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Liquidity

3SPC Three Candle Price Action Setup3SPC (Three Candle Price Action Setup) is an open-source indicator designed to detect a simple and clearly defined three-candle price action pattern. The logic is based on the following structure: • The first two candles move in the same direction (bullish or bearish). • The third candle interacts with the real bodies of both previous candles, which may indicate a short-term liquidity sweep or price reaction. • A bullish setup is confirmed when price holds above the open of the first candle. • A bearish setup is confirmed when price holds below the open of the first candle. This script does not use oscillators or lagging indicators. It is intended as a visual aid for discretionary traders and should be used together with market context, risk management and higher timeframe analysis. The script is published as open-source for educational and transparency purposes. UI Labels Translation: - نمایش ستاپ صعودی: Show bullish setups - نمایش ستاپ نزولی: Show bearish setups
Pine Script®指標
由Algorithm_time_price提供
1
Liquidity Buy SignalLiquidity Buy Signal is an indicator designed to detect BUY entries based on liquidity (swing lows) combined with a bullish reversal candle pattern. It automatically marks recent swing-low zones/levels, tracks the transition from solid → dashed when a level gets broken, and then confirms a signal when price sweeps/cuts the correct level and a bullish candle pattern appears. OANDA:EURUSD BUY signal (green triangle) triggers when: A bullish reversal candle pattern (based on a set of rules) is detected, and The Liquidity chain conditions are satisfied using the most recent swing lows: Price crosses the level with the lower wick, or The level is within the lower 30% range of the previous candle (n-1), and The level does not pass through the bodies of older candles (filtered by lookback). Key settings: Pivot Lookback: controls swing-low detection sensitivity. Swing Area: Wick Extremity / Full Range for zone definition. Filter lookback older bodies: filters out levels that intersect older candle bodies (skips n-2). Style: toggle Swing Low display + zone/line colors. Alerts: Includes a built-in alertcondition for BUY signals (useful for notifications/webhooks). This indicator is especially well-suited for identifying potential bottoms in a downtrend. Note: This tool provides trading signals and should be combined with context (trend/HTF/volume/risk management) before entering trades. Not financial advice.
Pine Script®指標
由StrategyLAB_提供
1
FOMC Sweep Reaction AP Capital – FOMC Sweep Reaction v1.0 AP Capital – FOMC Sweep Reaction v1.0 is a news-reaction and liquidity-based trading tool designed specifically to track and trade FOMC volatility on Gold (XAUUSD) and other highly reactive instruments. The indicator focuses on liquidity sweeps, structure breaks, and EMA reclaims that commonly occur around Federal Reserve interest-rate decisions and Powell speeches, helping traders identify high-probability reversal or continuation moves after the initial spike. 🔍 What This Indicator Detects This tool highlights the most repeatable FOMC behaviours observed across multiple months of broker data: • Sweeps of previous day’s high or low • Stop-hunt wicks into liquidity pools • EMA13 reclaim after the news spike • Break and close beyond short-term structure • Momentum shift following volatility exhaustion The goal is not to predict the news, but to react to confirmed price behaviour after liquidity has been taken. 📌 Core Features • FOMC Sweep Detection Identifies aggressive wicks into prior highs/lows during news volatility • EMA Reclaim Confirmation Uses EMA13 to validate momentum shift after the sweep • Market Structure Awareness Filters reactions that fail to break structure to avoid false reversals • Session-Aligned Logic Designed around London → NY → FOMC release timing • Clean Visuals Minimal chart clutter for fast decision-making during volatile conditions 🧠 How to Use Wait for FOMC release / Powell speech Allow price to sweep previous liquidity (PDH / PDL / local extremes) Observe reclaim of EMA13 Enter only after structure confirmation Manage trade using EMA trailing or structure-based exits ⚠️ This is a reaction system, not a prediction tool. 📊 Best Use Cases • XAUUSD (Gold) • NASDAQ / US indices • High-impact macro news events • 5-min to 15-min timeframes ⚠️ Important Notes • News volatility is extreme — risk management is essential • Not designed for low-volatility or ranging markets • Best combined with a clear trading plan and strict risk rules 📎 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Trading during high-impact news events involves significant risk.
Pine Script®指標
由APCapitalTrading提供
ICT Macro Tracker - Study Version (Original by toodegrees)This indicator is a modified study version of the ICT Algorithmic Macro Tracker by toodegrees, based on the original open-source script available at The original indicator plots ICT Macro windows on the chart, corresponding to specific time [ periods when the Interbank Price Delivery Algorithm undergoes checks/instructions (aka "macros") for the price engine to reprice to an area of liquidity or inefficiency. This study version adds functionality to hide bars outside macro periods. When enabled, the indicator draws boxes that cover the full chart height during non-macro periods, obscuring those bars so only macro periods are visible. This helps focus on macro-only price action. The feature is configurable, allowing users to enable or disable it and customize the box color. All original functionality remains intact.
Pine Script®指標
由tristanlee85提供
VCAI Volume & Liquidity Map LiteVCAI Volume & Liquidity Map Lite visualises recent market participation using a horizontal liquidity/volume histogram plotted beside current price. It shows where trading activity has clustered, where the chart is thin, and how much of that activity came from buying vs selling pressure. This Lite edition keeps the tool simple and fast: Yellow = buy-side volume (aggressive buyers / upward pressure) Purple = sell-side volume (aggressive sellers / downward pressure) Thicker sections = higher traded volume at that price POC line (purple) marks the price with the highest volume concentration Value Area lines (yellow dashed) mark where ~70% of volume has traded Bars extend outward to the right of price for a clean, unobstructed chart Lookback setting controls how many candles the map is built from Use it to quickly identify: high-interest price zones low-liquidity areas where price can move fast likely reaction levels where momentum may slow, reverse, or break through Designed as a lightweight, open-source tool for anyone wanting a clean liquidity/volume map without complex settings. Part of the VCAI Lite Series.
