NeoChartLabs POCOne of our Favorite Indicators - the High Time Frame Point of Control with a Volume Profile.
Shout out to p2pasta for the original script, we updated to v6.
Currently included: Monthly, 3 months and 6 months.
/* DEFINITION */
Point Of Control (= POC) is a price level at which the heaviest volumes were traded.
Value Area High/Low (=VAH/VAL) is a range of prices where the majority of trading volume took place. Naturally, Value Area High being the top price level and Value Area Low being the lowest. POC always is between the two.
/* HOW TO TRADE WITH THIS INDICATOR */
The basis for POC is determining bias on whichever timeframe you choose.
1. Identify a POC on the timeframe of your choosing.
/* If you choose a "low" timeframe (monthly here) then make sure to look at the higher timeframes to see how it is playing against a higher timeframe POC.
2. When the price is moving away from the POC (either to the upside or downside) this will confirm or invalidate the trade.
3. You can now enter the trade on bias or wait for a retest of the same POC.
POC
Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO
Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range.
This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur.
🔍 Core Features
📊 Visible Range Volume Profile
🔹Builds a full Volume Profile using only the visible chart range
🔹Splits price into configurable precision bins for maximum accuracy
🔹Detects true volume clusters instead of subjective price levels
🎯 Point of Control (POC)
🔹 Automatically identifies the highest-volume price level
🔹Acts as a magnet price where market participants agree on value
🔹Fully customizable line style, width, and color
🔹 Optional label with timeframe + price + volume (K / M / B)
📦 Value Area (VAH / VAL)
* Calculates Value Area High & Low around the POC
* Default **70% volume range** (institutional standard)
* Optional Value Area fill for clear fair-value visualization
* Helps distinguish **range conditions vs trending moves**
🧱 Volume-Based Support & Resistance Zones
🔹Automatically detects high-impact S&R zones from volume behavior
🔹Zones are visually classified by strength:
🔹 🟢 Strong
🔹 🟡 Medium
🔹 🔴 Weak
🔹Clean box rendering with customizable borders:
🔹 Solid / Dashed / Dotted
🔹 Zones extend dynamically into the future for planning trades
🔄 Dynamic Flip Logic (PRO Standard)
🔹 Advanced Dynamic Flip system:
🔹 Support ➜ Resistance after a breakdown
🔹Resistance ➜ Support after a breakout
🔹 Reflects real market structure shifts
🔹Eliminates outdated static levels
🔁 True Retest & Zone Intelligence
🔹Each zone includes detailed contextual data:
🔹🔄 True Retest Count (price leaves zone and comes back)
🔹⏳ Zone Age (minutes / hours / days)
🔹💪 Strength Classification
🔹🔁 Flip Status
🔹⏱️ Timeframe
🔹💲 Exact price level
🔹All information is displayed in a single clean label.
🔔 Smart Alerts System
🔹Never miss key interactions:
🔹🟢 Touch Alert — price enters a zone
🔹⬇️⬆️ Break Alert — zone failure or breakout
🔹🔄 Retest Alert — classic break & retest setup
Alerts trigger on confirmed bars to reduce noise and false signals.
📋 Professional Dashboard
🔹At-a-glance market overview:
🔹Total Support & Resistance zones
🔹🎯 POC level
🔹📦 VA High / VA Low
🔹💪 Strong / Medium / Weak zone distribution
🔹📍 Nearest Support & Resistance
🔹📏 Distance to key levels
🔹 🎨 Auto / Dark / Light theme support
🔹 📐 Adjustable size & position
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period.
The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it.
By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow.
🔹 Features
1. RSI-Based Distribution Profile
-Builds a histogram of RSI values between 0 and 100.
-The RSI range is divided into a user-defined number of bins (e.g., 30 bins).
-Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100.
-For each bar in the lookback period, the script:
-Finds which bin the RSI value belongs to
Adds either:
-1.0 → if using time/frequency
-volume → if using volume-weighted RSI distribution
This creates a clear profile of where RSI has been concentrated over the chosen lookback window.
2. Time / Volume Weighting Mode
Under Profile Settings, you can choose:
-Weight by Volume = false
→ Profile is built using time spent at each RSI level (frequency).
-Weight by Volume = true
→ Profile is built using volume traded at each RSI level.
This flexibility allows you to decide whether you want:
-A pure momentum structure (time spent at each RSI)
-Or a participation-weighted structure (where higher-volume zones are emphasized)
3. Configurable Lookback & Resolution
-Profile Lookback: number of historical bars to analyze.
-Number of Bins: controls the resolution of the histogram:
Fewer bins → smoother, fewer gaps
More bins → more detail, but potentially more visual sparsity
-Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration.
This provides a balance between performance, clarity, and visual density.
4. Value Area, POC, VAH, VAL
The script computes:
-POC (Point of Control)
→ The RSI bin with the highest total value (time or volume).
-Value Area (VA)
→ The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%).
-VAH & VAL
→ Upper and lower RSI boundaries of this Value Area.
These are then drawn as horizontal lines and labeled:
-POC line and label
-VAH line and label
-VAL line and label
This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis.
5. Color Coding & Visual Design
The histogram bars (boxes) are colored using a smart scheme:
-Below 30 RSI → Oversold zone, uses the Oversold Color (default: green).
-Above 70 RSI → Overbought zone, uses the Overbought Color (default: red).
-Between 30 and 70 RSI → Neutral zone, uses a gradient between:
A soft blue at lower mid levels
A soft orange at higher mid levels
Additional styling:
-POC bin is highlighted in bright yellow.
-Bins inside the Value Area → lower transparency (more solid).
-Bins outside the Value Area → higher transparency (faded).
This makes it easy to visually distinguish:
-Core RSI activity (VA)
-Extremes (oversold/overbought)
-The single dominant zone (POC)
🔹 Calculations
This section summarizes the core logic behind the script and highlights the main building blocks that power the profile.
1. Profile Structure and Bin Initialization
A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record:
method initBins(Profile p) =>
p.bins := array.new()
float step = 100.0 / p.binCount
for i = 0 to p.binCount - 1
float low = i * step
float high = (i + 1) * step
p.bins.push(Bin.new(low, high, 0.0, box(na)))
2. Filling the Profile Over the Lookback Window
On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile:
if barstate.islast
myProfile.reset()
int start = math.max(0, bar_index - lookback)
int end = bar_index
for i = 0 to (end - start)
float r = rsi
float v = volume
if not na(r)
myProfile.add(r, v)
The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode:
method add(Profile p, float rsiValue, float volumeValue) =>
int idx = int(rsiValue / (100.0 / p.binCount))
if idx >= p.binCount
idx := p.binCount - 1
if idx < 0
idx := 0
Bin targetBin = p.bins.get(idx)
float addedValue = p.useVolume ? volumeValue : 1.0
targetBin.value += addedValue
3. Finding POC and Building the Value Area
Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered:
for in p.bins
totalVal += b.value
if b.value > maxVal
maxVal := b.value
pocIdx := i
float vaTarget = totalVal * (p.vaPercent / 100.0)
float currentVaVol = maxVal
int upIdx = pocIdx
int downIdx = pocIdx
while currentVaVol < vaTarget
float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0
float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0
if upVol == 0 and downVol == 0
break
if upVol >= downVol
upIdx += 1
currentVaVol += upVol
else
downIdx -= 1
currentVaVol += downVol
PoC Migration Map [BackQuant]PoC Migration Map
A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime.
What this is
This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart.
The result is a "migration map" of value:
A side volume profile that shows how volume is distributed over the recent price range.
A sequence of PoC nodes that show where local value has been accepted over time.
Lines that connect those PoCs to reveal the path of value migration.
Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime.
Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend.
Core components
Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window.
Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time.
Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21.
PoC labels - optional labels on every Nth PoC for easier reading and referencing.
How it works
1) Global lookback and binning
You choose:
Lookback Bars - how far back to collect data.
Number of Bins - how finely to split the price range.
The script:
Finds the highest high and lowest low in the lookback.
Computes the total price range and divides it into equal binCount slices.
Assigns each bar's close and volume into the appropriate price bin.
This creates a discretized volume distribution across the entire lookback.
2) Side volume profile
If "Show Side Profile" is enabled, a right-hand volume profile is drawn:
Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar.
The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin.
Optionally, volume values and percentages are printed inside the profile bars.
Color and transparency are controlled by:
Base Profile Color and its transparency.
A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins.
Profile Width (%) - how wide the maximum bin can extend in bars.
This gives you an at-a-glance view of the volume landscape for the chosen lookback window.
3) Segmenting for PoC migration
To build the PoC trail, the lookback is divided into segments:
Bars per Segment - bars in each local cluster.
Number of Segments - how many segments you want to see back in time.
