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.
Volumeanalysis
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.
GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility
Description
Overview
The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is).
Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes.
By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts.
Methodology and Calculations
1. Logarithmic vs. Percentage Returns
The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume.
- The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes.
- Users can opt for standard percentage changes if they prefer a linear approach.
2. Variance Proxy (Squared Returns)
To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation.
3. GARCH-Style Smoothing (EWMA)
Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor).
- The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance.
- Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance.
4. Dynamic Statistical Thresholds
The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period.
How to Use
The indicator plots a histogram that categorizes the market into four distinct volatility regimes:
1. High Volatility (Red Histogram)
Trigger: Volatility > High Band (Upper Standard Deviation).
Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at:
- Capitulation bottoms (panic selling).
- Euphoric tops (blow-off tops).
- Major news events or earnings releases.
2. Elevated Volatility (Maroon Histogram)
Trigger: Volatility > Mean Average.
Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily.
3. Normal/Low Volatility (Green Histogram)
Trigger: Volatility is within the lower bands.
Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction.
4. Extremely Low Volatility (Bright Green/Transparent)
Trigger: Volatility < Low Band.
Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion.
Settings and Configuration
Core Settings
- Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable.
- Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges.
- Length: The baseline period for the calculation.
- Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands.
- EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics.
-- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory).
-- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory).
Visuals
- Show Thresholds: Toggles the visibility of the statistical bands on the chart.
- High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
VWMA CloudA volume-weighted moving average (VWMA) cloud consisting of fast and slow VWMAs. The lines are dynamically colored based on their relative positions, forming a visual cloud that highlights bullish and bearish trends.
A normal moving average (SMA or EMA) weights prices equally (or by recency) and ignores volume, so it reacts the same regardless of how much trading occurred. A volume-weighted moving average (VWMA) weights each price by its trading volume, so high-volume moves shift the average more and low-volume moves shift it less. This makes VWMA more representative of where the market is actually trading and filters out weak, low-participation moves.
KIMATIX LITE AbsorptionThis indicator highlights absorption intensity directly on the chart using numeric sigma values only.
It is a deliberately reduced, signal-agnostic visualization designed to expose where significant absorption occurs, without adding levels, lines, or trade logic.
What you see
Numeric sigma values on candles
Each number represents the strength of absorption measured in standard deviations (σ).
Color-coded context
Green numbers below price → sell-side absorption
Red numbers above price → buy-side absorption
Only values that exceed the Minimum Sigma threshold are displayed.
No lines, zones, triangles, or alerts are shown — only the raw absorption magnitude.
How it works (LITE Version)
Absorption is derived from volume relative to candle structure
Values are normalized and filtered using:
A fixed statistical lookback
Wick dominance rules to avoid noise
Only statistically significant events (σ ≥ threshold) are visualized
All other calculations run silently in the background.
Intended use
This Lite version is meant to:
Identify areas of aggressive participation or defense
Spot potential absorption during trends or ranges
Provide context for liquidity, exhaustion, or hidden interest
It is not a trading system and does not generate entries or exits.
Use it as a contextual layer alongside your own execution logic.
The full version is distributed separately.
More information can be found here:
whop.com
KIMATIX LITE Trading TableThe KIMATIX LITE Trading Table is a structured decision-support overlay that condenses complex market logic into a single, easy-to-read table.
Table fields explained
* BUY / SELL when a valid setup is active
* NONE when no qualified setup exists
Includes the live status: ACTIVE, TP1, TP2, or STOP.
ENTRY
The calculated entry price based on confirmed signal logic.
STOP
The risk-defined stop level derived from ATR structure.
TP1 / TP2
Pre-calculated profit targets based on fixed R-multiples.
MGMT
Displays trade management guidance when applicable
(e.g. instruction to move stop-loss to break-even after TP1).
Intended use
This indicator is not an execution tool.
It is meant to:
* Maintain situational awareness
* Enforce structured trade management
* Reduce emotional or impulsive decision-making
* Complement existing execution workflows
No alerts, chart drawings, or execution triggers are provided in this version.
The full version is distributed separately.