Pine Script®指標
由Vectorcoresai提供
Unmitigated MTF High Low - Cave Diving Plot IntroductionThe Unmitigated MTF High Low - Cave Diving Plot is a multi-timeframe (MTF) indicator designed for NQ and ES futures traders who want to identify high-probability entry and exit zones based on unmitigated price levels. The "Cave Diving" visualization helps you navigate between support (floor) and resistance (ceiling) zones, while the integrated Strat analysis provides directional context. Who Is This For? Futures traders (NQ, ES) trading during ETH and RTH sessions Scalpers and day traders looking for precise entry/exit levels Traders using The Strat methodology for directional analysis Anyone seeking confluence between price action and key levels Core Concepts 1. Unmitigated Level: An unmitigated level is a price high or low that has been created but not yet tested (touched) by price. These levels act as magnets - price often returns to test them.Key Properties: Resistance (Highs): Price has created a high but hasn't revisited it Support (Lows): Price has created a low but hasn't revisited it Mitigation: When price touches a level, it becomes "mitigated" and loses strength 2. The Cave Diving MetaphorThink of trading as cave diving between two zones: ┌─────────────────────────────────┐ │ CEILING (Upper Band) │ ← 1st & 2nd Unmitigated Highs │ 🟥 Resistance Zone │ ├─────────────────────────────────┤ │ │ │ THE TUNNEL │ ← Price navigates here │ (Trading Channel) │ │ │ ├─────────────────────────────────┤ │ 🟢 Support Zone │ │ FLOOR (Lower Band) │ ← 1st & 2nd Unmitigated Lows └─────────────────────────────────┘ Trading Concept: Ceiling: Formed by the 1st and 2nd most recent unmitigated highs Floor: Formed by the 1st and 2nd most recent unmitigated lows Tunnel: The space between ceiling and floor where price operates Cave Diving: Navigating between these zones for entries and exits 3. Session-Based Age TrackingLevels are tracked by session age: Session: 6:00 PM to 5:00 PM NY time (23-hour window) Age 0: Created in the current session (today) Age 1: Created 1 session ago (yesterday) Age 2+: Older levels (more significant) Why Age Matters: Older unmitigated levels are typically stronger magnets Fresh levels (Age 0) may be weaker and easier to break Age 2+ levels often provide high-probability reversal zones Indicator Components Visual Elements 1. Colored Bands (Cave Zones)Upper Band (Pink/Maroon - 95% transparency) Space between 1st and 2nd unmitigated highs Acts as resistance zone Price often hesitates or reverses here Lower Band (Teal - 95% transparency) Space between 1st and 2nd unmitigated lows Acts as support zone Price often finds buyers here 2. Information Table Located in your chosen corner (default: Bottom Right), the table displays: 5 most recent unmitigated highs (top section) Tunnel row (middle separator) 5 most recent unmitigated lows (bottom section) Reading the TableTable Structure ┌────────┬──────────┬────────┬───────┐ │ Level │ $ │ Points │ Age │ ├────────┼──────────┼────────┼───────┤ │ ↑↑↑↑↑ │ 21,450.25│ +45.30 │ 3 │ ← 5th High (oldest) │ ↑↑↑↑ │ 21,425.50│ +32.75 │ 2 │ ← 4th High │ ↑↑↑ │ 21,410.00│ +25.00 │ 1 │ ← 3rd High │ ↑↑ │ 21,400.75│ +18.50 │ 1 │ ← 2nd High │ ↑ │ 21,395.25│ +12.00 │ 0 │ ← 1st High (newest) ├────────┼──────────┼────────┼───────┤ │ Tunnel │ 🟢 │ Δ 85.50│ 2U │ ← Current State ├────────┼──────────┼────────┼───────┤ │ ↓ │ 21,310.00│ -15.25 │ 0 │ ← 1st Low (newest) │ ↓↓ │ 21,295.50│ -22.75 │ 1 │ ← 2nd Low │ ↓↓↓ │ 21,280.25│ -30.00 │ 1 │ ← 3rd Low │ ↓↓↓↓ │ 21,265.75│ -38.50 │ 2 │ ← 4th Low │ ↓↓↓↓↓ │ 21,250.00│ -45.00 │ 3 │ ← 5th Low (oldest) └────────┴──────────┴────────┴───────┘Column Breakdown Column 1: Level (Arrows) Green arrows (↑): Resistance levels above current price Red arrows (↓): Support levels below current price Arrow count: Indicates recency (1 arrow = newest, 5 arrows = oldest) Why This Matters: More arrows = older level = stronger magnet for price Column 2: $ (Price) Exact price of the unmitigated level Use this for limit orders and stop placement Column 3: Points (Distance) Positive (+) for highs: Points above current price Negative (-) for lows: Points below current price Helps gauge proximity to key levels Trading Application: If you're +2.50 points from resistance, a reversal may be imminent If you're -45.00 points from support, you're far from the floor Column 4: Age (Sessions) Number of full 6pm-5pm sessions the level has survived Age 0: Created today (current session) Age 1+: Created in previous sessions Significance Ladder: Age 0: Weak, may break easily Age 1-2: Medium strength Age 3+: Strong, high-probability reaction zone Tunnel Row (Critical Information)│ Tunnel │ 🟢 │ Δ 85.50│ 2U │ └─┬─┘ └─┬─┘ └──┬──┘ └─┬─┘ │ │ │ │ Label Direction Range Strat 1. Tunnel Label: Identifies the separator row 2. Direction Indicator (🟢/🔴) 🟢 Green Circle: Current 15m bar closed bullish (above previous close) 🔴 Red Circle: Current 15m bar closed bearish (below previous close) 3. Δ (Delta/Range) Distance in points between 1st High and 1st Low Shows the tunnel width (trading range) Example: Δ 85.50 = 85.50 points between ceiling and floor Trading Use: Wide tunnel (>100 points): More room to trade, consider range strategies Narrow tunnel (<50 points): Tight range, expect breakout 4. Strat Pattern 1: Inside bar (consolidation) 2U: 2 Up (bullish directional bar) 2D: 2 Down (bearish directional bar) 3: Outside bar (expansion/volatility) Color Coding: Green: 2U (bullish) Red: 2D (bearish) Yellow: 3 (expansion) Gray: 1 (inside/neutral)
Pine Script®指標
由DeLeBlanc提供
3
Imbalance Heatmap (Free) – pc75A clean, efficient visualisation of liquidity voids, 3-bar imbalances, and price inefficiency zones. This indicator highlights where the market left gaps in the order flow — areas price often revisits to rebalance. Imbalances are displayed as stacked horizontal “heatmap strips,” making it easy to see: Where aggressive buying/selling left a void Whether multiple voids overlap (stronger zones) Whether price is likely to return to fill the imbalance How old a void is (older zones are marked differently) This is a refined v6 rewrite based on a script I liked, completely modernised with cleaner logic, better performance, and optional labels. 🔍 Features 3-bar liquidity void detection (ICT-style logic) Bullish imbalance when price displaces upward with no wick overlap Bearish imbalance for downward displacement ✔ Heatmap-style visualisation Each imbalance is sliced into multiple thin horizontal bands to create a visual density effect. ✔ Stacking intelligence If a new void overlaps previous ones, the heatmap is drawn brighter, showing areas where the market left multiple inefficiencies. ✔ “Void xN” labels Optional labels show how many overlapping voids existed at the moment the imbalance formed. ✔ Automatic deletion when filled As soon as price trades back through a slice, that slice is removed. This keeps the chart clean and focuses only on active inefficiencies. ✔ Smart ageing Older voids are marked with a subtle border so you can distinguish freshly formed inefficiencies from historical ones. ✔ Alerts Set alerts for when price taps a stacked imbalance zone (“Void x2” and above). ⚙ Inputs & Customisation ATR threshold (optional) Minimum tick size gap Number of heatmap slices Bullish / bearish toggles Label toggles Colour and transparency configuration Max slice memory for performance 💡 How to Use Imbalance zones often behave as: Magnets → price gravitates toward them Support/resistance → structure respects inefficiencies Continuity points → used with market structure shifts Targets → for both scalpers and swing traders Strong (stacked) voids typically represent areas of institutional displacement, where the market is more likely to return for rebalancing. 📢 Notes This is the free version. Educational only — not financial advice.
