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Volumedelta

VWAP Volume Analyzer (Wyckoff) | Capitan-TradingMost traders focus only on price. But price shows what happened , not necessarily why it happened . Volume reveals participation. The Anchored VWAP Volume Analyzer (Wyckoff Concept) is designed to help traders visualize market participation and better contextualize price movements using anchored volume analysis and VWAP-based structure. Inspired by Wyckoff principles , this indicator focuses on the relationship between price, effort, and participation , helping traders assess whether a move is supported by real market participation or simply driven by short-term volatility. Instead of relying on traditional volume bars that only color based on the candle close, this tool analyzes the internal structure of each candle to provide a more realistic interpretation of buying and selling pressure. The objective is simple: to offer a clearer and more informative way to read market behavior. --- Key Features Anchored VWAP with Dynamic Value Ribbon At the core of the indicator is a user-anchored VWAP . Around it, the script plots a dynamic ribbon based on standard deviation , representing the value area of the selected range. The ribbon adapts to price positioning relative to VWAP, helping visualize directional bias and potential reaction zones . --- Smart Volume Parsing The script separates dominant buying or selling pressure from minor internal activity using a True Range based proxy calculation . This provides a clearer view of intrabar participation compared to traditional volume indicators. --- Reactivity Engine Beyond historical anchored volume, the indicator measures recent participation momentum using a configurable lookback period . This helps distinguish fresh market activity from older historical volume. --- Quantitative Candle Colorization Chart candles can optionally synchronize with the underlying volume structure, highlighting phases of: • Accumulation • Distribution • Neutral market conditions --- On-Chart Dashboard A compact HUD dashboard displays key metrics directly on the chart: • Net Volume • Smart Net Volume • Buy vs Sell pressure • Distance from the anchored VWAP This allows traders to quickly evaluate market participation without leaving the chart. --- How to Use It Simply anchor the indicator to a meaningful market point, such as: • a significant swing high or swing low • the start of a trading session • the beginning of a structural move • the start of a range or consolidation phase (Wyckoff Phase A) From there, observe how price behaves around the VWAP and how participation evolves within the value ribbon. --- This is the LITE version of the Capitan Trading quantitative suite. Designed to remain clean, fast and practical while offering a professional perspective on volume-based market context and Wyckoff-style analysis . Disclaimer: This indicator is a technical analysis tool and does not constitute financial advice. ________________________________________________________________________ # VERSIONE ITALIANA Descrizione Molti trader osservano soltanto il prezzo. Ma il prezzo mostra cosa è successo , non sempre perché è successo . I volumi rivelano la partecipazione del mercato. L’ Anchored VWAP Volume Analyzer (Wyckoff Concept) è progettato per aiutare i trader a visualizzare la partecipazione del mercato e a contestualizzare meglio i movimenti del prezzo attraverso un’analisi volumetrica ancorata basata sul VWAP. Ispirato ai principi di Wyckoff , questo indicatore si concentra sulla relazione tra prezzo, sforzo e partecipazione , aiutando a capire se un movimento è sostenuto da una reale attività di mercato oppure se è semplicemente guidato da volatilità di breve periodo. Invece di affidarsi alle classiche barre di volume colorate solo in base alla chiusura della candela, questo strumento analizza la struttura interna di ogni candela per fornire una lettura più realistica della pressione di acquisto e vendita. L’obiettivo è semplice: offrire un modo più chiaro e informativo per leggere il comportamento del mercato. --- Caratteristiche principali VWAP ancorato con Value Ribbon dinamico Il cuore dell’indicatore è un VWAP ancorabile dall’utente . Attorno ad esso viene tracciato un ribbon dinamico basato sulla deviazione standard che rappresenta la value area del range selezionato. Il ribbon si adatta alla posizione del prezzo rispetto al VWAP, aiutando a visualizzare bias direzionale e possibili zone di reazione . --- Analisi intelligente dei volumi Lo script separa la pressione dominante di acquisto o vendita dall’attività interna minore utilizzando un proxy basato sul True Range . Questo consente una lettura più chiara della partecipazione intrabar rispetto ai classici indicatori di volume. --- Motore di reattività Oltre al volume storico ancorato, l’indicatore misura anche il momentum recente della partecipazione utilizzando un periodo di lookback configurabile . Questo aiuta a distinguere l’ attività più recente dal volume storico passato. --- Colorazione quantitativa delle candele Le candele del grafico possono essere sincronizzate con la struttura volumetrica sottostante, evidenziando fasi di: • Accumulo • Distribuzione • Neutralità --- Dashboard sul grafico Una dashboard compatta mostra direttamente sul grafico alcune metriche chiave: • Volume netto • Smart Net Volume • Pressione Buy vs Sell • Distanza dal VWAP ancorato Questo permette di valutare rapidamente la partecipazione del mercato senza lasciare il grafico. --- Come utilizzarlo È sufficiente ancorare l’indicatore a un punto rilevante del mercato, ad esempio: • un massimo o minimo significativo • l’ inizio di una sessione di trading • l’ inizio di un movimento strutturale • l’ inizio di una zona di range o consolidamento (Fase A, Wyckoff) Da quel momento è possibile osservare come il prezzo reagisce attorno al VWAP e come evolve la partecipazione all’interno del ribbon. --- Questa è la versione LITE della suite quantitativa Capitan Trading. Pulita, veloce ed essenziale per offrire una lettura professionale del contesto di mercato attraverso analisi dei volumi e logica Wyckoff . Disclaimer: Questo indicatore è uno strumento di analisi tecnica e non costituisce consiglio finanziario.
Индикатор Pine Script®
от capitan-trading
2
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.
Индикатор Pine Script®
от Pineify
Liquidation Cascade Detector - Basic 2.0The Liquidation Cascade Detector identifies high-probability reversal entries by detecting the microstructure footprint of forced liquidations in futures, equities, crypto, and forex markets. When leveraged positions are stopped out in clusters, they create a recognizable sequence of price action, volume, and volatility signatures. This indicator scores the confluence of those signatures in real time — for both long and short setups simultaneously — and fires a signal only when the combined evidence exceeds a threshold. This runs a subset of the analysis modules found in the full Liquidation Cascade system, fires up to five signals per regular trading session, and displays an aggregate confluence score. No external libraries, no dependencies — a single self-contained script. Designed primarily for micro futures (MNQ, MGC, MES) on intraday timeframes (1m–15m), though the scoring system works on any liquid instrument with reliable volume data. Works on all TradingView plans. ## How It Works The indicator evaluates multiple independent analysis modules, computes a directional confluence score for each side, and gates output through cooldown and session limits before firing. **Volume Analysis** Detects the participation surges that occur when clustered stop-outs feed into the order book simultaneously. The module classifies current volume conditions relative to recent history and scores the intensity of the spike. This contributes context to both directions, since liquidation events produce abnormal volume regardless of which side is being forced out. **Keltner Channel Exhaustion** Measures how far price has been pushed beyond dynamically calculated volatility bands. When price overshoots to statistical extremes — the kind of extension consistent with forced-exit overshoot — the module scores the degree of exhaustion. The scoring is continuous, not binary: marginal breaches score low while significant overextension receives the full module weight. Direction-specific scoring feeds into the corresponding signal. **Price Action Structure** Detects candle patterns characteristic of forced liquidation events — bars where price was shoved through a level by forced exits and then reclaimed by organic flow. Multiple pattern types are evaluated with different confidence levels, and the module scores them accordingly. The primary pattern carries more weight than secondary confirmations. **Higher Timeframe Trend** Reads trend direction from a configurable higher timeframe. Signals aligned with the prevailing trend receive a score bonus. Counter-trend signals are not blocked — they simply need stronger confluence from the other modules to reach the threshold. Counter-trend signals that do fire are visually dimmed so you can distinguish them at a glance. **Scoring** Each module contributes to a weighted confluence score computed independently for long and short directions on every bar. The scores combine to a 0–100 scale. A minimum-evidence gate ensures isolated readings from a single module cannot fire a signal on their own. If both directions exceed the threshold simultaneously, only the stronger side fires. **Signal Gating** A cooldown prevents signal clustering: after a signal fires, subsequent signals in the same direction are suppressed for a configurable number of bars. A per-session cap limits total signals during regular trading hours. When a signal is detected but suppressed by the cap, a small marker appears at the bottom of the chart so you know the system saw something. Signals only fire during NY cash session / RTH (9:30 AM – 4:00 PM ET). ## Display Signal markers plot on the chart as directional triangles. Color intensity indicates trend alignment: bright signals are with-trend, dimmed signals are counter-trend. A small dot marker appears at the chart bottom when a qualifying signal was suppressed by the session cap. Keltner channel bands are plotted as an overlay (toggle in settings). A score gauge in the bottom-right corner shows the leading direction, aggregate score, threshold, session signal count, and current session state. An info table (position configurable) provides a compact dashboard with scores for both directions, HTF trend, volume state, Keltner status, and signal budget. Session awareness is built into the display: the RTH open price plots as a dashed horizontal line, and the opening range (9:30–10:00 ET) is highlighted with a subtle background shade. ## Settings All parameters are adjustable: - **Volume Lookback / Spike Multiplier** — Controls how volume conditions are classified relative to recent history. - **Keltner Length / ATR Multiple / ATR Length** — Controls channel width and exhaustion sensitivity. - **Liquidation Wick Ratio / Max Body Ratio** — Controls how strict the liquidation bar pattern detection is. Higher wick ratio and lower body ratio = fewer but higher-quality detections. - **Trend Timeframe / Trend EMA Length** — Controls the higher timeframe trend reference. - **Signal Threshold** — Minimum confluence score to fire. Lower = more signals with lower average quality. - **Cooldown Bars** — Minimum spacing between signals. - **Signals per Session** — Maximum signals during RTH. - **Display toggles** — Individually toggle Keltner bands, session markers, info table, and score gauge. ## Usage Notes This is a scoring and alerting tool, not a strategy. It identifies conditions consistent with forced liquidation events and scores setup quality. It does not determine position size, stop placement, or profit targets. Not financial advice. Signals are most reliable on liquid futures during active trading hours. The opening range and power hour tend to produce the highest-quality signals. Lunch hours (12:00–1:30 ET) typically produce thinner conditions. The indicator suppresses overnight signals by only firing during NYSE regular trading hours (9:30-4:00 ET). Uses one `request.security()` call for the higher timeframe trend. All data uses confirmed bars with no lookahead. Open source under the Mozilla Public License 2.0.
