Volatility Squeeze Pro [JOAT]
Volatility Squeeze Pro — Advanced Volatility Compression Analysis System
This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis.
Why This Combination Provides Unique Analytical Value
Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches:
1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average
2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges
3. **Directional Momentum**: Measures where price sits within its recent range
The problem with using these individually:
- Standard deviation alone doesn't account for intraday volatility
- ATR alone doesn't consider closing price clustering
- Momentum alone doesn't provide volatility context
- No single measurement captures the complete volatility picture
This indicator's originality lies in creating a comprehensive volatility analysis system that:
**Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup
**Provides Momentum Context**: Shows directional bias during compression periods
**Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system
**Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types
Technical Innovation and Originality
While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in:
1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system
2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods
3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction
4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration
How the Components Work Together Analytically
The three components create a comprehensive volatility analysis framework:
**Standard Deviation Component**: Measures closing price dispersion around the mean
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
**ATR Channel Component**: Measures actual trading range volatility
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
**Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
// This condition indicates closing prices are clustering more tightly
// than the typical trading range would suggest
**Momentum Context Component**: Provides directional bias during compression
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
The analytical relationship creates a system where:
- Squeeze detection identifies WHEN volatility compression occurs
- Momentum analysis shows WHERE price is positioned during compression
- Combined analysis provides both timing and directional context
How the Volatility Comparison Works
The indicator compares two volatility measurements:
Standard Deviation Bands
These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract.
// Standard deviation bands calculation
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
ATR-Based Channels
These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion.
// ATR-based channels calculation
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
The Squeeze Condition
A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels:
// Squeeze detection
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
This condition indicates that closing price volatility has compressed relative to the overall trading range.
The Momentum Component
The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing:
// Momentum calculation
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
Positive values indicate price is above the midpoint of its recent range; negative values indicate below.
Why Display Both Together
The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information:
1. Is volatility currently compressed? (squeeze status)
2. Where is price leaning within the current range? (momentum)
These are observations about current conditions, not predictions about future movement.
Visual Elements
Momentum Histogram — Bars showing momentum value
- Green shades: Positive momentum (price above range midpoint)
- Red shades: Negative momentum (price below range midpoint)
- Brighter colors: Momentum increasing
- Faded colors: Momentum decreasing
Squeeze Dots — Circles on the zero line
- Red: Squeeze condition active
- Green: No squeeze condition
Release Markers — Triangle markers when squeeze condition ends
Dashboard — Current readings and status
Color Scheme
Squeeze Active — #FF5252 (red)
No Squeeze — #4CAF50 (green)
Momentum Positive — #00E676 / #81C784 (green shades)
Momentum Negative — #FF5252 / #E57373 (red shades)
Inputs
Standard Deviation Bands:
Length (default: 20)
Multiplier (default: 2.0)
ATR Channels:
Length (default: 20)
Multiplier (default: 1.5)
ATR Period (default: 10)
Momentum:
Length (default: 12)
Smoothing (default: 3)
How to Read the Display
Red dots indicate the squeeze condition is present
Green dots indicate normal volatility relationship
Histogram direction shows current momentum bias
Histogram color brightness shows whether momentum is increasing or decreasing
Alerts
Squeeze condition started
Squeeze condition ended
Squeeze ended with positive momentum
Squeeze ended with negative momentum
Extended squeeze (8+ bars)
Important Limitations and Realistic Expectations
Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements
Many compression periods do not result in significant price expansion or directional moves
Momentum direction during compression does not reliably indicate future breakout direction
This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility
False signals are common—not every squeeze leads to tradeable price movement
Different parameter settings will produce different compression detection sensitivity
Market conditions, news events, and fundamental factors often override technical volatility patterns
No volatility indicator can predict the timing, direction, or magnitude of future price movements
This tool should be used as one component of comprehensive market analysis
Appropriate Use Cases
This indicator is designed for:
- Volatility state analysis and monitoring
- Educational study of volatility relationships
- Multi-dimensional volatility assessment
- Supplementary analysis alongside other technical tools
- Understanding market compression/expansion cycles
This indicator is NOT designed for:
- Standalone trading signal generation
- Guaranteed breakout prediction
- Automated trading system triggers
- Market timing precision
- Replacement of fundamental analysis
Understanding Volatility Analysis Limitations
Volatility analysis, while useful for understanding market conditions, has inherent limitations:
- Past volatility patterns do not guarantee future patterns
- Compression periods can extend much longer than expected
- Expansion periods may be brief and insufficient for trading
- External factors (news, fundamentals) often override technical patterns
- Different markets and timeframes exhibit different volatility characteristics
— Made with passion by officialjackofalltrades
Volumeanalysis
Relative Volume Context [Alturoi]Relative Volume Context is an advanced volume analysis indicator designed to help traders understand whether current volume is truly unusual—or simply normal for that moment in time.
Unlike traditional volume or basic relative volume tools, this indicator models expected volume based on historical time-based behavior (minutes, hours, days, sessions) and compares it directly to what is happening now.
The result is clear, structured insight into:
Unusual participation
Abnormal activity
Quiet vs active market conditions
When volume confirms price —and when it doesn’t
This tool is built for day traders and swing traders who want volume context , not just volume bars.
📌 What Problem This Indicator Solves
Raw volume is deceptive.
High volume at the open, low volume at lunch, and rising volume into the close are normal market behaviors —yet most indicators treat them as equal.
Relative Volume Context fixes this by asking a better question:
“Is today’s volume high or low compared to what normally happens at this exact time?”
By conditioning volume expectations on time and session structure , the indicator filters out noise and highlights moments where participation genuinely deviates from the norm.
🧩 How Relative Volume Context Works (Conceptually)
At its core, the indicator compares:
Actual Volume
Expected Volume for this time bucket
A time bucket can include combinations such as:
Minute of the hour
Hour of the trading day
Day of the week or month
Broader calendar structure (months / quarters)
Expected volume is calculated using historical data for that same bucket , creating a fair, apples-to-apples comparison.
This produces several meaningful outputs:
Expected Volume: the typical volume level for the current time context.
Difference: actual minus expected.
Surprise (%): a normalized measure of how large the deviation is relative to expectation.
Z-Score (Mean mode): a statistical measure of how extreme current volume is compared to its historical distribution.
Sample Size & Confidence: transparency into how much historical data supports the expectation.
🧠 Built for Clarity and Performance
Efficient data handling for intraday charts
Adaptive period selection (Auto Selection)
Optional forecast of expected future volume
Clean HUD showing context, confidence, and interpretation
🛠 How to Use It (Best Practices)
Use it with price , not instead of price.
Treat high readings as context , not automatic signals.
Combine with structure, levels, and market conditions.
Pay attention to Confidence / N before trusting extreme readings.
Avoid over-interpreting early history with low sample sizes.
👥 Who This Indicator Is For
Day traders trading U.S. equities
Swing traders monitoring participation and follow-through
Traders who value context over hype
Users who want transparency, not black-box signals
Subscribe to Alturoi ’s private, invite-only indicators designed to support informed trading decisions.
Volume is most powerful when it explains why price is moving—not when it’s used in isolation.
📊 Understanding the HUD: What Each Metric Actually Means
The HUD is designed to answer one core question:
“Is this volume unusual in a way I should care about?”
Raw volume on its own is misleading. Each field in the HUD exists to remove a specific form of self‑deception and replace it with context you can reason about.
🧭 Bucket — Unusual compared to when?
Volume has a strong time structure. A spike at 9:31 AM means nothing unless it’s compared to other 9:31 AM bars — not lunch hours, not overnight, not Fridays.
The bucket defines the comparison group:
Same minute of the hour
Same hour of the day
Same day of the week, month, or quarter
Without this, expected volume becomes a global average — statistically wrong and operationally misleading.
⚙️ Method (Mean vs Percentile) — What kind of “normal” am I using?
Different methods answer different trading questions:
Mean: fast, stable, symmetric, and enables Z‑scores. Best when volume distributions are smooth.
Percentile: robust to outliers and news spikes. Answers how rare this volume is historically.
Mean measures deviation from equilibrium. Percentile measures rarity. If you don’t know the method, you can’t interpret the signal correctly.
🔢 N (Sample Size) — Is this statistic even trustworthy?
Statistics without sample size are vibes.
N = 12 → noise dressed as math
N = 200 → structure
Two identical surprise readings with different N values are not the same signal. This single number prevents false confidence.
📐 Confidence — How much weight should I give this?
Confidence is a human‑readable compression of N:
Low → exploratory only
Medium → usable with context
High → structurally reliable
This isn’t judgment — it’s statistical humility.
📊 Expected — Expected relative to what baseline?
Expected volume is the anchor of everything else.
Without seeing it:
You can’t tell whether surprise comes from a low or high base
You can’t sanity‑check the model
If Expected looks wrong, the signal is wrong — full stop.
⭐ Surprise (%) — How large is the deviation in practical terms?
Raw differences don’t scale. Surprise % normalizes across symbols, timeframes, and regimes.
A +80% surprise on SPY at 10:15 matters. A +5% surprise usually doesn’t. This is the actionability metric.
📐 Z‑Score — Is this statistically extreme or just mildly off?
Z‑score adds distribution context:
0.5σ → normal fluctuation
2σ → uncommon
3σ → rare, regime‑relevant
Two bars can share the same % surprise but have very different Z‑scores if volatility differs. Z tells you whether the market itself considers this bar “weird.”
The deeper point
Most volume indicators stop at: “Volume is high.”
Relative Volume Context forces the harder, more honest question:
“High compared to what, how rare, and how reliable is that comparison?”
That’s the difference between decorative indicators and decision‑support instruments .
🔍 Why This Matters for Day & Swing Traders
Relative Volume Context is not a signal generator . It is a decision-support tool .