Pine Script®指標
由pc75提供
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow. The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks). 🔹 Features 🔸 Dynamic Lookback with Decay - The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback. - Higher decay keeps more history; lower decay emphasizes the most recent flow. - The profile continuously adapts as new bars are printed. 🔸 Price-Bucketed Flow Map Each bucket accumulates: - Sell Flow (sell pressure) - Buy Flow (buy pressure) - Stealth Flow (low-volume price movement) - Box width at each bucket is proportional to the relative intensity of that component. 🔸 Stealth Flow (Low-Volume Price Movement) - Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume. - Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions. 🔸 POC & 70% Value Area (VA) - Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback. - Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included. - POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area. 🔸 Market Profile Shape Detection Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution. Classifies structure as: - D-Shape (Balanced) - P-Shape (Short Covering) - b-Shape (Long Liquidation) - B-Shape (Double Distribution) Displays a shape label with color coded bias for quick auction context interpretation. 🔸 Imbalance Zones & Absorption Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio. Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume. Extends these levels into horizontal zones, marking potential support/resistance and trap areas. Bullish Imbalance Zone : Bearish Imbalance Zone : Absorption Zone : 🔸 Range Context & On-Chart Legend Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count. A bottom-right legend summarizes: - Color keys for Buy / Sell / Stealth - POC / VA status - Bullish vs. Bearish dominance percentage - Profile shape classification - Imbalance and Absorption conventions 🔹 Calculations 1. Dynamic Lookback & Price Buckets int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory) float priceHigh = ta.highest(high, N) float priceLow = ta.lowest(low, N) float bucketSize = (priceHigh - priceLow) / bucketCount The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information. 2. Exponentially Decayed Volume Allocation addValue(array profile, float weight, float minPrice, float maxPrice) => for j = 0 to bucketCount - 1 float bucketMin = priceLow + j * bucketSize float bucketMax = bucketMin + bucketSize float overlapMin = math.max(minPrice, bucketMin) float overlapMax = math.min(maxPrice, bucketMax) float overlapRange = overlapMax - overlapMin if overlapRange > 0 profile.set(j, profile.get(j) * decayFactor + weight * overlapRange) This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint. 3. POC and 70% Value Area array totalProfile = array.new(bucketCount, 0) for j = 0 to bucketCount - 1 float total = sellProfile.get(j) + buyProfile.get(j) totalProfile.set(j, total) if total > eaMax eaMax := total int pocIdx = 0 float pocVal = 0.0 for j = 0 to bucketCount - 1 if totalProfile.get(j) > pocVal pocVal := totalProfile.get(j) pocIdx := j float totalSum = totalProfile.sum() float targetSum = totalSum * 0.70 int vaLow = pocIdx int vaHigh = pocIdx float currentSum = pocVal while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1) float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0 float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0 First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value. To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded. 4. Market Profile Shape Classification float volTopThird = 0.0 float volMidThird = 0.0 float volBotThird = 0.0 int thirdIdx = int(bucketCount / 3) for j = 0 to bucketCount - 1 float val = totalProfile.get(j) if j < thirdIdx volBotThird += val else if j < thirdIdx * 2 volMidThird += val else volTopThird += val float totalVolShape = totalProfile.sum() string shapeStr = "D-Shape (Balanced)" if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50) shapeStr := "B-Shape (Double Dist)" else if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3 shapeStr := "P-Shape (Short Covering)" else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3 shapeStr := "b-Shape (Long Liquidation)" else shapeStr := "D-Shape (Balanced)" The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure. 5. Imbalances, Absorption & Zones bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio) bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio) float volRatio = eaMax > 0 ? tVal / eaMax : 0 float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0 bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25 if showImbZone if isSellImb zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) if isBuyImb zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) if isAbsorp zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...)) Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side. Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas. 6. Building Buy, Sell & Stealth Profiles sellProfile := array.new(bucketCount, 0) buyProfile := array.new(bucketCount, 0) stealthProfile := array.new(bucketCount, 0) Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile. Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
Pine Script®指標
由UnknownUnicorn113699460提供
2
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades Made with my Senior Level AI Pine Script v6 coding bot for the community! Narrative Overview Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart. Purpose & Scope OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual. Core Analytical Pillars 1. Social Pulse Engine Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default). Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags. EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow. Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts). 2. Peer Momentum Heatmap Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default. Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3. Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space. Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks. 3. Trend & Displacement Framework Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture. HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction. Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids. ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes. 4. Intelligent Fair Value Gap (FVG) System Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default). Overlap Prevention: Price-range checks stop redundant boxes. Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse. Storage Caps: Max three FVGs per side unless the user widens the limit. Session Awareness: Kill zone filters keep taps focused on London/NY if desired. Auto Cleanup: Boxes delete when price closes beyond their invalidation level. 5. VWAP Magnet + Liquidity Raid Engine Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences. Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools. Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps. Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid. 6. Session Range Breakout System Initial Balance Tracking: First N bars (15 default) define the session box. Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum. Z-Score Volume Filter: >1.5σ by default to filter noisy moves. 7. Lifestyle Liquidity Scanner Volume Z-Scores: 50-bar baseline highlights statistically significant spikes. Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation. Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size. 8. Risk Matrix & Diagnostic HUD HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references. Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string. Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent. Signal Families & Alerts Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”. Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels. Local FVG: Captures local reversals when HTF bias has not flipped yet. VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers. Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers. Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline. Visual Design & Customization Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255). Stylized Candles: Optional overlay using theme colors. Signal Toggles: Independently enable markers, heatmap, and diagnostics. Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap. Customization & Workflow Notes Adjust ATR/FVG thresholds when volatility shifts. Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise. Reposition the HUD by editing the `table.new` coordinates. Use multiples of the chart timeframe for HTF requests to minimize load. Session inputs accept exchange-local time; align them to your market. Performance & Compliance Pure Pine v6: Single-line statements, no `lookahead_on`. Resource Safe: Arrays trimmed, boxes limited, `request.security` cached. Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic. Runtime Safety: Arrays/loops guard against `na`. Use Cases Measure when social sentiment aligns with structure. Plan ICT-style intraday rebalances around session-specific FVG taps. Fade VWAP raids when displacement shows exhaustion. Watch initial balance breaks backed by statistical volume. Keep risk/target references anchored in ATR logic. Signal Logic Snapshot Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through. Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`. Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped. VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`. Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks. Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows. Session Logic & VWAP Handling Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true. Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant. Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts. Parameter Reference Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`. Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`. Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`. VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`. FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`. Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`. Workflow Recipes Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering. VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions. Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price. Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after. Metadata Author: officialjackofalltrades Platform: TradingView (Pine Script v6) Category: Sentiment + Liquidity Intelligence Hope you Enjoy!