Индикатор Pine Script®
от Cascade_Indicators
Delta Flow Volume Profile [UAlgo]Delta Flow Volume Profile is a price based profile indicator that builds a rolling volume distribution and separates that distribution into bullish and bearish participation at each price zone. Instead of showing only how much total volume traded in an area, the script splits each profile row into buyer dominated and seller dominated segments, then renders those segments side by side on the chart. This creates a more informative profile that helps reveal not only where activity concentrated, but also which side was dominant inside each level. The indicator runs directly on price ( overlay=true ) and analyzes a user defined lookback window. It divides the recent price range into fixed bins, distributes each candle’s volume across the bins it overlaps, and classifies that allocated volume as bullish or bearish based on candle direction. The final result is drawn to the right of the chart as a horizontal stacked profile where: The left segment of each row represents bullish volume The right segment represents bearish volume The widest total row identifies the Point of Control (POC) Each significant row can display buyer and seller percentage labels This makes the script useful for traders who want a profile style map of participation with directional context, especially when identifying areas where buyers were dominant, sellers were dominant, or both sides were highly active. Important note: The bullish and bearish split in this script is an approximation based on candle direction ( close >= open versus close < open ). It is not true bid ask or tick level order flow delta. 🔹 Features 🔸 1) Delta Style Volume Profile by Price Level The core idea of the script is to turn a standard horizontal volume profile into a directional participation profile. Each row tracks both bullish and bearish volume, so the user can see whether a price zone was primarily buyer controlled, seller controlled, or relatively balanced. 🔸 2) Rolling Lookback Profile The profile is built from the most recent user selected number of bars. This means the profile continuously adapts to current market structure instead of being locked to a session boundary. This makes it useful for intraday structure analysis, local range mapping, and recent participation studies. 🔸 3) Fixed Bin Price Segmentation The script divides the recent highest to lowest range into a configurable number of bins. Lower bin counts create thicker and smoother rows. Higher bin counts create more detailed and granular distribution. This lets the user control the balance between clarity and resolution. 🔸 4) Proportional Volume Allocation Across Overlapping Bins When a candle spans multiple bins, the script does not place the full candle volume into a single row. Instead, it allocates volume proportionally according to the overlap between the candle range and each bin. This produces a more realistic distribution than a single point assignment, especially for larger candles. 🔸 5) Bullish and Bearish Segment Rendering Each row is drawn as a stacked two part structure: The bullish segment starts from the left base of the profile The bearish segment continues immediately after the bullish segment This gives an intuitive visual read of which side dominated and how much each side contributed inside the same price zone. 🔸 6) Point of Control Highlighting The script automatically finds the row with the highest total volume and marks it as the Point of Control. The POC row is highlighted with a full width background band, which makes the most active zone immediately obvious. This is useful for identifying the strongest recent area of price acceptance. 🔸 7) Percentage Labels for Strong Rows For profile rows with meaningful participation, the script prints a right side label showing: Bullish percentage Bearish percentage For the POC row, the label is prefixed with POC . This gives a quick summary of directional balance at the most important nodes. 🔸 8) Dynamic Label Coloring by Dominance The percentage labels change color based on row context: POC labels use the dedicated POC color Rows dominated by bullish volume use the bullish color Rows dominated by bearish volume use the bearish color This improves readability and speeds up visual interpretation. 🔸 9) Adjustable Profile Width and Offset The profile is drawn to the right of the current bar with configurable: Profile width as a percentage of lookback Horizontal offset in bars This makes it easy to place the profile in a clean position without obstructing live price action. 🔸 10) Smooth Clean Presentation The script uses borderless boxes and compact right side labels, which gives the profile a clean and uncluttered look. This makes it suitable for traders who want visual structure without excessive chart noise. 🔸 11) Built for Practical Delta Style Context While it does not use true order flow data, the indicator still provides a highly usable approximation of directional participation. This can help identify: Buyer heavy zones Seller heavy zones Balanced zones High activity acceptance areas 🔹 Calculations 1) Price Range Detection The script first determines the highest high and lowest low over the selected lookback: float hh_global = ta.highest(high, lookback) float ll_global = ta.lowest(low, lookback) This defines the full vertical range of the profile. 2) Bin Construction That range is divided into the selected number of bins: float binSize = (hh - ll) / numBins Each bin stores: Top price Bottom price Bullish allocated volume Bearish allocated volume The bins are built from top to bottom so the profile rows map naturally across the recent range. 3) Candle by Candle Volume Processing For every bar in the lookback window, the script reads: High Low Open Close Volume Then it checks each bin to see whether the candle overlaps that bin. 4) Proportional Overlap Allocation For each overlapping bin, the script calculates: float overlapTop = math.min(bHigh, b.top) float overlapBottom = math.max(bLow, b.bottom) If there is overlap, it allocates volume proportionally: allocatedVol := bVol * ((overlapTop - overlapBottom) / rangeSize) Interpretation: If a candle covers multiple price rows, each row receives only the fraction of volume corresponding to its share of the candle’s total range. This is a more realistic approximation than assigning all volume to one bin. 5) Zero Range Candle Handling If a candle has zero range, the script assigns the full volume to the bin that contains the candle price: if rangeSize > 0 ... else if bHigh <= b.top and (bHigh > b.bottom or (j == numBins - 1 and bHigh >= b.bottom)) allocatedVol := bVol This prevents divide by zero issues and still keeps the data usable. 6) Bullish vs Bearish Classification Once the script calculates allocated volume for a bin, it classifies that volume by candle direction: if bClose >= bOpen b.bullVol += allocatedVol else b.bearVol += allocatedVol Interpretation: Bullish volume means the candle closed at or above its open. Bearish volume means the candle closed below its open. Important note: This is a directional approximation. It is not true tape based aggressive buy or aggressive sell volume. 7) Total Volume, Delta, and Percent Methods Each bin includes helper methods: totalVol() returns bullVol + bearVol deltaVol() returns bullVol - bearVol bullPct() returns bullish percentage of total bearPct() returns bearish percentage of total The script actively uses total volume and percentages in rendering. The deltaVol() method is defined for convenience, but this version does not directly plot or label the raw delta value. 8) Point of Control Detection After all bins are populated, the script finds the row with the largest total volume: if bTotVol > maxVol maxVol := bTotVol pocIdx := i This row becomes the Point of Control and acts as the strongest recent participation zone. 9) Width Normalization The total maximum row volume is used as the width normalization anchor. For each row: float bullRatio = b.bullVol / maxVol float bearRatio = b.bearVol / maxVol Then the segment widths are scaled into bars: int bullWidthBars = math.round(bullRatio * maxBoxWidthBars) int bearWidthBars = math.round(bearRatio * maxBoxWidthBars) Because both bullish and bearish widths are normalized against the same maxVol , their combined width reflects the row’s total participation relative to the profile maximum. 10) Minimum Visible Width Safeguard If a row has non zero bullish or bearish volume but the calculated width rounds to zero, the script forces a minimum width of one bar: if b.bullVol > 0 and bullWidthBars == 0 bullWidthBars := 1 This ensures small but meaningful contributions remain visible. 11) Right Side Time Based Layout The profile is rendered using xloc.bar_time , so all horizontal distances are based on time, not bar index. The script calculates: A base left time for the profile A maximum right time A per bar time width Key logic: int leftBaseTime = lastBarTime + (profileOffset * barTimeDiff) int maxRightTime = leftBaseTime + (maxBoxWidthBars * barTimeDiff) This makes the profile appear a fixed number of bar widths to the right of the latest candle. 12) POC Background Highlight Before drawing the bullish and bearish segments for the POC row, the script paints a full width background band: box.new(left=leftBaseTime, top=drawTop, right=maxRightTime, bottom=drawBottom, ...) This gives the POC a distinct highlighted backdrop behind the actual stacked volume bars. 13) Visual Gap Inside Each Bin The script trims the top and bottom of each drawn row slightly: float boxGap = (b.top - b.bottom) * 0.1 float drawTop = b.top - boxGap float drawBottom = b.bottom + boxGap This creates small vertical spacing between rows, which improves readability and avoids a fully merged block appearance. 14) Percentage Label Threshold Labels are not printed for every row. They appear only when the row’s total volume is greater than 15 percent of the maximum row volume: if bTotVol > (maxVol * 0.15) This reduces clutter and focuses attention on more relevant nodes. 15) Label Text Construction For significant rows, the script computes: Bullish percentage Bearish percentage Then formats them as: string labelText = bullStr + " | " + bearStr For the POC row: labelText := "POC: " + labelText
Индикатор Pine Script®
от UAlgo
SRL Liquidity State EngineBeyond Linear Volume: Unlocking Market Microstructure with the Square Root Law Why 90% of traders misunderstand the relationship between Volume, Volatility, and Price—and how the "SRL Liquidity State Engine" fixes it. 1. Introduction: The Linear Fallacy Every trader learns early on: "Volume precedes Price." We look at OBV, we look at volume bars, and we look at Moving Averages. But there is a fundamental flaw in how most indicators analyze volume: They assume the relationship is linear. They assume that 1,000 contracts bought in a quiet market is the same as 1,000 contracts bought during a news event. But intuitively, we know this is false. If price moves 1% on low volume, it suggests a vacuum (low liquidity). If price moves 1% on massive volume, it suggests a war (high liquidity). Standard indicators miss this context. They look at the fuel (Volume) without looking at the road conditions (Volatility). This script, the SRL Liquidity State Engine, utilizes the Square Root Law (SRL) of market impact—specifically derived from Kyle’s (1985) market microstructure theories—to normalize volume against volatility. It answers the question: "What is the true intent of the market once we strip away the noise of volatility?" 2. The Theory: What is the Square Root Law? In institutional trading and market microstructure theory, it is widely accepted that price impact is not linear; it is geometric. The Formula: The script is built on the inversion of Kyle’s Lambda. Roughly speaking: $$ \Delta P \approx k \cdot \sigma \cdot \sqrt{\frac{Q}{V}} $$ By inverting this, we can solve for Q Q (The True Intent or "Informed Order Flow"): $$ Q = V \cdot \left( \frac{\Delta P}{\sigma \cdot k} \right)^2 $$ Where: V: Observed Volume. ΔP: Price Change from a pivot. σ (Sigma): Volatility (using the Parkinson High-Low estimator). k: An impact constant (liquidity scalar). In simple English: Imagine two cars. Car A travels 100 miles using 5 gallons of gas on a smooth highway. Car B travels 100 miles using 5 gallons of gas through a muddy swamp. Car B worked much harder. The Square Root Law calculates this "work." It tells us that if volatility (the swamp) is high, we expect price to move more for the same volume. If price moves significantly despite high volatility (or lacks movement despite high volume), the SRL reveals the True Dominance (Q). 3. The Innovation: Under the Hood of the Engine This script is not just a moving average crossover. It implements three advanced quantitative concepts: A. Parkinson Volatility Estimator (1980) Most volatility indicators use "Close-to-Close" data. This ignores the intraday fight between Bulls and Bears. This script uses the Parkinson Estimator, which utilizes the High and Low of the range. This provides a much more accurate "Sigma" (σ) for the SRL calculation, ensuring the script adapts instantly to expanding ranges. B. Bulk Volume Classification (BVC) Standard indicators treat a "green candle" as 100% buy volume. This is false. A doji with massive volume has both buying and selling. This script uses BVC (Easton, López de Prado, O'Hara 2012), which decomposes volume based on where the close is relative to the open and the intraday standard deviation. This gives us a granular look at Buy vs. Sell pressure. C. Dual Anchor Analysis The script doesn't just look at the current bar. It anchors to the most recent Pivot High and Pivot Low. Bull Flow: Analyzes the buying pressure pushing up from the recent Low. Bear Flow: Analyzes the selling pressure pushing down from the recent High. By comparing the calculated Q (Intent) of these two flows, we get a Dominance Ratio. 4. Wyckoff State Detection Mathematics is useless without context. The script translates these complex SRL calculations into the four classic Wyckoff Market States: ACCUMULATION: Price is in the lower zone, but Bullish Q (Intent) is secretly rising. The "Smart Money" is buying the dip. MARKUP: Price is rising, confirmed by Bullish Dominance. The trend is healthy. DISTRIBUTION: Price is in the upper zone, but Bearish Q is secretly rising. "Smart Money" is selling into strength. MARKDOWN: Price is falling, confirmed by Bearish Dominance. The trend is broken. 5. How to Use the Dashboard The script projects a comprehensive data panel on your chart. Here is how to read it: The Composite Score (Top Header) A single number from -100 to +100. > +60 (Green): Strong Buy / Markup Phase. < -60 (Red): Strong Sell / Markdown Phase. Yellow/Gray: Transition or Contested liquidity. The Timeframes (Short / Medium / Long) The engine analyzes three fractals simultaneously. Alignment: When Short, Medium, and Long all show "BULL DOMINANT," the probability of a sustained trend is highest. Divergence: If the Long term is Bullish, but the Short term flips to Bearish, the script identifies a potential Reversal Forming. SRL vs. Sensitivity The dashboard compares the actual price move (Sensitivity) vs. the calculated intent (SRL). If Price is moving UP, but SRL says "Bearish," this is an Effort vs. Result anomaly—a classic signal that the move is a trap. 6. Practical Trading Strategies Strategy A: The Trend Continuation (The "Markup" Trade) Look for the Composite Score to cross above +30. Ensure the Medium and Long panels show "BULL DOMINANT." Wait for the State Analysis to confirm "MARKUP." Stop Loss: Below the recent Pivot Low (displayed on the panel). Strategy B: The Reversal (The "Accumulation" Trade) Price is making lower lows (Bearish Trend). Watch the Short Period Panel. Look for "BULL Q" to spike while price remains flat or drops slightly. The Dashboard will signal "ACCUMULATION" or "BULLISH DIVERGENCE." Enter when the Dominance Momentum turns positive. 7. Limitations & Disclaimer Ranging Markets: Like all volatility-based tools, in extremely tight, low-volume chop, the denominator (volatility) becomes very small, which can exaggerate the Q values. The "Adaptive K" setting helps mitigate this, but caution is advised in flat markets. Lag: While the Parkinson volatility is reactive, the State Analysis applies smoothing to prevent false signals. This means the "State" label may appear 1-3 bars after the absolute bottom/top. 8. Conclusion The markets are a mechanism for price discovery, fueled by volume and restricted by volatility. By applying the Square Root Law, we stop guessing which volume spike matters and start measuring the mathematical energy behind the move. The SRL Liquidity State Engine is designed to give you the institutional "X-Ray" view of this battle, blending rigorous microstructure math with practical Wyckoffian logic. Settings: Impact Constant (k): Adjusts the sensitivity. Higher k = More conservative. Adaptive k: Check this to let the script auto-calibrate based on recent liquidity conditions (Recommended for Crypto). Show Diagnostics: Enable this if you want to see the raw Sigma and Impact Ratios for manual calculation. Assets: Works best on assets with genuine volume data (Stocks, Futures, High-Cap Crypto). For Forex, it relies on Tick Volume, which is a proxy but still effective during active sessions. Risk Disclaimer DISCLAIMER: For Educational and Informational Purposes Only. The content of this publication, including the source code, indicators, and commentary, is provided for educational and research purposes only. It does not constitute financial, investment, or trading advice. No Investment Advice: The SRL Liquidity State Engine is a theoretical model based on market microstructure mathematics (Kyle, 1985; Parkinson, 1980). It is designed to visualize data, not to generate buy or sell signals. High Risk Warning: Trading in financial markets (Cryptocurrency, Forex, Stocks, Futures) involves a high degree of risk and may not be suitable for all investors. You could lose some or all of your initial investment. Past Performance: Historical results, back-testing, or case studies shown in this publication are not indicative of future performance. Limitation of Liability: The author uses this software at their own risk. The author shall not be held liable for any direct, indirect, incidental, or consequential damages resulting from the use or inability to use this script or the data it provides. By using this script, you acknowledge that you are solely responsible for your own trading decisions and have conducted your own due diligence.
