the array
Volume is divided by the number of spanned bins
Each spanned bin receives an equal share of that bar’s volume
This is a robust approach for intrabar profiling without tick data.
5) POC Computation
The script finds the bin with the maximum accumulated volume and sets the POC price at the midpoint of that bin:
float maxVol = 0.0
float pocP = na
for b in this.bins
if b.vol > maxVol
maxVol := b.vol
pocP := math.avg(b.minP, b.maxP)
If enabled, a dashed POC line is drawn across the HTF candle window:
if sPoc and not na(pocP)
this.lPoc := line.new(x1=this.st, y1=pocP, x2=this.et, y2=pocP, xloc=xloc.bar_time, color=cPoc, style=line.style_dashed, width=2)
6) Profile Box Width Scaling
Each bin’s box width scales by its volume relative to the maximum volume bin. Width is capped as a fraction of the candle’s time duration:
int duration = math.max(this.et - this.st, 1)
int volWidth = int((duration * 0.40) * (b.vol / maxVol))
int boxRight = this.st + volWidth
Interpretation:
duration represents the HTF candle time width
0.40 is the maximum profile width fraction of the candle duration
b.vol / maxVol converts volume to a normalized ratio
boxRight is calculated so all profile boxes start at the candle start time and extend rightward based on volume
7) Gradient Coloring of the Profile
Each bin color is mapped from low volume to high volume using a gradient:
color gradColor = color.from_gradient(b.vol, 0, maxVol, cLow, cHigh)
This keeps low participation zones visually lighter and high participation zones more prominent.
8) Candle Body and Wick Drawing
The script draws an HTF candle body box and a wick line for context:
float topP = math.max(this.o, this.c)
float botP = math.min(this.o, this.c)
this.bBody := box.new(left=this.st, top=topP, right=this.et, bottom=botP, xloc=xloc.bar_time, bgcolor=color.new(c, 85))
this.lWick := line.new(x1=midTime, y1=this.h, x2=midTime, y2=this.l, xloc=xloc.bar_time, color=color.new(c, 30), width=2)
It also draws start and end boundary lines so the candle window is clearly defined in time.
Indicator
Elite Session Volume Distribution Engine [JOAT]Elite Session Volume Distribution Engine
Introduction
The Elite Session Volume Distribution Engine is an open-source indicator that combines session-based analysis (London, New York, Asian sessions) with volume distribution profiling, VWAP analysis, volume-weighted momentum indicators, and session high/low tracking. This mashup creates a comprehensive session and volume analysis system designed to identify when institutional volume enters the market during specific trading sessions and how that volume is distributed across price levels.
The indicator addresses a critical market reality: different trading sessions have distinct volume characteristics and institutional participation levels. London and New York sessions typically have highest volume and volatility, while Asian session is quieter. By tracking volume distribution, momentum, and key levels within each session, this tool helps traders identify optimal trading windows and understand how institutional volume shapes price action during different global market hours.
Chart showing session boxes, volume distribution, and VWAP on 45M timeframe
Why This Mashup Exists
This indicator combines five analytical frameworks that address different aspects of session-based trading:
Session Identification: Tracks London, New York, and Asian trading sessions
Volume Distribution: Analyzes how volume is distributed across price levels within sessions
VWAP Analysis: Calculates session-specific Volume Weighted Average Price
Volume Momentum: Tracks volume trends and climax conditions
Session High/Low: Identifies key levels established during each session
Each component serves a specific purpose: Session identification shows when institutional traders are active, Volume Distribution reveals where volume concentrates (value areas), VWAP shows institutional average price, Volume Momentum identifies accumulation/distribution phases, and Session High/Low marks key reference levels. Together, they create a complete picture of how institutional volume flows through different trading sessions.
The mashup is justified because these components work together in session-based trading: institutions enter during specific sessions (London/NY), create volume distribution patterns at key levels, establish VWAP as benchmark, show momentum through volume trends, and set session highs/lows that become support/resistance. Tracking all simultaneously reveals the complete session-based institutional flow.
