Daily Range Exhaustion - ADR Probability MapAn intraday trader spends the whole session asking one question without ever measuring it: is there still room left in this move, or is the day already finished. Daily Range Exhaustion measures it.
The script records the completed range of every past day on the symbol you have open, and uses that sample to answer four things about the day in progress.
HOW MUCH OF THE DAY IS SPENT
Today's range is compared against the average daily range of the last 5, 10 or 20 days. The panel shows the result as a percentage. At 40 percent the day still has room in either direction. At 110 percent the day has already delivered more than an ordinary day and every further extension is, statistically, an outlier rather than the base case. The chart background tints once 100 percent is passed.
WHERE A FULL DAY COULD STILL REACH
Two levels are drawn:
Upside projection, today's low plus the average daily range. This is the highest point a statistically ordinary day could still print without becoming unusual.
Downside projection, today's high minus the average daily range.
Both compress as the session develops. Early in the day they sit far apart. By the afternoon they have squeezed toward price, and the distance left to each one is exactly the room the day has left. The shaded areas between price and each projection are that remaining room, made visible.
THE ODDS OF EXTENDING ANYWAY
Ranges are not a hard ceiling, so the panel reports how often the ceiling actually broke. Three lines show the share of past days whose range exceeded 100, 125 and 150 percent of the current average. On most liquid instruments roughly a quarter to a third of days exceed 100 percent, but far fewer reach 150 percent. Those numbers are the honest context for the exhaustion reading: they tell you whether a stretched day is rare or routine on this particular symbol.
WEEKDAY BREAKDOWN
A single average across all days hides a real effect. Many instruments have a quiet Monday and a violent Thursday, and judging Monday against a blended average will make it look exhausted when it is behaving normally. The panel breaks the sample down by weekday, shows the average range of each one, and expresses it as a percentage of the overall average. Today's weekday is highlighted.
HOW TO USE IT
As a filter on entries. Taking a fresh breakout when the day has already spent 120 percent of its average range is a different trade from taking the same breakout at 45 percent. The setup may be identical, the room available is not.
As target context. If the upside projection is 12 points away and your target is 30 points, the day would have to become a statistical outlier for that target to fill.
As mean reversion context. A day that hits the projection level and stalls has, by definition, reached the edge of its usual distribution.
As session planning. Check the weekday row before the session opens to know whether to expect a wide day or a narrow one.
NOTES ON THE DATA
The sample is built from the chart itself, so it needs history loaded. The panel shows a Building sample message and stays hidden until the minimum day count is reached, rather than showing statistics based on six observations.
Only intraday timeframes are supported. On a daily chart or higher the concept has no meaning, and the panel says so instead of printing misleading numbers.
Older days are dropped once the sample cap is reached, so the statistics follow the current volatility regime instead of averaging in a market from two years ago.
Days are bounded by the exchange session of the symbol. On instruments that trade nearly around the clock the day boundary is a convention, not a natural break, which slightly inflates the ranges of days that straddle a rollover.
WHAT IT IS NOT
There are no entry or exit signals here, and none are planned. This is context. A completed range is not a reversal signal, and an unfinished range is not a reason to expect continuation. Trends routinely spend two or three average ranges in a session, which is precisely why the extension odds are shown rather than hidden.
This is an analysis tool, not financial advice. Past distributions do not guarantee future ones. Use it alongside your own risk management and position sizing. Indicator
Volume Flow Matrix Pro [Forex_Market_Insights]Volume Flow Matrix Pro
Volume Flow Matrix Pro is a comprehensive professional volume-flow analysis indicator designed to help traders understand the relationship between price movement, trading volume, market participation, liquidity concentration, and buying versus selling pressure. Instead of looking only at candles or traditional volume bars, this indicator transforms historical price and volume data into a complete market activity framework that allows traders to better understand how the market is behaving beneath the surface.
Financial markets are driven by the continuous interaction between buyers and sellers. Every price movement occurs because one side becomes stronger than the other. Traditional indicators generally focus on price itself, but they often do not explain why the price moved or where the strongest participation occurred. Volume Flow Matrix Pro was developed to bridge that gap by combining several advanced volume analysis techniques into one integrated PulseWire indicator.
The goal of this indicator is not simply to display volume—it is to organize market information into an intuitive visual structure that helps traders identify areas of heavy participation, measure buying and selling pressure, evaluate market strength, and recognize important price levels where the market has historically accepted or rejected value.
Why Volume Flow Matrix Pro Was Created
Most traders rely heavily on indicators such as Moving Averages, RSI, MACD, or traditional Volume. While these tools are useful, they often leave important questions unanswered.
For example:
Why did the breakout fail?
Why did price reverse from a specific level?
Where were buyers actually strongest?
Where were sellers most aggressive?
Which price levels attracted the highest trading activity?
Which areas represent fair market value?
Is the current trend supported by strong participation or weak volume?
Answering these questions usually requires several separate indicators.
Volume Flow Matrix Pro was created to simplify this process by combining multiple professional volume-analysis concepts into one complete analytical environment. Instead of switching between different tools, traders can evaluate volume distribution, buying and selling pressure, market balance, liquidity concentration, and price acceptance directly from a single indicator.
The objective is to help traders make more informed decisions by understanding how market participants interact with price, rather than relying on price movement alone.
How the Indicator Works
The indicator continuously analyzes historical price and volume data over a configurable lookback period.
Whenever supported by PulseWire, it also uses lower timeframe (intrabar) information to estimate how buying and selling activity occurred inside each higher timeframe candle. This produces a more detailed representation of market participation compared to standard volume indicators.
The collected volume is distributed across multiple price levels to build an estimated Volume Profile. Rather than assigning all volume to a single closing price, the script distributes activity across the candle's trading range, creating a more balanced representation of where trading actually occurred.
Using this processed information, the indicator calculates and displays several important analytical components including:
Volume Profile
Point of Control (POC)
Value Area High (VAH)
Value Area Low (VAL)
High Volume Nodes (HVN)
Low Volume Nodes (LVN)
Estimated Buy Volume
Estimated Sell Volume
Delta
Cumulative Volume Delta (CVD)
Quantity Labels
Volume Flow Dashboard
Flow Ladder
Market Pressure
Liquidity Estimation
All of these components work together to provide a broader understanding of market participation.
Volume Profile
The Volume Profile visualizes how much trading activity occurred at each price level during the selected lookback period.
Unlike ordinary volume bars shown below the chart, the profile is displayed directly beside price, making it much easier to identify where the market spent the most time and where significant trading activity accumulated.
Wider profile sections indicate greater participation, while narrower areas indicate relatively low trading activity.
This information helps traders recognize:
High-interest price zones
Low-interest price zones
Price acceptance
Price rejection
Potential support and resistance
Buy and Sell Volume Distribution
One of the key features of the indicator is the separation of estimated Buy Volume and Sell Volume.
Instead of displaying only total volume, the script estimates how much volume was associated with buying activity and how much with selling activity.
This allows traders to evaluate whether buyers or sellers were more aggressive at specific price levels and provides additional insight into the underlying market balance.
Point of Control (POC)
The Point of Control represents the price level with the highest traded volume within the selected analysis range.
Since this level reflects the greatest concentration of market participation, it often acts as an important reference point where price may react, consolidate, or revisit.
Many traders monitor the POC as a potential area of support, resistance, or fair market value.
Value Area
The indicator automatically calculates the Value Area High (VAH) and Value Area Low (VAL), representing the price range containing the majority of traded volume.
These levels help traders understand where the market considered price to be relatively balanced during the selected period.
Price moving outside the Value Area may indicate changing market sentiment, while movement back into the Value Area can suggest a return toward equilibrium.
High Volume Nodes (HVN)
High Volume Nodes represent areas where unusually large amounts of trading activity accumulated.
These zones often become important market reference levels because they indicate areas where buyers and sellers were highly active.
Price frequently pauses, consolidates, or reacts around High Volume Nodes.
Low Volume Nodes (LVN)
Low Volume Nodes represent price levels where comparatively little trading occurred.
These areas are often associated with faster price movement because relatively little historical participation exists there.
Markets sometimes move rapidly through LVNs before slowing again at higher participation zones.
Quantity Labels
The indicator can display estimated Buy Volume, Sell Volume, and Delta values directly on recent candles.
These labels allow traders to compare participation from one candle to another without opening additional windows.
Large positive values suggest stronger buying participation, while larger negative values suggest stronger selling activity.
Cumulative Volume Delta (CVD)
The script maintains a running Cumulative Volume Delta, allowing traders to observe longer-term shifts in buying and selling pressure.
CVD can be useful when comparing overall market participation against price movement and may help identify potential divergence between price action and underlying volume behavior.
Volume Flow Dashboard
A professional dashboard summarizes the most important analytical information in one place.
The dashboard includes:
Point of Control
Value Area
Buy Volume
Sell Volume
Bar Delta
Cumulative Volume Delta
Market Pressure
Market Bias
Intrabar Status
Volume Dominance
Flow Strength
Data Source
Profile Quality
Rather than manually interpreting multiple visual components, traders can quickly evaluate the current market condition from a single information panel.
Flow Ladder
The Flow Ladder provides a structured representation of estimated liquidity around the current market price.
For each visible price level it displays:
Price
Estimated volume
Relative depth
This allows traders to quickly recognize where stronger participation appears to be concentrated.
The Flow Ladder complements the Volume Profile by providing an organized view of estimated volume distribution around the active trading area.
Practical Applications
Volume Flow Matrix Pro can be used for many different trading approaches including:
Identifying high-volume support and resistance.
Confirming breakout strength.
Detecting weak breakouts.
Measuring buying versus selling pressure.
Finding potential reversal zones.
Identifying areas of market acceptance.
Recognizing liquidity concentration.
Improving trade confirmation.
Understanding market participation.
Enhancing overall market context before entering trades.
Because the indicator focuses on market participation rather than fixed technical rules, it can be applied across multiple trading styles and timeframes.
Markets Supported
Volume Flow Matrix Pro can be used on:
Forex
Commodities
Stocks
Indices
Cryptocurrency
Futures
It supports both intraday and higher timeframe analysis depending on the trader's preferred workflow.
Important Information
The calculations performed by the indicator are based on historical price and volume information available through PulseWire.
Where supported, lower timeframe data is incorporated to improve the estimation of buying and selling activity within each candle.
Some displayed metrics are statistical estimations designed to assist market analysis rather than direct measurements obtained from exchange infrastructure.
Verification
Volume Flow Matrix Pro is an original Pine Script indicator independently researched, designed, programmed, and developed by Forex_Market_Insights.
Every major component of this indicator—including its calculation methodology, dashboard design, visualization system, volume profile engine, flow ladder, market participation analysis, feature integration, user interface, and overall analytical workflow—has been developed specifically for this project. The indicator was built to provide traders with a professional yet practical framework for analyzing volume behavior, liquidity distribution, and market participation within the capabilities of PulseWire.
Developer Clarification — Forex_Market_Insights
Volume Flow Matrix Pro is the result of independent development by Forex_Market_Insights. This publication is not a copy, clone, re-upload, or lightly modified version of another PulseWire script. No copyrighted Pine Script source code, proprietary implementation, protected visual assets, or private algorithms from another developer have been copied, reverse-engineered, decompiled, or incorporated into this project.
The indicator uses well-established market concepts such as Volume Profile, Point of Control (POC), Value Area (VAH/VAL), Delta Analysis, Cumulative Volume Delta (CVD), High Volume Nodes (HVN), Low Volume Nodes (LVN), and Buy/Sell Volume estimation. These are widely recognized analytical methodologies used throughout the trading industry and are not exclusive intellectual property of any single developer. The way these concepts are calculated, integrated, organized, and presented in Volume Flow Matrix Pro represents the developer's own implementation and original work.
Furthermore, this indicator does not provide a real Level II exchange order book or live resting bid/ask data. PulseWire Pine Script does not have access to institutional Level II market depth or exchange order book feeds. Therefore, all displayed metrics—including the Volume Profile, Flow Ladder, liquidity estimates, Buy/Sell Volume, Delta, CVD, Market Pressure, and related analytical values—are derived from historical price and volume data, with enhanced lower-timeframe (intrabar) analysis where available. These outputs are intended to provide an advanced analytical estimation of market participation rather than a direct representation of exchange order flow.