Индикатор Pine Script®
от jaydesaigu
2
BK AK-Shock & Awe🏴‍☠️💣 BK AK–Shock and Awe 🏴‍☠️💣 All glory to G-d — the true source of wisdom, restraint, and right timing. Respect to my mentor AK — discipline, patience, clean execution. Every indicator I publish carries that standard. Shock and Awe is not a signal generator. It’s an order-flow pressure tool: it turns CVD into a battlefield map so you can see who’s pushing, who’s trapped, and where the push is lying (divergence + confluence + session anchors + profile). You don’t “predict” with this — you confirm, then execute. 🧠 What it does (big picture) Shock and Awe builds a CVD command center with one job: clarity under pressure. 1) CVD Core (the heartbeat) Computes a CVD proxy using chart volume: up-bar volume − down-bar volume, accumulated. Optional scaling (None / K / M) so the pane stays readable across instruments. Multiple display modes: Line / Candles / Heikin Ashi Candles / Line + Heikin Ashi. 2) Trend + Structure on CVD (the rails) CVD moving average (selectable type/length). Optional extra MAs (MA2/MA3/MA4) to show “stacking” and structural alignment. Optional MA5 “advanced” modes: anchored session CVD, anchored weekly CVD, volume-weighted CVD, price-volume CVD variant (scaled). 3) AK-9 Bands + Regime Coloring (stretch vs fair) Smoothed CVD baseline with a standard-deviation envelope (AK-9 style bands). Classifies state: above upper / inside / below lower. Optional gradient engine paints the CVD by normalized slope (5-state regime), so you can see when pressure is accelerating vs fading. 4) Divergence Warfare (trap detection) Regular divergence: price makes LL/HH while CVD makes HL/LH (warning of exhaustion/distribution). Hidden divergence: continuation-type behavior (trend pullback absorption). Pivot-confirmed logic (signals print after confirmation, not mid-formation). Optional dynamic lookbacks that adapt by timeframe to reduce spam on fast charts. 🔥 Confluence System (prove it or ignore it) Divergence alone is a rumor. Shock and Awe demands witnesses. Confluence checks using: OBV divergence behavior MACD histogram divergence behavior Minimum indicator count required (1–3). Optional rule: only show divergences that meet confluence. Optional confluence badge on labels so the chart stays readable. 🔗 Signal Consolidation (zones, not confetti) Markets don’t turn once — they hammer the same level. Merges nearby signals by level + time tolerance into consolidated zones. Shows consolidation count and stronger “zone” badges when repeats stack up. Built to reduce label spam while emphasizing the real battlefield levels. 📊 CVD Volume Profile (where the fight actually happened) Not a price profile — a CVD participation profile. Bins historical CVD into a profile weighted by participation. Computes: POC (highest participation node) Value Area (~70%) Purpose: identify magnet zones, acceptance, and where “business was done.” Optional POC proximity logic can feed score/context. 🧱 Session Anchors (daily/weekly rails) Shock and Awe uses session anchors like lines in the sand: Daily and weekly CVD anchors. Optional extended-right anchor lines (remain active forward). Quick bias read: Above daily/weekly = buyers controlling tape Below = sellers controlling tape ⚠️ Background Flash (shock-event detector) When CVD is stretched and structure says “this is serious,” it lights the room. Dynamic intensity based on how far CVD is outside AK-9 bands. Optional “major turning points only” mode with velocity filter + cooldown. Designed to highlight critical moments, not entertain you. 🤖 Smart Score + Strategic Info Box (battle briefing) A weighted “readout” built from the indicator’s own evidence: Trend/stack state Regular/hidden divergences OBV/ADX alignment Session position Momentum (ROC) Band position ATR and volume regime Optional POC proximity Outputs: a compact status strip for quick posture a detailed tooltip explaining what changed, why it matters, and what to watch This is the dashboard you check before you touch the trigger. 🧭 How to use it (execution doctrine) Start with anchors Daily/weekly rails tell you who owns the day. Don’t argue with the map. Treat AK-9 bands as a stretch ruler Outside bands = exaggeration and reversal risk. Inside bands = rotation risk unless structure confirms. Divergence is a warning — confluence is permission If CVD screams but OBV/MACD don’t testify, stand down. Trade zones, not single prints Consolidation counts mark where the market keeps returning to settle a score. Let price confirm Shock and Awe identifies pressure and deception — price still has to prove acceptance/rejection at the rails. 🧾 Non-repainting / real-time note Divergence signals are based on pivot confirmation (right lookback), meaning labels only appear after the pivot is confirmed. Once printed, they do not “move around.” Like any indicator, values can update on the currently forming candle until the bar closes. 📌 Best use cases Intraday scalping/day trading: use dynamic divergence settings + anchors + consolidation; demand confluence in chop. Swing trading: reduce signal count by increasing confluence requirements; rely more on weekly rails and regime state. Works best on markets with meaningful volume. If volume is unreliable/synthetic, treat order-flow conclusions as lower confidence. 🧱 Non-negotiable rule This tool doesn’t make you right. It makes you harder to fool. Respect to AK — discipline, patience, clean execution. All glory to G-d — the source of wisdom and endurance. 🏴‍☠️💣 BK AK–Shock and Awe 🏴‍☠️💣
Индикатор Pine Script®
от Ki11a_B
Aggressive Order FlowThis is a candle coloring indicator that combines aggregated Open Interest (OI) across multiple perpetual futures feeds with per-candle Volume Delta to identify whether price movement is backed by real orderflow conviction. How it works On each candle, the indicator checks two conditions: OI direction — aggregated OI across up to 5 user-defined perpetual futures feeds is summed. If the combined OI grew by more than the defined threshold, OI is considered increasing. Delta direction — lower timeframe volume is broken down into buying and selling pressure per bar. If net delta is positive, buy pressure increased 🟢 Green — OI increasing + positive delta. New money entering the market on the buy side. Bullish conviction. 🔴 Red — OI increasing + negative delta. New money entering the market on the sell side. Bearish conviction. ⬜ Grey — OI flat or decreasing. Movement is likely driven by existing positions being closed rather than new commitment. Low conviction. Settings Up to 5 perpetual futures tickers for OI aggregation, set them to spot to disable. OI change threshold (%) to filter out noise, higher % means more OI added. Stat Box A table displayed in the top right corner shows the aggregated OI across chosen feeds now vs N candles ago, with the absolute and percentage change over that window. Only active ticker slots are included in the calculation. Notes The stat box is not necessary, you can disable it. If you want to disable a ticker, set it to spot.
Индикатор Pine Script®
от btcmaxlev
Volume Flow Analysis [UAlgo]Volume Flow Analysis is a market profile style volume study that builds a session anchored volume distribution, extracts key reference levels from the previous profile, and generates institutional style context signals based on Auction Market Theory concepts. The script combines several workflows in one tool: previous session volume profile levels (POC, VAH, VAL), liquidity void detection through LVN valleys, acceptance versus rejection logic around value, and Initial Balance with open type classification. The indicator runs on price ( overlay=true ) and is designed for intraday or swing traders who want a structured read of where value formed in the prior profile and how the current session is interacting with it. Instead of only plotting static lines, the script actively interprets behavior when price moves outside the previous value area. It checks whether the move is rejected quickly (failed auction) or sustained with time and volume (acceptance), which helps distinguish responsive activity from initiative activity. Another major component is the profile shape and liquidity void framework. The script identifies previous profile shape as P, b, or D based on POC location within the profile range, and it scans for LVN valleys that can act as low participation zones where price may travel quickly. This gives the user both structural context and event based signals from the same indicator. The result is a comprehensive volume flow dashboard that merges profile levels, session behavior, and AMT inspired signal logic into a single chart layer. 🔹 Features 🔸 1) Anchored Session Volume Profile (Daily, Weekly, Monthly or Custom Anchor) The script builds a volume profile for each anchor period selected by the user through the Profile Period (Anchor) input. Common choices include Daily, Weekly, and Monthly anchors. When a new anchor session begins, the current session profile is finalized and promoted to the previous profile, then a new profile begins. This allows the indicator to continuously reference the fully calculated previous profile while the current session is developing. 🔸 2) Price Range Binning with User Defined Resolution Each session profile is divided into a configurable number of rows (bins). The script maps price activity into these bins and distributes volume proportionally based on the overlap between each candle range and each volume bin. This creates a more realistic histogram than assigning all candle volume to a single price level, especially for wide range candles. 🔸 3) Previous Profile Core Levels (POC, VAH, VAL) Once a session completes, the script calculates and stores the key profile levels: POC (Point of Control), the price bin with the highest volume VAH (Value Area High) VAL (Value Area Low) Value Area is computed by expanding outward from the POC until the chosen percentage of total profile volume is covered. These levels are then plotted on the chart as dynamic reference lines for the next session. 🔸 4) Acceptance vs Rejection Logic Around Previous Value Area The indicator monitors current session behavior relative to the previous VAH and VAL and classifies behavior as either rejection (failed auction) or acceptance (initiative drive). Failed Auction (Rejection): Price trades outside the previous value area but returns back inside before meeting acceptance criteria. This is treated as a failed attempt to establish new value. Acceptance (Initiative Drive): Price stays outside the previous value area for a user defined number of bars and accumulates enough volume relative to average volume. This suggests successful acceptance of higher or lower value. This framework is useful for separating temporary probes from meaningful value migration. 🔸 5) Institutional Style Signal Labels The script can display signal labels for: Failed Auction Bullish and Bearish Acceptance Bullish and Bearish LVN Traversal Bullish and Bearish These labels appear directly on price and use user defined bullish and bearish colors for quick interpretation. 🔸 6) LVN Traversal (Liquidity Void / Vacuum) Detection The script detects low volume nodes as true local valleys in the previous profile histogram. A bin qualifies as an LVN when surrounding bins on both sides have higher volume for a chosen valley depth. If current price enters one of these prior LVN zones from above or below, the script marks a potential traversal event. This can help identify zones where price may move faster due to lower prior participation. 🔸 7) Previous Profile Shape Classification (P, b, D) The script classifies the previous profile shape based on where the POC sits within the full profile range: P shape if POC is near the upper portion of the profile b shape if POC is near the lower portion D shape if POC is near the middle This gives quick context about the prior session structure, which can support directional bias interpretation and session planning. 🔸 8) Initial Balance (IB) Tracking The indicator tracks the Initial Balance range using a user defined duration in minutes. During the IB window, it records session high and low. After the IB period ends, it can draw an IB box on the chart for visual reference. This is useful for intraday frameworks where the IB range is used as a key reference for breakout, reversal, and auction development. 🔸 9) Open Type Classification and Daily Bias At the start of each new anchor session, the script compares the new open to the previous value area and assigns a basic daily bias such as initiative bullish, initiative bearish, or responsive inside. After the IB period completes, it classifies the open type using rule based conditions, including: Open Drive Bullish / Bearish Open Rejection Reverse Bullish / Bearish Open Test Drive Bullish / Bearish This adds a session narrative layer on top of the profile levels. 🔸 10) Previous Profile Histogram Visualization on Last Bar On the last bar, the script can render the previous profile histogram as a horizontal bar style distribution using boxes. Bins inside the previous value area can be colored differently from bins outside value. This provides an at a glance visual summary of where prior volume concentrated, without needing a separate profile tool. 🔸 11) Extensive Visual Customization Users can configure colors for: Previous POC Previous VA levels Histogram bins Value area histogram bins Bullish signals Bearish signals This makes it easy to integrate the indicator into existing chart themes and workflows. 🔸 12) Structured Object Based Design The script uses custom types ( VolumeBin and SessionProfile ) to store profile state, bins, levels, shape, and LVN zones. This object based approach keeps the logic modular and easier to maintain as features are added. 🔹 Calculations 1) Session Detection and Profile Lifecycle A new profile session is detected with: bool isNewSession = timeframe.change(i_anchor) When a new session begins: The current profile is finalized (end bar, profile calculations) The current profile becomes the previous profile A fresh session profile starts from the current bar This design ensures that current session logic can reference a fully completed previous profile with stable POC, VAH, VAL, shape, and LVN data. 2) Volume Profile Bin Initialization Each session profile is divided into i_rows equal price bins between session low and session high: float step = (this.highestPrice - this.lowestPrice) / rows for i = 0 to rows - 1 float bottom = this.lowestPrice + (i * step) float top = bottom + step this.bins.push(VolumeBin.new(top, bottom, 0.0)) As the current session high or low changes, the script rebuilds the current profile bins and repopulates volume from session start to the current bar. This keeps the current profile geometry aligned with the latest session range. 3) Proportional Volume Distribution Across Bins For each candle, the script distributes volume across all bins according to candle range overlap: float overlapTop = math.min(h, bin.priceTop) float overlapBottom = math.max(l, bin.priceBottom) if overlapTop > overlapBottom float overlapRatio = (overlapTop - overlapBottom) / barRange float volToAdd = v * overlapRatio bin.volumeTotal += volToAdd this.totalVolume += volToAdd Interpretation: Volume is allocated proportionally to the fraction of the candle range overlapping each price bin. This is a practical approximation of intrabar volume distribution across price. Special handling exists for zero range candles, where volume is assigned to the bin containing the candle price. 