Volume Profile - BearJust another Volume Profile but you can fit into your chart better by moving back and forth horizontally. also note you can fix the number of bars to show the volume by that way you can use a fib retracment to line up high/low volume nodes with fib levels... see where price as bad structure. or just play with the colors to make a cool gradient?
Volume Profile is a technical analysis tool used by traders to analyze the distribution of trading volume at different price levels within a specified time frame. It helps traders identify key support and resistance levels, potential areas of price reversals, and areas of high trading interest. Here's how to read Volume Profile on a trading chart:
1. **Choose a Time Frame**: Decide on the time frame you want to analyze. Volume Profile can be applied to various time frames, such as daily, hourly, or even minute charts. The choice depends on your trading style and goals.
2. **Plot the Volume Profile**: Once you have your chart open, add the Volume Profile indicator. Most trading platforms offer this tool. It typically appears as a histogram or a series of horizontal bars alongside the price chart.
3. **Identify Key Elements**:
a. **Value Area**: The Value Area represents the price range where the majority of trading volume occurred. It is often divided into three parts: the Point of Control (POC) and the upper and lower value areas. The POC is the price level where the most trading activity occurred and is considered a significant support or resistance level.
b. **High-Volume Nodes**: High-volume nodes are price levels where there was a significant amount of trading volume. These nodes can act as support or resistance levels because they represent areas where many traders had their positions.
c. **Low-Volume Areas**: Conversely, low-volume areas are price levels with little trading activity. These areas may not provide strong support or resistance because they lack significant trader interest.
4. **Interpretation**:
- If the price is trading above the POC and the upper value area, it suggests bullish sentiment, and these levels may act as support.
- If the price is trading below the POC and the lower value area, it suggests bearish sentiment, and these levels may act as resistance.
- High-volume nodes can also act as support or resistance, depending on the price's current position relative to them.
5. **Confirmation**: Volume Profile should be used in conjunction with other technical analysis tools and indicators to confirm trading decisions. Consider using trendlines, moving averages, or other price patterns to validate your trading strategy.
6. **Adjust for Different Time Frames**: Keep in mind that Volume Profile analysis can yield different results on different time frames. For example, a support level on a daily chart may not hold on a shorter time frame due to intraday volatility.
7. **Practice and Experience**: Like any trading tool, reading Volume Profile requires practice and experience. Analyze historical charts, paper trade, and refine your strategies over time to gain proficiency.
8. **Stay Informed**: Stay updated with market news and events that can impact trading volume. Sudden news can change the significance of volume levels.
Search in scripts for "poc"
RSI ProfileThis indicator shows the RSI profile from historical RSI Value and High / Low RSI Pivots.
It is inspired by the Volume Profile which is a common charting study that indicates activity at specified levels. It plots a histogram on the chart meant to identify dominant/significant levels.
This script is profiling RSI levels into a histogram, which can identify the crucial RSI values in the chart. Along with the pivot options that can help identify the dominant pivot points where RSI values had been rebounding historically.
How to use:
There are three profile types available in the settings. When selecting RSI Values, the indicator will count RSI values from history, and plot the count in a histogram at the end of the chart. If you select RSI Pivots High or RSI Pivots Low, the indicator will count only the RSI Pivot Highs and Lows and plot the count in a histogram. Users can select the Pivot Left/Right length from the settings.
Users can extend the POC line to the left, to study how the values had been reacting to POC
Please note: Since the RSi values range from 0 to 100, the indicator is rounding off the values to absolute numbers. This can cause a situation where multiple POC are identified, to find the unique POC, you can increase the width of the histogram.
The Max/Min RSI settings are for visual purposes only, it can help users shrink down the histogram's top and bottom visibility
[ggarritano] MTF Zones + Context Table + POC.This indicator maps Premium, Equilibrium and Discount zones across up to 8 configurable timeframes, based on the most recent swing range (pivot high/low) and extends the zones forward in real time. It also includes a Context Table that summarizes, per timeframe:
Current Zone (Premium / Equilibrium / Discount + mid areas)
% Position inside the swing range (-100 to +100)
Context (Discount / Neutral / Premium) derived from the % value
Distance to the nearest pivot (Stop (pts))
Distance to the next relevant zone (Target (pts))
Additionally, the script can plot:
Previous period levels: PDH/PDL, PWH/PWL, PMH/PML
Pivot POC (Approx.) per timeframe (optional and independent from zone plotting)
⚠️ POC note: Pine Script does not provide true volume-at-price data. The “Pivot POC” here is an approximation built by accumulating candle volume into price bins inside the active pivot range (HLC3 mode is lighter; Spread mode is more profile-like but heavier).
Use the timeframe toggles to control what you plot and what appears in the table, and adjust Pivot Length + Neutral Band to fit your market and style.
EduVest - IFA-VP Context v3.0 [NEON Edition]📊 IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
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🎯 WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
• Volume Profile (POC, VAH, VAL)
• SMA Alignment (20/50/200)
• Context Score (0-100)
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⚡ KEY FEATURES
🔹 NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
🔹 Context Score - Visual score bar (████████░░) shows market strength
🔹 Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
🔹 POC Reaction - Track price interaction with Point of Control
🔹 Status Panel - All-in-one dashboard with trend, zone, and hints
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📺 THREE DISPLAY MODES
• Impact Mode - Full visual experience with badges, ribbons, and glow effects
• Minimal Mode - Clean SMA lines and VP levels only
• Pro Mode - Complete VP histogram display
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📈 SIGNALS EXPLAINED
▲ GOLDEN CROSS (20×50) - Short-term bullish momentum
▼ DEATH CROSS (20×50) - Short-term bearish momentum
⭐ MAJOR GOLDEN (50×200) - Long-term bull market signal
💥 MAJOR DEATH (50×200) - Long-term bear market signal
Context Badges:
⚡ SUPER BUY/SELL (Score 80+)
🔥 POWER BUY/SELL (Score 70-79)
💪 STRONG BUY/SELL (Score 60-69)
⏸ WAIT (Score <50)
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⏰ RECOMMENDED TIMEFRAMES
✅ 15min - 4H (Best for day trading & swing)
⚠️ 1min-5min (Noisy, use with caution)
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⚠️ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
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🏷️ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
Smart Fixed Volume Profile [MarkitTick]💡 This comprehensive analysis suite integrates Auction Market Theory, structural gap analysis, and statistical liquidity strain modeling into a single, cohesive toolkit. Designed for traders who require a granular view of institutional order flow, this indicator overlays a Fixed Range Volume Profile with intelligent price gap classification and a volatility-adjusted exhaustion detector. By combining these three distinct analytical dimensions, it allows users to identify value consensus, structural breakouts, and potential market turns driven by liquidity shortages.
✨ Originality and Utility
While standard Volume Profiles display where trading occurred, this script advances the concept by contextually analyzing *how* price arrived at those levels. It solves the problem of isolated analysis by fusing three disparate methodologies:
Contextual Integration: It does not merely show support and resistance; it qualifies moves using "Smart Gaps" (classifying gaps based on market structure) and "Liquidity Strain" (identifying unsustainable price velocity).
Institutional Footprint: The inclusion of an "Unusual Volume" highlighter within the profile bars helps traders spot hidden institutional accumulation or distribution blocks that standard profiles miss.
Hybrid Logic: By combining a fixed-time profile (anchored to specific dates) with dynamic, developing gap analysis, it provides both a static roadmap of the past and a dynamic interpretation of current price action.
🔬 Methodology and Concepts
• Fixed Volume Profile Engine
The core of the indicator constructs a volume distribution histogram over a user-defined time window. It utilizes a custom aggregation engine that:
Fetches higher-timeframe volume and price data to ensure accuracy.
Segments the price range into specific "bins" or rows.