This indicator has been published in good faith as an original analytical tool and is intended to comply with PulseWire's House Rules regarding originality, independent development, intellectual property, and responsible publication practices. It was created exclusively by Forex_Market_Insights to help traders better understand volume behavior, liquidity concentration, and market participation within the technical capabilities of the PulseWire platform. Indicator
Live Market Probability Matrix ProLive Market Probability Matrix Pro
Live Market Probability Matrix Pro is an advanced Pine Script® v6 indicator developed to provide a real-time probability-based view of market strength, momentum, trend direction, and overall buying versus selling pressure in a single visual dashboard.
Unlike traditional indicators that rely on only one calculation such as RSI, MACD, or Moving Averages, this indicator combines multiple market components into a unified probability engine that continuously evaluates live market conditions and displays them in an easy-to-read visual format.
The purpose of this indicator is to simplify market analysis by converting complex market data into a dynamic probability system that helps traders understand which side of the market currently has stronger control, how confident that control is, and whether the existing trend has enough strength to continue or weaken.
This indicator was designed for traders who prefer visual market analysis instead of interpreting multiple separate indicators.
Why This Indicator Was Created?
Most trading indicators only measure one aspect of the market.
For example:
• RSI measures momentum.
• ATR measures volatility.
• Volume measures participation.
• Moving averages measure trend.
• Structure analysis measures swing direction.
However, professional traders rarely make decisions based on only one indicator.
The market is driven by multiple factors simultaneously.
This indicator was created to combine several important market components into one intelligent probability model that continuously updates as new candles are formed.
Instead of forcing traders to switch between several indicators, all important information is displayed in one organized interface.
Live Market Probability Engine
The core of this indicator is its probability engine.
Every incoming candle updates multiple internal calculations including trend strength, momentum, volatility, structure, candle behavior, relative volume, and directional pressure.
These values are blended together to estimate which side currently has greater probability of controlling price.
Rather than giving random Buy or Sell labels, the indicator continuously measures changing market conditions.
As market conditions improve for buyers, bullish probability increases.
As selling pressure strengthens, bearish probability increases.
The calculations update automatically with every new candle.
Dynamic Bullish & Bearish Probability Circles
One of the most distinctive features of this indicator is the pair of dynamic circular probability diagrams displayed near the end of the chart.
These circles visually represent:
• Bullish Strength
• Bearish Strength
Their size changes dynamically according to the calculated probabilities.
When bullish pressure dominates, the bullish circle becomes larger while the bearish circle contracts.
When sellers gain control, the bearish circle expands while the bullish circle becomes smaller.
Above each circle, the current live probability percentage is displayed, allowing traders to quickly identify the dominant market side without reading numerical data.
This creates an intuitive visual representation of market sentiment.
Dynamic Buy & Sell Strength Bars
Below the circular probability diagrams, the indicator displays two vertical strength bars.
These bars represent:
• Buy Strength
• Sell Strength
The height of each bar changes continuously based on the current market probability.
Higher bars indicate stronger participation from that side of the market.
Lower bars indicate weakening pressure.
Because the bars update in real time, traders can instantly see whether buying or selling momentum is increasing or fading.
Live Probability Dashboard
A fully integrated dashboard is displayed in the corner of the chart.
The dashboard provides continuously updated information including:
• Overall Probability
• Bull Strength
• Bear Strength
• Trend Score
• Momentum Score
• Volatility Score
• Volume Score
• Structure Score
• Candle Score
• Moving Average Score
• Market State
• Current Trend
• Current Bias
• Overall Signal
• Buy Probability
• Sell Probability
• ATR
• Volume Status
Every value is recalculated automatically as new market data becomes available.
This gives traders a complete snapshot of current market conditions without needing multiple separate indicators.
Trend Analysis
The indicator continuously analyzes market direction.
Instead of only identifying whether price is moving higher or lower, it also evaluates the quality of the trend.
Factors such as higher highs, lower lows, directional consistency, and price progression contribute to the trend score.
A stronger trend produces higher confidence within the probability engine.
Weak or sideways markets naturally reduce overall confidence.
Momentum Evaluation
Momentum measures the speed and strength of price movement.
Rapid directional movement increases momentum scores.
Slowing momentum gradually reduces bullish or bearish confidence.
This helps traders distinguish between healthy trends and exhausted moves.
Volatility Measurement
Volatility is monitored continuously.
Periods of expanding volatility often indicate increasing participation and stronger price movement.
Low volatility environments generally produce lower conviction because price lacks directional energy.
The volatility score contributes to the overall probability calculation.
Volume Analysis
The indicator also evaluates relative trading volume.
Higher participation generally strengthens confidence in directional movement.
Lower participation reduces confidence because fewer market participants are supporting the move.
The volume score helps improve the overall quality of the probability model.
Market Structure Analysis
Price structure remains one of the most important components of technical analysis.
The indicator evaluates recent swing highs, swing lows, trend progression, and structural consistency.
Healthy bullish structure increases bullish confidence.
Healthy bearish structure increases bearish confidence.
Structural weakness reduces probability.
Candle Strength Analysis
Individual candle characteristics are also evaluated.
The indicator analyzes factors such as:
• Candle body size
• Wick proportion
• Closing strength
• Directional conviction
Stronger candles contribute more positively to probability calculations than weak or indecisive candles.
Overall Market State
After combining all internal calculations, the indicator determines the current market condition.
Possible conditions may include:
Trending
Ranging
Neutral
Transition
These classifications help traders understand the broader context before making trading decisions.
Overall Signal
The Overall Signal summarizes the combined output of all analytical components.
Depending on market conditions, it may indicate:
Bullish
Bearish
Neutral
Since this result is generated using multiple independent calculations rather than a single indicator, it provides a broader view of current market sentiment.
Works on All Markets
The indicator is designed to work across all PulseWire-supported markets, including:
• Forex
• Gold
• Silver
• Cryptocurrency
• Indices
• Commodities
• Futures
• CFDs
Because the calculations are based on price behavior and market activity, the indicator can adapt to different asset classes.
Compatible with All Timeframes
The indicator functions across all PulseWire timeframes.
Examples include:
• 1 Minute
• 3 Minutes
• 5 Minutes
• 15 Minutes
• 30 Minutes
• 1 Hour
• 4 Hour
• Daily
• Weekly
Lower timeframes provide faster updates for intraday trading, while higher timeframes offer a broader view of market conditions.
Typical Workflow
A common way to use this indicator is:
Observe the Bullish and Bearish probability circles.
Compare Buy and Sell strength bars.
Review the dashboard scores.
Identify the current market state.
Confirm whether multiple components align in the same direction.
Combine the information with your own trading strategy, market structure analysis, and risk management before making any trading decisions.
Key Features
✔ Live probability engine
✔ Dynamic Bullish probability visualization
✔ Dynamic Bearish probability visualization
✔ Real-time percentage calculations
✔ Adaptive probability circles
✔ Dynamic Buy & Sell strength bars
✔ Live market dashboard
✔ Trend analysis
✔ Momentum analysis
✔ Volatility analysis
✔ Relative volume evaluation
✔ Market structure analysis
✔ Candle strength scoring
✔ Market state classification
✔ Overall probability calculation
✔ Supports all PulseWire markets
✔ Compatible with all timeframes
✔ Lightweight visual interface
Important Note
This indicator is designed as a probability-based market analysis and visualization tool. It does not predict future price movements, guarantee profitable trades, or provide financial advice. The displayed probabilities represent analytical estimates derived from multiple technical components and are intended to help traders better understand current market conditions. For best results, this indicator should be used alongside your own technical analysis, trading plan, and disciplined risk management.
Originality & Author Verification
Live Market Probability Matrix Pro is an original Pine Script® v6 indicator independently designed, developed, and authored by Forex_Market_Insights. The concept, probability model, dashboard design, visualization system, scoring methodology, and implementation are based on the author's own research and development. No proprietary or copyrighted code has been copied or reused from third-party scripts. This publication is intended to comply with PulseWire House Rules by accurately describing the indicator's functionality and acknowledging its original authorship. Indicator
Schrodinger Zone Probability [JOAT]SCHRÖDINGER ZONE PROBABILITY
The most quantitatively ambitious indicator in the JOAT suite. Detects Fair Value Gaps and Order Blocks the way a serious SMC engine should — and then, before they are touched, treats each one as a superposition zone with two simultaneous probabilities: P_S (the probability it will act as Support when revisited) and P_R (the probability it will act as Resistance). The two probabilities sum to one. The zone exists in a superposition of both states until price actually touches it; at that moment the wavefunction collapses to a single classical state — S or R — driven by the bars-after-touch confirmation logic. Then the script tags the zone with the committed direction and archives the collapse.
Detection — FVGs and OBs done properly
Two independent zone types feed the superposition engine:
Fair Value Gaps — the standard 3-candle imbalance definition, ATR-filtered (minimum gap = configurable × ATR, default 0.30×) so only meaningful gaps qualify. Bull and bear FVGs both detected.
Order Blocks — three methods exposed:
Last Opposite — latest opposite-color candle before displacement.
Extreme Opposite — most extreme (lowest low / highest high) candle in the walk-back window.
Strict Volume — Last Opposite filtered by volume above MA.
Displacement (the move that creates the zone) requires a body of displacement ATR multiple × ATR (default 1.20×). A configurable walk-back window controls how far back to search for the OB origin. Configurable mitigation rule (Wick = any pierce, Close = bar must close beyond).
The headline math — three-factor superposition probability
The collapse probabilities P_S / P_R are computed as a weighted blend of three orthogonal factors:
Distance factor — distance from current price to the zone, decayed exponentially with a configurable half-life in ATR units (default 2.0 ATR). Closer zones have higher commit probability.
Direction factor — which side of the zone current price is on. Above the zone leans the read toward Support collapse; below leans toward Resistance.
Flow factor — EMA-slope alignment over a configurable flow window (default 20 bars). Bullish flow biases toward Support; bearish flow biases toward Resistance.
Each factor's weight is independently tunable. Defaults (0.45 distance / 0.30 direction / 0.25 flow) are the script's institutional calibration. The output is two probabilities that sum to 1.
A zone with P_S ≈ P_R ≈ 0.5 is in pure superposition — the model is genuinely undecided. A zone with P_S = 0.85 / P_R = 0.15 is in a state nearly committed to Support; the wavefunction has already partly collapsed.
Wavefunction collapse — the engine's headline event
When price enters the zone within a configurable touch tolerance (default 0.05 × ATR slack) and holds inside for the configurable holdBars window (default 3 bars), the zone collapses to a single classical state:
Collapse to S — price bounced; the zone acted as Support. Marker prints "(+)→S" at the centroid.
Collapse to R — price was rejected from the other side; the zone acted as Resistance. Marker prints "(+)→R".
A configurable connector line is drawn at the committed level. Collapsed zones are optionally archived (default ON) so the chart shows the full history of how superpositions resolved.
Visual system — superposition rendering
Vertical gradient fill — each zone is rendered as a stack of N sub-boxes (configurable, default 8 slices) with progressive transparency, creating a vertical gradient that visually communicates "high probability of support at the bottom of the zone, high probability of resistance at the top". This is the script's signature visual.
Glow border — configurable glow intensity; becomes thicker when uncertainty is high (P_S ≈ P_R).
Animated superposition pulse — for zones in pure superposition (P ≈ 0.5), transparency oscillates with bar_index to indicate undecided state. Configurable period and amplitude.
Probability labels — P_S / P_R values printed on each active zone.
Zone type tags — FVG_BU, FVG_BE, OB_BU, OB_BE so origin is unambiguous.
Collapse markers — fancy glyphs (+)→S / (+)→R or plain S / R, configurable.
Show-only-superposition mode — hide collapsed and archived zones for a minimalist view.
Right extension — zones project a configurable number of bars to the right.