Core Components Explained
1. Session Identification System
The indicator identifies three major trading sessions:
// London Session (03:00-12:00 GMT)
londonSession = input.session("0300-1200", "London Session")
inLondonSession = not na(time(timeframe.period, londonSession))
// New York Session (08:30-17:00 EST)
nySession = input.session("0830-1700", "NY Session")
inNYSession = not na(time(timeframe.period, nySession))
// Asian Session (00:00-09:00 GMT)
asianSession = input.session("0000-0900", "Asian Session")
inAsianSession = not na(time(timeframe.period, asianSession))
// Session overlap (London + NY)
sessionOverlap = inLondonSession and inNYSession
Session characteristics:
London Session: High volume, major currency pairs active, trend establishment
NY Session: Highest volume, US markets active, major moves occur
Asian Session: Lower volume, range-bound often, JPY pairs active
London/NY Overlap: Highest volume period, most volatile, best liquidity
The indicator can optionally display session boxes as background colors (disabled by default to reduce clutter).
2. Volume Distribution Analysis
Volume distribution shows where volume concentrates within price ranges:
// Calculate volume at different price levels
volumeAtPrice = array.new_float()
// For each price level in session range
for i = sessionLow to sessionHigh by tickSize
volumeAtLevel = sum of volume where price traded at level i
array.push(volumeAtPrice, volumeAtLevel)
// Identify Point of Control (POC) - price level with most volume
poc = price level with maximum volume
// Identify Value Area (VA) - price range containing 70% of volume
valueAreaHigh = upper bound of 70% volume
valueAreaLow = lower bound of 70% volume
Volume Distribution concepts:
Point of Control (POC): Price level with highest volume - strong support/resistance
Value Area High (VAH): Upper bound of 70% volume distribution
Value Area Low (VAL): Lower bound of 70% volume distribution
High Volume Nodes: Price levels with significant volume - support/resistance zones
Low Volume Nodes: Price levels with little volume - price moves through quickly
The indicator plots volume distribution as a histogram or profile showing where institutional volume concentrated during the session.
3. Session-Specific VWAP
VWAP resets at the start of each session:
// Session VWAP calculation
var float sessionVWAP = na
var float cumulativeTPV = 0.0 // Typical Price * Volume
var float cumulativeVol = 0.0
if session_start
cumulativeTPV := 0.0
cumulativeVol := 0.0
typicalPrice = (high + low + close) / 3
cumulativeTPV := cumulativeTPV + (typicalPrice * volume)
cumulativeVol := cumulativeVol + volume
sessionVWAP = cumulativeTPV / cumulativeVol
Session VWAP significance:
Institutional traders use VWAP as execution benchmark
Price above session VWAP = buyers in control during session
Price below session VWAP = sellers in control during session
VWAP acts as dynamic support/resistance within session
Distance from VWAP indicates overextension
The indicator plots session VWAP with dynamic coloring based on price position.
4. Volume Momentum Analysis
Volume momentum tracks institutional accumulation/distribution:
// Volume moving average
volumeMA = ta.sma(volume, 20)
// Volume classification
highVolume = volume > volumeMA * 1.5
veryHighVolume = volume > volumeMA * 2.0
climaxVolume = volume > volumeMA * 3.0
// Volume trend
volumeRising = volume > volume and volume > volume
volumeFalling = volume < volume and volume < volume
// Accumulation/Distribution
accumulation = close > open and highVolume and volumeRising
distribution = close < open and highVolume and volumeRising
// Volume momentum indicator
volumeMomentum = (volume - volumeMA) / volumeMA * 100
Volume Momentum signals:
Rising Volume + Up Close: Accumulation - bullish
Rising Volume + Down Close: Distribution - bearish
Climax Volume: Potential exhaustion or strong institutional move
Declining Volume: Lack of institutional interest
Volume Momentum > 50%: Very strong institutional participation
The indicator plots volume bars with color coding based on momentum and direction.
5. Session High/Low Tracking
Session highs and lows become important reference levels:
// Track current session high/low
var float currentSessionHigh = na
var float currentSessionLow = na
if session_start
currentSessionHigh := high
currentSessionLow := low
else
currentSessionHigh := math.max(currentSessionHigh, high)
currentSessionLow := math.min(currentSessionLow, low)
// Previous session levels
prevSessionHigh = currentSessionHigh
prevSessionLow = currentSessionLow
Session High/Low significance:
Current session high/low show intraday range
Previous session levels act as support/resistance
Breaks above previous session high = bullish continuation
Breaks below previous session low = bearish continuation
Session range size indicates volatility and institutional activity
The indicator plots only CURRENT session high/low (2 lines instead of 6) to keep chart clean. Previous session levels can be toggled on if needed.