Allocates volume to these bins based on price action within the bar, separating Buying Volume (Up bars) from Selling Volume (Down bars).
Calculates the Point of Control (POC) —the price level with the highest traded volume—and the Value Area , which contains 70% (customizable) of the total volume centered around the POC.
• Smart Gap Logic
The script systematically identifies price gaps and classifies them based on their location relative to market pivots (Highs/Lows):
Breakaway Gaps: Occur when price gaps beyond a significant structural pivot (Lookback High/Low), signaling a potential trend initiation.
Runaway Gaps: Occur within an existing trend without breaking structure, indicating trend continuation.
Exhaustion Gaps: Identified when a gap occurs late in a mature trend (measured by bar count since the last pivot) accompanied by a volume spike, suggesting the trend is overextended.
• Liquidity Strain Detector
This module utilizes a statistical approach to measure market stress. It calculates "Illiquidity" by analyzing the ratio of True Range to Volume (Price Impact).
It applies a Logarithmic transformation to normalize the data.
It calculates a Z-Score (Standard Deviation from the mean) of this impact.
If the Z-Score exceeds a threshold (e.g., 2.0 Sigma) while the trend opposes the price move, it triggers an exhaustion signal, indicating that price is moving too easily on too little volume (thin liquidity).
🎨 Visual Guide
• Volume Profile Elements
Histogram Bars: Horizontal bars representing volume at price. Cyan indicates bullish volume; Red indicates bearish volume.
Unusual Volume Highlight: Bars with volume exceeding the average by a set factor (default 2x) are highlighted with brighter, distinct overlays to denote institutional interest.
POC Line: A solid Yellow line marking the price level with the highest volume.
VAH / VAL Lines: Dashed Blue lines marking the Value Area High and Value Area Low.
Background Box: A grey shaded area encapsulating the entire time and price range of the profile.
• Smart Gap Boxes
Blue Box (Breakaway): Marks the start of a new structural move.
Orange Box (Runaway): Marks continuation gaps in the middle of a trend.
Red Box (Exhaustion): Marks potential trend termination points.
Dotted Lines: Extend from the center of gap boxes to serve as future support/resistance levels. These boxes are automatically deleted if price "fills" or violates the gap level.
Note: This tool incorporates core components from [ Smart Gap Concepts ], optimized for this specific strategy.
• Liquidity Signals
Green Label (SE): "Seller Exhaustion" – Appears below bars in a downtrend when selling pressure is statistically overextended.
Red Label (BE): "Buyer Exhaustion" – Appears above bars in an uptrend when buying pressure is statistically overextended.
Note: This tool incorporates core components from [ Liquidity Strain Detector ], optimized for this specific strategy.
📖 How to Use
• Interactive Range Selection: This indicator features a flexible, interactive input system. Upon adding the script to your chart, execution is paused until the analysis range is defined. You will be prompted to click on the chart twice: first to establish the Start Date and second to establish the End Date. Once these anchor points are confirmed, the indicator will automatically load the data and generate the profile for the selected specific period.
● Strategies for Optimal Anchoring
the optimal starting and ending points for high-probability setups:
Swing Highs and Lows (Trend Analysis):
Anchor the Start Date at a major structural swing high or low and the End Date at the current price using the Extend to Present feature. This identifies the "Fair Value" for the entire price move .
Consolidation/Range Anchoring:
Set the Start Date at the first bar of a sideways range and the End Date at the breakout candle. This reveals the high-node volume clusters that will act as future support or resistance.
Session-Based Anchoring (Intraday):
Align the Start Date with the session open (e.g., London or New York open) to track institutional flow for that specific day .
Event-Driven Anchoring:
Place the Start Date on a significant news event or a Breakaway Gap identified by the script's Gap Engine. This helps determine if the new volume supports the direction of the gap.
Correction Cycles:
During a pullback, anchor the Start Date at the start of the correction to find the Value Area Low (VAL), which often serves as a tactical entry point for a trend continuation.
• Identifying Value:
Use the Value Area to gauge market consensus. Acceptance of price within the VA indicates balance. A breakout above VAH or below VAL suggests the market is searching for new value. The POC often acts as a magnet for price correction.
• Trading Breakouts:
Watch for Breakaway Gaps (Blue) that align with a move out of the Volume Profile's Value Area. This confluence increases the probability of a sustained trend.
• Spotting Reversals:
Combine Exhaustion Gaps (Red) with Liquidity Strain Signals (SE/BE) . If price gaps up into a low-volume node on the profile and prints a "Buyer Exhaustion" signal, it suggests the move is unsupported by liquidity and liable to reverse.
• Support and Resistance:
The extended dotted lines from the Smart Gap boxes act as dynamic support/resistance. A retest of a "Runaway Gap" is often a viable entry point for trend continuation.
⚙️ Inputs and Settings
• Global Profile:
Start/End Date: Define the exact window for the volume profile calculation.
Extend to Present: If checked, the profile updates with live data beyond the end date.
• Profile Settings:
Number of Rows: Determines the vertical resolution (granularity) of the histogram.
Value Area %: Default is 70%, representing one standard deviation of volume distribution.
Placement: Position the profile on the Left or Right of the defined range.
• Liquidity & Gaps:
Unusual Threshold: Multiplier of average volume to highlight institutional bars (default 2.0x).
Structure Lookback: Adjusts the sensitivity of pivot detection for gap classification.
Stress Threshold (Sigma): The Z-Score limit for triggering Liquidity Strain signals (default 2.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Auction Market Theory (AMT):
The script is grounded in AMT, which posits that the market's primary function is to facilitate trade. The Volume Profile visualizes this by displaying a bell curve of price distribution. The Value Area (typically 70%) corresponds to the First Standard Deviation in a normal Gaussian distribution, representing the area of "Fair Value" where buyers and sellers agree.
• Market Microstructure & Kyle’s Lambda:
The Liquidity Strain module draws conceptually from Kyle’s Lambda, a metric in market microstructure that measures market depth and price impact (Illiquidity). By calculating the ratio of price change (True Range) to Volume, the script approximates the "cost" of moving the market.
• Statistical Z-Score Normalization:
To make the liquidity data actionable, the script applies Z-Score normalization: Z = (X - μ) / σ . This converts raw illiquidity values into standard deviations from the mean. A Z-Score above +2.0 signifies a statistically significant anomaly—an outlier event where price moved excessively relative to the volume traded, often preceding a mean-reversion event.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Auction Context Engine ( Value Area, VWAP & Regime)📌 Indicator Name
Auction Context Engine (Value Area, VWAP & Regime)
Short name: ACE Context
🧠 Description
Auction Context Engine (ACE) is a professional market context and structure indicator based on Auction Market Theory.It is designed to help traders understand where the market is positioned, not to generate trade signals.
ACE focuses on:
• Developing Value Area (VAH / VAL)
• Developing Point of Control (POC)
• Session VWAP positioning
• Volatility regime expansion
• Opening Range context
• Failed auction / trap detection
• Market bias and environment quality
This indicator provides context only and is intended to be used alongside a separate execution strategy or system.
🎯 What This Indicator Is
✔ A context engine
✔ A market structure filter
✔ A bias alignment tool
✔ A regime and environment classifier
❌ What This Indicator Is NOT
✘ Not a signal generator
✘ Not a buy/sell system
✘ Not a strategy
✘ Not a profitability promise
📊 How To Use
Use ACE to answer:
• Is price accepting or rejecting value?
• Is the market in balance or expansion?
• Is VWAP supporting or opposing price?
• Is this a breakout environment or a trap?
• Is volatility expanding?
• Is the market trending or ranging?
You may then use your own execution strategy aligned with this context.
