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Haut & Bas Semaine Précédente – Depuis lundi (paramétrable)Clean and precise indicator that draws: • The previous week’s high • The previous week’s low Lines start exactly on the Monday of the previous week and extend to the right (auto-updated every Monday). Works perfectly on all timeframes (1 min, 5 min, 1H, 4H, daily…). Fully customizable: Colors Style: Solid / Dashed / Dotted Line width (1–5) Perfect for intraday, swing trading or scalping — these levels are often strong support/resistance or breakout zones. No labels, no plots, just the two clean lines. Lightweight and professional.
Indicatore Pine Script®
di TajanDamien
Ross Cameron 5 Pillars FilterFirst, I am not Ross Cameron. This indicator is based on his five pillars of stock selection. ROSS CAMERON 5 PILLARS MOMENTUM FILTER 🎯 OVERVIEW This indicator automatically checks if the current symbol meets Ross Cameron's famous "5 Pillars" stock selection criteria from Warrior Trading - a proven methodology for identifying high-probability momentum day trading setups. 📊 ROSS CAMERON'S 5 PILLARS 1️⃣ RELATIVE VOLUME ≥5x (Automated ✅) • Compares current volume to 30-day average • Minimum 5x confirms institutional/retail interest • High RVol = high liquidity and momentum potential 2️⃣ DAILY % CHANGE ≥10% (Automated ✅) • Stock must already be showing momentum • Default threshold: 10% up from previous close • Confirms demand is already present 3️⃣ NEWS CATALYST (Manual Check ⚠️) • Breaking news justifies the price movement • Look for: earnings, FDA approvals, partnerships, contracts • 🔥 icon flags stocks with ≥15% momentum (likely news-driven) 4️⃣ PRICE RANGE $1-$20 (Automated ✅) • Sweet spot for retail trader momentum • Highly volatile small-cap stocks • Accessible price range for position building 5️⃣ FLOAT <10 MILLION SHARES (Automated ✅) • Low float creates supply/demand imbalances • Enables explosive 50-100%+ intraday moves • Automatically checked when data available • Shows actual float with ✅/❌ indicator 🚀 KEY FEATURES ✅ GREEN BACKGROUND HIGHLIGHT • Visual alert when ALL automated criteria are met • Instantly identify potential setups while scanning watchlist 📋 DETAILED BREAKDOWN TABLE • Shows pass/fail status for each pillar • Displays actual values (RVol, %, Float, etc.) • Color-coded for quick interpretation 🔥 STRONG MOMENTUM INDICATOR • Highlights stocks ≥15% (likely have news catalyst) • Helps prioritize which stocks to research first 🔔 BUILT-IN ALERTS • "Ross Cameron Criteria Met" - All automated criteria pass • "Strong Momentum Alert" - Stock showing explosive movement ⚙️ FULLY CUSTOMIZABLE • Adjust all thresholds to your trading style • Configurable table position and display • Toggle volume spike filter on/off 💡 HOW TO USE BEST WORKFLOW: 1. Build a watchlist of small-cap stocks using TradingView's Stock Screener 2. Add this indicator to your charts 3. Flip through your watchlist - look for GREEN BACKGROUNDS 4. Check the table for detailed breakdown of each pillar 5. VERIFY NEWS CATALYST (required for Pillar 3) 6. If float shows N/A, verify manually on Finviz 7. Execute your trading plan with proper risk management OPTIMAL TIMING: • Pre-Market (8:00-9:30 AM ET) - Identify gap-up candidates • Morning Session (9:30 AM-12:00 PM ET) - Prime momentum window • Avoid lunch hour (12:00-2:00 PM ET) - Low volume, choppy ALERT SETUP: 1. Click "Create Alert" on your chart 2. Select "Ross Cameron Criteria Met" condition 3. Get notified when new setups appear real-time ⚙️ CUSTOMIZABLE SETTINGS PILLAR 1 - RELATIVE VOLUME: • Min RVol: 5.0x (Ross's minimum, increase for more selective) • RVol Period: 30 days (industry standard) PILLAR 2 - MOMENTUM: • Min Daily %: 10% (increase to 15% for stronger setups) PILLAR 3 - CATALYST: • Strong Momentum %: 15% (threshold for 🔥 indicator) PILLAR 4 - PRICE RANGE: • Min Price: $1.00 (adjust based on account size) • Max Price: $20.00 (Ross's sweet spot) PILLAR 5 - FLOAT: • Max Float: 10M shares (ultra-aggressive traders use 5M) ADDITIONAL FILTERS: • Volume Spike: 2x (Warrior Trading standard) • Confirms intraday momentum continuation 📈 INTERPRETATION GUIDE ✅ GREEN BACKGROUND = GO! • All automated criteria are met • Check news catalyst before trading • Verify setup on chart (not overextended) • Follow your risk management plan ❌ NO GREEN BACKGROUND = WAIT • At least one criterion failed • Check table to see which pillar(s) failed • May become valid later if momentum increases 🔥 FLAME ICON = HIGH PRIORITY • Stock showing very strong momentum (≥15%) • Likely has significant news catalyst • Research news IMMEDIATELY • Often the best setups of the day ⚠️ N/A FOR FLOAT = MANUAL CHECK • TradingView doesn't have float data for this symbol • Verify on Finviz.com or similar • If float >10M, setup is invalid per Ross's criteria 📚 RECOMMENDED STRATEGIES GAP AND GO: • Stock gaps up 10%+ on news • Enters above gap high with volume • Targets: 20-50% gains VWAP BOUNCE: • Pullback to VWAP support • Enters on bounce with volume confirmation • Tight stop below VWAP HIGH OF DAY BREAKOUT: • New HOD with volume surge • Momentum continuation play • Trail stop as it runs ABCD PATTERN: • Classic reversal pattern • Enters on D-point breakout • Target: A-B distance from C ⚠️ RISK WARNINGS • DAY TRADING IS HIGHLY RISKY - Most day traders lose money • This indicator finds setups - YOUR EXECUTION determines success • Always use proper risk management (1-2% risk per trade) • Never trade without stop losses • Paper trade extensively before using real money • Past performance does not guarantee future results 🔧 TECHNICAL DETAILS • Pine Script v6 • Works on any timeframe (calculates daily metrics automatically) • Compatible with TradingView Free, Pro, Premium • No repainting - all calculations based on confirmed data • Efficient code - minimal lag 📊 DATA SOURCES • Relative Volume: Calculated from 30-day volume average • Daily %: Previous day's close vs current price • Float: TradingView's shares_outstanding_float data • Volume Spike: 20-period volume moving average 🎯 WHO THIS IS FOR IDEAL FOR: ✅ Day traders focused on momentum strategies ✅ Traders who follow Ross Cameron/Warrior Trading methodology ✅ Small-cap stock traders ($1-$20 range) ✅ Scalpers and swing traders seeking high-volatility setups NOT IDEAL FOR: ❌ Long-term investors ❌ Large-cap stock traders ❌ Options-only traders ❌ Traders who don't monitor news catalysts 💬 USAGE TIPS 1. COMBINE WITH OTHER TOOLS • Use alongside your charting/technical analysis • Verify pattern setups (bull flags, ABCD, etc.) • Check Level 2 / Time & Sales for confirmation 2. MAINTAIN A WATCHLIST • Update daily with fresh small-cap movers • Use Finviz Gap Scanner as starting point • Focus on sectors with momentum 3. RISK MANAGEMENT IS KEY • Never risk more than 1-2% per trade • Use 2:1 minimum profit/loss ratio • Cut losses quickly, let winners run • Position size based on volatility (ATR) 4. TRACK YOUR RESULTS • Keep a trading journal • Note which setups work best for you • Refine criteria based on your data • Continuous improvement mindset 📝 DISCLAIMER This indicator is for EDUCATIONAL PURPOSES ONLY. It is not investment advice, a recommendation to buy/sell securities, or a guarantee of profits. Trading involves substantial risk of loss. Always: • Conduct your own research and due diligence • Consult with a licensed financial advisor • Never risk money you cannot afford to lose • Understand that most day traders lose money • Practice in a simulator before trading real money The creator of this indicator is not affiliated with Ross Cameron or Warrior Trading. This is an independent implementation of publicly available trading methodology. 📈 SUPPORT & FEEDBACK If you find this indicator helpful, please: • Give it a thumbs up 👍 • Leave a comment with your experience • Share with other momentum traders • Follow for updates and new indicators For questions or suggestions, leave a comment below! --- 🏆 HAPPY TRADING! Remember: The indicator finds opportunities, but YOUR discipline, risk management, and execution determine your success. #DayTrading #Momentum #RossCameron #WarriorTrading #SmallCaps #GapAndGo #Scalping #StockScreener
Indicatore Pine Script®
di DayTradingMD1992
3
MTF Candle Countdown — HUD V1 (By Price-Action-Art) MTF Candle Countdown — HUD V1 (By Price-Action-Art) A clean, lightweight HUD that shows you exactly how much time is left in multiple higher-timeframe candles — all in one place. This tool is designed for traders who rely on multi-timeframe precision. Instead of constantly switching charts or checking timers, the HUD gives you a real-time countdown for up to six timeframes (Daily, 4H, 1H, 30m, 15m, 5m by default). You can fully customize the timeframes, text size, and HUD position on your chart. Perfect for: Intraday and scalping timing Swing traders waiting for HTF candle closes ICT / SMC structure-based traders Anyone who needs exact candle close timing without distractions Features: Real-time multi-timeframe candle countdown Fully adjustable HUD placement (all corners) Customizable timeframes and text size Clean, minimal, and non-intrusive design Updates only on the last bar for performance efficiency Optional border for a sharper HUD look Whether you’re waiting for a Daily close to confirm structure or timing your entries around 5m/15m candles, this HUD keeps everything visible and precise at a glance. If you find this tool helpful, feel free to like, comment, and follow — it motivates me to keep releasing more tools for the community.