A locked institutional palette (cyan-teal bull / magenta bear) gives the chart a distinctive quantum-finance identity.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Active superposition zone count and archived count.
Nearest zone with its P_S / P_R values and distance.
Last collapse direction with bars-ago.
Current flow direction.
Detection thresholds and weights in use.
Mitigation rule.
Alerts
Multiple alert conditions:
New Superposition Zone Created (FVG or OB)
Collapse to Support
Collapse to Resistance
Approaching Zone (within collapse-touch tolerance)
High-Uncertainty Zone formed (P_S ≈ P_R ≈ 0.5)
How to read it
Three reads, in order of conviction:
Collapse alert with extreme one-sided probability — e.g. a zone with P_S = 0.85 collapses to S. The model was confidently pointing at one outcome, and the market confirmed it. The highest-conviction confluence read the script produces.
Approaching a zone with sharp probability bias — when P_S or P_R is dominant before touch, the model is committed to one direction. Position toward the dominant side; if the collapse confirms, you are in early.
High-uncertainty zone (P ≈ 0.5) — stand-aside signal. The model is genuinely undecided; trade only with strong external confluence (HTF structure, news flow) or skip the zone entirely.
Suggested settings
Defaults (FVG ATR 0.30×, displacement 1.20×, OB Last-Opposite, 15-bar walk-back, weights 0.45 / 0.30 / 0.25, half-life 2.0 ATR, 3-bar hold) are tuned for 15m–4H on liquid markets. For lower timeframes drop displacement to 1.0× and hold to 2. For HTF raise FVG ATR to 0.50× to keep only large gaps. The weights are calibrated together — change one and the others rebalance the probabilities; experimenting with the weights is a legitimate way to specialise the script to your instrument.
Originality
The implementation — the dual-source zone detector (FVG + OB) with three OB methods, the three-factor probability blend (distance / direction / flow) with independent weights, the exponential ATR-halflife distance decay, the touch-with-hold collapse-confirmation state machine, the vertical-gradient zone render using N stacked sub-boxes, the uncertainty-modulated glow border, the animated superposition pulse for high-uncertainty zones, the archive-on-collapse logic, and the dashboard's probability-aware layout — is JOAT-original. No third-party code reused. The Schrödinger framing (superposition → collapse) is the original conceptual contribution; the math is purpose-built.
Limitations
The "probability" output is a heuristic blend of three factors that historically correlate with which side a zone acts as — it is a ranked confidence, not a true Bayesian posterior. The factor weights are exposed precisely because no single weighting is universally correct. The collapse confirmation requires the holdBars window to elapse, so collapse markers lag the actual touch by that window (intentional — single-bar pierces should not commit a zone). The animated pulse for high-uncertainty zones is purely visual.
-made with passion by jackofalltrades
Indicator
Indicator
volume profil multitimeframe**Volume Profile D/W/M — Auction Map**
Volume Profile D/W/M is a visual auction-analysis indicator designed to display confirmed Daily, Weekly, or Monthly volume profiles on the chart. It focuses on value areas, volume concentration, auction structure, and important reaction zones. The script is intended for discretionary market analysis and does not generate automatic buy or sell signals.
---
## Overview
This indicator builds a volume profile from a selected confirmed period:
* Daily
* Weekly
* Monthly
Only one mode is active at a time. The goal is to keep the chart readable while still showing the most important auction levels.
The profile highlights where volume was concentrated during the selected period and displays key levels such as POC, VAH, VAL, HVN, LVN, VWAP, Initial Balance, naked POC levels, imbalance zones, confluence zones, and auction-state information.
---
## Main Features
### Confirmed Volume Profile
The script draws confirmed profiles from closed periods. This makes historical profiles stable and prevents them from constantly changing after the period has closed.
Available profile modes:
* Daily profile
* Weekly profile
* Monthly profile
The current developing profile can also be displayed with the dedicated option, but it should be understood as a live preview and not as a confirmed profile.
---
### POC, VAH and VAL
The script displays the main volume profile levels:
* POC: the price row with the highest volume
* VAH: upper boundary of the value area
* VAL: lower boundary of the value area
These levels are used to read market acceptance, rejection, rotation, and possible return-to-value behavior.
---
### HVN and LVN
The script can highlight:
* HVN: high-volume nodes, where the market accepted price
* LVN: low-volume nodes, where price often moved quickly or found less acceptance
HVN levels may act as areas of balance or reaction. LVN levels may act as rejection zones or acceleration zones depending on context.
---
### Bull / Bear Split and Delta Imbalance Rows
Each profile row can be split into bullish and bearish volume estimates. This helps visualize whether a price area was dominated by bullish or bearish pressure.
The indicator also includes imbalance rows, which highlight areas where one side strongly dominated the row volume.
To avoid label clutter, imbalance labels can be displayed as:
* a single multiplier label
* one label per row
* no label
The multiplier mode is recommended for normal use.
---
### Confluence Zones
The confluence module looks for clusters where several important levels are close to each other.
Examples of levels used in confluence:
* POC
* VAH / VAL
* HVN / LVN
* Period open / close
* Naked POC
* Profile high / low
* Poor high / poor low
* Composite levels
A confluence zone does not predict direction by itself. It simply marks an area where several auction references are grouped together.
---
### Naked POC Tracking
The script can track previous POC levels that have not yet been revisited. These levels are often watched as potential return-to-value or magnet zones.
Naked POC levels include status logic such as:
* Fresh
* Tested
* Respected
* Broken
* Dead
The extension distance can be adjusted so naked POC levels do not appear too far away from the rest of the profile.
---
### VWAP and Initial Balance
The indicator includes optional period VWAP and VWAP bands.
It can also display Initial Balance levels:
* IB High
* IB Low
* IB Mid
* 1x / 2x IB extensions
These tools are useful for reading whether price is rotating inside value, expanding away from balance, or failing an attempted breakout.
---
### Auction Dashboard
The dashboard summarizes useful auction information such as:
* selected mode
* current price location
* auction state
* value relation
* POC migration
* profile shape
* nearest target
* risk zone
* dominant session
* confluence score
* POC, VAH, VAL, VWAP and IB information
The dashboard is only a reading aid. It should not be used as a standalone trading system.
---
## Beginner Tutorial
### Step 1 — Choose the Profile Mode
Start with Daily mode.
Daily mode is usually the easiest to understand because each profile represents one completed trading day.
Once you are comfortable, you can test Weekly and Monthly modes to read the larger market structure.
---
### Step 2 — Read the Main Levels
Start with three levels:
* POC
* VAH
* VAL
A simple way to read them:
* Price above VAH: market is trading above accepted value
* Price below VAL: market is trading below accepted value
* Price around POC: market is rotating near the main accepted price
* Price between VAH and VAL: market is inside value
---
### Step 3 — Look for Reaction Areas
After the basic value area is understood, check:
* HVN zones
* LVN zones
* naked POC levels
* confluence zones
* VWAP
* Initial Balance
Do not use every line as a trade signal. The goal is to identify areas where price may react, pause, reject, or accelerate.
---
### Step 4 — Use the Dashboard
The dashboard helps summarize the profile state.
For example:
* If price is above VAH and POC migration is rising, the market may be accepting higher prices.
* If price rejects above VAH and returns inside value, it may indicate a failed auction.
* If price is near a confluence zone, the area may deserve more attention.
---
## Example Use Cases
### Example 1 — Return to Value
Price trades above VAH, fails to hold, and returns inside the value area.
A trader may watch for a rotation back toward POC.
This is not a direct entry signal. Confirmation should come from price action, market structure, or another method.
---
### Example 2 — POC Magnet
Price moves away from the previous POC but later returns toward it.
A naked POC or composite POC may act as a reference level where traders expect a reaction or pause.
---
### Example 3 — LVN Acceleration
Price approaches an LVN zone.
Because LVN zones represent low acceptance, price may either reject quickly or move through the area with speed.
The direction depends on context, not on the LVN alone.
---
### Example 4 — Weekly Context, Daily Execution
A trader can use Weekly mode to identify larger auction levels, then switch back to a lower chart timeframe to observe how price reacts near those levels.
This helps separate macro context from execution timing.
---
## Recommended Timeframes
The script is not designed for very low timeframes with heavy settings.
Recommended chart timeframes:
* 5 minutes and above for Daily mode
* 15 minutes and above for Weekly mode
* 15 minutes, 30 minutes, or 1 hour for Monthly mode
Using the script on a 1-minute chart is not recommended, especially with Weekly or Monthly mode, developing profile enabled, high profile rows, many historical profiles, or multiple visual modules active.
Very low timeframes may require too many historical bars or too many drawing objects, which can cause PulseWire limits to be reached.
---
## Performance Recommendations
For stable use, start with these settings:
* Profiles History: 3
* Profile Rows: 48
* Current Developing Profile: Off
* Imbalance Labels: Multiplier
* Composite Display: Near Profile
* Naked POC extension: short distance
If the chart becomes heavy, reduce:
* profile rows
* history count
* developing profile
* imbalance zones
* VWAP bands
* Initial Balance extensions
* confluence labels
---
## Important Notes
This indicator is an analytical tool, not a trading system.
It does not predict the market and does not provide guaranteed results. All levels should be interpreted with market context, price action, risk management, and the trader’s own strategy.
Volume profile analysis is most useful when combined with structure, trend, volatility, session behavior, and confirmation from price action.
Use the script to build a map of important auction areas, not as a standalone reason to enter or exit a trade.
Indicator
CVD Multi-Timeframe DashboardCVD Multi-Timeframe Dashboard
═══════════════════════════════════════════
WHAT IT DOES
═══════════════════════════════════════════
Most CVD tools only show you the timeframe you're standing on. This one shows
you the whole stack at once. Stay on your execution chart — 1m, 3m, 5m,
whatever you trade — and read the net buying vs. selling pressure of the 5m,
15m, 1h, 4h, Daily and Weekly in a single on-chart table.
In one glance you know whether the bigger picture is backing your trade or
fighting it.
═══════════════════════════════════════════
WHY IT'S USEFUL
═══════════════════════════════════════════
Price can rise while volume delta quietly turns negative — buyers stepping
back even as the candle stays green. That divergence is an early warning, and
it's far more powerful when you can see it line up (or break down) across
multiple timeframes:
- All rows green → broad, one-sided buying. Trend trades have the wind behind them.
- All rows red → broad selling pressure. Longs are swimming upstream.
- Mixed rows → the timeframes disagree — often a pullback, rotation, or a
turning point forming.
This turns CVD from a single-timeframe reading into a top-down confluence tool.
═══════════════════════════════════════════
HOW IT WORKS
═══════════════════════════════════════════
Volume Delta = volume hitting the offer (buying) minus volume hitting the bid
(selling). The script uses PulseWire's ta.requestVolumeDelta() engine, which
scans lower-timeframe data to approximate that split as accurately as the
data allows.
Each row anchors that engine to a different timeframe and reports the NET delta
of that timeframe's CURRENT, developing bar — i.e. how much net buy/sell flow
has built up since that candle opened. As a higher-timeframe bar progresses,
its value accumulates; when a new bar opens, it resets. That's why the rows
genuinely differ from one another instead of repeating the same number.
═══════════════════════════════════════════
READING THE TABLE
═══════════════════════════════════════════
TF → the monitored timeframe
CVD Δ → net volume delta of its current bar (auto-formatted K / M / B)
Bias → BUY (positive) or SELL (negative), colour-coded
═══════════════════════════════════════════
SETTINGS
═══════════════════════════════════════════
- Timeframes to monitor — up to 6 slots, each with its own on/off toggle and
timeframe. Set them equal to or higher than your chart timeframe.
- Lower timeframe — resolution used to approximate up/down volume. Automatic
by default; lower = more precise, higher = more history.
- Style — table position, text size, and your own positive/negative colours.
═══════════════════════════════════════════
ALERTS
═══════════════════════════════════════════
"CVD bias flip" fires the moment any monitored timeframe's delta crosses
between positive and negative — useful for catching a shift in flow without
staring at the screen.
