Volume Profile - Sessions [ZurvanEG]⯁ Professional Multi Session Volume Analysis
◇ Overview
The Volume Profile - Sessions indicator is an advanced session based Volume Profile and VWAP analysis tool, designed to give traders a deep and structured view of market behavior across different trading sessions and time regimes. Instead of applying a single volume profile to an entire chart or day, this script resets and recalculates volume independently for each trading session, ensuring that every profile reflects only the activity of the participants active during that session. By optionally leveraging Lower Timeframe (LTF) intrabar data, the script delivers high precision volume distribution, accurate Point of Control (POC) and High Volume Node (HVN) detection, and a true session anchored VWAP.
The framework is suitable for Forex, Futures, Crypto, and Index markets, and works reliably across both intraday and higher timeframes.
◈ Intelligent Session Engine
At the core of the script is a custom session state engine that manages the entire session lifecycle:
⬦ Accurate detection of session start and end
⬦ Session isolated accumulation of OHLCV data
⬦ Clear separation between live and historical sessions
⬦ Smart object tracking and automatic cleanup to maintain performance
Supported Session Modes:
⬦ Standard Periods: Daily, Weekly, Monthly, Yearly
⬦ Major Market Sessions: New York, London, Tokyo, Shanghai, Sydney
⬦ Forex Composite Mode (NY/Lon/Tok):
Displays all three major FX sessions simultaneously, ideal for overlap and transition analysis
⬦ Fixed Length Sessions:
Sessions defined by a fixed number of bars
⬦ Custom Period Sessions:
User defined session times with selectable timezones
All sessions are processed independently and with full integrity.
◈ High Precision Volume Calculation
To improve accuracy, the script can internally use Lower Timeframe (LTF) data. This allows:
⬦ Higher timeframe charts (1H, 4H, etc.) to internally process 1–5 minute data
⬦ More realistic volume distribution across price levels
⬦ POC and HVNs that reflect true traded interest, not candle compression artifacts
The LTF can be:
⬦ Automatically selected based on the current chart timeframe
⬦ Manually defined for advanced users
This significantly enhances the reliability of volume based decision levels.
◈ Volume Profile & Delta Visualization
For each session, the script offers modular and fully configurable visual components:
⬥ Volume Profile
Session scaled histogram width
Adjustable resolution (row size)
Optional low volume filtering
⬥ Delta Profile
Buy vs Sell volume separation
Left or Right alignment
Independent color controls
⬥ Point of Control (POC) & HVNs
POC displayed as a line and/or value box
Optional extension beyond the session boundary
Configurable number of HVNs
Smart exclusion zone to prevent clustering near the POC
All elements can be toggled individually to maintain a clean and professional chart.
◇ True Session Anchored VWAP
VWAP is calculated strictly from the session start, not from the chart day or broker reset.
Key features:
⬦ Live VWAP curve during active sessions
⬦ Optional preservation of VWAP curves for completed sessions
⬦ Independent VWAP per session type
⬦ Accurate resets aligned with session boundaries
This makes VWAP a reliable equilibrium reference within each session’s market environment.
◇ Real Time Session Dashboard
A clean, non intrusive on chart dashboard provides instant situational awareness. For each relevant session, it displays:
⬦ Session status (Active/Closed)
⬦ Time remaining until close
⬦ Session name
⬦ Total traded volume
⬦ Session price change (%)
◇ Alerts
The script provides clean, professional alerts strictly aligned with session structure. Supported alert events:
⬦ Session Start
⬦ Session End
⬦ Price Cross VWAP (session anchored)
⬦ Price Cross POC (session value area)
◇ Conclusion
This framework is engineered for the professional intraday speculator who demands precision over noise. By synthesizing Session-Anchored VWAP, dynamic Volume Profiles, and context-driven alerts, it transforms raw data into a clear narrative of value and participation. This tool is not a signal generator, but a sophisticated decision-support system designed to reveal the mechanics of the auction-empowering you to distinguish between genuine value acceptance (Balance) and structural rejection (Imbalance) within each unique market session.
POC
Apex Wallet - Volume Profile: Institutional POC & Value Area TooOverview The Apex Wallet Volume Profile is a professional-grade institutional analysis tool designed to reveal where the most significant trading activity has occurred. By plotting volume on the vertical price axis, it identifies key liquidity zones, value areas, and market fair value, which are essential for order flow trading and identifying high-probability support and resistance.
Dynamic Multi-Mode Engine This script features an intelligent adaptive lookback system that automatically adjusts based on your timeframe and trading style:
Scalping: Fine-tuned for 1m to 15m charts, focusing on immediate liquidity.
Day-Trading: Optimized for intraday sessions from 5m to 1h timeframes.
Swing-Trading: Deep historical analysis for 1h up to daily charts.
Institutional Data Points
Point of Control (POC): Automatically identifies and highlights the price level with the highest total volume.
Value Area (VAH/VAL): Calculates the range where 70% (customizable) of the volume occurred, representing the "Fair Value" of the asset.
HVN & LVN Detection: Spots High Volume Nodes (significant support/resistance) and Low Volume Nodes (rejection zones).
Delta Visualization: Toggle between Bullish, Bearish, or Total volume distribution for precise buy/sell pressure analysis.
Professional UI The profile is rendered with high-fidelity histograms that can be offset to avoid overlapping with price action. It features clear labels and dashed levels for institutional markers, ensuring a clean and actionable workspace.
FlowMap / Flowly IndicatorsIntroducing FlowMap
FlowMap is built to be minimal, yet a powerful tool for navigating orderflow with all key concepts baked into one.
Concepts
💧 Liquidity Heatmap
🌀 Internal Flow
🔅 Value Area & POC
🔥 Liquidations
On top of the concepts themselves, FlowMap supports a wide range of features for backtesting orderflow events as well as automating workflows using alerts and scanning with PineScreener.