Practical uses include:
Identifying unusual participation during breakouts or breakdowns
Distinguishing real interest from routine session volume
Avoiding false confidence in moves occurring on “normal” volume
Spotting regime shifts or news reactions (participation shocks)
Understanding when low volume truly signals lack of interest
Used correctly, it helps traders answer:
“Is this move being supported by abnormal activity, or is it just time-of-day noise?”
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. Trading involves risk, and past market behavior does not guarantee future results. Always use proper risk management and independent judgment.
Volume Profile Lite [JOAT]
Volume Profile Lite — Simplified Volume-at-Price Analysis
Volume Profile Lite creates a histogram showing volume distribution across price levels using a proprietary lightweight calculation method. It identifies the Point of Control (POC), Value Area High, and Value Area Low—key concepts from auction market theory—in an optimized, easy-to-read format that won't slow down your charts.
Why This Script is Protected
This script is published as closed-source to protect the proprietary volume distribution algorithm and the optimized Value Area calculation methodology from unauthorized republishing. The specific implementation of volume allocation across price rows, the buy/sell volume separation logic, and the efficient POC detection system represents original work that provides a unique lightweight alternative to standard volume profile implementations.
What Makes This Indicator Unique
Unlike heavy volume profile indicators that can slow down charts, Volume Profile Lite:
Uses an optimized algorithm designed for performance
Separates buying and selling volume for additional insight
Provides clean visual presentation without chart clutter
Includes extending reference lines for key levels
Features a dashboard with price position relative to POC
What This Indicator Does
Distributes volume across price rows to create a visual profile histogram
Identifies the Point of Control (highest volume price level)
Calculates Value Area (where specified percentage of volume traded)
Separates buying and selling volume for each price level
Extends key levels as reference lines on the chart
Highlights the POC row with a distinct border
Core Methodology
The indicator uses a proprietary approach to volume-at-price analysis:
Price Row Division — The lookback range is divided into configurable price rows (default: 24 rows)
Volume Distribution — Each bar's volume is allocated to the price rows it touches. If a bar spans multiple rows, volume is distributed proportionally.
Buy/Sell Separation — Volume is classified based on bar direction (close >= open = buying volume, close < open = selling volume)
POC Detection — The row with maximum accumulated volume is identified as the Point of Control
Value Area Calculation — Starting from POC, expands outward (alternating up and down) until target volume percentage is captured
Key Concepts Explained
Point of Control (POC) — The price level with the highest volume concentration. Often acts as a magnet for price and represents "fair value" for the analyzed period. Price tends to return to POC.
Value Area High (VAH) — Upper boundary of the value area zone. Acts as resistance when price is below, support when price is above.
Value Area Low (VAL) — Lower boundary of the value area zone. Acts as support when price is above, resistance when price is below.
Value Area — Price range containing specified percentage (default 70%) of total volume. This is where most trading activity occurred.
Visual Features
Volume Histogram — Horizontal bars showing volume at each price level
Buy/Sell Coloring — Green portions show buying volume, red shows selling volume
POC Highlight — The POC row has a distinct orange border and fill
POC Line — Horizontal line extending from POC (optional extension to right)
Value Area Lines — Dashed blue lines at VAH and VAL
Value Area Fill — Subtle blue fill between VAH and VAL
Color Scheme
Up Volume Color — Default: #26A69A (teal) — Buying volume
Down Volume Color — Default: #EF5350 (red) — Selling volume
POC Color — Default: #FF9800 (orange) — Point of Control
Value Area Color — Default: #2196F3 (blue) — VAH/VAL lines and fill
Dashboard Information
The on-chart table (bottom-right corner) displays:
POC price level
Value Area High price level
Value Area Low price level
Current price position relative to POC (ABOVE POC, BELOW POC, or AT POC)
Distance from current price to POC as percentage
Inputs Overview
Calculation Settings:
Lookback Period — Number of bars to analyze (default: 100, range: 20-500)
Number of Rows — Price level divisions for the profile (default: 24, range: 10-50)
Value Area % — Percentage of volume for value area calculation (default: 70%, range: 50-90%)
Visual Settings:
Up/Down Volume Colors — Customizable buy/sell colors
POC Color — Point of Control highlighting
Value Area Color — VAH/VAL line and fill color
Profile Width — Visual width of histogram in bars (default: 30, range: 10-100)
Show POC Line — Toggle POC horizontal line
Show Value Area — Toggle VAH/VAL lines and fill
Show Dashboard — Toggle the information table
Extend Lines — Project POC and VA lines further right
How to Use It
For Support/Resistance:
Use POC as a potential support/resistance reference point
Price often gravitates back to POC (mean reversion)
VAH acts as resistance when approaching from below
VAL acts as support when approaching from above
For Trend Analysis:
Price above POC suggests bullish control
Price below POC suggests bearish control
Breaking out of Value Area often leads to trending moves
Returning to Value Area suggests failed breakout
For Entry/Exit:
Enter longs near VAL with stops below
Enter shorts near VAH with stops above
Target POC for mean-reversion trades
Use POC as a trailing stop reference in trends
Alerts Available
VPL Cross Above POC — Price crosses above Point of Control
VPL Cross Below POC — Price crosses below Point of Control
VPL Cross Above VAH — Price breaks above Value Area High
VPL Cross Below VAL — Price breaks below Value Area Low
Best Practices
Use longer lookback periods for more significant levels
Increase row count for more precise level identification
POC from higher timeframes is more significant
Combine with other indicators for confirmation
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
RegimeLens [JOAT]RegimeLens — Market Regime Detection and Classification
RegimeLens identifies whether the market is in a Trending, Ranging, or Volatile state using a proprietary combination of trend strength analysis, volatility measurement, and percentile-based classification. Understanding the current market regime helps traders adapt their approach to current conditions—because the strategy that works in a trend will fail in a range.
Why This Script is Protected
This script is published as closed-source to protect the proprietary regime classification algorithm and the specific threshold calibration methodology from unauthorized republishing. The unique combination of ADX analysis, Bollinger Band width percentiles, ATR percentile ranking, and the transition zone logic represents original work that goes beyond standard regime detection approaches.
What Makes This Indicator Unique
Unlike simple trend indicators, RegimeLens:
Classifies markets into four distinct regimes, not just "trending" or "not trending"
Uses percentile-based volatility analysis for more adaptive classification
Includes a transition zone logic to prevent rapid regime flip-flopping
Tracks regime duration and strength for additional context
Provides visual regime changes with on-chart labels
What This Indicator Does
Classifies market into four regimes: Trend Up, Trend Down, Ranging, or Volatile
Displays Bollinger Bands colored according to current regime
Marks regime changes with on-chart labels
Colors price bars according to detected regime
Tracks regime duration and strength metrics
Provides comprehensive dashboard with all regime metrics
Core Methodology
The indicator analyzes multiple market dimensions to determine the current regime:
Trend Strength Analysis (ADX) — Measures directional movement strength regardless of direction. High ADX indicates trending; low ADX indicates ranging.
Directional Bias (DI+ vs DI-) — Determines whether bullish or bearish forces dominate when a trend is detected.
Volatility Expansion/Contraction (BB Width) — Tracks Bollinger Band width relative to historical norms using percentile ranking.
ATR Percentile Ranking — Compares current ATR to its historical distribution to identify abnormally high volatility conditions.
Regime Definitions
Trend Up (Green) — ADX above trending threshold with DI+ > DI- and price above basis. Strong directional movement with bullish bias confirmed.
Trend Down (Red) — ADX above trending threshold with DI- > DI+ and price below basis. Strong directional movement with bearish bias confirmed.
Ranging (Yellow) — ADX below ranging threshold indicating sideways consolidation. Low directional strength suggests mean-reversion strategies may work better.
Volatile (Purple) — Both ATR percentile AND BB width percentile above the high volatility threshold. Indicates unstable, potentially dangerous conditions where normal strategies may fail.
The classification uses a priority system where high volatility conditions take precedence, followed by trend strength evaluation, with ranging as the default state for low-activity periods.
Regime Strength Calculation
Each regime has an associated strength score (0-100%) that indicates how firmly the market is in that state:
For trends: Based on ADX relative to threshold plus BB percentile
For ranging: Based on inverse ADX plus inverse BB percentile
For volatile: Based on ATR percentile
This helps identify when regime transitions may be approaching—declining strength often precedes regime changes.