Indicatore Pine Script®
di Price-Action-Art
🎯 Wyckoff Order Block Entry System🎯 Wyckoff Order Block Entry System 📝 INDICATOR DESCRIPTION 🎯 Wyckoff Order Block Entry System Short Description: Professional institutional zone trading combined with Wyckoff methodology. Identifies high-probability entries where smart money meets classic price action patterns. Full Description: Wyckoff Order Block Entry System is a precision trading tool that combines two powerful concepts: Order Blocks - Institutional zones where large players place their orders Wyckoff Method - Classic price action patterns revealing smart money behavior 🎯 What Makes This Different? Unlike traditional indicators that flood your chart with signals, this system only triggers entries when BOTH conditions are met: Price enters an institutional Order Block zone (current timeframe OR higher timeframe) A Wyckoff pattern occurs (Spring, SOS, Upthrust, or SOW) This dual-confirmation approach ensures you're trading with institutional flow at optimal entry points. 📊 Key Features: ✅ Order Block Detection Automatically identifies institutional buying/selling zones Current timeframe order blocks (solid lines) Higher timeframe order blocks (dashed lines) for stronger zones Customizable strength and extension settings ✅ 4 Wyckoff Entry Patterns SPRING (Bullish Reversal): Fake breakdown below support → Quick recovery SOS (Sign of Strength): Strong bullish candle after accumulation UPTHRUST (Bearish Reversal): Fake breakout above resistance → Quick rejection SOW (Sign of Weakness): Strong bearish candle after distribution ✅ Clean Visual Design Minimalist approach - only essential information Color-coded zones (Green = Bullish, Red = Bearish, Cyan/Magenta = HTF) Clear entry signals with pattern type labels No chart clutter - focus on what matters ✅ Multi-Timeframe Analysis Integrates higher timeframe order blocks HTF signals marked with "+HTF" tag for extra confidence Fully customizable HTF selection (H1, H4, Daily, etc.) ✅ Smart Alerts Entry signal alerts (Long/Short) Order block formation alerts HTF order block alerts Customizable alert messages 💡 How To Use: Setup: Add indicator to your chart, configure HTF timeframe (default H1) Wait: Let order blocks form (green/red boxes appear) Watch: Price returns to order block zone Entry: Signal appears when Wyckoff pattern confirms Trade: Enter with the signal, stop below/above order block 📈 Best For: Forex pairs (all majors and crosses) Gold (XAUUSD) Crypto (BTC, ETH, etc.) Indices (SPX, NAS100, etc.) Stocks Commodities ⏱️ Recommended Timeframes: M15 for scalping M30 for day trading H1 for swing trading H4 for position trading 🎯 Win Rate Expectations: Current TF signals: 60-70% HTF signals (+HTF tag): 70-80% Spring/Upthrust patterns: Highest probability Works on ALL liquid markets ⚙️ Customizable Settings: Order block detection parameters HTF timeframe selection Wyckoff sensitivity (swing length, volume threshold) Zone extension duration Color schemes 📚 Trading Strategy: This indicator works best when: Trading in the direction of higher timeframe trend Using proper risk management (1-2% per trade) Placing stops just outside order block zones Taking profits at opposite order blocks Focusing on HTF signals for higher quality 🔒 Risk Management: Always use stop losses! Recommended placement: LONG: 10-20 pips below order block SHORT: 10-20 pips above order block Target: Minimum 1:2 risk/reward ratio 💎 Why Traders Love This System: "Finally, an indicator that doesn't spam my chart with useless signals!" - The quality-over-quantity approach means you only get high-probability setups. "The HTF order blocks changed my trading!" - Multi-timeframe analysis built-in removes the need for manual higher timeframe checks. "Wyckoff + Order Blocks = Perfect combination!" - Two proven concepts working together create powerful confluence. 📊 Universal Application: This system works on ANY liquid market with sufficient volume: ✅ Forex (EUR/USD, GBP/USD, USD/JPY, etc.) ✅ Commodities (Gold, Silver, Oil, etc.) ✅ Indices (S&P 500, NASDAQ, DAX, etc.) ✅ Cryptocurrencies (Bitcoin, Ethereum, etc.) ✅ Stocks (Large cap with good liquidity) 🎓 Educational Value: Beyond just signals, this indicator teaches you: How institutional traders think Where smart money places orders Classic Wyckoff accumulation/distribution patterns Multi-timeframe analysis techniques ⚡ Performance: Lightning-fast calculations No repainting Real-time signal generation Clean code, optimized for speed 🚀 Get Started: Add to your favorite chart Adjust HTF timeframe to match your trading style Wait for high-quality signals Trade with confidence Remember: Quality beats quantity. This system prioritizes precision over frequency. You might see 2-5 signals per day on M30 - and that's exactly the point. Each signal is carefully filtered for maximum probability. Ready to trade like institutions? 👉 Add this indicator to your chart now 👉 Configure your preferred HTF timeframe 👉 Start catching high-probability setups 👉 Trade smarter, not harder Questions or feedback? Drop a comment below! Found this useful? Hit that ⭐ button and share with fellow traders! Happy Trading! 🚀📈
Indicatore Pine Script®
di ThePipsMaker_
Volume Climax Reversal (VCR) — Catch Exhaustion Tops & BottomsNew! VCR spots exhaustion spikes at highs/lows using volume extremes + price action + VWAP context. If you trade parabolic runners, indices, or mean-reversion edges, VCR helps you time the backside (shorts) and fade capitulation (longs) with clean, rule-based signals. What it does Detects volume climax: current volume > SMA(len) × multiplier and a new volume high in the lookback. Confirms price context: makes a higher high (for tops) or lower low (for bottoms). Filters with VWAP (optional): bearish signals only below VWAP, bullish signals only above VWAP. Optional wick filter: requires an exhaustion wick > body to reduce chop. Why traders like it Clear entries: “VCR↓” (bearish) at exhaustion tops, “VCR↑” (bullish) at washout lows. Fewer false signals: VWAP gating + wick filter focus on true climaxes. Built-in alerts: set once, get notified on your phone/desktop when a setup appears. How I trade it (simple playbook) Bearish reversal (short / puts) Wait for VCR↓ (exhaustion at/near HH). Look for a lower high that fails to reclaim the signal candle high. Enter on the break of that lower-high candle