For each segment:
The script uses the same price bins and accumulates volume only from bars in that segment.
It finds the bin with the highest volume in that segment, which is the local PoC for that segment.
It sets the PoC price to the center of that bin.
It finds the "mid bar" of the segment and places the PoC node at that time on the chart.
This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time.
4) Trend regime and color coding
The indicator precomputes:
EMA 12 (Fast).
EMA 21 (Slow).
For each PoC:
It samples EMA 12 and EMA 21 at the mid bar of that segment.
It computes a simple trend score as fast EMA minus slow EMA.
If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by:
Trend Up Color if EMA 12 is above EMA 21.
Trend Down Color if EMA 12 is below EMA 21.
Trend Flat Color if they are roughly equal.
If the trend heatmap is disabled, PoC color is instead based on PoC migration:
If the current PoC is above the previous PoC, use the Up PoC Color.
If the current PoC is below the previous PoC, use the Down PoC Color.
If unchanged, use the Flat PoC Color.
5) Connecting PoCs and labels
Once PoC prices and times are known:
Each PoC is connected to the previous one with a dotted line, using the PoC's color.
Optional labels are placed next to every Nth PoC:
Label text uses a simple "PoC N" scheme.
Label background uses a configurable label background color.
Label border is colored by the PoC's own color for visual consistency.
This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart.
What it plots
When fully enabled, you will see:
A right-sided volume profile for the chosen lookback window, built from volume by price.
Colored horizontal bars representing each price bin's relative volume.
Optional volume text showing each bin's volume and its percentage of the profile maximum.
A series of PoC nodes spaced across the chart at the mid point of each segment.
Dotted lines connecting those PoCs to show the migration path of value.
Optional PoC labels at each Nth node for easier reference.
Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift.
Reading PoC migration and market pressure
Side profile as a pressure map
The side profile shows where trading has been most active:
Thick, opaque bars represent high volume zones and possible high interest or acceptance areas.
Thin, faint bars represent low volume zones, potential rejection or transition areas.
When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size.
When price moves quickly through low volume bins, it often does so with less friction.
This gives you a static map of where the market has been willing to do business within your lookback.
PoC trail as a value migration map
The PoC chain represents "where value has lived" over time:
An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices.
A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down.
A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance.
Taken together, you can interpret:
Side profile as "where the volume mass sits", a static pressure field.
PoC trail as "how that mass has moved", the dynamic path of value.
Trend heatmap as a regime overlay
When PoCs are colored by the EMA 12 / 21 spread:
Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime.
Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime.
Gray PoCs mark flat or ambiguous trend segments.
This lets you answer questions like:
"Is value migrating higher while the trend regime is also up?" (trend confirming value).
"Is value migrating higher but most PoCs are red?" (value against the prevailing trend).
"Has value started to roll over just as PoCs flip from green to red?" (early regime transition).
Key settings
General Settings
Lookback Bars - how many bars back to use for both the global volume profile and segment profiles.
Number of Bins - how many price bins to split the high to low range into.
Profile Settings
Show Side Profile - toggle the right-hand volume profile on or off.
Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars.
Base Profile Color - the starting color for profile bars, with transparency.
Show Volume Values - if enabled, print volume and percent for each non-zero bin.
Profile Text Color - color for volume text inside the profile.
PoC Migration Settings
Show PoC Migration - toggle the PoC trail plotting.
Bars per Segment - the number of bars contained in each segment.
Number of Segments - how many segments to build backwards from the current bar.
Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.)
Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels).
Right Offset (bars) - horizontal offset to anchor the side profile on the right.
Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off.
Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off.
Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off.
PoC Label Background - background color for PoC labels.
Trend Heatmap Settings
Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors.
Fast EMA - length for the fast EMA.
Slow EMA - length for the slow EMA.
Trend Up Color - color for PoCs in a bullish EMA regime.
Trend Down Color - color for PoCs in a bearish EMA regime.
Trend Flat Color - color for neutral or flat EMA regimes.
Trading applications
1) Value migration and trend confirmation
Use the PoC path to see if value is following price or lagging it:
In a healthy uptrend, price, PoCs, and trend regime should all lean higher.
In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs.
In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle.
2) Identifying acceptance and rejection zones
Combine the side profile with PoC locations:
High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points.
PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones.
High volume zones with mixed PoC colors may signal balance or prolonged negotiation.
3) Structuring entries and exits
Use the map to refine trade location:
Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change.
Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries.
Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise.
4) Regime transitions
Watch how PoCs behave as the EMA regime changes:
A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend.
If EMAs flip but PoC migration does not follow, the trend signal may be early or false.
A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend.
Best practices
Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse.
Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing.
Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing.
Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests.
Notes
This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand:
Where the bulk of trading has occurred in your chosen window.
How the center of volume has migrated over time.
Whether that migration is aligned with or fighting the current trend regime.
By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
mrD-Volume Profile HeatmapThis indicator combines advanced volume analysis with institutional-grade visualization techniques to provide traders with a comprehensive view of market structure and liquidity zones.
WHAT MAKES THIS UNIQUE:
• Proprietary bidirectional volume profiling algorithm that separates buying and selling pressure using VWAP deviation analysis, not standard volume bars
• Custom heatmap visualization engine with adaptive gradient calculation based on volume-weighted price distribution across multiple timeframes
• Integrated Weekly VWAP with hlc3 weighting for institutional reference levels
• Dynamic POC (Point of Control) detection with fixed-height text boxes for clarity
• Optimized rendering system that handles 500+ bars efficiently without lag
HOW IT WORKS:
The algorithm analyzes volume distribution at each price level within the lookback period, applying a proprietary weighting system that considers:
1. Volume-weighted average price (VWAP) deviation to classify volume as bullish/bearish
2. Price levels are binned into customizable rows (bins) for granular analysis
3. Volume bars extend bidirectionally: positive volume (green) extends left, negative volume (red) extends right
4. Heatmap overlay uses multi-level gradient mapping (6-color spectrum) to highlight high volume nodes
5. Weekly VWAP provides macro trend reference with session-based reset logic
VOLUME PROFILE MECHANICS:
• Calculates volume distribution across price levels using a grid-based binning system
• Each bin accumulates volume when the price touches that level
• Positive/negative classification based on VWAP position (above = bullish, below = bearish)
• POC automatically identifies the price level with maximum volume concentration
• Display shows volume intensity through color gradients and bar lengths
HEATMAP VISUALIZATION:
• Uses exponential gradient multiplier (default 1.9) for enhanced contrast
• Color transitions: Dark Blue (low volume) → Cyan → Green → Yellow (high volume)
• Transparency-adjusted overlays ensure chart readability
• Real-time updates as new volume data arrives
WEEKLY VWAP INTEGRATION:
• Resets at the start of each trading week (request.security logic)
• Uses hlc3 (typical price) as the volume-weighted source
• Provides institutional reference level for swing traders
• Yellow color (#FFEB3B) for easy identification
KEY PARAMETERS:
• Period: Lookback window for volume calculations (default: 500 bars)
• Bins: Number of price levels for volume distribution (default: 150 rows)
• Offset: Horizontal positioning of volume bars (default: 50)
• Heatmap Rows: Granularity of heatmap overlay (default: 250)
• POC displays actual volume numbers for transparency
TRADING APPLICATIONS:
→ Identify high-volume nodes as support/resistance zones
→ Detect liquidity clusters where institutional orders concentrate
→ Spot low-volume areas where price may move quickly (thin zones)
→ Use bidirectional volume to assess buying vs selling pressure
→ Combine with Weekly VWAP for multi-timeframe confluence
→ POC levels often act as price magnets (mean reversion targets)
TECHNICAL IMPLEMENTATION NOTES:
• Optimized for intraday to swing timeframes (1m to Daily charts)
• Volume calculations use session-based accumulation (no future data)
• Box rendering is limited to 500 objects for performance
• Gradient calculations use mathematical power functions for smooth transitions
• VWAP calculation follows institutional standard (volume-weighted hlc3)
RESTRICTIONS:
This is a proprietary algorithm. Redistribution, modification, or commercial use is strictly prohibited. The logic and methods contained herein are confidential and protected intellectual property.
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DISCLAIMER & RISK WARNING
This indicator is provided solely for educational and informational purposes. It is designed to help traders understand market structure, volume distribution, and price action analysis. This tool should be used as part of a comprehensive trading education program.
NOT FINANCIAL ADVICE:
The information and signals provided by this indicator DO NOT constitute financial advice, investment advice, trading advice, or any other sort of advice. You should not treat any of the indicators' content, outputs, or signals as such. Nothing contained in this indicator constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or other financial instruments in this or in any other jurisdiction.