Example showing session VWAP, volume distribution, and session high/low levels
Volume Distribution Dashboard
The dashboard (bottom-right position) displays:
Current Session: London/NY/Asian/Overlap
Session VWAP: Current VWAP value
Price vs VWAP: Distance from VWAP in %
POC: Point of Control price level
Value Area: VAH and VAL levels
Volume Status: High/Normal/Low relative to average
Volume Momentum: Rising/Falling/Climax
Session Range: High - Low distance
Accumulation/Distribution: Current phase
Visual Elements
Session Boxes: Optional background colors for each session (default: OFF)
Session VWAP: Dynamic line with color based on price position
Session High/Low: Horizontal lines for current session (2 lines only)
Volume Bars: Color-coded based on momentum and direction
Volume Distribution Profile: Histogram showing volume at price levels
POC Line: Horizontal line at Point of Control
Value Area: Shaded zone between VAH and VAL
Accumulation/Distribution Markers: Labels for strong volume phases
Dashboard: Bottom-right table with session and volume metrics
Chart demonstrating session VWAP, volume bars, and dashboard
How Components Work Together
The mashup reveals session-based institutional flow:
Session Trading Sequence:
1. Session Opens: New session begins (London/NY/Asian)
2. VWAP Establishes: Session VWAP forms as volume enters
3. Volume Distribution: Institutions create volume at key levels (POC, Value Area)
4. Session Range: High and low established through institutional activity
5. Volume Momentum: Accumulation or distribution phase identified
6. Session Close: Levels become reference for next session
Example: London session opens, price trades above session VWAP with rising volume (accumulation). Volume distribution shows POC forming at 1.2500 level. Session high reaches 1.2550. NY session opens, price respects London session high and VWAP, continues higher with climax volume. Dashboard shows strong accumulation with volume momentum +75%.
Input Parameters
Session Settings:
London Session: Time range (default: 0300-1200)
NY Session: Time range (default: 0830-1700)
Asian Session: Time range (default: 0000-0900)
Show Session Boxes: Toggle background colors (default: OFF)
Highlight Overlap: Emphasize London/NY overlap (default: enabled)
VWAP Settings:
Show Session VWAP: Toggle VWAP line (default: enabled)
VWAP Reset: Session, Daily, Weekly (default: Session)
VWAP Bands: Optional standard deviation bands (default: disabled)
Distance Alert: Alert when price moves X% from VWAP (default: 2%)
Volume Settings:
Volume MA Length: Period for volume average (default: 20)
High Volume Threshold: Multiplier for high volume (default: 1.5x)
Climax Volume Threshold: Multiplier for climax (default: 3.0x)
Show Volume Bars: Color-coded volume bars (default: enabled)
Show Distribution Profile: Volume at price histogram (default: enabled)
Session Levels:
Show Current Session H/L: Toggle current session levels (default: enabled)
Show Previous Session H/L: Toggle previous session levels (default: disabled)
Show POC: Toggle Point of Control line (default: enabled)
Show Value Area: Toggle VAH/VAL zone (default: enabled)
Display Options:
Show Dashboard: Toggle metrics table (default: enabled)
Dashboard Position: Bottom-right, top-right, etc. (default: bottom-right)
Color Theme: Choose color scheme
Transparency: Adjust visual element transparency
How to Use This Indicator
Step 1: Identify Active Session
Check dashboard to see which session is active. Focus trading during London and NY sessions for highest volume and best opportunities.
Step 2: Monitor Session VWAP
Use session VWAP as directional bias. Price above VWAP = bullish bias, below = bearish bias. VWAP often acts as support/resistance.
Step 3: Check Volume Distribution
Identify POC and Value Area. These levels often provide strong support/resistance. Price tends to return to POC (fair value).
Step 4: Assess Volume Momentum
Check if volume is rising (accumulation/distribution) or falling (lack of interest). Climax volume often marks important turning points.