low. Stop above the signal wick high. Covers/targets: VWAP first; then 20–30% fade from the local top / prior demand. Bullish reversal (long / calls) Wait for VCR↑ (capitulation at/near LL). Look for a higher low that holds above the signal candle low. Enter on the break of the HL candle high. Stop below the signal wick low. Targets: VWAP first; then prior supply/MA bands. Tip for small-cap/“Dux” style: VCR pairs perfectly with a gap + high USD-rotation scan. Let them blow off, then use VCR for the timing. Inputs (tune to your market) Volume SMA Length (default 20) Volume Spike Multiplier (default 2.0) Lookback High / Low (default 10 / 10) Require VWAP confirmation? (on) Use wick filter? (on) Works on stocks, indices, futures, crypto. Timeframes: 1–15m for day trading; 1h–4h–D for swing. Alerts Set one (or both) alerts and forget it: Bearish Volume Climax — VCR↓ Bullish Volume Climax — VCR↑ You’ll get instant notifications when a qualified top/bottom prints. Best practices Don’t countertrend the first front-side ramp—wait for the VCR and a lower-high/higher-low. Respect VWAP: it’s your first profit-taking and a bias filter. Size small into volatility; widen stops in fast markets. Combine with your watchlist filters (gap %, float/O/S, USD rotation, session timing). What’s included Clean visual signals (triangles + subtle background shading) Session-anchored VWAP Alert conditions that appear in TradingView’s alert menu Sensible defaults + clear docs (this post) FAQ Q: Does it repaint? No. VCR uses completed-bar data; signals print end-of-bar. Q: Which markets? Anything with volume: US equities, futures, crypto, indices. Q: Can I use it for scalps? Yes—1–5m with wick filter on and VWAP required works well. Get more / upgrades I’m iterating fast (MTF filter, heatmap panel, combined “one-alert” mode). Want the pro template with dashboard & combined alerts? Message me on TV or DM / email you@domain.com . Risk Notice This is educational research, not financial advice. Markets carry risk—always manage position size and use stops. If this helped you, smash the 👍 and ⭐ — it really helps! #volume #vwap #reversal #exhaustion #trendreversal #smallcaps #scalping #daytrading #swingtrading #stocks #futures #crypto #indicator
Indicatore Pine Script®
di Rendon1
TraderDemircan Auto Fibonacci RetracementDescription: What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features: Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618) Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference Complete Customization: Individual toggle controls and color selection for each of the 16 levels Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both) Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point) Optional Trend Line: Connects the two swing points to visualize the overall price movement direction How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base): Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak): After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method: The indicator uses the top-down approach where: 1.0 Level = Swing High (100% retracement, the top) 0.0 Level = Swing Low (0% retracement, the bottom) Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high Extension Levels (1.115 to 3.618) = Potential target zones below the swing low Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0): 0.0 (Gray): Swing low - the base support level 0.236 (Red): Shallow retracement, first minor support 0.382 (Orange): Moderate retracement, commonly watched support 0.5 (Purple): Psychological midpoint, significant support/resistance 0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone 0.786 (Cyan): Deep retracement, last defense before full reversal 1.0 (Gray): Swing high - the initial resistance level Extension Levels (1.115 - 3.618): 1.115 (Green): First extension, minimal downside target 1.272 (Light Green): Minor extension, common profit target 1.414 (Yellow-Green): Square root of 2, mathematical significance 1.618 (Gold - Golden Extension): Primary downside target, most watched extension level 2.0 (Orange-Red): 200% extension, psychological round number 2.382 (Pink): Secondary extension target 2.618 (Purple): Deep extension, major target zone 3.272 (Deep Purple): Extreme extension level 3.618 (Blue): Maximum extension, rare but powerful target How to Use:For Retracement Trading (Buying Pullbacks in Uptrends): Wait for price to make a significant move up from swing low to swing high When price starts pulling back, watch for reactions at key Fibonacci levels Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio) Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels Place stop loss below the next Fibonacci level Target: Return to swing high or higher extension levels For Extension Trading (Profit Targets): After price breaks below the swing low (0.0 level), use extensions as profit targets First target: 1.272 (conservative) Primary target: 1.618 (golden extension - most commonly reached) Extended target: 2.618 (for strong trends) Extreme target: 3.618 (only in powerful trending moves) For Counter-Trend Trading (Fading Extremes): When price reaches deep retracements (0.786 or below), look for exhaustion signals Watch for divergences between price and momentum indicators at these levels Enter reversal trades with tight stops below the swing low Target: 0.5 or 0.382 levels on the bounce For Trend Continuation: In strong uptrends, shallow retracements (0.236 to 0.382) often hold Use these as low-risk entry points to join the existing trend Failure to hold 0.5 suggests weakening momentum Breaking below 0.618 often indicates trend reversal, not just retracement Multi-Timeframe Strategy: Use daily timeframe Fibonacci for major support/resistance zones Use 4H or 1H Fibonacci for precise entry timing within those zones Confluence between multiple timeframe Fibonacci levels creates high-probability zones Example: Daily 0.618 level aligning with 4H 0.5 level = strong support Settings Guide:Lookback Period (10-500): Short (20-50): Captures recent swings, more frequent updates, suited for day trading Medium (50-150): Balanced approach, good for swing trading (default: 100) Long (150-500): Identifies major market structure, suited for position trading Higher values = more stable levels but slower to adapt to new trends Pivot Sensitivity (1-20): Controls how many candles are required to