Luminous Volume Delta [Pineify]Luminous Volume Delta — Volume Polarity Oscillator with Surge Detection & Momentum Cloud
The Luminous Volume Delta is a volume-based momentum oscillator that decomposes total volume into buying and selling pressure, calculates the net delta, and overlays a smoothed oscillator with signal line crossovers and intelligent volume surge detection. Unlike standard volume indicators that simply display bar-by-bar volume, this indicator estimates the directional intent behind each bar's volume by classifying it as buyer- or seller-dominated based on candlestick polarity. The result is a MACD-style oscillator built entirely on volume data, giving traders a clear, actionable view of when buying or selling pressure is genuinely shifting — and when a volume surge makes that shift especially significant.
Key Features
Intrabar volume polarity estimation that splits each bar's volume into buy volume and sell volume based on candlestick direction
Raw volume delta histogram with adaptive transparency — surge bars appear vivid while normal bars remain faded for instant visual prioritization
EMA-smoothed delta line paired with an SMA signal line for MACD-style crossover detection
Volume surge detection using a configurable threshold (default: 1.618× the 50-bar average volume) to highlight bars with unusually high market participation
Momentum Cloud fill between the smoothed delta and signal line that visually encodes whether buyers or sellers currently hold the momentum advantage
Filtered buy and sell signals that only trigger when crossovers occur in optimal territory — oversold for buys, overbought for sells
How It Works
The indicator follows a three-stage calculation pipeline that transforms raw volume into a normalized momentum oscillator:
Stage 1: Volume Polarity Classification
Each bar's total volume is classified based on the relationship between its open and close prices. Bullish bars (close > open) assign 100% of volume to buyers. Bearish bars (close < open) assign 100% to sellers. Doji bars (close = open) split volume equally between buyers and sellers, reflecting market indecision. This simple yet effective heuristic provides a practical approximation of order flow without requiring tick-level data.
Stage 2: Delta Calculation and Smoothing
The raw volume delta (buy volume minus sell volume) is calculated for each bar. A positive delta indicates net buying pressure; a negative delta indicates net selling pressure. This raw delta is then smoothed using an Exponential Moving Average (EMA) with the user-defined "Delta Smoothing Length" (default: 14 periods) to reveal the underlying trend in volume flow. A Simple Moving Average (SMA) signal line is computed over the smoothed delta using the "Signal Line Length" (default: 9 periods), creating a slower reference for crossover analysis.
Stage 3: Surge Detection
A 50-period SMA of total volume establishes the baseline average volume. When the current bar's volume exceeds this average multiplied by the surge threshold (default: 1.618, inspired by the golden ratio), the bar is flagged as a volume surge. Surge bars receive vivid histogram coloring (low transparency) while normal bars remain faded (high transparency), instantly drawing the trader's attention to moments of exceptional market participation.
Trading Ideas and Insights
Accumulation and Distribution Detection — Sustained positive raw delta (green histogram bars) indicates accumulation by buyers, while sustained negative delta (red bars) reveals distribution by sellers. The smoothed delta line confirms whether this pressure is building or fading.
Momentum Crossover Entries — When the smoothed delta crosses above the signal line, buying momentum is accelerating relative to its recent average. When it crosses below, selling momentum is taking over. These crossovers function identically to MACD signal crossovers but are driven purely by volume dynamics.
Surge-Confirmed Moves — Volume surges that coincide with a delta crossover carry significantly more weight than crossovers on normal volume. A vivid green surge bar appearing alongside a bullish crossover suggests strong institutional participation behind the move.
Divergence Analysis — When price makes new highs but the smoothed delta fails to confirm with new highs of its own, it signals weakening buying conviction — a classic bearish divergence. The inverse applies for bullish divergences at price lows.
Zero-Line Context — The zero line represents equilibrium between buying and selling pressure. Crossovers of the smoothed delta above zero confirm a shift to net buyer dominance; crossovers below zero confirm net seller dominance.
How Multiple Indicators Work Together
The Luminous Volume Delta integrates three complementary analytical techniques into a unified volume analysis system:
The volume polarity estimation provides the raw directional data, the dual moving average system (EMA + SMA) creates a momentum oscillator framework, and the surge detection layer adds a volatility filter — together forming a complete volume-momentum analysis toolkit.
The raw delta histogram gives bar-by-bar granularity, showing the immediate balance of buying versus selling pressure. However, raw data is inherently noisy, which is why the EMA-smoothed delta line is overlaid to extract the trend from the noise. The EMA was chosen over an SMA for the delta line because it front-weights recent data, keeping the oscillator responsive to sudden shifts in volume flow.
The SMA signal line intentionally uses a different averaging method (SMA rather than EMA) to create a smoother, more stable reference. This deliberate mismatch between EMA and SMA produces more meaningful crossover events — the faster EMA reacts to changes in volume pressure while the slower SMA confirms that the shift is sustained rather than transient.
The surge detection system operates independently from the oscillator but provides critical context. A crossover signal on normal volume may represent routine market fluctuation, while the same crossover accompanied by a volume surge (highlighted by vivid histogram coloring) suggests genuine conviction behind the move. The golden ratio threshold (1.618×) provides a mathematically balanced sensitivity that captures meaningful volume spikes without flagging every minor uptick.
The Momentum Cloud fill between the delta and signal lines synthesizes the relationship between these two components into a single visual element — green when the delta leads (bullish momentum advantage) and red when the signal leads (bearish momentum advantage).
Unique Aspects
Volume-native oscillator — While most oscillators are price-derived (RSI, Stochastic, MACD), this indicator builds its entire oscillator framework from volume data, providing a fundamentally different perspective on market momentum.
Adaptive transparency histogram — The dual-transparency system (15% for surges, 75% for normal bars) creates an automatic visual hierarchy that highlights the most important volume events without requiring the trader to scan for them manually.
Golden ratio surge threshold — The default 1.618× multiplier is rooted in the golden ratio, providing a naturally balanced detection sensitivity that has been observed to align well with significant volume expansion events across various markets and timeframes.
Zone-filtered signals — Buy signals require the crossover to occur in negative territory (oversold accumulation), and sell signals require it in positive territory (overbought distribution). This filtering eliminates low-conviction signals that occur in neutral mid-range territory.
Mixed MA crossover design — Using an EMA for the delta line and an SMA for the signal line is a deliberate design choice that balances responsiveness with stability, producing higher-quality crossover signals than same-type MA pairs.
How to Use
Add the Luminous Volume Delta indicator to your chart. It will appear in a separate panel below the price chart.
Observe the histogram bars for immediate volume delta context — green bars indicate net buying pressure, red bars indicate net selling pressure. Vivid (bright) bars signal a volume surge event.
Monitor the blue smoothed delta line and orange signal line for crossover signals. A bullish crossover (delta crossing above signal) in negative territory suggests accumulation is beginning. A bearish crossover in positive territory suggests distribution is starting.
Use the Momentum Cloud color to confirm the prevailing volume momentum direction — green cloud means buyers are in control, red cloud means sellers dominate.
Pay special attention when surge bars coincide with crossover signals — these high-volume crossovers carry significantly more conviction than normal-volume crossovers.
Watch for divergences between price and the smoothed delta line to identify potential trend exhaustion before it becomes visible in price action.
Combine with price action analysis, support/resistance levels, or trend-following indicators for additional confirmation before executing trades.
Customization
Delta Smoothing Length (default: 14) — Controls the EMA period applied to the raw volume delta. Increase for smoother, longer-term volume trend analysis (20-30); decrease for more responsive, shorter-term signals (7-10).
Signal Line Length (default: 9) — Controls the SMA period applied to the smoothed delta. Higher values produce fewer but more reliable crossover signals; lower values increase signal frequency at the cost of more noise.