Pine Script®指標
由officialjackofalltrades提供
Vietnamese Stock: Discount Linear Regression Liquidity GrabThe Discount Linear Regression Liquidity Grab is a sophisticated technical analysis tool that combines statistical trend analysis with Premium/Discount Zone and Price Action logic. Unlike standard Linear Regression Channels that repaint or stretch indefinitely, this indicator is dynamic: it automatically detects volatility breakouts to "reset" the channel, creating distinct market "Sections." This tool is designed to help traders identify trend exhaustion, fair value gaps (FVGs), and high-probability reversal or continuation zones using two distinct built-in strategies. Key Features 1. Dynamic Channel Resets The core engine calculates a Linear Regression Channel based on a Pearson R coefficient and Deviation multipliers. - How it works: When price breaks out of the Upper or Lower Deviation bands, the script recognizes a shift in momentum. It "locks" the previous channel and begins calculating a new one from the breakout point. - Benefit: This creates a historical map of market structure, showing you exactly where previous trends began and ended. 2. Smart Money Concepts (SMC) Integration For every completed section (channel), the indicator automatically highlights: Highest High & Lowest Low Boxes: Identifies the structural range of the previous move. - Gaps & FVGs: Automatically draws boxes for Fair Value Gaps and Price Gaps within the channel, acting as potential magnets for price. 3. The Discount Zone (New Feature) The indicator projects a Discount Area (Red Box) from the previous section's midline down to its lowest low. - Logic: This box represents the "Discount" pricing relative to the previous move. - Behavior: The box extends to the right until price successfully "grabs liquidity" (closes below the midline/red line). Once the grab occurs, the box stops extending, marking that the liquidity event is complete. Built-In Strategies This indicator includes two automated strategy signals based on the interaction between current price and historical sections. Strategy 1: Breakout & Retest (Trend Continuation) This strategy looks for a classic resistance-turned-support setup. - Breakout: Price closes above the Highest High of a previous section (Triangle Up). - Retest: Price pulls back and closes at or below that breakout level (Triangle Down). - Confirmation: Price breaks above the high of the initial breakout candle (Green Background). Strategy 2: Midline Reclaim (Mean Reversion / Discount Buy) This strategy focuses on buying from the "Discount" zone. - Liquidity Grab: Price drops below the Midline (Red Line) of a previous section, entering the Discount Zone. - Reclaim: Price closes back above the Midline, signaling that the dip was bought up. Signal: A Diamond shape and Teal Background appear. How to Use - Trend Trading: Use the Dynamic Channels to visualize the current slope. If the channel is angling up, look for long setups. - Confluence: Use the Discount Zones and FVG boxes as areas of interest. If price enters a Red Discount Box and forms a reversal pattern, it is a high-probability entry. - Stop Loss Placement: The Lowest Low boxes of previous sections serve as excellent invalidation points for long positions. Alerts The indicator comes with pre-configured alerts for: - Strategy 1 Confirmation. - Strategy 2 Midline Reclaim. - New Channel Formation (Trend Reset). - Liquidity Grab Events.
Pine Script®指標
由doqkhanh提供
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes. The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning. 🟢 Key Features 1. Liquidity Zone Heatmap The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting. ▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading). ▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread. ▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas. ▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders. 2. Thermal Color Gradient The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance. ▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance). ▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely. ▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences. 3. Liquidity Heat Thermometer An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price. ▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price. ▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area. ▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability. 🟢 Practical Applications ▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep. ▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels. ▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops. ▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width. ▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
Pine Script®指標
由QuantAlgo提供
2
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes. The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation. The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction. This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as: * the first-hour high and low of the futures session * the exact session open level * an anchored VWAP starting at the session open * automated expansion levels projected from the Open Box In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework. Core Features Open Box (Session Structure) The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics. How it works: * At the session open, the indicator calculates the high and low over the specified time window. * This range is plotted as the initial structure of the session. * Price behaviour at the boundaries can illustrate emerging bias or potential trap formation. * An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision. Inputs / Options: * Session specifications (Tokyo, London, New York) * Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length) * Open Box colour and label settings * Formatting options for Open Box high and low lines * Optional secondary range per session (e.g., 15-minute high/low) * Forward extension of Open Box high/low lines * Number of historic Open Boxes to display Session VWAPs The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions. How it works: * At each session open, a VWAP is anchored to the open price. * The VWAP updates throughout the session as new volume and price data arrive. * Deviations above or below the VWAP may indicate balance, imbalance, or directional control. * Viewed together, session VWAPs help identify transitions in value across sessions. Inputs / Options: * Enable or disable VWAP per session * Adjustable anchor and end times (optionally to end of day) * Line styling and label settings * Number of historic VWAPs to draw First Hour High/Low Extensions The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour. How it works: * After the session starts, the indicator records the highest and lowest prices during the first hour. * These levels are plotted and extended across the session. * They provide a visual reference for observing reactions, targets, or rejection zones. Inputs / Options: * Enable or disable for each session * Line style, colour, and label visibility * Number of historic sessions displayed EQO Levels (Equity Open) The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control. How it works: * At session open, the open price is recorded. * The level is plotted as a local reference. * If price interacts with the level after the Open Box completes, the line is cut. * Untested EQOs extend forward until interacted with. Inputs / Options: * Enable/disable per session * Line style and label settings * Optional extension into the next day * Option for cutting vs. hiding on revisit * Number of historic sessions displayed OB Range Expansions (Automatic) Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session. How it works: * After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected. * These expansion levels are plotted above and below the range. * Price reactions near these areas can illustrate continuation, hesitation, or potential reversal. Inputs / Options: * Enable or disable per session * Select number of multiples * Line style, colour, and label settings * Extension length