More information can be found here:
whop.com
DeltaPulseDeltaPulse: Professional Cumulative Volume Delta Indicator
DeltaPulse is a free cumulative volume delta (CVD) indicator engineered for modern traders who demand precision, adaptability, and visual clarity. Unlike traditional CVD tools that often suffer from scaling issues, excessive noise, or poor responsiveness across timeframes, DeltaPulse delivers a streamlined, professional-grade solution that "just works" – providing actionable insights into buying and selling pressure with minimal setup.
This indicator accumulates the net difference between buying and selling volume (inferred from candle direction), normalizes it intelligently for consistent readability, and applies advanced smoothing to filter out market noise while preserving momentum signals. The result is a clean, momentum-colored line in a dedicated pane, enhanced by subtle visual cues that highlight key market dynamics.
Whether you're a day trader scalping intraday moves, a swing trader analyzing weekly trends, or an institutional analyst reviewing futures contracts, DeltaPulse adapts seamlessly to your workflow. It's designed to be your go-to tool for confirming trends, spotting divergences, and identifying order flow imbalances – all without the bloat of overcomplicated features.
Key Features
Intelligent Normalization for Universal Compatibility
Automatically adjusts scaling based on chart timeframe and symbol volume profile.
Intraday (1-5 min): Uses a 100-period volume average for responsive, lively signals.
Intraday (15+ min): 50-period average for balanced sensitivity.
Daily/Weekly+: 20-period average for clean, long-term perspective.
Ensures the indicator remains visually meaningful and non-flat on any asset – from low-volume penny stocks to high-liquidity indices like ES or NQ.
Advanced Smoothing Options
Six moving averages to match your trading style:
EMA - Quick reactions to recent delta shifts
SMA - Simple Moving Average - Stable, noise-resistant baseline
WMA - Weighted Moving Average - Emphasizes recent data with linear weighting
HMA - Hull Moving Average - Ultra-smooth yet lag-free – ideal for momentum trading
RMA - Running Moving Average (Wilder's) - Trend-following with minimal whipsaws
VWMA - Volume-Weighted Moving Average - Highlights high-volume delta moves
Lower values increase reactivity; higher values enhance smoothness.
Flexible Reset Mechanisms
Session Reset: Clears CVD at the first regular trading bar each day – perfect for intraday analysis.
Weekly Reset: Resets at the start of each new week – suited for swing and position trading.
No manual intervention required; the indicator handles resets reliably across all timeframes.
Background Shading:
Light green tint above zero; light red below.
Extreme highlights when smoothed CVD exceeds 90% of its 80-bar high/low – flags potential exhaustion or absorption zones.
How It Works
DeltaPulse calculates a simple yet effective volume delta on each bar:
Bullish Bar (close ≥ open): Adds full volume as positive delta.
Bearish Bar (close < open): Subtracts full volume as negative delta.
This raw delta accumulates into a running total (CVD), resetting based on your chosen mode. The total is then:
Normalized against a timeframe-adaptive volume average to ensure consistent scaling.
Smoothed using your selected MA type for noise reduction and trend clarity.
Plotted with momentum-based coloring and visual enhancements.
The output is a single, intuitive line that reveals the underlying battle between buyers and sellers – far more reliably than raw volume bars or basic oscillators.
Trading Applications
DeltaPulse shines in revealing order flow dynamics that price action alone often conceals. Here are proven ways to integrate it:
Trend Confirmation & Momentum Trading
Bullish Setup: Rising green line above zero confirms buyer control – enter longs on pullbacks to support.
Bearish Setup: Falling red line below zero signals seller dominance – short on rallies to resistance.
Zero Line Crosses as Reversal Signals
A crossover from negative to positive territory often marks a sentiment shift – use for entry triggers.
Combine with volume spikes or key levels for high-probability setups.
Enhancement: VWMA mode amplifies signals on high-volume breakouts.
Absorption & Exhaustion Zones
Watch for extreme background highlights: A spike to highs followed by reversal suggests large players absorbing supply.
Ideal for fade trades near overextended levels (e.g., after news events).
Avoid low-volume or illiquid symbols, as delta inference relies on reliable candle data.
Timeframe-Agnostic: Solves the common CVD pitfall of being "dead" on intraday charts or erratic on daily ones through smart, automatic normalization.
Lag-Free Responsiveness: The default HMA smoothing strikes a rare balance – smoother than EMA, faster than SMA – without the computational overhead of exotic filters.