Visual Features
Regime-Colored Bollinger Bands — Upper, basis, and lower bands all colored by current regime
Band Fill — 85% transparent fill between bands in regime color
Background Highlighting — Optional 90% transparent background in regime color
Regime Change Labels — On-chart markers when regime changes (arrows for trends, diamond for range, X for volatile)
Bar Coloring — Optional price bar coloring by regime
Color Scheme
Trend Up Color — Default: #00C853 (bright green)
Trend Down Color — Default: #FF1744 (bright red)
Range Color — Default: #FFD600 (yellow)
Volatile Color — Default: #AA00FF (purple)
Dashboard Information
The on-chart table (top-right corner) displays:
Current regime name with color coding
ADX value (highlighted if above trend threshold)
DI+ / DI- comparison with directional coloring
Bollinger Band width percentage
Volatility percentile (highlighted if above volatile threshold)
Regime strength percentage
Duration in bars since last regime change
Inputs Overview
Detection Settings:
ADX Length — Period for ADX/DI calculation (default: 14, range: 5-50)
BB Length — Period for Bollinger Bands (default: 20, range: 10-100)
BB Multiplier — Standard deviation multiplier (default: 2.0, range: 1.0-4.0)
ATR Length — Period for ATR calculation (default: 14, range: 5-50)
Thresholds:
Trending ADX Threshold — ADX level above which market is considered trending (default: 25, range: 15-50)
Ranging ADX Threshold — ADX level below which market is considered ranging (default: 20, range: 10-40)
High Volatility Percentile — Percentile above which volatile regime is triggered (default: 75, range: 50-95)
Visual Settings:
Trend Up/Down/Range/Volatile Colors — Fully customizable color scheme
Show Background — Toggle regime-colored background
Show Regime Bands — Toggle Bollinger Bands display
Show Dashboard — Toggle the information table
Color Price Bars — Toggle bar coloring by regime
How to Use It
Strategy Selection:
Trend Up/Down — Use trend-following strategies (breakouts, pullbacks, moving average systems)
Ranging — Use mean-reversion strategies (support/resistance bounces, oscillator extremes)
Volatile — Reduce position size, widen stops, or stay flat until conditions stabilize
For Regime Change Trading:
Watch for regime change labels as potential entry points
Trend regime starting often signals breakout opportunity
Ranging regime starting after trend may signal consolidation before continuation
Volatile regime is a warning to be cautious
For Risk Management:
Increase position size during strong trend regimes
Decrease position size during volatile or ranging regimes
Use regime strength to gauge conviction
Monitor duration—very long regimes may be due for change
Alerts Available
MRD Trend Up — Market regime changed to trending bullish
MRD Trend Down — Market regime changed to trending bearish
MRD Ranging — Market regime changed to sideways consolidation
MRD Volatile — Market regime changed to high volatility state
MRD Any Change — Notification on any regime transition
Best Practices
Don't fight the regime—adapt your strategy to current conditions
Volatile regime is a warning sign, not a trading signal
Use regime strength to gauge how established the current state is
Combine with other indicators appropriate for the detected regime
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Delta Pressure SpectrumWhat this indicator is (brief)
Delta Pressure Spectrum (DPS-3) is a volume-pressure oscillator that estimates buy vs sell imbalance (a delta proxy), then normalizes it into a robust z-score so “significant” pressure means the same thing across different volatility regimes and market conditions. It visualizes that pressure as delta candles + a histogram, and only “lights up” with three breach tiers (plus an ultra-rare white core) when the move is statistically extreme for the current environment.
How to use it:
1) Read it like a pressure gauge, not an entry signal
-Histogram/candle height = intensity of net pressure (buy-dominant vs sell-dominant).
It’s best at telling you: “Is this move real pressure or just price wiggling?”
2) The 3 tiers tell you “how abnormal” the pressure is
-Tier-1 (weak breach): meaningful but common; “something’s happening.”
-Tier-2 (strong breach): rare enough to care; often aligns with real expansions / squeezes / liquidation events.
-Tier-3 (extreme breach): statistically extreme; often shows climactic behavior (either continuation impulse or blow-off/flush conditions).
-White core: only when Tier-3 overshoots hard—treat as “exceptional event.”
Key idea: tiers are adaptive. Tier-2 on BTC 1m and Tier-2 on ES 1h should both represent “strong for that regime.”
3) Best ways to trade with it (high-signal)
-Trend continuation confirmation: In an uptrend, repeated Tier-2/Tier-3 on the up side = real demand; avoid fading unless structure breaks.
-Exhaustion / climax watch: Tier-3 + white core after an extended run = “crowded pressure.” That can precede either: continuation (if structure holds), or reversal / mean reversion (if structure fails).
So you use it as a warning light, then let price structure confirm.
-Compression → expansion detection:
-Quiet baseline for a while, then sudden Tier-2/Tier-3 = expansion regime shift.
-Divergence (use carefully): Price makes new high, DPS-3 fails to reach prior tier intensity → weakening participation. This is most useful on HTFs or at major levels.
4) What the alerts should mean (how you set them)
-Tier-3 breach alerts: your “something serious just hit the tape” alert.
-Pressure flip alerts: best used as contextual reversal confirmation (it requires strong context in your logic).
-White core alert: extremely rare “event mode” notification—use sparingly.
5) One simple rule that keeps you out of trouble
-Don’t fade Tier-2/Tier-3 pressure just because it’s extreme. Fade only when price structure says the move failed (break of trend / reclaim failure / key level loss). DPS-3 tells you strength, structure tells you directional validity.
Volume + VWAP + Prior Session Levels DashboardVolume Spike + VWAP + Session Levels Dashboard
This indicator is a real-time market context dashboard designed to help traders quickly understand participation, value, and key reference levels without cluttering the chart with multiple indicators.
Instead of plotting lines or signals, the script summarizes critical intraday information into a compact on-chart table, allowing traders to make faster, more informed decisions based on how active the market is, where fair value is, and where important reference levels exist.
Core Concepts Used
This script is built on three widely used market principles:
Relative Volume Participation
Volume-Weighted Average Price (VWAP)
Prior Session Reference Levels
The indicator does not attempt to predict direction. Its purpose is to provide objective context that traders can combine with their own strategies.
How the Indicator Works
1. Volume Spike Analysis (Relative Volume)
Rather than showing raw volume, the script measures how unusual the current bar’s volume is compared to recent activity.
A moving average of volume is calculated using a user-defined lookback period.
Current volume is divided by this average to produce a volume multiple (for example, 2.0× normal volume).
This multiple is translated into a descriptive strength label, ranging from Below Threshold to Legendary.
This approach helps traders immediately recognize when participation is significantly above normal, which often coincides with institutional activity, breakouts, or important reactions near key levels.
2. Daily VWAP (Current and Prior Day)
VWAP (Volume-Weighted Average Price) represents the average price traded, weighted by volume, and is commonly used as a measure of fair value.
This script calculates VWAP internally by:
Accumulating price × volume throughout the day
Dividing by total volume
Automatically resetting at the start of each new trading day
The dashboard displays:
Current day VWAP – real-time session fair value
Prior day VWAP – an important reference from the previous session
Traders often use these levels to evaluate whether price is trading at a premium, discount, or near equilibrium.
3. Previous Day High and Low
The indicator also displays:
Previous day high
Previous day low
These levels frequently act as liquidity targets, support/resistance zones, or reaction points, especially during intraday trading sessions.
Dashboard Design
All information is presented in a two-column dashboard showing:
Metric name
Current value or status
The dashboard can be positioned in any corner of the chart and updates in real time, allowing traders to maintain awareness without constantly switching indicators or timeframes.
How to Use This Indicator
This script is best used as a decision-support tool, not a standalone trading system.
Typical uses include:
Identifying abnormally high volume near important price levels
Evaluating price position relative to VWAP
Monitoring reactions around prior day highs and lows
Staying oriented during fast market conditions without chart clutter
The indicator works on any timeframe and adapts automatically to the instrument’s trading session.
Customization Options
Users can:
Adjust the volume moving average length to define what “normal” volume means
Choose the price source used for VWAP calculation
Change the dashboard’s on-screen position
Summary
The Volume Spike + VWAP + Session Levels Dashboard provides a clear, objective snapshot of market conditions by combining participation, value, and reference levels into a single visual tool. It is designed to help traders answer a simple but critical question:
“Is the market doing something meaningful right now — and where?”
This indicator focuses on context, clarity, and usability for traders who want insight without unnecessary complexity.
Volume Spread Analysis with Cues⚖️Volume Spread Analysis with Cues (VSA)
Volume Spread Analysis with Cues is an indicator that analyzes the relationship between price spread and volume to reveal market intent. Instead of treating volume in isolation, this script classifies each candle into meaningful VSA conditions such as accumulation, distribution, absorption, momentum, exhaustion, and traps.
🔑Key Features
True price spread calculation (optional gap-inclusive mode)
Candle spread analysis
Volume analysis
Candle close quality analysis (strong, weak, or neutral)
Visual emoji cues
Detailed tooltips explaining each signal and its confirmations
Built-in alerts for demand, supply, and trap scenarios
📏 How to Use
This script is context-driven, not a signal generator. It is designed to be used alongside:
Support & resistance
Market structure
Higher-timeframe bias
The strongest setups occur when VSA cues align with key levels and trend direction! Confluence is your friend.
🚨Alerts Included
VSA Demand Cue – potential accumulation or continuation
VSA Supply Cue – potential distribution or absorption
VSA Trap Cue – exhaustion or false breakout behavior
⚠️ Beware
Not every cue is tradable on its own
Confirmation and location are critical
Market Internals Dashboard (Time-Based Adaptive)Market Internals Dashboard (Time-Based Adaptive)
⚠️ IMPORTANT DISCLAIMER
This indicator is for CONFIRMATION purposes only and should NEVER be used as a standalone trading signal.
✅ Always test thoroughly in paper trading first
✅ Use as ONE confluence factor within your complete trading model
✅ Combine with price action, support/resistance, and your strategy rules
✅ Never enter trades based solely on this indicator
❌ Past performance does not guarantee future results
You are responsible for your own trading decisions and risk management.
📊 WHAT THIS INDICATOR DOES
This comprehensive Market Internals Dashboard monitors real-time NYSE and NASDAQ market breadth indicators to help traders identify:
Market Bias - Is the overall market bullish, bearish, or neutral?
Market Strength - How strong is the current move?
Divergences - Are internals confirming price action or warning of reversal?
Chop Zones - When to avoid trading due to choppy conditions
Extreme Levels - Overbought/oversold conditions for potential fades
Sector Rotation - Is money flowing to Value (NYSE) or Tech (NASDAQ)?