Features
🧪 Signal builder
📊 Backtesting & Analytics
🔔 Custom alerts
📡 Custom scans
FlowMap can be used on all timeframes and charts available on TradingView. FlowMap differs from traditional orderflow tools by detecting key orderflow events algorithmically using price and volume, rather than using direct exchange trade feed. This approach comes with its own unique advantages and disadvantages, which are discussed further ahead.
For getting access to FlowMap, see "Author's instructions" section. Please review "Limitations & considerations" also.
Let’s go over in detail all the concepts, key features and how to use FlowMap in practical ways.
💧 Liquidity Heatmap
Before jumping into the heatmap itself, let's first go over what liquidity is. Liquidity refers to buy and sell orders placed in an orderbook at various price levels. Depth of liquidity refers to how many buy and sell orders are clustered around various price levels.
Deep liquidity
Buy/sell orders that are clustered around narrow area in price
-> Price struggles to move to higher/lower prices, hard passage
Thin liquidity
Buy/sell orders that are spread out across a larger area
-> Price doesn't struggle to move to higher/lower prices, easy passage
As every buy order needs a seller and every sell order needs a buyer, price naturally finds resistance at deep liquidity where resting limit orders are overwhelming incoming market orders. Here’s a ballpark illustration of how price can be expected to react at deep vs. thin liquidity.
FlowMap is built to detect only deep liquidity where price is likely to find resistance. Deep liquidity is detected using specific type of turns in price that signal an underlying liquidity pool, responsible for the turn.
When a liquidity pool is detected, FlowMap estimates its depth using volume traded at the pool. The larger the estimated liquidity pool, the larger the line and brighter the color. Deep liquidity can also be gauged by looking for multiple overlapping lines.
Liquidity pool manipulation
FlowMap also highlights events where a liquidity pool is exceeded and price closes back in, referred to as manipulation. The idea behind manipulation is to identify extremes where traders have sold or bought into overwhelming limit orders set by larger players, leaving the participating traders as exit liquidity.
When market psychology starts to play out, these traders are compelled to cover their losses, further fueling a reversal.
🌀 Internal Flow
Internal Flow displays unusual volume activity taking place inside a candle, highlighted in a heatmap style - brighter color corresponding to higher volume. In simple terms, Internal Flow shows an X-ray view of activity inside candles, revealing high value orders and key flows.
How Internal Flow is calculated
Internal Flow is calculated using lower timeframe price moves and the volume associated with them. For example, on 1H chart FlowMap goes over 60x1 minute price moves inside the candle, assesses their volume and visualizes unusual activity. FlowMap automatically chooses an appropriate lower timeframe that maintains same level of accuracy across all charts and timeframes.
🔅 Value Area & POC
Sometimes a candle does not have high value orders or extreme activity, but it is regardless useful to know where most volume and highest volume was traded. Value Area displays area in each candle where 70% (customizable) of the volume was traded, visualized using a blue box. Point of Control (POC), displays point in price where highest amount of volume was traded, visualized using a black horizontal line.
How Value Area & POC are calculated
Like with Internal Flow, Value Area and POC are also calculated using lower timeframe price moves. Using same 1H chart example, FlowMap goes over 60x1 minute price moves inside the candle to calculate range where 70% of all volume was traded (Value Area).
Point of control (POC) is defined as closing price of the lower timeframe candle where largest volume occurred. Value area is then calculated starting from this point, progressively calculating an area to the upside and downside, until the area captures 70% of all trading volume.
🔥 Liquidations
Liquidations are detected by a complex algorithm that uses volume and price anomalies to identify events where traders were forcefully liquidated. In simple terms, liquidations signify traders who have suffered significant losses and pain, leaving price exhausted and creating a window of opportunity for a reversal/halt in price. Size of the bubbles indicate estimated amount of realized liquidations. The bigger the bubble, the more liquidations.
🧪 Signal builder
Signal builder can be used to build custom orderflow based signals using any single event or combining multiple. Once signal is defined and built, it can be used for backtesting, creating alerts and market scans.
The following events are available for creating a signal:
- Liquidations
- Liquidity pool sweeps
- Liquidity pool confirmed
- Manipulation
Signals can be previewed on chart visually, showing where they have historically triggered. Preview mode also shows backtest metrics for each signal.
📊 Backtest & Analytics
Once conditions are defined using Signal builder, FlowMap detects each occurrence of the signal and measures its performance using price and volume metrics, shown on the right side table.
1. Amount of signals
Amount of signals shows how many times the custom signal has occurred through the chart’s history.
2. Volume test
Volume test refers to how much volume traded at signal is above/below average volume. This concept is also known as relative volume, comparing current volume traded to a historical average (average of 20 historical candles).
Example: When volume gain is +30%, volume traded at signal is typically 30% higher than average. Volume test allows us to validate and measure liquidity depth typically found when signal fires.
3. Highs/lows hold test
Highs/lows hold test measures likelihood of price staying above signal low price (bullish impact test) and staying below signal high price (bearish impact test). This test is measured for 3 candles after signal confirmation, giving us an idea of resistance in price.
Example: Highs hold score of 66% indicates two out of three candles after a signal stay below signal high price, indicating price at least stops trending up most of the time.
4. Max. run test
Max. run test measures maximum price increase (bullish impact test) and decrease (bearish impact test) after a confirmed signal, expressed in percentage change. Max. run is calculated by measuring highest/lowest price within 3 candles after a signal, compared to signal closing price. This test gives an idea for typical reversal magnitude.
Example: Max. run up score of +1.2% indicates that a signal typically leads to 1.2% upside move.
Together, FlowMap's backtesting can be used to form evidence based trade thesis/ideas and get a sense for what is reasonable to expect from various orderflow events. The backtest results will always vary from chart to chart and conditions selected for a signal, which is good to keep in mind. Users should also note that the metrics are guidelines, historical performance does not guarantee future results .
🔔 Creating alerts
Custom signals can also be used for alerts. Once we have defined the conditions for the signal we wish to get notified on, we can enable an alert for it using TradingView's alert menu.
