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스크립트에서 "liquidity"에 대해 찾기

Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure. ​Key Components: ​Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading. ​Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action. ​Smart Confluence Zones (Originality): ​The script calculates a background "State" based on multiple factors. ​Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA. ​Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA. ​This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned. ​█ How to Use ​Entry: Wait for a "Triangle" signal (Buy/Sell). ​Validation: Check the Background Color. Is it highlighting a Confluence Zone? ​Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup. ​Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution. ​Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
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THF84의
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.
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pc75의
ICT Quant-Core: Liquidity Intelligence [Dual-Engine]🔥 THE ULTIMATE LIQUIDITY FILTERING ENGINE Most SMC traders lose money because they "catch falling knives" on every local wick. This algorithm solves this problem by using DUAL-CORE logic and a signal quality scoring system. This is no ordinary pivot indicator. ⚙️ HOW DOES IT WORK? (DUAL-CORE LOGIC) The algorithm analyzes the market on two levels simultaneously: 1️⃣ MACRO CORE (Lookback 50 - "WHALE 🐋") Tracks key levels from recent weeks/months. This is where institutions build their positions. Signals from this core have the highest priority (Score 10/10). 2️⃣ LOCAL CORE (Lookback 20 - "ROACH 🐟") Tracks internal market structure and noise. Signals are filtered by the Main Trend. If the trend is down, Local Longs are marked as "TRAP." 🧠 SMART FILTERS (QUANT LAYERS) Instead of entering on every line touch, the script requires confirmation: ✅ RECLAIM LOGIC: Price must close back above/below the liquidity level (Swing Failure Pattern). ✅ RVOL FILTER: Requires relative volume > 1.2x the average (institutional track). ✅ SCORING SYSTEM (0-10): Each signal receives a score. - 10/10: Macro Grab in line with the trend + high volume. - 3/10: Local Grab against the trend (risky). 📊 ANALYTICAL DASHBOARD In the lower right corner, you'll find the "Command Center": - Trend Status (Distribution/Accumulation) - Whale's Last Move (Price and Direction) - Current Tactics (e.g., "Ignore Longs, Search for Shorts") - Filter Status (RSI, Volume, Reclaim) 🚀 HOW TO USE IT? 1. Set the H4 timeframe. 2. Wait for a signal with a rating > 7/10. 3. Ignore "Fish/Local" signals (small icons) if they contradict the Dashboard color. 4. Entry occurs only after the candle closes (Reclaim).
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TheMrD의
Bayesian Liquidity Pain & Gain [Instit. Vol Weighted]Bayesian Liquidity Pain & Gain Indicator Stop guessing where support and resistance are. The Bayesian Liquidity Pain & Gain indicator moves beyond arbitrary lines and raw price action. It quantifies Institutional Intent by calculating the exact price levels where large volume has been accumulated and visualizes the "Pain" (stress) those participants feel when the market moves against them. The Logic: Quantified Institutional Stress Institutions don't trade single candles; they accumulate positions over time. This indicator tracks their Volume-Weighted Average Cost Basis to answer two critical questions: Where did they enter? (The Cost Basis Lines) Are they underwater? (The Pain Clouds) By normalizing price distance using volatility (ATR) and statistical deviation (Z-Score), we filter out noise and only highlight zones where "Smart Money" is statistically forced to defend their positions or capitulate. How to Read the Chart 1. The Cost Basis Lines (Anchors) • 🟢 Green Line (Buyer Cost Basis): The average price where institutions accumulated long positions. This acts as dynamic Support. • 🔴 Red Line (Seller Cost Basis): The average price where institutions accumulated short positions. This acts as dynamic Resistance. 2. The Pain Clouds (Signals) When price moves significantly away from the cost basis (Z-Score > 2.0), "Clouds" appear to visualize the PnL status of the participants: • 🔴 Red Cloud (Buyer Pain): Price is below the buyer's entry. Buyers are losing money (in the red). This creates a "Discount" zone where they may defend support. • 🟢 Green Cloud (Seller Pain): Price is above the seller's entry. Sellers are losing money (shorts are squeezed). This indicates strong bullish momentum. 