Volume Surge Threshold (default: 1.618) — The multiplier of the 50-bar average volume that triggers surge highlighting. Increase to only flag extreme volume events (2.0-3.0); decrease for more sensitive surge detection (1.2-1.5).
Bullish / Bearish Colors — Customize the histogram and cloud fill colors to match your chart theme.
Delta Line / Signal Line Colors — Adjust the oscillator line colors for optimal visibility against your chart background.
Conclusion
The Luminous Volume Delta offers a methodologically distinct approach to momentum analysis by building its oscillator framework entirely from volume polarity data rather than price. By combining intrabar volume classification, dual moving average smoothing, and adaptive surge detection into a single cohesive system, it provides traders with insights that pure price-based indicators cannot deliver — specifically, who is in control (buyers or sellers), how strongly they are in control (surge vs. normal volume), and when that control is shifting (crossover signals filtered by momentum zone). Whether you are a day trader looking for volume-confirmed entries, a swing trader seeking accumulation and distribution patterns, or a position trader monitoring institutional participation, this indicator provides a structured, visually intuitive framework for understanding the volume dynamics that drive price movement.
Indicador
Indicador
Delta Strike: Order Flow Absorption & Momentum Confirmation**Delta Strike** is a professional-grade quantitative tool designed for traders who prioritize institutional logic over simple price action. It moves beyond traditional "buy/sell" indicators by dissecting the battle between **Passive Absorption** and **Aggressive Initiative** using underlying Order Flow data.
### 🛡️ The Core Philosophy: "Wait for the Trap, Trade the Escape"
Markets rarely reverse instantly. **Delta Strike** follows a rigorous two-step verification process to filter out noise and hunt for high-probability institutional footprints:
1. **Phase 1: Institutional Absorption (Left-Side Setup)**
The system identifies "Base Bars" where high volume and extreme Delta (passive buying/selling) occur, but price fails to continue. This indicates that a large player is absorbing the current move.
2. **Phase 2: Aggressive Strike (Right-Side Confirmation)**
We do not "catch the knife." Instead, the indicator monitors the next **N bars** for a confirmed strike. A signal is only triggered when price engulfs the base bar and is backed by a significant **Active Delta Percentage**, proving that the "absorber" has now become the "aggressor."
### 🚀 Key Technical Features
* **Dual-Cycle Volume Matrix**: Unlike standard indicators, Delta Strike analyzes volume across two lookback periods simultaneously (Short-term 20 & Long-term 50). It classifies setups into three categories:
* 🔥 **Dual-Cycle Convergence** (Maximum Strength)
* ⚡ **Short-term Spike** (Local Volatility)
* 🌊 **Macro Volume Surge** (Long-term Accumulation)
* **Active Delta Intensity Filter**: Every confirmation bar is evaluated for its "Net Win Ratio." By filtering out low-conviction, low-volume breakouts, it ensures you only follow moves with real institutional backing.
* **RSI Environment Guard**: Integrated RSI logic ensures that bottom absorption is only hunted in "Oversold" zones and top absorption in "Overbought" zones, significantly reducing whipsaws in sideways markets.
* **Validated SuperTrend (Delta-Sync)**: A modified SuperTrend algorithm that requires a "Delta Handshake." A trend flip is only considered valid if price and Delta move in the same direction, preventing "fake-outs" during low-liquidity periods.
### 📊 Clean & Actionable UI
* **Base Bar Highlight**: When a setup is confirmed, the script retroactively draws a **Yellow (Bullish)** or **Fuchsia (Bearish)** box around the original absorption bar.
* **Trace Lines**: Dashed lines connect the original institutional entry to your current entry point, providing immediate visual context for the trade's logic.
* **Momentum Rating (🐂/🐻)**:
* **3 Stars (🐂🐂🐂)**: Extreme Delta Strike (>20% Net Win).
* **2 Stars (🐂🐂)**: High Conviction Strike (>10% Net Win).
* **1 Star (🐂)**: Standard Confirmation.
### 🔔 Smart Alert System
Equipped with a fully customizable alert suite. You can set alerts for:
* **Absorption Confirmations** (Long/Short)
* **Validated SuperTrend Breakouts**
*Note: For the most accurate results, it is recommended to use "Any alert() function call" and set frequency to "Once Per Bar Close" to avoid repainting during intra-bar fluctuations.*
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### How to use:
1. Look for the ** ** label and highlighted box.
2. Wait for the **Strike icons (🐂/🐻)** to appear within the N-bar window.
3. Combine with your existing Support/Resistance levels for optimal strike rates.
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Price-Point Volume Oscillator [LuxAlgo]The Price-Point Volume Oscillator indicator estimates the volume distribution at the current price level by analyzing historical bars that intersect with the current market price.
🔶 USAGE
This tool provides a unique perspective on volume by filtering historical price action to show only the volume that occurred when the price was at its current level. This helps traders identify whether the current price point has historically been a zone of high buying pressure, heavy selling, or balanced distribution.
The indicator consists of several visual components:
Buy/Sell Volume Areas: The background shows the estimated buying volume (green area) and selling volume (red area) accumulated at the current price over the lookback period.
Volume Delta Histogram: The central histogram represents the net difference (Delta) between buy and sell volume. A green histogram indicates a net positive buying bias at the current price, while a red histogram indicates a net negative selling bias.
Dashboard: A real-time table providing specific metrics, including estimated Buy/Sell totals, the net Delta, and the Delta Percentage.
Traders can use this oscillator to confirm support or resistance levels. For example, if the price approaches a previous level and the Delta Histogram shows significant buying volume at that specific price point, it may suggest strong historical demand.
🔶 DETAILS
The script operates by looping through a user-defined lookback window. For every historical bar, it checks if the current close price falls within that bar's High-Low range. If it does, the volume from that historical bar is "allocated" to the current price level.
To differentiate between buying and selling volume, the script uses a ratio based on where the historical bar closed relative to its range. If a historical bar closed near its high, a larger portion of its volume is attributed to "Buy Volume" at the current price.
🔶 SETTINGS
🔹 Settings
Lookback Window: Determines the number of historical bars the indicator analyzes to find price intersections. A larger window provides a more comprehensive historical view but requires more calculations.
🔹 Visuals
Show Dashboard: Toggles the visibility of the real-time statistics table.
Position: Controls where the dashboard is anchored on the chart (Top Right, Bottom Right, or Bottom Left).
Size: Adjusts the text and table size of the dashboard to fit different screen resolutions.
Indicador
Dynamic Delta FVG [LuxAlgo]The Dynamic Delta FVG indicator provides a comprehensive analysis of Fair Value Gaps (FVGs) by integrating intra-bar volume delta to visualize the internal buying and selling pressure within price imbalances.
🔶 USAGE
The script identifies standard Fair Value Gaps and enhances them by splitting the visual representation into two distinct segments based on volume delta. This allows traders to see exactly where institutional aggressive orders were concentrated during the formation of the gap.
Users can utilize this tool to:
Identify high-probability FVGs where the volume delta aligns with the gap direction. Determine specific price levels within a gap that acted as the primary "point of control" for buyers or sellers. Monitor real-time sentiment through a dynamic dashboard that aggregates the delta of all active imbalances. Filter out insignificant market noise using ATR and volume-based threshold settings.
🔹 Detailed Buyer/Seller Tags
Each active FVG features a dynamic tag on the right edge displaying the specific percentage of buying (B) and selling (S) volume that occurred within that price range. The tag background color shifts based on the dominant force, providing an immediate visual cue of the gap's internal strength. These tags move dynamically as the boxes expand, ensuring they always remain at the current price action edge.
🔹 Filter Overlapping
When enabled, the script will automatically remove existing active FVGs that overlap with a new discovery. This ensures only the most recent "current" imbalance is displayed in a specific price zone, preventing visual clutter and focusing on the most relevant institutional levels.