4) POC Detection and Profile Max Volume After session completion, the script scans all bins to find the highest volume bin: for i = 0 to this.bins.size() - 1 VolumeBin bin = this.bins.get(i) if bin.volumeTotal > maxVol maxVol := bin.volumeTotal pocIndex := i The POC price is set to the midpoint of that bin: this.pocPrice := (pocBin.priceTop + pocBin.priceBottom) / 2 The script also stores maxVolume , which is later used to scale histogram width display on the chart. 5) Value Area Calculation (VAH / VAL) The Value Area is built by expanding outward from the POC until the target percentage of session volume is reached: float targetVol = this.totalVolume * (vaPct / 100.0) float currentVol = pocBin.volumeTotal int upperIndex = pocIndex int lowerIndex = pocIndex At each step, the script compares the next upper and lower bin volumes and expands toward the larger volume side first. This continues until the cumulative value area volume reaches the target percentage. Final levels: this.vahPrice := this.bins.get(upperIndex).priceTop this.valPrice := this.bins.get(lowerIndex).priceBottom This is a standard volume profile style value area expansion method centered on POC. 6) Previous Profile Shape Classification (P, b, D) The profile shape is inferred from the POC position inside the profile range: float profileRange = this.highestPrice - this.lowestPrice float pocPosPct = (this.pocPrice - this.lowestPrice) / profileRange Classification logic: P shape if POC is at or above 70 percent of the range b shape if POC is at or below 30 percent D shape otherwise This is a simplified but practical shape proxy based on volume concentration location. 7) LVN (Liquidity Void) Valley Detection The script identifies LVNs as local volume minima among profile bins, using a user defined valley depth i_lvnDepth . A bin is treated as an LVN if the bins on both sides for the specified depth all have greater volume: for j = 1 to lvnDepth if this.bins.get(i - j).volumeTotal <= currentBin.volumeTotal or this.bins.get(i + j).volumeTotal <= currentBin.volumeTotal isValley := false break Only non zero volume bins are considered. Detected LVNs are stored in this.lvnZones for use in later traversal signals. 8) Initial Balance (IB) Calculation At the start of a new session, the script resets IB state and starts tracking the session open, session start time, and current IB high and low. While the market is still inside the IB duration: ibHigh := math.max(ibHigh, high) ibLow := math.min(ibLow, low) IB tracking ends once the elapsed time exceeds the configured duration in minutes: if (time - sessionStartTime) >= i_ibMins * 60000 inIb := false This produces the opening range used for later visualization and open type classification. 9) Daily Bias and Open Type Classification At each new session open, the script sets a basic bias by comparing the session open to the previous value area: Open above previous VAH suggests initiative bullish Open below previous VAL suggests initiative bearish Open inside previous value suggests responsive / inside After the IB period ends, the script classifies the open type using rule based comparisons among: Open location relative to previous VAH / VAL Close relative to IB highs and lows Intraday test and rejection behavior around prior value Examples from the code include: "Open-Drive Bullish" "Open-Rejection-Reverse Bearish" "Open-Test-Drive Bullish" This gives a structured session narrative that aligns with many profile and AMT workflows. 10) Acceptance vs Failed Auction Logic (Above VAH) The script tracks consecutive bars and cumulative volume when price closes above the previous VAH: if close > prevVah barsAboveVah += 1 volAboveVah += volume If price returns inside value before acceptance is confirmed, it prints a failed auction bearish signal (fade breakout logic): if barsAboveVah > 0 and not acceptedAbove and i_sigFailedAuc isFailedAucBear := true Acceptance bullish is confirmed only if both time and volume thresholds are satisfied: if barsAboveVah >= i_accBars and volAboveVah >= (avgVol * i_accVolMult) and not acceptedAbove and i_sigAccept acceptedAbove := true isAcceptBull := true This is a practical combination of time and participation filters, which reduces false acceptance signals from brief low volume excursions. 11) Acceptance vs Failed Auction Logic (Below VAL) The same framework is applied below the previous VAL: Tracking closes below VAL: if close < prevVal barsBelowVal += 1 volBelowVal += volume Failed auction bullish if price returns inside before acceptance: if barsBelowVal > 0 and not acceptedBelow and i_sigFailedAuc isFailedAucBull := true Acceptance bearish if time and volume thresholds are met: if barsBelowVal >= i_accBars and volBelowVal >= (avgVol * i_accVolMult) and not acceptedBelow and i_sigAccept acceptedBelow := true isAcceptBear := true This creates a symmetric AMT style signal model for both sides of value. 12) LVN Traversal Signal Logic If LVN traversal signaling is enabled, the script checks whether price enters a previous LVN zone from outside: Bullish traversal candidate when price enters the LVN from below Bearish traversal candidate when price enters the LVN from above Code logic example: if close > lvn.priceBottom and close < lvn.priceTop and close < lvn.priceBottom isLvnTravBull := true This flags the moment price enters a potential liquidity void zone where faster movement may occur. 13) Previous Profile Histogram Rendering on Last Bar On the last chart bar, the script draws the previous session histogram using boxes. Width is normalized by each bin volume relative to the profile max volume: float widthRatio = bin.volumeTotal / previousProfile.maxVolume int boxRight = bar_index + math.round((rightBar - bar_index) * widthRatio) Bins inside VAH and VAL are colored using the value area histogram color, while other bins use the general histogram color. This gives a compact visual profile snapshot without external tools. 14) Dynamic Plots for Previous POC, VAH, and VAL The previous profile reference levels are continuously plotted as line break style plots: plot(plotPoc, "Prev POC", color=i_colPoc, linewidth=2, style=plot.style_linebr) plot(plotVah, "Prev VAH", color=i_colVa, linewidth=1, style=plot.style_linebr) plot(plotVal, "Prev VAL", color=i_colVa, linewidth=1, style=plot.style_linebr) These lines provide stable reference levels throughout the current session and form the basis for the acceptance, rejection, and open type logic.
Индикатор Pine Script®
от UAlgo
Orderflow Detector [OmegaTools]Orderflow Detector is a multi-layered market microstructure and intrabar signal analysis indicator designed to highlight price-action events that are commonly associated with liquidity interaction, aggressive participation, and absorption behavior. It is built for traders who want a compact but information-dense framework to detect potential orderflow footprints directly on the chart while also monitoring a normalized delta-based resistance metric in a separate panel. The indicator combines event classification, lower-timeframe aggregation, directional volume imbalance analysis, and percentile-based contextual filters to provide a structured read of intraday activity without requiring a full depth-of-market interface. The software is designed around the idea that certain recurring price and volume patterns can act as practical proxies for underlying orderflow dynamics. Instead of attempting to reconstruct the full order book, it detects and labels specific bar formations and liquidity interactions that often reflect phenomena such as hidden liquidity execution, stop runs, and passive absorption. These detections are then enhanced by lower-timeframe sampling and by a delta-versus-range efficiency model that classifies bars according to whether price moved with unusually low or unusually high resistance. At the core of the indicator is a three-pattern detection engine that identifies Iceberg, Sweep, and Absorption conditions. Each signal is classified directionally and displayed directly on the chart with distinct symbols and vertical offsets, allowing the trader to quickly distinguish overlapping events and read them in context with the surrounding structure. The indicator can display all pattern families simultaneously or focus on one category at a time, which makes it suitable both for broad discretionary analysis and for targeted signal study during strategy development. The Iceberg detection logic is designed to identify potential hidden-liquidity style behavior around repeated highs or lows combined with strong participation and breakout/return dynamics. The script evaluates repeated local extremes, elevated volume relative to recent conditions, and short-term structural expansion beyond recent highs or lows. It then classifies the event according to whether the behavior is more consistent with buying pressure overcoming sell-side resistance or selling pressure overcoming buy-side support. This creates an interpretable label that can be used to spot possible areas where latent liquidity was present and subsequently absorbed or overwhelmed. The Sweep detection logic focuses on stop-run and reclaim behavior. It looks for price briefly moving beyond a recent local extreme and then closing back within the prior range under exceptionally strong volume conditions. This is intended to capture the kind of price action often associated with liquidity grabs, failed breakouts, and aggressive trapping dynamics. Direction is assigned based on whether the sweep occurs below recent lows with a recovery back above the broken area or above recent highs with a rejection back below the broken area. In practical use, these signals can be helpful for identifying potential exhaustion points, reversal zones, or confirmation events when used alongside broader trend and structure analysis. The Absorption detection logic seeks to identify bars where participation is elevated but realized range remains relatively compressed, which can indicate passive liquidity absorbing aggressive flow. The script compares current volume and true range behavior to recent averages, then combines this with wick asymmetry and candle direction to infer whether absorption is more likely occurring on the offer side or bid side. This produces directional absorption labels that can help traders recognize situations where apparent aggression is not translating into efficient price movement, a condition that often precedes either continuation after re-accumulation or reversal after failed initiative. A major strength of the indicator is its use of lower-timeframe aggregation through a configurable resolution input. Instead of relying exclusively on the chart’s current timeframe, the script evaluates the core event conditions on a selected lower timeframe and aggregates the resulting directional detections into the active bar. This allows the indicator to preserve intrabar signal sensitivity while remaining visually usable on higher chart timeframes. In practice, this means a trader can analyze a higher timeframe chart while still receiving information about micro-events that occurred inside each bar, improving context without cluttering the chart with excessive detail. In addition to event labeling, the software computes a lower-timeframe directional volume imbalance model by separately aggregating up-bar volume and down-bar volume. From this it derives a delta estimate, then normalizes it using a rolling standard-deviation framework to produce a standardized delta intensity metric. This metric is displayed as a histogram and serves as a quantitative measure of how unusual the current directional participation is relative to recent conditions. The result is a more informative volume read than raw volume alone, since it incorporates directional pressure and statistical normalization. The indicator goes further by combining normalized delta intensity with a custom range-efficiency model to estimate a resistance metric. This metric is designed to reflect how much directional participation was required to produce the observed bar movement. Conceptually, it provides a practical approximation of whether price traveled easily or encountered significant resistance. When the metric is unusually low, the bar may represent movement with relatively little resistance, while unusually high values may indicate strong opposition to directional flow. This is then contextualized using percentile thresholds over a rolling window, allowing the script to identify statistically extreme low-resistance and high-resistance conditions in a dynamic, instrument-adaptive manner. The percentile-based box overlay system visually marks these resistance extremes directly on price bars. Bars classified as low-resistance can be extended forward with shaded boxes to highlight potential paths of least resistance, while high-resistance bars can be marked as zones where market opposition was comparatively strong. The user can choose to display only low-resistance zones, only high-resistance zones, both, or none. This feature is particularly useful for discretionary traders who want a visual map of bars that may act as reference zones for continuation, reaction, or retest behavior in subsequent price action. The software includes a flexible visual configuration system that allows traders to tailor the display to their workflow. Users can choose which event families to display, whether to project low- or high-resistance boxes, what lower timeframe to use for intrabar aggregation, and which colors to assign to bullish and bearish detections. The result is an indicator that can be configured for minimalist chart annotation or more comprehensive orderflow-style monitoring depending on the user’s objectives. The indicator’s chart annotations are intentionally separated by type and offset to preserve readability when multiple signals occur on the same bar. Iceberg events, Sweep events, and Absorption events each use distinct visual markers and are placed at different distances from the bar so that they remain legible even in high-activity conditions. This design is especially useful during fast intraday sessions where several market microstructure events may cluster in a short period. The delta histogram panel complements the chart annotations by giving the trader a continuous quantitative read of participation intensity. The histogram is color-coded according to directional delta and normalized magnitude, making it easy to identify whether a bar’s directional participation is weak, moderate, or extreme. Reference thresholds are displayed to help frame interpretation and support rule-based usage in discretionary or semi-systematic trading processes. Orderflow Detector is intended for advanced chart users, intraday discretionary traders, and system developers who want a practical bridge between pure price action and more specialized orderflow analysis. It is especially useful in environments where access to full order book tools is limited or where a trader wants a portable, chart-native framework for identifying liquidity interactions and directional participation anomalies. It can be used to support breakout confirmation, trap detection, reversal timing, trend continuation analysis, and contextual filtering for execution decisions. As with any analytical indicator, this software should be used as part of a broader decision-making framework that includes market structure, risk management, and trade management discipline. The signals and resistance classifications are probabilistic interpretations of price and volume behavior, not direct observations of all market participants. When used correctly and in context, the indicator provides a robust and professional toolset for detecting and visualizing actionable orderflow-related behavior in real time on TradingView. - Eros