NO GUARANTEED RESULTS:
Past performance is NOT indicative of future results. The historical backtesting results, volume patterns, and statistical data shown by this indicator do not guarantee future performance or success. Market conditions change constantly, and what worked in the past may not work in the future. Trading and investing involve substantial risk of loss.
MARKET VOLATILITY:
Financial markets are inherently volatile and unpredictable. Volume patterns, support/resistance levels, and other technical indicators can fail at any time. No indicator can predict market movements with certainty. Always use proper risk management and position sizing.
By using this indicator, you acknowledge that you have read, understood, and agree to this disclaimer in its entirety. If you do not agree with any part of this disclaimer, you should not use this indicator.
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map.
The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared.
On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing.
This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves.
Features
Combined volume profile and MFI weighting
The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level.
Volume distributed across the bar price range
For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened.
MFI based color gradient between 30 and 70
Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually.
Configurable structure resolution and depth
Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure.
Numeric labels with volume and MFI per row
Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact.
Calculations
Money Flow Index calculation
currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual,
Creation of the profileBins array
The script creates an array named profileBins that will hold one VPBin element per price row.
Each VPBin contains
volume which is the total volume accumulated at that price row
mfiProduct which is the sum of volume multiplied by MFI for that row
The loop;
for i = 0 to rowCount - 1 by 1
array.push(profileBins, VPBin.new(0.0, 0.0))
pre allocates a clean structure with zero values for all rows.
Finding highest and lowest price across the lookback
The script starts from the current bar high and low, then walks backward through the lookback window
for i = 0 to lookback - 1 by 1
highestPrice := math.max(highestPrice, high )
lowestPrice := math.min(lowestPrice, low )
After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback.
Price range and step size for rows
The code computes
float rangePrice = highestPrice - lowestPrice
rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice
float step = rangePrice / rowCount
rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index.
Processing each bar in the lookback
For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI
float barTop = high
float barBottom = low
float barVol = volume
float barMfi = currentMfi
Mapping bar prices to bin indices
The bar high and low are converted into row indices using the known lowestPrice and step
int indexTop = math.floor((barTop - lowestPrice) / step)
int indexBottom = math.floor((barBottom - lowestPrice) / step)
Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range
Splitting bar volume across all covered bins
Once the top and bottom indices are known, the script calculates how many rows the bar spans
int coveredBins = indexTop - indexBottom + 1
float volPerBin = barVol / coveredBins
float mfiPerBin = volPerBin * barMfi
Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used.
Accumulating into each VPBin
Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin
for k = indexBottom to indexTop by 1
VPBin binData = array.get(profileBins, k)
binData.volume := binData.volume + volPerBin
binData.mfiProduct := binData.mfiProduct + mfiPerBin
Over all bars in the lookback window, each row builds up
total volume at that price range
total volume times MFI at that price range
Later, during the drawing stage, the script computes
avgMfi = bin.mfiProduct / bin.volume
for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Hidden Volume Profile[52Signal Recipe]─────────────────────────────────────
52SIGNAL RECIPE Hidden Volume Profile
◆ Overview
52SIGNAL RECIPE Smart Volume Profile is an advanced volume distribution indicator that visualizes buying and selling strength across different price levels. Unlike traditional volume profiles that only display total volume, this enhanced version separates buy volume and sell volume at each price level, revealing the hidden balance of market forces at specific prices.
Built on the same sophisticated calculation methodology as our Hidden Volume Detector, this indicator applies enhanced volume analysis to the Volume Profile framework. By displaying horizontal volume bars (green for buying, red for selling) at each price level in a separate panel, it provides clear insight into where market participants accumulated or distributed their positions.
Furthermore, when used alongside the Hidden Volume Detector that shows individual candle analysis, it enables traders to understand both micro-level (candle-by-candle) and macro-level (price-level) market dynamics comprehensively, supporting more effective trading strategies.
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◆ Key Features
Price-Level Volume Distribution: Displays horizontal volume bars at each price level, showing where the most trading activity occurred
Buy/Sell Volume Separation: Green bars represent buying volume (bullish pressure), red bars represent selling volume (bearish pressure) at each price level
POC (Point of Control) Identification: Automatically marks the price level with the highest total volume, acting as a strong support/resistance level
Enhanced Buy/Sell Calculation: Analyzes candle structure, position, and momentum to distinguish genuine buying pressure from selling pressure, using the same algorithm as Hidden Volume Detector
Customizable Display: Adjustable number of price levels (rows), analysis period (lookback bars), color customization, and POC line toggle
Magnet Effect Visualization: Shows how price gravitates toward high-volume areas, particularly the POC
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◆ Trading Application Points
Identify strong support zones where large green bars indicate buyer accumulation
Identify strong resistance zones where large red bars indicate seller distribution
Use POC as a key pivot point for support/resistance trading
Detect volume imbalances at specific price levels to find bullish or bearish zones
Combine with Hidden Volume Detector for complete analysis: individual candle timing (Hidden Volume) + price level zones (Volume Profile)
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◆ Synergy With Other Indicators
Use with Hidden Volume Detector for multi-dimensional volume analysis: candle-level detail + price-level overview
Combine with trend indicators (Moving Averages, MACD) to validate support/resistance levels in trending markets
Use with price action patterns to confirm breakout or reversal signals at key volume levels
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◆ Conclusion
52SIGNAL RECIPE Smart Volume Profile is a powerful and intuitive tool that reveals the distribution of buying and selling forces across price levels. By visualizing buy and sell volumes separately at each price level and identifying the POC, it allows traders to understand where market participants made their decisions and where key support/resistance levels exist.
Especially when used together with the Hidden Volume Detector, it provides a complete volume analysis system: Hidden Volume shows real-time buying/selling pressure in individual candles for precise entry/exit timing, while Smart Volume Profile shows accumulated buying/selling zones across price levels for strategic planning. This combination enables traders to interpret market dynamics from both micro and macro perspectives, ultimately supporting more informed and effective trading decisions.
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※ Disclaimer: This indicator is provided as a supplementary analysis tool and should not be used as the sole basis for trading decisions. Past data does not guarantee future results. Volume Profile is most effective in ranging markets and may be less reliable in strong trending conditions. Always apply proper risk management.
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52SIGNAL RECIPE Hidden Volume Profile
◆ 개요
52SIGNAL RECIPE Smart Volume Profile은 가격대별 매수와 매도의 거래량 분포를 시각화하는 고급 볼륨 분석 지표입니다. 단순히 전체 거래량만 표시하는 기존 볼륨 프로파일과 달리, 각 가격대에서의 매수 볼륨과 매도 볼륨을 분리하여 보여줌으로써 특정 가격에서의 시장 세력 간 숨겨진 균형을 드러냅니다.
Hidden Volume Detector와 동일한 정교한 계산 방식을 기반으로, Volume Profile 프레임워크에 강화된 볼륨 분석을 적용했습니다. 각 가격대에 수평 거래량 막대(초록색 매수, 빨간색 매도)를 별도 패널에 표시하여, 시장 참여자들이 어느 가격에서 포지션을 축적하거나 분산했는지 명확하게 파악할 수 있도록 지원합니다.
또한, 개별 캔들 분석을 보여주는 Hidden Volume Detector와 함께 병행해 보면, 미시적 수준(캔들별)과 거시적 수준(가격대별) 시장 역학을 모두 종합적으로 이해할 수 있어, 훨씬 효과적인 매매 전략 수립이 가능합니다.
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◆ 주요 특징
가격대별 거래량 분포: 각 가격대에 수평 거래량 막대를 표시하여 가장 많은 거래가 일어난 곳을 시각화
매수·매도 볼륨 구분: 각 가격대에서 초록색 막대는 매수 볼륨(상승 압력), 빨간색 막대는 매도 볼륨(하락 압력) 표시
POC (Point of Control) 식별: 가장 많은 거래량이 발생한 가격대를 자동으로 표시하며, 강력한 지지/저항선 역할 수행
향상된 매수·매도 계산: 캔들의 구조, 위치, 모멘텀을 분석하여 진정한 매수 압력과 매도 압력을 구분하며, Hidden Volume Detector와 동일한 알고리즘 사용
커스터마이징 가능한 디스플레이: 가격 레벨 수(행), 분석 기간(룩백 바), 색상 커스터마이징, POC 라인 토글 조정 가능
자석 효과 시각화: 가격이 고거래량 구간, 특히 POC로 회귀하려는 경향을 보여줌
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◆ 트레이딩 활용 포인트
큰 초록 막대가 있는 곳을 강한 지지 구간으로 활용(매수 세력 축적)
큰 빨간 막대가 있는 곳을 강한 저항 구간으로 활용(매도 세력 분산)
POC를 핵심 피봇 포인트로 활용하여 지지/저항 매매 전략 수립
특정 가격대의 거래량 불균형을 감지하여 강세 또는 약세 구간 파악
Hidden Volume Detector와 결합하여 완전한 분석: 개별 캔들 타이밍(Hidden Volume) + 가격대 구간(Volume Profile)
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◆ 다른 지표와 조합 가능성
Hidden Volume Detector와 함께 사용하여 다차원적 볼륨 분석: 캔들 레벨 디테일 + 가격 레벨 전체 조망
추세 지표(이동평균선, MACD)와 결합하여 추세장에서 지지/저항 레벨 검증
가격 패턴과 함께 활용하여 주요 거래량 레벨에서의 돌파 또는 반전 신호 확인
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◆ 결론
52SIGNAL RECIPE Smart Volume Profile은 가격대별 매수와 매도 세력의 분포를 드러내는 강력하고 직관적인 지표입니다. 각 가격대에서 매수 볼륨과 매도 볼륨을 분리하여 시각화하고 POC를 식별함으로써, 시장 참여자들이 어디서 의사결정을 내렸는지, 어디에 주요 지지/저항 레벨이 존재하는지 이해할 수 있도록 돕습니다.