🔹 Mitigation Modes
The script supports two mitigation modes to suit different trading styles:
**Touch:** A gap is considered mitigated as soon as price enters the range. **Full Fill:** A gap remains active until price has completely traversed the entire range of the imbalance.
🔶 DETAILS
The indicator utilizes
request.security_lower_tf()
to fetch granular volume data from lower timeframes (e.g., 1-second data). This allows for a precise calculation of "Buy Volume" versus "Sell Volume". The split in the FVG box represents the ratio of these volumes. For example, if an FVG has 70% buying volume, the green segment will occupy 70% of the vertical height of the box, while the red segment occupies the remaining 30%.
🔹 Aggregate Sentiment Dashboard
The dashboard calculates market strength across all active imbalances rather than just categorizing by gap direction. This means if multiple bullish FVGs contain significant "absorbed" selling volume, the "Seller Strength" metric will accurately reflect this bearish pressure. The Net Sentiment is derived from the net difference between aggregate buyer and seller percentages across all active gaps.
🔶 SETTINGS
🔹 Detection Filters
**Min Volume Threshold:** Multiplier for the 20-period average volume. Gaps forming on volume lower than this threshold are ignored. **Min ATR Magnitude:** Sets the minimum required size of the FVG relative to the current ATR. **Mitigation Mode:** Determines whether a touch or a full fill "closes" the gap. **Filter Overlapping:** When enabled, the script deletes older active gaps that overlap with new ones.
🔹 Volume Delta Analysis
**Delta Timeframe:** The lower timeframe used for volume calculations. Required for higher precision on 1m charts.
🔹 Visuals
**Max Active Gaps:** Limits the number of boxes displayed on the chart (Default: 10). **Buyer/Seller Color:** Customizable colors for the split segments within the FVG. **Show Mitigated Gaps:** When enabled, mitigated gaps remain on the chart with a faded appearance.
🔹 Dashboard
**Show Dashboard:** Toggles the real-time sentiment and imbalance summary table. **Position/Size:** Controls the UI placement and scale of the dashboard. Indicador
Liquidation Heatmap by RumiancevLiquidation Heatmap by Rumiancev
Overview
Liquidation Heatmap is an open-source visual map of estimated liquidation zones built from activity spikes .
When the script detects an unusually large spike, it projects liquidation levels for multiple leverage tiers and aggregates them into horizontal price “bins”. Each bin accumulates weight over time and is displayed as a color gradient:
• Brighter / hotter = higher accumulated weight
• Darker / colder = lower accumulated weight
Important: This is not an exchange liquidation feed and it does not display “real liquidation prices”. It is a proxy model designed to visualize where liquidation pressure could be clustering based on abnormal market activity.
Why BTCUSDT.P is recommended
For the most consistent and “liquidation-relevant” behavior, use a perpetual futures symbol such as BTCUSDT.P .
Perpetual markets provide Open Interest , so the script can use OI Delta (change in OI) as the spike stream. OI delta typically reflects leveraged positioning changes (build-up / flushes) more directly than spot volume.
• On perpetuals → OI data is available → spikes are usually cleaner for this model
• On spot → OI is not available → the script may fall back to volume, which can be noisier
If needed, set OI Symbol Override manually (examples are shown in the input tooltip).
How it works (logic)
1) Select a spike stream
• AUTO : uses OI Delta if available, otherwise Volume
• OI : forces OI Delta
• VOL : forces Volume only
2) Detect spike events
The script measures abnormal activity using a Z-score style approach on the absolute stream:
• Spike Lookback defines the baseline window
• Sensitivity maps to a threshold (lower = more events, higher = fewer events)
• Min bars between events optionally reduces clustering on lower timeframes
3) Project liquidation prices
For each spike event, liquidation estimates are calculated for up to three leverage tiers:
• Long liquidations are projected below the reference price
• Short liquidations are projected above the reference price
4) Bin, accumulate, and colorize
Projected levels are snapped into bins using Bin Scale (ticks) .
Bin weight is accumulated and displayed as a gradient between Low density and High density .
5) Freeze on touch
When price touches a bin (wick or close, depending on settings), the bin is frozen :
• it stops updating
• it becomes dotted / high transparency
This keeps a lightweight history of zones that have been interacted with.
How to read the map
• Bins below price often represent potential long-liquidation pressure zones
• Bins above price often represent potential short-liquidation pressure zones
• Brighter bins = more accumulated spike weight → potentially more crowded zone
• Frozen dotted bins = price already touched that zone (historical interaction)
Timeframes (recommendations)
This indicator runs on any timeframe, but density/noise changes significantly.
Best balance (recommended):
• 15m / 1H / 4H — good signal-to-noise and clean structure
Higher timeframes (cleaner, fewer zones):
• 12H / 1D — fewer events, more “macro” zones
Lower timeframes (noisier by nature):
• 1m / 3m / 5m — more spikes and more bins
To reduce clutter on low TF, consider:
• increasing Sensitivity (e.g., 14–18)
• enabling Min bars between events (e.g., 10–30)
• increasing Bin Scale (ticks) (thicker bins → fewer levels)
• enabling Keep only local range bins
Inputs (what each setting does)
Source
• Source Mode : AUTO / VOL / OI
• OI Symbol Override : manual OI source if AUTO is not suitable
Event (Spike) Filter
• Spike Lookback : baseline window for mean/stdev
• Sensitivity : lower = more events, higher = fewer events
• Use high/low for touch test : wick-based touches
• Min bars between events : reduces spike clustering
Liquidation Levels (bins)
• Reference Price : base price for projections (close/hl2/etc.)
• Leverage 1/2/3 : leverage tiers (set to 0 to disable any tier)
• Bin Scale (ticks) : bin thickness (bigger = fewer bins)
• Extend (bars) : how long active bins extend
• Max active bins per side : cap for active bins
• Dispersion (%) : splits part of the weight to the opposite side
• Keep only local range bins + Local range lookback : trims bins far from recent range
Visual
• Gradient colors, frozen transparency, legend, and debug marker
Limitations / Disclaimer
This script is provided for research and educational purposes only . It is not financial advice .
The plotted zones are estimates derived from a simplified model (spike detection + leverage projections). Results depend on symbol, exchange data availability (OI), and timeframe.
Indicador
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis
Overview
Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels.
Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods.
This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance.
Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones.
Conceptual Framework
Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points.
Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition.
Three core principles guide the design:
Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone.
Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control.
Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution).
This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones.
Theoretical Foundation
The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis.
A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row.
Five internal systems operate in tandem:
Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points.
Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance.
Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row.
Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction.
Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending.
This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone.
How It Works
Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes:
Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors.
Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity.
Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move.
Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations.
Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries.
Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone.
Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows.
Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring.
Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation.
Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements.
Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition.
Interpretation
Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones:
Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated.
Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated.
Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges.
Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests.
Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution).
Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance.
Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled.
Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening.
Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance.
POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure.
Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions.
Signal Logic & Visual Cues
Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals:
Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established.
First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain.
POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone.
Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation.
Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction.
Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction.
Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability.
Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely.
The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches.
Strategy Integration
Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches:
Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels.
POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward.
Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction.
Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution.
Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods.
Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability.
Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels.
Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones.
Technical Implementation Details
Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation
Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension
Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation
Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row
POC Identification : Maximum volume row detection with visual emphasis rendering
Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation
Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing
Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback
15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity
4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps
Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence
Suggested Baseline Configuration:
Swing Length : 8
Impulse Size (ATR) : 1.2
Base Lookback Candles : 3
ATR Length : 14
Maximum Zone Height (ATR) : 4.0
Maximum Zones : 10
Extend Zones (bars) : 60
Merge Overlapping Zones : Enabled
Merge Gap (ATR) : 0.3
Mitigation Type : Wick
Profile Rows : 10
Profile Width (%) : 0.5
Show POC Line : Enabled
Show Delta Profile : Enabled
Delta Profile Width (%) : 0.35
Show Zone Info Box : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation.
Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations.
Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods.
Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones.
Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only.
Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances.
Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely.
Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances.
Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration.
Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration.
Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts.
Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Range-bound and mean-reverting markets where institutional zones provide reliable turning points
Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution
Swing trading approaches targeting zone-to-zone reactions with defined risk parameters
Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions
Markets where delta proxy correlates well with actual order flow (trending volume instruments)
Position trading benefiting from macro supply/demand structure with embedded volume context
Reduced Effectiveness:
Extremely low volume environments where profile distribution becomes unreliable and sparse
News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns
Highly trending markets where zones consistently mitigate without providing reversal opportunities
Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading
Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context
Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision
Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply
Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts
Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas
Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness
Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals
Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement
Disclaimer
Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management. Indicador
Aggregated Open interest + Volume DeltaAggregated Open Interest from Binance + Bybit with adaptive threshold detection, delta-based
positioning classification, and noise-killing bar coloring.
Most OI indicators show you raw data. This one filters out the noise and highlights only what matters
— significant OI events that move the market.
How It Works
The indicator aggregates Open Interest OHLC data from 4 sources:
- Binance USDT & USD perpetuals
- Bybit USDT & USD perpetuals
It then applies an adaptive SMA-based threshold to detect statistically significant OI changes. Only
bars that exceed the threshold get colored — everything else is dimmed to dark grey. This is the
signature feature: at a glance, you see only the bars that matter.
The Core Logic: Delta + OI Positioning
Most OI indicators classify bars using candle color (bullish/bearish close). This is wrong.
A candle can close bearish after a liquidity sweep above a high — but the actual volume delta is
positive (shorts buying to cover their stops). Candle color lies. Delta tells the truth.
The key insight: OI increasing = new fuel (positions that can be squeezed). OI decreasing = exits (no
new fuel, just unwinding).
Features
Display Modes
- OI Candles — OHLC candlestick chart of total aggregated OI
- OI Delta — Bar chart showing per-bar OI change (close - open, intra-bar)
Threshold-Based Bar Coloring
- Normal candles dimmed to dark grey — cuts through noise instantly
- 4-color fuel mode: bright green (Agg Longs), bright red (Agg Shorts), muted red (Rekt Longs), muted
green (Rekt Shorts)
- Simple 2-color mode also available (green = OI up, red = OI down)
- All colors fully configurable
Order Flow Detection
- Smart labels on each significant bar (AGG LONGS, AGG SHORTS, REKT LONGS, REKT SHORTS)
- Liquidation cascade detection — highlights when 2+ consecutive bars show large OI decrease (margin
cascade)
- Absorption detection — large OI increase with a small candle body signals institutional accumulation
Screener Table
- Bottom-right table showing dollar values over a configurable lookback (default 200 bars):
- Rekt Longs / Rekt Shorts
- Aggressive Longs / Aggressive Shorts
- Total aggregated OI
8 Alert Conditions
- Large OI Increase / Decrease
- Rekt Longs / Rekt Shorts
- Aggressive Longs / Aggressive Shorts
- Liquidation Cascade
- Absorption
Settings
- Threshold Multiplier (default 5.0) — higher = fewer events, lower = more sensitive
- SMA Lookback (default 300) — adaptive threshold window
- Data Sources — toggle each exchange on/off independently
- Dim Normal Bars — the signature grey-out effect (on by default)
- 4-Color Fuel Mode — positioning-aware coloring (on by default)
- OI EMA — optional moving average overlay on OI candles
Why Delta + OI > Candle Color + OI
Example: Price sweeps above a swing high (SFP), then reverses and closes bearish. Standard indicators
see "bearish candle + OI decrease" and label it "Rekt Longs." But the volume delta on that bar is
positive — shorts were buying to cover their stops above the high. The correct label is Rekt Shorts.
This indicator gets it right because it uses delta, not candle color.
Usage Tips
- Works on any crypto perpetual chart — dynamically builds symbols from syminfo.basecurrency
- Best on 5m, 15m, 1H, 4H timeframes
- Start with default settings (multiplier 5, lookback 300) then adjust to your timeframe
- Lower multiplier = more signals, higher = only the biggest events
- Combine with supply/demand zones for confluence — significant OI events at key levels are the
highest-probability setups
Created by: AghaInvst Indicador
Indicador
Cumulative Volume Delta[MIT]Cumulative Volume Delta Depth
This indicator provides a simplified approximation of Cumulative Volume Delta based on candlestick structure, helping to estimate short-term aggressive buying vs. selling pressure.
Core Calculation Logic:
Delta ≈ Volume × (Close - Open) / (High - Low)
- Positive Delta when the candle has a strong bullish body (more aggressive buying)
- Negative Delta when the candle has a strong bearish body (more aggressive selling)
- Near zero when the body is very small (indecision / balanced pressure)
Key Features:
- Column chart shows cumulative Delta (resets on new day by default)
- Orange line = smoothed Delta (default 5-period SMA)
- Teal tint for positive values, maroon tint for negative values
- Zero line for easy visual reference of net buying/selling shifts
Use Cases:
- Identify short-term buying/selling dominance
- Spot divergences (e.g. price makes new high but Delta fails to confirm → potential exhaustion)
- Works best on high-volume instruments (futures, crypto, liquid stocks)
Limitations:
- This is an approximation based on OHLC structure, NOT real tick-by-tick order flow
- Long shadows, small bodies, gaps, or low-volume bars may distort the result
- Best used in combination with other volume/price tools (VWAP, OBV, volume spikes, etc.)
Parameters:
- Cumulative Period: Controls lookback/reset logic (default 200 bars)
- Smoothing Period: Length of Delta moving average (default 5)
- Show MA: Toggle orange smoothed line on/off
这是一个基于K线形态粗估的累计成交量Delta指标，用于近似判断短期内主动买方与主动卖方的力量对比。
核心计算逻辑：
Delta ≈ Volume × (Close - Open) / (High - Low)
- 当阳线实体较长时，Delta为正值（偏向买方主动）
- 当阴线实体较长时，Delta为负值（偏向卖方主动）
- 小实体或十字星时Delta接近0
指标特点：
- 柱状图显示累计Delta（可每日重置）
- 橙色线为Delta的平滑均线（默认5周期，可调）
- 正值区域用青色系着色，负值区域用酒红色系着色
- 零轴辅助线，便于观察多空转折
适用场景：
- 辅助判断日内/短线多空力量变化
- 结合价格走势观察是否有背离（价格创新高但Delta不创新高，可能见顶）
- 适合期货、加密货币、活跃股票等成交量较大的品种
局限性：
- 这只是基于K线结构的近似估算，并非真实逐笔方向分类
- 对长影线、小实体K线或跳空行情可能失真
- 建议结合其他量价指标（如VWAP、OBV、成交量放大）一起使用
参数说明：
- 累计周期：控制Delta是否每日/每周重置（默认200根，建议设大值保持连续性）
- 平滑周期：Delta平滑均线的长度（默认5）
- 显示均线：是否显示橙色平滑线 Indicador
Kalman Absorption/Distribution Tracker 3-State EKFQuant-Grade Institutional Flow: 3-State EKF Absorption Tracker
SUMMARY
An advanced, open-source implementation of a 3-State Extended Kalman Filter (EKF) designed to track institutional Order Flow. By analyzing 1-second intrabar microstructure data, this script estimates the true Position, Velocity, and Volatility of the Cumulative Volume Delta (CVD), revealing hidden Absorption and Distribution events in real-time.