🟢 Core Components
Developing Value Area
• VAH / VAL dynamically update through the session
• POC tracks highest traded volume area
VWAP Position
• Above VWAP = bullish bias
• Below VWAP = bearish bias
Opening Range Context
• Detects breakouts or balance after session open
Volatility Regime
• Identifies expansion vs normal conditions
Failed Auction Detection
• Highlights trap conditions near value extremes
Market Quality
• Strong / Mixed / Weak environment classification
Context Table
• Clean 1-column vertical dashboard with color-coded bias
🔵 Visual Elements
• Developing VAH, VAL, POC lines
• Session VWAP
• Small context dots when environment turns READY
• Compact professional context table
⚙️ Settings
• Value Area bin size
• Value area percentage
• Opening range duration
• Regime expansion factor
• Line colors and thickness
• Context table ON/OFF
• Context dots ON/OFF
🧩 Best Use Case
This indicator is ideal for:
• Intraday trading
• Index futures and equities
• Options context filtering
• Trend / range regime identification
• Professional discretionary traders
⚠️ Disclaimer
This script is provided for educational and informational purposes only.It does not constitute financial or investment advice.Trading involves risk. Always use proper risk management.
Dynamic Supports + Volume Profile (Smart Time Selector)This indicator is an "All-in-One" tool designed to simplify Market Structure and Volume analysis on higher timeframes (especially Daily charts).
Its main innovation is the **Unique Period Selector**, which automatically adjusts 5 internal parameters (tolerance, pivot sensitivity, resolution, and historical depth) with a single click.
**🛠️ MAIN FEATURES:**
1. **Automatic Engine (1-5 Years):**
* Forget about manually setting pivot lengths or "Lookback".
* Select **"1 Year"**: The script scans for fast pivots and recent volume for *Swing Trading*.
* Select **"5 Years"**: The script filters noise and shows only "Rock-Solid" structures (Historical S/R) for *Long Term Investing*.
2. **"Merged" Support & Resistance (S/R):**
* The script detects Pivot Highs/Lows.
* **Fusion Logic:** If price bounces multiple times in the same zone (within calculated tolerance), the script updates the existing line instead of drawing a new one. It extends the line and counts the touches (e.g., "S (4)" means a Support validated 4 times).
* **Clean Chart:** Avoids visual noise.
3. **Lateral Volume Profile (VP):**
* Displays volume distribution to the right of the current price.
* **Orange POC (Point of Control):** Marks the exact price level with the highest trading volume in the selected period.
**🚀 HOW TO USE (STRATEGY):**
Best used on the **Daily Timeframe (1D)**:
* **Scenario 1: Mean Reversion**
* If price moves far from the **Orange POC**, look for it to act as a magnet.
* Enter when price touches a **Green Line (Support)** that aligns with a high volume node.
* **Scenario 2: Breakout**
* If price breaks a **Red Line (Resistance)** aggressively and the volume above is thin (low volume nodes), the move tends to be fast due to lack of friction.
* **Scenario 3: Multi-Timeframe Analysis**
* Use "5 Years" to mark your long-term zones.
* Switch to "1 Year" for tactical entries.
**🎨 VISUAL SETTINGS:**
* **Green Lines:** Demand Zones (Supports).
* **Red Lines:** Supply Zones (Resistances).
* **Dotted Orange Line:** POC (Fair Value).
* **Blue Bars:** Volume Profile.
**Disclaimer / Descargo:**
This script is designed for educational and analytical purposes on the daily timeframe. Use it to identify zones of interest, not as automatic buy/sell signals.
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion)
### When to Use
- Market is **IN BALANCE** (ranging, consolidating)
- Price **breaks out but FAILS** to hold
- **London session** or compressed summer conditions
- Failed breakouts returning to value
### The Setup Sequence
```
1. BALANCE DETECTED
└── Price rotating around POC
2. BREAKOUT ATTEMPT
└── Price pushes beyond Value Area
3. FAILURE + RECLAIM ← KEY MOMENT
└── Price comes BACK inside balance
└── DO NOT trade first move back!
4. PULLBACK INTO LVN
└── Wait for pullback after reclaim
5. AGGRESSION CONFIRMATION
└── Entry candle shows buy/sell pressure
└── Volume elevated (1.2×+ average)
└── Fat body (60%+ of range)
6. ENTRY → TARGET: POC
```
### Signal Labels
- **MR↑** = Mean Reversion Long (failed breakdown)
- **MR↓** = Mean Reversion Short (failed breakout)
- **S/A/B** = Signal quality tier
### Risk Management
- **Stop**: Below recent low (long) / Above recent high (short)
- **Target**: POC (center of value)
- **Risk**: 0.25-0.5% per trade
Ultimate Institutional Order Flow Pro [Pointalgo]Ultimate Institutional Order Flow (UIOF Pro)
Ultimate Institutional Order Flow (UIOF Pro) is a multi-component market analysis indicator designed to study order flow behavior, liquidity interaction, volatility structure, and session-based participation.
It integrates several commonly used market structure and order-flow concepts into a single visual framework.
This script focuses on context and alignment, not on isolated signals.
Core Objective
The indicator aims to identify areas where price, volume, liquidity, and structure appear aligned in the same direction.
It does this by combining:
VWAP behavior
Volume participation
Cumulative delta analysis
Liquidity pool interaction
Order blocks and fair value gaps
Market structure shifts
Session and higher-timeframe confirmation
VWAP & Volatility Framework
Calculates VWAP using session, weekly, or monthly anchors.
Optional VWAP standard-deviation bands visualize price dispersion.
VWAP slope and price position are used to classify directional bias.
VWAP is treated as a dynamic equilibrium reference rather than a signal.
Cumulative Volume Delta (CVD)
Estimates buy and sell pressure based on intrabar price movement.
Tracks cumulative delta and a smoothed delta average.
Uses delta change normalization to highlight abnormal activity.
Detects potential delta divergences when price and participation differ.
CVD is used to assess whether participation supports or contradicts price movement.
Liquidity Zones & Sweeps
Identifies recent swing highs and lows as potential liquidity pools.
Tracks buy-side and sell-side liquidity areas.
Flags conditions where price sweeps liquidity beyond recent extremes.
Liquidity interaction is treated as context, not prediction.
Order Blocks
1. Detects potential bullish and bearish order blocks using:
Candle structure
Volatility thresholds
Volume confirmation
2.Highlights areas where strong participation followed opposing price movement.
Order blocks are visual reference zones and do not imply guaranteed reactions.
Fair Value Gaps (FVG)
Identifies imbalance zones where price moves without overlapping structure.
Filters gaps using ATR-based size conditions.
Visual shading is used to highlight imbalance areas.
These zones may represent inefficient price movement requiring further interaction.
Volume Profile & Point of Control (POC)
Builds a simplified volume profile over a configurable lookback window.
Determines the price level with the highest traded volume (POC).
POC is used as a reference for acceptance or rejection behavior.
Market Structure
Evaluates recent highs and lows to identify structure breaks.
Classifies directional structure as bullish, bearish, or neutral.
Structure is used as a directional filter rather than a trigger.
Multi-Timeframe Confirmation
Optional higher-timeframe confirmation aligns lower-timeframe behavior with broader context.
Prevents analysis from relying on isolated timeframe conditions.
Session Filtering
1. Allows analysis to be limited to specific trading sessions.
2. Helps reduce signals during low-participation periods.
3. Session logic affects signal eligibility, not calculations.
Signal Logic
Signals are generated only when multiple independent conditions align, including:
Liquidity interaction
Order block presence
VWAP bias
Delta confirmation
Structure alignment
Volume participation
Optional higher-timeframe confirmation
Active trading session
Strong continuation conditions are also highlighted when price, volume, and participation remain aligned.
Signals represent confluence states, not trade instructions.