특히 Hidden Volume Detector와 함께 사용하면 완전한 볼륨 분석 시스템을 구축할 수 있습니다. Hidden Volume은 개별 캔들에서의 실시간 매수/매도 압력을 보여줘 정확한 진입/청산 타이밍을 제공하고, Smart Volume Profile은 가격대별 누적된 매수/매도 구간을 보여줘 전략적 계획 수립을 지원합니다. 이러한 조합은 트레이더들이 미시적·거시적 관점 모두에서 시장 역학을 해석할 수 있게 하여, 궁극적으로 더 정보에 기반한 효과적인 매매 의사결정을 가능하게 합니다.
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※ 면책 조항: 본 지표는 투자 판단을 위한 보조 도구로 제공되며, 단독 의존해서는 안 됩니다. 과거 데이터에 기반한 분석이므로 미래 결과를 보장하지 않습니다. Volume Profile은 횡보장에서 가장 효과적이며 강한 추세 상황에서는 신뢰도가 낮을 수 있습니다. 적절한 리스크 관리와 함께 사용하시기 바랍니다.
Low Volatility Profiles [BigBeluga]🔵 OVERVIEW
Low Volatility Profiles is a market compression and breakout-anticipation tool that identifies phases of low volatility using ADX and then builds a real-time volume profile inside the detected range.
This helps traders spot accumulation/distribution zones and prepare for explosive moves when volatility expands.
When volatility is low ➜ price coils ➜ volume organizes ➜ breakouts become highly actionable.
This tool visualizes that process with dynamic range boxes + volume bins + PoC extension.
🔵 CONCEPTS
Low-Volatility Detection — Uses ADX threshold & cross logic to define volatility contraction regimes.
Range Construction — Draws a price box that expands with highs/lows during the compression phase.
Micro Volume Profile — Builds a volume histogram inside the range using bins (micro volume nodes).
Delta Calculation — Tracks positive vs negative volume to gauge buyer/seller pressure within range.
Point of Control (PoC) — Highlights the price level with max traded volume inside the range.
PoC Extension — Optionally extends PoC into future bars to show potential reaction zone after breakout.
Breakout Validation — Ends the profile zone when price breaks above or below the modeled range.
Noise Removal — Automatically removes invalid or small ranges to prevent chart clutter.
This tool turns consolidation into actionable structure by exposing where smart money accumulates before trending moves.
🔵 FEATURES
ADX-Driven Range Detection — Identify when market transitions into low-volatility compression.
Configurable ADX Threshold — Set sensitivity for contraction zones.
Cross-Type Option — Detect low volatility via cross under / crossover logic.
Dynamic Range Box — Expands live with price as contraction unfolds.
Micro Volume Profile (Bins) — Distributes volume across bins inside range for micro POC mapping.
Volume Delta Visualization — Shows imbalance inside consolidation (accumulation vs distribution).
Real-Time PoC Highlight — Instantly shows most traded price inside the compression.
PoC Extension Mode — Extend PoC forward to project reaction levels post-breakout.
Clean Auto-Reset Logic — Removes boxes if range invalid or breakout occurs too fast.
Optional Filled Boxes — Heatmap-style profile visualization inside range body.
ADX Line + Threshold Plot — Visual assistance for volatility state monitoring.
🔵 HOW TO USE
Identify Accumulation Zones — When price enters low-volatility ADX condition and profile builds.
Watch the PoC — PoC acts as battle zone; move above/below can signal initiator strength.
Breakout Strategy — Trade break above/below the range after compression.
Mean Reversion Inside Range — Fade edges while price remains inside compression box.
Combine With Trend Tools — Use trend confirmation (MA/EMA/Flow indicators) after breakout.
Use Delta Clues — Positive delta tilt suggests accumulation; negative suggests distribution.
Monitor Range Size — Longer build + high PoC volume = stronger potential breakout energy.
🔵 CONCLUSION
Low Volatility Profiles isolates accumulation phases and maps volume concentration before volatility expansion.
By combining ADX compression, micro volume distribution, and PoC tracing, traders gain an edge in anticipating powerful breakout cycles and institutional positioning.
Trade the quiet moment before the storm — where smart money prepares the move, and the real opportunity emerges.
Volume Matrix Pro [ChartNation]Volume Matrix Pro is a comprehensive volume profile indicator that combines delta-colored volume distribution analysis with adaptive pivot detection and automated volume node identification. The indicator visualizes where institutional volume accumulated at specific price levels, providing traders with precise entry zones backed by actual trading data.
KEY FEATURES:
Delta-Colored Volume Profile: Displays volume distribution across price bins with automatic delta coloring - green bins show buyer dominance, red bins show seller control at each price level
High Volume Nodes (HVN) Detection: Automatically identifies and marks price levels with ≥80% of POC volume using yellow diamond markers - these act as magnetic support/resistance zones where institutions built positions
Low Volume Nodes (LVN) Detection: Marks thin volume areas with gray diamond markers - zones where price moves quickly with minimal friction, ideal for breakout targets
Adaptive Smart Pivots: ATR-based pivot detection that automatically adjusts length based on market volatility - catches more swings in low volatility, filters to major reversals in high volatility
Point of Control (POC) Line: Identifies the price level with maximum traded volume - the market's center of gravity. Line colors by delta: green when buyers dominated, red when sellers controlled the level
Value Area Lines: Dotted lines marking the 70% value area (configurable 50-98%) with delta-based coloring showing cumulative buyer/seller pressure within the range
Circle Pivot Markers: Clean visual markers at confirmed pivot points with translucent horizontal lines extending to current bar
Extend-Until-Touch: Pivot lines automatically retract when price touches them, keeping charts clean and showing active levels only
Dual Profile Modes: Left-side profile (default) or right-pinned bars ahead of price with fully customizable width and padding
Volume-Filtered Pivots: Only displays pivots with significant volume backing (≥20% of POC by default) - institutional turning points, not noise
HOW IT WORKS:
The indicator divides the lookback range (default 200 bars) into volume bins (default 50) and calculates total volume and delta (buying vs selling pressure) at each price level. Each bin is colored green if buyers dominated (close > open majority) or red if sellers controlled (close < open majority).
High Volume Nodes mark price levels where the most trading occurred - these become magnetic support/resistance zones. The Point of Control identifies the single price with maximum volume, acting as the market's gravitational center.
Smart Pivots use ATR to adapt to changing volatility, then filter against the volume profile. Only pivots with substantial volume backing are displayed, ensuring you see institutional turning points, not random noise.
RECOMMENDED SETTINGS:
Scalping (1-5 min): 100 lookback bars, 40 bins, 5-7 pivot length
Day Trading (15 min - 1 hour): 200 lookback bars, 50 bins, 10 pivot length (default)
Swing Trading (4 hour - Daily): 300-500 lookback bars, 60 bins, 15-20 pivot length
USAGE TIPS:
Enter long when price touches green HVN zones with adaptive pivot confirmation
Enter short when price reaches red HVN zones with pivot confirmation
Use POC as first target when entering below it, or as support backup when entering above
Watch for LVN zones as potential breakout acceleration areas
Combine green delta bins + HVN + pivot for highest-probability setups
WHAT MAKES THIS DIFFERENT:
Unlike traditional volume profiles, Volume Matrix Pro colors each bin individually by delta, giving granular insight into buyer/seller control at every price level. The adaptive pivot system adjusts automatically to volatility, while volume-filtering ensures only institutionally-backed turning points are displayed. High/Low Volume Node detection is fully automated with visual markers.