3. The Multi-Timeframe Dashboard A real-time HUD showing the Z-Score status across 4 timeframes (1m, 5m, 15m, 1h): • 🟢 Green: Profitable/Neutral (Trend Continuation) • 🟠 Orange: Warning (Pressure Building) • 🔴 Red: Critical Pain (High Probability Reversal) Trading Strategies Setup 1: The Defensive Bounce (Long) • Context: Price drops into a 🔴 Red Cloud (Buyer Pain). • Trigger: Price touches the 🟢 Green Line (Buyer Cost Basis) and shows a rejection wick. • Logic: Institutional buyers defend their cost basis to avoid realizing losses. Setup 2: The Short Squeeze (Momentum) • Context: Price rallies into a 🟢 Green Cloud (Seller Pain). • Trigger: Price holds above the 🔴 Red Line (Seller Cost Basis). • Logic: Short sellers are trapped and forced to buy back (cover), fueling the rally. Fractal Alignment: For high-conviction trades, wait for the Dashboard to show "Pain" signals on both the 1h (Anchor) and 5m (Trigger) timeframes simultaneously. Settings • Memory Length (Default 144): The lookback period for the institutional cost basis. Increase for swing trading, decrease for scalping. • Sigma Threshold (Default 2.0): The statistical confidence level for "Pain". Higher values = fewer, stronger signals. • Volume Amp: When enabled, high volume amplifies the pain signal, giving more weight to institutional footprints.
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nnfuzzy의
RoseTree BTC Macro LiquidityThis indicator identies good entry and exit points for Bitcoin by comparing its market cap to the total global M2 money supply, while also factoring in macroeconomic trends. Why It's Unique - Combines macro liquidity (M2) with BTC valuation. - Not price-based — more about where BTC stands in the bigger economic picture. - Useful for long-term, macro-aware investors looking for timing signals aligned with monetary expansion. ✅ Buy Signal (Green Triangle Below Bar) M2 is expanding (liquidity increasing), AND Bitcoin is undervalued compared to its historical relationship to M2 → Suggests potential upside, triggers a green triangle below the bar. ❌ Sell Signal (Red Triangle Above Bar) Bitcoin is significantly above its historical average share of M2 → Suggests overvaluation or a short-term top, triggers a red triangle above the bar. What is Global M2 Money Supply? (GLM2) M2 is a measure of money supply, including cash, checking deposits, and easily convertible near money. This indicator manually aggregates M2 values from numerous countries and converts them into USD equivalents using exchange rates. The countries include the US, EU, UK, China, India, Japan, Brazil, and many others — totaling over 20. This tells you how large Bitcoin is relative to the global money supply, giving a sense of its macroeconomic footprint or potential room to grow.
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ZackBakos의
Apex Trend & Liquidity Master with TP/SLThe Apex Trend & Liquidity Master is a systematic trading framework that identifies trend direction and key structural price levels for entry and exit decisions. The system uses a volatility-adaptive trend detection mechanism built on Hull Moving Averages with ATR-based bands to filter consolidation periods and isolate directional moves. The liquidity detection engine identifies potential reversal zones by marking swing highs and lows that meet statistical significance thresholds. These zones represent areas where institutional order flow previously caused price rejection. Zones remain active until price closes through them, indicating mitigation of the level. This implementation is an enhanced derivative of the original system with fully automated risk management. Stop losses are calculated using ATR multiples with entry candle wick protection as a minimum threshold, while take profits maintain a fixed 3:1 risk-reward ratio. An additional exit mechanism closes profitable positions when price reaches opposing supply or demand zones, providing early profit-taking at probable reversal points before full target completion. Entry signals generate only on trend changes when volume exceeds average levels, reducing false breakouts in ranging conditions. The system includes complete position tracking with three distinct exit types: take profit hits, stop loss hits, and profitable zone contact exits. All calculations use confirmed historical data with no forward-looking bias, though supply/demand zone identification operates with a confirmation lag inherent to pivot point detection.