═══════════════════════════════════════════
NOTES & LIMITATIONS
═══════════════════════════════════════════
- Monitor timeframes ≥ your chart timeframe; lower ones aren't meaningful.
- The symbol must provide volume data, or the script will tell you.
- Lower-timeframe scanning approximates buy/sell volume — it isn't true
tick or bid/ask data. Use it as a directional gauge, not an exact figure.
Built on PulseWire's open-source CVD logic and the ta.requestVolumeDelta()
function from the PulseWire/ta library. Open-source — feedback and forks
welcome. Indicator
Black Merton Volatility Engine [JOAT]Black Merton Volatility Engine
Introduction
Black Merton Volatility Engine blends multiple realized-volatility estimators with expected-move rails, cone rank, jump pressure, and tail-state classification.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Composite Realized Volatility
Close-to-close, Parkinson, Garman-Klass, Rogers-Satchell, and Yang-Zhang-style estimates contribute to the volatility state.
2. Volatility Cone
Current volatility is ranked against a historical cone to identify squeeze and shock conditions.
3. Expected Move Rails
Annualized volatility is converted into a multi-day expected move around price.
4. Tail and Jump Pressure
Large returns, rail breaches, and volatility divergence contribute to tail and jump states.
expectedMove = close * realizedVol * math.sqrt(days / 252)
Features
Composite realized volatility
Expected-move rails
Squeeze and shock regimes
Gamma pin, tail shock, clean expansion, and jump labels
Movable quant HUD
Input Parameters
Fast, base, and slow vol windows
Vol cone window
Expected move days
Squeeze and shock percentiles
Cooldown and display toggles
How to Use This Script
Use the rails as volatility context. Squeeze, shock, tail, and jump states describe volatility conditions, not a certain direction.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
BMV is original in blending several volatility estimators, cone ranking, jump pressure, and expected-move visualization.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
QuantEdge Momentum ML [PRO]🟦 QuantEdge Momentum ML PRO is a k-Nearest Neighbors driven momentum oscillator built on an adaptive machine-learning core. Unlike RSI, Stochastic, or MACD — which apply the same static formula to every asset — QE-ML PRO learns the dual-horizon RSI fingerprints that have historically led to bullish versus bearish outcomes on the exact instrument being traded, then scores the current bar against the N closest historical matches. The result is a non-parametric, self-calibrating oscillator whose decision boundary is shaped by the asset's own behaviour rather than a hard-coded curve.
The indicator integrates nine independent layers — feature engine, training sampler, k-NN predictor, WMA signal line, stdev-adjusted OB/OS bands, filtered signal dots, gradient channel, theme-adaptive dashboard, and a nine-theme palette — all rendered on a single, clean oscillator panel.
🟦 HOW THE CORE ENGINE WORKS
**Dual-Horizon RSI Feature Vector**
Each bar, the Feature Engine computes two RSI values at different lookback windows and smooths both through a shared trend-length WMA:
- `rsiFast = WMA(RSI(close, FastPeriod), TrendLength)` — reactive short-term momentum
- `rsiSlow = WMA(RSI(close, SlowPeriod), TrendLength)` — structural mid-term momentum
The pair `(rsiSlow, rsiFast)` is a 2-dimensional point in RSI feature space. Every training sample stores one such point along with a ±1 label that records whether price rose or fell since the previous sample. Over time the dataset accumulates a cloud of labelled points that maps which RSI states historically preceded up-moves versus down-moves on this exact asset.
**Training Sampler — Multi-Trigger Collector**
Three collection modes decide when to append a new labelled sample:
| Mode | Trigger | Use Case |
|---|---|---|
| **MA Crossover** | Fast WMA crosses Slow WMA | Clean, sparse samples — classic single-trigger behaviour |
| **Periodic** | Every N bars (user-set) | Fills dataset fast on new / low-history charts |
| **Hybrid** | MA crossover **OR** every N bars | Richest training set — recommended for fresh assets |
Sampling is gated by `barstate.isconfirmed` so the dataset never absorbs unconfirmed values from a flickering live bar.
**k-NN Predictor with Adaptive k**
On every bar, the predictor computes Euclidean distance in the 2D RSI feature space between the live `(rsiSlow, rsiFast)` point and every historical sample:
```
d = sqrt((rsiSlow_now - rsiSlow_hist)² + (rsiFast_now - rsiFast_hist)²)
```
The K closest historical points vote by summing their ±1 labels. The effective K is resolved adaptively using the classical statistical heuristic:
```
kEff = max(3, min(kMax, floor(sqrt(N))))
```
This means early bars — when only a handful of samples exist — use a small K, and the value stabilises as the dataset fills. On a fresh chart you never get a noisy prediction from an undersized neighborhood, and on a mature dataset K automatically scales up for smoother output.
**Bias Correction — Label-Mean Recentering**
Raw k-NN output is biased whenever the label distribution is skewed. On a trending asset, Periodic sampling fills the dataset with mostly +1 (or mostly −1) labels, pushing every prediction off zero. QE-ML PRO subtracts the expected value from the raw sum:
```
prediction = neighborLabelSum − (kEff × meanLabelAcrossDataset)
```
This keeps the mid-level visually centred at zero regardless of how trending the underlying asset has been. The correction is applied on every bar and is what makes the oscillator read cleanly on both sideways and strongly trending markets.
**Minimum Sample Gate**
Until the dataset has reached the user-defined Minimum Training Samples threshold, the predictor outputs exactly zero. This prevents unreliable readings during the warm-up phase on fresh charts.
**FIFO Rotation**
The dataset is hard-capped at Max Dataset Size. Once the cap is reached, the oldest sample is discarded on every new insertion — classical rolling window memory that keeps the k-NN scan bounded and the indicator fast on long histories.
🟦 PREDICTION LINE — FIVE VISUAL STYLES
All five styles are line-based. Only the visual effect differs — the underlying k-NN math is identical across styles.
| Style | Character |
|---|---|
| **Stratum** | Thick adaptive line with zone-based opacity: solid in extreme zones, semi-transparent in the mid zone. Layered intensity aesthetic — default |
| **Neon** | Bright core line with an outer glow halo. Cyberpunk luminous effect, best on dark backgrounds |
| **Resonance** | LRI-style gradient line that fades near the midline and brightens toward the rolling extremes |
| **Pulse** | Adaptive bull/bear color (above midline = bull, below = bear) plus the WMA signal line. The QE-ML PRO classic look |
| **Mono** | Single flat theme-bull line, no gradient, no adaptive coloring. Minimalist single-color silhouette |
🟦 SIGNAL LINE
A WMA of the raw prediction output, used as a crossover trigger line in the MACD convention. Crossovers between the prediction and signal line mark momentum regime changes.
**Two Visual Styles**
| Style | Rendering |
|---|---|
| **Neon** | Bright core line wrapped in a wider semi-transparent glow halo — cyberpunk aesthetic |
| **Flat** | Plain single-color line, no halo, no gradient — minimalist clean look |
🟦 SIGNAL DOTS — FILTERED CROSSOVER MARKERS
A two-layer neon cross-dot renderer fires on every Prediction × Signal crossover that survives the active filter mode. Four progressive filters decide which raw crosses reach the chart:
| Filter Mode | Behaviour | Signal Count |
|---|---|---|
| **All Crosses** | Every cross becomes a dot | Highest — noisy on choppy assets |
| **Zone Only** | Only crosses inside an OB or OS strip | Mean-reversion triggers — strongest reversal setups |
| **Mid Aligned** | Bull dots only above mid, bear dots only below | Trend-following — keeps you on regime side |
| **Strict** | Zone Only + Mid Aligned + extra strength multiplier on mid-zone crosses | Fewest signals, highest conviction — default |
Two additional gates filter out whipsaws:
- **Cooldown (bars)** — minimum spacing between consecutive dots, prevents cluster spam in ranges
- **Min Strength** — minimum `|prediction − signal|` separation at the moment of the cross, drops razor-thin crossovers that close back on themselves
Each dot is a two-layer plot: an outer glow halo with user-adjustable size and opacity, and a bright solid core on top — independently sized and opacity-controlled so users can dial in the exact visual weight they want.
The dot is placed at the actual cross point: bull dots at `min(prediction, signalLine)`, bear dots at `max(prediction, signalLine)`.
🟦 DYNAMIC BANDS — STDEV-ADJUSTED OB / OS ZONES
QE-ML PRO does not use fixed 80 / 20 overbought / oversold levels. Instead, the bands adapt to the actual historical range of the prediction output:
- **Channel Extremes** — rolling highest / lowest of the prediction over a user-configurable lookback
- **Stdev Band** — EMA of rolling standard deviation of the prediction, multiplied by the user's stdev length
- **OB Level** = `rangeHi − stdevBand` (inner boundary of the overbought strip)
- **OS Level** = `rangeLo + stdevBand` (inner boundary of the oversold strip)
The result is a pair of mean-reversion zones that tighten during quiet markets and widen during volatile ones — no manual recalibration needed across assets.
The strips are rendered as gradient fills anchored on the live prediction plot, so they only appear visually while the prediction is actually inside the zone.
🟦 CHANNEL GRADIENT
Two symmetric gradient fills bracket the mid line. The upper fill stretches from `midValue` to `rangeHi`, the lower fill from `midValue` to `rangeLo`. Opacity fades from full intensity at the extremes to fully transparent at the midline — a visual range meter showing how close the prediction is sitting to its historical boundaries.
Colors are pulled from the active Theme. A single opacity slider controls the gradient intensity.
🟦 DASHBOARD — LIVE DATA PANEL
A compact 2-column × 7-row monospace panel drawn on the last bar only (zero historical overhead). Every field updates in real time on the live bar.
| Row | Left | Right |
|---|---|---|
| Header | QE-ML PRO | Regime (▲ BULL / ▼ BEAR / ■ NEUTRAL) |
| Row 1 | Prediction | Raw value + trend arrow vs previous bar |
| Row 2 | Signal | WMA trigger line value |
| Row 3 | Strength | 10-block gauge of `|prediction − signal|` normalised against rolling channel |
| Row 4 | Zone | OB / MID / OS tag |
| Row 5 | Dataset | Sample count / effective k |
| Row 6 | Mode | Active Learning Mode (MA Cross / Periodic / Hybrid) |
**Theme-Aware Auto-Invert**
The panel background scaffolds auto-switch:
- **Tropic / Amber / Pastel / Cyber / Gold / Electric / Candy** → dark panel with bright theme accent text
- **Midnight / Graphite** → light panel with dark theme accent text
This guarantees legibility on every theme without breaking the theme's color identity — because Midnight and Graphite use deep dark bull tones that would drown against a black panel.
**Direction via Glyphs, Not Color**
Both columns share the same full-strength theme tone. Regime direction is conveyed by `▲ ▼ ■` glyphs rather than color shifts, which keeps the panel reading cleanly even on the most minimal themes.