Step 5: Use Session High/Low
Current session high/low define intraday range. Breaks above/below these levels signal potential breakout moves.
Step 6: Watch for Session Transitions
Session opens and closes often bring volatility. London open and NY open are particularly important for major moves.
Best Practices
Use on 5-minute to 1-hour timeframes for optimal session analysis
London/NY overlap (08:30-12:00 EST) offers highest volume and best opportunities
Session VWAP acts as magnet - price often returns to it
POC from previous session often becomes support/resistance in current session
Climax volume at session high/low often marks reversal points
Accumulation during Asian session often leads to breakout during London open
Value Area breaks signal strong directional moves
Previous session high/low become key levels for current session
Combine session analysis with other technical tools for best results
Indicator Limitations
Session times are fixed and may not account for daylight saving time changes
Volume distribution requires sufficient data within session to be meaningful
VWAP can be less relevant in very volatile or trending markets
Session high/low can be broken multiple times in volatile conditions
Lower timeframes may show choppy session transitions
Volume data quality varies across different markets and brokers
Asian session analysis less reliable due to lower volume
Requires understanding of session-based trading concepts
Visual elements can clutter chart if all options enabled
Technical Implementation
Built with Pine Script v6 using:
Session detection using time() function with session strings
Session-specific VWAP calculation with reset logic
Volume distribution profiling with POC and Value Area calculation
Volume momentum tracking with MA comparison
Session high/low tracking with persistent variables
Accumulation/distribution detection using volume and price
Dynamic dashboard with real-time session metrics
Optional session boxes with transparency control
Color-coded volume bars based on momentum
The code is fully open-source and can be modified to adjust session times, volume thresholds, and visual preferences.
Originality Statement
This indicator is original in its comprehensive session and volume integration approach. While individual components (session identification, VWAP, volume distribution, volume momentum, session high/low) are established concepts, this mashup is justified because:
It combines session-based analysis with volume distribution profiling
Session-specific VWAP provides more relevant institutional benchmark than daily VWAP
Integration of volume momentum with session context reveals accumulation/distribution phases
Simplified visual presentation (current session H/L only) reduces clutter
Dashboard presents complex session and volume data clearly
Focus on institutional trading sessions (London/NY) aligns with volume reality
Each component contributes unique information: Session identification shows when institutions are active, Volume Distribution reveals where they're trading, VWAP shows their average price, Volume Momentum shows their intent, and Session High/Low marks their range. The mashup's value lies in presenting these complementary session-based perspectives simultaneously, allowing traders to understand how institutional volume flows through different global trading sessions.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Session-based analysis and volume distribution are analytical tools that analyze past data. They do not predict future price movement or guarantee that institutional traders are active at identified levels. Market conditions change, and session patterns that worked historically may not work in the future.
VWAP and volume distribution levels can fail to provide support/resistance. Session highs and lows can be broken without leading to sustained moves. Volume momentum can change rapidly. Past session behavior does not guarantee future session behavior.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
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.
Indicator
Indicator
Volume Profile Area [BigBeluga]🔵 OVERVIEW
The Volume Profile Area is an advanced profiling tool that calculates and visualizes the value area within a chosen period’s volume distribution. It first builds a main profile of the entire range, then constructs a secondary profile inside the defined value area, allowing traders to examine market balance and key trading zones in greater detail.
🔵 CONCEPTS
Volume Profile – Distributes traded volume across price levels to highlight areas of market activity.
Value Area (VA) – The price range containing a chosen percentage of total volume (commonly 50–70%).
Point of Control (PoC) – The price level with the highest traded volume, often acting as a magnet for price.
Nested Profiles – A profile inside the VA adds a second layer of precision, showing where liquidity clusters within the “fair value” zone.
🔵 FEATURES
Main Profile – Full distribution of volume over the selected lookback period.
Secondary Profile – Built only inside the VA of the main profile, highlighting intrabalance structure.
Customizable PoC Selection – Choose between showing the PoC of the
Main Profile ,
the Area Profile ,
their Average ,
or None .
Dynamic Value Area Levels – Automatically plots VAL (Value Area Low) and VAH (Value Area High) with labels.
Overlay Toggles – Show/hide range extremes, VA lines, or PoCs for a cleaner chart view.