IMPORTANT NOTES:
This is a volume analysis tool - use with trend analysis and risk management
High Volume Nodes show where volume accumulated historically, not future support/resistance guarantees
Adaptive pivots adjust to volatility automatically but can still produce false signals in choppy markets
Best used as confirmation alongside price action, not as a standalone system
Profile recalculates on each bar to reflect current lookback range
Volume Dynamics Pro [ChartNation]Volume Dynamics Pro by ChartNation is an advanced volume profile indicator that visualizes volume distribution across price levels using a proprietary mirrored butterfly design. The indicator identifies high-volume nodes (areas of significant trading activity) and the Point of Control (POC) - the price level with the highest traded volume within the lookback period.
KEY FEATURES:
Dynamic Volume Profile: Displays volume distribution across 25 price bins with a mirrored butterfly visualization that extends into future bars for forward-looking analysis
Point of Control (POC): Automatically identifies and highlights the price level with maximum volume, featuring a pulsing animation and optional price label with customizable positioning
Multiple Anchoring Modes: Choose between Rolling, Daily, Weekly, Monthly, or Session-based profile calculations to match your trading timeframe
Smart Range Calculation: Three range modes (Fixed Lookback, Hybrid Smart, Percentage-Based) automatically adjust the volume profile range based on recent price action
Volume-Responsive Visualization: Line thickness and glow intensity scale with volume magnitude, making high-volume areas immediately visible
Premium Statistics Box: Real-time display of POC price, total volume, range metrics, and price position relative to POC
Advanced Alert System: Configurable alerts for POC crosses, range breakouts, high-volume zone entries, and volume spikes
Professional Styling: Volume-based line styles (solid/dashed/dotted), gradient bias coloring (support/resistance), dual-tone depth borders, and customizable glow effects
HOW IT WORKS:
The indicator divides the price range into 25 bins and calculates total volume traded at each level. The mirrored butterfly profile displays this distribution, with wider sections indicating higher volume. The POC line marks the price with maximum activity - a critical level often acting as support or resistance.
Volume traces are color-coded: green tint below current price (potential support), red tint above (potential resistance). The intensity of coloring increases as price approaches each level, helping traders identify nearby high-volume zones.
USE CASES:
Identify institutional order flow and accumulation/distribution zones
Locate high-probability support and resistance levels based on actual trading activity
Track POC shifts to understand changing market structure
Confirm breakout validity by analyzing volume at key price levels
Optimize entry/exit points around high-volume nodes
SETTINGS OVERVIEW:
The indicator offers extensive customization across multiple groups: POC styling and extensions, statistics box display, profile anchoring, range calculation modes, alert configuration, line styles, volume-proportional thickness, gradient bias, glow system, depth borders, POC pulse animation, and volume profile display parameters.
POC Lines (Daily / Weekly / Monthly)This indicator plots the Point of Control (POC) on your chart for three key timeframes — daily, weekly, and monthly. The POC is the price level at which the highest trading volume occurred during a given period, highlighting where market participants were most active.
How to Trade Using the Daily / Weekly / Monthly POC Indicator
Identify Market Bias
Use the monthly POC as a major structural reference. If price is above the monthly POC, bias may be bullish; below it may signal caution or potential bearish bias.
Use the weekly POC for intermediate trend context. Price respecting the weekly POC can enhance confidence in direction.
Use the daily POC for fine-tuning entries, exits or intraday structure.
Use POC as Support/Resistance Zones
When price approaches a POC from above, the level can act as support — look for bullish reversal signals.
When price approaches a POC from below, it can act as resistance — look for bearish rejection setups.
If price breaks through a POC convincingly (with strong volume or momentum), then the level may flip: the broken POC becomes a new reference zone for opposite side trades.
Timeframe Confluence = Higher Probability
A trade setup is stronger when the daily, weekly, and monthly POCs align or cluster near the same price zone. This confluence raises the chance that price will react.
Conversely, avoid setups where the POCs are widely scattered across timeframes — these have less structural weight.
Entry, Stop & Target Strategy
Entry: Enter once price touches a significant POC level and shows confirmation (e.g., candlestick reversal, volume spike, or confluence with other level).
Stop-Loss: Place stop just beyond the POC level (for support trades, slightly below; for resistance trades, slightly above).
Target: Use the next major POC or price structure level (previous high/low, value area edges) as your initial target. If price moves through the POC, target a breakout to the next structural zone.
Be patient — price may test a POC level multiple times or ignore it entirely before reacting.
Use the POC indicator as a guiding framework, not a guarantee. Combine with other tools (trend direction, price action, volume, market context) to refine your execution.
POC Volume Bar (Highest Volume in Range)What the highlighted POC bar means
🔶 1. Institutional interest
A POC often identifies where big money stepped in.
🔶 2. Support or resistance pivot
Large volume often signals:
• A reversal
• A breakout
• Or the beginning of a trend
🔶 3. Liquidity magnet
Price tends to revisit high-volume bars.
They act like magnets.
🔶 4. Trend confirmation or exhaustion
High volume on:
• Green candle → bullish participation
• Red candle → distribution / aggressive selling
Balanced Delta Volume Profile (Zeiierman)█ Overview
Balanced Delta Volume Profile (Zeiierman) builds a vertical, price-by-price profile that blends total participation with balance quality. Instead of plotting raw volume alone, it weights each price bin by:
how balanced buyers vs. sellers were,
how compressed price was inside that bin,
how often price revisited it.
The result spotlights fair value and acceptance zones while still revealing momentum/imbalance areas—ideal for reading rotation vs. trend, continuation vs. exhaustion, and the prices that truly matter.
Highlights
Balanced score that fuses delta symmetry, price compression, and hit frequency.
Optional heat spectrum for instant read of participation density and balance strength.
POC-like auto highlight of the dominant price level within the lookback window.
Works across timeframes for session profiling, swing context, or regime shifts.
█ How It Works
⚪ Profile Construction
The script scans a fixed History Length and divides the full high–low span into Bin Count price bins. For every bar in the window, its volume is proportionally distributed across the bins it overlaps, so wide-range bars contribute across multiple bins, while narrow bars concentrate where they traded most. This yields per-bin totals for:
Total Volume (participation)
Positive / Negative Volume (up vs. down bar contribution)
Hit Count (how often price touched the bin)
Average Price Range (mean bar range inside the bin; a proxy for compression)
⚪ Delta & Direction
For each bin, delta symmetry is measured via the ratio of |pos − neg| to total volume. Bins with balanced two-sided flow score higher than one-sided, runaway bins. This curbs the tendency of raw volume profiles to over-reward impulsive bursts.
⚪ Balance Score
Each price bin gets a balance score that multiplies three normalized components:
Delta Balance: rewards bins where buy/sell pressure is symmetrical (configurable via Volume Momentum Weight).
Price Compression: rewards bins where average bar range is relatively small (configurable via Price Momentum Weight).
Durability: rewards bins revisited often (configurable via Hits Weight).
A Min Hits Filter removes flimsy, single-touch bins from dominating the score. The profile can display pure totals or Average Mode (Vol/Hit) to compare bins fairly when hit counts differ.
⚪ Display & Heat Spectrum
The final plotted bar length per bin is the display volume (total or average) weighted by the balance score and normalized to 100.
POC-like Highlight: The 100% bin is outlined (and labeled) when Highlight Max Volume Bin is ON.
Heat Spectrum (optional): A background gradient scales with normalized bar length and balance hue.
Balance Hue: Interpolates between Balance Low/High Colors so high-balance bins visually pop as “accepted value.”
█ How to Use
The profile is effectively a map of price acceptance:
High, bright bars = strong participation at balanced prices → fair value/rotation zones.
Thin, muted bars = poor acceptance → imbalance or transition areas.
POC-style level = most influential price in the lookback window.
⚪ Find Fair Value & Acceptance
Thick, high-balance bins mark value. Expect rotation: price often revisits or oscillates around these areas. They’re prime zones for mean-reversion fades, scale-ins, and risk-defined trades against the edges.
⚪ Identify Imbalance & Funnels
Low-balance, low-hit bins often act like air pockets—price can move through them quickly. These zones are helpful for continuation trades into thin areas or for timing breakout pulls back into acceptance.
⚪ POC Dynamics
When price leaves the POC and returns, watch for re-acceptance (price comes back into the POC or high-balance zone and stays there.) vs. rejection (trend continuation away from value). The auto-highlight makes this quick to judge.
█ Settings
History Length – Bars scanned for the profile. Longer = broader context, slower to adapt.
Bin Count – Vertical resolution of bins between the window’s min and max price.
Display Shift – Offsets the rendering rightward for clarity.
Average Mode (Vol/Hit) – ON uses average volume per visit; OFF uses total volume.
Volume Momentum Weight – Emphasizes two-way flow; higher values favor balanced bins over one-sided deltas.