🟦 NINE COLOR THEMES
One theme selector drives every colored component — Prediction line, Signal line, Channel fill, OB / OS strips, Mid-level line, Signal Dots, and Dashboard panel. No per-color manual inputs.
| Theme | Character | Bull | Bear |
|---|---|---|---|
| **Tropic** | Cyan steel + deep orange — electric contrast (default) | Cyan | Deep Orange |
| **Amber** | Warm amber + indigo blue — fire tones | Amber | Red |
| **Pastel** | Sky blue + soft lavender — cool arctic glow | Sky Blue | Lavender |
| **Cyber** | Neon lime + hot crimson — cyber terminal | Neon Green | Crimson |
| **Gold** | Bright gold + scarlet — solar warmth | Yellow Gold | Red |
| **Electric** | Electric aqua + magenta — high-voltage neon | Aqua | Magenta |
| **Candy** | Neon green + hot pink — dark energy pop | Mint Green | Hot Pink |
| **Midnight** | Deep navy + dark crimson — dark depth (auto light dashboard) | Navy Blue | Dark Red |
| **Graphite** | Near-black + silver grey — monochrome minimal (auto light dashboard) | Near Black | Grey |
🟦 ALERT SYSTEM — TEN CONDITIONS
Every alert is gated by its matching "Show X" visibility toggle — if a component is hidden from the chart, its alerts are automatically suppressed. This eliminates the mismatch between visual signals and alert signals that plagues many indicators.
| Alert | Condition | Gated By |
|---|---|---|
| Crossover OB | Prediction crosses above the overbought boundary | Show OB/OS Fill |
| Crossunder OB | Prediction crosses back down through OB | Show OB/OS Fill |
| Crossover OS | Prediction crosses up through oversold boundary | Show OB/OS Fill |
| Crossunder OS | Prediction crosses below the oversold boundary | Show OB/OS Fill |
| Crossover Mid | Prediction crosses above the mid line — bullish regime flip | Show Mid Level |
| Crossunder Mid | Prediction crosses below the mid line — bearish regime flip | Show Mid Level |
| Crossover Signal | Prediction crosses above its WMA signal line (MACD bullish) | Show Signal Line |
| Crossunder Signal | Prediction crosses below its WMA signal line (MACD bearish) | Show Signal Line |
| Bull Signal Dot | A filtered Bull Signal Dot is plotted (uses Filter Mode + Cooldown + Min Strength) | Show Signal Dots |
| Bear Signal Dot | A filtered Bear Signal Dot is plotted (uses Filter Mode + Cooldown + Min Strength) | Show Signal Dots |
🟦 SETTINGS REFERENCE
**Visual**
- Theme — nine cohesive palettes. Default: Tropic
**Machine Learning**
- Neighbors (k) — upper bound on neighbors used by the predictor. Default: 100
- Adaptive k — scales k with dataset size using the `floor(sqrt(N))` heuristic. Default: ON
- Learning Mode — MA Crossover / Periodic / Hybrid. Default: MA Crossover
- Sample Every (bars) — bar interval for the Periodic / Hybrid trigger. Default: 5
- Minimum Training Samples — warm-up gate, predictor outputs zero until reached. Default: 30
- Max Dataset Size — hard FIFO cap. Default: 500 (safe on all timeframes)
**Feature Engine**
- Trend Length — WMA smoothing applied to both RSI features. Default: 20
- RSI Fast Period — first feature dimension. Default: 5
- RSI Slow Period — second feature dimension. Default: 20
- MA Fast Period — fast WMA for the crossover training trigger. Default: 5
- MA Slow Period — slow WMA for the crossover training trigger. Default: 20
**Prediction Line**
- Show Prediction Line — master toggle. Default: ON
- Prediction Style — Stratum / Neon / Resonance / Pulse / Mono. Default: Stratum
- Prediction Width — 1 to 5. Default: 2
**Signal Line**
- Show Signal Line — toggle. Default: ON
- Signal Style — Neon / Flat. Default: Neon
- Signal Period — WMA length of the signal line. Default: 20
- Signal Width — 1 to 5. Default: 1
**Signal Dots**
- Show Signal Dots — toggle. Default: ON
- Filter Mode — All Crosses / Zone Only / Mid Aligned / Strict. Default: Strict
- Cooldown (bars) — minimum spacing between dots. Default: 5
- Min Strength — minimum `|prediction − signal|` at the cross. Default: 0.5
- Core Dot Size — 1 to 8. Default: 3
- Core Dot Opacity — 0 to 100. Default: 100
- Glow Dot Size — 1 to 12. Default: 8
- Glow Dot Opacity — 0 to 100. Default: 30
**Channel Fill**
- Show Channel Fill — toggle. Default: ON
- Channel Opacity — 0 to 100. Default: 25
- Channel Lookback — rolling highest / lowest window. Default: 500
**OB / OS Fill**
- Show OB/OS Fill — toggle. Default: ON
- Zone Stdev Length — stdev window that offsets the OB / OS boundaries inward. Default: 20
**Mid Level**
- Show Mid Level — toggle. Default: ON
- Mid Level Value — Y-value of the reference line. Default: 0
- Mid Level Style — Solid / Dashed / Dotted. Default: Dashed
**Dashboard**
- Show Dashboard — toggle. Default: ON
- Panel Position — six slots (Top/Middle/Bottom × Right/Left). Default: Middle Right
- Panel Text Size — Tiny / Small / Normal / Large. Default: Small
**Alerts**
- Ten opt-in toggles, one per alert condition. All default: ON
🟦 TRADER PRESETS — SETTINGS BY STYLE
QE-ML PRO is volatility-agnostic thanks to the adaptive bands and bias correction, but the reactivity of the predictor scales directly with the feature and sampler parameters. The four presets below are tested starting points you can drop straight into the settings panel — adjust by ±20% to taste.
---
** SCALPER — 1m / 3m / 5m**
High-frequency entries, tight stops, many signals per session. Priority is reaction speed — you want the predictor to flip states within a handful of bars of an actual move.
| Setting | Value |
|---|---|
| Trend Length | 10 |
| RSI Fast Period | 3 |
| RSI Slow Period | 14 |
| MA Fast Period | 3 |
| MA Slow Period | 10 |
| Signal Period | 8 |
| Neighbors (k) | 40 |
| Adaptive k | ON |
| Learning Mode | **Hybrid** |
| Sample Every | 2 |
| Minimum Training Samples | 20 |
| Max Dataset Size | **300** (keeps 1m charts fast) |
| Filter Mode | **All Crosses** or Zone Only |
| Cooldown | 2 |
| Min Strength | 0.3 |
| Channel Lookback | 200 |
| Zone Stdev Length | 10 |
| Prediction Style | Neon or Stratum |
**Why:** Low smoothing (Trend=10) + short RSI pair (3/14) keeps the features razor-sharp. Hybrid learning means you never wait for an MA crossover during quiet 1m sessions. Max Dataset capped at 300 protects you from the PulseWire per-bar calculation limit on long 1m histories.
---
** DAY TRADER — 15m / 30m / 1H**
Balanced reactivity and conviction — the default profile. You want clean crosses without noise spam, and signals that survive the open / close volatility spikes.
| Setting | Value |
|---|---|
| Trend Length | 20 (default) |
| RSI Fast Period | 5 (default) |
| RSI Slow Period | 20 (default) |
| MA Fast Period | 5 (default) |
| MA Slow Period | 20 (default) |
| Signal Period | 20 (default) |
| Neighbors (k) | 100 (default) |
| Adaptive k | ON |
| Learning Mode | **MA Crossover** (default) |
| Minimum Training Samples | 30 (default) |
| Max Dataset Size | 500 (default) |
| Filter Mode | **Strict** (default) |
| Cooldown | 5 (default) |
| Min Strength | 0.5 (default) |
| Channel Lookback | 500 (default) |
| Zone Stdev Length | 20 (default) |
| Prediction Style | Stratum (default) |
**Why:** Every default value was tuned for this range. Strict filter + 5-bar cooldown keeps the dot count honest on a 30m chart. MA Crossover sampling gives you clean sparse data since 15m+ charts already have enough crossover events.
---
** SWING TRADER — 4H / 1D**
Lower signal frequency, higher conviction per signal. You're holding for days or weeks — every dot needs to mean something.
| Setting | Value |
|---|---|
| Trend Length | 30 |
| RSI Fast Period | 7 |
| RSI Slow Period | 30 |
| MA Fast Period | 7 |
| MA Slow Period | 30 |
| Signal Period | 30 |
| Neighbors (k) | 150 |
| Adaptive k | ON |
| Learning Mode | MA Crossover |
| Minimum Training Samples | 50 |
| Max Dataset Size | 800 |
| Filter Mode | **Strict** |
| Cooldown | 10 |
| Min Strength | 0.8 |
| Channel Lookback | 800 |
| Zone Stdev Length | 30 |
| Prediction Style | Stratum or Mono |
**Why:** Longer feature periods mean the predictor only moves on genuine structural shifts. Larger k (150) + bigger dataset (800) gives the k-NN vote a wider base so outliers don't flip the sign. Cooldown of 10 bars on a 4H chart = 40 hours minimum between dots — exactly what a swing trader wants.
---
** POSITION / LONG-TERM — 1D / 1W / 1M**
Macro regime detection. You're looking for the handful of generational setups per year — noise is the enemy.
| Setting | Value |
|---|---|
| Trend Length | 50 |
| RSI Fast Period | 10 |
| RSI Slow Period | 40 |
| MA Fast Period | 10 |
| MA Slow Period | 40 |
| Signal Period | 40 |
| Neighbors (k) | 200 |
| Adaptive k | ON |
| Learning Mode | **Hybrid** |
| Sample Every | 3 |
| Minimum Training Samples | 40 |
| Max Dataset Size | 1000 |
| Filter Mode | **Strict** |
| Cooldown | 15 |
| Min Strength | 1.0 |
| Channel Lookback | 1000 |
| Zone Stdev Length | 40 |
| Prediction Style | Mono or Pulse |
**Why:** Weekly and monthly charts have few crossover events per year — without Hybrid mode the dataset starves. Sample Every = 3 on a weekly chart means one sample every 3 weeks, which is plenty of structural density. Min Strength 1.0 filters out every shallow cross — you only see dots on generational momentum inflections.
---
**Tuning Tip**
If the predictor feels **too reactive** → increase Trend Length and Signal Period by 25%, raise Cooldown.
If the predictor feels **too sluggish** → switch Learning Mode to Hybrid, decrease Min Samples, lower Trend Length.
If the dashboard shows **Dataset N is stuck low** → switch Learning Mode from MA Crossover to Hybrid — crossover events are too rare on your current settings.
If you see **runtime / timeout errors** on long histories → drop Max Dataset Size to 300 and Channel Lookback to 300.
🟦 COMPATIBILITY
Works on all asset classes and all timeframes in PulseWire Pine Script v6.
- **Crypto** — Spot, futures, perpetual contracts
- **Forex** — All pairs
- **Equities** — Stocks, ETFs, indices
- **Commodities** — Metals, energy, agriculture
- **Timeframes** — 1m through Monthly
The k-NN engine learns each asset's own RSI fingerprint distribution, and the stdev-adjusted bands auto-scale to the volatility of that distribution, so the indicator is truly self-calibrating across assets and timeframes — no manual recalibration required.
🟦 TECHNICAL NOTES
- Pine Script v6
- No repainting — training samples are gated by `barstate.isconfirmed` so the dataset never absorbs unconfirmed live-bar values
- Dataset is hard-capped via FIFO rotation; no unbounded memory growth
- Dashboard renders only on `barstate.islast` — zero historical overhead
- All drawing objects are stateless plots (no label / box / line object pools), so `max_*_count` limits cannot be exceeded
- k-NN distance pass is O(N), sort is O(N log N), both bounded by Max Dataset Size
- Default Max Dataset Size of 500 is tuned to stay within PulseWire's per-bar calculation budget on histories up to ~50,000 bars
- Bias correction uses a single extra accumulator pass during the distance sweep — no performance penalty
🟦 DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. The k-NN engine learns from historical patterns, but markets do not guarantee that historical patterns will repeat. Always conduct your own analysis and apply proper risk management. Indicator
Delta Absorption Scanner[MarkitTick]💡 This advanced analytical tool is engineered to bridge the gap between price action and order flow dynamics by identifying critical moments where market participants encounter significant liquidity barriers. In the modern trading landscape, volume alone is often insufficient to determine market direction. The Delta Absorption Scanner provides a sophisticated lens through which traders can observe the interaction between aggressive market orders and passive limit orders, specifically highlighting "Absorption" events. These events occur when high-volume "Effort" fails to produce a proportional price "Result," signaling a potential exhaustion of the current trend or a hidden accumulation/distribution phase. By synthesizing volume delta, candle spread, and multi-timeframe context into a unified interface, this script empowers traders to make decisions based on the structural integrity of the market rather than superficial price movements.
✨ Originality and Utility
The primary utility of this script lies in its multi-layered approach to market analysis, moving beyond simple oscillators or trend-following moving averages.
Unlike standard volume indicators that merely report total activity, this scanner differentiates between buying and selling pressure by calculating candle-based delta, allowing for a more granular view of market intent.