Dashboard Summary
A real-time dashboard summarizes:
VWAP bias and slope
CVD strength and direction
Delta behavior
Market structure state
Higher-timeframe context
Volume conditions
Liquidity pool counts
Session activity
This provides a high-level snapshot of market conditions without manual calculation.
Alerts are available for:
Institutional alignment conditions
Strong continuation pressure
Liquidity sweeps
Delta divergences
Alerts are informational and reflect internal indicator states only.
Usage Notes
Designed for analytical interpretation and market study.
Best used alongside price action and risk management methods.
Performance depends on instrument liquidity and volume quality.
All visual elements can be individually enabled or disabled.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not provide financial, investment, or trading advice.
All outputs should be independently verified before making trading decisions.
Custom Monthly Volume Profile [Multi-Timeframe]This indicator renders a high-precision Monthly Volume Profile designed for intraday traders and practitioners of Auction Market Theory. Unlike standard volume profiles, this script utilizes Multi-Timeframe (MTF) data request capability to build the profile from lower timeframe data (e.g., 5-minute bars) while displaying it on your trading timeframe.
This tool is optimized to keep your chart clean while providing critical developing levels (POC, VAH, VAL) and historical context from the previous month.
Key Features:
1. Dynamic "Auto-Scaling" Width One of the biggest issues with monthly profiles is visual clutter.
Early Month: The profile starts wide (default 10% width) so you can clearly see the developing structure when data is scarce.
Late Month: As volume accumulates, the profile automatically shrinks (scales down to 2% width) to prevent the histogram from obscuring price action.
Note: This can be toggled off for a static width.
2. Developing & Static Levels
Current Month: Displays real-time Developing Point of Control (dPOC), Value Area High (dVAH), and Value Area Low (dVAL).
Previous Month: Automatically locks in the levels from the previous month at the close, providing immediate support/resistance references for the new month.
3. Time-Filtered Alerts Avoid waking up to notifications during low-volume overnight sessions. This script includes a Session Filter (Default: 0830-1500).
Alerts for crossing POC, VAH, or VAL will only trigger if the price cross occurs within the user-defined time window.
4. Calculation Precision
Multi-Timeframe Data: The profile is built using lower timeframe data (Input: Calculation Precision) rather than just the current chart bars. This ensures the Volume Profile shape remains accurate even when viewing higher timeframes.
Row Size: Fully adjustable "Tick/Row Size" to control the resolution of the volume buckets.
Settings Overview:
Calculation Precision: Determine the granularity of the data (e.g., "5" for 5-minute data).
Row Size: Controls vertical resolution (Lower = higher detail).
Value Area %: Standard 70% default, fully adjustable.
Auto-Width: Set the Start % (Day 1) and End % (Day 31).
Alerts: Toggle Current or Previous month alerts and define the active time session.
Visual Customization:
Customize colors for the Histogram (Value Area vs. Outer Area).
Customize line width and colors for POC, VAH, and VAL.
Supports Right or Left alignment.
Disclaimer: This tool is for informational purposes only. Past performance and volume levels do not guarantee future price action.
Multi-Distribution Volume Profile (Zeiierman)█ Overview
Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more.
Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity.
On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map.
Highlights
Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.)
Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout
Value Area / Center Band computed from volume quantiles around the POC.
Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids
Separate bullish vs bearish volume at each price row for directional structure insights
█ How It Works
⚪ Profile Construction
The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows).
For each historical bar within the window:
It measures the candle’s price range, body, and wicks.
It assigns volume to rows according to the selected Profile Build Mode, for example:
* Range Uniform – volume spread evenly across the full high–low range.
* Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only.
* Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling).
HL2 / Body Center Weighted – center weights around the middle of the range/body.
Recent-Weighted Volume – amplify newer bars using exponential time decay.
Volume Squared (Hard) – aggressively boost bars with large volume.
Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars.
For more advanced shapes, the script uses continuous distributions across the bar’s span:
Linear, Triangular, Exponential to High
Cosine Centered, PERT
Gaussian, Lognormal, Cauchy, Laplace
Pareto, Weibull, Logistic, Gumbel
Gamma, Beta, Chi-Square, Student-t, F-Shape
Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes.
⚪ POC & Center Band (Value Area)
Once all rows are accumulated:
The row with the highest total volume becomes the Point of Control (POC)
The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution.
This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading.
⚪ Gradient Fade Engine
Each row also gets a fade metric, chosen in Fade Metric:
Volume – opacity based on relative volume.
Price Hits – how frequently that row was touched.
Blended (Vol+Hits) – average of volume & hits.
Freshness – emphasizes recent activity, controlled by Decay.
Volatility Impact – rows that saw larger ranges contribute more.
Dwell Time – where price “camped” the longest.
Reversal Density – where direction changes cluster.
Compression – tight-range compression zones.
Liquidity Void – inverse of volume (thin liquidity zones).
When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property.
█ How to Use
⚪ Explore Different Distribution Assumptions
Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure:
Use Range Uniform for classical profile reading.
Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering.
Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity.
Use Recent-Weighted Volume to prioritize the most recent structural behavior.
This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest.
⚪ Identify Value, Acceptance & Rejection Zones
Use the POC and Center of Profile (%) band to distinguish:
High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas
Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density
These regions can be used as:
Targets and origin zones for mean reversion
Context for breakout validation (leaving value)
Bias reference for intraday rotations or swing rotations
⚪ Read Directional Structure Within the Profile
Because each row is split into bullish vs bearish contributions, you can visually read:
Where buyers dominated a price region (large bullish slice)
Where sellers absorbed or defended (large bearish slice)
Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data.
⚪ Use Fade Metrics for Contextual Heatmaps
Each Fade Metric can be used for a different analytical lens:
Volume / Blended – emphasize where volume and activity are concentrated.
Freshness – highlight the most recently active zones that still matter.
Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges.
Reversal Density – locate micro turning points and battle zones.
Liquidity Void – visually pop out thin regions that may act as speedways or magnets.
█ Settings
Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families).
Bars Included – Number of bars used to build the profile from the current bar backward.
Price Levels – Vertical resolution of the profile: more levels = smoother but heavier.
Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top.
Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes.
Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric.
Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void).
Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer).
Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window.
Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC.
-----------------
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.
Rolling Volume Profile [Matrix Volume Heatmap] by NXT2017Description
This indicator offers a unique visual approach to Volume Profile analysis. Instead of the traditional histogram bars or boxes, this script renders a Rolling Volume Profile as a background "Matrix Heatmap" directly on your chart.
By dividing the price action of the most recent N-candles into 30 horizontal zones (buckets), it visualizes where the most trading activity has occurred within your defined lookback period. The visualization uses dynamic transparency to highlight the Point of Control (POC) and high-volume nodes, while fading out low-volume areas.
🧠 How it Works
The script operates on a "Rolling Window" basis, meaning it recalculates the profile at every bar to reflect the immediate market context.
Dynamic Range: It calculates the highest High and lowest Low of the user-defined Lookback Length (default: 1000 bars).
Bucket Slicing: This vertical range is divided into 30 equal price buckets.
Volume Distribution (Overlap Logic): The script iterates through the historical data. If a candle is large and spans multiple buckets, its volume is distributed proportionally across those buckets. This ensures a more realistic profile compared to simply assigning volume to the close price.
Heatmap Visualization:
The script calculates the Maximum Volume (POC) within the profile.
It uses a Reference Length to normalize this maximum.
Dynamic Opacity: Zones with volume close to the maximum are rendered opaque (solid). Zones with low relative volume become highly transparent. This creates an automatic "Heatmap" effect, allowing you to instantly spot the most significant price levels.
⚙️ Settings
Lookback Length (candles): Defines how far back the profile calculates volume (e.g., 1000 bars).
POC Reference Length: Defines the smoothing window for the 100% volume baseline. Increasing this stabilizes the color changes; decreasing it makes the heatmap more reactive to sudden volume spikes.