Price Momentum Weight – Emphasizes compression; higher values favor narrow-range, coiling price action.
Hits Weight – Rewards bins revisited often; higher values favor durable acceptance.
Min Hits Filter – Minimum visits a bin needs to qualify for the balance score.
Show Heat Spectrum – Background gradient for quick read of density and balance.
Highlight Max Volume Bin – Outline + raw volume label for the dominant bin.
Max Volume Color – Color used for that highlight.
Balance Low/High Colors – Gradient endpoints for balance hue across the profile.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Key Levels - PDL/PDH/POCs/VAHs/VALs - ArchReactorPrevious Day High/Low
Previous Day VPOC
Current Week Monday High/Low
Previous Week High/Low
Previous Week VPOC
Previous Month High/Low
Prior Week POC
Prior Month POC
Prior Day, Week and Months VAHs and VALs
Project Pegasus SideMap • VRP Heatmap • Volume Node DetectionDescription CME_MINI:NQ1!
Project Pegasus – Volume SideMap V 1.0 builds a right-anchored horizontal volume heatmap silhouette, visualizing buy/sell participation per price level over any chosen lookback or visible range. It automatically detects Low-Volume Nodes (LVN), Medium-Volume Nodes (MVN), and High-Volume Nodes (HVN), while also marking Top Volume Peaks, POI Lines (Most-Touched Levels), and complete Value Area Levels (POC / VAH / VAL) including optional session highs/lows.
What’s Unique
Right-Fixed Rendering – All profile rows are anchored to the chart’s right edge, creating a consistent visual reference during live trading.
Gap-Free Silhouette – Each price row blends seamlessly with its neighbors, producing a clean and continuous volume shape.
Triple-Tier Node Detection (LVN / MVN / HVN) – Automatically highlights zones of rejection, transition, and acceptance based on relative volume strength.
Dynamic Binning System – Adapts to price range and lookback while preserving proportional per-row volume distribution.
POI Finder (Most Touches) – Highlights price rows that have been touched most frequently by bars (traffic clusters).
Top-N Peaks – Sorts and draws the strongest single-price clusters by total volume while respecting minimum spacing.
Integrated Value Area Metrics – Calculates and plots POC, VAH, and VAL with optional session High/Low markers.
Color Modes – Choose between heatmap intensity (volume-based) or buy/sell ratio blending for directional context.
Performance Optimized – Rebuilds only when structure changes, ensuring smooth operation even with large histories.
Technical Overview
1. Binning & Aggregation
The full price range is divided into a user-defined number of rows (bins) of equal height.
For each bar, traded volume is distributed across all intersecting bins proportionally to price overlap.
A buy/sell proxy is estimated based on candle close position, producing per-row Buy, Sell, and Total Volume arrays.
2. Silhouette Rendering
Each row’s strength = total volume ÷ maximum volume.
Two color modes:
• Volume Mode → intensity scales by relative volume (heatmap).
• Ratio Mode → blend between sell and buy base colors based on dominance (close position).
Weak or neutral rows can be faded or forced to minimum width via strength and ratio-deviation filters.
3. Node Detection (LVN / MVN / HVN)
Relative bands are defined by lower/upper % thresholds.
Consecutive rows meeting criteria are grouped into “bands.”
Optional gap-merge unifies nearby bands separated by small gaps (in ticks).
Quality filters:
• Min. Average in Band (%) → enforces minimum average participation.
• Min. Prominence vs. Neighbors (%) → compares contrast against adjacent volume peaks.
Enforces minimum center distance (in ticks) to prevent overlap.
Each valid band draws a Top/Bottom line pair and optional mid-label (LVN/MVN/HVN).
4. Volume Peaks
Ranks all rows by total volume (descending) and selects top N peaks with spacing filters.
Drawn as horizontal lines or labeled markers (P1, P2, etc.).
5. POI Lines (Most Touches)
During aggregation, each row counts how many bars overlap it.
The top X rows with highest touch counts are drawn as POI lines—often strong participation or mean-retest zones.
6. Value Area (POC / VAH / VAL)
POC = row with highest total volume.
Expands outward symmetrically until the configured Value Area % of total volume is covered.
VAH and VAL mark the acceptance range; optional High/Low lines outline total range boundaries.
7. Right-Fix Layout
All components are rendered relative to the chart’s rightmost bar.
Width dynamically scales with visible bars × % width setting, ensuring proportional scaling across zoom levels.
How to Use
Read market structure:
HVNs = high acceptance or balance areas → likely mean-reversion zones.
LVNs = thin participation → breakout or rejection points (“air pockets”).
MVNs = transition areas between acceptance and rejection.
Trade around POC / VAH / VAL:
These levels represent fair-value boundaries and rotational pivots.
POI & Peaks:
Use them as strong reference lines for responsive trading decisions.
Ratio-Color Mode:
Exposes directional imbalance and potential absorption zones visually.
Best practice:
Live trading → right-fix active, moderate row count.
Post-session analysis → higher granularity, LVN/HVN/MVN and peaks enabled with labels.
Key Settings
Core
Lookback length or visible-range mode
Row count (granularity)
Profile width (% of visible bars)
Right offset, minimum box width, transparency
Date Filter
Aggregate only bars from a defined start date onward.
Coloring
Buy/Sell ratio mode toggle
Base colors for buy and sell volume
Filters
Minimum ratio deviation (±) → ignore nearly balanced rows
Minimum volume strength (%) → fade weak rows
LVN / MVN / HVN Detection
Independent enable toggles
Lower/upper % thresholds
Minimum band height (rows)
Merge small gaps (ticks)
Minimum average in band (%)
Minimum prominence vs. neighbors (%)
Minimum distance between bands (ticks)
Line color, width, style, and label options
Peaks
Number of peaks (0–20)
Minimum distance between peaks (ticks)
Color, width, style, label placement
POI Lines
Enable toggle
POI count (1–5)
Minimum gap between POIs (rows)
Color, width, style, label offset
Value Levels (POC / VAH / VAL)
Show/hide Value Area Levels
Value Area % coverage
POC / VAH / VAL line styles, widths, colors
Optional Session High/Low lines
Notes & Limitations
Optimized for intraday and swing data; accuracy depends on chart volume granularity.
Large lookbacks with high row counts and all detection layers enabled may impact performance—adjust parameters for balance.
Buy/Sell ratio is a visual approximation based on candle structure, not actual order-book delta.
Designed as a contextual visualization tool, not a trade signal generator.
Disclaimer
For educational and informational purposes only.
Not financial advice.
Anchored Session Volume Profile • Heatmap Profiles • Asia/EU/US Description
This indicator builds Anchored Session Volume Profiles for Asia, EU, and US sessions on intraday charts and renders them as right-docked line histograms (heatmap or classic style). Each session computes its own POC, VAH, VAL and optional Session High/Low lines. An optional per-price-bin Delta overlay estimates buy/sell pressure inside the profile rows for quick order-flow context.
What’s unique
Three independent session anchors (Asia/EU/US) with custom start/end times, bin size in ticks, and Value Area %.
Right-fixed live rendering or post-close persistence (draw levels only after the session closes).
Adaptive width: profile width scales with elapsed session length (anchor → now/end) within user limits.
Heatmap profile: row tint scales by relative volume; or Classic single-color with optional gradient.
Per-row Delta ticks (outside/inside, configurable direction) derived from bar delta and overlap with each price bin.
Clean POC/VAH/VAL line styling, optional ray extension, and Session High/Low rays per session.
How it works (technical)
Binning: Rows are built with a user-defined bin height in ticks. Arrays expand/shrink as price extends; the base is shifted when new lows appear to keep bins aligned.
Accumulation: For each bar within the active session window, traded volume is distributed to intersecting bins proportionally to the price overlap with that bin.
Value Area: POC is the highest-volume bin. VA is grown symmetrically around the POC until the selected coverage (VA%) is reached.
Delta per bin (optional): A bar-level delta proxy volume * (close − open) / range (clamped) is split into buy/sell and allocated to bins proportionally to the same overlap share, producing a per-row delta magnitude for rendering ticks.
Rendering modes:
Right fixed: refreshes each bar; lines/histogram are docked at the anchor X-position.
Draw Levels after Session Close: on close, only POC/VAH/VAL (and optional Session High/Low) are persisted.
No lookahead: All computations use confirmed bars; levels are deterministic on close.
How to use
Use the Asia/EU/US profiles to read participation hand-offs and session-driven rotations.
Trade off POC/VAH/VAL as acceptance/rejection references; confluence with session High/Low often marks responsive flows.
Employ Delta ticks per row to spot absorption, one-sided stacking, or fading participation inside the profile without leaving TradingView.