The script introduces a unique "Scanner" architecture that monitors four distinct high-timeframe (HTF) perspectives simultaneously. This provides an institutional-grade view of the trend without the need to constantly switch chart intervals.
It incorporates a proprietary "Absorption" detection logic that correlates delta percentage with the physical spread of the candle. This identifies "hidden" strength or weakness that is often invisible to the naked eye.
The inclusion of Fair Value Gap (FVG) and Swing High/Low detection within the dashboard creates a comprehensive "Confluence Engine," ensuring that short-term delta signals are validated by higher-level market structures.
By utilizing non-repainting multi-timeframe logic (security calls with index offsets), the indicator maintains the highest standards of data integrity, making it suitable for both discretionary trading and systemic strategy development.
🔬 Methodology and Concepts
The core logic begins with the calculation of "Candle Delta," which determines the dominant force within a single bar based on its polarity. If a candle closes above its open, the entire volume is attributed to positive delta; if it closes below, it is negative.
The indicator then calculates the "Spread," defined as the absolute distance between the high and low of the bar. This metric is critical for the "Effort vs. Result" analysis.
Absorption is mathematically flagged when a candle exceeds the user-defined "Minimum Delta %" threshold but fails to generate significant directional movement, or when the spread is disproportionately small compared to the volume injected.
The Support (S3) and Resistance (R3) levels are derived from the most recent significant high-volume or high-delta bars, creating dynamic zones that reflect where institutional liquidity was last engaged.
Multi-Timeframe Integration: The script utilizes the request.security() function with a bar offset. This ensures that the data displayed from higher timeframes is "confirmed" and prevents the visual bias known as repainting.
Trend determination on the dashboard is calculated using a proprietary relationship between the current price and the 14-period smoothed high/low averages, providing a stable "Trend Bias" for each monitored timeframe.
● Main Feature Components
• Volume Delta labels
The script places dynamic labels above or below candles that exhibit significant delta. These labels display the Delta percentage, helping traders identify where "Climax" volume is occurring.
• Spread Analysis (S)
Next to the Delta % is a value representing the "Spread." This allows for an immediate visual comparison: High Delta with Low Spread suggests passive absorption (reversal), while High Delta with High Spread suggests aggressive momentum (continuation).
• Multi-Timeframe (HTF) Dashboard
A sophisticated table displayed on the chart that aggregates data from up to four higher timeframes. This dashboard is the "brain" of the scanner, providing a bird's-eye view of the market's broader health.
🎨 Visual Guide
Positive Delta Labels: Displayed as green labels with white text. These signify bars where buying volume was dominant.
Negative Delta Labels: Displayed as red labels with white text. These signify bars where selling volume was dominant.
Neutral/Spread Labels: Displayed in a dark neutral color to represent bars where the spread is being analyzed without a significant delta bias.
Dashboard - Trend Column: Displays "UP" in green for bullish regimes and "DN" in red for bearish regimes for each of the four HTF settings.
Dashboard - S3/R3 Column: Displays the price of the nearest significant support or resistance level identified by the script.
Dashboard - Distance % Column: A dynamic calculation showing how far the current price is from the S3/R3 levels. Green indicates distance from support, while red indicates distance from resistance.
Dashboard - FVG Column: Displays "+FVG" in green if a bullish Fair Value Gap exists on that timeframe, or "-FVG" in red if a bearish gap is present.
Dashboard - Swing Column: Identifies if the current price is near a local "Top" or "Bottom" based on pivot logic.
📖 How to Use
Step 1: Identify "Effort" on the Chart. Look for a large Delta % label (e.g., >20%) appearing at a local high or low.
Step 2: Analyze the "Result." If the Delta is high (Green/Positive) but the candle spread (S) is small and price fails to move higher, this is a classic Bearish Absorption signal. Limit sellers are "absorbing" the market buyers.
Step 3: Consult the Dashboard. Check if the HTF trends are in alignment. For a short trade based on Bearish Absorption, you ideally want to see "DN" trends on higher timeframes and the presence of a "-FVG."
Step 4: Proximity to S/R. Use the "Dist %" column to ensure you are not selling directly into a higher-timeframe support (S3) or buying directly into resistance (R3).
Step 5: Confluence. The highest probability trades occur when a Delta climax appears at a dashboard-confirmed Swing Top/Bottom in the direction of the HTF trend.
⚙️ Inputs and Settings
Positive/Negative Delta Color: Customizes the aesthetic of the bull/bear labels to match your chart theme.
Max Labels on Chart: Controls the lookback period for visual labels to maintain chart performance and reduce clutter.
Minimum Delta % to Show: A sensitivity filter. Higher values (e.g., 50%) will only show the most extreme volume events, while lower values (e.g., 10%) provide more frequent signals.
Show Spread (S): Toggles the visibility of the candle spread value within the labels.
HTF 1-4 Settings: Allows the user to define which timeframes the dashboard should track (e.g., 1H, 4H, Daily, Weekly).
Dashboard Position: Permits the user to move the table to different corners of the chart for better visibility.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• The Law of Effort vs. Result
Based on the principles established by Richard Wyckoff, this indicator quantifies "Effort" as Volume Delta and "Result" as Price Spread. In a balanced market, increased effort should lead to an equivalent result. When these two diverge (Anomalies), it suggests a change in market character.
• Auction Market Theory (AMT)
The indicator utilizes AMT principles by identifying areas of "High Volume Nodes" (represented by S3/R3) where the market has found value or met significant opposition. The "Distance %" feature measures the market's deviation from these nodes, which often acts as a mean-reversion catalyst.
• Order Flow Imbalance
While traditional indicators use price as a lagging derivative, the Delta Absorption Scanner attempts to lead price by observing the imbalance between aggressive market participants. By isolating the delta within each bar, the script identifies where one side of the "Auction" is becoming exhausted.
• Statistical Significance of Spread
The inclusion of spread analysis is rooted in statistical volatility measurements. A narrow spread during high volume indicates a high density of limit orders (Liquidity), which is a precursor to price reversals or significant breakouts once the liquidity is exhausted.
• Multi-Timeframe Structuralism
The scanner's architecture is based on the theory that lower-timeframe "noise" is resolved by higher-timeframe "structure." By mapping FVGs and Swings across four dimensions, the script applies a fractal analysis to the current bar's delta events.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
Relative Volume Context [Alturoi]Relative Volume Context evaluates whether current volume is unusual relative to its historical time-of-day or calendar context.
Instead of comparing volume to a global average, the script estimates expected volume for the current time bucket (e.g., minute of hour, hour of day, day of week, month). This creates a like-for-like comparison against historical behavior occurring at the same structural moment.
All outputs are derived from a single statistical volume model.
How It Works
For each selected time bucket, the script maintains:
Sample size (N)
Mean volume (expected value)
Variance (used for Z-Score)
When a new bar forms, current volume is compared to the historical statistics of its bucket.
This produces:
Expected Volume – Typical volume for this time bucket
Difference – Actual minus expected
Surprise (%) – Relative deviation from expected
Z-Score – Standardized deviation from the historical distribution
Sample Size & Confidence – Transparency into statistical reliability
Optional session-aware bucketing allows intraday traders to model volume relative to session structure.
Why Time Conditioning Matters
Volume follows structural patterns (open, midday, close, weekday effects).
Comparing current volume to a global average ignores these effects.
By conditioning volume on time, the indicator helps distinguish:
Routine activity
Statistically elevated participation
Structurally quiet periods
How to Use
This indicator is designed as a contextual tool, not a trading signal.
It may assist in:
Evaluating whether breakouts occur with elevated participation
Distinguishing routine session volume from abnormal spikes
Assessing whether price movement is supported by unusual activity
Interpret readings alongside price structure and risk management.
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past behavior does not guarantee future results. Indicator
Indicator
Multi-Distribution Volume Profile (Zeiierman)█ Overview
Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more.
Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity.
On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map.
Highlights
Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.)
Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout
Value Area / Center Band computed from volume quantiles around the POC.
Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids
Separate bullish vs bearish volume at each price row for directional structure insights
█ How It Works
⚪ Profile Construction
The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows).
For each historical bar within the window:
It measures the candle’s price range, body, and wicks.
It assigns volume to rows according to the selected Profile Build Mode, for example:
* Range Uniform – volume spread evenly across the full high–low range.
* Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only.
* Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling).
HL2 / Body Center Weighted – center weights around the middle of the range/body.
Recent-Weighted Volume – amplify newer bars using exponential time decay.
Volume Squared (Hard) – aggressively boost bars with large volume.
Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars.
For more advanced shapes, the script uses continuous distributions across the bar’s span:
Linear, Triangular, Exponential to High
Cosine Centered, PERT
Gaussian, Lognormal, Cauchy, Laplace
Pareto, Weibull, Logistic, Gumbel
Gamma, Beta, Chi-Square, Student-t, F-Shape
Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes.
⚪ POC & Center Band (Value Area)
Once all rows are accumulated:
The row with the highest total volume becomes the Point of Control (POC)
The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution.
This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading.
⚪ Gradient Fade Engine
Each row also gets a fade metric, chosen in Fade Metric:
Volume – opacity based on relative volume.
Price Hits – how frequently that row was touched.
Blended (Vol+Hits) – average of volume & hits.
Freshness – emphasizes recent activity, controlled by Decay.
Volatility Impact – rows that saw larger ranges contribute more.
Dwell Time – where price “camped” the longest.
Reversal Density – where direction changes cluster.
Compression – tight-range compression zones.
Liquidity Void – inverse of volume (thin liquidity zones).
When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property.
█ How to Use
⚪ Explore Different Distribution Assumptions
Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure:
Use Range Uniform for classical profile reading.
Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering.
Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity.
Use Recent-Weighted Volume to prioritize the most recent structural behavior.
This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest.
⚪ Identify Value, Acceptance & Rejection Zones
Use the POC and Center of Profile (%) band to distinguish:
High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas
Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density
These regions can be used as:
Targets and origin zones for mean reversion
Context for breakout validation (leaving value)
Bias reference for intraday rotations or swing rotations
⚪ Read Directional Structure Within the Profile
Because each row is split into bullish vs bearish contributions, you can visually read:
Where buyers dominated a price region (large bullish slice)
Where sellers absorbed or defended (large bearish slice)
Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data.
⚪ Use Fade Metrics for Contextual Heatmaps
Each Fade Metric can be used for a different analytical lens:
Volume / Blended – emphasize where volume and activity are concentrated.
Freshness – highlight the most recently active zones that still matter.
Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges.
Reversal Density – locate micro turning points and battle zones.
Liquidity Void – visually pop out thin regions that may act as speedways or magnets.
█ Settings
Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families).
Bars Included – Number of bars used to build the profile from the current bar backward.
Price Levels – Vertical resolution of the profile: more levels = smoother but heavier.
Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top.
Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes.
Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric.
Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void).
Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer).
Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window.
Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
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.
Indicator
Volume Gaps & Imbalances (Zeiierman)█ Overview
Volume Gaps & Imbalances (Zeiierman) is an advanced market-structure and order-flow visualizer that maps where the market traded, where it did not, and how buyer-vs-seller pressure accumulated across the entire price range.
The core of the indicator is a price-by-price volume profile built from Bullish and Bearish volume assignments. The script highlights:
True zero-volume voids (regions of no traded volume)
Bull/Bear imbalance rows (horizontal volume slices)
A multi-section Delta Panel, showing aggregated Buy–Sell pressure per vertical sector
A clean separation between profile structure, volume efficiency, and delta flows
Together, these components reveal market inefficiencies, displacement zones, and fair-value regions that price tends to revisit — making it an exceptional tool for structural trading, order-flow analysis, and contextual confluence.
Highlights
Identifies true volume voids (untraded price regions), more precisely than standard FVG tools
Plots Bull vs Bear volume at each price row for fine-grained imbalance reading
Includes a sector-based Delta Grid that aggregates Buy–Sell dominance
█ How It Works
⚪ Profile Construction
The indicator scans a user-defined Lookback window and divides the full high–low range into Rows. Each bar's volume is allocated into the correct price bucket:
Bullish volume when close > open
Bearish volume when close <= open
This produces three values per price level:
Bull Volume
Bear Volume
Total Volume & Imbalance Profile
Rows where no volume at all occurred are marked as volume gaps — signaling true untraded zones, often produced by impulsive imbalanced moves.