Profil Color: Choose the base color for the matrix. The transparency is calculated automatically.
💡 Use Case
This tool is ideal for traders who want to see the "Value Area" of the current range without cluttering the chart with complex boxes or side-bars. It works excellent as a background context tool to identify:
High Volume Nodes (Support/Resistance)
Low Volume Nodes (Price gaps/Rejection areas)
Migrating Points of Control (Trend direction)
Advanced Market Profile & S/R Zones (Pro)Advanced Market Profile & S/R Zones
This indicator brings professional Auction Market Theory to your chart using a custom rolling Volume Profile algorithm. Unlike standard profiles that remain fixed, this tool dynamically calculates the "Fair Value" of the asset based on your specific lookback period (e.g., the last 100 bars).
It automatically highlights the Point of Control (POC), Value Area (VA), and suggests statistical Discount (Buy) and Premium (Sell) zones.
Key Features
Volume Splitting Algorithm:
Most basic scripts dump the entire volume of a candle into a single price point (the average). This script splits the volume across the candle's entire High-Low range. This results in a much smoother, higher-resolution bell curve that accurately reflects price action, especially on higher timeframes like Monthly charts.
Auto-generated Zones:
Green Zone (Discount): Prices below the Value Area Low (VAL). Statistically "cheap."
Red Zone (Premium): Prices above the Value Area High (VAH). Statistically "expensive."
Real-Time Dashboard:
A built-in panel displays the exact price levels for the POC, VAH, and VAL for precise limit order placement, along with the current Market Trend.
How to Use
For Intraday (Day Trading):
Settings: Set Lookback to 100 - 300.
Strategy: Watch for price to open outside the Value Area. If price breaks back inside the Value Area, target the POC (Red Line).
For Macro (Monthly/Weekly Charts):
Settings: Set Lookback to 12 (1 Year) or 60 (5 Years).
Strategy: Identify multi-year structural support. When a monthly candle enters the Green Discount Zone of a 5-year profile, it is often a high-probability institutional entry point.
Trend Logic
The Dashboard indicates trend based on price location relative to value:
Strong Bullish: Price is accepted ABOVE the Value Area.
Strong Bearish: Price is accepted BELOW the Value Area.
Neutral / In VA: Price is chopping inside the Value Area.
Disclaimer
This is a "Rolling Profile." It calculates the profile based on the current lookback window relative to the latest bar. As new bars form, the lookback window shifts, and the profile updates to reflect the new dataset.
HTF Candle Profile [ChartPrime]⯁ OVERVIEW
The HTF Candle Profile visualizes higher-timeframe candle structure and its internal volume distribution directly on lower-timeframe charts. It automatically detects changes in higher-timeframe periods (daily, weekly, or monthly) and constructs a complete volume profile for each, allowing traders to see how volume is distributed across the range of that higher-timeframe candle. This helps identify whether momentum is supported by real volume strength or trapped price movement.
⯁ LOGIC
When a new higher-timeframe candle begins, the indicator starts collecting data for its open, high, low, close, and volume range.
Once sufficient bars have passed (defined by the Min Period Profile input), it calculates a full profile using adaptive bin sizing derived from the range (High–Low) and ATR for scaling precision.
The resulting bins represent the volume concentration at each price level of that higher-timeframe candle.
A Point of Control (PoC) is highlighted — the level where the most volume occurred.
The indicator then draws the higher-timeframe candle body and wicks at the chart’s right side, giving visual context of bullish or bearish sentiment.
⯁ FEATURES
Automatic HTF Detection: Identifies new Daily, Weekly, or Monthly periods and updates profiles in real time.
Dynamic Bin Calculation: Automatically adjusts bin size based on ATR and candle height for accurate volume granularity.
Volume Profile Rendering: Displays colored volume bars extending from the candle, showing where trading activity was concentrated.
Higher-Timeframe Candle Representation: Plots the full HTF candle (open, close, high, low) on the right side of the chart for visual clarity.
PoC Level & Labels: Marks the point of maximum volume within the candle profile with a line and volume label.
Configurable Levels: Toggle display of Open, Close, High, Low, and PoC for each higher-timeframe segment.
Color-coded Sentiment: Candle and profile colors reflect bullish or bearish momentum.
⯁ CONCLUSION
The HTF Candle Profile bridges lower- and higher-timeframe analysis by embedding high-resolution volume data within each major candle. It enables traders to see where liquidity and trading activity cluster inside higher-timeframe structures — revealing whether trends are volume-backed or hollow. Perfect for combining structural insight with volume confluence when analyzing market sentiment transitions across timeframes.
Market Structure Volume Time Velocity ProfileThis is the Market Structure Volume Time Velocity Profile (MSVTVP). It combines event-based profiling with advanced metrics like Time and Velocity (Flow Rate). Instead of fixed time periods, profiles are anchored to critical market events (Swings, Structure Breaks, Delta Breaks), giving you a precise view of value development during specific market phases.
## The 3 Dimensions of the Market
Unlike standard tools that only show Volume, MSVTVP allows you
to switch between three critical metrics:
1. **VOLUME Profile (The "Where"):**
* Shows standard acceptance. High volume nodes (HVN)
are magnets for price.
2. **TIME Profile (The "How Long"):**
* Similar to TPO, it measures how long price spent at each
level.
* **High Time:** True acceptance and fair value.
* **Low Time:** Rejection or rapid movement.
3. **VELOCITY Profile (The "How Fast"):**
* Measures the **speed of trading** (Contracts per Second).
This reveals the hidden intent of market participants.
* **High Velocity (Fast Flow):** Aggression. Initiative
buyers/sellers are hitting market orders rapidly. Often
seen at breakouts or in liquidity vacu.
* **Low Velocity (Slow Flow):** Absorption. Massive passive
limit orders are slowing price down despite high volume.
Often seen at major reversals ("hitting a brick wall").
Key Features:
1. **Event-Based Profile Anchoring:** The indicator starts a new
profile based on one of three user-selected events
('Profile Anchor'):
- **Swing:** A new profile begins when the 'impulse baseline'
(derived from intra-bar delta) changes. This baseline
adjusts when a new **price pivot** is confirmed: When a
price **high** forms, the baseline moves to the **lower**
of its previous level or the peak delta (max of
delta O/C) at the pivot. When a price **low** forms, it
moves to the **higher** of its previous level or the
trough delta (min of delta O/C) at the pivot.
- **Structure:** A new profile begins immediately on the bar
that *confirms* a market structure break (e.g., a new HH
or LL, based on a sequence of price pivots).
- **Delta:** A new profile begins immediately on the bar
that *confirms* a break in the *cumulative delta's*
market structure (e.g., a new HH or LL in the delta).
Both 'Swing' and 'Delta' anchors are derived from the same
**continuous (non-resetting) Cumulative Volume Profile Delta (CVPD)**,
which is built from the intra-bar statistical analysis.
2. **Statistical Profile Engine:** For each bar in the anchored
period, the indicator builds a volume profile on a lower
'Intra-Bar Timeframe'. Instead of simple tick counting, it
uses advanced statistical models:
- **Allocation ('Allot model'):** 'PDF' (Probability Density
Function) distributes volume proportionally across the
bar's range based on an assumed statistical model
(e.g., T4-Skew). 'Classic' assigns all volume to
the close.
- **Buy/Sell Split ('Volume Estimator'):** 'Dynamic'
applies a model that analyzes candle wicks and
recent trend to estimate buy/sell pressure. 'Classic'
classifies all volume based on the candle color.
3. **Visualization & Lag:** The indicator plots the final
profile (as a polygon) and the developing statistical
lines (POC, VA, VWAP, StdDev).
- **Note on Lag:** All anchor events require `Pivot Right Bars`
for confirmation.