Индикатор Pine Script®
от OmegaTools
Liquidity Explosion# Liquidity Explosion Indicator ## What It Does Spots big volume + price movements that often signal institutional buying or breakouts. Shows small colored dots below candles when liquidity "explodes" above normal levels. ## How It Works Compares current volume×price to the past 20 days. When today's liquidity is 50%+ higher than before, you get a signal. Stronger signals = darker colored dots. // Simple calculation liquidity = ta.sma(close, 20) * ta.sma(volume, 20) blast = liquidity > previous_liquidity * 1.5 // 50% increase ## Key Features Small colored dots below candles (not big distracting shapes) Orange/Purple/Blue color options that stand out clearly Strength levels 0-10: Light dots = weak signals, Dark dots = strong signals Works on any timeframe (1m to 1D) Built-in filters to avoid false signals on low-volume stocks ## How to Use ### Quick Setup 1. Add indicator to your chart 2. Choose your color: Orange (default), Purple, or Blue 3. That's it! Default settings work for most stocks ### Reading Signals - **Colored dot below candle** = Liquidity explosion detected - **Light dots** = Moderate strength (levels 0-3) - **Dark dots** = Strong signals (levels 7-10) - **No dot** = Normal volume/price activity ### Simple Settings Guide - Blast Threshold : 50% = balanced, 30% = more signals, 70% = fewer but stronger - Minimum Liquidity : 50 Cr = good for most stocks, increase for penny stocks - Dot Size : "auto" recommended, or "tiny" for clean charts ## Why This Is Different Unlike other volume indicators that show big distracting shapes or confusing oscillators, this keeps it simple: - Small dots that don't clutter your chart - Clear color coding: Orange stands out against any candle color - Focuses on the most important thing: when big money is moving ## What Makes It Original Combines volume AND price movement (not just volume alone) Uses 0-10 intensity levels instead of simple on/off signals Designed specifically for Indian markets (Crore values, NSE/BSE stocks) Smart filtering prevents false signals on illiquid stocks Professional appearance suitable for serious trading ## Best Practices Works great with support/resistance levels - look for dots near key levels Combine with price action - dots + breakouts = higher probability setups On volatile stocks, increase the threshold to 60-70% to reduce noise For penny stocks, increase minimum liquidity to 100+ Crores Use different colors for different strategies (Orange for momentum, Blue for reversals) ## Important Notes This is for educational purposes only. Not financial advice. Always do your own research and risk management. Past performance doesn't guarantee future results.
Индикатор Pine Script®
от tarunlalwani007
CVD Divergence & Absorption [UAlgo]CVD Divergence & Absorption is a dual context indicator that combines a cumulative volume delta (CVD) oscillator with price pivot structure to detect three important signal classes: Regular Divergence, Hidden Divergence, and Absorption. The script is designed to help traders compare price movement against directional volume participation and identify moments where price and CVD disagree, or where price stalls at similar levels while CVD continues to expand or contract. The indicator runs in a separate pane ( overlay=false ) and plots a continuous CVD line, while signal labels and price side connecting lines are projected onto the main chart using force_overlay=true . This gives a clean workflow where you can monitor the CVD series in its own panel and still see exact divergence locations directly on price. A key strength of this script is its lower timeframe volume decomposition. Instead of assigning the full chart bar volume to a single direction, it samples lower timeframe candles through request.security_lower_tf() , classifies each sub candle as up volume or down volume based on its close versus open, and aggregates the result into a bar level delta. That delta is then accumulated into the running CVD value. This approach is practical, efficient, and more granular than a simple chart timeframe approximation. The script also includes quality controls for signal validation: Pivot based comparisons for both price and CVD Minimum and maximum bar distance filters between pivot comparisons Equal price tolerance for absorption detection A line of sight filter that rejects visually obstructed divergences where intervening candles violate the connecting path The result is a professional divergence framework focused on cleaner, more interpretable signals rather than high frequency marking of every pivot mismatch. Educational tool only. Not financial advice. 🔹 Features 🔸 1) Lower Timeframe CVD Construction (LTF Volume Decomposition) The script builds CVD using lower timeframe candles selected by the user through the Lower Timeframe (LTF) input. For each chart bar, it retrieves arrays of lower timeframe open, close, and volume values and computes a signed delta: Up LTF candle (close > open) adds volume Down LTF candle (close < open) subtracts volume Neutral LTF candle contributes zero This produces a more refined bar delta than a single bar directional assumption and makes the CVD line more responsive to intrabar rotation. 🔸 2) Pivot Based Signal Engine for Price and CVD Signal generation is anchored to confirmed price pivots using user defined left and right pivot bars. A signal candidate is considered only when: A price pivot high/low is confirmed by ta.pivothigh or ta.pivotlow The CVD value at that pivot location also behaves like a local high/low (simple local extremum check) This means the script does not compare arbitrary points. It compares structurally meaningful swing locations. 🔸 3) Regular Divergence Detection (Bullish and Bearish) The indicator supports classic regular divergence logic: Bullish Regular Divergence: price makes a lower low while CVD makes a higher low Bearish Regular Divergence: price makes a higher high while CVD makes a lower high These signals can indicate weakening trend continuation pressure and potential reversal behavior, depending on context. 🔸 4) Hidden Divergence Detection (Bullish and Bearish) The script also detects hidden divergence, which many traders use as continuation style confirmation: Bullish Hidden Divergence: price makes a higher low while CVD makes a lower low Bearish Hidden Divergence: price makes a lower high while CVD makes a higher high Hidden divergence is optional and can be toggled independently from regular divergence. 🔸 5) Absorption Detection with Equal Price Tolerance Absorption logic is included to capture situations where price prints near equal pivots, but CVD continues moving in a direction that suggests aggressive participation is being absorbed at the level: Bearish Absorption (at highs): price is approximately equal high, but CVD is higher Bullish Absorption (at lows): price is approximately equal low, but CVD is lower The Equal Price Tolerance % input allows the script to treat two pivots as "equal" within a configurable percentage band. This makes absorption detection adaptable across instruments with different volatility profiles. 🔸 6) Minimum / Maximum Pivot Distance Filters To avoid weak or overly stale comparisons, the script enforces: A minimum number of bars between pivots A maximum lookback distance for valid pivot pairing This helps reduce noisy signals from pivots that are too close together and prevents pairing pivots that are too far apart to be contextually useful. 🔸 7) Line of Sight Validation (Signal Quality Filter) Before accepting a pivot comparison, the script checks whether the straight line connecting the two price pivots is "clear" from intervening candle violations: For bearish (high based) comparisons, intervening highs must not cross above the connecting line For bullish (low based) comparisons, intervening lows must not cross below the connecting line This is a strong visual integrity filter. It avoids many cluttered or ambiguous divergence lines that would look invalid once drawn on the chart. 🔸 8) Dual Visualization on Price and CVD When a signal is detected, the script draws: A label on price ("Reg", "Hid", or "Abs") A line connecting the two relevant price pivots on the main chart A line connecting the corresponding CVD pivot values in the CVD pane Line styles are used to distinguish signal types: Solid for Regular Divergence Dashed for Hidden Divergence Dotted for Absorption This synchronized plotting makes it easy to verify the signal logic visually. 🔸 9) Conflict Handling for Cleaner Labels Absorption labels are intentionally suppressed when a Hidden Divergence signal is already active on the same side in the same event block: bullAbs and not bullHidDiv bearAbs and not bearHidDiv This prevents duplicate labels on the same pivot and improves chart readability. 🔸 10) Lightweight Pivot Memory Management The script stores historical pivot comparison points in separate arrays for highs and lows and caps them using a helper method ( maxSize = 15 ). This keeps the logic efficient while preserving enough recent history for valid comparisons. 🔹 Calculations 1) Lower Timeframe Delta Aggregation The script retrieves lower timeframe OHLCV arrays and computes bar delta by summing signed volume from each LTF candle: array ltf_open = request.security_lower_tf(syminfo.tickerid, i_ltf, open) array ltf_close = request.security_lower_tf(syminfo.tickerid, i_ltf, close) array ltf_volume = request.security_lower_tf(syminfo.tickerid, i_ltf, volume) if ltf_c > ltf_o totalDelta += ltf_v else if ltf_c < ltf_o totalDelta -= ltf_v Interpretation: The script uses candle direction as a proxy for buying/selling pressure inside each chart bar. This is an estimated delta model based on candle body direction, not true bid/ask tape delta. 2) CVD Accumulation Bar delta is added into a running cumulative value stored inside a custom tracker object: method update_cvd(CVD_Tracker this, float delta) => this.currentCVD += delta this.currentCVD The tracker persists across bars using: var CVD_Tracker tracker = CVD_Tracker.new(0.0, array.new(), array.new()) This design keeps both the CVD value and pivot histories in one structured container. 3) Price Pivot Detection Price pivots are confirmed using standard left/right pivot logic: float ph = ta.pivothigh(high, i_left, i_right) float pl = ta.pivotlow(low, i_left, i_right) Because pivot confirmation occurs after i_right bars, signal labels and lines are placed at: bar_index - i_right This aligns the plotted signal with the actual pivot bar, not the confirmation bar. 4) CVD Pivot Confirmation at the Same Pivot Location The script requires CVD to form a local extremum at the price pivot location using a simple 3-point comparison around currentCVD : bool cvdIsPh = currentCVD > currentCVD and currentCVD > currentCVD bool cvdIsPl = currentCVD < currentCVD and currentCVD < currentCVD Then: bool isPh = not na(ph) and cvdIsPh bool isPl = not na(pl) and cvdIsPl This ensures price and CVD are compared on synchronized pivot events rather than unrelated timestamps. 5) Pivot Pair Selection with Distance Constraints When a new pivot is confirmed, the script scans prior pivots of the same type (highs with highs, lows with lows) and applies: i_min_bars as the minimum spacing i_max_bars as the maximum valid distance if barsBetween < minBars continue if barsBetween > maxBars break This keeps comparisons within a user defined structural window. 6) Line of Sight Filter (Price Geometry Validation) Before checking divergence conditions, the script verifies that the connecting price line is not invalidated by intervening candles. For highs: if barsBack >= 0 and high >= lineY clear := false For lows: if barsBack >= 0 and low <= lineY clear := false Interpretation: Bearish comparisons require a clean descending/ascending line between highs without intermediate highs breaking above it. Bullish comparisons require a clean line between lows without intermediate lows breaking below it. This is one of the script’s strongest anti-noise mechanisms. 7) Equal Price Tolerance for Absorption The script calculates percentage difference between pivot prices and treats them as equal if the difference is within the tolerance: float priceDiffPct = math.abs(newPivot.priceVal - histPivot.priceVal) / histPivot.priceVal * 100 bool isEqual = priceDiffPct <= eqTol This enables absorption logic to work with approximate equal highs/lows instead of requiring perfect price matches, which are rare in live markets. 8) Bearish Signal Logic (Regular, Hidden, Absorption) For pivot highs, the script compares a new pivot high against a historical pivot high after passing distance and line of sight checks. Bearish Regular Divergence newPivot.priceVal > histPivot.priceVal and not isEqual and newPivot.cvdVal < histPivot.cvdVal Meaning: Price makes a higher high CVD makes a lower high Bearish Hidden Divergence newPivot.priceVal < histPivot.priceVal and not isEqual and newPivot.cvdVal > histPivot.cvdVal Meaning: Price makes a lower high CVD makes a higher high Bearish Absorption isEqual and newPivot.cvdVal > histPivot.cvdVal Meaning: Price prints an approximately equal high CVD pushes higher, suggesting buying effort is absorbed near the same price zone 9) Bullish Signal Logic (Regular, Hidden, Absorption) For pivot lows, the script compares a new pivot low against a historical pivot low after passing distance and line of sight checks. Bullish Regular Divergence newPivot.priceVal < histPivot.priceVal and not isEqual and newPivot.cvdVal > histPivot.cvdVal Meaning: Price makes a lower low CVD makes a higher low Bullish Hidden Divergence newPivot.priceVal > histPivot.priceVal and not isEqual and newPivot.cvdVal < histPivot.cvdVal Meaning: Price makes a higher low CVD makes a lower low Bullish Absorption isEqual and newPivot.cvdVal < histPivot.cvdVal Meaning: Price prints an approximately equal low CVD pushes lower, suggesting selling effort is absorbed near the same price zone 10) Signal Plotting and Visual Encoding When a condition is confirmed, the script plots both price side and CVD side lines between the historical pivot and the new pivot, plus a compact label at the new pivot location. Examples: label.new(bar_index - i_right, low , text="Reg", ...) line.new(bullLastPivot.loc, bullLastPivot.priceVal, bullNewPivot.loc, bullNewPivot.priceVal, ..., force_overlay=true) line.new(bullLastPivot.loc, bullLastPivot.cvdVal, bullNewPivot.loc, bullNewPivot.cvdVal, ..., force_overlay=false) Style mapping: line.style_solid for Regular Divergence line.style_dashed for Hidden Divergence line.style_dotted for Absorption 11) Pivot History Storage and Capacity Control Each confirmed pivot is stored in a side specific array (highs or lows) using a helper method: method add_pivot(array this, Pivot p, int maxSize = 15) => this.push(p) if this.size() > maxSize this.shift() This preserves recent structural history for future comparisons while keeping memory usage controlled.