Zero Clutter: No histograms, no extraneous plots, no overwhelming alerts. Just pure, distilled order flow intelligence.
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
Apex IndicatorThe Apex Indicator is a physics-based momentum tool designed to measure the 2nd Derivative (Acceleration) of both Price and Volume.
Unlike standard oscillators which often lag, this indicator uses Kinematics to identify the subtle shifts in momentum before price makes a major move. It answers the critical questions: Is the selling pressure fading? and Is there fresh fuel (Volume) entering to support a turn?
This script uses Hull Moving Average (HMA) smoothing for low-latency calculation, and Z-Score Normalization to force Price and Volume onto a shared, readable scale.
Visual Guide
The Histogram (Price Acceleration)
Bright Green: Strong Bullish Acceleration (High Velocity).
Dark Green: Developing Bullish Momentum (or Waning Bullishness depending on context).
Bright Red: Strong Bearish Acceleration (Panic/Dump).
Dark Red: Developing Bearish Momentum (or Waning Bearishness).
The Line (Volume Acceleration)
Yellow: Volume is accelerating (Interest is entering).
Purple: Volume is decelerating (Interest is leaving).
The Background Highlights
Green/Red Background: These mark Statistical Extremes (>1 Standard Deviation). While these show maximum power, they often mark the climax of a move rather than the start.
How to Trade: Reading the Subtleties
The power of the Apex Indicator is not in chasing the spikes, but in reading the Transitions.
1. The Turn (The Reversal Entry)
Don't wait for the explosion; look for the "braking" action.
The Setup: Price has been moving down strongly (Bright Red bars).
The Signal: The histogram shifts to Dark Red and begins moving up toward the zero line (less negative). This means the selling acceleration is dying.
The Trigger: A Dark Green bar prints, accompanied by the Volume Line turning Yellow/Rising.
Why it works: You are entering when the bearish energy is exhausted and fresh volume is stepping in to lift the price, often before the main breakout occurs.
2. The Second Wind (Trend Continuation)
The Setup: You are already in a trend (Green bars), but the bars fade to Dark Green or near Zero (a pullback or pause).
The Trigger: The next bar flips Bright Green and the Volume Line spikes Yellow.
Why it works: This confirms that the pause was just a breather, and buyers are stepping back on the gas.
3. The "Hollow Move" (Trap Avoidance)
The Scenario: Price is moving up (Green bars), but the Volume Line is Purple or dropping.
Interpretation: This is a drift, not a drive. Without volume acceleration support, these moves are prone to rapid reversal.
4. The Climax (Exits)
If the Background flashes Green (Alert Trigger), be aware that price acceleration has hit a statistical extreme (Z-Score > 1).
If you are in a position, this is often a good place to Take Profit, as maintaining that level of acceleration is mathematically difficult for the market to sustain.
Settings
Analysis Length (21): The lookback period for the HMA smoothing.
Normalization Lookback (21): The historical window used to calculate the Z-Score. A setting of 21 allows the indicator to self-adjust quickly to recent volatility conditions.
Volume Profile VisionVolume Profile Vision - Complete Description
Overview
Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points.
What Makes This Indicator Original
Volume Profile Vision introduces several unique features not found in standard volume profile tools:
Dual-Direction Histogram Display:
Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes.
Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play.
Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems:
Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area
Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting
Obsidian Precision: Professional dark theme with white POC and electric cyan accents
Black Ice: Monochromatic cyan family with graduated intensity
Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity.
Core Concepts & Calculations
Volume Distribution Analysis
The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by:
Scanning back through the specified lookback period (customizable or visible range)
For each historical bar, determining which price levels the bar's high/low range intersects
Accumulating volume for each intersected price level
Optionally filtering by bullish/bearish volume only
Point of Control (POC)
The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice).
Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for:
Mean reversion opportunities when price is far from POC
Rejection signals when price tests POC from above/below
Breakout confirmation when price breaks through and holds beyond POC
Value Area (VA)
The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants.