into the session Stacey Burke 12-Candle Window Marker The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur. How it works: * A configurable window (default 12 candles) is highlighted from each session open. * This window acts as a guide for observing active session behaviour. * It remains visible throughout the session for structural context. Inputs / Options: * Enable/disable per session * Configurable window duration (default: 3 hours) * Colour and transparency controls Concept and Integration The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions. The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow: * Higher timeframes: context, bias, and developing setups * TrendPredator OB: intraday and intra-session structure * TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches) This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour. See the public open source indicator TP FO here (click on it for access): Practical Application Before Session Open * Review previous session Open Box, Open level, and VWAPs * Assess how higher-timeframe bias aligns with potential intraday continuation or reversal * Note untested EQO levels or VWAPs that may function as liquidity attractors During Session Open * Observe behaviour around the first-hour high/low and higher-timeframe reference levels * Monitor how the M15 and 30-minute ranges close * Track reactions relative to the session open level and the session VWAP After the Open Box completes * Assess price interaction with Open Box boundaries and first-hour levels * Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation * Refer to expansion levels as reference zones for management or target setting After Session * Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones * Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move Example Workflow and Trade 1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context). 2. The New York session forms an Open Box; price breaks above and holds above the first-hour high. 3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry. 4. 1x expansion level serves as reference targets for take profit. Relation to the TrendPredator Ecosystem The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across: * higher-timeframe context and setups * intraday and session structure (OB) * microstructure confirmation (FO) Together, these modules offer a unified structure for analysing how daily and intraday cycles interact. Disclaimer This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
Pine Script®指標
由TC888提供
The 'Qualified' POI Scorer [PhenLabs]📊 The “Qualified” POI Scorer (Q-POI) Version: PineScript™ v6 📌 Description The “Qualified” POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary “Quality Score” (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups. 🚀 Points of Innovation Dynamic “Glass UI” Transparency that automatically fades weak zones based on their score. Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors. Visual Icon System that prints analytical context (💧— 🚀/🐌—🧱) directly on the chart. Automated Mitigation Tracking that changes the visual state of zones after they are tested. Displacement Velocity calculation using ATR to verify institutional intent. 🔧 Core Components Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing. FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap. Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR). 🔥 Key Features Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable). State Management: Zones turn grey when mitigated and delete themselves when invalidated. Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making. Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones. 🎨 Visualization High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability. Medium Score Zones (50-79): Display as translucent “glass” boxes. Low Score Zones (<50): Display as faint “ghost” boxes or are completely hidden. Rocket Icon (🚀): Indicates high momentum displacement. Snail Icon (🐌): Indicates low momentum displacement. Drop Icon (💧): Indicates the zone swept liquidity. Brick Icon (🧱): Indicates the zone is supported by an FVG. 📖 Usage Guidelines Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points. ATR Length (Default: 14): Determines the lookback period for calculating relative momentum. Minimum Quality Score (Default: 50): The threshold for which zones are considered “valid” enough to be fully visible. Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score. Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check. ✅ Best Use Cases Filtering noise during high-volatility sessions by focusing only on Score 80+ zones. Confirming trend continuation entries by looking for the Rocket (🚀) momentum icon. Avoiding “stale” zones by ignoring any box that has turned grey (Mitigated). ⚠️ Limitations The indicator is reactive to closed candles and cannot predict news-driven spikes. Scoring is based on technical structure and does not account for fundamental drivers. In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement. 💡 What Makes This Unique It transforms subjective SMC analysis into an objective, quantifiable score. The visual hierarchy allows traders to assess chart quality in milliseconds without reading data. It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool. 🔬 How It Works Step 1: The script identifies a Swing High or Low based on your length input. Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement. Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum). Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons. 💡 Note: For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
Pine Script®指標
由PhenLabs提供
Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback. 🟠 CONCEPTS The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped. 🟠 FEATURES Liquidity tracking: marks swing highs/lows and updates them until expiry Liquidity sweep confirmation when CISD aligns with recent mitigations Alert conditions for all key events: mitigations, CISDs, and strong CISDs 🟠 USAGE Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep. Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend. Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Pine Script®指標
由AlgoAlpha提供
38
Coinbase Premium Index (Custom Tickers)📊 Coinbase Premium Index (Auto Symbol Support) 1. Overview The Coinbase Premium Index is a widely used indicator to gauge the sentiment difference between US institutional investors (Coinbase Pro) and global retail/futures traders (Binance). This script calculates the percentage difference between the Coinbase (USD pair) price and the Binance (USDT pair) price. 2. Key Features 🔄 Auto Symbol Matching (New): You no longer need to manually change tickers when switching charts. If you are looking at a SOL/USDT chart, the indicator automatically detects "SOL" and compares COINBASE:SOLUSD vs BINANCE:SOLUSDT. 🛠 Manual Mode: Includes a manual override option if you wish to compare specific fixed tickers (e.g., strictly BTC). 🎨 Dynamic Visuals: Histogram: Color-coded bars (Green/Red) indicate positive or negative premiums. Smart Label: Displays the real-time premium value on the chart. The label color adapts to the trend, and hovering over it shows a Tooltip confirming exactly which tickers are being compared. 3. How to Interpret The premium indicates the flow of funds and buying pressure: 🟢 Positive Premium (Green Bar): Coinbase Price > Binance Price Interpretation: Strong buying pressure from US institutions or spot whales. Often considered a Bullish signal. 🔴 Negative Premium (Red Bar): Coinbase Price < Binance Price Interpretation: Strong selling from US investors, or overheated buying in the offshore futures market (Binance). Often considered a Bearish or mean-reversion signal. 4. Settings Guide Ticker Mode: Auto (Current Chart): Automatically sets the comparison based on your current chart's base currency (Recommended). Manual (Custom): Uses the specific tickers defined in the manual input fields below. Manual Inputs: Enter tickers here if using Manual Mode (Default: COINBASE:BTCUSD vs BINANCE:BTCUSDT). Bar & Label Settings: Customize colors, transparency, and the vertical position (Y-Offset) of the data label to fit your chart layout.