Индикатор Pine Script®
от UAlgo
2
Quantum Confluence [CVD] v46Quantum Confluence - The Institutional Order Flow Sniper Overview While moving averages and oscillators are fantastic for spotting macro trends and structural shifts, they often lag the exact moment that smart money enters the market. The Quantum Confluence (Cumulative Volume Delta) is engineered to solve the "when exactly do I pull the trigger?" problem. By reading the micro-level delta between buying and selling pressure, this indicator plots highly visual "Whale Bubbles" directly on your chart, highlighting the exact moments institutional size aggressively strikes the bid or the ask. Key Highlights • Micro-Level Precision: Designed specifically for lower timeframes (1m and 5m charts), this tool filters out the noise of standard volume bars and focuses purely on the delta—the net difference between aggressive buyers and aggressive sellers. • Visual "Whale" Bubbles: Instead of forcing you to read a jagged, confusing sub-chart line, this indicator prints intuitive, color-coded bubbles. The larger the bubble, the more aggressive the institutional order flow at that specific price point. • Exhaustion vs. Initiation: By visualizing the delta, you can clearly see if a move is being fueled by fresh institutional buying (initiation) or if retail traders are simply getting trapped at the highs (exhaustion). How to Trade It 1. The Macro to Micro Approach: Never trade CVD in isolation. Use your higher timeframe structure (like the Adaptive SVP) to identify where you want to do business. Once price reaches your level, drop to the 1m or 5m chart. 2. The Sniper Entry: When price taps your macro level (e.g., Value Area Low), wait for a massive Bullish CVD Bubble to print. This confirms that a large participant has stepped in to absorb the selling and initiate a reversal. That is your exact entry trigger. 3. Spotting Absorption: If price is pushing into a resistance level and you see massive Bullish CVD Bubbles, but price refuses to break higher, the buying is being passively absorbed by a larger seller. This is a massive warning sign to take profits or look for a short. The Quantum Ecosystem Integration This indicator is the final "Trigger" layer of the Quantum Trading System. • Step 1 (The Roadmap): Use the Quantum Adaptive Session Profile (SVP) to find your structural levels. • Step 2 (The Momentum Engine): Check the Quantum Confluence to ensure macro momentum and volume pressure are aligning with your trade idea. • Step 3 (The Trigger): Zoom into the 1m or 5m chart and wait for the Quantum Confluence bubbles to fire, giving you the exact second to execute alongside the whales. ⚠️ DISCLAIMER: STRICTLY FOR EDUCATIONAL PURPOSES The information, scripts, and concepts provided in this publication are for educational and informational purposes only and do not constitute financial, investment, or trading advice. Trading in financial markets (including Forex, Crypto, Stocks, and Commodities) carries a high level of risk and may not be suitable for all investors. You could lose some or all of your initial investment. Past performance is not indicative of future results. Always conduct your own due diligence, backtest any strategy thoroughly, and consult with a certified financial advisor before making any trading decisions. By using this script, you acknowledge that you are solely responsible for your own trading actions and outcomes.
Индикатор Pine Script®
от kimlombard
CVD Background | Institutional Order Flow Bias ModelCVD Background | Institutional Order Flow Bias Model Overview CVD Background is a quantitative market pressure model built around Cumulative Volume Delta (CVD). The indicator evaluates aggressive buying versus selling activity using lower timeframe volume aggregation and projects directional dominance directly onto the price chart as a background regime filter. This tool is designed for traders who prioritize order flow imbalance over price-only signals. Methodology Cumulative Volume Delta measures the net difference between market buy volume and market sell volume. This model: Aggregates lower timeframe delta data Applies anchor-period reset logic Identifies positive vs negative flow dominance Classifies market state into two regimes Regime 1 — Positive Delta (Accumulation) Background turns Green. CVD > 0 ────────────────────────── ▲ │ BUYER AGGRESSION │ 0 ────┼────────────────── │ │ Background State: 🟢 GREEN Interpretation: Buy-side market orders dominate Participation imbalance favors upside continuation Regime 2 — Negative Delta (Distribution) Background turns Red. The result is a clean structural bias overlay representing participation imbalance. CVD < 0 ────────────────────────── │ │ 0 ────┼────────────────── │ ▼ SELLER AGGRESSION Background State: 🔴 RED Interpretation: Sell-side market orders dominate Participation imbalance favors downside continuation --------------------------------------------------------------- Regime Transition Model Positive Flow ▲ │ │ ────────────0──────────── │ │ ▼ Negative Flow Zero line acts as a structural aggression divider. Above → Accumulation Below → Distribution ------------------------------------------------------------ Strategic Applications This model functions as a regime filter, not a signal generator. Professional use cases include: Trend alignment validation Breakout participation confirmation Liquidity sweep filtering Momentum continuation screening Avoidance of counter-flow positioning It is particularly effective when paired with: Market structure analysis VWAP models Volatility expansion frameworks Liquidity mapping systems Structural Advantages • No visual clutter • No predictive overlays • No repainting • Timeframe-agnostic implementation • Adaptive reset control via Anchor Period The indicator emphasizes clarity of dominance rather than entry precision. Intended Audience This model is built for: Futures traders Crypto derivatives traders Intraday equity traders Systematic traders using bias filters Order flow and volume-based strategists Conceptual Framework Price reflects agreement. Volume reflects participation. Delta reflects aggression. CVD Background isolates aggression. Risk Statement This indicator measures participation imbalance, not guaranteed price direction. It should be integrated within a structured risk and execution framework.
Индикатор Pine Script®
от aang-and-appa
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.
Индикатор Pine Script®
от LuxAlgo
BB 3SD Volume Segmentation CurvesThis is a companion script to It's purpose is to enhance visualisation of volume and volume differential for those areas where price is most likely to react from and to showcase the differences in a succinct graphical way for quick comparisons. Purpose This script maps buy/sell volume, delta, and dominance into Bollinger Band zones to reveal where aggressive participation occurs relative to volatility structure. Instead of looking at raw volume or delta in isolation, it distributes flow across eight volatility buckets (from >3SD to <–3SD), allowing you to see whether buyers or sellers are dominating at extremes, mid‑zones, or mean‑reversion areas. The goal is to create a normalized, volatility‑aware flow curve that highlights exhaustion, absorption, and imbalance far more clearly than standard volume indicators. How it works The script builds a multi‑SD Bollinger framework (1, 2, 3 standard deviations) and reconstructs buy/sell volume to compute delta. For every bar, it assigns volume and delta to the BB zone where price closed, then sums these values over the chosen lookback window. Each zone is normalized by total volume, producing comparable curves regardless of volatility or timeframe. Depending on the selected mode (Dominance %, Delta, or Volume), the script plots eight zone‑curves plus an optional total curve, giving a full distribution of flow across volatility extremes. Rationale Volume and delta behave very differently depending on where price sits relative to volatility structure. Heavy selling below –2SD means something completely different from heavy selling at the mean, and dominance at +3SD often signals exhaustion rather than continuation. By decomposing flow into volatility buckets, the script exposes where real aggression is happening and whether it aligns with trend, absorption, or reversal conditions. This transforms volume/delta from a blunt tool into a structured, regime‑aware signal that integrates cleanly with multi‑TF mean‑reversion or breakout systems.
Индикатор Pine Script®
от chriskokal1
VSA with Absorption Proxy for Holmes and Bookmap StyleVSA + Absorption Proxy – Holmes / Bookmap Style (No Delta Data Required) This open-source strategy is a simplified, VSA (Volume Spread Analysis) inspired scalper that approximates **absorption** and **rejection** patterns commonly observed in professional order-flow tools (Bookmap, Holmes, Jigsaw, etc.) — using only standard OHLCV data. Core Concept & Why This Proxy? In VSA and order-flow trading, **absorption** occurs when aggressive selling is met with strong buying support (high volume + wide spread + reversal up), often signaling exhaustion of sellers and potential reversal/continuation up. **Rejection** is the mirror: aggressive buying met with strong selling (high volume + wide spread + reversal down). Because true bid/ask delta is not available in standard Pine Script, this script uses a directional volume proxy: - delta ≈ volume × (close - open) / (high - low) - Combined with wide spread (vs ATR) + high volume (vs SMA) + delta flip This creates a reasonable proxy for spotting climactic volume bars where one side gets absorbed/rejected. Entry & Exit Logic Long (Absorption Bull): - High volume bar (volume > SMA(volume,20) × multiplier) - Wide spread (range > ATR(14) × multiplier) - Bullish candle (close > open) - Delta turns positive after being negative previous bar Short (Rejection Bear): mirror logic (bearish candle + delta turns negative) Risk Management (fixed %): - Stop Loss: entry low/high adjusted by riskPct (default 1%) - Take Profit: risk × rrTarget (default 3.5:1) Visuals - Green background + triangle below bar → Absorption Bull signal - Red background + triangle above bar → Rejection Bear signal Important Realism & Backtesting Guidelines To avoid misleading results, publish/test with: - Initial Capital: $10,000 – $50,000 (realistic retail/futures account) - Position sizing: 1–3% equity per trade (adjust via strategy properties) - Commission: $4–$10 round-turn per contract (futures) or 0.03–0.05% (forex/stocks) - Slippage: 1–4 ticks (futures) or 0.5–2 pips (forex) — higher during news - Dataset: ≥12–36 months on chosen timeframe (aim for 400–1000+ trades) - Risk per trade: 0.5–2% max — never exceed sustainable levels Expectations: - Works best on high-volume instruments (NQ, ES, GC, BTC, major forex) during active sessions - Fewer signals in low-volatility/choppy periods - Drawdowns common during strong trends — this is a counter-trend / absorption catcher, not trend-following - News events (FOMC, NFP, earnings) can cause false signals — avoid or widen stops How to Use 1. Apply to high-liquidity symbols (NQ1!, ES1!, GC1!, BTCUSD, EURUSD, XAUUSD) 2. Timeframes: 3m–15m for scalping, 30m–1h for swing context 3. Trade during high-volume sessions (London/NY overlap for forex, US open for futures) 4. Look for confluence: - Absorption + nearby support / demand zone → stronger long - Rejection + nearby resistance / supply zone → stronger short 5. Forward-test on demo extensively — absorption setups are high-conviction but low-frequency 6. Always use proper position sizing — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic Strategy Tester results with commission/slippage applied - Screenshot during active session with visible absorption/rejection signal + background tint Educational tool — open-source for learning VSA/order-flow concepts. This is a proxy approximation — not true delta/order-flow. Trading involves substantial risk of loss. Test thoroughly and trade responsibly. Feedback welcome — especially parameter tuning ideas for different instruments!