Key Market Internals Tracked:
NYSE Internals:
USI:TICK - Net advancing vs declining stocks
USI:ADD - Advance/Decline Line
USI:VOLD - Volume difference (up vol - down vol)
Volume Ratio - Up volume / Down volume
Cumulative TICK - Session momentum
NASDAQ Internals:
USI:TICKQ - NASDAQ tick indicator
USI:ADDQ - NASDAQ Advance/Decline
USI:VOLDQ - NASDAQ volume difference
NASDAQ Volume Ratio
Cumulative TICKQ
Additional Features:
TVC:VIX - Volatility index for risk sentiment
Volume Pulse - Institutional volume detection
TICK Delta - Momentum acceleration/deceleration
Adaptive Extreme Levels - Dynamic overbought/oversold zones
Fade Detection - Mean reversion opportunities
🎯 HOW THIS HELPS YOUR TRADING
1. Confirmation of Bias
If you're looking for longs, check if NYSE/NASDAQ show bullish alignment
Strong confluence when both markets agree with your directional bias
Avoid counter-trend trades when internals strongly oppose your setup
2. Timing Entries
Wait for internals alignment before entering
Use extreme levels for fade opportunities (mean reversion)
TICK Delta shows acceleration - enter on momentum confirmation
3. Risk Management
CHOP DETECTION warns when conditions are unfavorable
Reduce position size or stay flat during "DANGER ZONE" readings
Exit trades early if internals flip against your position
4. Divergence Alerts
When VOLD rises but price falls = potential bullish reversal
When VOLD falls but price rises = potential bearish reversal
Early warning system before price confirms the reversal
5. Session Context
Cumulative TICK shows session-wide bias
"Strong Bull Session" = favor longs, be selective with shorts
"Strong Bear Session" = favor shorts, be selective with longs
⚙️ SETTINGS GUIDE
📊 Dashboard Display
Dashboard Position - Choose where the dashboard appears (Top Right recommended)
Text Size - Adjust for screen resolution (Normal recommended)
Compact Mode - Shows only Overall Status + Scores (useful for small screens)
Color Settings - Customize background colors for different states:
Bullish/Bearish - Clear directional signals
Neutral - No clear bias
Chop/Warning - Avoid trading
No Data - Outside trading hours
💎 Signal Label
Show Signal Label - Diamond marker on chart when important signals trigger
The label's tooltip shows:
Aligned Bullish/Bearish
Strong market moves
Divergences
Extreme levels
Fade opportunities
📈 Market Internals Sources
Data Timeframe - ⚠️ CRITICAL SETTING
'1' minute = MAXIMUM ACCURACY (recommended for live trading)
'5' minute = Lower accuracy, saves memory
'15' minute = Lowest accuracy
💡 For real-time trading, ALWAYS use '1' minute!
RTH Only (9:30-16:00 EST) - Filters data to Regular Trading Hours only
Recommended: ON (internals are only meaningful during RTH)
Show NYSE/NASDAQ Groups - Enable/disable entire sections
Individual Indicators - Toggle specific internals on/off:
USI:TICK - Most reactive, shows immediate sentiment
USI:ADD - Confirms breadth, slower than TICK
USI:VOLD - Shows institutional money flow
Vol Ratio - Relative volume strength
VOLD Trend - Compares VOLD direction vs price direction
Vol Ratio Trend - Compares Vol Ratio vs price
⚙️ Thresholds
TICK/ADD Thresholds - Standard levels for bullish/bearish signals
NYSE TICK: 500 (conservative), 300 (aggressive)
NYSE ADD: 500 (conservative), 300 (aggressive)
NASDAQ TICK: 400 (conservative), 250 (aggressive)
NASDAQ ADD: 400 (conservative), 250 (aggressive)
VOLD Thresholds - Only for display color coding, not scoring
⚙️ Adaptive Extreme Levels
Use Adaptive Extreme Levels - 🔥 KEY FEATURE
ON = Dynamic thresholds based on recent volatility (RECOMMENDED)
OFF = Fixed extreme levels
Range Lookback (minutes) - Time window for calculating extremes
⚠️ IMPORTANT: Effective lookback depends on chart timeframe!
1min chart: max ~40min effective
5min chart: max ~200min effective
15min+ chart: full range available ✅
Recommended:
60min = Quick adaptation to changing volatility
120min = Balanced
180min = Stable (requires 5min+ chart)
Early Session Period - First X minutes after open use reduced lookback
30min = recommended (first half hour)
Prevents false extremes when range is still building
Early Session Multiplier - Reduces lookback during early session
0.50 = 50% of normal lookback (recommended)
0.25 = Very conservative
Extreme % from High/Low - How far from range extremes to trigger
0.90 = 90% of range (conservative)
0.80 = 80% of range (aggressive)
⚙️ Volume Ratio
Vol Ratio Bullish Threshold - e.g., 1.5 = up volume is 1.5× down volume
1.5 = balanced (recommended)
2.0 = more selective
Vol Ratio Extreme Threshold - For extreme signals
2.5 = very strong imbalance (recommended)
⚙️ VOLD Trend
VOLD Trend Period - Bars back for trend comparison
3 = recent trend (recommended for scalping)
5 = broader trend (swing trading)
VOLD Trend Weight - Importance in scoring
1.0 = equal to other indicators (recommended)
⚙️ Vol Ratio Trend
Same as VOLD Trend but for Volume Ratio
📊 Volume Pulse
Volume Pulse Lookback - Rolling average window
30min = balanced (recommended)
15min = sensitive to volume spikes
60min = stable, longer-term context
Shows when volume is:
🔵 Institutional (2.0×+ average)
High Volume (1.3×+ average)
Normal (0.7-1.3× average)
⚠️ Low Volume (<0.7× average)
📊 Cumulative TICK
Tracks session-wide momentum by summing all TICK readings.
Strong Bullish/Bearish - Thresholds for session bias
+3000 / -3000 = strong session bias (recommended)
Cumulative TICK Trend - Lookback - Bars on YOUR chart timeframe
On 15min chart: 3 bars = 45min trend
On 5min chart: 3 bars = 15min trend
Threshold - Minimum change for trend detection
200 = balanced (recommended)
500 = only strong trends
🔄 Fade Logic
Enable Fade Detection - Mean reversion after extremes
When TICK hits extreme (e.g., +1200) then reverses by X points, signals potential fade.
Fade Reversal Amount - How much TICK must reverse
200 = moderate fade (recommended)
300 = stronger confirmation needed
Require ADD Confluence - Fade signal needs ADD confirmation
ON = safer (recommended)
OFF = more signals, less reliable
⚙️ Hysteresis
Use Hysteresis - Prevents signal flickering
ON = recommended (smoother signals)
Hysteresis % - How much value must change to flip state
10% = balanced (recommended)
⚠️ Chop Detection
Warns when market conditions are unfavorable for trading.
TICK Range for Chop - If TICK stays within ±X for lookback period
400 = identifies tight consolidation (recommended)
ADD Threshold for Chop - If ADD is weak
300 = balanced (recommended)
Lookback Period - Bars to analyze
30 = recent conditions (recommended)
Max Score Difference for Chop - If bull/bear scores are similar
40% = identifies indecision (recommended)
Lunch Time Warning - 11:00-13:30 EST
ON = recommended (lunch chop is real!)
Chop Score Interpretation:
0-40% = 🟢 Tradeable
40-70% = 🟡 Choppy (be careful)
70-100% = 🔴 DANGER (avoid trading)
🎯 Scoring
Weights - Importance of each indicator in final score:
TICK Weight: 1.5 (most reactive)
ADD Weight: 1.5 (breadth confirmation)
Vol Ratio Weight: 1.0 (volume strength)
VOLD Trend Weight: 1.0 (trend confirmation)
Vol Ratio Trend Weight: 1.0 (trend confirmation)
Cumulative TICK Trend Weight: 1.5 (session momentum - very important!)
Strong Signal Threshold - Minimum % for "strong" signal
70% = recommended
80% = more selective
🔄 Alignment & Divergence
Min Score Difference for BIAS - How clear the bias must be
30% = recommended
50% = very clear bias required
Threshold for ROTATION Warning - When one market opposes the other
40% = balanced (recommended)
Rotation Types:
ROTATION TO VALUE = NYSE↑ NASDAQ↓ (buy financials/industrials)
ROTATION TO TECH = NASDAQ↑ NYSE↓ (buy tech stocks)
🔔 Alerts
Configure alerts for various conditions:
Aligned Bullish/Bearish (both markets agree)
Rotation Detected (sector rotation)
Strong Signals (70%+ score)
Chop/Danger (avoid trading)
Extreme Levels (overbought/oversold)
Divergences (early reversal warnings)
Fade Signals (mean reversion)
🎓 USAGE EXAMPLES
Example 1: Scalping ES during RTH
Setup:
Data Timeframe: 1 minute (max accuracy)
Chart: 5-minute ES
Looking for long scalp
Check Dashboard:
✅ Overall Status = "ALIGNED BULL"
✅ NYSE Score = 🟢 75%
✅ NASDAQ Score = 🟢 72%
✅ Market Quality = 🟢 OK (chop score <40%)
✅ Volume Pulse = High Volume or Institutional
Action: Enter long on your strategy signal with high confidence
Example 2: Avoiding Bad Trades
Setup:
Your strategy gives long signal
Price looks good
Check Dashboard:
❌ Overall Status = "🔴 AVOID - Both Choppy"
❌ NYSE Chop = 🔴 DANGER (75%)
❌ NASDAQ Chop = 🔴 DANGER (72%)
❌ TICK Range = narrow consolidation
Action: SKIP THE TRADE - Internals warn conditions are unfavorable
Example 3: Fade Opportunity
Setup:
Market pushed to extreme
Looking for reversal
Check Dashboard:
🔻 NYSE FADE SHORT signal appears
⚡ TICK was +1200 (extreme)
📉 Now reversed to +950
✅ ADD confirmed (turning negative)
Action: Consider short entry (with your reversal setup)
Example 4: Divergence Warning
Setup:
ES making new highs
You're in a long position
Check Dashboard:
⚠️ NYSE BEAR DIVERGENCE
📊 VOLD falling while price rising
🟡 Overall Status changing to "MIXED"
Action: Tighten stops or take profits - internals warn momentum fading
💡 BEST PRACTICES
DO:
✅ Test extensively before live trading
✅ Use on 5min or 15min charts for swing trades
✅ Use on 1min or 3min charts for scalping
✅ Combine with your proven strategy
✅ Respect CHOP DETECTION warnings
✅ Use Data Timeframe = 1 for accuracy
✅ Monitor Volume Pulse for institutional activity
✅ Watch for divergences as early warnings
DON'T:
❌ Trade based on internals alone
❌ Ignore chop warnings ("I'll be careful")
❌ Use Data Timeframe >5 for live trading
❌ Trade against aligned strong signals
❌ Overtrade - wait for quality setups
❌ Ignore session context (Cumulative TICK)
🔧 RECOMMENDED SETTINGS
For Day Trading (Scalping):
Data Timeframe: 1
Adaptive Extremes: ON
Range Lookback: 60 minutes
VOLD Trend Period: 3
Cumulative TICK Weight: 1.5 (important!)