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novaroma1의
1
[iQ]PRO Fractals in Dealing Range and Fib Levels+⚡️ PRO Combined Fractal & Dealing Range THEORY W QUADRANTS AND FIB LEVELS: Dynamic Price Structure Analysis The PRO Combined Fractal & Dealing Range indicator is a proprietary, cutting-edge market structure analysis tool designed to give serious traders a tactical edge by merging advanced Fractal-based wave detection with a sophisticated Dynamic Dealing Range system. This professional-grade utility provides a crystal-clear, multi-layered view of key supply and demand zones, trend reversals, and structural boundaries. Key Features & Proprietary Logic This indicator is built on two harmoniously integrated engines, providing a comprehensive view that goes far beyond standard technical analysis. 📈 Adaptive Fractal Wave Engine Our custom-tuned Fractal Engine employs a unique, multi-degree detection process to identify both Base Swings and Higher Degree Swings with unparalleled precision. Proprietary Period Calculation: The engine utilizes a specialized formula based on the Golden Ratio (ϕ) to determine a refined higher-degree lookback period: Period F ​ =floor(Period Base ϕ ​ ). This adaptive logic helps filter market noise and highlight only the most significant structural turning points. Dynamic Labeling: Automatically places visual markers on the chart to define confirmed Highs and Lows, simplifying the interpretation of market structure and potential directional shifts. 🎯 Dynamic Dealing Range System This core component provides a detailed, automatically calculated framework of critical price levels, serving as a roadmap for potential entries, targets, and risk management. Strategic Quadrant Mapping: Automatically establishes a significant Dealing Range based on a customizable lookback period, then divides it into four distinct Quadrants (Q1-Q4). These zones highlight areas of Premium, Equilibrium (Q2-Q3), and Discount, guiding trading decisions relative to the overall range. Advanced Level Detection: Fibonacci Retracement: Displays key Fibonacci levels (e.g., 50%, 61.8%, 78.6%) within a user-defined range, identifying high-probability reversal and reaction areas. Liquidity & Pivots: The indicator incorporates a proprietary Liquidity Detection Algorithm using adaptive pivot sensitivity to identify significant historical support and resistance zones. Inter-Timeframe Structure: Features a non-repainting method to display Important Highs/Lows (such as Monthly, Weekly, and Daily extremes) right on your current chart, bridging the gap between timeframes. Professional Trader Utility Clarity on Price Action: Instantly see the structure of the market and which direction the momentum is flowing based on the confirmed fractal swings. Actionable Alerts: Receive timely and precise alerts when price approaches critical psychological and structural levels, including the Quadrant boundaries and the highly reactive Fibonacci 0.618 level. Information at a Glance: A clean, professional table is displayed on the chart, summarizing the calculated range boundaries (Quadrant and Fibonacci Highs/Lows) for immediate reference. The PRO Combined Fractal & Dealing Range is an indispensable tool for traders focused on market structure, institutional price action, and trading within clearly defined ranges. It is designed to minimize subjectivity and maximize clarity on your TradingView chart. NO REPAINT ;)
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MarketMakerlQ의
Alpha Net Liquidity Hunter Alpha Net Liquidity Hunter is an advanced trading tool designed to help traders detect potential liquidity grabs, false breakouts, and high-probability reversal zones. Inspired by institutional concepts such as stop hunts and market structure shifts (MSS), this indicator analyzes price action across multiple timeframes to highlight areas where smart money may be entering or exiting the market. It also offers dynamic risk management tools like adaptive take-profit and stop-loss targets based on ATR, as well as visual entry/exit labels for clearer decision-making.