Стратегия Pine Script®
от uzair2join
Volume Delta Bubble + Absorption📊 Overview A sophisticated volume analysis tool that identifies unusual buying/selling pressure and detects absorption patterns in real-time. This indicator combines statistical volume analysis with smart price action detection to reveal hidden market dynamics. 🔍 Key Features 1. Unusual Volume Detection Statistical Z-Score Analysis: Flags statistically significant volume spikes using adaptive thresholds Dual Detection Modes: Choose between adaptive (Z-Score) or fixed volume threshold methods Volume Delta Calculation: Compares buying vs selling volume based on price movement 2. Smart Absorption Detection 🎯 Directional Absorption: Identifies WHO is absorbing whom: B-ABS: Bullish Absorption (Buyers absorbing selling pressure) S-ABS: Bearish Absorption (Sellers absorbing buying pressure) Context-Aware Logic: Uses price rejection/support levels to determine absorption direction Streak Tracking: Monitors consecutive absorption bars for stronger signals 3. Visual Features 🎨 Color-Coded Bubbles: Green: Bullish volume Red: Bearish volume Light Green: Bullish absorption Light Red: Bearish absorption Smart Placement: Automatically avoids label overlapping Multiple Styles: Choose between circle or box label styles Background Highlighting: Absorbing bars are highlighted for quick identification 4. Information Display 📈 Real-time Stats: Volume, Z-Score, and percentage above average Info Table: Shows absorption trend, current Z-Score, and average volume Detailed Tooltips: Hover over bubbles for comprehensive information Absorption Markers: Small triangles indicate absorption bars ⚙️ How It Works Volume Delta Calculation The indicator calculates the net difference between buying and selling volume: Volume Delta Mode: Uses lower timeframe close vs open Candle Delta Mode: Uses current timeframe close vs open Neutral Handling: Accounts for doji candles with partial attribution Absorption Logic Detects when high volume fails to move price significantly: Small Body Check: Candle body < 60% of average (configurable) High Volume: Volume > 1.5x average (configurable) Direction Detection: Bullish Absorption: High selling volume but price holds above previous low Bearish Absorption: High buying volume but price rejects below previous high Statistical Analysis Z-Score Calculation: (Current Volume - Average Volume) / Standard Deviation Adaptive Thresholding: Default Z-Score ≥ 2.0 (2 standard deviations) Historical Comparison: Uses configurable lookback period (default: 60 bars) 🛠️ Customization Options Detection Settings Calculation Source: Volume Delta or Candle Delta Lower Timeframe: Analyze volume from faster timeframes Detection Mode: Adaptive (Z-Score) or Fixed volume threshold Lookback Period: 10-200 bars for statistical calculations Visual Settings Bubble Opacity: 0-100% transparency Label Styles: Circle or box format Smart Placement: Auto-adjust to avoid overlap Color Customization: Full control over all color schemes Absorption Settings Body Size Ratio: Adjust sensitivity (0.1-1.0) Absorption Labels: Toggle B-ABS/S-ABS labels Background Highlight: Toggle bar highlighting 📊 Output Information Each bubble displays: Volume: Formatted in millions (e.g., "1.25M") Z-Score: Statistical significance (e.g., "Z:2.45") Direction: Color-coded bullish/bearish Absorption Type: B-ABS or S-ABS when applicable 🎯 Use Cases For Traders: Breakout Confirmation: Validate breakouts with volume support Reversal Signals: Spot absorption at key support/resistance levels Trend Continuation: Identify accumulation/distribution patterns Risk Management: Avoid false breakouts with volume context For Analysts: Volume Profile Analysis: Understand institutional activity Market Structure: Identify hidden support/resistance Order Flow: Track buying/selling pressure in real-time Statistical Edge: Use Z-Score for objective volume assessment ⚡ Pro Tips Combine with Price Action: Use absorption signals at key S/R levels Multi-Timeframe: Lower timeframe provides early signals Confirmation: Wait for candle close before acting on signals Risk Management: Use smaller position sizes on absorption signals 🔧 Technical Details Built With: Pine Script v5 Maximum Labels: 500 (configurable) Overlay: Yes (displays on main chart) Calculation: On bar close (most accurate) Performance: Optimized for real-time use 📱 Alert Conditions Unusual Volume Delta: Triggers on statistically significant volume Absorption Detected: Alerts when absorption pattern forms Customizable: Set your own threshold levels 🎨 Design Philosophy Clarity: Minimal, clean visual presentation Information Density: Maximum insight with minimum clutter Customizability: Every visual element is adjustable User Experience: Intuitive for both beginners and professionals 📚 Educational Value This indicator teaches: Volume-price relationship Statistical volume analysis Absorption and distribution concepts Order flow interpretation Multi-timeframe analysis 🤝 Community Benefits Open Logic: Transparent calculations for peer review Educational: Helps traders understand volume dynamics Customizable: Adapts to different trading styles Reliable: Based on proven volume analysis principles 🚀 Why This Indicator? Smart Detection: Goes beyond basic volume analysis Directional Clarity: Clearly shows who's in control Statistical Rigor: Uses Z-Score for objective signals Professional Grade: Suitable for institutional analysis Beginner Friendly: Clear visuals and explanations Recommended Settings by Timeframe: Scalping (1-5 min): Lower TF = "1", Z-Score = 2.5 Day Trading (15-60 min): Lower TF = "5", Z-Score = 2.0 Swing Trading (4H-Daily): Lower TF = "60", Z-Score = 1.8 Perfect for: Day traders, swing traders, volume analysts, institutional traders, and anyone wanting to understand the true story behind price movements through volume analysis. Combine with price action and support/resistance levels for best results!
Индикатор Pine Script®
от iamsammy
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
Индикатор Pine Script®
от AghaInvst
Liquidity Depth Indicator [BigBeluga]🔵 OVERVIEW Liquidity Depth Indicator visualizes the distribution, balance, and depth of liquidity within a selected lookback window. It builds a full liquidity profile by scanning how often price interacted with each price level, generating cumulative buy-side and sell-side curves, heatmap intensity zones, and a clear Point of Control (PoC). This provides a deep structural view of where liquidity sits, how it’s stacked, and which side of the market dominates. 🔵 CONCEPTS Liquidity Binning — The full range (High → Low) over the lookback window is divided into 100 micro-price zones. Each candle contributes its volume into the bin closest to its close. Buy/Sell Side Split — • Zones above the midpoint = potential sell-side liquidity concentration. • Zones below midpoint = potential buy-side liquidity concentration. Cumulative Liquidity Curves — Each side builds a flowing curve showing how liquidity stacks from mid toward extremes. Liquidity Heatmap — Highlights volume density at each price level using color intensity for easy visual analysis. Point of Control — The price level with the highest liquidity accumulation (max volume bin). 🔵 FEATURES 100-Level Volume Distribution — Scans all candles inside the lookback period and assigns each close to the nearest bin. Sell-Side Depth Curve — Plotted above the midpoint, showing how sell liquidity increases as price moves toward the top of the range. Buy-Side Depth Curve — Plotted below the midpoint, showing how buy liquidity builds toward the bottom of the range. Volume Labels — Displays total buy-side and sell-side volume at curve peaks. Mid-Range Liquidity Split — Calculates: • Buy-side liquidity % • Sell-side liquidity % Displayed in two vertical boxes next to the profile. Liquidity Heatmap Overlay — Color-coded price strips showing where largest clusters sit: • Above midpoint → Sell zones • Below midpoint → Buy zones PoC Detection — Draws the strongest liquidity level with a bold line and prints its relative volume. Range Frame Lines — High, Low, and Mid lines are plotted to define the liquidity environment. Auto-Cleanup & Rebuild — All curves, boxes, and heatmap segments are refreshed each bar using barstate.islast. 🔵 HOW IT WORKS 1. Determines High, Low, and Mid over the lookback window. 2. Divides the range into 100 bins based on linear spacing. 3. Accumulates volume per bin depending on where each candle’s close lands. 4. Builds total, buy-side, and sell-side cumulative curves . 5. Colors the heatmap based on normalized volume per bin. 6. Locates PoC — the bin with maximum volume. 7. Creates buy/sell percentage distribution boxes . 🔵 HOW TO USE Identify Liquidity Imbalance — Compare the buy vs sell percentage boxes to see which side dominates. Spot Strong Liquidity Walls — Thick portions of cumulative curves represent areas price may reject. Read PoC as a Magnet — Price often gravitates toward the PoC or reacts strongly once reached. Evaluate Breakout Strength — If liquidity is concentrated at extremes, a breakout may face strong absorption. Use Heatmap as Hidden S/R — The brightest zones frequently act as hidden support/resistance. Detect Exhaustion Areas — If a curve sharply thins near highs or lows, the trend may weaken. 🔵 CONCLUSION Liquidity Depth Indicator is a powerful microstructure tool that reveals where liquidity is stacked within a price range. By combining cumulative curves, heat mapping, and PoC identification, it exposes both visible and hidden liquidity layers — helping traders spot absorption zones, reversal clusters, liquidity pools, and trend exhaustion areas with high clarity.
