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Bitcoin vs M2 Global Liquidity (Lead 3M) - Table Ticker═══════════════════════════════════════════════════════════════ Bitcoin vs M2 Global Liquidity - Regression Indicator ═══════════════════════════════════════════════════════════════ TECHNICAL SPECS • Pine Script v6 • Overlay: false (separate pane) • Data sources: 5 M2 series + 4 FX pairs (request.security) • Calculation: Rolling OLS linear regression with configurable lead • Output: Regression line + ±1σ/±2σ confidence bands + R² ticker CORE FUNCTIONALITY Aggregates M2 money supply from 5 central banks (CN, US, EU, JP, GB), converts to USD, applies time-lead, runs rolling linear regression vs Bitcoin price, plots predicted value with confidence intervals. CONFIGURABLE PARAMETERS Input Controls: • Lead Period: 0-365 days (default: 90) • Lookback Window: 50-2000 bars (default: 750) • Bands: Toggle ±1σ and ±2σ visibility • Colors: BTC, M2, regression line, confidence zones • Ticker: Position, size, colors, transparency Advanced Settings: • Table display: R², lead, M2 total, country breakdown (%) • Ticker customization: 9 position options, 6 text sizes • Border: Width 0-10px, color, outline-only mode DATA AGGREGATION Sources (via request.security): • ECONOMICS:CNM2, USM2, EUM2, JPM2, GBM2 • FX_IDC:CNYUSD, JPYUSD (others: FX:EURUSD, GBPUSD) • Conversion: All M2 → USD → Sum / 1e12 (trillions) REGRESSION ENGINE • Arrays: m2Array, btcArray (dynamic sizing, auto-trim) • Window: Rolling (lookbackPeriod bars) • Lead: Time-shift via array indexing (i + leadPeriodDays) • Calc: Manual OLS (covariance/variance), no built-in ta functions • Outputs: slope, intercept, r2, stdResiduals CONFIDENCE BANDS ±1σ and ±2σ calculated from standard deviation of residuals. Fill zones between upper/lower bounds with configurable transparency. ALERTS 5 pre-configured alertcondition(): • Divergence > 15% • Price crosses ±1σ bands (up/down) • Price crosses ±2σ bands (up/down) TICKER TABLE Dynamic table.new() with 9 rows: • R² value (4 decimals) • Lead period (days + months) • M2 Global total (trillions USD) • Country breakdown: CN, US, EU, JP, GB (absolute + %) • Optional: Hide/show M2 details VISUAL CUSTOMIZATION All plot() elements support: • Color picker inputs (group="Couleurs") • Line width: 1-3px • Transparency: 0-100% for zones • Offset: M2 plot has +leadPeriodDays offset option PERFORMANCE • Max arrays size: lookbackPeriod + leadPeriodDays + 200 • Calculations: Only when array.size >= lookbackPeriod + leadPeriodDays • Table update: barstate.islast (once per bar) • Request.security: gaps_off mode CODE STRUCTURE 1. Inputs (lines 7-54) 2. Data fetch (lines 56-76) 3. M2 aggregation (line 78) 4. Array management (lines 84-95) 5. Regression calc (lines 97-172) 6. Prediction + bands (lines 174-183) 7. Plots (lines 185-199) 8. Ticker table (lines 201-236) 9. Alerts (lines 238-246) DEPENDENCIES None. Pure Pine Script v6. No external libraries. LIMITATIONS • Daily timeframe recommended (1D) • Requires 750+ bars history for optimal calculation • M2 data availability: TradingView ECONOMICS feed • Max lines: 500 (declared in indicator()) CUSTOMIZATION EXAMPLES • Shorter lookback (200d): More reactive, lower R² • Longer lookback (1500d): More stable, regime mixing • No bands: Set showBands=false for clean view • Different lead: Test 60d, 120d for sensitivity analysis TECHNICAL NOTES • Manual OLS implementation (no ta.linreg) • Array-based lead application (not plot offset) • M2 values stored in trillions (/ 1e12) for readability • Residuals array cleared/rebuilt each calculation OPEN SOURCE Code fully visible. Modify, fork, analyze freely. No hidden calculations. No proprietary data. VERSION 1.0 | November 2025 | Pine Script v6 ═══════════════════════════════════════════════════════════════
مؤشر Pine Script®
من ‎Andre_lpz‎
POC Volume Bar (Highest Volume in Range)What the highlighted POC bar means 🔶 1. Institutional interest A POC often identifies where big money stepped in. 🔶 2. Support or resistance pivot Large volume often signals: • A reversal • A breakout • Or the beginning of a trend 🔶 3. Liquidity magnet Price tends to revisit high-volume bars. They act like magnets. 🔶 4. Trend confirmation or exhaustion High volume on: • Green candle → bullish participation • Red candle → distribution / aggressive selling
مؤشر Pine Script®
من ‎greatbrownball‎
Buy vs Sell Liquidity + Difference (Bottom Right)Script Summary (Short Notes) ⚙️ Purpose Tracks and displays Buy Volume vs Sell Volume difference during the day, based on candle direction. Useful for spotting liquidity imbalance between buyers and sellers. 📊 How It Works Volume Classification If close > open → counts volume as Buy Volume If close < open → counts volume as Sell Volume Aggregation Timeframe You can select a timeframe (1, 2, 3, 5, 15, 30 mins) Script recalculates data from that aggregation level. Daily Reset At the start of a new trading day, totals reset to zero. Cumulative Calculation Adds all buy/sell volumes as the day progresses. Calculates: Total Volume Difference (BUY − SELL) Percentages (%)