Pine Script®指標
由BIGTAKER提供
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
Pine Script®指標
由BackQuant提供
Smart Margin Zone SMART MARGIN ZONE - CME-BASED SUPPORT & RESISTANCE INDICATOR TITLE FOR PUBLICATION: Smart Margin Zone - CME Margin-Based Support and Resistance CATEGORY: Support and Resistance SHORT DESCRIPTION (for preview): Automatically plots margin zones based on CME Group requirements. These zones represent critical price levels where leveraged traders face margin calls, creating natural support and resistance through forced liquidations. ═══════════════════════════════════════════════════════════════ FULL DESCRIPTION FOR TRADINGVIEW: ═══════════════════════════════════════════════════════════════ 📊 Smart Margin Zone - Professional Trading Zones Based on CME Data This indicator automatically calculates and displays margin zones derived from official CME Group margin requirements. These zones represent critical price levels where traders using leverage receive margin calls, triggering forced position closures that create natural support and resistance levels. ═══════════════════════════════════════════════════════════════ 🎯 CORE CONCEPT ═══════════════════════════════════════════════════════════════ When price reaches calculated margin zones, traders using 2:1 or 4:1 leverage on CME futures receive margin calls. Brokers automatically liquidate these positions, creating waves of buying or selling pressure that form strong support and resistance levels. This is not theoretical - it's based on actual margin requirements from CME Group, the world's largest derivatives marketplace. ═══════════════════════════════════════════════════════════════ 📐 CALCULATION METHODOLOGY ═══════════════════════════════════════════════════════════════ The indicator uses the following formula to calculate zone sizes: Zone Size = (Margin Requirement / Tick Value) × Tick Size × 1.10 Where: • Margin Requirement = Official CME initial margin (updated November 2024) • Tick Value = Dollar value of minimum price movement • Tick Size = Minimum price increment • 1.10 = 10% buffer for realistic zone width SUPPORTED INSTRUMENTS WITH CME DATA: Currency Pairs: • EURUSD: $2,100 margin → 0.0168 zone size • GBPUSD: $1,800 margin → 0.0144 zone size • AUDUSD: $1,300 margin → 0.0065 zone size • NZDUSD: $1,100 margin → 0.0055 zone size • USDJPY: $3,200 margin → custom calculation • USDCAD: $950 margin → calculated • USDCHF: $1,650 margin → calculated Commodities: • Gold (XAUUSD): $8,000 margin → 80 points zone size • Silver (XAGUSD): $6,500 margin → calculated • WTI Crude Oil: $4,500 margin → calculated ═══════════════════════════════════════════════════════════════ 🔍 HOW IT WORKS ═══════════════════════════════════════════════════════════════ 1. SWING POINT DETECTION The indicator automatically identifies swing highs and swing lows using a configurable lookback period (default 10 bars). These become anchor points for zone calculations. 2. FIVE ZONE LEVELS From each swing point, five zone levels are calculated: • Zone 1/4 (25%) - First correction level • Zone 1/2 (50%) - KEY ZONE for trend determination • Zone 3/4 (75%) - Intermediate level • Zone 1/1 (100%) - Full margin zone (strongest level) • Zone 5/4 (125%) - Extended zone 3. TREND IDENTIFICATION • Close above Zone 1/2 resistance = Bullish trend • Close below Zone 1/2 support = Bearish trend • Between zones = Range/consolidation 4. HISTORICAL CONTEXT Current zones are displayed prominently with fills and labels. Historical zones appear as thin, semi-transparent lines for context without cluttering the chart. ═══════════════════════════════════════════════════════════════ ⚙️ FEATURES ═══════════════════════════════════════════════════════════════ AUTOMATED CALCULATION: ✅ Auto-detection of swing highs and lows ✅ Real-time zone updates as new swings form ✅ CME margin data built-in for major instruments ✅ Manual override option for custom calculations VISUAL CLARITY: ✅ Color-coded zones (red=resistance, green=support) ✅ Adjustable transparency for fills and lines ✅ Current zones bold with fills and price labels ✅ Historical zones thin and transparent ✅ Swing point markers show calculation origins CUSTOMIZATION: ✅ Show/hide individual zone levels (1/4, 1/2, 3/4, 1/1, 5/4) ✅ Toggle historical zones on/off ✅ Adjustable lookback period (5-50 bars) ✅ Customizable colors for all elements ✅ Line width and transparency controls ✅ Zone extension options (none/right/both) TREND ANALYSIS: ✅ Optional trend background coloring ✅ Customizable trend colors and transparency ✅ Real-time trend identification display STATISTICS: ✅ Live statistics table showing: - Current instrument - Active zone size - Calculation mode - Current trend direction - Number of zones displayed ALERTS: ✅ Zone 1/2 breakout (up/down) ✅ Full margin zone 1/1 reached ✅ Customizable alert messages ═══════════════════════════════════════════════════════════════ 📈 TRADING APPLICATIONS ═══════════════════════════════════════════════════════════════ ENTRY SIGNALS: • Bounces from zone levels = potential entry points • Zone 1/2 breakouts = trend continuation entries • Zone rejections = reversal opportunities RISK MANAGEMENT: • Zone levels = logical stop-loss placement • Zone 1/1 = maximum risk level • Zone spacing = position sizing guide PROFIT TARGETS: • Next zone level = first target • Zone 1/1 = full profit target • Zone breakouts = extended targets TREND CONFIRMATION: • Price above Zone 1/2 resistance = confirmed uptrend • Price below Zone 1/2 support = confirmed downtrend • Consolidation between zones = wait for breakout ═══════════════════════════════════════════════════════════════ 📚 USAGE INSTRUCTIONS ═══════════════════════════════════════════════════════════════ GETTING STARTED: 1. Add indicator to chart of any supported instrument 2. Zones automatically calculate and display 3. Adjust swing detection period if needed (default 10 works well) 4. Customize colors and visibility to your preference OPTIMAL SETTINGS: • Best timeframes: H1, H4, Daily, Weekly • Default swing length (10) suitable for most markets • Show 2-3 historical zones for context • Enable swing point markers to see calculation origins INTERPRETATION: • Watch for price reactions at zone boundaries • Strong bounces = respect for margin level • Clean breaks = momentum continuation • Multiple touches = zone strength confirmation SET ALERTS: • Zone 1/2 breakouts for trend entries • Zone 1/1 reaches for profit-taking • Custom alerts for your specific strategy ═══════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES ═══════════════════════════════════════════════════════════════ DATA ACCURACY: • CME margin requirements updated November 2024 • Margins change periodically - check CME Group website • Manual mode available for latest margin data • Indicator provides analysis tool, not financial advice STATISTICAL PERFORMANCE: • Historical data shows >60% probability of continued movement after Zone 1/2 breakout • Zone effectiveness varies by market conditions • Best results in trending markets with clear swings LIMITATIONS: • Margin requirements change - monitor CME updates • Works best on liquid instruments with clear swings • Not a standalone trading system • Should be combined with additional analysis ═══════════════════════════════════════════════════════════════ 🔧 METHODOLOGY CREDIT ═══════════════════════════════════════════════════════════════ This indicator is based on the margin zones concept developed by Alexander Bazylev (BTrade indicator for MetaTrader platforms). The TradingView implementation has been completely rewritten with original enhancements: • Multiple zone