📡 Creating scans
In the same way, custom signals can be used for market scans using PineScreener. PineScreener allows scanning custom watchlists for signals using any indicator, including FlowMap.
Head to PineScreener and select FlowMap under Indicators to prepare for a scan.
Scroll down in FlowMap's settings menu to find all available events. In this example, we're scanning for downside liquidations. Once we have selected downside liquidation from the events, let's click "Apply" to save the changes.
To scan the selected watchlist of charts, set “Custom signal” to “True”. Then just click “Scan”. PineScreener will begin to look for charts where downside liquidation has recently occurred, shown as a list of symbols where signal was found. We can see that PineScreener found a downside liquidation on MSFT (Microsoft).
We can then hop over to TradingView and open up Microsoft's chart to confirm a downside liquidation is indeed there.
❓ Limitations and considerations
FlowMap is based on algorithmic orderflow, which significantly differs from orderbook based orderflow. That being said, FlowMap has some unique advantages and disadvantages that users should be aware of.
1. Advantages vs. disadvantages
✅ Reduced noise, clearer read on orderflow
✅ Can be validated using backtesting
✅ Can be used for alerts and market scans
❌ Some orderflow events have a slight delay (see below)
❌ Not based on volume tick data
2. Confirmation times
Due to the nature of algorithmic orderflow, some events are not detected in real-time. The algorithm powering FlowMap is designed to be at a sweet spot for less noise/more accurate indications without sacrificing reasonable confirmation times.
Liquidity pool sweep : ⚡️ Real-time, no delays
Liquidity pool sweeps are detected real-time, drawn as they develop without delays.
Value area & POC : ⚡️ Real-time, no delays
Value area & POC are calculated real-time, drawn as they develop without delays.
Internal Flow : ⚡️ Real-time, no delays
High value trades shown by Internal Flow are real-time, drawn as they develop without delays.
Liquidations : ⏱️ On candle close
Liquidation conditions are checked on candle close, after which they are considered confirmed.
Manipulation : ⏱️ On candle close
Manipulation pattern confirms once price has closed back inside exceeded liquidity pool.
Liquidity pool confirmation : ⏱️ 2-3 candle delay
Liquidity pools are confirmed on average in 2-3 candles after a qualifying turn in price.
3. TradingView related limitations
While FlowMap can be used on free plans, due to TradingView related restrictions some functionality are available only for users with a paid plan.
Internal Flow and Value Area & POC on 1 minute charts
Internal Flow and Value Area & POC can be used on 1 minute timeframe only if you have a Premium plan or above (as of writing this guide).
This is due to TradingView restricting seconds based timeframes only for these plans, which FlowMap uses on 1 minute charts.
Market scans
Market scans using PineScreener are only available if you have a Premium plan or above (as of writing this guide).
All other functionality of FlowMap works the same way for free plans.
💡 How to use FlowMap
FlowMap is a simple, yet a powerful tool allowing one to see inside charts and identify when the flows are favorable. Let's cover a few practical ways on how to take advantage of FlowMap.
Identify absorption/trapped traders
Absorption refers to an event where price forms a reversal shaped candle pattern, while high amount of volume is traded at the wick.
The idea behind absorption is that price found liquidity to which traders bought/sold into with high effort, but reaped little reward. Absorption can be interpreted as a sign of deep and impactful liquidity, potentially causing a halt/reversal in price.
Absorption can be seen using Internal Flow by looking for high value trades in wicks. Ideal point of confluence for absorption is a preceding parabola-type trend, increasing likelihood of exhaustion.
Although the high value trades at wick imply greater absorption (therefore more likely exhaustion/price impact), absorption can also be spotted using just Value Area and POC at wick as well.
Identify trend initiation
Internal Flow, Value Area and POC are also useful for gauging when large players are initiating new moves. Uptrend initiations can be seen from large amount of flows at candle high, downtrend initiations at candle low.
Unlike with absorption, ideal point of confluence for trend initiations is a preceding low volatility/stable period of price action.
Identify rekt traders
While absorption often coincides with forced liquidations, another simple and straightforward way to detect such instances on FlowMap is liquidation bubbles and manipulation patterns.
Liquidations indicate when traders are forcefully liquidated and price moves away from them, creating ideal conditions for a halt/turn in price.
Although less frequent, manipulations are also apt indications for detecting pain. Buyers and sellers that are trapped into liquidity pool sweep create ideal conditions for long and short squeezes.
Detecting key levels
Liquidity pools on FlowMap can be used to anticipate key levels where price is likely to find liquidity, resulting in resistance.
📃 Disclaimer
FlowMap does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Hypothetical or simulated performance does not represent actual trading and past results do not guarantee future performance.
For getting access to FlowMap, see "Author's instructions" section.
[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool.
This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations.
🔎 Visual Guide: What's on Your Chart?
The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum.
The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF.
The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data.
⚙️ Key Settings & Configuration
To get the most out of this indicator, check these inputs in the settings menu:
Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D").
Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart.
POC Resolution (Levels): This is your fine-tuning dial.
Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels.
Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity.
Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times.
📈 Trading Strategies: How to Trade the HTF POC
1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box.
2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout.
3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend.
⚡ Performance Note
This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart.
🙏 Credits
This is a refactored and heavily optimized fusion of two great concepts:
Original HTF Box logic by © krollo041
Original Volume Thermometer concept by © ChartPrime
Merged, debugged, and optimized for v6 Array Management by ©Luki_eR
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.
ZenAlgo - ControlZenAlgo - Control plots volume profile reference levels for several higher time windows and keeps those levels visible on the chart with labels and optional alerts. It is designed to work on intraday charts and uses the symbol's traded volume to estimate where the most activity occurred within each period.
Inputs and session alignment
Session start offset (hours) shifts the time used to decide when a new week, month, quarter, semi annual period, or year begins. This is useful when you want the period boundary to align with a specific exchange session, or when you want weekly boundaries to start at a different hour than the default.