Chop Detection: ON
For Swing Trading:
Data Timeframe: 5
Range Lookback: 120 minutes
VOLD Trend Period: 5
Strong Threshold: 75%
📝 NOTES
Market internals are most reliable during regular trading hours (9:30-16:00 EST)
Lunch period (11:00-13:30 EST) often shows choppy behavior
First 30 minutes after open can be erratic - use early session adjustments
Power hours (9:30-10:30 and 15:00-16:00) tend to have cleaner trends
Volume Pulse helps identify when "smart money" is active
🤝 SUPPORT
If you find this indicator helpful, please consider:
⭐ Leaving a positive review
💬 Sharing your trading experience
📈 Supporting my work with a TradingView subscription (any tier helps!)
Creating and maintaining free, high-quality indicators takes significant time and effort. Your support enables me to continue developing tools for the trading community and keep them updated. Thank you! 🙏
Remember: This is a tool, not a system. Your trading success depends on YOUR complete strategy, risk management, and discipline.
Good luck and trade safe! 🚀
Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)
### Overview
This indicator visualizes large notional trading activity by scanning lower-timeframe candles inside each chart bar and highlighting periods where unusually high traded value (volume × price) occurs.
This script is intended to help short-term traders and scalpers identify bursts of aggressive activity, potential absorption zones, and areas of heightened participation, using standard OHLCV data.
Important: This indicator does not access true market order tape or DOM data. It is an approximation based on lower-timeframe OHLCV data provided by TradingView.
What the Indicator Shows
Each bubble represents a lower-timeframe candle where traded notional value exceeds a user-defined threshold.
Bubble size scales with the notional value of that candle.
Green bubbles indicate the lower-timeframe candle closed higher (buy-side pressure approximation).
Red bubbles indicate the lower-timeframe candle closed lower (sell-side pressure approximation).
Bubbles can be plotted at candle closes or wick extremes for contextual analysis.
How It Works
1. Lower-timeframe OHLCV data is requested using `request.security_lower_tf`.
2. Notional value is calculated as volume × price for each micro-candle.
3. The script selects the largest notional events per bar that exceed the minimum threshold.
4. These events are rendered as bubbles on the main price chart.
Intended Use Cases
Scalping and short-term trading
Momentum ignition and continuation analysis
Absorption and failed breakout detection
Effort versus result analysis
Confirmation at key structural levels
Recommended Settings
Lower timeframe: Start with 1 (1 minute). Seconds-based timeframes may not be supported on all feeds.
Minimum notional (USD/USDT):
BTC / ETH: 25,000 – 250,000
Mid-cap assets: 5,000 – 50,000
Adjust based on liquidity and volatility
Max bubbles per bar: 3–8 to avoid visual clutter
Limitations
This indicator does not display individual market orders or aggressor-side execution.
Buy/sell classification is inferred from candle direction, not bid/ask data.
Lower-timeframe data availability depends on the selected symbol and exchange feed.
This tool should not be used as a standalone signal generator.
Best Practices
Use in conjunction with market structure, VWAP, and key price levels.
Focus on price behavior after a bubble appears rather than the bubble itself.
Interpret bubbles as areas of interest, not directional guarantees.
Quantum Edge First Signal DetectorQuantum Edge is a non-repainting, multi-confirmation indicator that detects the first high-probability BUY & SELL signals using momentum, trend, volume, volatility, and price-action voting logic.
🧠 About This Indicator
Quantum Edge – First Signal Detector is designed to solve one common trader problem:
too many late or repeated signals.
Instead of firing continuous entries, this indicator focuses only on the FIRST valid signal after a market shift — helping traders enter early, reduce noise, and avoid over-trading.
It uses a quantum-style voting engine where multiple independent market factors must align before a signal is confirmed.
⚙️ Core Logic (How It Works)
Each candle is evaluated using 6 independent factors:
RSI Momentum
Bullish when RSI > 50
Bearish when RSI < 40
Price Location
Price near recent highs or lows
Volume Expansion
Current volume above moving average
EMA Trend Direction
EMA 20 vs EMA 50
Candle Strength
Strong bullish or bearish candle bodies
Volatility Filter
ATR-based low volatility confirmation
Each factor gives 1 vote.
When minimum confirmations are met, a FIRST BUY or FIRST SELL signal is generated.
🚀 Key Features
✅ First-Signal-Only Logic
Only the first BUY or SELL after trend change
No repeated signals in the same direction
Built-in signal cooldown (user-controlled)
✅ Non-Repainting
Signals are confirmed on candle close
No future data, no repainting
✅ Smart Trend Filtering
EMA-based directional bias
Avoids weak counter-trend entries
✅ Advanced Visual System
Clear BUY / SELL triangles
Trend, volume & momentum backgrounds
Support & resistance zones
Market sentiment bar coloring
✅ Alert Support
Buy alert
Sell alert
📊 Best Timeframes
Scalping: 1m – 5m
Intraday: 5m – 15m
Swing Confirmation: 30m – 1H
Works on:
Forex
Crypto
Indices
Stocks
🎯 How to Trade (Simple Guide)
BUY Setup
✔ First BUY signal appears
✔ Trend is bullish
✔ Use nearby support as reference
SELL Setup
✔ First SELL signal appears
✔ Trend is bearish
✔ Use nearby resistance as reference
Always combine with risk management.
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk. Use proper risk management.
Liquidity ZonesLiquidity Zones
Liquidity Zones is a price-action–based indicator designed to identify high-probability support and resistance areas where liquidity has historically accumulated.
Instead of drawing single lines, the script builds dynamic price zones based on repeated pivot reactions validated by volume, helping traders focus on meaningful levels rather than noise.
How It Works
Pivot Detection
The indicator scans historical price data for pivot highs and pivot lows using a fixed pivot strength.
Each pivot represents a potential liquidity interaction point.
Volume Qualification
A pivot is only considered valid if the volume at the pivot bar exceeds:
Volume SMA × Sensitivity
This filters out weak or low-participation levels and keeps zones formed during strong market interest.
Zone Construction
Nearby pivots are grouped into a single zone if their price difference stays within an ATR-based threshold.
Each time price reacts within this threshold, the zone’s touch count increases.
Once the minimum number of touches is reached, a liquidity zone is drawn and extended to the right.
Adaptive Zone Expansion
As new qualifying pivots appear, zones automatically expand to reflect the true liquidity range instead of staying static.
Dynamic Zone Coloring
Zones update their color in real time based on price position:
Green (Support) → Price is above the zone
Red (Resistance) → Price is below the zone
Gray (In-Zone) → Price is trading inside the zone
This allows instant visual feedback on whether a level is acting as support, resistance, or an active liquidity area.
Settings Overview
Bars to Apply
Controls how much historical data is scanned for liquidity zones.
Volume Sensitivity
Higher values require stronger volume spikes to validate pivots, resulting in fewer but higher-quality zones.
Styling Options
Fully customizable colors and transparency for support, resistance, and in-zone states.
Best Use Cases
Identifying high-liquidity support and resistance zones
Planning entries, exits, and stop placement
Combining with trend-following or momentum indicators
Filtering out weak levels in sideways or choppy markets
Dark Pool Pulse - Volume Pressure OscillatorDark Pool Pulse – Volume Pressure Oscillator
Description
OVERVIEW
Dark Pool Pulse is a protected technical analysis oscillator designed to visualize changes in directional volume pressure over time. The indicator transforms cumulative buying and selling activity into a normalized oscillator to help traders contextualize periods of relative market stability versus expansion.
The script is intended as a market condition visualization tool, not a signal generator.
CORE CONCEPT
The indicator evaluates the balance between buying and selling volume by tracking cumulative directional pressure. This pressure is used as a proxy for broader liquidity behavior, allowing traders to assess whether price action is occurring in a relatively stable environment or during periods of accelerating participation.
Rather than focusing on individual candles, the oscillator emphasizes persistence of volume imbalance across a rolling window.
CALCULATION FRAMEWORK
Directional Volume Pressure
The script measures the difference between buying and selling volume on each bar and accumulates this value over time to form a Net Pressure series.
Normalization Process
To make pressure comparable across symbols and timeframes, the cumulative series is normalized using a dynamic lookback window. This process scales the output to a bounded range between 0 and 100.
Oscillator Construction
The normalized pressure value is plotted as a single oscillator, allowing traders to observe shifts in participation intensity rather than raw volume magnitude.
INTERPRETING THE OSCILLATOR
60–100: Relative Stability
Indicates sustained volume balance and slower pressure changes, often associated with consolidation or mean-reverting conditions.
0–40: Relative Expansion
Indicates persistent directional pressure, often associated with momentum-driven or higher-volatility environments.
These zones are contextual references, not predictive thresholds.
DESIGN INTENT & LIMITATIONS
Dark Pool Pulse does not identify specific participants, venues, or transactions. It does not measure actual dark pool activity and should not be interpreted as such. All calculations are derived solely from publicly available price and volume data.
The script does not generate trade signals, alerts, or execution guidance.
SOURCE & DISCLAIMER
Published as a protected script to preserve the specific normalization techniques used in the pressure calculations.
This indicator is provided for educational and analytical purposes only and should be used alongside other forms of technical analysis.
BT Session VP & VolatilityBT Session VP v0.6 is a professional-grade Session Volume Profile designed for futures, index, and intraday traders who need clean, accurate session structure without clutter.
This tool builds a true volume distribution for each trading session using lower-timeframe data, detects high- and low-volume nodes, and tracks a dynamic Point of Control (POC) to help traders identify balance, acceptance, and trend conditions in real time.