levels instead of single level • Automatic swing point detection algorithm • Direct CME data integration • Historical zone visualization • Advanced customization options • Comprehensive statistics and alerts All code is original and specifically designed for TradingView's Pine Script v5 environment. ═══════════════════════════════════════════════════════════════ 💡 BEST PRACTICES ═══════════════════════════════════════════════════════════════ COMBINE WITH: • Volume analysis for confirmation • Trend indicators for direction bias • Price action patterns at zones • Higher timeframe analysis AVOID: • Trading against strong trends at minor zones • Over-leveraging based solely on zone placement • Ignoring broader market context • Expecting perfect bounces every time OPTIMIZE: • Adjust swing length for different timeframes • Shorter period (5-7) for intraday trading • Longer period (15-20) for swing trading • Test historical effectiveness on your instruments ═══════════════════════════════════════════════════════════════ 📖 EDUCATIONAL VALUE ═══════════════════════════════════════════════════════════════ This indicator helps traders understand: • How institutional margin requirements affect price • Where forced liquidations create pressure • Natural support and resistance formation • Relationship between leverage and price levels • Market structure and key technical levels ═══════════════════════════════════════════════════════════════ 🔄 VERSION HISTORY ═══════════════════════════════════════════════════════════════ Version 1.0 (Initial Release): • CME-based zone calculation for 10 instruments • Automatic swing high/low detection • 5 zone levels with customizable display • Historical zones with transparency control • Swing point markers • Trend background indicator • Live statistics table • Multiple alert conditions • Fully customizable colors and styles • English language interface ═══════════════════════════════════════════════════════════════ 📞 SUPPORT & FEEDBACK ═══════════════════════════════════════════════════════════════ Questions or suggestions? Leave a comment below! If you find this indicator useful: ⭐ Please leave a like 💬 Share your experience in comments 🔔 Follow for updates and new indicators ═══════════════════════════════════════════════════════════════ ⚖️ DISCLAIMER ═══════════════════════════════════════════════════════════════ This indicator is provided for educational and analytical purposes only. It is not financial advice and should not be the sole basis for trading decisions. • Past performance does not guarantee future results • Trading involves substantial risk of loss • CME margin requirements subject to change • Always do your own research and risk management • Consult a financial advisor for investment advice The creator is not responsible for any trading losses incurred through use of this indicator.
Pine Script®指標
由Smart-Day-Trader提供
5
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector Version: PineScript™v6 📌 Description The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps. Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart. 🚀 Points of Innovation Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup 🔧 Core Components Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars 3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring 🔥 Key Features Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window 🎨 Visualization Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency) Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference 📖 Usage Guidelines Detection Settings Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100. Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection. Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions. Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon. Visual Settings Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility. High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color. Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart. Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems. ✅ Best Use Cases Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities ⚠️ Limitations Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed 💡 What Makes This Unique Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization 🔬 How It Works Phase 1: Real-Time Detection On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics Phase 2: Void Tracking & Qualification When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets Phase 3: 3D Visualization Construction Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength) Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones Creates optional center label and pushes all visual elements into arrays for memory management Phase 4: Memory Management & Display Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift() Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart 💡 Note: This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Pine Script®指標
由PhenLabs提供
Global M2 ex-China MonitorGlobal M2 Monitor - Ultimate Edition 🎯 OVERVIEW Advanced global M2 money supply monitoring indicator, offering a unique macroeconomic view of global liquidity. Real-time tracking of M2 evolution in major developed economies. 📊 KEY FEATURES Global M2 Aggregation : USA, Japan, Canada, Eurozone, United Kingdom Currency Conversion : All data converted to USD for consistent analysis High Resolution Display : Daily curve by default Technical Analysis : 50-period moving average (SMA/EMA/WMA) Accurate YoY Calculation : Annual variation based on monthly data Advanced Signal System : Multi-condition color codes 🎨 COLOR SYSTEM - DEFAULT SETTINGS 🟢 GREEN : YoY ≥ 7% AND M2 ≥ SMA → Strong growth + Bullish momentum 🔴 RED : YoY ≤ 2% AND M2 ≤ SMA → Weak growth + Bearish momentum 🟢 LIGHT GREEN : YoY ≥ 7% BUT M2 < SMA → Good fundamentals, temporarily weak momentum 🔴 LIGHT RED : YoY ≤ 2% BUT M2 > SMA → Weak fundamentals, price still supported 🔵 BLUE : YoY between 2% and 7% → Neutral zone of moderate growth 🇨🇳 WHY IS CHINA EXCLUDED BY DEFAULT? Chinese M2 data presents methodological reliability and transparency issues. Exclusion allows for more consistent analysis of mature market economies. Different M2 definition vs Western standards Capital controls affecting real convertibility Frequent monetary manipulations by authorities ✅ Available option : Can be activated in settings ⚙️ OPTIMIZED DEFAULT PARAMETERS // DISPLAY SETTINGS Candle Period: D (Daily) // MOVING AVERAGE MA Period: 50, Type: SMA // BACKGROUND LOGIC YoY Bullish: 7%, YoY Bearish: 2% SMA Method: absolute, Threshold: 0.2% // COLORS Transparency: 5% China M2: Disabled 📈 RECOMMENDED USAGE Traders : Anticipate sector rotations Investors : Identify abundant/restricted liquidity phases Macro-analysts : Monitor monetary policy impacts Portfolio managers : Understand inflationary pressures 🔍 ADVANCED INTERPRETATION M2 ↗️ + YoY ≥ 7% → Favorable risk-on environment M2 ↘️ + YoY ≤ 2% → Defensive risk-off environment Divergences → Early warning signals for trend changes 💡 WHY THIS INDICATOR? Global money supply is the lifeblood of the financial economy . Its growth or contraction typically precedes market movements by 6 to 12 months. "Don't fight the Fed... nor the world's central banks" 🛠️ ADVANCED CUSTOMIZATION All parameters are customizable: YoY bullish/bearish thresholds SMA comparison method (absolute/percentage) Colors and transparency Moving average period and type Optional China inclusion 📋 TECHNICAL INFORMATION YoY Calculation : Based on monthly data for consistency Sources : FRED, ECONOMICS, official data Updates : Real-time with publications Currencies : Updated exchange rates