confirm a swing point Low (1-5): More sensitive, identifies minor swings (default: 5) High (10-20): Less sensitive, only major swings qualify Use higher sensitivity on lower timeframes to filter noise Individual Level Toggles: Enable only the levels you actively trade to reduce chart clutter Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618 Comprehensive setup: Enable all levels for maximum information Visual Customization: Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary Price Labels: Essential for knowing exact entry/exit prices Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at Extension Direction: Extend right for forward-looking analysis, left for historical context What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from: Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection) Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are Important Considerations: Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines) Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots Best Practices: Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume) Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone Respect the 0.618: This golden ratio level is historically the most reliable for reversals Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low Optimal Timeframes: Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only Day Trading (15m-1H): Lookback 50-100, all retracement levels important Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning Common Fibonacci Trading Mistakes to Avoid: Wrong Swing Selection: Choosing insignificant swings produces meaningless levels Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors Static Analysis: Not updating your Fibonacci as market structure evolves Arbitrary Lookback: Using the same lookback period for all assets and timeframes Integration with Other Tools:Fibonacci + Moving Averages: When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support Price bouncing from both Fibonacci and MA simultaneously = high-probability trade Fibonacci + RSI/Stochastic: Oversold indicators at 0.618 or deeper retracements = strong buy signal Overbought indicators at swing high (1.0) = potential reversal warning Fibonacci + Volume Profile: High-volume nodes aligning with Fibonacci levels create robust support/resistance Low-volume areas near Fibonacci levels may see rapid price movement through them Fibonacci + Trendlines: Fibonacci retracement level + ascending trendline = double support Breaking both simultaneously confirms trend change Technical Notes: Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period Implements dynamic line and label arrays for clean redraws without memory leaks All calculations update in real-time as new bars form Extension options allow customization without modifying core code Format.mintick ensures price labels match the symbol's minimum price increment Tooltip on swing markers shows exact price values for precision
Indicatore Pine Script®
di TraderDemircan_
SMA 50 DerivativeThis approach uses calculus concepts: First Derivative (slope): Rate of change of the SMA → ta.change(sma50) Second Derivative (acceleration): Rate of change of the slope → ta.change(smaSlope) 1. First Derivative (smaSlope) Measures: The instantaneous rate of change between the current bar and previous bar Formula: sma50 - sma50 Interpretation: > 0 = SMA is rising (uptrend) < 0 = SMA is falling (downtrend) = 0 = SMA is flat 2. Second Derivative (smaAcceleration) Measures: How the slope itself is changing Formula: smaSlope - smaSlope = (sma50 - sma50 ) - (sma50 - sma50 ) Interpretation: > 0 = Slope is increasing (trend is accelerating) < 0 = Slope is decreasing (trend is decelerating) = 0 = Slope is constant **For scalping, very short-term signals**
Indicatore Pine Script®
di najitrad
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent 🎭 Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent ⚡ Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2σ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trend—enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent 💧 Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR) Signal Logic: Breakout anticipation—enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent 📊 Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ε)% of the time Explores randomly ε% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal → outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (▲): Long signal confirmed Red triangle (▼): Short signal confirmed Dashboard shows: Active agent (highlighted row with ► marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (█████ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5× ATR) Take-profit 1 (2.0× ATR) Take-profit 2 (3.5× ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: ✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations ✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers ✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models) ✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint ⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations ⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows ⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
9
VWAP CATS background flipped 4.0VWAP CATS Background Flipped 4.0 is a sophisticated Pine Script v5 indicator for TradingView that combines a configurable moving average (MA) with dynamic Gann Square of 9 levels to create a multi-layered background shading system for price action analysis. It visualizes support/resistance zones around a central MA (often VWAP or RVWAP) using incremental offsets (either % or absolute points), generating symmetrical bands that resemble a "CATS" (Concentric Adaptive Tiered System) — hence the name.The background is "flipped" in the sense that shading intensity and structure emphasize higher-tier zones, and labels are placed to the right of the chart for future projection.Key FeaturesFeature Description Multi-MA Engine Supports 20+ MA types: EMA, DEMA, TEMA, SMA, VWAP, RVWAP, HMA, ALMA, custom volume blends (CVB1–4) RVWAP Mode Rolling VWAP with adaptive or fixed time window (days/hours/minutes) Gann Square of 9 Logic Generates 80+ symmetric levels (0.25x to 17x increment) above/below the MA Dual Increment Mode Choose Percent or Points for spacing Background Fills Tiered transparency fills between Gann levels (darker = stronger