Visual Profiles – Main profile shaded in darker blue; the VA profile inside is lighter for clear separation.
Automatic Scaling – Profiles adapt to period highs/lows and auto-adjust bins for consistent resolution.
Volume Labels – PoCs can display traded volume, giving numeric confirmation of liquidity concentration.
🔵 HOW TO USE
Set the Period to define how many bars to include in the main profile.
Adjust the Value Area % to control how much volume defines the VA (e.g., 50% by default).
Pick your PoC option: Main , Area , or Average , depending on focus.
Use VAH/VAL lines as support/resistance levels where most trading occurred.
Compare reactions at Main vs VA PoC levels to spot potential breakouts or mean reversions.
🔵 CONCLUSION
The Volume Profile Area extends traditional profiling by nesting a secondary VA profile inside the main distribution. This dual-layer approach reveals not just where the market was active overall, but where liquidity concentrated within the “fair value” zone—powerful for refining entries, exits, and risk placement across intraday and swing horizons. Indicator
Indicator
RTH Levels: VWAP + PDH/PDL + ONH/ONL + IBAlgo Index — Levels Pro (ONH/ONL • PDH/PDL • VWAP±Bands • IB • Gaps)
Purpose. A session-aware, non-repainting levels tool for intraday decision-making. Designed for futures and indices, with clean visuals, alerts, and a one-click Minimal Mode for screenshot-ready charts.
What it plots
• PDH/PDL (RTH-only) – Prior Regular Trading Hours high/low, computed intraday and frozen at the RTH close (no 24h mix-ups, no repainting).
• ONH/ONL – Prior Overnight high/low, held throughout RTH.
• RTH VWAP with ±σ bands – Volume-weighted variance, reset each RTH.
• Initial Balance (IB) – First N minutes of RTH, plus 1.5× / 2.0× extensions after IB completes.
• Today’s RTH Open & Prior RTH Close – With gap detection and “gap filled” alert.
• Killzone shading – NY Open (09:30–10:30 ET) and Lunch (11:15–13:30 ET).
• Values panel (top-right) – Each level with live distance in points & ticks.
• Right-edge level tags – With anti-overlap (stagger + vertical jitter).
• Price-scale tags – Native trackprice markers that always “stick” to the axis.
⸻
New in v6.4
• Minimal Mode: one click for a clean look (thinner lines, VWAP bands/IB extensions hidden, on-chart right-edge labels off; price-scale tags remain).
• Theme presets: Dark Hi-Contrast / Light Minimal / Futures Classic / Muted Dark.
• Anti-overlap controls: horizontal staggering, vertical jitter, and baseline offset to keep tags readable even when levels cluster.
⸻
Quick start (2 minutes)
1. Add to chart → keep defaults.
2. Sessions (ET):
• RTH Session default: 09:30–16:00 (US equities cash hours).
• Overnight Session default: 18:00–09:29.
Adjust for your market if you use different “day” hours (e.g., many use 08:20–13:30 ET for COMEX Gold).
3. Theme & Minimal Mode: pick a Theme Preset; enable Minimal Mode for screenshots.
4. Visibility: toggle PD/ON/VWAP/IB/References/Panel to taste.
5. Right-edge labels: turn Show Right-Edge Labels on. If they crowd, tune:
• Anti-overlap: min separation (ticks)
• Horizontal offset per tag (bars)
• Vertical jitter per step (ticks)
• Right-edge baseline offset (bars)
6. Alerts: open Add alert → Condition: and pick the events you want.
⸻
How levels are computed (no repainting)
• PDH/PDL: Intraday H/L are accumulated only while in RTH and saved at RTH close for “yesterday’s” values.
• ONH/ONL: Accumulated across the defined Overnight window and then held during RTH.
• RTH VWAP & ±σ: Volume-weighted mean and standard deviation, reset at the RTH open.
• IB: First N minutes of RTH (default 60). Extensions (1.5×/2.0×) appear after IB completes.
• Gaps: Today’s RTH open vs prior RTH close; “Gap Filled” triggers when price trades back to prior close.
⸻
Practical playbooks (how to trade around the levels)
1) PDH/PDL interactions
• Rejection: Price taps PDH/PDL then closes back inside → mean-reversion toward VWAP/IB.