- In 'Structure' and 'Delta' mode, the developing lines
(POC, VA, etc.) are plotted using a **non-repainting**
method (showing the value from `pivRi` bars ago).
- In 'Swing' mode, the profile is plotted **retroactively**,
starting *from the bar where the pivot occurred*. The
developing lines are also plotted with this full
`pivRi` lag to align with the past data.
4. **Flexible Display Modes:** The finalized profile can be displayed
in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined
volume), and 'Delta' (net difference).
5. **Dynamic Row Sizing:** Includes an option ('Rows per Percent')
to automatically adjust the number of profile rows (buckets)
based on the profile's price range.
6. **Integrated Alerts:** Includes 13 alerts that trigger for:
- A new profile reset ('Profile was resetted').
- Price crossing any of the 6 developing levels (POC,
VA High/Low, VWAP, StdDev High/Low).
- **Alert Lag Assumption:** In 'Swing' mode, alerts are
delayed to match the retroactively plotted lines.
In 'Structure' and 'Delta' modes, alerts fire in
**real-time** based on the *current price* crossing
the *current (repainting)* value of the metric, which
may **differ from the non-repainting plotted line.**
**Caution: Real-Time Data Behavior (Intra-Bar Repainting)**
This indicator uses high-resolution intra-bar data. As a result, the
values on the **current, unclosed bar** (the real-time bar) will
update dynamically as new intra-bar data arrives. This includes
the values used for real-time alerts in 'Structure' and
'Delta' modes.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
LibVeloLibrary "LibVelo"
This library provides a sophisticated framework for **Velocity
Profile (Flow Rate)** analysis. It measures the physical
speed of trading at specific price levels by relating volume
to the time spent at those levels.
## Core Concept: Market Velocity
Unlike Volume Profiles, which only answer "how much" traded,
Velocity Profiles answer "how fast" it traded.
It is calculated as:
`Velocity = Volume / Duration`
This metric (contracts per second) reveals hidden market
dynamics invisible to pure Volume or TPO profiles:
1. **High Velocity (Fast Flow):**
* **Aggression:** Initiative buyers/sellers hitting market
orders rapidly.
* **Liquidity Vacuum:** Price slips through a level because
order book depth is thin (low resistance).
2. **Low Velocity (Slow Flow):**
* **Absorption:** High volume but very slow price movement.
Indicates massive passive limit orders ("Icebergs").
* **Apathy:** Little volume over a long time. Lack of
interest from major participants.
## Architecture: Triple-Engine Composition
To ensure maximum performance while offering full statistical
depth for all metrics, this library utilises **object
composition** with a lazy evaluation strategy:
#### Engine A: The Master (`vpVol`)
* **Role:** Standard Volume Profile.
* **Purpose:** Maintains the "ground truth" of volume distribution,
price buckets, and ranges.
#### Engine B: The Time Container (`vpTime`)
* **Role:** specialized container for time duration (in ms).
* **Hack:** It repurposes standard volume arrays (specifically
`aBuy`) to accumulate time duration for each bucket.
#### Engine C: The Calculator (`vpVelo`)
* **Role:** Temporary scratchpad for derived metrics.
* **Purpose:** When complex statistics (like Value Area or Skewness)
are requested for **Velocity**, this engine is assembled
on-demand to leverage the full statistical power of `LibVPrf`
without rewriting complex algorithms.
---
**DISCLAIMER**
This library is provided "AS IS" and for informational and
educational purposes only. It does not constitute financial,
investment, or trading advice.
The author assumes no liability for any errors, inaccuracies,
or omissions in the code. Using this library to build
trading indicators or strategies is entirely at your own risk.
As a developer using this library, you are solely responsible
for the rigorous testing, validation, and performance of any
scripts you create based on these functions. The author shall
not be held liable for any financial losses incurred directly
or indirectly from the use of this library or any scripts
derived from it.
create(buckets, rangeUp, rangeLo, dynamic, valueArea, allot, estimator, cdfSteps, split, trendLen)
Construct a new `Velo` controller, initializing its engines.
Parameters:
buckets (int) : series int Number of price buckets ≥ 1.
rangeUp (float) : series float Upper price bound (absolute).
rangeLo (float) : series float Lower price bound (absolute).
dynamic (bool) : series bool Flag for dynamic adaption of profile ranges.
valueArea (int) : series int Percentage for Value Area (1..100).
allot (series AllotMode) : series AllotMode Allocation mode `Classic` or `PDF` (default `PDF`).
estimator (series PriceEst enum from AustrianTradingMachine/LibBrSt/1) : series PriceEst PDF model for distribution attribution (default `Uniform`).
cdfSteps (int) : series int Resolution for PDF integration (default 20).
split (series SplitMode) : series SplitMode Buy/Sell split for the master volume engine (default `Classic`).
trendLen (int) : series int Look‑back for trend factor in dynamic split (default 3).
Returns: Velo Freshly initialised velocity profile.
method clone(self)
Create a deep copy of the composite profile.
Namespace types: Velo
Parameters:
self (Velo) : Velo Profile object to copy.
Returns: Velo A completely independent clone.
method clear(self)
Reset all engines and accumulators.
Namespace types: Velo
Parameters:
self (Velo) : Velo Profile object to clear.
Returns: Velo Cleared profile (chaining).
method merge(self, srcVolBuy, srcVolSell, srcTime, srcRangeUp, srcRangeLo, srcVolCvd, srcVolCvdHi, srcVolCvdLo)
Merges external data (Volume and Time) into the current profile.
Automatically handles resizing and re-bucketing if ranges differ.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
srcVolBuy (array) : array Source Buy Volume bucket array.
srcVolSell (array) : array Source Sell Volume bucket array.
srcTime (array) : array Source Time bucket array (ms).
srcRangeUp (float) : series float Upper price bound of the source data.
srcRangeLo (float) : series float Lower price bound of the source data.
srcVolCvd (float) : series float Source Volume CVD final value.
srcVolCvdHi (float) : series float Source Volume CVD High watermark.
srcVolCvdLo (float) : series float Source Volume CVD Low watermark.
Returns: Velo `self` (chaining).
method addBar(self, offset)
Main data ingestion. Distributes Volume and Time to buckets.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
offset (int) : series int Offset of the bar to add (default 0).
Returns: Velo `self` (chaining).
method setBuckets(self, buckets)
Sets the number of buckets for the profile.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
buckets (int) : series int New number of buckets.
Returns: Velo `self` (chaining).
method setRanges(self, rangeUp, rangeLo)
Sets the price range for the profile.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
rangeUp (float) : series float New upper price bound.
rangeLo (float) : series float New lower price bound.
Returns: Velo `self` (chaining).
method setValueArea(self, va)
Set the percentage of volume/time for the Value Area.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
va (int) : series int New Value Area percentage (0..100).
Returns: Velo `self` (chaining).
method getBuckets(self)
Returns the current number of buckets in the profile.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: series int The number of buckets.
method getRanges(self)
Returns the current price range of the profile.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns:
rangeUp series float The upper price bound of the profile.
rangeLo series float The lower price bound of the profile.
method getArrayBuyVol(self)
Returns the internal raw data array for **Buy Volume** directly.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: array The internal array for buy volume.
method getArraySellVol(self)
Returns the internal raw data array for **Sell Volume** directly.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: array The internal array for sell volume.
method getArrayTime(self)
Returns the internal raw data array for **Time** (in ms) directly.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: array The internal array for time duration.
method getArrayBuyVelo(self)
Returns the internal raw data array for **Buy Velocity** directly.
Automatically executes _assemble() if data is dirty.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: array The internal array for buy velocity.
method getArraySellVelo(self)
Returns the internal raw data array for **Sell Velocity** directly.