INTRODUCTION: THE SIGNAL AMIDST THE NOISE
In the world of technical analysis, noise is the enemy. Traditional indicators rely on Moving Averages (SMA, EMA) to smooth out price and volume data. The problem is the "Lag vs. Noise" paradox: to get a smooth signal, you must accept lag; to get a fast signal, you must accept noise.
This indicator solves that paradox by introducing aerospace-grade mathematics to the TradingView community: The 3-State Extended Kalman Filter (EKF).
Unlike moving averages that blindly average past data, a Kalman Filter is a probabilistic state-space model. It constantly predicts where the order flow "should" be, compares it to the actual measurement, and updates its internal model based on the calculated uncertainty of the market.
This script is not just another volume oscillator. It is a full microstructure analysis engine that digests intrabar data (down to 1-second resolution) to track the true intent of "Smart Money" while filtering out the noise of retail chop.
THE INNOVATION: WHY 3 STATES?
Most Kalman Filters found in public libraries are "1-State" (tracking price only) or occasionally "2-State" (tracking price and velocity). This script introduces a highly advanced 3-State EKF.
The filter tracks three distinct variables simultaneously in a feedback loop:
State 1: Position (The True CVD)
This is the noise-filtered estimate of the Cumulative Volume Delta. It represents the actual inventory accumulation of aggressive buyers versus sellers, stripped of random noise.
State 2: Velocity (The Momentum)
This tracks the rate of change of the order flow. Is buying accelerating? Is selling pressure fading even as price drops? This provides a leading signal before the cumulative value even turns.
State 3: Volatility (The Adaptive Regime)
This is the game-changer. The filter estimates the current volatility of the order flow (Log-Volatility). In high-volatility environments (like news events), the filter automatically widens its uncertainty bands (Covariance) and reacts faster. In low-volatility environments (chop), it tightens up and ignores minor fluctuations.
THE LOGIC: DETECTING ABSORPTION AND DISTRIBUTION
The core philosophy of this indicator is based on Wyckoff Logic: Effort vs. Result.
-- Effort: Represented by the CVD (Buying/Selling pressure).
-- Result: Represented by Price Movement.
When these two diverge, we have an actionable signal. The script uses the EKF Velocity state to detect these moments:
Absorption (Bullish)
This occurs when the EKF detects high negative Velocity (aggressive selling), but Price refuses to drop. The "Smart Money" is absorbing the sell orders via limit buys. The indicator highlights this as a Blue Event in the dashboard.
Distribution (Bearish)
This occurs when the EKF detects high positive Velocity (aggressive buying), but Price refuses to rise. Limit sellers are capping the market. The indicator highlights this as an Orange Event.
TECHNICAL DEEP DIVE: UNDER THE HOOD
For the developers and quants, here is how the Pine Script is architected using the "type" and "method" features of Pine Script v5.
1. Data Ingestion (Microstructure)
The script uses "request.security_lower_tf" to pull intrabar data regardless of your chart timeframe. This allows the script to see "inside" the bar. A 5-minute candle might look green, but the microstructure might reveal that 80% of the volume was selling absorption at the wick. This script sees that.
2. Tick Classification
Standard CVD assumes that if Price Close is greater than Price Open, all volume is buying. This is often flawed. This script offers three modes of tick handling, including a "High-Low Distribution" method that statistically apportions volume based on where the tick closed relative to its high and low.
3. The EKF Mathematics
The script implements the standard Extended Kalman Filter equations manually. It calculates the Jacobian matrix to handle the non-linear relationship between volatility and price. The "Process Noise Matrix" (Q) is dynamically scaled by the Volatility State. This means the mathematics of the indicator literally "breathe" with the market conditions—expanding during expansion and contracting during consolidation.
THE DASHBOARD & VISUALS:
The indicator features a professional-grade HUD (Heads Up Display) located on the chart table.
-- EKF State Vector: Displays the real-time Position, Velocity, and Volatility values derived from the matrix.
-- Ease of Movement (Wyckoff): Calculates how much price moves per 1,000 contracts of CVD. For example, if Price moves +5 points per 1k Buy CVD, but only -2 points per 1k Sell CVD, the "Path of Least Resistance" is clearly UP.
-- Session State: Tracks cumulative confirmed Bullish vs. Bearish events for Today, Yesterday, and the Day Before (3-Day Profile).
-- Bias Summary: An algorithmic conclusion telling you if the day is "Confirmed Bullish," "Accumulating," or "Neutral."
HOW TO TRADE THIS INDICATOR
Strategy A: The Reversal (Absorption Play)
Look for price making a Lower Low.
Look for the EKF Velocity (Histogram) to be Deep Red (High Selling Pressure).
Watch the Dashboard "Absorption" count increase.
SIGNAL: When EKF Velocity crosses back toward zero and turns grey/green, the absorption is complete. This indicates sellers are exhausted and limit buyers have control.
Strategy B: The Trend Continuation (Ease of Movement)
Check the Dashboard "Ease of Movement" section.
If "Price per +1K CVD" is significantly higher than "Price per -1K CVD", buyers are efficient.
Wait for a pullback where EKF Velocity hits the "Neutral Zone" (Gray).
SIGNAL: Enter Long when Velocity ticks positive again, aligning with the dominant Ease of Movement stats.
CONFIGURATION GUIDE:
Because this is a quant-grade tool, the settings allow for fine-tuning the physics of the filter.
-- Velocity Decay: Controls how fast momentum resets to zero. Set high (0.98) for trending markets, or lower (0.85) for mean-reverting chop.
-- Volatility Persistence: Controls how "sticky" volatility regimes are.
-- Process Noise: Increase this if the filter feels too laggy; decrease it if the filter feels too jittery (noisy).
-- Measurement Noise: Increase this to trust the Mathematical Model more than the Price Data (smoother output).
WHY OPEN SOURCE?
Complex statistical filtering is often sold behind closed doors in expensive "Black Box" algorithms. By releasing this 3-State EKF open source, the goal is to raise the standard of development on TradingView.
I encourage the community to inspect the code, specifically the "ekf_update_3state" function, to understand how matrix operations can be simulated in Pine Script to create adaptive, self-correcting indicators. And also update me for improvements.
DISCLAIMER:
This tool analyzes microstructure volume data. It requires a subscription plan that supports Intrabar inspection (Premium/Pro recommended for best results). Past performance of the Kalman Filter logic does not guarantee future results. Volume analysis is subjective and should be used as part of a comprehensive strategy.
SUGGESTED SETTINGS
-- Timeframe: Works best on 1m, 3m, or 5m charts (Intrabar data is fetched from 1S).
-- Asset Class: Highly effective on Futures (ES, NQ, BTC) and high-volume Forex/Crypto pairs where volume data is reliable.
-- Background: Dark mode recommended for Dashboard visibility.
WHAT IS A KALMAN FILTER?
Imagine driving a car into a tunnel where your GPS signal is lost.
Prediction: Your car knows its last speed (Velocity) and position. It predicts where you are every second inside the tunnel.
Update: When you exit the tunnel, the GPS connects again. The system compares where it thought you were versus where the satellite says you are.
Correction: It corrects your position and updates its estimate of your speed.
Now apply this to trading:
-- The Tunnel: Market Noise, wicks, and Fake-outs.
-- The Car: The True Market Trend.
-- This Indicator: The navigation system that tells you where the market actually is, ignoring the noise of the tunnel.
Enjoy the indicator and trade safe!
Dr. Jay Desai
(Investment Management & Derivatives Area, Gujarat University)
Indicador
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction
Overview
Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis.
Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow.
This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance.
Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels.
Conceptual Framework
Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns.
Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure.
Three core principles guide the design:
Zone placement should correspond to cumulative delta extremes, not price pivots alone.