zones) Visual MA Offset Shift MA line left/right without breaking fill alignment Smart Labels Projected labels on last bar: "FV", "normal", "high", "3/4" at key levels Performance Optimized Hidden plots + label cleanup to prevent lag Primary Use Cases 1. Institutional VWAP Anchoring Use RVWAP (1-day fixed) as maRaw Set Increment = 0.5 points or 0.05% Watch price interaction with "normal" (2x), "high" (4x), "3/4" (6x) zones Ideal for intraday scalping on indices (ES, NQ) or forex 2. Swing Trading with Gann Projections Use 400-period SMA/EMA on daily chart Increment in Percent mode (~1.22%) Identify confluence when price rejects at 2x, 4x, or 6x bands Labels project future targets to the right 3. Volume-Weighted Mean Reversion Select CVB1–CVB4 for heavy volume smoothing Use Points mode for stocks with stable tick sizes (e.g. $0.50 increments) Trade mean reversion between ±1x and ±2x bands 4. Risk Management & Stop Placement Place stops beyond 2x or 4x bands Take profits at next major tier (e.g. 4x → 6x) Pro Tips Enable "Use Fixed Time Period" for RVWAP to avoid session reset issues Increase i_label_offset on lower timeframes to avoid overlap Combine with volume profile or order flow for confluence The "FV" label marks the Fair Value MA — core anchor Summary"VWAP CATS Background Flipped 4.0" turns any moving average into a dynamic Gann-based pricing grid with intelligent background shading and forward-projected labels — perfect for institutional-style mean reversion, swing targeting, and risk-defined trading."
Indicatore Pine Script®
di surfchaser
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer ## 📊 OVERVIEW **Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system. This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics. ## 🎯 WHAT MAKES THIS ORIGINAL ### **Hybrid Analytical Approach** This indicator uniquely combines two separate methodologies that are typically analyzed independently: 1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes 2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index ### **Six-Factor Composite Analysis** The dominance score integrates: - Price position relative to POC (equilibrium assessment) - Price position relative to Value Area boundaries (acceptance/rejection zones) - Volume imbalance within Value Area (institutional bias detection) - Price momentum (directional strength) - Volume trend comparison (participation analysis) - Normalized Value Area position (precise location within fair value zone) ### **Adaptive Higher Timeframe Integration** The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed. ## 💡 HOW IT WORKS ### **Market Profile Construction** The indicator builds a Market Profile structure on a higher timeframe by: 1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries 2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session 3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows) 4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched ### **Key Level Calculation** **Point of Control (POC)** - Identifies the price channel with the highest accumulated volume - Represents the price level where the most trading activity occurred - Serves as a magnetic level where price often returns **Value Area (VA)** - Starts at POC and expands both upward and downward - Includes channels until reaching the specified percentage of total volume (default: 70%) - Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity - Defines the "fair value" zone where most market participants agreed to trade ### **Dominance Score Formula** ``` Dominance Score = (price_vs_poc × 10) + (price_vs_va × 5) + (volume_imbalance × 0.5) + (price_momentum × 100) + (volume_trend × 5) + (va_position × 15) ``` **Component Breakdown:** - **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium) - **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA - **volume_imbalance**: Percentage difference between upper and lower VA volumes - **price_momentum**: 5-period SMA of price change (directional acceleration) - **volume_trend**: Compares 5-period vs 20-period volume averages - **va_position**: Normalized position within Value Area (-1 to +1) The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness. ### **Market State Determination** - **BUYERS Dominant**: Smooth dominance > +10 (bullish control) - **SELLERS Dominant**: Smooth dominance < -10 (bearish control) - **NEUTRAL**: Between -10 and +10 (balanced market) ## 📈 HOW TO USE THIS INDICATOR ### **Trend Identification** - **Green background** indicates buyers are in control - look for long opportunities - **Red background** indicates sellers are in control - look for short opportunities - **Gray background** indicates neutral market - consider range-bound strategies ### **Signal Interpretation** **Buy Signals** (green triangle) appear when: - Dominance crosses above -10 from oversold conditions - Previous state was not already bullish - Suggests shift from seller to buyer control **Sell Signals** (red triangle) appear when: - Dominance crosses below +10 from overbought conditions - Previous state was not already bearish - Suggests shift from buyer to seller control ### **Value Area Context** Monitor the information table (top-right) to understand market structure: - **Price vs POC**: Shows if trading above/below equilibrium - **Volume Imbalance**: Positive values favor buyers, negative favors sellers - **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL) ### **Multi-Timeframe Strategy** The auto-timeframe feature analyzes higher timeframe structure: - On 1-minute charts → analyzes 2-hour structure - On 5-minute charts → analyzes Daily structure - On 15-minute charts → analyzes Weekly structure - On Daily charts → analyzes Yearly structure This higher timeframe context helps avoid counter-trend trades against the dominant force. ### **Confluence Trading** Strongest signals occur when multiple factors align: 1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup 2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup 3. Price at POC + neutral state = Potential breakout/breakdown pivot ## ⚙️ INPUT PARAMETERS - **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection - **Value Area %**: Percentage of volume contained in VA (default: 70%) - **Show Buy/Sell Signals**: Toggle signal triangles visibility - **Show Dominance Histogram**: Toggle histogram display - **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5) - **Number