Automatically executes _assemble() if data is dirty.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
Returns: array The internal array for sell velocity.
method getBucketBuyVol(self, idx)
Returns the **Buy Volume** of a specific bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns: series float The buy volume.
method getBucketSellVol(self, idx)
Returns the **Sell Volume** of a specific bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns: series float The sell volume.
method getBucketTime(self, idx)
Returns the raw accumulated time (in ms) spent in a specific bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns: series float The time in milliseconds.
method getBucketBuyVelo(self, idx)
Returns the **Buy Velocity** (Aggressive Buy Flow) of a bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns: series float The buy velocity in .
method getBucketSellVelo(self, idx)
Returns the **Sell Velocity** (Aggressive Sell Flow) of a bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns: series float The sell velocity in .
method getBktBnds(self, idx)
Returns the price boundaries of a specific bucket.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
idx (int) : series int The index of the bucket.
Returns:
up series float The upper price bound of the bucket.
lo series float The lower price bound of the bucket.
method getPoc(self, target)
Returns Point of Control (POC) information for the specified target metric.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns:
pocIdx series int The index of the POC bucket.
pocPrice series float The mid-price of the POC bucket.
method getVA(self, target)
Returns Value Area (VA) information for the specified target metric.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns:
vaUpIdx series int The index of the upper VA bucket.
vaUpPrice series float The upper price bound of the VA.
vaLoIdx series int The index of the lower VA bucket.
vaLoPrice series float The lower price bound of the VA.
method getMedian(self, target)
Returns the Median price for the specified target metric distribution.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns:
medianIdx series int The index of the bucket containing the median.
medianPrice series float The median price.
method getAverage(self, target)
Returns the weighted average price (VWAP/TWAP) for the specified target.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns:
avgIdx series int The index of the bucket containing the average.
avgPrice series float The weighted average price.
method getStdDev(self, target)
Returns the standard deviation for the specified target distribution.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns: series float The standard deviation.
method getSkewness(self, target)
Returns the skewness for the specified target distribution.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns: series float The skewness.
method getKurtosis(self, target)
Returns the excess kurtosis for the specified target distribution.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns: series float The excess kurtosis.
method getSegments(self, target)
Returns the fundamental unimodal segments for the specified target metric.
Calculates on-demand if the target is 'Velocity' and data changed.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns: matrix A 2-column matrix where each row is an pair.
method getCvd(self, target)
Returns Cumulative Volume/Velo Delta (CVD) information for the target metric.
Namespace types: Velo
Parameters:
self (Velo) : Velo The profile object.
target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).
Returns:
cvd series float The final delta value.
cvdHi series float The historical high-water mark of the delta.
cvdLo series float The historical low-water mark of the delta.
Velo
Velo Composite Velocity Profile Controller.
Fields:
_vpVol (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine A: Master Volume source.
_vpTime (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine B: Time duration container (ms).
_vpVelo (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine C: Scratchpad for velocity stats.
_aTime (array) : array Pointer alias to `vpTime.aBuy` (Time storage).
_valueArea (series float) : int Percentage of total volume to include in the Value Area (1..100)
_estimator (series PriceEst enum from AustrianTradingMachine/LibBrSt/1) : LibBrSt.PriceEst PDF model for distribution attribution.
_allot (series AllotMode) : AllotMode Attribution model (Classic or PDF).
_cdfSteps (series int) : int Integration resolution for PDF.
_isDirty (series bool) : bool Lazy evaluation flag for vpVelo.
RBD Market ProfileA Market Profile visually shows how much time (or how many bars) price spent at each price level within a session — helping identify areas of “fair value” (where price spent most time) and extremes (where price barely traded).
It divides each trading session (for example, a day, week, or month depending on input) into price segments, counts how many bars closed within each segment, and then identifies:
POC (Point of Control): price level with the highest frequency (most traded or visited).
VAH (Value Area High): upper boundary of the zone that contains 70% (or user-defined percentage) of all activity around the POC.
VAL (Value Area Low): lower boundary of that same 70% activity zone.
Finally, it plots lines for:
VAH (green line)
VAL (red line)
POC Upper & Lower (white lines)
Session Open (blue dashed line)
How to use this Market Profile:
Determine Key Areas of Support/Resistance by the VAH and VAL
VAH: Responsive Sellers and Initiative Buyers
VAL: Responsive Buyers and Initiative Sellers
POC: Can be used as Fair Value
Market Structure Volume ProfileThis indicator visualizes volume profiles that are dynamically anchored to market structure events, rather than fixed time intervals. It builds these profiles using high-resolution intra-bar data to provide a precise view of where value is established during critical market phases.
Key Features:
Event-Based Profile Anchoring: The indicator starts a new profile based on one of three user-selected events ('Profile Anchor'):
Swing: A new profile begins when the 'impulse baseline' (derived from intra-bar delta) changes. This baseline adjusts when a new price pivot is confirmed: When a price high forms, the baseline moves to the lower of its previous level or the peak delta (max of delta O/C) at the pivot. When a price low forms, it moves to the higher of its previous level or the trough delta (min of delta O/C) at the pivot.
Structure: A new profile begins immediately on the bar that confirms a market structure break (e.g., a new HH or LL, based on a sequence of price pivots).
Delta: A new profile begins immediately on the bar that confirms a break in the cumulative delta's market structure (e.g., a new HH or LL in the delta). Both 'Swing' and 'Delta' anchors are derived from the same continuous (non-resetting) Cumulative Volume Profile Delta (CVPD), which is built from the intra-bar statistical analysis.
Statistical Profile Engine: For each bar in the anchored period, the indicator builds a volume profile on a lower 'Intra-Bar Timeframe'. Instead of simple tick counting, it uses advanced statistical models:
Allocation ('Allot model'): 'PDF' (Probability Density Function) distributes volume proportionally across the bar's range based on an assumed statistical model (e.g., T4-Skew). 'Classic' assigns all volume to the close.
Buy/Sell Split ('Volume Estimator'): 'Dynamic' applies a model that analyzes candle wicks and recent trend to estimate buy/sell pressure. 'Classic' classifies all volume based on the candle color.
Visualization & Lag: The indicator plots the final profile (as a polygon) and the developing statistical lines (POC, VA, VWAP, StdDev).
Note on Lag: All anchor events require Pivot Right Bars for confirmation.
In 'Structure' and 'Delta' mode, the developing lines (POC, VA, etc.) are plotted using a non-repainting method (showing the value from pivRi bars ago).
In 'Swing' mode, the profile is plotted retroactively, starting from the bar where the pivot occurred. The developing lines are also plotted with this full pivRi lag to align with the past data.
Flexible Display Modes: The finalized profile can be displayed in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined volume), and 'Delta' (net difference).
Dynamic Row Sizing: Includes an option ('Rows per Percent') to automatically adjust the number of profile rows (buckets) based on the profile's price range.
Integrated Alerts: Includes 13 alerts that trigger for:
A new profile reset ('Profile was resetted').
Price crossing any of the 6 developing levels (POC, VA High/Low, VWAP, StdDev High/Low).
Alert Lag Assumption: In 'Swing' mode, alerts are delayed to match the retroactively plotted lines. In 'Structure' and 'Delta' modes, alerts fire in real-time based on the current price crossing the current (repainting) value of the metric, which may differ from the non-repainting plotted line.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This includes the values used for real-time alerts in 'Structure' and 'Delta' modes.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW
This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction.
🟠 CONCEPTS
The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action.
🟠 FEATURES
Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction.
Break detection that removes levels once price decisively crosses them twice in the same direction.
Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar.
Volume labels for each level, shown either as raw volume or percentage of total level volume.
Candle coloring based on trend direction (break-dominant).
🟠 USAGE
Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.
Overnight Bias: Net Long/Short with PercentOvernight bias can assist with NY session gap fades or gap and go trading once the NY session is open.