⚪ Zero-Volume Gaps (True Voids)
Unlike candle-based Fair Value Gaps (FVGs), volume gaps identify the deeper, structural inefficiency: Price moved so fast through a region that no trades occurred at those prices. These areas often attract revisits because liquidity never exchanged hands there.
⚪ Bull/Bear Volume Imbalance
Every price row is drawn using two colored horizontal segments:
Bull segment proportional to bullish volume
Bear segment proportional to bearish volume
This reveals where buyers or sellers dominated individual price levels.
⚪ Delta Panel
The full volume profile is cut into Summary Sections. For each block, the script computes: Δ = (Bull Volume − Bear Volume) ÷ Total Volume × 100%
█ How to Use
⚪ Spot True Voids & Inefficiencies
Zero-volume zones highlight where the price moved without trading. These areas often behave like:
Refill zones during retracements
Targets during displacement
Thin regions price slices through quickly
Ideal for both SMC-style trading and structural mapping.
⚪ Identify Bull/Bear Control at Each Price Level
Broad bullish segments show zones of buyer absorption, while wide bearish slices reveal seller control.
This helps you interpret:
Where buyers supported the price
Where sellers defended a level
Which price levels matter for continuation or reversal
⚪ Use Delta Sectors for Contextual Direction
The delta panel shows where market pressure is accumulating, revealing whether the profile is dominated by:
Bullish flow (positive delta)
Bearish flow (negative delta)
Neutral flow (balanced or minimal delta)
█ Settings
Lookback – Number of bars scanned to build the profile.
Rows – Vertical resolution of price bins.
Source – Price source used to assign volume into rows.
Summary Sections – Number of vertical delta sectors.
Summary Width – Horizontal size of the delta bar panel.
Gap From Profile – Distance between profile and delta grid.
Show Delta Text – Toggle Δ% labels.
-----------------
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.
Indicator
ICT HTF Volume Candles (Based on HTF Candles by Fadi)# ICT HTF Volume Candles - Multi-Timeframe Volume Analysis
## Overview
This indicator provides multi-timeframe volume visualization designed to complement price action analysis. It displays volume data from up to 6 higher timeframes simultaneously in a separate panel, allowing traders to identify volume spikes, divergences, and institutional activity without switching between timeframes.
**Original Concept Credits:** This indicator builds upon the HTF Candles framework by Fadi, adapting it specifically for volume analysis with enhanced features including gap-filling for extended hours, multiple scaling methods, and advanced synchronization.
## What Makes This Script Original
### Key Innovations:
1. **Three Volume Scaling Methods:**
- **Per-HTF Auto Scale:** Each timeframe scales independently for detailed comparison
- **Global Auto Scale:** All timeframes use unified scale for relative volume comparison
- **Manual Scale:** User-defined maximum for consistent analysis across sessions
2. **Bullish/Bearish Volume Differentiation:**
- Volume bars colored based on price movement (close vs open)
- Separate styling for bullish (green) and bearish (red) volume periods
- Helps identify whether volume supports price direction
3. **Advanced Time Synchronization:**
- Custom daily candle open times (Midnight, 8:30 AM, 9:30 AM ET)
- Timezone-aware calculations for New York trading hours
- Real-time countdown timers for each timeframe
- **Gap-filling technology** for continuous display during extended hours and weekends
4. **Flexible Display Options:**
- Configurable spacing and positioning
- Label placement (top, bottom, or both)
- Day-of-week or time interval labels on candles
- Works reliably in backtesting and live trading
## How It Works
### Volume Calculation
The indicator uses `request.security()` with optimized parameters to fetch volume data from higher timeframes:
- **Volume Open/High/Low/Close (OHLC):** Tracks volume changes within each HTF candle
- **Color Logic:** Compares HTF close vs open prices to determine bullish/bearish classification
- **Alignment:** All volume bars share a common baseline for easy visual comparison
- **Gap Handling:** Uses `gaps=barmerge.gaps_off` to maintain continuity during non-trading hours
### Technical Implementation
```
1. Monitors HTF timeframe changes using request.security() with lookahead
2. Creates new VolumeCandle object when HTF bar opens
3. Updates current candle's volume H/L/C on each chart bar
4. Applies selected scaling method to normalize display height
5. Repositions all candles and labels on each bar update
6. Fills gaps automatically during extended hours for consistent display
```
### Scaling Methods Explained
**Method 1 - Auto Scale per HTF:**
Each timeframe displays volume relative to its own maximum. Best for identifying patterns within each individual timeframe.
**Method 2 - Global Auto Scale:**
All timeframes share the same scale based on the highest volume across all HTFs. Best for comparing relative volume strength between timeframes.
**Method 3 - Manual Scale:**
User sets maximum volume value. Best for maintaining consistent scale across different trading sessions or instruments.
## How to Use This Indicator
### Setup
1. Add indicator to your chart (it appears in a separate panel below price)
2. Configure up to 6 higher timeframes (default: 5m, 15m, 1H, 4H, 1D, 1W)
3. Set number of candles to display for each timeframe
4. Choose volume scaling method based on your analysis needs
5. Enable "Fix gaps in non-trading hours" for extended hours trading (enabled by default)
### Interpretation
**Volume Spikes:**
- Sudden increase in volume height indicates institutional activity or strong conviction
- Compare volume between timeframes to identify where the real money is moving
- Look for volume spikes that appear across multiple timeframes simultaneously
**Bullish vs Bearish Volume:**
- **Green volume bars:** Price closed higher (buying pressure)
- **Red volume bars:** Price closed lower (selling pressure)
- High green volume during uptrend = confirmation of strength
- High red volume during downtrend = confirmation of weakness
- High volume opposite to trend = potential reversal warning
**Multi-Timeframe Context:**
- **5m/15m:** Scalping and day trading activity
- **1H/4H:** Swing trading and intraday institutional flows
- **Daily/Weekly:** Major position building and long-term trends
**Divergences:**
- Price making new highs but volume declining = weakening trend
- Volume increasing while price consolidates = potential breakout brewing
- Price breaks level but volume doesn't confirm = likely false breakout
### Practical Examples
**Example 1 - Institutional Confirmation:**
Price breaks above resistance. Check volume across timeframes:
- 5m shows spike = retail interest
- 15m + 1H + 4H all show spikes = institutional confirmation
- **Trade confidence: HIGH**
**Example 2 - False Breakout Detection:**
Price breaks resistance with:
- High volume on 5m only
- Normal/low volume on 1H and 4H
- **Interpretation:** Likely retail trap, institutions not participating
- **Action:** Wait for pullback or avoid
**Example 3 - Accumulation Phase:**
Price ranges sideways but:
- Daily volume gradually increasing
- Weekly volume above average
- **Interpretation:** Smart money accumulating
- **Action:** Prepare for breakout in direction of volume
**Example 4 - Volume Divergence:**
Price makes new high:
- Current high has lower volume than previous high across all timeframes
- **Interpretation:** Weakening momentum
- **Action:** Consider profit-taking or reversal trade
## Configuration Parameters
### Timeframe Settings
- **HTF 1-6:** Select timeframes (must be higher than chart timeframe)
- **Max Display:** Number of candles to show per timeframe (1-50)
- **Limit to Next HTFs:** Display only first N enabled timeframes (1-6)
### Styling
- **Bull/Bear Colors:** Separate colors for body, border, and wick
- **Padding from current candles:** Distance offset from live price action
- **Space between candles:** Gap between individual volume bars
- **Space between Higher Timeframes:** Gap between different timeframe groups
- **Candle Width:** Thickness of volume bars (1-4, multiplied by 2)
### Volume Settings
- **Volume Scale Method:** Choose 1, 2, or 3
- 1 = Auto Scale per HTF (each TF independent)
- 2 = Global Auto Scale (all TF unified)
- 3 = Manual Scale (user-defined max)
- **Auto Scale Volume:** Enable/disable automatic scaling
- **Manual Scale Max Volume:** Set maximum when using Method 3
### Label Settings
- **HTF Label:** Show/hide timeframe names with color and size options
- **Label Positions:** Display at Top, Bottom, or Both
- **Label Alignment:** Align centered or Follow Candles
- **Remaining Time:** Show countdown timer until next HTF candle
- **Interval Value:** Display day-of-week or time on each candle
### Custom Daily Candle
- **Enable Custom Daily:** Override default daily candle timing
- **Open Time Options:**
- **Midnight:** Standard 00:00 ET daily open
- **8:30 AM:** Align with economic data releases
- **9:30 AM:** Align with NYSE market open
- Useful for specific trading strategies or market alignment
### Advanced Settings
- **Fix gaps in non-trading hours:** Maintains alignment during extended hours and weekends (recommended: ON)
- Prevents visual gaps during forex weekend closures
- Ensures consistent display during crypto 24/7 trading
- Improves backtesting reliability
## Best Practices
1. **Pair with Price Action:** Use alongside HTF price candles indicator for complete picture
2. **Start Simple:** Enable 2-3 timeframes initially (e.g., 15m, 1H, 4H), add more as needed
3. **Match Settings:** Use same candle width/spacing as companion price indicator for visual alignment
4. **Scale Appropriately:**
- Use **Global scale** (Method 2) when comparing timeframes
- Use **Per-HTF scale** (Method 1) for pattern analysis within each timeframe
- Use **Manual scale** (Method 3) for consistent day-to-day comparison
5. **Watch for Volume Clusters:** High volume appearing simultaneously across multiple HTFs signals significant market events
6. **Confirm Breakouts:** Always check if volume supports the price movement across higher timeframes
7. **Extended Hours:** Keep "Fix gaps" enabled for 24/7 markets (Forex, Crypto) and weekend analysis
## Technical Notes
- **Timezone:** All calculations use America/New_York timezone for consistency
- **Real-time Updates:** Volume and timers update on each tick during market hours
- **Performance:** Optimized with max_bars_back=5000 for extensive historical analysis
- **Compatibility:** Works on all instruments with volume data (Stocks, Forex, Crypto, Futures)
- **Gap Handling:** Uses `barmerge.gaps_off` to fill data gaps during non-trading periods
- **Backtesting:** Uses `lookahead=barmerge.lookahead_on` for stable historical data without repainting
- **Data Continuity:** Automatically handles market closures, weekends, and extended hours
## Updates & Improvements
**Version 2.0 (Current):**
- ✅ Fixed alignment issues during extended hours and weekends
- ✅ Eliminated repainting in backtesting
- ✅ Added gap-filling technology for continuous display
- ✅ Improved data synchronization across all timeframes
- ✅ Enhanced NA value handling for data integrity
- ✅ Added advanced settings group for user control
## Support
For questions, suggestions, or feedback, please comment on the publication or message the author.
---
**Disclaimer:** This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always perform your own analysis and implement proper risk management before making trading decisions.
Indicator
Volumetric Compressed MAVCMA (Volumetric Compressed Moving Average) uses the compressor and weighted standard deviation functions originally translated to pinescript by @gorx1 to plot moving averages in order to use for entry confirmation.
🔹 Concepts and Idea:
When we do music we always use different kinds of filters (low-pass, high pass, etc) for equalization and filtering itself. That stuff we use in finance as well. What we also always use in music are compressors, there dynamic processors that automatically adjust volume so it will be more consistent. Almost all the cool music you hear is compressed (both individual instruments (especially vocals) and the whole track afterwards), otherwise stuff will be too quite and too weak to flex on it, and also DJing it would be a nightmare.
🔹 Model:
I don't wanna explain it all in statistical / DSP way for once.
First of all, I think the population of volumes is log-normally distributed, so let's take logs of volumes, now we have a ~ normally distributed data. We take linearly weighted mean, add and subtract linearly weighted standard deviation from it, these would be our thresholds, the borders between different kinds of volumes explained before.
The upper threshold is for downward compression, that will not let volume pass it higher.
The lower threshold is for upward compression, all the volumes lower than this threshold will be brought up to the threshold's level.