• Index futures, session-based crypto trading
• Intraday equity index trading
• Momentum scalping with session context
• Auction market theory workflows
Features
• True session-based volume profile (RTH or ETH)
• Futures-correct ETH handling (18:00–17:00 session)
• Hard session fencing — no volume bleed between sessions
• Lower-timeframe volume aggregation for accuracy
• Dynamic Point of Control (POC) tracking
• High Volume Nodes (HVN) and Low Volume Nodes (LVN)
• Live session and prior session profiles
• Optional volatility-weighted volume
• Fully customizable colors, opacity, and labels
**Volatility-Weighted Volume** is an optional feature that adjusts how volume contributes to the session profile based on current market volatility.
Instead of treating all volume equally, BT Session VP can weight volume more heavily during periods of expansion and less during periods of compression.
When volatility weighting is enabled:
• If volatility is above its recent average, volume is amplified; below volume is dampened
• The strength of this effect is controlled by a user-defined multiplier
• Volatility weighting does not change price levels, Iit does not introduce signals or repainting. It only affects how volume contributes to the distribution
• The feature can be disabled at any time for a traditional volume profile
The Point of Control is calculated dynamically as the session evolves.
• If the POC remains stable for N bars, the market is considered balanced
• If the POC shifts upward, it reflects bullish acceptance
• If the POC shifts downward, it reflects bearish acceptance
• POC color changes automatically based on these conditions
This allows traders to quickly distinguish between balance, rotation, and trend days.
• HVN represent price levels where the market previously accepted value
• LVN represent areas of rejection or inefficiency
Nodes are filtered using:
• Local dominance logic
• Minimum separation (prevents clustering)
These levels often act as:
• Support / resistance
• Acceptance or rejection zones
• Rotation targets during balance
How traders use BT Session VP
• Identify balance vs trend days early
• Use POC direction to confirm market regime
• Trade rotations between HVNs during balance
• Fade LVNs during rejection
• Use prior session nodes as reaction levels
• Combine with momentum tools for confirmation
This indicator is designed to provide context , not signals.
It works best when combined with execution tools, order flow, or momentum confirmation.
Smart Money Concepts - Absorption Smart Money Concepts - Absorption (SMC-ABS)
Absorption event detector using split-volume VWMA ribbons, entropy filtering, and elasticity validation
Overview
This indicator highlights potential absorption/defense events: moments where price touches a volume-weighted band and then rejects, while additional filters confirm that market conditions are not random/noisy.
What it plots
• Energy ribbons (bands): two split-volume VWMA ribbon sets - Buy-weighted (cyan) and Sell-weighted (magma).
• ABS markers: printed when touch + rejection + validation conditions are met (see Logic section).
• Dashboard (HUD): real-time metrics such as price/volume z-scores, delta, entropy state, and resonance momentum states.
Core logic
1) Volume engine
The script builds Buy Volume and Sell Volume series using one of two modes:
• Geometry (candle-range split): estimates buy/sell participation from the close position within the candle range.
• Intrabar (precise): uses lower-timeframe up/down volume to derive buy/sell flows when data is available.
2) Split-VWMA resonance score
For multiple periods (5, 10, 20, 30, 40, 50), the script computes:
• A standard SMA of price.
• A Buy-weighted VWMA of price (weighted by Buy Volume).
• A Sell-weighted VWMA of price (weighted by Sell Volume).
Resonance is derived from the normalized divergence between the SMA and the split VWMAs, aggregated across the available periods.
3) Validation filters
Signals can be filtered by the following components (each toggleable):
• Volume-weighted entropy: a fractal-efficiency style disorder metric (TR-sum vs range) adjusted by relative volume; high entropy blocks signals.
• Momentum alignment (resonance velocity) : direction filter requiring positive velocity for buy events and negative velocity for sell events.
• Elasticity (recoil vs penetration): rejection quality check based on the bounce-back strength relative to the penetration depth into the fast band.
Absorption event conditions (ABS markers)
ABS markers are generated using the fastest ribbon band (length 5) for the touch/rejection logic:
• Buy absorption: low touches/penetrates the Buy band and the candle closes back above it, with filters passing.
• Sell absorption: high touches/penetrates the Sell band and the candle closes back below it, with filters passing.
Note: acceleration/deceleration is displayed in the HUD as a state; the primary directional filter is the resonance velocity.
Settings
• Volume Model: choose Geometry or Intrabar.
• Intrabar LTF: lower timeframe used by the Intrabar model (only applies when Intrabar is selected).
• Global Lookback: lookback window used for z-score statistics and related calculations.
• Quantum Filters: toggles and thresholds for entropy, momentum alignment, and elasticity validation.
• Dashboard Settings :/ Energy Ribbons / Absorption Events: controls for visuals and filtering behavior.
Usage notes and limitations
• Signals are most reliable after candle close. On the forming candle, conditions can change until the bar closes.
• Results depend on the availability and quality of volume data for the selected symbol and exchange.
• The Geometry mode is an estimate based on candle structure; it is not tick-accurate order flow.
• Terms such as “quantum” and “physics” are metaphorical labels for statistical filters and validation heuristics.
Disclaimer
This tool is provided for analytical and educational use only. It does not constitute investment advice. Trading involves risk.
Important note about Intrabar data and TradingView plan limits
This indicator is volume-dependent. When using the Intrabar model, the best results typically come from very low intrabar timeframes such as 1 tick or 1 second (if your symbol and data feed support it). Please check your TradingView subscription plan and data entitlements - access to 1-second/1-tick lower timeframes is commonly restricted to higher-tier plans (often referred to as Premium/Ultra tiers). If intrabar data is not available, the script falls back to relative buy/sell volume estimation (Geometry mode), and results may be less precise.
Effort-Result Divergence [Interakktive]The Effort-Result Divergence (ERD) measures whether volume effort is producing proportional price result. It quantifies the classic Wyckoff principle: when price moves easily, momentum is real; when price struggles despite heavy volume, absorption is occurring.
Think of ERD as "energy efficiency" for price movement — green means price is gliding, red means price is grinding.
█ WHAT IT DOES
• Measures volume EFFORT relative to average volume
• Measures price RESULT relative to ATR-normalized movement
• Computes ERD = Result minus Effort (each scaled 0-100)
• Flags statistical divergences via Z-score analysis
• Absorption events: high effort, low result (negative ERD)
• Vacuum events: low effort, high result (positive ERD)
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is educational only)
• NO performance claims or guarantees
This is a context tool for understanding market participation quality.
█ HOW IT WORKS
The ERD analyzes two dimensions of market activity and compares them.
EFFORT (Volume Intensity)
Compares current volume to a moving average baseline:
Effort Ratio = Volume ÷ SMA(Volume, Length)
Effort Score = clamp(100 × Effort Ratio ÷ Effort Cap)
High effort means above-average volume participation.
Low effort means below-average volume participation.
RESULT (Price Efficiency)
Measures how much price moved relative to expected volatility:
Result Ratio = |Close − Previous Close| ÷ ATR
Result Score = clamp(100 × Result Ratio ÷ Result Cap)
High result means price moved significantly for the volatility regime.
Low result means price barely moved despite market activity.
ERD SCORE
ERD = Result − Effort
• Positive ERD: Result exceeds effort → price moved easily (vacuum/thin liquidity)
• Negative ERD: Effort exceeds result → price struggled (absorption/accumulation)
• Near zero: Balanced effort-to-result relationship
STATISTICAL DIVERGENCE DETECTION
Z-score analysis identifies statistically significant extremes:
Z = (ERD − Mean) ÷ StdDev
• Absorption Event: Z ≤ −threshold (extreme negative ERD)
• Vacuum Event: Z ≥ +threshold (extreme positive ERD)
█ INTERPRETATION
GREEN BARS (Positive ERD)
Price moved with relatively little volume effort. This suggests:
• Thin liquidity / low resistance
• Strong directional interest
• Momentum is "real" — not forced
RED BARS (Negative ERD)
Heavy volume was used but price barely moved. This suggests:
• Absorption / accumulation occurring
• Large players opposing the move
• Inefficiency — someone is working hard for little result
THE KEY INSIGHT
When you see:
• Down moves = high effort (red spikes)
• Up moves = low effort (green bars)
This means: It's easier for price to go up than down.
That is asymmetric strength — classic bullish pressure.
The reverse (red on up moves, green on down moves) signals bearish pressure.
PRACTICAL RULES
Without any other indicators:
• Avoid shorting when ERD is mostly green and red spikes appear only on down candles
• Be cautious buying when ERD turns red on up candles (signals absorption of buying pressure)
• Vacuum events (extreme green) often precede continuation or pause — not violent reversal
• Absorption events (extreme red) often precede reversals or range formation
█ VOLUME DATA NOTE
This indicator uses the volume variable which represents:
• Exchange volume on stocks and futures
• Tick volume on Forex and CFD instruments
Tick volume is a proxy for activity, not actual exchange volume. The indicator remains useful on Forex as relative volume comparisons are still meaningful, but interpretation should account for this limitation.
█ INPUTS
Core Settings
• Volume Average Length: Baseline period for effort calculation (default: 20)
• ATR Length: Volatility normalization period (default: 14)
• Effort Cap: Volume ratio that maps to 100% effort (default: 3.0)
• Result Cap: ATR multiple that maps to 100% result (default: 1.0)
Divergence Detection
• Z-Score Lookback: Statistical analysis window (default: 100)
• Z-Score Threshold: Standard deviations for event flags (default: 2.0)
Visual Settings
• Show ERD Histogram: Toggle main display
• Show Zero Line: Toggle reference line
• Show Divergence Markers: Toggle event circles
• Show Effort/Result Lines: Display component breakdown
█ ORIGINALITY
While Wyckoff's effort-versus-result principle is well-established, existing implementations are typically:
• Purely visual with no quantification
• Pattern-based requiring subjective interpretation
• Not statistically normalized for comparison across instruments
ERD is original because it:
1. Normalizes both effort and result to 0-100 scales for direct comparison
2. Uses ATR for result normalization (adapts to volatility regime)
3. Applies statistical Z-score for objective divergence detection
4. Provides quantified output suitable for systematic analysis
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• Effort (0-100)
• Result (0-100)
• ERD Score
• Z-Score
• Absorption Event (1/0)
• Vacuum Event (1/0)
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Best on: Instruments with reliable volume data (stocks, futures, crypto)
Timeframes: All timeframes — interpretation adapts accordingly
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Wyckoff Volume Spread Analysis — conceptual foundation
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Auto-Anchored Fibonacci Volume Profile [Custom Array Engine]Description:
1. The Theoretical Foundation: Structure vs. Participation In professional technical analysis, traders often struggle to reconcile two distinct datasets: Price Geometry (where price should go) and Market Participation (where money actually went).