Some general gap rules are:
1. Gap Direction Aligned with Overnight Bias
Rule: If the NY session gaps up and the overnight bias is Net Long (e.g., >60% of bars above the overnight open), favor longs.
Confirmation: Look for price to hold above overnight open or VWAP.
Invalidation: If price re-enters the overnight range, reassess.
2. Gap Opposing Overnight Bias (Contrarian Setup)
Rule: If the NY opens opposite the overnight bias, expect potential gap fill or reversal.
Trade Bias: Look for retracement back toward the overnight open or VWAP.
Example: Overnight was Net Long, but NY gaps down → wait for reclaim of VWAP to go long, else fade strength.
3. Gap Into Prior Day Value Area (VAH to VAL)
Rule: If the NY session gaps into the prior day value area:
It implies mean reversion behavior.
Expect price to rotate toward the POC (point of control).
Trade Bias: Fade toward POC if overnight bias is balanced or opposite the gap direction.
4. Gap Outside Prior Day Value Area
Rule: A gap above VAH or below VAL suggests potential breakout or new trend day.
Trade Bias: If overnight bias aligns (e.g., gap above VAH + Net Long overnight), consider trend continuation.
Invalidation: If price breaks back inside the prior day value area, watch for failed breakout → fade trade possible.
5. Gap Above Prior Day High / Below Prior Day Low
Rule: This is a true breakout gap.
Above Prior High + Net Long Bias: Look for continuation.
Below Prior Low + Net Short Bias: Look for sell pressure continuation.
Trade Bias: Use pullbacks to the prior high/low or overnight open for continuation setups.
6. Gap Within Prior Day Range
Rule: If the NY open is within the prior day’s high and low, expect chop or balanced conditions.
Trade Bias: Use overnight VWAP and prior POC as decision zones. Be cautious unless a breakout occurs.
7. Failed Gap and Re-entry into Prior Day Range
Rule: If price gaps above prior high but re-enters the prior range, it's a failed breakout.
Trade Bias: Look for a fade back to VAH or POC.
Confirmation: Watch for breakdown below overnight VWAP or failure to hold overnight open.
8. Gap + Overnight VWAP Divergence
Rule: If price gaps opposite the direction of VWAP (e.g., VWAP rising, gap down), wait for confirmation.
Trade Bias: Be cautious with early trades. Bias may flip if VWAP is reclaimed.
9. Gap + Overnight Open Test
Rule: If price opens with a gap and then retests the overnight open, that level becomes a decision zone.
Trade Bias:
Hold above = trend continuation.
Rejection = gap fill or reversal.
10. Unfilled Gap = Trend Bias
Rule: If the gap remains unfilled for the first 30–60 minutes, it increases the odds of a trend day.
Trade Bias: Trade pullbacks in the direction of the gap and overnight bias.
Should anyone have suggestion to add please do so.
volume profile ranking indicator📌 Introduction
This script implements a volume profile ranking indicato for TradingView. It is designed to visualize the distribution of traded volume over price levels within a defined historical window. Unlike TradingView’s built-in Volume Profile, this script gives full customization of the profile drawing logic, binning, color gradient, and the ability to anchor the profile to a specific date.
⚙️ How It Works (Logic)
1. Inputs
➤POC Lookback Days (lookback): Defines how many bars (days) to look back from a selected point to calculate the volume distribution.
➤Bin Count (bin_count): Determines how many price bins (horizontal levels) the price range will be divided into.
➤Use Custom Lookback Date (useCustomDate): Enables/disables manually selecting a backtest start date.
➤Custom Lookback Date (customDate): When enabled, the profile will calculate volume based on this date instead of the most recent bar.
2. Target Bar Determination
➤If a custom date is selected, the script searches for the bar closest to that date within 1000 bars.
➤If not, it defaults to the latest bar (bar_index).
➤The profile is drawn only when the current bar is close to the target bar (within ±2 bars), to avoid unnecessary recalculations and performance issues.
3. Volume Binning
➤The price range over the lookback window is divided into bin_count segments.
➤For each bar within the lookback window, its volume is added to the appropriate bin based on price.
➤If the price falls outside the expected range, it is clamped to the first or last bin.
4. Ranking and Sorting
➤A bubble sort ranks each bin by total volume.
➤The most active bin (POC, or Point of Control) is highlighted with a thicker bar.
5. Rendering
➤Horizontal bars (line.new) represent volume intensity in each price bin.
➤Each bar is color-coded by volume heat: more volume = more intense color.
➤Labels (label.new) show:
➤Total volume
➤Rank
➤Percentage of total volume
➤Price range of the bin
🧑💻 How to Use
1. Add the Script to Your Chart
➤Copy the code into TradingView’s Pine Script editor and add it to your chart.
2. Set Lookback Period
➤Default is 252 bars (about one year for daily charts), but can be changed via the input.
3. (Optional) Use Custom Date
●Toggle "Use Custom Lookback Date" to true.
➤Pick a date in the "Custom Lookback Date" input to anchor the profile.
4. Analyze the Volume Distribution
➤The longest (thickest) red/orange bar represents the Point of Control (POC) — the price with the most volume traded.
➤Other bars show volume distribution across price.
➤Labels display useful metrics to evaluate areas of high/low interest.
✅ Features
🔶 Customizable anchor point (custom date).
🔶Adjustable bin count and lookback length.
🔶 Clear visualization with heatmap coloring.
🔶 Lightweight and performance-optimized (especially with the shouldDrawProfile filter)
Support and ResistanceThis indicator, titled "Support and Resistance," is designed to identify and display key price levels based on volume and pivot points. It's a versatile tool that can be adapted for different market views and timeframes.
Key Features
Market View Options
The indicator offers three market view settings:
Short term
Standard
Long term
These settings affect the lookback periods used in calculations, allowing users to adjust the indicator's sensitivity to market movements.
Volume-Based Levels
The indicator calculates support and resistance levels using a rolling Point of Control (POC) derived from volume data. This approach helps identify price levels where the most trading activity has occurred.
Pivot Points
In addition to volume-based levels, the indicator incorporates pivot points to identify potential support and resistance areas.
Customizable Appearance
Users can adjust:
Number of lines to display (1-8)
Colors for support and resistance levels
Line thickness based on level importance
Calculation Methods
Rolling POC
The indicator uses a custom function f_rolling_poc to calculate the rolling Point of Control. This function analyzes volume distribution across price levels within a specified lookback period.
Pivot Points
Both standard and quick pivot points are calculated using the rolling POC as input, rather than traditional price data.
Level Importance
The indicator assigns importance to each level based on:
Number of touches (how often price has interacted with the level)
Duration (how long the level has been relevant)
This importance score determines the thickness of the displayed lines.
Unique Aspects
Dynamic Line Thickness: Lines become thicker when levels overlap, highlighting potentially stronger support/resistance areas.
Adaptive Coloring: The color of each line changes dynamically based on whether the current price is above or below the level, indicating whether it's acting as support or resistance.
Flexible Time Frames: The market view options allow the indicator to be easily adapted for different trading styles and timeframes.
Potential Uses
This indicator could be valuable for:
Identifying key price levels for entry and exit points
Recognizing potential breakout or breakdown levels
Understanding the strength of support and resistance based on line thickness
Adapting analysis to different market conditions and timeframes
Overall, this "Support and Resistance" indicator offers a sophisticated approach to identifying key price levels, combining volume analysis with pivot points and providing visual cues for level importance and current market position.
This Support and Resistance indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The indicator's calculations are based on historical data and may not accurately predict future market movements. Trading decisions should be made after thorough research and consultation with a licensed financial advisor. The creator of this indicator is not responsible for any losses incurred from its use. Past performance does not guarantee future results. Use at your own risk.