Индикатор Pine Script®
от BigBeluga
5
Market Regime AnalyzerStatistical regime detection with forward-looking transition probabilities. Combines drift testing, variance ratios, and volume delta to classify markets into 5 regimes and quantify transition probabilities. What Regime Are We In, and What's Likely Next? That's the question this indicator answers with statistical rigor and forward-looking probabilities. The Problem: Most traders classify regimes arbitrarily: "Bull if price > 200 MA" or "Bear if RSI < 30." These rules ignore statistical significance, volume confirmation, and mean reversion patterns. The result? Late entries, false signals, and confusion when markets transition. The Solution: Market Regime Analyzer combines drift detection, variance ratio testing, and volume delta analysis to classify markets into 5 distinct regimes. Then it calculates the probability of transitioning to each regime based on historical patterns. The Benefit: Know not just where you are, but where you're likely going - with probabilities, not guesses. The Five Market Regimes 🟢 Strong Bull (Regime 1) - Statistically significant upward drift (t-stat > 1.96) - Strong buying pressure (volume delta > 0.3) - No mean reversion detected - **Trade:** Trend-following strategies, ride the momentum 🟢 Weak Bull (Regime 2) - Upward drift present - BUT weak volume OR mean reversion detected - **Trade:** Reduce position size, tighten stops, prepare for consolidation ⚪ Consolidation (Regime 3) - No statistically significant drift - Mixed volume signals - Mean reversion likely present - **Trade:** Range-trading, avoid trend-following systems 🔴 Weak Bear (Regime 4) - Downward drift present - BUT weak volume pressure - **Trade:** Cautious shorts, reduce exposure, prepare for bounce 🔴 Strong Bear (Regime 5) - Statistically significant downward drift (t-stat < -1.96) - Strong selling pressure (volume delta < -0.3) - No mean reversion detected - **Trade:** Trend-following shorts, protective puts The Statistical Framework 1. Drift Detection with T-Statistics Instead of guessing if there's a trend, we test it statistically. How it works: - Calculates mean return over lookback period - Standardizes by volatility - Compares to significance threshold (default 1.96 = 95% confidence) What it tells you: - T-stat > 1.96: Statistically significant uptrend - T-stat < -1.96: Statistically significant downtrend - In between: No significant trend (consolidation) Why it matters: Only trades trends that are statistically validated, not just visually apparent. 2. Mean Reversion Testing (Variance Ratio) Based on Lo & MacKinlay (1988) research, this detects when markets are range-bound. How it works: - Compares variance at different time scales - Variance Ratio < 0.8 indicates mean reversion What it tells you: - Mean reversion = NO: Trends can continue - Mean reversion = YES: Expect price to return to mean, not breakout Why it matters: Prevents chasing breakouts in range-bound markets. 3. Volume Delta Analysis Total volume tells you HOW MUCH traded. Volume delta tells you WHO won. How it works: - Buying pressure - Selling pressure = Volume Delta - Normalized to show relative strength What it tells you: - Strong positive delta (>0.3): Buyers in control - Strong negative delta (<-0.3): Sellers in control - Weak delta: No clear winner Why it matters: Price can move up on weak buying or down on weak selling. Volume delta reveals the truth. 4. Transition Probability Matrix Historical regime changes predict future regime changes. How it works: - Tracks every regime transition over last 100 bars (configurable) - Builds probability distribution for next regime - Updates continuously Example: Current: Strong Bull Historical transitions from Strong Bull: - Stayed Strong Bull: 45% - Became Weak Bull: 30% - Became Consolidation: 20% - Became Weak Bear: 4% - Became Strong Bear: 1% What it tells you: Strong Bull has 75% chance of staying bullish (45% + 30%), only 5% chance of bearish turn. Why it matters: Adapts to your specific market's behavior patterns. How to Use This Indicator Strategy Adaptation In Strong Bull/Bear Regimes: - Use trend-following strategies - Wider stops, let winners run - Add to positions on pullbacks - High confidence in directional trades In Weak Bull/Bear Regimes: - Reduce position sizes by 50% - Tighter stops - Take profits earlier - Prepare for regime change In Consolidation: - Switch to range-trading strategies - Avoid trend-following systems - Sell resistance, buy support - Wait for regime change before trend trades Risk Management Position Sizing: - Strong regime + high continuation probability (>60%) = Normal size - Weak regime OR high transition probability = Half size - Consolidation = Quarter size or skip Stop Loss Placement: - Strong regime: Use wider stops (2x ATR) - Weak regime: Tighter stops (1x ATR) - Consolidation: Very tight stops (0.5x ATR) Entry Timing Best entries: - Regime just changed to Strong Bull/Bear - High probability (>50%) of staying in current regime - No divergence signals present - Drift and volume delta aligned Avoid entries: - High probability of regime change - Divergence signals appearing - Mean reversion detected in trending regime - Weak volume despite price movement Reading the Dashboard Current Regime Color-coded for instant recognition: - Dark Green = Strong Bull - Light Green = Weak Bull - Gray = Consolidation - Light Red = Weak Bear - Dark Red = Strong Bear Annualized Drift Expected annual return based on recent trend. - Positive = Upward bias - Negative = Downward bias - Near zero = No directional edge T-Statistic Measures statistical significance of drift. - > 1.96 = 95% confident in uptrend - < -1.96 = 95% confident in downtrend - Between = Not statistically significant Mean Reversion - Yes = Expect price to return to mean (range-bound) - No = Trends can continue (trending market) Volume Pressure Normalized volume delta strength. - > 0.3 = Strong buying - < -0.3 = Strong selling - Near 0 = Balanced Transition Probabilities Shows most likely next regime. - Highest probability = Most likely outcome - Evenly distributed = High uncertainty - Concentrated = High confidence in direction Practical Examples Example 1: Strong Bull with High Continuation Dashboard shows: Current Regime: Strong Bull Drift: +22% annualized T-Stat: 3.2 Mean Reversion: No Volume Pressure: +0.45 Probabilities: → Strong Bull: 50% → Weak Bull: 25% → Consolidation: 20% → Bears: 5% Interpretation: - Strong uptrend (t-stat 3.2 >> 1.96) - No mean reversion = trends can continue - Strong buying pressure (0.45 > 0.3) - 75% chance stays bullish (50% + 25%) Action: - Full position size on long setups - Use trend-following entries - Wider stops (2x ATR) - High conviction trades Example 2: Weak Bull Before Consolidation Dashboard shows: Current Regime: Weak Bull Drift: +8% annualized T-Stat: 1.2 Mean Reversion: Yes Volume Pressure: +0.15 Probabilities: → Strong Bull: 10% → Weak Bull: 30% → Consolidation: 50% → Weak Bear: 10% Interpretation: - Weak drift (t-stat 1.2 < 1.96) - Mean reversion detected = range-bound likely - Weak volume (0.15 < 0.3) - 50% chance of consolidation Action: - Reduce long positions - Tighten stops - Prepare for range-bound trading - Avoid new trend trades Example 3: Regime Transition Alert Previous: Weak Bull Current: Consolidation Volume divergence signal appeared: Price made new high, volume delta weakened Interpretation: - Trend exhausted - Buyers losing control - Regime confirmed the transition Action: - Exit trend-following longs - Switch to range-trading approach - Wait for new regime before new directional trades Settings Guide ### Regime Detection Period (50) Number of bars for statistical calculations. - **30-40:** More responsive, catches changes faster, more regime switches - **50 (default):** Balanced for daily/4H charts - **75-100:** More stable, fewer false regime changes, slower to adapt Transition History Depth (100) How much history to use for probabilities. - **50-75:** Adapts quickly to recent behavior - **100 (default):** Balanced robustness - **150-200:** More stable probabilities, slower to adapt Volume Delta Period (14) Period for volume calculations. - **7-10:** More sensitive to volume shifts - **14 (default):** Standard period - **20-30:** Smoother, less noise Significance Threshold (1.96) T-statistic required for trend classification. - **1.64:** 90% confidence, more trend regimes detected - **1.96 (default):** 95% confidence, balanced - **2.58:** 99% confidence, very conservative, mostly consolidation Best Practices Do: - Wait for regime confirmation (at least 3-5 bars in new regime) - Use probabilities to size positions appropriately - Combine with support/resistance for entries - Respect mean reversion signals - Adapt strategy to current regime Don't: - Trade every regime change immediately - Ignore high transition probabilities - Use trend strategies in consolidation - Override statistical signals with gut feel - Trade against Strong regimes without clear setup Timeframe Recommendations Daily Charts: - Default settings work well - Most reliable regime detection - Best for swing trading 4H Charts: - Use default or slightly higher lookback (60-75) - Good for active swing trading - More regime changes than daily 1H Charts: - Reduce lookback to 30-40 - More noise, use with caution - Better for intraday position trading 15M and below: - Not recommended - Too much noise for statistical validity - Regimes change too frequently Combining with Other Indicators Works Well With: Moving Averages - Use regime for directional bias - MAs for specific entry/exit points Support/Resistance - Regime shows context - S/R shows specific levels - High probability at confluence Volume Profile - Regime shows regime - Profile shows where volume is - Target high-volume nodes RSI/MACD - Regime provides context - Momentum shows entry timing - Combine for higher probability Example Combined Setup Regime: Strong Bull Price: Above 200 MA Level: Pullback to support RSI: Oversold (30) Volume Delta: Still positive Setup: Long entry Reason: Trend intact, healthy pullback, buyers still present Divergence Signals The indicator shows volume divergence warnings: Bearish Divergence (Red Triangle Down) - Price makes new high - Volume delta makes lower high - Warning: Buyers weakening, potential reversal Bullish Divergence (Green Triangle Up) - Price makes new low - Volume delta makes higher low - Warning: Sellers weakening, potential reversal How to use: - Divergence in Strong regime = early warning of regime change - Confirms when regime actually transitions - Don't trade divergence alone, wait for regime confirmation Limitations This Indicator Cannot: **Predict black swan events** - Unexpected news overrides all technical regimes **Work in all markets** - Needs liquid markets with reliable volume data **Guarantee profits** - Probabilities are not certainties **Replace fundamental analysis** - Technical regimes can diverge from fundamentals Works Best: - Liquid markets (major indices, forex, crypto, large-cap stocks) - Daily and 4H timeframes - Combined with other analysis - With proper risk management - In normal market conditions Common Questions "Why did the regime stay consolidation despite strong price move?" The indicator detected mean reversion (variance ratio < 0.8), indicating the move will likely reverse. Or the move wasn't statistically significant (t-stat < 1.96). Trust the statistics over visual appearance. "Probabilities show 30% for each regime. What does that mean?" High uncertainty. The market is at an inflection point. Reduce position sizes and wait for clearer regime formation. "Can I use this for day trading?" Not recommended on timeframes below 1H. Statistical tests need sufficient data. Better suited for swing trading. "Why does this show Strong Bull when my momentum indicators show weakness?" Momentum can weaken while the trend remains statistically significant. The indicator focuses on drift and volume, not momentum. Consider it a different perspective. Technical Notes Volume Delta Approximation Uses OHLCV data to approximate order flow: - Buy volume ≈ Volume on up-closes - Sell volume ≈ Volume on down-closes - Delta = Buy - Sell **Note:** Real order flow (from futures or Level 2) is more precise. This approximation works well on liquid markets. Statistical Tests Drift T-Test: - Null hypothesis: No drift (mean return = 0) - Reject if |t-stat| > threshold - Based on standard hypothesis testing Variance Ratio: - Compares 2-period variance to 1-period variance - Ratio = 1 for random walk - Ratio < 1 for mean reversion - Threshold of 0.8 based on empirical testing Transition Probability Implementation Due to Pine Script v5 limitations (no native 2D arrays), the 5×5 transition matrix is stored as a flat 1D array of 25 elements: - Position maps to index: `row × 5 + col` - Example: Transition from Regime 2 to Regime 4 is at index `1 × 5 + 3 = 8` - Laplace smoothing (0.1) prevents zero probabilities - Row sums normalized to calculate probabilities This approach is computationally efficient and maintains statistical accuracy. No Repainting All calculations confirmed on bar close. Regime changes appear when the bar closes, not during formation. Historical analysis is accurate. Alert Conditions Regime Change - Triggers when regime transitions to any new state - Message shows new regime number (1-5) Bearish Divergence - Triggers when price makes new high but volume delta doesn't confirm Bullish Divergence - Triggers when price makes new low but volume delta doesn't confirm Disclaimer FOR EDUCATIONAL PURPOSES ONLY This indicator uses statistical methods to analyze market regimes. It does not predict the future or guarantee trading success. Markets are probabilistic, not deterministic. A 70% probability of staying bullish means 30% chance of regime change. Always use proper risk management. Past regime transitions do not guarantee future transitions. Market structure can change. Statistical relationships can break down. Never risk more than you can afford to lose. Use stop losses on every trade. Test thoroughly before live trading. Consult a qualified financial advisor. © 2026 | Open Source Statistical rigor meets practical application
Индикатор Pine Script®
от DavidEH
CVD Momentum Divergence 1. Introduction Discover hidden buying/selling pressure before price explodes! The CVD Momentum Divergence indicator compares detrended and normalized price momentum (orange line) against Cumulative Volume Delta momentum (blue line) to reveal when volume flow diverges from price action. These two lines oscillate around zero on the same scale, making hidden strength/weakness crystal clear during market sessions. 2. Key Features - Dual Detrended Lines : Price momentum (orange) vs CVD momentum (blue) - both normalized - CVD-Price Divergence Histogram : Green bars above zero when blue (CVD stronger); Red bars below when orange (CVD weaker) - Trend-Free Analysis : SMA detrending removes directional bias for pure cycle comparison - Universal CVD Calculation : Works on any volume symbol - Fully Customizable : Separate price/CVD lengths + smoothing control 3. How to use Look for divergences between main chart price movement and the separation (distance) between blue/orange lines - the histogram quantifies this perfectly. - Large GREEN histogram (above zero) = CVD strength >> price movement = buying delta dominates - Large RED histogram (below zero) = Price strength >> CVD = selling delta dominates - Both lines above zero = overall buying momentum. Both below zero = selling momentum - Price falling BUT blue line stays high → hidden buying → upside likely - Price rising BUT blue lags → selling pressure building → downside risk NOTE : This indicator shows momentum divergence only! Always confirm with price action (support/resistance, candle patterns, key levels).
Индикатор Pine Script®
от destrobr0685
Bollinger Bands with 3SD Volume SegmentationPurpose This script provides a structured way to analyze how real traded volume distributes across the different volatility zones defined by Bollinger Bands with three standard deviations, it reveals where activity concentrates, how pressure shifts between buyers and sellers, and how market participation behaves as price moves through expanding or contracting volatility regimes. The tool turns the bands into a mechanical segmentation system that exposes the microstructure hidden inside each volatility layer. How it works The script calculates Bollinger Bands at one, two, and three standard deviations, then assigns every bar’s volume to the correct volatility zone based on where price closed, it reconstructs buy and sell volume from candle behavior, computes delta as the difference between them, and aggregates these values over the chosen lookback window. Each zone displays total volume, delta, and a dominance percentage that expresses how strongly buyers or sellers controlled that region, all updated dynamically on the most recent bar. For example, if the Mid–U1 zone shows 28,450 contracts with a –2,728 delta and –9.59% dominance, that indicates mild seller control in a normally balanced rotation area, while the L1–Mid zone showing 10,606 contracts, +1,816 delta, and 17.12% dominance signals buyers absorbing pressure and defending the pullback. Rationale Volatility zones behave like natural boundaries where liquidity concentrates, where traders commit, hesitate, or get trapped, and where expansions or reversals often originate, so segmenting volume and delta by these zones provides a clearer picture of intent and pressure than raw volume alone. By quantifying how much buying or selling occurred in each volatility layer, the script helps identify continuation, absorption, exhaustion, and imbalance, giving traders a mechanical, objective map of market behavior rather than relying on subjective interpretation.
Индикатор Pine Script®
от chriskokal1