Profile levels controls how finely the script bins price into equally sized price slices between the current period's high and low. More levels means a finer histogram (more detail, more computation).
Max rebuild bars limits how far back the script will look when it must rebuild the entire histogram (explained below).
Value Area % sets how much of the total estimated volume the value area should contain (default 0.68).
Label offsets control how far to the right the labels and lines extend, so the levels are readable without covering current candles.
Period availability and timeframe gating
The indicator conditionally runs each period engine depending on the chart timeframe to avoid heavy calculations where it is not intended.
Weekly is available on intraday timeframes below 1D (for example 1m to 4h).
Monthly is available on intraday timeframes at or above 15m.
Quarterly, Semi Annual, and Yearly are available on intraday timeframes at or above 1h.
The script disables these engines on D, W, M chart timeframes as described in the input tooltips and gating logic.
This matters because the calculation builds a histogram from bar ranges and volumes, which becomes expensive on very low timeframes over very long history.
Core idea - building a volume by price histogram from candles
For each enabled period (weekly, monthly, quarterly, semi annual, yearly), the script maintains:
The running high and low of the current period
A fixed number of price bins spanning that high to low range
An array holding estimated volume per price bin
For every new bar inside the current period, the script distributes that bar's volume into the bins that overlap the candle's low to high range. The distribution is weighted by how much of the candle's range overlaps each bin, so a candle that spans many bins contributes proportionally rather than assigning all volume to a single price.
Why this works conceptually:
Volume profile levels aim to identify prices where the market accepted a lot of trading (high participation).
Distributing volume across the candle's traded range is a practical approximation on platforms where true tick by tick volume at price is not available to Pine in a universal way.
Aggregating many bars over a full period produces a stable histogram where high volume areas stand out compared to low volume areas.
POC and Value Area calculation
Point of Control (POC)
Within a period, the script finds the price bin with the highest accumulated volume and uses the center of that bin as the period's POC level. This is the single price level where the histogram peaks.
Value Area High and Low (VAH, VAL)
After the POC is known, the script expands outward from the POC bin, adding neighboring bins until the cumulative included volume reaches the configured Value Area percentage of the total. It expands by comparing the volume just above and just below, including the larger side first so the chosen area reflects where volume clustered. The resulting upper and lower included bin centers become VAH and VAL.
Interpretation:
POC is a single most traded price area proxy for the period.
VAH and VAL bound the price region that contains the chosen fraction of the period's estimated volume.
When price is inside VA, it is within the range where most period volume occurred. When price is outside VA, it is in the lower participation tails relative to that period's distribution.
Incremental update vs rebuild logic
The histogram depends on the current period's high and low because those define the bin boundaries. When a new bar makes a new high or new low for the period, the bin boundaries would change. If you kept the old histogram, the bins would no longer correspond to the correct price slices.
To handle this, the script uses two modes:
Incremental update when the period high and low do not change on the new bar. It simply adds the new bar's weighted volume into the existing bins and recalculates the POC from the updated histogram.
Rebuild when the period makes a new high or new low. It clears the histogram and reconstructs it by iterating back over bars in the current period (up to Max rebuild bars), re distributing each bar's volume into the newly defined bins.
This approach keeps levels consistent with the current period range, at the cost of occasional heavier computation when the range expands.
Current period dPOC and previous period levels
The indicator draws two categories of levels per period.
Current period dPOC (running)
For each enabled period, the script plots a dotted line at the current period's running POC and labels it as dPOC (dynamic POC). It is dynamic because it changes while the period is still forming as new volume comes in and as the period range expands.
Previous period fixed levels
When a period rolls over (for example, a new week starts), the script stores the finished period's final POC, VAH, and VAL as previous levels. It then draws those previous levels across the current chart with solid (POC) and user selected styles (VAH, VAL), plus labels. These previous levels remain fixed until the next rollover of that period.
Why both exist:
The running dPOC reflects where trading is concentrating in the current unfinished period.
The previous period POC and VA levels provide stable references derived from a completed distribution, which does not change retroactively.
Visual plotting details
Each period has separate color settings for POC and dPOC, plus optional VAH and VAL with configurable line width and line style (solid, dashed, dotted).
Labels print the formatted level value using the symbol's minimum tick formatting, and for very large numbers the label shortens the text with K, M, B, T suffixes to keep labels readable.
Lines and labels are positioned to the right of price using the configured bar offsets. The script includes a safety limit on how far back the left anchor can be placed to avoid platform constraints when loading long history.
Alerts - touch and cross logic
Alerts are optional and can be configured per period and per level category.
You can enable:
TOUCH : triggers when the candle's low is at or below the level and the high is at or above the level (the bar range includes the level).
CROSS : triggers when the close crosses the level.
HIT is defined as TOUCH or CROSS.
You can choose to alert on:
Current running dPOC levels
Previous period POC and, if enabled, previous period VAH and VAL
Weekly, Monthly, Quarterly, Semi Annual, Yearly independently
How to interpret the plotted values
dPOC (W, M, Q, S, Y) : the current period's running POC estimate. It can move during the period and can shift more noticeably when the period range expands and a rebuild occurs.
POC (W, M, Q, S, Y) : the previous completed period's POC. This is fixed for the duration of the next period.
VAH / VAL (W, M, Q, S, Y) : the previous completed period's value area boundaries for the configured value area percentage.
A practical reading:
Previous POC and VA can be used as higher timeframe reference levels on lower timeframe charts because they summarize where volume concentrated over larger windows.
The current dPOC helps track where volume is concentrating inside the currently forming period.
Best use and workflow
Common ways to use these levels as references:
Use previous period POC and VA as context zones, then make lower timeframe decisions with your existing execution tools.
Treat dPOC as a live read of where the current period is building acceptance, and compare it to the fixed prior levels.
Use alerts to reduce screen time by being notified when price interacts with selected levels (touch or close cross).
Settings guidance:
Higher Profile levels increases detail but can be heavier on performance, especially when rebuilds occur.