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DinhCaoCrypto의
Structural Liquidity ZonesTitle: Structural Liquidity Zones Description: This script is a technical analysis system designed to map market structure (Liquidity) using dynamic, volatility-adjusted zones, while offering an optional Trend Confluence filter to assist with trade timing. Concept & Originality: Standard support and resistance indicators often clutter the chart with historical lines that are no longer relevant. This script solves that issue by utilizing Pine Script Arrays and User-Defined Types to manage the "Lifecycle" of a zone. It automatically detects when a structure is broken by price action and removes it from the chart, ensuring traders only see valid, fresh levels. By combining this structural mapping with an optional EMA Trend Filter, the script serves as a complete "Confluence System," helping traders answer both "Where to trade?" (Structure) and "When to trade?" (Trend). Key Features: 1. Dynamic Structure (The Array Engine) Pivot Logic: The script identifies major turning points using a customizable lookback period. Volatility Zones: Instead of thin lines, zones are projected using the ATR (Average True Range). This creates a "breathing room" for price, visualizing potential invalidation areas. Active Management: The script maintains a memory of active zones. As new bars form, the zones extend forward. If price closes beyond a zone, the script's garbage collection logic removes the level, keeping the chart clean. 2. Trend Confluence (Optional) EMA System: Includes a Fast (9) and Slow (21) Exponential Moving Average module. Signals: Visual Buy/Sell labels appear on crossover events. Purpose: This allows for "Filter-based Trading." For example, a trader can choose to take a "Buy" bounce from a Support Zone only if the EMA Trend is also bullish. Settings: Structure Lookback: Controls the sensitivity of the pivot detection. Max Active Zones: Limits the number of lines to optimize performance. ATR Settings: Adjusts the width of the zones based on volatility. Enable Trend Filter: Toggles the EMA lines and signals on/off. Usage: This tool is intended for structural analysis and educational purposes. It visualizes the relationship between price action pivots and momentum trends.
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siddarth_banakar3의
3
Momentum Pulse Strategy v1How does this strategy work 1. It analyses current market condition based on moving averages and determines Bullish or Bearish market condition 2. Once we confirm the current market condition, we look for a specific type of candle that has taken the liquidity which is the C1 candle marked on chart 3. Next we look for failure of that liquidity and a candle that engulfs it which confirms the trade and automatically shows the entry,sl and take profits 4. We always enter on the next candle after confirmation which is confirmed by an arrow Guide Alerts for Bullish/Bearish market conditions, C1 and confirmation candle available Master alert for All the conditions also available. On and off also available for all the alert types All the visuals are customisable in settings Customisable take profit levels Entry is the Gold line. SL is the red line and green lines are the Tps Backtest the trades given by the indicator and to know the max drawdown based on the asset and timeframe For any other info contact me on tradingview
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Sigmatrades_99의
QuantFlow ProQuantFlow Pro QuantFlow Pro is an advanced institutional indicator designed to detect bias shifts, liquidity imbalances, and real-time flow transitions. Built on an adaptive architecture, it combines institutional flow analysis, multi-timeframe liquidity levels, and structural reference points to provide a clear and precise view of market dynamics. Unlike conventional indicators that repaint or produce noisy signals, QuantFlow Pro relies on robust calculations based on volume, delta imbalance, and the detection of structural dislocations. ⚙️ Optimized for Futures markets, QuantFlow Pro helps traders identify market turning points with institutional precision and consistent reliability over time.
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Tarik-fx의
4
Global Liquidity Tracker (Open Data)This indicator displays a global liquidity and money supply estimate (M2), aggregated across major economies such as the United States, Eurozone, China, Japan, and the United Kingdom. It provides a simple way to visualize global monetary expansion and contraction trends, helping identify key macroeconomic liquidity cycles. Data is derived from public economic indicators available on TradingView and updated automatically.
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florent_mnd의
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap! 🧠 Description This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure. 🔍 Why Friday & Monday matter Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias. Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders. Together, these two days define the range traps and breakout zones that often control price action until midweek. > In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike. 🧩 What this tool does ✅ Highlights Friday (red) and Monday (green) sessions ✅ Adds optional day labels above bars ✅ Works across all timeframes (best on 15min to 1hr charts) ✅ Helps you visually identify where institutions likely built their positions Use it to quickly spot: * Range boundaries that trap traders * Gap zones likely to get filled * High–low sweeps before reversals ⚙️ Recommended Use 1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday. 2. When Monday holds above Friday’s high , breakout continuation is likely. 3. When Monday fails below Friday’s low , expect a reversal or trap. 4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation. ⚠️ Disclaimer This indicator is for **educational and analytical purposes only**. It does **not constitute financial advice** or a trading signal. Markets are dynamic — always perform your own research before trading or investing.