مؤشر Pine Script®
من ‎dammucool‎
Smart Money Concepts Pro – OB, FVG, Liquidity + Trade SetupsThis script is a complete Smart Money Concepts (SMC) toolkit designed for traders who want clean and actionable charts without clutter. It combines the most important institutional concepts into one indicator: Order Blocks (OB): auto-detection of bullish and bearish order blocks with mitigation tracking, merging and TTL (time-to-live). Fair Value Gaps (FVG): automatic gap recognition with size filters, mitigation tracking and lifetime control. Liquidity Pools (EQH/EQL): equal highs and equal lows marked with tolerance (ATR-based or fixed). Break of Structure (BOS): up/down structure shifts plotted directly on the chart. Multi-Timeframe (HTF): option to use higher timeframe data (e.g. H4, Daily) for stronger zones. Trend Filter: show zones only in the direction of market structure. Trade Setups: automatic signals for OB Retest + Trend setups, with entry, stop-loss and take-profit levels (custom R-R). Flexible Zone Extension: choose between extending zones to the live bar or fixed box width for a cleaner look when scrolling. Features Fully customizable (pivot length, ATR filters, box width, TTL, zone colors) Separate presets for Scalping, Intraday, Swing trading styles Visual trade planning with entry/SL/TP lines and optional labels Works across all markets (crypto, forex, indices, stocks) How to use Bias: identify overall direction (BOS + HTF zones). Wait: for price to return to an unmitigated OB or FVG. Entry: take the setup signal (OB retest + trend filter). Risk: stop-loss at opposite OB boundary. Target: TP based on chosen R-R multiple (default 2R). ⚡ Whether you scalp short-term moves or swing trade HTF zones, this indicator gives you a clear institutional edge in spotting supply/demand imbalances and high-probability setups.
مؤشر Pine Script®
من ‎Kammi07‎
1
Stop Hunt Candlesticks (Liquidity Wicks)🕯️ Stop Hunt Candlesticks Wick Highlighter – Spot Extreme Wicks Instantly This indicator highlights candles where the upper or lower wick exceeds a customizable percentage of the asset’s price — perfect for quickly spotting strong rejections, liquidity grabs, stop hunts or exhaustion moves. 💡 Key Features Visual Background Highlight: Automatically colors the chart background when a wick surpasses your defined % threshold (default 1%). Customizable Threshold: Adjust wick sensitivity to suit different assets or timeframes. Upper & Lower Wick Filters: Choose whether to track upper wicks, lower wicks, or both. Dynamic Price Basis: Compare wick size relative to Close, Open, HL2, or OC2. Optional Labels: Display the exact wick percentage directly on the chart. Alerts Ready: Get notified whenever a candle shows an extreme wick condition. ⚙️ How It Works The script measures each candle’s wick size relative to your chosen price basis: Upper wick % = (High − max(Open, Close)) / Basis × 100 Lower wick % = (min(Open, Close) − Low) / Basis × 100 If the result exceeds your chosen threshold, the chart background changes color. Red for upper wicks, green for lower wicks by default. 🎯 Use Cases Identify strong rejections or stop hunts near key levels. Confirm price exhaustion or potential reversals. Filter fake breakouts or high-volatility events. 🧩 Customization Tweak colors, transparency, and label visibility to fit seamlessly into your chart setup.
مؤشر Pine Script®
من ‎AGreatEscape‎
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail. 🟠 CONCEPTS The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as: Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution) Retail — volume closing at bar extremes (suggesting chase entries or panic exits) When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume. 🟠 FEATURES Classifies flows into Smart Money or Retail based on candle-body context. Displays live P/L comparison table for Smart vs Retail performance. Alerts for each detected Smart or Retail buy/sell event. 🟠 USAGE Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level. Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price. See what others are doing : Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
مؤشر Pine Script®
من ‎AlgoAlpha‎
46
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves. How It Works (Inputs and Logic) Min wick % (each side): 30–60% of candle range Max body %: up to 60% of range (preserves strong body presence) Equality tolerance: wicks within 8% of each other ATR filter (multiples of ATR14): ensures only significant-range candles are flagged When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable. How to Use It Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1). Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1). Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context. Why This Indicator Is Unique Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly. Important Notes No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure. Script built responsibly: uses real-time calculations only, no future-data lookahead. Visuals on the published chart reflect default input values exactly.