Why Fibonacci? (The Structure) Fibonacci Retracements map the mathematical structure of a trend. They identify psychological and algorithmic "interest zones" (0.382, 0.5, 0.618) where a correction is statistically likely to terminate. However, Fibonacci levels are theoretical—they are "lines in the sand" that do not guarantee liquidity or reaction.
Why Volume Profile? (The Verification) Volume Profile maps the historical exchange of shares at specific price levels. It reveals "fair value" (High Volume Nodes) and "market imbalance" (Low Volume Nodes). It is the only tool that verifies if a specific price level was actually accepted by institutional participants.
2. Underlying Calculations (The Custom Engine) This script operates on a custom-built calculation engine that bypasses standard built-in functions entirely. It uses Pine Script Arrays to build a Volume Profile from scratch. Here is the breakdown of the proprietary code logic:
A. The "Smart-Fill" Distribution Algorithm (Solves Gapping)
The Problem: Standard volume scripts often assign a candle's entire volume to a single price row. In volatile markets or steep trends, this creates visual "gaps" or a "barcode" effect because price moved too fast to register on every row.
My Solution: I wrote a custom loop that calculates the vertical overlap of every candle against the profile grid.
The Math: Volume Per Bin = Total Candle Volume / Bins Touched.
The Result: If a single volatile candle spans 10 price rows (bins), the script mathematically divides that volume and distributes it equally into all 10 array indices. This generates a solid, continuous distribution curve that accurately reflects price action through the entire candle range, not just the close.
B. Dynamic Arrays & Split-Volume Logic The script initializes two separate floating-point arrays (buyVolArray and sellVolArray) sized to the user's resolution (up to 300 rows). It iterates through the specific time-window of the swing:
If Close >= Open, the calculated volume slice is injected into the Buy Array.
If Close < Open, it is injected into the Sell Array.
These arrays are then visually stacked to render the dual-color profile, allowing traders to see the "Delta" (Buyer vs. Seller aggression) at key structural levels.
C. Custom Garbage Collection (Performance) To enable the "Auto-Anchoring" feature without causing chart lag or visual artifacts ("ghosting"), the script includes a Garbage Collection System. Before drawing a new profile, the script iterates through a tracking array of all existing objects (box.delete, line.delete) and clears them from memory. This ensures the indicator remains lightweight and responsive even when dragging chart margins or switching timeframes.
3. The Synthesis: Why Combine Them? The core philosophy of this script is Confluence . A Fibonacci level without volume is merely a suggestion; a Fibonacci level backed by volume is a defensive wall. By algorithmically anchoring a Volume Profile to the exact coordinates of a Fibonacci swing, this tool allows traders to instantly answer critical questions:
"Is the Golden Pocket (0.618) supported by a High Volume Node (HVN), or is it a Low Volume Node (LVN) that price might slice through?"
"Is the Shallow Retracement (0.382) holding because of structural support, or just a lack of selling pressure?"
4. How to Read the Indicator
The Geometry: The script automatically detects the trend and draws standard Fib levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
The Confluence Check: Look for the Point of Control (Red Line). If this High Volume Node aligns with a key Fib level (e.g., the 0.618), the probability of a reversal increases significantly.
The Imbalance Check: Look for "Valleys" in the profile (Low Volume Nodes). These gaps often act as "slippage zones" where price travels quickly between structural levels.
Buy/Sell Splits: The dual-color bars (Teal/Red) reveal the composition of the volume. A 0.618 level held up by dominant Buy Volume is a stronger bullish signal than one with mixed volume.
5. Settings & Customization
Lookback Length: Sensitivity of the swing detection (Default: 200 bars).
Resolution: Granularity of the profile rows (Default: 100). Higher values provide smoother definition.
Width (%): Responsive sizing that scales the profile relative to the trend's duration.
Extend Lines: Option to project structural levels infinitely to the right.
Disclaimer This script is an analytical tool for visualizing historical market data. It does not provide trade signals or financial advice.
Session Relative VolumeSession Relative Volume is an advanced intraday futures volume indicator that analyzes volume separately for Asia, London, and New York sessions - something standard relative volume tools can’t do.
Instead of aggregating the entire day’s volume, the indicator compares current volume to historical averages for the same session and time of day, allowing you to spot true volume strength and meaningful spikes, especially around session opens.
Background
Relative volume helps traders spot unusual activity: high volume often signals institutional participation and trending days, while low volume suggests weak commitment and possible mean reversion. In futures markets, sessions ( Asia, London, New York ) must be analyzed separately, but TradingView’s Relative Volume in Time aggregates the entire day, masking session-specific behavior - especially during the New York open. Since volume can vary by more than 20× between sessions, standard averages struggle to identify meaningful volume spikes when trader conviction matters most.
Indicator Description
The “Session Relative Volume” indicator solves these problems by calculating historical average volume specific to each session and time of day, and comparing current volume against those benchmarks. It offers four display modes and fully customizable session times
Altogether, it provides traders with a powerful tool for analyzing intraday futures volume, helping to better assess market participation, trader conviction, and overall market conditions - ultimately supporting improved trading decisions.
Parameters
Mode – display mode:
R-VOL: Relative cumulative session-specific volume at time
VOL CUM: Cumulative session volume at time compared to historical average cumulative session-specific volume
VOL AVG: Average session intrabar volume at time compared to historical average session-specific intrabar volume
VOL: Individual bars volume, highlighting (solid color) unusual spikes
Lookback period – number of days used for calculating historical average session volume at time
MA Len – length of the moving average, representing average bar volume within a session based on previous periods (different from historical cumulative volume!). Used only in VOL and VOL AVG modes
MA Thresh – deviation from moving average, used to detect bar volume spikes (bar volume > K × moving average)
Start Time – End Time and Time Zone parameters for each session. The time zone must be set using TradingView’s format (e.g., GMT+1).
Amihud Illiquidity Ratio [MarkitTick]💡This indicator implements the Amihud Illiquidity Ratio, a financial metric designed to measure the price impact of trading volume. It assesses the relationship between absolute price returns and the volume required to generate that return, providing traders with insight into the "stress" levels of the market liquidity.
Concept and Originality
Standard volume indicators often look at volume in isolation. This script differentiates itself by contextualizing volume against price movement. It answers the question: "How much did the price move per unit of volume?" Furthermore, unlike static indicators, this implementation utilizes dynamic percentile zones (Linear Interpolation) to adapt to the changing volatility profile of the specific asset you are viewing.
Methodology
The calculation proceeds in three distinct steps:
1. Daily Return: The script calculates the absolute percentage change of the closing price relative to the previous close.
2. Raw Ratio: The absolute return is divided by the volume. I have introduced a standard scaling factor (1,000,000) to the calculation. This resolves the issue of the values being astronomically small (displayed as roughly 0) without altering the fundamental logic of the Amihud ratio (Absolute Return / Volume).
- High Ratio: Indicates that price is moving significantly on low volume (Illiquid/Thin Order Book).
- Low Ratio: Indicates that price requires massive volume to move (Liquid/Deep Order Book).
3. Dynamic Regimes: The script calculates the 75th and 25th percentiles of the ratio over a lookback period. This creates adaptive bands that define "High Stress" and "Liquid" zones relative to recent history.
How to Use
Traders can use this tool to identify market fragility:
- High Stress Zone (Red Background): When the indicator crosses above the 75th percentile, the market is in a High Illiquidity Regime. Price is slipping easily. This is often observed during panic selling or volatile tops where the order book is thin.
- Liquid Zone (Green Background): When the indicator drops below the 25th percentile, the market is in a Liquid Regime. The market is absorbing volume well, which is often characteristic of stable trends or accumulation phases.
- Dashboard: A visual table on the chart displays the current Amihud Ratio and the active Market Regime (High Stress, Normal, or Liquid).
Inputs
- Calculation Period: The lookback length for the average illiquidity (Default: 20).
- Smoothing Period: The length of the additional moving average to smooth out noise (Default: 5).
- Show Quant Dashboard: Toggles the visibility of the on-screen information table.
● How to read this chart
• Spike in Illiquidity (Red Zones)
Price is moving on "thin air." Expect high volatility or potential reversals.
• Low Illiquidity (Green/Stable Zones)
The market is deep and liquid. Trends here are more sustainable and reliable.
• Divergence
Watch for price making new highs while liquidity is drying up—a classic sign of an exhausted trend.
Example:
● Chart Overview
The chart displays the Amihud Illiquidity indicator applied to a Gold (XAUUSD) 4-hour timeframe.
Top Pane: Price action with manual text annotations highlighting market reversals relative to liquidity zones.
Bottom Pane: The specific technical indicator defined in the logic. It features a Blue Line (Raw Illiquidity), a Red Line (Signal/Smoothed), and dynamic background coloring (Red and Green vertical strips).
● Deep Visual Analysis
• High Stress Regime (Red Zones)
Visual Event: In the bottom pane, the background periodically shifts to a translucent red.
Technical Logic: This event is triggered when the amihudAvg (the smoothed illiquidity ratio) exceeds the 75th percentile ( hZone ) of the lookback period.