of Channels**: Market Profile resolution (10-50, default: 20) - **Color Settings**: Customize buyer, seller, and neutral colors ## 🎨 VISUAL ELEMENTS - **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers) - **Zero Line**: Neutral equilibrium reference - **Overbought/Oversold Lines**: ±50 levels marking extreme dominance - **Background Color**: Highlights current market state - **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume) - **Signal Shapes**: Triangle markers for buy/sell signals ## 🔔 ALERTS The indicator includes three alert conditions: 1. **Buyers Dominate** - Fires on buy signal crossovers 2. **Sellers Dominate** - Fires on sell signal crossovers 3. **Dominance Shift** - Fires when dominance crosses zero line ## 📊 BEST PRACTICES ### **Timeframe Selection** - **Scalping (1-5min)**: Focus on 2H-4H dominance shifts - **Day Trading (15-60min)**: Monitor Daily and Weekly structure - **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance ### **Confirmation Strategies** 1. **Trend Following**: Enter in direction of dominance above/below ±20 2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price 3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume ### **Risk Management** - Avoid trading during NEUTRAL states (dominance between -10 and +10) - Use POC levels as logical stop-loss placement - Consider VAH/VAL as profit targets for mean reversion ## ⚠️ LIMITATIONS & WARNINGS **Data Requirements** - Requires sufficient historical data on current chart (minimum 100 bars recommended) - Lower timeframes may show fewer bars per HTF session initially - More accurate results after several complete HTF sessions have formed **Not a Standalone System** - This indicator analyzes market structure and participant control - Should be combined with price action, support/resistance, and risk management - Does not guarantee profitable trades - past dominance does not predict future results **Repainting Characteristics** - Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session - Dominance score recalculates with each new bar - Historical signals remain fixed, but current session data is developing **Volume Limitations** - Uses exchange-provided volume data which varies by instrument type - Forex and some CFDs use tick volume (not actual transaction volume) - Most accurate on instruments with reliable volume data (stocks, futures, crypto) ## 🔍 TECHNICAL NOTES **Performance Optimization** - Uses `max_bars_back=5000` for extended historical analysis - Efficient array management prevents memory issues - Automatic cleanup of session data on new period **Calculation Method** - Market Profile uses actual volume distribution, not TPO (Time Price Opportunity) - Value Area expansion follows traditional Market Profile auction theory - All calculations occur on the chart's current symbol and timeframe ## 📚 EDUCATIONAL VALUE This indicator helps traders understand: - How institutional traders use Market Profile to identify fair value - The relationship between price, volume, and market acceptance - Multi-factor analysis techniques for assessing market conditions - The importance of higher timeframe structure in trade planning ## 🎓 RECOMMENDED READING To better understand the concepts behind this indicator: - "Mind Over Markets" by James Dalton (Market Profile foundations) - "Markets in Profile" by James Dalton (Value Area analysis) - Volume Profile analysis in institutional trading ## 💬 USAGE TERMS This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Indicatore Pine Script®
di Smart-Day-Trader
Price Action ZigZag (Impulses & Corrections)This indicator tracks price structure by connecting significant swing highs and lows—giving a clear, actionable “ZigZag” view of market movement. It automatically maps the underlying price action as alternating impulses (trend legs) and corrections (pullbacks), directly on your chart, for any timeframe. How does it work? Swing Detection: The script uses the user-selected “pivot length” to identify confirmed swing highs and lows with Pine Script’s ta.pivothigh and ta.pivotlow. These pivots only print after full confirmation, making all lines strictly non-repainting. ZigZag Drawing: After pivots are captured, the indicator connects each alternating swing with lines that trace the progression of price structure. Each line segment is mapped according to the sequence and direction of swings: Impulse: Moves that break further away from prior swing in the same direction (continuations/uptrends/downtrends) Correction: Moves that pull price back, but do not extend past the previous impulse (retracements/sideways action) Impulse vs Correction Logic: Bullish impulse: swing from a higher low to a higher high (fast upward moves after a low) Bearish impulse: swing from a lower high to a lower low (fast downward moves after a high) Corrections appear as smaller lines between alternating swing points not leading to new trend extension. Labels & Colors: Impulse lines are drawn teal (customizable), corrections in gray. Tiny labels ("Impulse", "Correction") are shown for clarity (optional). Most recent pivots are highlighted with yellow dots for quick visual reference. Key Features: User-adjustable pivot length controls sensitivity and structure size (scalp to swing). Distinguishes between impulses and corrections instantly on the chart. Labels and color coding for clarity—traders can spot trend continuation vs. pullback at a glance. Non-repainting confirmed pivots and lines; never show incomplete data. Fully customizable appearance—all colors and label display adjustable in settings. Zero lookahead or repainting: all signals use confirmed, historical price only. How to use: Add to any chart and set 'Swing Length' to fit your trading style (shorter for scalping, longer for bigger structure). Follow the ZigZag lines to see when price makes an impulse vs. correction, and use this to identify high-probability momentum or reversal zones. Combine this script with your own analysis/strategy or other indicators for deeper context. Adjust colors and label options for your preferred chart clarity. Disclaimer: This script is a visualization and analysis tool for educational purposes—it does not predict future price movement, guarantee results, or provide trading signals. Always use sound risk management and your own judgment in live trading.