Zone thickness must adapt to current market volatility conditions.
Flow composition context reveals whether zones formed under accumulation or distribution.
This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries.
Theoretical Foundation
The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis.
A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting.
Four internal systems operate in tandem:
Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement.
Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement.
Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors.
Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context.
This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations.
How It Works
Delta Reaction Zones evaluates price through a sequence of flow-aware processes:
Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure.
Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time.
Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor.
Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions.
Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction.
Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally.
Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions.
Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity.
Together, these elements form a continuously updating supply and demand framework anchored in order flow reality.
Interpretation
Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries:
Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred.
Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated.
Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage.
BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity.
Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context.
Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets.
Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes.
Flow composition, volatility context, and delta magnitude outweigh isolated price reactions.
Signal Logic & Visual Cues
Delta Reaction Zones presents two primary interaction signals:
Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest.
Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure.
Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring.
Strategy Integration
Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches:
Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred.
Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones.
Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them.
Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance.
Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers.
Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision.
Technical Implementation Details
Core Engine : Signed volume delta proxy with EMA smoothing
Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection
Zone Construction : ATR-scaled thickness around pivot anchors
Flow Analysis : Positive/negative decomposition over configurable impulse window
Visualization : Gradient-filled zones with embedded flow statistics and percentage segments
Signal Logic : Midline crossover detection with breach-based invalidation
Merge System : Proximity-based consolidation with weighted flow blending
Performance Profile : Optimized for real-time execution with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure flow zones for scalping and short-term reversals
15 - 60 min : Intraday supply/demand identification with flow context
4H - Daily : Swing-level reaction zones with macro flow characterization
Suggested Baseline Configuration:
Delta Smoothing Length : 3
Pivot Length : 12
Pivot Source : Cumulative Delta
Impulse Window : 100
ATR Length : 14
ATR Multiplier : 0.35 (reduce for lower timeframes)
Maximum Zones : 8
Merge Overlapping Zones : Enabled
Merge Gap : 20 ticks
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes.
Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation.
Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation.
Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity.
Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition.
Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume and order flow characteristics
Instruments where delta proxy correlates well with actual tape reading
Mean-reversion strategies targeting flow exhaustion zones
Trend continuation entries at zones aligned with dominant flow direction
Reduced Effectiveness:
Extremely low volume environments where delta proxy becomes unreliable
News-driven or gapped markets with discontinuous flow
Highly manipulated or illiquid instruments with erratic volume patterns
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis
Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance
Context Awareness : Consider whether current market regime matches zone formation conditions
Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections
Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries
Disclaimer
Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management. Indicador
Volume Flow and Delta Analysis [MarkitTick]💡This comprehensive technical indicator is designed for traders who require a granular view of market participation that goes beyond standard volume bars. By leveraging the advanced "Intrabar Analysis" capabilities of Pine Script, this tool deconstructs every single price candle on your chart into its constituent lower-timeframe components. It effectively "X-rays" the market to determine whether the volume inside a bar was primarily driven by aggressive buying or aggressive selling, providing a definitive read on market sentiment and institutional control.
● Originality and Utility
Most standard volume indicators display a simple aggregate total—a single block of volume that fails to distinguish between buying pressure and selling pressure. A high-volume candle could represent a strong breakout, or it could represent a "selling tail" where buyers were absorbed. This script solves that ambiguity. It is not a standard oscillator; it is a quantitative flow analyzer. It reconstructs the "Delta" (the net difference between buying and selling volume) by querying lower-timeframe data (e.g., analyzing 1-minute data inside a 60-minute bar). This allows traders to spot "Hidden Accumulation" (where price is flat but Delta is rising) or "Exhaustion" (where price rises but Delta falls), offering a significant edge in identifying reversals and trend continuations.
● Methodology
The script operates through a sophisticated three-stage quantitative process:
• Intrabar Data Acquisition
The script uses the security_lower_tf function to fetch granular price and volume data from a lower timeframe (automatically detected or user-defined). This allows the script to see what happened "inside" the current chart's bar.
• Directional Flow Distribution
For every lower-timeframe interval, the script assigns volume to either "Bullish Flow" or "Bearish Flow." If the close is higher than the open on the lower timeframe, the volume is credited to buyers. If the close is lower, it is credited to sellers. This logic is far more accurate than simple "Up/Down" tick data, as it respects price action.
• Statistical Volatility Normalization
To filter out noise, the script calculates a dynamic baseline using an Exponential Moving Average (EMA) of the absolute Delta values. It then compares the current bar's Delta against this baseline. This generates an "Intensity Score" (measured in Sigma or Standard Deviations). This ensures that a "High Volume" signal is relevant to the current market volatility, rather than relying on fixed, arbitrary thresholds.
● How to Use
This tool is designed to be a complete decision-support system. Here is how to interpret its various components:
• The Volume Histogram
The background histogram displays Total Volume, while the foreground bars show the split between Buying (Teal) and Selling (Red) flow. Use this to gauge the "quality" of a move. A price rally accompanied by high Teal volume is healthy; a rally on low volume or high Red volume is suspect.
• The Delta Histogram
This plots the net difference.
Strong Positive (Green) Delta: Indicates aggressive market buy orders are hitting the ask.
Strong Negative (Red) Delta: Indicates aggressive market sell orders are hitting the bid.
Divergence: If Price makes a New High but the Delta Histogram makes a Lower High, this is a classic signal of exhaustion and potential reversal.
• The Heads-Up Display (HUD)
A dashboard table pinned to the chart provides real-time metrics:
Session Delta: The cumulative buy/sell pressure for the current trading day.
Flow Regime: Clearly states if the market is in "ACCUMULATION" or "DISTRIBUTION."
Intensity: Shows how statistically significant the current volume is (e.g., "2.5x" means the volume is 2.5 times the standard deviation, indicating an anomaly).
• Visual Signals
The script plots triangle markers on top of the chart when the Delta Intensity exceeds the user-defined threshold.
Up Triangle (Green): Signals strong institutional buying pressure (Delta > Threshold).
Down Triangle (Red): Signals strong institutional selling pressure (Delta < Threshold).
● Inputs and Configuration
Lower Timeframe: By default, the script auto-selects the best resolution (e.g., 1-minute data for hourly charts). Users can override this to fine-tune the granularity.
Volume MA Length: Defines the lookback period for the volume moving average.
Delta Volatility Threshold (Sigma): This is the sensitivity filter for signals. A higher value (e.g., 2.0) results in fewer but more significant signals. A lower value (e.g., 1.0) provides more frequent alerts.
Visual Logic: Users can toggle the Dashboard, Delta Histogram, and Moving Averages on or off to suit their charting aesthetic.
● 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. Indicador
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Volume Pressure OscillatorThe Volume Pressure Oscillator (VPO) is a momentum-based indicator that measures the directional pressure of cumulative volume delta (CVD) combined with price efficiency. It oscillates between 0 and 100, with readings above 50 indicating net buying pressure and readings below 50 indicating net selling pressure.
The indicator is designed to identify the strength and sustainability of volume-driven trends while remaining responsive during consolidation periods.
How the Indicator Works
The VPO analyzes volume flow by examining price action at lower timeframes to build a Cumulative Volume Delta (CVD). For each chart bar, the indicator looks at intrabar price movements to classify volume as either buying volume or selling volume. These classifications are accumulated into a running total that tracks net directional volume.
The indicator then measures the momentum of this CVD over both short-term and longer-term periods, providing responsiveness to recent changes while maintaining awareness of the broader trend. These momentum readings are normalized using percentile ranking, which creates a stable 0-100 scale that works consistently across different instruments and market conditions.
A key feature is the extreme zone persistence mechanism. When the indicator enters extreme zones (above 80 or below 20), it maintains elevated readings as long as volume pressure continues in the same direction. This allows the VPO to stay in extreme zones during strong trends rather than quickly reverting to neutral, making it useful for identifying sustained volume pressure rather than just temporary spikes.