Forensic Interpretation: The logic calculates the absolute price change relative to volume. A spike into the red zone indicates that price is moving significantly on relatively lower volume (high price impact). Visually, the chart shows these red zones aligning with local price peaks (volatility expansion), leading to the bearish reversal marked by the red box in the top pane.
• Liquid Regime (Green Zones)
Visual Event: The background shifts to a translucent green in the bottom pane.
Technical Logic: This triggers when the amihudAvg falls below the 25th percentile ( lZone ).
Forensic Interpretation: This state represents a period where large volumes are absorbed with minimal price impact (efficiency). On the chart, this green zone corresponds to the consolidation trough (green box, top pane), validating the annotated accumulation phase before the bullish breakout.
• Indicator Lines
Blue Line: This is the illiquidityRaw value. It represents the raw daily return divided by volume.
Red Line: This is the smoothedVal , a Simple Moving Average (SMA) of the raw data, used to filter out noise and define the trend of liquidity stress.
● Anomalies & Critical Data
• The Reversal Pivot
The transition from the "High Stress" (Red) background to the "Liquid" (Green) background serves as a visual proxy for market regime change. The chart shows that as the Red zones dissipate (volatility contraction), the market enters a Green zone (efficient liquidity), which acted as the precursor to the sustained upward trend on the right side of the chart.
● About Yakov Amihud
Yakov Amihud is a leading researcher in market liquidity and asset pricing.
• Brief Background
Professor of Finance, affiliated with New York University (NYU).
Specializes in market microstructure, liquidity, and quantitative finance.
His work has had a major impact on both academic research and practical investment models.
● The Amihud (2002) Paper
In 2002, he published his influential paper: “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects” .
• Key Contributions
Introduced the Amihud Illiquidity Measure, a simple yet powerful proxy for market liquidity.
Demonstrated that less liquid stocks tend to earn higher expected returns as compensation for liquidity risk.
The measure became one of the most widely used liquidity metrics in finance research.
● Why It Matters in Practice
Used in quantitative trading models.
Applied in portfolio construction and risk management.
Helpful as a liquidity filter to avoid assets with excessive price impact.
In short: Yakov Amihud established a practical and robust link between liquidity and returns, making his 2002 work a cornerstone in modern financial economics.
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.
DeltaReact - Volume and Orderflow ReactivityThis indicator is designed to visualise institutional participation and directional pressure using a multi-timeframe blend of volume expansion, delta imbalance, and trend context.
Unlike traditional volume or momentum tools, it focuses on relative change rather than absolute values.
Core Concepts
The script measures:
Volume expansion relative to its own moving baseline
Delta strength derived from directional volume imbalance
Directional agreement between delta, volume, and trend state
Multi-timeframe structure, allowing lower-timeframe signals to be viewed in higher-timeframe context
What Makes This Different
Most volume-based indicators treat volume and delta independently. This tool:
Normalises both metrics into percentage-based strength
Applies contextual filters to reduce noise
Highlights structural shifts rather than raw spikes
Provides clear visual hierarchy for participation intensity
How to Use
Strong delta + volume expansion suggests active participation
Directional alignment improves confidence
Signals are designed for confluence, not standalone entries
Works across assets and sessions without instrument-specific tuning
Access & Availability
This script is published as invite-only to control distribution.
If you would like to request access or learn more about usage, please contact the author via TradingView direct message.
Important Notes
This indicator is not a trading strategy and does not provide buy or sell signals.
It is intended as a decision-support tool to be used alongside risk management and broader market analysis.
SCOTTGO - Buy Sell Volume📊 SCOTTGO - Buy Sell Volume Bars - Delta - Up Down Volume Bars
This indicator disaggregates the total volume traded on each bar into estimated Buying Volume and Selling Volume to visualize market pressure and dominance directly in a dedicated sub-pane.
Key Features:
Volume Disaggregation: Uses a standard formula to estimate how much of a bar's total volume was associated with upward (buying) pressure and how much was associated with downward (selling) pressure.
Visual Clarity: Plots the Buy Volume (teal, upward) and Sell Volume (red, downward) as separate columns against a transparent total volume background, allowing for quick assessment of pressure balance.
Real-Time Badge: A dynamic badge is fixed to the corner of the chart (default: Top Right) providing a numeric summary of the latest bar:
Buy %: Percentage of the bar's total volume estimated as Buying Volume.
Sell %: Percentage of the bar's total volume estimated as Selling Volume.
Delta %: The magnitude of the volume difference (Delta) as a percentage of total volume, indicating the strength of the dominant side.
Dominance Indicator: The background color of the badge changes dynamically to immediately signal whether Buying (customizable color, default: Teal) or Selling (customizable color, default: Red) pressure was dominant on the current bar.
Usage:
Traders can use this tool to identify periods of heavy accumulation (high Buy Volume) or distribution (high Sell Volume), providing insight into the conviction behind price movements.
Opening Range Intraday IndicatorOpening Range Intraday Indicator
Summary
The Opening Range Intraday Indicator is a decision-support tool for intraday breakout entries. It combines an Opening Range Breakout (ORB) model with relative volume confirmation and a squeeze-style trend filter, then visualizes entries with clearly defined take-profit (TP) and stop-loss (SL) levels.
The indicator works on any ticker and any timeframe. However, its default parameters and internal logic are optimized for TSLA on the 15-minute chart, which is shown as a recommended context in the on-chart table for informational purposes only.
Core Logic
Opening Range Breakout
Establishes an opening range during the early session and monitors for confirmed breakouts above or below that range to generate potential intraday entries.
Relative Volume confirmation
Breakouts are validated using relative volume to help ensure participation and reduce low-quality signals during thin or inactive periods.
Squeeze / trend filter
A squeeze-style metric evaluates recent compression and directional behavior, helping to avoid entries during unfavorable or low-quality structural conditions.
Entry Visualization & Risk Levels
When a valid entry is confirmed, the indicator automatically:
Plots directional entry markers
Calculates and draws multiple take-profit levels
Draws a stop-loss level based on opening-range structure or ATR logic
Marks TP or SL hits directly on the chart for visual review
These visuals persist on the chart to allow traders to manually review trade structure and outcome over time.
On-Chart Table & Context Guidance
The indicator includes a compact on-chart table that displays:
Current squeeze value and short-term trend behavior
“No trade” conditions when structure is unfavorable
A recommended context message indicating whether the chart matches the optimized setup (TSLA on the 15-minute timeframe)
This message is informational only and does not restrict signals or functionality on other symbols or timeframes.
Flexibility & Controls
Users can customize:
Take-profit and stop-loss display behavior
Tight or standard stop-loss logic
Quiet windows near session close to suppress alerts
Visual settings and table positioning
This allows the indicator to be adapted to different instruments, volatility profiles, and execution styles.
Important Notes
This indicator does not execute trades and does not include automated backtesting or performance statistics.
TP/SL markers are visual aids only and are intended for manual review, not statistical validation.
Results will vary by symbol, timeframe, execution, and market conditions.
This indicator is intended as a research and decision-support tool for experienced intraday traders who understand execution risk, volatility, and position sizing. It should be used alongside proper risk management and independent analysis.
Supply and Demand Zones [BigBeluga]🔵 OVERVIEW
The Supply and Demand Zones indicator automatically identifies institutional order zones formed by high-volume price movements. It detects aggressive buying or selling events and marks the origin of these moves as demand or supply zones. Untested zones are plotted with thick solid borders, while tested zones become dashed, signaling reduced strength.
🔵 CONCEPTS
Supply Zones: Identified when 3 or more bearish candles form consecutively with above-average volume. The script then searches up to 5 bars back to find the last bullish candle and plots a supply zone from that candle’s low to its low plus ATR.
Demand Zones: Detected when 3 or more bullish candles appear with above-average volume. The script looks up to 5 bars back for a bearish candle and plots a demand zone from its high to its high minus ATR.
Volume Weighting: Each zone displays the cumulative bullish or bearish volume within the move leading to the zone.
Tested Zones: If price re-enters a zone and touches its boundary after being extended for 15 bars, the zone becomes dashed , indicating a potential weakening of that level.
Overlap Logic: Older overlapping zones are removed automatically to keep the chart clean and only show the most relevant supply/demand levels.
Zone Expiry: Zones are also deleted after they’re fully broken by price (i.e., price closes above supply or below demand).
🔵 FEATURES
Auto-detects supply and demand using volume and candle structure.
Extends valid zones to the right side of the chart.
Solid borders for fresh untested zones.
Dashed borders for tested zones (after 15 bars and contact).
Prevents overlapping zones of the same type.
Labels each zone with volume delta collected during zone formation.
Limits to 5 zones of each type for clarity.
Fully customizable supply and demand zone colors.
🔵 HOW TO USE
Use supply zones as potential resistance levels where sell-side pressure could emerge.
Use demand zones as potential support areas where buyers might step in again.
Pay attention to whether a zone is solid (untested) or dashed (tested).
Combine with other confluences like volume spikes, trend direction, or candlestick patterns.
Ideal for swing traders and scalpers identifying key reaction levels.
🔵 CONCLUSION
Supply and Demand Zones is a clean and logic-driven tool that visualizes critical liquidity zones formed by institutional moves. It tracks untested and tested levels, giving traders a visual edge to recognize where price might bounce or reverse due to historical order flow.
Breadth-Force Oscillator (BFO)Welcome to the Breadth-Force Oscillator! This is a measure of the cumulative volume index relative to price action, and is used for swing trading.
How to read:
This indicator is read primarily through divergences in price, when the BFO is going down that is indicative of an uptrend and when it is going up that is indicative of a downtrend. Changes in the BFO direction give foresight towards shifts in trends.
Features:
This indicator is highly adjustable, and depending on how you adjust it, it may change the results of how you interpret it. This indicator includes multiple smoothing options to reduce noise on smaller time frames and gain more foresight to macro-trends in a given market, and other adjustable features which can be used to further customize.