• Acceptance: Close/hold beyond PDH/PDL with momentum → continuation to next HTF/IB target.
• Alert: PD Touch/Break.
2) ONH/ONL “taken”
• Often one ON extreme is taken during RTH. ONH Taken / ONL Taken → check if it’s a clean break or sweep & reclaim.
• Sweep + reclaim near VWAP can fuel rotations through the ON range.
3) VWAP ±σ framework
• Balanced: First tag of ±1σ often reverts toward VWAP.
• Trend: Persistent trade beyond ±1σ + IB break → target ±2σ/±3σ.
• Alerts: VWAP Cross and VWAP Reject (cross then immediate fail back).
4) IB breaks
• After IB completes, a clean IB break commonly targets 1.5× and sometimes 2.0×.
• Quick return inside IB = possible fade back to the opposite IB edge/VWAP.
• Alerts: IB Break Up / Down.
5) Gaps
• Gap-and-go: Opening drive away from prior close + VWAP support → trend until IB completion.
• Gap-fill: Weak open and VWAP overhead/underfoot → trade toward prior close; manage on Gap Filled alert.
Pro tip: Stack confluences (e.g., ONL sweep + VWAP reclaim + IB hold) and respect your execution rules (e.g., require a 5-minute close in direction, or your order-flow confirmation).
⸻
Inputs you’ll actually touch
• Sessions (ET): Session Timezone, RTH Session, Overnight Session.
• Visibility: toggles for PD/ON/VWAP/IB/Ref/Panel.
• VWAP bands: set σ multipliers (±1/±2/±3).
• IB: duration (minutes) and extension multipliers (1.5× / 2.0×).
• Style & Theme: Theme Preset, Main Line Width, Trackprice, Minimal Mode, and anti-overlap controls.
⸻
Alerts included
• PD Touch/Break — High ≥ PDH or Low ≤ PDL
• ONH Taken / ONL Taken — First in-RTH take of ONH/ONL
• VWAP Cross — Close crosses VWAP
• VWAP Reject — Cross then immediate fail back
• IB Break Up / Down — Break of IB High/Low after IB completes
• Gap Filled — Price trades back to prior RTH close
Setup: Add alert → Condition: Algo Index — Levels Pro → choose event → message → Notify on app/email.
⸻
Panel guide
The top-right panel shows each level plus live distance from last price:
LevelValue (Δpoints | Δticks)
Coloring: green if level is below current price, red if above.
⸻
Styling & screenshot tips
• Use Theme Preset that matches your chart.
• For dark charts, “Dark Hi-Contrast” with Main Line Width = 3 works well.
• Enable Trackprice for crisp axis tags that always stick to the right edge.
• Turn on Minimal Mode for cleaner screenshots (no VWAP bands or IB extensions, on-chart tags off; price-scale tags remain).
• If tags crowd, increase min separation (ticks) to 30–60 and horizontal offset to 3–5; add vertical jitter (4–12 ticks) and/or push tags farther right with baseline offset (bars).
⸻
Behavior & limitations
• Levels are computed incrementally; tables refresh on the last bar for efficiency.
• Right-edge labels are placed at bar_index + offset and do not track extra right-margin scrolling (PulseWire limitation). The price-scale tags (from trackprice) do track the axis.
• “RTH” is what you define in inputs. If your market uses different day hours, change the session strings so PDH/PDL reflect your definition of “yesterday’s session.”
⸻
FAQ
Q: My PDH/PDL don’t match the daily chart.
A: By design this uses RTH-only highs/lows, not 24h daily bars. Adjust sessions if you want a different definition.
Q: Right-edge tags overlap or don’t sit at the far right.
A: Increase min separation / horizontal offset / vertical jitter and/or push tags farther with baseline offset. If you want markers that always hug the axis, rely on Trackprice.
Q: Can I change killzones?
A: Yes—edit the session strings in settings or request a version with user inputs for custom windows.
⸻
Disclaimer
Educational use only. This is not financial advice. Always apply your own risk management and confirmation rules.