What Makes This Indicator Different
While many indicators measure volume or volume delta, the VPO specifically measures how aggressively CVD is currently changing and whether that pressure is being sustained. It's the difference between knowing "more volume has accumulated on the buy side" versus "buying pressure is intensifying right now and shows signs of continuation."
1. Focus on CVD Momentum, Not CVD Levels
Most CVD indicators display the cumulative volume delta as a line that trends up or down indefinitely. The VPO is fundamentally different - it measures the slope of CVD rather than the absolute level. This transforms CVD from an unbounded cumulative metric into a bounded 0-100 oscillator that shows the intensity and direction of current volume pressure, not just the historical accumulation.
2. Designed to Stay in Extremes During Trends
Unlike traditional oscillators that treat extreme readings (above 80 or below 20) as overbought/oversold reversal signals, the VPO is engineered to oscillate within extreme zones during strong trends. When sustained buying or selling pressure exists, the indicator remains elevated (e.g., 80-95 or 5-20) rather than quickly reverting to neutral. This makes it useful for trend continuation identification rather than exclusively for reversal trading.
3. Percentile-Based Normalization
The VPO uses percentile ranking over a lookback window, which provides consistent behavior across different instruments, timeframes, and volatility regimes without constant recalibration.
4. Dual-Timeframe Momentum Synthesis
The indicator simultaneously considers short-term CVD momentum (responsive to recent changes) and longer-term CVD momentum (tracking trend direction), weighted and combined with a slow-moving trend bias. This multi-timeframe approach helps it stay responsive in ranging markets while maintaining context during trends.
How to Use the Indicator
Understanding the Zones:
80-100 (Strong Buying Pressure): CVD momentum is strongly positive. In trending markets, the indicator oscillates within this zone rather than immediately reverting to neutral. This suggests sustained accumulation and trend continuation probability.
60-80 (Moderate Buying): Positive volume pressure but not extreme. Suitable for identifying pullback entry opportunities within uptrends.
40-60 (Neutral Zone): Volume pressure is balanced or unclear. No strong directional edge from volume. Often seen during consolidation or trend transitions.
20-40 (Moderate Selling): Negative volume pressure developing. May indicate distribution or downtrend continuation setups.
0-20 (Strong Selling Pressure): CVD momentum is strongly negative. During downtrends, sustained readings in this zone suggest continued distribution and downside follow-through probability.
Practical Applications:
Trend Confirmation: When price makes new highs/lows, check if VPO confirms with similarly elevated readings. Divergences (price making new highs while VPO fails to reach prior highs) may indicate weakening momentum.
Range Trading: During consolidation, the VPO typically oscillates between 30-70. Readings toward the low end of the range (30-40) may present accumulation opportunities, while readings at the high end (60-70) may indicate distribution zones.
Extreme Persistence: If VPO reaches 90+ or drops below 10, this indicates exceptional volume pressure. Rather than fading these extremes immediately, monitor whether the indicator stays elevated. Sustained extreme readings suggest strong trend continuation potential.
Context with Price Action: The VPO is most effective when combined with price action or other orderflow indicators. Use the indicator to gauge whether volume is confirming or contradicting.
What the Indicator Does NOT Do:
It does not provide specific entry or exit signals
It does not predict future price direction
It does not guarantee profitable trades
It should not be used as a standalone trading system
Settings Explanation
Momentum Period (Default: 14)
This parameter controls the lookback period for CVD rate-of-change calculations.
Lower values (5-10): Make the indicator more responsive to recent volume changes. Useful for shorter-term trading and more active oscillation. May produce more whipsaws in choppy markets.
Default value (14): Provides balanced responsiveness while filtering out most noise. Suitable for swing trading and daily timeframe analysis.
Higher values (20-50): Create smoother readings and focus on longer-term volume trends. Better for position trading and reducing false signals, but with slower reaction to genuine changes in volume pressure.
Important Notes:
This indicator requires intrabar data to function properly. On some instruments or timeframes where lower timeframe data is not available, the indicator may not display.
The indicator uses request.security_lower_tf() which has a limit of intrabars. On higher timeframes, this provides extensive history, but on very low timeframes (<1-minute charts), the indicator may only cover limited historical bars.
Volume data quality varies by exchange and instrument. The indicator's effectiveness depends on accurate volume reporting from the data feed.
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EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy Indicador
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Tick-Based Delta Volume BubblesTICK-BASED DELTA VOLUME BUBBLES
OVERVIEW
A real-time order flow indicator that displays volume delta at the tick level, helping traders identify buying and selling pressure as it develops during live market hours. Unlike traditional volume delta indicators that rely on bar close data, this indicator captures actual tick-by-tick volume changes and directional bias, providing granular insight into market dynamics.
HOW IT WORKS
The indicator monitors live tick data during real-time trading by tracking volume increases between consecutive price updates. Each time volume increments, the script calculates the volume delta, determines price direction, assigns directional bias to the volume, and accumulates net delta for each bar.
This methodology is identical to the tick detection mechanism used in professional cumulative volume delta tools, ensuring accuracy and reliability.
FEATURES
Real-Time Tick Detection
- Captures genuine tick-by-tick volume flow using varip persistence
- Not estimated from OHLC data
- Processes actual market ticks as they occur
Adaptive Bubble Sizing
- Bubbles scale based on delta strength relative to a customizable moving average (default 20 bars)
- Highlights significant order flow imbalances
- Five size levels from tiny to huge
Dual Display Modes
- Normal Mode: Sized bubbles with optional volume labels positioned at bar midpoint
- Minimal Mode: Clean dots above/below bars for unobtrusive delta visualization
Flow Classification
- Aggressive Buy (bright green): Strong positive delta with greater than 1.2x strength
- Aggressive Sell (bright red): Strong negative delta with greater than 1.2x strength
- Passive Buy (light green): Moderate positive delta
- Passive Sell (light red): Moderate negative delta
Intensity Mode (Optional)
- Gray: Low intensity (less than 0.5x average)
- Blue: Medium intensity (0.5-1.0x average)
- Orange: High intensity (1.0-2.0x average)
- Red: Extreme intensity (greater than 2.0x average)
Smart Filtering
- Percentile-based filters (customizable) ensure only significant delta events are displayed
- Reduces chart clutter while highlighting important order flow
- Separate thresholds for bubble display and numeric labels
Data Collection Status
- Optional progress box in top-right corner
- Shows real-time bar collection progress
- Displays percentage completion and bars remaining
- Automatically hides when sufficient data is collected
Hide Until Ready Option
- Suppresses bubble display until the averaging period is complete
- Prevents misleading signals from incomplete data
- Default requires 20 bars before displaying bubbles
SETTINGS
Delta Average Length (1-200, default 20)
- Lookback period for calculating delta strength baseline
- Higher values = longer-term delta comparison
- Lower values = more sensitive to recent changes
Hide Bubbles Until Enough Data
- Prevents display until averaging period completes
- Ensures reliable delta strength calculations
Show Data Collection Status Box
- Displays progress indicator during initialization
- Can be disabled if you understand the warmup period
Minimal Mode
- Switches to simple dot display above/below bars
- Green dots above bars = positive delta
- Red dots below bars = negative delta
- Maintains color intensity or flow type classification
Show Bubbles
- Master toggle for bubble display
Bubble Volume Percentile (0-100, default 60)
- Minimum percentile rank required to display bubble
- Higher values = fewer, more significant bubbles
- Lower values = more bubbles displayed
Show Numbers in Bubbles
- Toggle delta value labels
- Only appears in normal mode
- Disabled automatically in minimal mode
Label Volume Percentile (0-100, default 90)
- Higher threshold for displaying numeric labels
- Typically set higher than bubble percentile
- Reduces label clutter on chart
Intensity Mode
- Switch from flow-type coloring to magnitude-based coloring
- Useful for identifying volume spikes regardless of direction
IMPORTANT NOTES
Real-Time Only: This indicator processes live tick data and does not provide historical analysis. It begins collecting data when added to a live chart.