If you need lighter computation on very active charts, reduce Profile levels or reduce Max rebuild bars.
If you want period boundaries to align with a specific session, adjust Session start offset.
Added value compared to free alternatives
This script focuses on a specific combination that is not always available together in simpler public indicators:
Simultaneous tracking of multiple higher time windows (weekly, monthly, quarterly, semi annual, yearly) with independent enable toggles and styling.
Side by side display of current running dPOC and previous completed period levels for each enabled window.
A candle range weighted volume distribution into bins, rather than assigning the entire bar volume to a single price proxy.
Built in alert conditions for touch and close cross across all supported windows and level types, so level interaction can be monitored without manual checking.
Label formatting that respects the symbol's tick size and shortens very large values for readability on indices and aggregates.
All supported periods are calculated using the same volume distribution model, the same binning logic, and the same rebuild rules. This ensures that weekly, monthly, quarterly, semi annual, and yearly levels are directly comparable to each other, unlike combining multiple separate indicators that may use different assumptions, aggregation methods, or update behavior. Using a single engine also enables consistent alert definitions and synchronized updates across all periods.
Disclaimers and where it can fall short
The volume at price distribution is an approximation derived from candle ranges and bar volume. It is not a true tick level volume profile, and results can differ from exchange native volume at price data.
On symbols where the reported volume is limited, synthetic, or not representative (some indices, some CFDs, some venues), the histogram is based on the volume series TradingView provides for that symbol, which may affect the usefulness of volume derived levels.
The current dPOC can change within the period and can jump when the period makes a new high or low, because a rebuild recalculates the histogram using the updated range.
Performance depends on timeframe, history loaded, Profile levels, and how often the period range expands. If you see slowness, reduce Profile levels or Max rebuild bars, or disable some periods.
This indicator plots reference levels only. It does not determine entries, exits, position sizing, or risk limits.
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
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# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
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### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
Volume Profile Visible Range (VPVR) with POC PriceThis script visualizes volume distribution for the bars currently visible on your chart, helping you identify key liquidity zones and high-traffic price levels.
Main Features:
・Dynamic Range: Recalculates automatically as you zoom or scroll.
・POC Price Label: Highlights the Point of Control (highest volume) with a clear price tag.
・Value Area (VA): Visually separates the most active trading zone (default 70%).
・Highly Flexible: Choose your preferred layout (Left or Right) and colors.
How to use:
1. Spot S/R Levels: Look for long bars (High Volume Nodes); these often act as strong support or resistance.
2. Monitor the POC: The Point of Control is a price magnet. Watch for reactions or retests at this level.
3. Low Volume Gaps: Price tends to move quickly through areas with very short volume bars.
[Greeny] RTH Only Naked VPOCWhat it does
Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches.
Key Features
One VPOC per trading day calculated from entire RTH session volume profile
RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight
Works on all timeframes - daily, hourly, or any chart timeframe
Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data)
Visual markers - small dash on origin bar shows where each VPOC was, even after being hit
Visual Guide
Yellow dashed line - Naked VPOC (not yet touched during RTH)
White dashed line - Hit VPOC (was touched during RTH)
Small dash on candle - POC origin marker
Settings
Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers.
RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time.
Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average).
Best For
ES/MES, NQ/MNQ futures traders
Mean reversion strategies using VPOC as support/resistance
Auction Market Theory practitioners
Anyone wanting clean RTH-only volume profile levels
Note on Contract Rollovers
When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Market Zones ProMarket Zones Pro
Market Zones Pro is an advanced, multi-timeframe market profile indicator built for professional traders who demand deep insight into market structure, volume distribution, and time-at-price dynamics. Its hybrid volume/time-weighted engine delivers real-time value areas, points of control, and proprietary extended levels — all in one clean, customizable overlay. This invite-only script distinguishes itself with original features like the Venom Pivots projection system, intelligent 80% Rule confirmation logic, and flexible stacked composite profiles that create long-term distribution views not available in standard tools.
Core Features & Concepts
• Hybrid Market Profile Engine Seamlessly blends volume-based and time-at-price (TPO) data — originally developed by J. Peter Steidlmayer in the 1980s — into a configurable hybrid mode (pure volume, pure time, or balanced). This creates robust, adaptive profiles that perform reliably across quiet sessions and high-volatility environments alike.
• Value Area & Point of Control (POC) The shaded value area captures one standard deviation of trading activity (~68% of total volume/time). The POC marks the price level with the highest concentration — widely regarded as the “fairest” price and a natural magnet for price action
• Virgin POCs (VPOCs) Prior POCs that price has not yet revisited. These untouched levels frequently act as powerful support or resistance, often producing stalls or reversals when finally tagged.
• Venom Pivots Proprietary extended support and resistance levels projected from the current value area dimensions. Up to six levels above and below provide harmonic targets: closer pivots (R1/S1) for short-term moves, farther ones for trend extensions
• 80% Rule Detection Automated implementation of the observation popularized by James Dalton : when price opens outside the value area and enters it, there is historically an ~80% probability of reaching the opposite side. The script intelligently distinguishes potential vs. confirmed states, handles breakout scenarios, and applies tailored confirmation logic
• Developing (Future) Value Areas Real-time projection of the current incomplete period’s value area, POC, and Venom levels — essential for intraday and swing traders.
• Stacked Composite Profiles Merges multiple completed periods into a single long-term histogram (e.g., 12 months = 1-year composite). Ideal for identifying persistent “shelves” and overall market distribution.
• High Volatility Warnings & Visual Zones Automatically flags compressed value areas that often precede explosive moves. Gradient zones outside the value area, up/down volume histograms, and multi-timeframe color coding provide instant visual context.
• Smart Alerts & Status Table Custom alerts for 80% Rule states, value area breakouts, VPOC touches, and volatility warnings — all with price levels included. A real-time status table offers an immediate position summary relative to key levels.
• Extensive Customization Over 50 inputs control visuals, labels, opacity, data modes, and session handling (regular + extended hours supported with accurate rollover alignment for futures and forex).