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JoanJagan의
LSVR - Liquidity Sweep & Volume ReversalLSVR condenses a pro workflow into one visual overlay: Higher-Timeframe (HTF) Trend → Liquidity Sweep & Reclaim → Volume Confirmation. A signal only prints when all three gates align at bar close, and the chart shows everything you need—trend context, the sweep “trap” candle, and a projected Entry/SL/TP based on your chosen R multiple. How it works HTF Trend Filter: Projects a smoothed KAMA/EMA from a higher timeframe to the chart using a safe, lookahead-off request. Long signals are considered only above the HTF line; shorts only below. Liquidity Sweep & Reclaim: Finds confirmed swing highs/lows, then detects an ATR-scaled overshoot through that swing followed by a reclaim (close back inside a configurable % of the bar range). Volume Confirmation: Requires either a volume spike over Volume SMA × multiplier or optional OBV divergence. No participation = no signal. Score: Each setup is scored: trend (0/1) + overshoot strength (0..1.5) + conviction (0/1). Signals fire only when the score ≥ Min Signal Score. What you see HTF Ribbon (subtle green/red backdrop) for bias. Sweep Box on the signal candle (green = long, red = short). Signal markers (“L” / “S”) with a small score label. Projected lines that persist until the next signal: Entry (close), Stop (beyond swept swing), Target (R multiple). Heatmap that intensifies when the score crosses your threshold. Dashboard (top-right): HTF direction, Volume×SMA, current Score, gate pass status. Tooltip on the last bar with quick stats. Quick start Apply to any liquid symbol and set HTF to ~3–6× your chart timeframe (e.g., 15m chart → 1H–4H). Trade with the HTF trend: take L signals above the HTF line and S signals below it. Entry = signal bar close, SL = beyond the swept swing, TP = your Projected Take-Profit (R). Tighten or loosen selectivity with Min Signal Score, Reclaim %, Overshoot (ATR×), and Cooldown. Recommended presets Choppy/crypto 15m: minScore 1.25, reclaimPct 0.60–0.65, overshootATR 1.0–1.2, useOBVDiv=false, cooldown 8. FX 5m / session trend: minScore 1.0–1.1, reclaimPct 0.50–0.55, overshootATR 0.8–1.0, useOBVDiv=true, cooldown 5. Indices 1m (RTH): minScore 1.2, reclaimPct 0.55–0.60, useOBVDiv=false, cooldown 10. Non-repainting by design HTF values use lookahead_off with realtime offset. Swings are confirmed pivots (no “forming” pivots). Signals print at bar close only. Notes OBV divergence can add sensitivity on liquid markets; keep it off for stricter filtering. Use Cooldown to avoid clustered sweeps. This is an overlay/analysis tool, not financial advice. Test settings in Replay/Paper Trading before using live.
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Finntech1의
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates. Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions. --- KEY FEATURES Daily sweep logic: previous day high/low as liquidity reference VWAP with cumulative calculation Adjustable range breakout levels Optional SMA trend filter Session filter (London / NY trading hours) Pre-Signal markers (early alert before breakout) Confirmed LONG/SHORT signals after breakout close Alerts for Pre-Long, Pre-Short, and Confirmed entries --- HOW TO USE 1. Wait for price to sweep the previous day high/low. 2. Look for alignment with VWAP and the defined range breakout levels. 3. Use trend/session filters for higher accuracy. 4. Combine with your own risk management rules. --- SETTINGS TIPS Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes). Enable/disable session filters depending on your market. Use SMA trend filter to stay aligned with higher-timeframe bias. --- WHO IT’S FOR Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout. --- NOTES For educational purposes only. No financial advice. This script is open-source; redistribution follows TradingView rules.