Volume Required: Symbol must have volume data available. Will not function on symbols without volume (most forex pairs from retail brokers).
Initialization Period: Requires the specified number of bars (default 20) to calculate accurate delta strength. Use the "Hide Until Ready" option to prevent premature signals.
Market Hours: Only collects data during live market hours. Does not backfill historical data.
CREDITS
Tick detection methodology inspired by the Kioseff Trading Tick CVD indicator. This implementation adapts the same core tick-level volume delta calculation for bubble-style visualization and per-bar delta analysis.
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Institutional Orderflow Pro — VWAP, Delta, and Liquidity
Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time.
Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting.
The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies.
The indicator combines multiple institutional-grade analytics into one framework:
RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation.
zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior.
CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow.
VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat.
PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones.
ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse.
Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT.
All metrics are displayed through a color-coded, non-repainting HUD:
🟢 = bullish / favorable conditions
🔴 = bearish / weak conditions
⚫ = neutral / flat
🟡 = absorption (potential trap zone)
🟠 = exhaustion (momentum fading)
| Metric | Signal | Meaning |
| ---------------------- | ------- | ---------------------------------------------- |
| **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone |
| **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression |
| **CVDΔ > 0** | 🟢 | Buyers dominate this bar |
| **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short |
| **Slope ok = YES** | 🟢 | Trending market |
| **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones |
| **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment |
| **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone |
How to Use
Confirm Volume Context → RVOL > 1.2
Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN.
Check Slope and VWAP Dir → Ensure trending context (Slope = YES).
Confirm CVD and zΔ → Flow should agree with price direction.
Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players.
Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels.
This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups.
Originality
This script was written from scratch in Pine v6.
It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.).
The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays.
The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots.
Notes & Disclaimers
This indicator does not repaint.
It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system.
Works best on liquid instruments (Futures, Indices, FX majors).
Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings.
Open-source, modifiable, and compatible with Pine v6.
Recommended Use
Apply it with clean charts and standard candles for the best clarity.
Use alongside a basic structure or volume profile to contextualize institutional bias zones.
Author: Dhawal Ranka
Category - Orderflow / VWAP / Institutional Analysis
Version: Pine Script™ v6
License: Open Source (Educational Use)
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Cumulative Volume Delta Z Score [BackQuant]Cumulative Volume Delta Z Score
The Cumulative Volume Delta Z Score indicator is a sophisticated tool that combines the cumulative volume delta (CVD) with Z-Score normalization to provide traders with a clearer view of market dynamics. By analyzing volume imbalances and standardizing them through a Z-Score, this tool helps identify significant price movements and market trends while filtering out noise.
Core Concept of Cumulative Volume Delta (CVD)
Cumulative Volume Delta (CVD) is a popular indicator that tracks the net difference between buying and selling volume over time. CVD helps traders understand whether buying or selling pressure is dominating the market. Positive CVD signals buying pressure, while negative CVD indicates selling pressure.
The addition of Z-Score normalization to CVD makes it easier to evaluate whether current volume imbalances are unusual compared to past behavior. Z-Score helps in detecting extreme conditions by showing how far the current CVD is from its historical mean in terms of standard deviations.
Key Features
Cumulative Volume Delta (CVD): Tracks the net buying vs. selling volume, allowing traders to gauge the overall market sentiment.
Z-Score Normalization: Converts CVD into a standardized value to highlight extreme movements in volume that are statistically significant.
Divergence Detection: The indicator can spot bullish and bearish divergences between price and CVD, which can signal potential trend reversals.
Pivot-Based Divergence: Identifies price and CVD pivots, highlighting divergence patterns that are crucial for predicting price changes.
Trend Analysis: Colors bars according to trend direction, providing a visual indication of bullish or bearish conditions based on Z-Score.
How It Works
Cumulative Volume Delta (CVD): The CVD is calculated by summing the difference between buying and selling volume for each bar. It represents the net buying or selling pressure, giving insights into market sentiment.
Z-Score Normalization: The Z-Score is applied to the CVD to normalize its values, making it easier to compare current conditions with historical averages. A Z-Score greater than 0 indicates a bullish market, while a Z-Score less than 0 signals a bearish market.
Divergence Detection: The indicator detects regular and hidden bullish and bearish divergences between price and CVD. These divergences often precede trend reversals, offering traders a potential entry point.
Pivot-Based Analysis: The indicator uses pivot highs and lows in both price and CVD to identify divergence patterns. A bullish divergence occurs when price makes a lower low, but CVD fails to follow, suggesting weakening selling pressure. Conversely, a bearish divergence happens when price makes a higher high, but CVD doesn't confirm the move, indicating potential selling pressure.
Trend Coloring: The bars are colored based on the trend direction. Green bars indicate an uptrend (CVD is positive), and red bars indicate a downtrend (CVD is negative). This provides an easy-to-read visualization of market conditions.
Standard Deviation Levels: The indicator plots ±1σ, ±2σ, and ±3σ levels to indicate the degree of deviation from the average CVD. These levels act as thresholds for identifying extreme buying or selling pressure.
Customization Options
Anchor Timeframe: The user can define an anchor timeframe to aggregate the CVD, which can be customized based on the trader’s needs (e.g., daily, weekly, custom lower timeframes).
Z-Score Period: The period for calculating the Z-Score can be adjusted, allowing traders to fine-tune the indicator's sensitivity.
Divergence Detection: The tool offers controls to enable or disable divergence detection, with the ability to adjust the lookback periods for pivot detection.
Trend Coloring and Visuals: Traders can choose whether to color bars based on trend direction, display standard deviation levels, or visualize the data as a histogram or line plot.
Display Options: The indicator also allows for various display options, including showing the Z-Score values and divergence signals, with customizable colors and line widths.
Alerts and Signals
The Cumulative Volume Delta Z Score comes with pre-configured alert conditions for:
Z-Score Crossovers: Alerts are triggered when the Z-Score crosses the 0 line, indicating a potential trend reversal.
Shifting Trend: Alerts for when the Z-Score shifts direction, signaling a change in market sentiment.
Divergence Detection: Alerts for both regular and hidden bullish and bearish divergences, offering potential reversal signals.
Extreme Imbalances: Alerts when the Z-Score reaches extreme positive or negative levels, indicating overbought or oversold market conditions.
Applications in Trading
Trend Identification: Use the Z-Score to confirm bullish or bearish trends based on cumulative volume data, filtering out noise and false signals.
Reversal Signals: Divergences between price and CVD can help identify potential trend reversals, making it a powerful tool for swing traders.
Volume-Based Confirmation: The Z-Score allows traders to confirm price movements with volume data, providing more reliable signals compared to price action alone.
Divergence Strategy: Use the divergence signals to identify potential points of entry, particularly when regular or hidden divergences appear.
Volatility and Market Sentiment: The Z-Score provides insights into market volatility by measuring the deviation of CVD from its historical mean, helping to predict price movement strength.
The Cumulative Volume Delta Z Score is a powerful tool that combines volume analysis with statistical normalization. By focusing on volume imbalances and applying Z-Score normalization, this indicator provides clear, reliable signals for trend identification and potential reversals. It is especially useful for filtering out market noise and ensuring that trades are based on significant price movements driven by substantial volume changes.
This indicator is perfect for traders looking to add volume-based analysis to their strategy, offering a more robust and accurate way to gauge market sentiment and trend strength.
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