مؤشر Pine Script®
من ‎Thebitcoin37‎
Global Sessions with Trend & Liquidity Features: -Session ranges with customizable lines & colors -Opening range markers and optional background shading -Automatic trend detection per session (Bullish / Bearish / Neutral) -Indicators when highs/lows are broken -Clean visual design with toggles for minimal or detailed display This Pine Script code is designed to help traders visualize and analyze different market sessions. It's a tool that displays the trading hours for the Asian, London, and New York sessions right on the chart. The main purpose is to show when these key markets are open and to highlight their price ranges. It also includes features to track the trend within each session and to identify "liquidity sweeps" or moments when the price breaks the high or low of a previous session. In simple terms, it helps a trader see what the market is doing and where the price is likely to go, all based on the major global trading times. It's especially useful for day traders who want to align their strategies with the activity of specific markets. P.S. Apologies to users not in the EST timezone! This version is hardcoded to Eastern Standard Time, and I'm not currently sure how to automatically adjust it for different timezones. But you can adjust manually and click the dropdown menu to Save As Default.
مؤشر Pine Script®
من ‎Fizeks‎
Recession Warning Model [BackQuant]Recession Warning Model Overview The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments. Purpose The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly. Core Features - Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress. - Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries. - Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix). - Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads. - Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability). - Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals. - Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals. - Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R. Model Complexity Levels Users can select from four tiers to balance simplicity and depth: 1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring. 2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule. 3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth. 4. Research : Unlocks all indicators plus experimental settings for advanced users. Key Indicators Below is a summary of the 13 indicators, their data sources, and economic significance: - Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress. - Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs. - Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions. - Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator. - Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending. - PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction. - VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress. - S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption. - M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction. - NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions. - Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress. - JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns. - Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating. Data Processing - Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period). - Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback). - Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise. - Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations. Probability Calculation 1. Each indicator’s binary signal is weighted according to user settings or dynamic performance. 2. Weights are normalized to sum to 100% across active indicators. 3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix. 4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes. 5. Optional smoothing ensures stable outputs. Display and Visualization - Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands. - Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards. - Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence. - Ensemble Mode : Averages traditional and split probabilities for a balanced view. - Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis). - Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses. Practical Applications - Asset Allocation : Adjust equity or bond exposures based on sustained probability increases. - Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis. - Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%. - Trading Filters : Disable short-term strategies during high-risk regimes. - Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated. Configuration Guidelines - Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred. - Use dynamic weighting with at least one economic cycle of data for optimal performance. - Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals. - Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization. - Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading. Limitations - Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading. - Historical data availability may constrain dynamic weighting on shorter timeframes. - Model accuracy depends on the quality and timeliness of economic data feeds. Final Note The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
مؤشر Pine Script®
من ‎BackQuant‎
3
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks. This indicator refines classic OB logic by combining: Fractal-based break conditions Time-level filtering (Power of 3) Optional Fair Value Gap (FVG) confirmation Real-time plotting and auto-invalidation Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka. 🧠 What the indicator does Detects order blocks after break of bullish/bearish fractals Supports 3-bar or 5-bar fractal structures Allows OB detection based on close breaks or high/low breaks Optionally confirms OBs only if followed by a Fair Value Gap within N candles Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models Automatically deletes invalidated OBs once price closes through the zone ⚙️ How it works The indicator: Tracks local fractal highs/lows Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish) Validates the level by checking: OB type logic (close or HL break) Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept) Optional FVG confirmation after OB Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones. 🔧 Customization Choose 3-bar or 5-bar fractals OB detection type: close break or HL break Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style) Optional: require nearby FVG for validation Line style: solid, dashed, or dotted Adjust OB length, width, color, and use body or wick for OB height 🚀 How to use it Add the script to your chart Choose your preferred OB detection mode and filters Use plotted OB zones to: Anticipate price rejections and reversals Validate Smart Money or ICT-based entry zones Align setups with algorithmic time sequences (3, 7, 11, 14) Filter out invalid OBs automatically, keeping your chart clean The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model. 💡 What makes it original Combines fractal logic with OB confirmation and time anchors Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3" Allows OB validation via optional FVG follow-up — rarely available in public indicators Auto-cleans invalidated OBs to reduce clutter Designed to reflect market structure logic used by institutions and algorithms 💬 Why it’s worth using Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs. It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG. For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity. ⚠️ Important This indicator: Is not a signal generator or financial advice tool Is intended for experienced traders using OB/SMC/time-based logic Does not predict market direction — it provides visual structural levels only
مؤشر Pine Script®
من ‎theunlockedtrading‎
6