How to Use It
1. Add to chart → select desired Profile Timeframe (Auto or manual).
2. Enable Extended Trading Hours in chart settings for precise developing value areas on 24/7 instruments.
3. Interpret: range-trade inside the value area; look for trends on breaks; use VPOCs and Venom levels for entries/exits; follow confirmed 80% Rule signals for high-probability targets.
4. Leverage the status table for instant context and set rich alerts for live trading.
Why Market Zones Pro?
The unique combination of proprietary Venom projections, sophisticated 80% Rule logic, hybrid volume/time weighting, developing value areas, and flexible stacked composites delivers insights and automation far beyond conventional market profile indicators. Proven across diverse assets and timeframes (as shown in screenshots), it saves significant analysis time while providing clear, actionable edges.
Volume Cluster Profile [VCP] (Zeiierman)█ Overview
Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments.
Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print.
On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves.
█ How It Works
⚪ 1) Profile Construction (Volume-by-Price)
VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment):
Range Scan
The script finds the full min → max price range inside the window.
Bin the Range
That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation.
Accumulate Volume into Bins
For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin.
float step = (maxPrice - minPrice) / binsCount
for i = 0 to barsToUse - 1
int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1)
volBins += volume
Result: volBins becomes a standard volume-by-price histogram (close-based binning).
⚪ 2) Cluster Detection (Finding Dominant Peaks)
Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”:
Local Peak Test
A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right).
Filter Weak Peaks
Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise.
bool isPeak = v >= left and v >= right
if isPeak and v > avgVol
array.push(clusterIdxs, b)
Keep the Best Peaks Only
If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers
Result: clusterIdxs = the set of dominant profile peaks (cluster centers).
⚪ 3) Cluster Enhancement (Gaussian Spread Model)
This is what makes VCP different from a raw profile.
Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve:
Distance from each bin to each cluster center is computed in “bin units”
A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly.
Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones.
enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma))
volBinsAI := enhanced / szClFinal
Result: volBinsAI = the cluster-enhanced volume value for each bin.
In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram.
⚪ 4) POC from the Enhanced Profile
After enhancement:
The bin with the highest volBinsAI becomes the POC (Point of Control)
POC is plotted at the midpoint price of that bin
if volBinsAI > maxVol
maxVol := volBinsAI , pocBin := b
So the POC reflects the cluster-enhanced profile rather than the raw histogram.
█ How to Use
⚪ Read Cluster Structure (Default = 2 Clusters)
By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly.
⚪ When TWO Clusters Appear
When VCP detects two distinct clusters, it usually indicates:
Two competing areas of value
Ongoing auction between higher and lower acceptance zones
Treat each cluster as an acceptance zone
Expect slower price action and rotation inside clusters
Expect faster movement in the low-volume space between clusters
Use cluster-to-cluster movement as:
rotation targets
range boundaries
acceptance vs rejection tests
Typical behavior:
Price enters a cluster → stalls, consolidates, rotates
Price rejects at cluster edge → moves toward the opposite cluster
⚪ When ONLY ONE Cluster Appears
If VCP detects only one cluster, or if two clusters visually merge into one:
Volume is no longer split
The market has formed a single dominant value area
Price consensus is strong
Treat the cluster as the primary value anchor
Expect pullbacks and reactions around this zone
Bias becomes directional:
Above the cluster → bullish context
Below the cluster → bearish context
Inside the cluster → balance/chop
This structure often appears during clean trends or stable equilibria.
⚪ VA/LV Extensions
VCP projects two zones from the end of the most recent swing segment:
VA extension = the segment’s highest enhanced-volume bin (dominant zone)
LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone)
A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value.
█ Settings
Cluster Volume Profile
Lookback Bars – how many recent bars build the current profile
Price Bins – profile resolution (more bins = more detail, heavier CPU)
Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence
Max Cluster Centers – cap on detected peaks used in enhancement
Historical Swing Cluster Volume Profile
Pivot Length – swing sensitivity (larger = fewer, broader segments)
Max Profiles – how many historical segments to retain
Profile Width – thickness of each historical profile
High & Low Value Area
Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Daytrading Suite v6.4: Neon TPO + FVG + IB Lines (Stable)Here is the complete **Trading Manual & Strategy Guide** for the **Master Daytrading Suite (Neon + IB Edition)**.
This guide explains exactly **when** to trade and **how** to execute trades using the tools in the script.
---
# 📘 MASTER TRADING MANUAL (Neon + IB)
### 1. THE BASICS
* **Best Assets:** BTCUSDT & ETHUSDT (Futures).
* **Best Timeframe:** 5 Minutes (Entry) / 15 Minutes (Trend).
* **Key Session:** New York Session (High Volatility).
* **Golden Rule:** Never go **LONG** inside a Red Supply Zone. Never go **SHORT** inside a Green Demand Zone.
---
### 2. THE INDICATORS (Legend)
| Indicator | Color | Function | How to use |
| --- | --- | --- | --- |
| **Supply Zone** | 🟥 **Red Box** | Resistance | Look for Short setups here. |
| **Demand Zone** | 🟩 **Green Box** | Support | Look for Long setups here. |
| **Golden Pocket** | 🟧 **Orange** | Retracement | The "Sweet Spot" for trend entries (Fib 0.618). |
| **VWAP** | 🔵 **Blue Line** | Trend Anchor | Price > VWAP = Bullish. Price < VWAP = Bearish. |
| **Initial Balance (IB)** | 🟨 **Yellow Box** | Opening Range | Breakout above = Bullish. Breakdown below = Bearish. |
| **FVG (Gap)** | 🟩/🟥 **Tiny Box** | Trigger | **Green FVG** = Entry Signal for Longs. **Red FVG** = Entry Signal for Shorts. |
---
### 3. STRATEGY A: The Trend Pullback (High Win Rate)
*Use this when the market is trending smoothly.*
#### ✅ HOW TO ENTER A LONG (BUY) POSITION
1. **Trend Check:** Price is trading **ABOVE** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to drop back down (pullback).