Prefer right-fixed during live trading and post-close when you want persistent session levels.
Key settings
General per session: Start/End (hh:mm), Bin size (ticks), Value Area %, toggle POC/VAH/VAL lines.
Rendering: Heatmap vs. Classic, orientation (Left/Right), gradient on/off, row thickness, right offset, adaptive width limits.
Delta (per price bin): global on/off, per-session on/off, tick width, max tick length (bars), outside/inside placement, direction (sign-based / always left / always right), colors.
Levels: POC/VAH/VAL styles (solid/dashed/dotted), widths, colors, extend right (ray).
Session High/Low: per-session on/off, style, width, colors, optional right-ray extension.
Notes & limitations
Designed for intraday data; accuracy depends on the feed’s volume granularity.
Large histories + small bins + delta ticks can be heavy; tune bin size, adaptive width, and delta max length for performance.
Timezone for anchors is set internally to Europe/Berlin.
Educational tool — not a signal generator.
Disclaimer
For educational and informational purposes only. Not financial advice.
Fixed-Range Volume-Profile ZonesFixed Range Volume Profile Zones (with Dynamic Percentile Buffers)
This indicator calculates a fixed‑range volume profile over a user‑defined lookback period and identifies three key zones:
– VAL (Value Area Low)
– POC (Point of Control)
– VAH (Value Area High)
Volume is grouped into user‑selected price bins to create a profile of where the most trading activity occurred.
The script then splits the distribution into three zones and highlights the extremes (VAL/VAH) and the highest‑volume price (POC).
Dynamic Percentile Buffers
Instead of static offsets, this version computes the 10th and 90th percentile prices (user‑adjustable) of recent closes over the same lookback window.
These percentiles are used to create adaptive buffers above VAH and below VAL.
The buffers automatically expand or contract with market volatility and recent price distribution, filtering out weak or noisy touches.
Visual Elements:
– Green/orange/red horizontal lines = VAL / VAH / POC
– Green shading below VAL = buy zone
– Red shading above VAH = sell zone
– Down arrows above bars = closes above VAH + buffer
– Up arrows below bars = closes below VAL – buffer
Inputs:
– Lookback Days: number of bars used to build the profile
– Number of Bins: controls resolution of the volume profile
– VAH Percentile and VAL Percentile: choose which percentile levels to use for dynamic buffers
Use Cases:
– Quickly identify areas of high participation (POC) and potential support/resistance (VAL/VAH)
– Filter out weak breakouts using dynamic buffers
– Combine with other signals to improve entries/exits
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Past performance or historical data does not guarantee future results.
Always perform your own analysis and use risk management when trading.
Volume Profile 3D (Zeiierman)█ Overview
Volume Profile 3D (Zeiierman) is a next-generation volume profile that renders market participation as a 3D-style profile directly on your chart. Instead of flat histograms, you get a depth-aware profile with parallax, gradient transparency, and bull/bear separation, so you can see where liquidity stacked up and how it shifted during the move.
Highlights:
3D visual effect with perspective and depth shading for clarity.
Bull/Bear separation to see whether up bars or down bars created the volume.
Flexible colors and gradients that highlight where the most significant trading activity took place.
This is a state-of-the-art volume profile — visually powerful, highly flexible, and unlike anything else available.
█ How It Works
⚪ Profile Construction
The price range (from highest to lowest) is divided into a number of levels (buckets). Each bar’s volume is added to the correct level, based on its average price. This builds a map of where trading volume was concentrated.
You can choose to:
Aggregate all volume at each level, or
Split bullish vs. bearish volume , slightly offset for clarity.
This creates a clear view of which price zones matter most to the market.
⚪ 3D Effect Creation
The unique part of this indicator is how the 3D projection is built. Each volume block’s width is scaled to its relative size, then tilted with a slope factor to create a depth effect.
maxVol = bins.bu.max() + bins.be.max()
width = math.max(1, math.floor(bucketVol / maxVol * ((bar_index - start) * mult)))
slope = -(step * dev) / ((bar_index - start) * (mult/2))
factor = math.pow(math.min(1.0, math.abs(slope) / step), .5)
width → determines how far the volume extends, based on relative strength.
slope → creates the angled projection for the 3D look.
factor → adjusts perspective to make deeper areas shrink naturally.
The result is a 3D-style volume profile where large areas pop forward and smaller areas fade back, giving you immediate visual context.
█ How to Use
⚪ Support & Resistance Zones (HVNs and Value Area)
Regions where a lot of volume traded tend to act like walls:
If price approaches a high-volume area from above, it may act as support.
From below, it may act as resistance.
Traders often enter or exit near these zones because they represent strong agreement among market participants.
⚪ POC Rejections & Mean Reversions
The Point of Control (POC) is the single price level with the highest volume in the profile.
When price returns to the POC and rejects it, that’s often a signal for reversal trades.
In ranging markets, price may bounce between edges of the Value Area and revert to POC.
⚪ Breakouts via Low-Volume Zones (LVNs)
Low volume areas (gaps in the profile) offer path of least resistance:
Price often moves quickly through these thin zones when momentum builds.
Use them to spot breakouts or continuation trades.
⚪ Directional Insight
Use the bull/bear separation to see whether buyers or sellers dominated at key levels.
█ Settings
Use Active Chart – Profile updates with visible candles.
Custom Period – Fixed number of bars.
Up/Down – Adjust tilt for the 3D angle.
Left/Right – Scale width of the profile.
Aggregated – Merge bull/bear volume.
Bull/Bear Shift – Separate bullish and bearish volume.
Buckets – Number of price levels.
Choose from templates or set custom colors.
POC Gradient option makes high volume bolder, low volume lighter.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Quadro Volume Profile [BigBeluga]🔵 OVERVIEW
The Quadro Volume Profile is a precision-engineered volume profiling tool that segments market activity into four distinct quadrants surrounding the current price. By separating bullish and bearish volume above and below the current price, it helps traders identify dominant forces and high-interest price zones with ease. Each quadrant includes label annotations showing total volume and its share of overall activity — delivering powerful insights into the market’s internal structure.
🔵 CONCEPTS
Four-Quadrant Volume Distribution : Volume is separated into Buy and Sell profiles both above and below the current price.
Directional Volume Logic : Bullish and bearish candle volume is allocated to specific bins, creating color-coded volume stacks.
Dynamic PoC Detection : Point of Control (PoC) levels are calculated per quadrant and optionally displayed.
Lookback-Based Anchoring : The volume histogram is anchored to a fixed lookback window, ensuring consistency and historical context.
Label-Based Analytics : Each quadrant displays a labeled breakdown of direction, total volume, and percentage weight of total activity.
🔵 FEATURES
Four separate volume profiles:
Upper Left: Bearish volume (Sell Quad above price)
Upper Right: Bullish volume (Buy Quad above price)
Lower Left: Bullish volume (Buy Quad below price)
Lower Right: Bearish volume (Sell Quad below price)
Live Labels for Each Quad:
Displays BUY or SELL direction
Shows total volume per quadrant (e.g. 607.49K)
Displays percent share of total quad volume (e.g. 18.87%)
Toggle visibility for each profile and each Point of Control (PoC) dashed PoC lines with volume annotations
Adjustable calculation period (lookBack), number of bins, and horizontal offset
Color gradient intensity represents volume strength per bin
Auto-cleaning visuals to keep the chart uncluttered
Gradient color control for Buy and Sell volumes
Clean midline split between upper and lower quadrants
🔵 HOW TO USE
Select your desired calculation period (default: 200 bars) to define the range for volume analysis.
Adjust the bins parameter for more or less resolution in volume distribution.
Toggle each quadrant on/off depending on your preference using the settings panel:
“Upper Sell Quad” – shows bearish volume above current price (left)
“Upper Buy Quad” – shows bullish volume above current price (right)
“Lower Buy Quad” – shows bullish volume below current price (left)
“Lower Sell Quad” – shows bearish volume below current price (right)
Enable or disable PoC lines for each quad to highlight where volume peaked.
Use the gradient coloring to identify volume imbalances — sharp differences between opposing quads often indicate key zones of rejection or breakout.
Monitor the midline level which splits the four quadrants — it serves as a psychological pivot zone.
🔵 CONCLUSION
The Quadro Volume Profile offers a powerful and visually intuitive way to dissect market activity around price. By splitting volume into four quadrants, traders can better interpret order flow, identify dominant volume zones, and spot potential reversals or continuation setups. Whether you're trading breakouts, liquidity sweeps, or range-bound behavior — this tool adds a structured layer of volume context to your charting workflow.
Phantom Trend IndicatorOverview
The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe.
Features:
Trend Detection: Uses zigzag fractals to identify uptrends and downtrends.
Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray).
Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile.
Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones.
Alerts: Signals new trends.
How It Works:
Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme).
Histogram: Shows price deviation from POC.
Background: Colors extreme zones outside VAL/VAH.
This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliably—making PTI a valuable, standalone addition for both novice and experienced users.
Settings
Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions.
Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width.
Visuals: Customize POC, VAL, VAH, and area fill colors.
Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation.
Background: Monitor for overbought/oversold color-coded signals.
Tune: Adjust zigzag or period settings for your timeframe/asset.
Tips
Shorten period for intraday, extend for swing trading.
Pair with other indicators for confirmation.
Notes:
Requires sufficient chart data for volume profile.
Test settings for low-volatility assets.
For informational use only, not financial advice. Test thoroughly, and happy trading!
Liquidity Pro Map [ChartPrime]⯁ OVERVIEW
Liquidity Pro Map is a market-structure tool that simulates liquidity distribution by splitting price history into buy-side and sell-side profiles. Using candle volume and the standard deviation of close, the indicator builds two mirrored volume maps on the right-hand side of the chart. It also extends liquidity levels backwards in time until they are crossed by price, allowing you to see which zones remain untouched and where liquidity is most likely resting. Cumulative skew lines and highlighted POC levels give additional clarity on imbalance between buyers and sellers.
⯁ KEY FEATURES
Dual Liquidity Profiles: The chart is divided into buy-side (green) and sell-side (red) liquidity profiles, letting you instantly compare both sides of order flow.
Level Extension Logic: Each liquidity level is extended back in time until price crosses it. If not crossed, it persists all the way to the indicator’s lookback period, marking zones that remain “untapped.”
Dynamic Binning with Standard Deviation: The indicator distributes candle volumes into bins using close-price deviation, creating a more realistic liquidity map than static price levels.
priceDeviation = ta.stdev(close, 25) * 2
priceReference = close > open ? low - priceDeviation : high + priceDeviation
Cumulative Volume Skew Lines: Polylines on the right-hand side show the aggregated buy and sell volume profiles, making it easy to spot imbalance.
POC Identification: Highest-volume levels on both sides are marked as POC (Point of Control) , providing key zones of interest.
Clear Color Coding: Gradient shading intensifies with volume concentration—dark teal/green for buy zones, dark pink/red for sell zones.
⯁ HOW IT WORKS (UNDER THE HOOD)
Volume Distribution: Each bar’s volume is assigned to a price bin based on its reference price (close ± standard deviation offset).
Buy vs. Sell Splitting: If bins above last close price, volume is allocated to sell-side liquidity; otherwise, it’s allocated to buy-side liquidity.
Level Extension: Boxes marking liquidity bins extend back until crossed by price. If uncrossed, they anchor all the way to the start of the lookback window.
Cumulative Polylines: As bins are stacked, cumulative buy and sell values form skew polylines plotted at the right edge.
POC Levels: The highest-volume bin on each side is highlighted with labels and arrows, marking where the heaviest liquidity is concentrated.
⯁ USAGE
Use buy/sell profiles to see where liquidity is likely resting. Green shelves suggest potential support zones; red shelves suggest resistance or sell liquidity pools.
Watch untouched extended levels —these often become magnets for price as liquidity is swept.
Track POC levels as primary liquidity targets, where reactions or fakeouts are most common.
Compare cumulative skew lines to judge which side dominates in volume. Heavy buy skew may indicate absorption of sell pressure, and vice versa.
Adjust lookback period to switch between intraday liquidity maps and larger swing-based profiles.
Use separator feature to hide bins borders for better visual clarity.
Use as a confluence tool with OBs, support/resistance, and liquidity sweep setups.
⯁ CONCLUSION
Liquidity Pro Map transforms candle volume into a structured simulation of where liquidity may rest across the chart. By dividing buy vs. sell profiles, extending untouched levels, and marking cumulative skew and POC, it equips traders with a clear visual map of potential liquidity pools. This allows for better anticipation of sweeps, reversals, and areas of high market activity.
TPO Levels [VAH/POC/VAL] with Poor H/L, Single Prints & NPOCs### 🎯 Advanced Market Profile & Key Level Analysis
This script is a unique and comprehensive technical analysis tool designed to help traders understand market structure, value, and key liquidity levels using the principles of **Auction Market Theory** and **Market Profile**.
This script is unique (and shouldn't be censored) because :
It allows large history of levels to be displayed
Accurate as possible tick size
Doesn't draw a profile but only the actual levels
Supports multi-timeframe levels even on the daily mode giving macro context
There is no indicator out there that does it
While these concepts are universal, this indicator was built primarily for the dynamic, 24/7 nature of the **cryptocurrency market**. It helps you move beyond simple price action to understand *why* the market is moving, which is especially crucial in the volatile crypto space.
### ## 📊 The Concepts Behind the Calculations
To use this script effectively, it's important to understand the core concepts it is built upon. The entire script is self-contained and does not require other indicators.
* **What is Market Profile?**
Market Profile is a unique charting technique that organizes price and time data to reveal market structure. It's built from **Time Price Opportunities (TPOs)**, which are 30-minute periods of market activity. By stacking these TPOs, the script builds a distribution, showing which price levels were most accepted (heavily traded) and which were rejected (lightly traded) during a session.
* **What is the Value Area (VA)?**
The Value Area is the heart of the profile. It represents the price range where **70%** of the session's trading volume occurred. This is considered the "fair value" zone where both buyers and sellers were in general agreement.
* **Point of Control (POC):** The single price level with the most TPOs. This was the most accepted or "fairest" price of the session and acts as a gravitational line for price.
* **Value Area High (VAH):** The upper boundary of the 70% value zone.
* **Value Area Low (VAL):** The lower boundary of the 70% value zone.
VAH and VAL are dynamic support and resistance levels. Trading outside the previous session's value area can signal the start of a new trend.
***
### ## 📈 Key Features Explained
This script automatically calculates and displays the following critical market-generated information:
* **Multi-Timeframe Market Profile**
Automatically draws Daily, Weekly, and Monthly profiles, allowing you to analyze market structure across different time horizons. The script preserves up to 20 historical sessions to provide deep market context.
* **Naked Point of Control (nPOC)**
A "Naked" POC is a Point of Control from a previous session that has **not** been revisited by price. These levels often act as powerful magnets for price, representing areas of unfinished business that the market may seek to retest. The script tracks and displays Daily, Weekly, and Monthly nPOCs until they are touched.
* **Single Prints (Imbalance Zones)**
A Single Print is a price level where only one TPO traded during the session's development. This signifies a rapid, aggressive price move and an imbalanced market. These areas, like gaps in a traditional chart, are frequently revisited as the market seeks to "fill in" these thin parts of the profile.
* **Poor Structure (Unfinished Auctions)**
A **Poor High** or **Poor Low** occurs when the top or bottom of a profile is flat, with two or more TPOs at the extreme price. This suggests that the auction in that direction was weak and inconclusive. These weak structures often signal a high probability that price will eventually break that high or low.
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### ## 💡 How to Use This Indicator
This tool is not a signal generator but an analytical framework to improve your trading decisions.
1. **Determine Market Context:** Start by asking: Is the current price trading *inside* or *outside* the previous session's Value Area?
* **Inside VA:** The market is in a state of balance or range-bound. Look for trades between the VAH and VAL.
* **Outside VA:** The market is in a state of imbalance and may be starting a trend. Look for continuation or acceptance of prices outside the prior value.
2. **Identify Key Levels:**
* Use historical **nPOCs** as potential profit targets or areas to watch for a price reaction.
* Treat historical **VAH** and **VAL** levels as significant support and resistance zones.
* Note where **Single Prints** are. These are often price magnets that may get "filled" in the future.
3. **Spot Weakness:**
* A **Poor High** suggests weak resistance that may be easily broken.
* A **Poor Low** suggests weak support, signaling a potential for a continued move lower if broken.
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### ## ⚙️ Customization & Crypto Presets
The indicator is highly customizable, allowing you to change colors, transparency, the number of historical sessions, and more.
To help traders get started quickly, the indicator includes **built-in layout presets** specifically calibrated for major cryptocurrencies: ** BINANCE:BTCUSDT.P , BINANCE:ETHUSDT.P , and BINANCE:SOLUSDT.P **. These presets automatically adjust key visual parameters to better suit the unique price characteristics and volatility of each asset, providing an optimized view right out of the box.
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### ## ⚠️ Disclaimer
This indicator is a tool for market analysis and should not be interpreted as direct buy or sell signals. It provides information based on historical price action, which does not guarantee future results. Trading involves significant risk, and you should always use proper risk management. This script is designed for use on standard chart types (e.g., Candlesticks, Bar) and may produce misleading information on non-standard charts.