Pine Script®指標
由Ox_kali提供
Liquidity & inducementsHi all! This indicator will show liquidity and inducements. I will continue to try to add different types of liquidity and inducements, at this moment it contains 6 kinds of liquidity/inducement, they are: • Grabs • Big grabs • Sweeps • Turtle soups • Equal highs/lows (liquidity and inducement) • BSL & SSL And 1 type of inducement: • Retracement This description will contain indicator examples of each individual liquidity and inducement. They will all be with the default settings. Settings First you will find settings for the market structure (BOS/CHoCH/CHoCH+). Select left and right pivot lengths and if the pivots should have a label or not. This is the base foundation of this indicator and is possible with my library 'PriceAction' (). You will see solid lines for break of structures (BOS), change of characters (CHoCH) and change of character plus (CHoCH+). The pivots found will be the core of this indicator and will show you when the closing price breaks it. When that happens a break of structure (BOS) or a change of character (CHoCH or CHoCH+) will be created. The latest 5 pivots found within the current trend will be kept to take action on. A break of structure is removed if an earlier pivot within the same trend is broken and the pivot's high price for a bullish trend or low price for a bearish trend is more extreme than the BOS pivot's price. You are able to show the pivots that are used. "HH" (higher high), "HL" (higher low), "LH" (lower high), "LL" (lower low) and "H"/"L" (for pivots (high/low) when the trend has changed) are the labels used. In the next section ('Liquidity ($$$)') you can select which types of liquidity you want to see. Note that 'Equal highs/lows' can also show inducement (more on that later). In the section afterwards ('Inducement (IDM)') you can select if you want retracement inducements to be visible or not. More information on what they are later on. The section for each individual liquidity and/or inducement can first contain a line named 'Pivot', where you can set the pivot lengths (first left, then right). Then you can set the 'Lookback', which means that the 'Lookback' number of past pivots is to take action on. After that you set the 'Timeframe' for the pivots used. That means that all available liquidity/inducements will be from your desired timeframe. Lastly you set the color of the liquidity/inducement (either a single color or bullish followed by bearish colors). Lastly in the settings you can select the font sizes for the market structure and liquidity/inducements and what style liquidity/inducements lines will have. The sizes defaults to 7 and has a dotted line look. Grabs Liquidity grabs and liquidity sweeps are very similar. It all depends on if the current bar closed above/below the liquidity pivot and on if its a continuation or reversal. In a liquidity grab the bar that's above or below the liquidity pivot was not closed above or below it. Like this: Or The visual feedback will be a dotted line between the liquidity pivot and liquidity grab bar and a linefill between the high of the liquidity grab bar and the liquidity pivot. Indicator example: Big grabs This is another 'grabs' option. You can show an additional grab if you want to. I suggest having this grab from a higher timeframe or with larger pivot lengths than the other grab. The default is with the chart timeframe and 10/10 as pivot lengths. Indicator example: Sweeps A liquidity sweep is like a liquidity grab but with the difference that price closes above/below and has a continuation instead of a reversal. If the liquidity pivot was at the same bar as a BOS/CHoCH/CHoCH+ it will not be a liquidity grab but a structural break instead. They can look like this: Indicator example; Turtle soups If only one candle is beyond the pivot it could be a liquidity grab. It's a grab if price didn't close beyond the liquidity pivot, if so it's invaliditet. Turtle soups are basically false breakouts that takes liquidity (is a false breakout from a pivot with the lengths and timeframe from the settings). The turtle soup can have a confirmation in the terms of a change of character (CHoCH). You can enable this in the settings section for 'Turtle soups' through the 'Confirmation' checkbox (enabled by default). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD). The addition of turtle soups is possible through my script 'Turtle soup' (). The drawing will be a dotted line between the liquidity pivot and the last bar of the false breakout and a box from the start of the false breakout to the end of it. Indicator example: Equal highs/lows Equal highs/lows will always show liquidity, but might also show inducement. Inducement will be shown on equal lows if the trend is bullish and on equal highs if it's bearish, like this: Or Equal highs can only be created if the second pivot is lower than the first one. Equal lows can only be created if the second pivot is higher than the first one. If that is not the case it could be a liquidity grab. When equal highs or equal lows are find that produces inducement (equal lows in a bullish trend and equal highs in a bearish trend), the indicator will first display inducement and will show liquidity once traders are induced to enter the security. Stop loss placement, for liquidity, is 0.1 * the average true range (ATR, of length 14). They will look like this: Only inducement: Inducement and liquidity: Indicator example: Equal highs/lows inducements can not be triggered after a BOS/CHoCH/CHoCH+. They are cleared upon a structural break. BSL & SSL Buyside liquidity (BSL) and sellside liquidity (SSL) will be shown. A pivot that's been mitigated (touched by price) can never be BSL or SSL. The BSL/SSL available will be dynamic while price moves (work in Replay and lower timeframes that moves fast) and pick the latest pivot/s (with left and right lengths from the 'Market structure' section). You can define how many BSL/SSL you want to see with a default value of 1, meaning only 1 BSL and 1 SSL can be shown. If there is no unmitigated high (BSL) or low (SSL), no BSL/SSL will be available to show. If there are BSL/SSL available they're very useful to use as targets for entering a trade. The will look like this when available; And without BSL available: Or And without SSL available: Note that the examples without BSL/SSL available could have liquidity available from previous price legs. This can be an example of a BSL/SSL sequence: First both buyside and sellside liquidity is available: Then a new low appears and new sellside liquidity is available: Then buyside liquidity is mitigated, so only sellside liquidity is available: A new high pivot appears and buyside liquidity is available again: Lastly a bearish CHoCH happens and sellside liquidity is mitigated, only buyside liquidity is available: Retracement The first retracement after a BOS/CHoCH/CHoCH+ is considered an inducement with the mission to get traders into a trade prematurely to get stopped out. This level is shown and look like this: Or A retracement inducement is removed when a new BOS/CHoCH/CHoCH+ appears and it's not triggered. --------------------------- As of now there aren't any alerts available. You cannot use the Pine Screener from Tradingview either to see new liquidity/inducement events. I have this planned for future updates though. I hope that this long description makes sense, let me know otherwise! Also let me know if you experience any bugs or have a feature request or just want to share good settings to use. Best of trading luck!
Pine Script®指標
由mickes提供
18