3. **The Zone:** Price touches the **Green Demand Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Green FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Long. Stop Loss below the recent low. Take Profit at the next Red Zone.
#### 🔻 HOW TO ENTER A SHORT (SELL) POSITION
1. **Trend Check:** Price is trading **BELOW** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to rally up (pullback).
3. **The Zone:** Price touches the **Red Supply Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Red FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Short. Stop Loss above the recent high. Take Profit at the next Green Zone.
---
### 4. STRATEGY B: The IB Breakout (Volatility)
*Use this specifically after the first hour of the New York Session (approx. 10:30 NY time).*
* **The Setup:** Look at the **Yellow Box (Initial Balance)** which marks the high/low of the first hour.
* **Bullish Breakout:** If a candle closes **above** the Yellow Box + Price is above VWAP → **Go Long**.
* **Bearish Breakdown:** If a candle closes **below** the Yellow Box + Price is below VWAP → **Go Short**.
* **The Trap (Fakeout):** If price breaks out but immediately falls back inside the Yellow Box, close the trade immediately.
---
### 5. DAILY ROUTINE (Checklist)
1. **Open TradingView:** Switch to the **15m Chart**.
2. **Check Context:** Where are we? Are we near a big Red Box (Supply) or Green Box (Demand)?
3. **Check Trend:** Is price above or below the Blue VWAP line?
4. **Wait for the Open:** Let the first hour of New York pass (to form the Yellow IB Box).
5. **Set Alerts:** Right-click the chart and set alerts for "IB Breakout" or "Golden Pocket".
6. **Execute:** Switch to the **5m Chart** to find your entry trigger (FVG).
---
### 6. RISK MANAGEMENT RULES
* **Stop Loss:** NEVER trade without one. Place it just outside the FVG box or the Zone.
* **Risk per Trade:** 1% to 2% of your account maximum.
* **No Trade Zone:** If the price is "chopping" (moving sideways) inside the Yellow IB Box, **do not trade**. Wait for a breakout.
Point of Control [BigBeluga]🔵 OVERVIEW
Point of Control identifies the exact price level with the highest traded volume over a selected lookback period.
This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume.
The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action.
🔵 CONCEPTS
Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume.
Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration.
Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits.
PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor.
Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels.
🔵 FEATURES
Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC.
Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak.
Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance.
Adaptive Candle Coloring —
- Neutral → price inside PoC channel. Gray
- Bullish → price above PoC channel. Blue 🔵
- Bearish → price below PoC channel. Orange 🟠
Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference.
Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel.
Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness.
Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy.
🔵 HOW TO USE
Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level.
Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance.
Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution.
Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form.
Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity.
🔵 CONCLUSION
Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range.
It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
Adaptive Volume Profile [by Oberlunar]Adaptive Volume Profile of Oberlunar is built to solve a practical limitation I’ve found in many volume profile scripts: they don’t truly adapt to the chart’s visible range, so you lose readability when you zoom in for microstructure or zoom out for macro context.
This indicator stays usable across zoom levels, keeping the profile informative and visually consistent whether you’re studying fine detail or the bigger picture.
On top of that, it highlights something I’ve always wanted to read at a glance: how bullish vs bearish pressure behaves inside convex and concave volumetric structures — the bumps (high participation nodes - yellow area) and the bottlenecks (low participation nodes where price often travels fast - violet area).
You can quickly spot whether a bump is dominated by positive or negative flow, then zoom in to validate if the pressure is confirmed by subsequent price action. Missing this kind of clarity can easily lead to wrong assumptions and bad decisions — this tool is designed to make that read immediate and attractive.
Zoom In - Zoom Out example
For example, this is a "zoom in":
It looks bearish...
yeah... let's see the whole picture by a zoom out:
The bearish volumetric pressure is evident in the last bottleneck.
Bearish setup
Before
After
Bullish setup
Before
After
— Oberlunar 👁★
Volume Profile Lite [JOAT]
Volume Profile Lite — Simplified Volume-at-Price Analysis
Volume Profile Lite creates a histogram showing volume distribution across price levels using a proprietary lightweight calculation method. It identifies the Point of Control (POC), Value Area High, and Value Area Low—key concepts from auction market theory—in an optimized, easy-to-read format that won't slow down your charts.
Why This Script is Protected
This script is published as closed-source to protect the proprietary volume distribution algorithm and the optimized Value Area calculation methodology from unauthorized republishing. The specific implementation of volume allocation across price rows, the buy/sell volume separation logic, and the efficient POC detection system represents original work that provides a unique lightweight alternative to standard volume profile implementations.
What Makes This Indicator Unique
Unlike heavy volume profile indicators that can slow down charts, Volume Profile Lite:
Uses an optimized algorithm designed for performance
Separates buying and selling volume for additional insight
Provides clean visual presentation without chart clutter
Includes extending reference lines for key levels
Features a dashboard with price position relative to POC
What This Indicator Does
Distributes volume across price rows to create a visual profile histogram
Identifies the Point of Control (highest volume price level)
Calculates Value Area (where specified percentage of volume traded)
Separates buying and selling volume for each price level
Extends key levels as reference lines on the chart
Highlights the POC row with a distinct border
Core Methodology
The indicator uses a proprietary approach to volume-at-price analysis:
Price Row Division — The lookback range is divided into configurable price rows (default: 24 rows)
Volume Distribution — Each bar's volume is allocated to the price rows it touches. If a bar spans multiple rows, volume is distributed proportionally.
Buy/Sell Separation — Volume is classified based on bar direction (close >= open = buying volume, close < open = selling volume)
POC Detection — The row with maximum accumulated volume is identified as the Point of Control
Value Area Calculation — Starting from POC, expands outward (alternating up and down) until target volume percentage is captured
Key Concepts Explained
Point of Control (POC) — The price level with the highest volume concentration. Often acts as a magnet for price and represents "fair value" for the analyzed period. Price tends to return to POC.