Calculation Method:
Start at the POC (highest volume level)
Expand upward and downward, adding adjacent price levels
Always add the level with higher volume next
Continue until accumulated volume reaches the VA percentage threshold
Value Area High (VAH): Upper boundary of accepted value - acts as resistance
Value Area Low (VAL): Lower boundary of accepted value - acts as support
Trading Significance:
Price spending time inside VA indicates market equilibrium
Breakouts above VAH suggest bullish momentum shift
Breakdowns below VAL suggest bearish momentum shift
Returns to VA boundaries often provide high-probability entry zones
High Volume Nodes (HVN)
Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation.
Trading Significance:
HVNs act as strong support/resistance zones
Price tends to consolidate at HVNs before making directional moves
Breaking through an HVN often signals strong momentum
Low Volume Nodes (LVN)
Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation.
Trading Significance:
LVNs represent areas of rejection - price finds little acceptance
Price tends to move rapidly through LVN zones
Useful for setting stop-losses (below LVN for longs, above for shorts)
Can identify potential gaps or "air pockets" in the market structure
Grayscale POC Detection
A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area.
How to Use This Indicator
Setup
Choose Lookback Period:
Enable "Use Visible Range" to analyze only what's on your chart
Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis
Adjust Profile Resolution:
"Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones
Select Color Scheme:
Traffic Light: Best for clear POC/VA/HVN identification
Aurora Glass: Modern aesthetic for dark charts
Obsidian Precision: Professional trader preference
Black Ice: Minimalist single-color family
Visual Customization
Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars)
Right Extension: Width of the traditional histogram bars on the right (default: 50 bars)
Right Margin: Space between current price bar and histogram (default: 0 for flush alignment)
Left Profile Gap: Space between left-side histogram and candles (default: 0)
Trading Strategies
Strategy 1: Value Area Mean Reversion
Wait for price to move outside the Value Area (above VAH or below VAL)
Look for rejection signals (wicks, bearish/bullish candles)
Enter trades toward the POC
Take profits as price returns to POC or opposite VA boundary
Strategy 2: Breakout Confirmation
Identify when price is consolidating within the Value Area
Wait for a strong close above VAH (bullish) or below VAL (bearish)
Enter on the breakout or on first pullback to the VA boundary
Target previous HVNs or swing highs/lows outside the VA
Strategy 3: POC Support/Resistance
Watch for price approaching the POC level
If approaching from below, look for bullish reversal patterns at POC (support)
If approaching from above, look for bearish reversal patterns at POC (resistance)
Trade in the direction of the bounce with stops beyond the POC
Strategy 4: LVN Fast Movement Zones
Identify LVN zones within the Value Area (marked with "LVN" label)
When price enters an LVN, expect rapid movement through the zone
Avoid entering trades within LVNs
Use LVNs as confirmation of directional momentum
Alert System
The indicator includes 7 customizable alert conditions:
POC Touch: Alerts when price comes within 0.5 ATR of POC
VAH/VAL Touch: Alerts at Value Area boundaries
VA Breakout: Alerts on breakouts above VAH or below VAL
HVN Touch: Alerts when price contacts High Volume Nodes
LVN Entry: Alerts when entering Low Volume zones
POC Shift: Alerts when POC moves to a new price level
Reading the Profile
Price Labels (shown on the right side):
POC: Point of Control - highest volume price level
VAH: Value Area High - upper boundary of accepted value
VAL: Value Area Low - lower boundary of accepted value
LVN: Low Volume Node - expect fast movement through this zone
Color Intensity Interpretation:
Brighter colors = higher volume concentration
Dimmer colors = lower volume
Abrupt color changes = transition between volume zones
Gaps in the histogram = price levels with no trading activity
Technical Details
Volume Accumulation Logic:
For each bar in lookback period:
For each price level:
If bar's high/low range intersects price level:
Add bar's volume to that price level's total
Gradient Algorithm:
Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity)
Aurora Glass: Linear cyan-to-magenta interpolation
Obsidian Precision: Dark blue gradient with cyan highlights
Black Ice: Three-stage cyan intensity progression
Real-Time Updates:
The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure.
Best Practices
Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading
Combine with Price Action: Volume profile shows WHERE, price action shows WHEN
Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries
Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture
Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas
Performance Notes
Maximum bars back: 5000 (handles deep historical analysis)
Maximum boxes: 500 (handles complex profiles)
Optimized calculation: Only recalculates on last bar for efficiency
Real-time capable: Updates as new ticks arrive