Then we apply multipliers to the thresholds in order to adjust em and find the sweet spots. We do it the same way as in sound engineering when we don't aim for overcompression, we adjust the thresholds until they start to touch the signal and all good.
Afterwards, we delete all the number 1 and number 3 volume, leaving us exclusively with the clear main component, ready to be processed further.
We return the volumes to dem real scale.
For more info on Volume Compression it's highly advised to check @gorx1's initial script Volume Compressor
🔹 Settings:
MA Type: Moving average type to be used for comparison after calculating the compressed version of volume. This creates the second line after the compression line, so we can consider crossovers for confirmation entries.
Upward threshold: Upward threshold where the compression of volume is calculated. Increasing usually causes smoother lines.
Downward threshold: Downward threshold where the compression of volume is calculated. Decreasing usually causes smoother lines.
Compression Lookback: The Main lookback window of a volume that is used for compression. Increasing this would provide smoother lines but might cause delayed signals. Decreasing means more signals, but might cause whiplash and distorted signals.
Comparative Lookback: This is our lookback to be used with our ma type selection. There is no static better or worse lookback value for this indicator. It should be adjusted based on the pair.
🔹 Where to use:
This indicator should be used as another confirmation tool for your entry signals in your existing strategy/market following combination. Green dots (crossovers) mean bullish movement is expected, and red dots (crossbounders) mean bearish movement is expected. Automated crossover alerts are available. A reminder is that this kind of indicator should not be used on its own for trading, but rather should be used as a confirmation along with your trend detection and main entry indicators to provide additional confidence.
If you want to know under the hood, read the How it works section below.
🔹 How it works:
//This is our main compression calculation, which is used for the first line.
Compressed_out = compressor(volume, len_window, up_thresh, down_thresh)
//This is the secondary ratio calculation that we use for the second line.
Comp_ma = ma(ma_type, close * compressed_out, len_ml) / ma(ma_type, compressed_out, len_ml)
Vwma = ma(ma_type, close, len_window)
We calculate the ratio of the compressed volume and plot it against the base MA. Base MA's length is determined by the Compression Lookback input compared to the Comperative Lookback that is used for the compressed version. This provides us with another possible confirmation indicator that can be used to take advantage of volume ranges. Indicator
VWAP Multi-TimeframeThis is a multi-timeframe VWAP indicator that provides volume weighted average price calculations for the following time periods:
15min
30min
1H
2H
4H
6H
8H
12H
1D
1W
1M
3M
6M
1Y
You can use the lower timeframes for short term trend control areas and use the longer timeframes for long term trend control areas. Trade in the direction of the trend and watch for price reactions that you can trade when price gets close to or touches any of these levels.
This indicator will provide a data plot value of 1 for bullish when price is above all VWAPs that are turned on, -1 for bearish when price is below all VWAPs that are turned on and 0 for neutral when price is not above or below all VWAPs. Use this 1, -1, 0 value as a filter on your signal generating indicators so that you can prevent signals from coming in unless they are in the same direction as the VWAP trend.
Features
Trend direction value of 1, -1 or 0 to send to external indicators so you can filter your signal generating indicators using the VWAP trend.
Trend table that shows you whether price is above or below all of the major VWAPs. This includes the daily, weekly, monthly and yearly VWAPs.
Trend coloring between each VWAP and the close price of each candle so you can easily identify the trend direction.
Customization
Set the source value to use for all of the VWAP calculations. The default is HLC3.
Turn on or off each VWAP.
Change the color of each VWAP line.
Change the thickness of each VWAP line.
Turn on or off labels for each VWAP or turn all labels on or off at once.
Change the offset length from the current bar to the label text.
Change the label text color.
Turn on or off trend coloring for each VWAP.
Change the color for up trends and down trends.
Turn on or off the trend direction display table.
Change the location of the trend direction display table.
Adjust the background and text colors on the trend direction display table.
How To Use The Trend Direction Filtering Feature
The indicator will provide a data plot value of 1 for bullish when price is above all of the VWAPs that are turned on, a value of -1 for bearish when price is below all of the VWAPS that are turned on and a value of 0 for neutral when price is above and below some of the VWAPs that are turned on.
The name of the value to use with your external indicators will show up as: VWAP Multi-Timeframe: Trend Direction To Send To External Indicators
Make sure to use that as your source on your external indicators to get the correct values.
This 1, -1 or 0 value can then be used by another external indicator to tell the indicator what is allowed to do. For instance if you have another indicator that provides buy and sell signals, you can use this trend direction value to prevent your other indicator from giving a sell signal when the VWAP trend is bullish or prevent your other indicator from giving a buy signal when the VWAP trend is bearish.
You will need to program your other indicators to use this trend filtering feature, but this indicator is already set up with this filtering code so you can use it with any other indicator that you choose to filter(if you know how to customize pine script).
Markets You Can Use This Indicator On
This indicator uses volume and price to calculate values, so it will work on any chart that provides volume and price data.
Indicator
Volume Pressure Analysis - Live DataVolume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide
This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour.
________________________________________
Key Functional Segments
1. Inputs and Configuration
Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts.
2. Volume Data Calculations
The indicator calculates three key volume metrics:
• volToday: The current day’s volume.
• volAvg: The average volume over the user-defined SMA period (default is 20 bars).
• volPct: The current volume as a percentage of the average.
This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness.
3. Volume Pressure Calculation
The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session.
4. Visual Representation (Progress Bars)
The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth.
5. Table Display
A compact table is drawn on the chart showing:
• Buy pressure percentage and corresponding bar.
• Sell pressure percentage and corresponding bar.
• Volume percentage compared to the recent average.
This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays.
________________________________________
How Traders Benefit from This Indicator
• Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction.
• Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves.
• False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries.
• Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive.
________________________________________
Basic Usage Guide
1. Add the script to your PulseWire chart and set your preferred SMA length for volume comparison.
2. Customize the table’s position using the X and Y settings for clarity and alignment.
3. Interpret the outputs:
o A higher red bar indicates dominant sell pressure.
o A higher green bar indicates dominant buy pressure.
o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction.
4. Apply to trading decisions:
o High buy pressure and high volume may indicate a strong long opportunity.
o High sell pressure and high volume may support short setups.
o Low volume or conflicting signals may call for caution.
5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups.
________________________________________
Practical Example
• Sell Pressure: 70% → Suggests strong seller control; potential for short setups.
• Buy Pressure: 30% → Weak buying interest; long trades may carry risk.
• Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity.
________________________________________
Tips for New Traders
• Use this indicator as a confirmation tool rather than a standalone strategy.
• Begin on higher timeframes (4-hour or daily) to develop familiarity.
• Compare multiple examples to identify reliable patterns over time.
• Always incorporate proper risk management, including stop losses.
________________________________________
Disclaimer from aiTrendview
This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Indicator
Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW
A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers.
Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation.
🔵 CONCEPTS
Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers.
Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts.
High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance.
Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars.
🔵 FEATURES
Detects pivot-based resistance (highs) and support (lows) using a customizable range length.
Wraps these levels in volume-weighted bands that expand/contract based on percentile volume.
Color fill intensity increases with rising volume pressure, creating a live histogram feel.
When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone.
Bar coloring highlights the candles that generated this high-volume behavior (orange by default).
Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity.
🔵 HOW TO USE
Identify volume-confirmed resistance and support zones for potential reversal or breakout setups.
Focus on levels with intense histogram fill and circle markers —they indicate strong participation.
Use bar coloring to track when key activity started and align it with broader market context.
Works well in combination with order blocks, trend indicators, or liquidity zones.
Ideal for day traders, scalpers, and volume-sensitive setups.
🔵 CONCLUSION
Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit. Indicator
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table.
What It Does
Monitors volume for each bar and compares it to an average over a user-defined lookback period.
Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume.
Triggers an alert when current volume exceeds the threshold percentage above the average.
Displays a table on the chart with:
Current Volume
Average Volume
Threshold Percentage
Optional empty row for spacing/formatting
How It Works
User Inputs:
lookbackPeriods: Number of bars used to calculate the average volume.
thresholdPercent: % above the average that triggers a volume spike alert.
smoothingType: Type of moving average used for volume calculation.
textColor, bgColor: Formatting for the display table.
tablePositionInput: Where the table appears on the chart (e.g., Bottom Right).
Toggles for showing/hiding parts of the table.
Volume Calculations:
Calculates current bar's volume.
Calculates average volume using the selected smoothing method.
Computes the threshold: avgVol * (1 + thresholdPercent / 100).
Compares current volume to threshold.
Table Display:
Dynamically creates a table with volume stats.
Adds rows based on user preferences.
Alerts:
alertcondition fires when currentVol crosses above the calculated threshold.
Message: "Volume Threshold Exceeded"
Usage Examples
Example 1: Spotting High Activity
Apply the script to a stock like AAPL on a 5-minute chart.
Set lookbackPeriods to 20 and thresholdPercent to 30.
Use EMA for more reactive volume tracking.
When volume spikes more than 30% above the 20-period EMA, an alert triggers.
Example 2: Day Trading Filter
For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT).
Set thresholdPercent to 50 to catch only strong surges.
Position the table at the top left and reduce visible info for a clean layout.
Example 3: Long-Term Context
On a daily chart, use SMA and set lookbackPeriods to 50.
Helps identify breakout moves supported by strong volume.
How this is different from Trading View's Volume indicator:
The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert.
===== ORIGINAL DESCRIPTION =====
Volume Spike Alert & Overlay
This indicator will display the following as an overlay on your chart:
Current volume
Average Volume
Threshold for Alert
Description:
This indicator will display the current bar volume based on the chart time frame,
display the average volume based on selected conditions,
allow user selectable threshold over the average volume to trigger an alert.
Options:
Average lookback period
Smoothing type
Alert Threshold %
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement in top corner
Usage Example:
I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes.
Set the threshold to 25% in the settings
Create an alert by clicking on the 3 dots on the right of the indicator title on the chart
When the threshold is exceeded the alert will trigger
Indicator
ADR, ATR & VOL OverlayThis is a combined version of 2 of my other indicators:
ADR / ATR Overlay
VOL / AVG Overlay
This indicator will display the following as an overlay on your chart:
ADR
% of ADR
ADR % of Price
ATR
% of ATR
ATR % of Price
Custom Session Volume
Average For Selected Session
Volume Percentage Comparison
Description:
ADR : Average Day Range
% of ADR : Percentage that the current price move has covered its average.
ADR % of Price : The percentage move implied by the average range.
ATR : Average True Range
% of ATR : Percentage that the current price move has covered its average.
ATR % of Price : The percentage move implied by the average true range.
Custom Session Volume : User chosen time frame to monitor volume
Average For Selected Session : Average for the custom session volume
Volume Percentage Comparison : Current session compared to the average (calculated at session close)
Options:
ADR/ATR:
Time Frame
Length
Smoothing
Volume:
Set Custom Time Frame For Calculations
Set Custom Time Frame For Average Comparison
Set Custom Time Zone
Table:
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement
ADR / ATR Example:
The ADR and ATR can be used to provide information about average price moves to help set targets, stop losses, entries and exits based on the potential average moves.
Example: If the "% of ADR" is reading 100%, then 100% of the asset's average price range has been covered, suggesting that an additional move beyond the range has a lower probability.
Example: "ADR % of Price" provides potential price movement in percentage which can be used to asses R/R for asset.
Example: ADR (D) reading is 100% at market close but ATR (D) is at 70% at close. This suggests that there is a potential (coverage) move of 30% in Pre/Post market as suggested by averages.
Custom Volume Session Example:
Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York.
When the time frame for the calculation is closed, the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table.
In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day.
Notes:
Times must be entered in 24 hour format. (1pm = 13:00 etc.)
Volume indicator is for Intra-day time frames, not > Day.
How I use these values:
I use these calculations to determine if a ticker symbol has the necessary range to achieve target gains, to determine if the price oscillation is within "normal" ranges to determine if the trading day will be choppy, and to determine placement of stops and targets within average ranges in combination with support, resistance and retracement levels.
Indicator