Value Area High (VAH) — Upper boundary of the value area zone. Acts as resistance when price is below, support when price is above.
Value Area Low (VAL) — Lower boundary of the value area zone. Acts as support when price is above, resistance when price is below.
Value Area — Price range containing specified percentage (default 70%) of total volume. This is where most trading activity occurred.
Visual Features
Volume Histogram — Horizontal bars showing volume at each price level
Buy/Sell Coloring — Green portions show buying volume, red shows selling volume
POC Highlight — The POC row has a distinct orange border and fill
POC Line — Horizontal line extending from POC (optional extension to right)
Value Area Lines — Dashed blue lines at VAH and VAL
Value Area Fill — Subtle blue fill between VAH and VAL
Color Scheme
Up Volume Color — Default: #26A69A (teal) — Buying volume
Down Volume Color — Default: #EF5350 (red) — Selling volume
POC Color — Default: #FF9800 (orange) — Point of Control
Value Area Color — Default: #2196F3 (blue) — VAH/VAL lines and fill
Dashboard Information
The on-chart table (bottom-right corner) displays:
POC price level
Value Area High price level
Value Area Low price level
Current price position relative to POC (ABOVE POC, BELOW POC, or AT POC)
Distance from current price to POC as percentage
Inputs Overview
Calculation Settings:
Lookback Period — Number of bars to analyze (default: 100, range: 20-500)
Number of Rows — Price level divisions for the profile (default: 24, range: 10-50)
Value Area % — Percentage of volume for value area calculation (default: 70%, range: 50-90%)
Visual Settings:
Up/Down Volume Colors — Customizable buy/sell colors
POC Color — Point of Control highlighting
Value Area Color — VAH/VAL line and fill color
Profile Width — Visual width of histogram in bars (default: 30, range: 10-100)
Show POC Line — Toggle POC horizontal line
Show Value Area — Toggle VAH/VAL lines and fill
Show Dashboard — Toggle the information table
Extend Lines — Project POC and VA lines further right
How to Use It
For Support/Resistance:
Use POC as a potential support/resistance reference point
Price often gravitates back to POC (mean reversion)
VAH acts as resistance when approaching from below
VAL acts as support when approaching from above
For Trend Analysis:
Price above POC suggests bullish control
Price below POC suggests bearish control
Breaking out of Value Area often leads to trending moves
Returning to Value Area suggests failed breakout
For Entry/Exit:
Enter longs near VAL with stops below
Enter shorts near VAH with stops above
Target POC for mean-reversion trades
Use POC as a trailing stop reference in trends
Alerts Available
VPL Cross Above POC — Price crosses above Point of Control
VPL Cross Below POC — Price crosses below Point of Control
VPL Cross Above VAH — Price breaks above Value Area High
VPL Cross Below VAL — Price breaks below Value Area Low
Best Practices
Use longer lookback periods for more significant levels
Increase row count for more precise level identification
POC from higher timeframes is more significant
Combine with other indicators for confirmation
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Daytrading Suite: Neon TPO + FVG v6.1Here is the summary of the code and the trading guide in English.
---
### 1. Code Summary: What does the chart show?
The script combines three dimensions of trading into a single chart:
* **The Context (TPO / Market Profile - Yesterday):**
* **Gold Zone (Center):** Yesterday's **POC (Point of Control)**. This was the "fairest price". It often acts as a magnet.
* **White Dashed Lines:** The **VAH (Value Area High)** and **VAL (Value Area Low)**. Yesterday, 70% of all trading volume happened between these lines. This is the area of "Balance".
* **The Structure (HTF - 1 Hour+):**
* **Red/Green Boxes (Right Edge):** Automatic **Supply & Demand Zones** based on the 1-hour chart (or your setting). They indicate major resistance and support levels.
* **The Timing (Entries):**
* **Neon FVG Boxes (Small):** "Fair Value Gaps". These represent imbalances in price. If price revisits these, it is often your **entry signal**.
* **Lines (VWAP, EMA, PDH/PDL):** Act as dynamic support and trend indicators.
---
### 2. Trading Strategy: How to use it
Do not just trade every colored spot. You must combine **Location (TPO)** with **Signal (FVG)**.
#### Step A: The Open (Where are we?)
In the morning (or at the US Open), check where the price is relative to the **white TPO lines**.
1. **Inside the White Lines (In Balance):**
* The market is undecided. Expect ranging/choppy behavior.
* **Strategy:** Buy at the bottom edge (VAL), Sell at the top edge (VAH). The target is often the Gold Zone (POC) in the middle.
2. **Outside the White Lines (Imbalance):**
* The market is seeking new prices. Danger of a Trend!
* **Strategy:** If price breaks above VAH and tests it from above -> **Long**. If it breaks below VAL -> **Short**.
#### Step B: The Setup (The High Probability Scenario)
Here is the "Rejection" Setup (Long Example):
1. Price drops to the lower white line (**VAL**) or into a green **Demand Zone**.
2. It bounces (shows a wick).
3. In the process, a small **green Neon FVG** is formed.
4. **Entry:** Limit Order at the top of the Neon FVG.
5. **Target:** The Gold Zone (POC) or the upper white line (VAH).
6. **Stop Loss:** Below the recent swing low.
#### Step C: Warning Signals (When NOT to trade)
* **In "No Man's Land":** If the price is sitting right in the middle between Gold (POC) and White (VAH/VAL), do nothing. The risk is 50/50. Wait until price hits an edge.
* **Against the Flow:** If EMA 9 and 21 are pointing steeply downwards, do not buy blindly at the VAL just because the line is there. Wait for confirmation (FVG).
### Pre-Trade Checklist:
1. **Level:** Am I at a white line (VAH/VAL) or the Gold Zone (POC)?
2. **Structure:** Do I have an HTF Demand/Supply Zone backing me up?
3. **Trigger:** Do I see a Neon FVG pointing in my direction?
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
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.