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ChartEdgePro의
1
[delta2win] Liquidity Zone Map🔥 Liquidity Zone Map — Volume‑normalized pivot zones with adaptive ATR scaling 📊 What it does: • Detects potential liquidity/liquidation zones above confirmed highs and below confirmed lows • Draws dynamic zones whose height scales with ATR and whose color intensity scales with volume • Zones extend right and terminate on rule‑based events (midline cross) 🔬 How it works (core formulas): • Pivot detection: ta.pivothigh/ta.pivotlow with length L • Zone height: H = max(ATR(T) × M, MinTicks) • Intensity (volume‑normalized): – Z‑Score mode: I = clamp((V − μ) / (σ + ε), 0..1) – Piecewise mode: I = clamp(V ≤ μ ? V/μ : (V − μ) / (Vmax − μ + ε), 0..1) • Gradient color: col = Gradient(I) (start → mid → end) • Zone life‑cycle: – Creation on new pivot (top/bottom) – Right edge follows bar_index – Termination when with Mid = (Top+Bottom)/2, or optional TTL timeout • Analysis range: global or constrained (Bars Back or ±% price window). Color scaling can be global or range‑scoped. 🆕 What’s new/different: • Selectable volume normalization (Z‑Score or Piecewise) • Timeframe‑adaptive ATR multiplier • Range‑scoped vs. global color scaling • Optional midlines, borders, info legend, scale legend • Optional TTL termination for zones (lifetime in bars) • Object management (cleanup/pooling) for performance 🧭 How to use (suggested presets): • 1–5m: L=2, T=200, M=0.25, Range=Bars Back 1000, Intensity=Piecewise • 15–60m: L=3, T=200, M=0.20, Range=Bars Back 1500, Intensity=Piecewise • 4h+: L=4, T=200, M=0.20, Range=Off, Intensity=Z‑Score ⚙️ Settings: • Pivot length L, ATR length T, multiplier M, MinTicks • Opacity: base/auto (min/max) • Range: Bars Back | Price Range ±% | Off • Scaling: global vs. range‑scoped • Midlines/borders/legends on/off 💡 Usage notes: • Smaller L → more reactive, less robust • Larger M → longer‑lasting zones • On higher TFs, constrain "Bars Back" for performance ⚠️ Limitations: • Non‑predictive; regime/volatility dependent • Data quality impacts intensity computation
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delta2win의
6
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components: • Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD. • Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS). • Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing. Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price. The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator. ❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics). 💡 How to use: • Use on the 1D timeframe. • Look for divergences between BTC price and the macro index. • Apply in confluence with other technical or fundamental frameworks. 🔍 Originality: While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
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electronicRhin4023의
Svl - Trading SystemPrice can tell lies but volume cannot, so keeping this in mind I have created this indicator in which you see sell order block and buy order block on the basis of price action + volume through which we execute our trade First of all, let us know its core concepts and logic, which will help you in taking the right decisions in it. core concept of the " Svl - Trading System " TradingView indicator is based on professional price action, volume, and swing structure. This indicator smartly gives real-time insights of important price turning points, reversal zones, and trend continuation. Its deep explanation is given below. Edit - default swing length -5 , change according your nature , tested With 7 For 5 minute timeframe Core Concept: 1. Swing Structure Detection The indicator automatically detects swing highs (HH/LH) and swing lows (HL/LL) on the chart. HH: Higher High HL: Higher Low LH: Lower High LL: Lower Low These swings are the backbone of price action – signaling a change in trend, a bounce, reversal or trend continuation. 2. Order Block (OB) Mapping Buy Order Block (Buy OB): When the indicator detects the HL/LL swing, we declare Buy OB, the lowest point of the swing. Sell ​​Order Block (Sell OB): On HH/LH swing, the highest point of our swing is called Sell OB. Order Blocks are those important zones of price where historically price has reacted strongly – where major clusters of buyers/sellers are located in the market. 3. Volume Analysis (Optional Dashboard/Barcolor) The candle color depends on the volume ranking on the chart (most high/low, normal, pressure blue shade). Highest/lowest volume candles are a special highlight, which helps to spot liquidity spikes, exhaustion, or big orders. 4. Live Dashboard There is an automated dashboard in the top-right of the chart, which shows this in real-time: Last swing type (HH/HL/LH/LL) Reversal price (last swing level) Swing direction (Bull/Bear/Neutral) Volume, Buy OB, Sell OB, etc. This helps the trader understand the market situation at a glance. 5. Smart Plotting/Labels Buy/Sell are plotted as distinct lines on the OB chart. The Labels option gives clear visual swing points. All calculations are fast and automated – the user does not need to mark manually. This indicator is an advanced, fully-automated price action tool that combines trend, reversal, volume, liquidity and zone detection in one smart system, makes entry/exit decisions objective and error-free, and provides complete trading confidence with a live monitor/dashboard. All of its functions/properties such as: swing detect, OB plot, volume color, dashboard follow best practice for professional chart analysis!
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cnagda3의
1