⸻
Enjoy it? Please ⭐ the script and share screenshots using Minimal Mode + a Theme Preset that fits your style. Indicator
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. Indicator
Market sessions and Volume profile - By LeviathanThis script allows you to keep track of Forex market sessions (Tokyo, London and New York), as well as Daily, Weekly and Monthly sessions. All of them are accompanied by Volume Profile options where you can view VP Histogram, Point of Control, Value Area High and Value Area Low.
Colors, lines and other design preferences are fully customizable.
* Volume Profile of shorter sessions (eg. Tokyo, London, New York) works better when using lower timeframes such as 15min, 5min, etc.
** Use timeframe higher than 15min when viewing Monthly sessions
Indicator settings overview:
SESSION TYPE
- Tokyo session (1:00 - 9:00 UTC/ GMT )
- London session (7:00 - 16:00 UTC/ GMT )
- New York session (13:00 - 22:00 UTC/ GMT )
- Daily session
- Weekly session
- Monthly session
DISPLAY
- Show Volume Profile (Show or hide Volume Profile histogram)
- Show POC (Show or hide Point Of Control line)
- Show VAL (Show or hide Value Area Low line)
- Show VAH (Show or hide Value Area High line)
- Show Live Zone (Show or hide the ongoing session)
VOLUME PROFILE SETTINGS
- Resolution (The higher the value, the more refined of a profile, but less profiles are shown on the chart)
- Smooth Volume Data (Useful for assets that have very large spikes in volume over large bars, helps create better profiles)
APPEARANCE
- Up Volume color (Pick a custom color for up/ bullish volume profile nodes)
- Down Volume color (Pick a custom color for down/ bearish volume profile nodes)
- POC color and thickness (Pick a custom color and thickness for Point Of Control line)
- VAH color and thickness (Pick a custom color and thickness for Value Area High line)
- VAL color and thickness (Pick a custom color and thickness for Value Area Low line)
- Session box thickness (Pick a custom thickness for the session box. Color is provided automatically with optimal contrast)
** Some VP elements are inspired by @LonesomeTheBlue's volume profile script Indicator
Volume/Market ProfileVolume/Market Profile is a 2 in 1 Volume Profile and Market Profile Indicator.
This indicator is my own calculations for compiling a volume profile and market profile.
The profile is progressively calculated live as the chart develops.
I have made use of both Boxes AND Lines to allow me to display a finer granularity profile by displaying up to twice the max amount of lines allowed in pulsewire.
I have spent a lot of time to make sure the values are getting appended exactly as intended so that I can assure this profile is operating as precisely as possible within the limitations of the data available.
To make my calculations easier to use in other places, I have made my volume profile a function that can be extracted and used whenever you need values from a volume profile.
Feel free to read through the script if you don't understand how this profile is developed. I have made a commentary of my volume profile function to help you understand what exactly happens to compile the profiles.
As mentioned before, This indicator doubles as a market profile. To view both at the same time you will need to add the indicator on your chart twice.
I have built in comprehensive customizations to allow you to display your profiles however fits your needs.
Timeframe: The aggregation period for profiles, to see a 1 week profile, change the timeframe to 1 week.
Note: You can add custom timeframes by adding a custom timeframe in your chart timeframe dropdown menu. When you add timeframes in this area, they appear as options within indicators with the timeframe input.
Sensitivity: Allows for greater or less granularity changes. The calculation method for granularity automatically changes depending on the range of your chart.
Note: Multiply this value by 100 and that will be the max range (in ticks) of your price before the indicator automatically adjusts to make the profile less granular. (ex. If price ranges $1, and 1 tick is $0.01, granularity will be 0.01 with a sensitivity of 1+)
Value Area %: % of total volume to display as the value zone. (_% of total profile values are contained within the value zone)
Calculate as Market Profile: Uses a 1 Instead of the candle volume, to display a Market Profile. (If selected POC -> TPOC)
Display Size: Sets the # of bars from the profile axis to the profile's max value. If set negative, profile will be displayed left of axis, if positive, profile will be displayed to the right of the axis.
Display Offset: Sets the # of bars in front(or behind) the current chart bar to set the axis of the profile. If negative, the axis will be to the left of the current chart bar, if positive the axis will be right of the current chart bar.
Display Historical POC/VAH/VAL: Choose to display historical poc,vah,val lines.
Colors: I'm not explaining colors.
Enjoy! Indicator
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