Indicatore Pine Script®
di darshakssc
VWAP – Pivot Pairs (SECONDS‑BASED RESET)VWAP – Pivot Pairs (SECONDS-BASED RESET) is a Pine Script v6 indicator for TradingView that combines pivot-based breakout detection with resettable VWAP (Volume Weighted Average Price) calculations over user-defined rolling time periods in seconds.It identifies high and low swing pivots via breakout logic, then calculates two VWAP lines per anchor:One using high/low as the price source, One using close as the price source. These form "pivot pairs" that reset automatically at the start of each custom-duration period (e.g., every 300 seconds), starting from a user-defined UTC time of day (default: 09:30 UTC).Visuals include:Colored VWAP lines (high pair: red, low pair: green), Semi-transparent fill zones between each pair, Optional toggles to show/hide high or low pairs. Use CasesUse Case Description Intraday Scalping (1–15 min charts) Use 60–300 second resets to capture micro-trends within larger sessions. VWAP pairs act as dynamic support/resistance after breakouts. High-Frequency / Algo Validation Backtest strategies on tick/second charts where traditional session resets fail. Align resets with exchange micro-sessions or volatility windows. Opening Range Breakout (ORB) Enhancement Set period_seconds = 1800 (30 min) and start time = 09:30 UTC → VWAP builds only on first 30 mins post-open, then floats. Pairs show deviation from ORB mean. Range-Bound Market Analysis In choppy markets, VWAP pairs converge near fair value. Divergence signals potential breakout. Fill color intensity shows conviction. Multi-Timeframe Confluence Overlay on 1-second chart with 300s reset → matches 5-minute structure. Use close-based VWAP for entries, high/low-based for stops. Key Features SummaryFeature Function period_seconds Rolling window length in seconds (e.g., 300 = 5 min) period_start_time UTC time-of-day anchor (default: 09:30) new_period logic Triggers full reset of pivots + VWAP on exact second boundary breakingHigher / breakingLower Detects confirmed breakouts (not just close above high) Dual VWAP per anchor ta.vwap(high) and ta.vwap(close) for range-aware mean Fill zones Visual value area between high/close VWAPs Toggle visibility Independently show/hide high or low pivot pairs How It Works – Step-by-StepTime Engine Converts user inputs → milliseconds Calculates current period start time using integer division from epoch Detects exact bar when new period begins (new_period = true) On New Period Resets both high/low anchors to current bar’s h and l Forces VWAP recalculation from this bar forward Breakout Detection Only triggers on strong candles (rising/falling, non-doji) Requires open/close beyond prior pivot → avoids wicks-only breaks VWAP Accumulation ta.vwap(source, reset_condition) restarts when anchor resets Two sources per side → shows where volume clustered (at highs vs closes) Plotting Four lines + two fills Clean, customizable, overlay-friendly Pro TipsUse on Heikin Ashi for smoother breakout signals. Combine with volume profile to validate VWAP clusters. For crypto, set period_start_time = 0 (00:00 UTC) for clean 4-hour resets. Add alerts on new_period or breakingHigher for automation. In short: This is a precision VWAP tool for time-boxed, pivot-driven mean reversion and breakout trading, ideal for scalpers, day traders, and algo developers needing sub-session granularity.
Indicatore Pine Script®
di surfchaser
Aquantprice: Institutional Structure MatrixSETUP GUIDE Open TradingView Go to Indicators Search: Aquantprice: Institutional Structure Matrix Click Add to Chart Customize: Min Buy = 10, Min Sell = 7 Show only PP, R1, S1, TC, BC Set Decimals = 5 (Forex) or 8 (Crypto) USE CASES & TRADING STRATEGIES 1. CPR Confluence Trading (Most Popular) Rule: Enter when ≥3 timeframes show Buy ≥10/15 or Sell ≥7/13 text Example: Daily: 12/15 Buy Weekly: 11/15 Buy Monthly: 10/15 Buy → **STRONG LONG BIAS** Enter on pullback to nearest **S1 or L3** 2. Hot Zone Scalping (Forex & Indices) Rule: Trade only when price is in Hot Zone (closest 2 levels) text Hot: S1-PP → Expect bounce or breakout Action: - Buy at S1 if Buy Count ↑ - Sell at PP if Sell Count ↑ 3. Institutional Reversal Setup Rule: Price at H3/L3 + Reversal Condition text Scenario: Price touches **Monthly L3** L3 in **Hot Zone** Buy Count = 13/15 → **High-Probability Reversal Long** 4. CPR Width Filter (Avoid Choppy Markets) Rule: Trade only if CPR Label = "Strong Trend" text CPR Size < 0.25 → Trending CPR Size > 0.75 → Sideways (Avoid) 5. Multi-Timeframe Bias Dashboard Use "Buy" and "Sell" columns as a sentiment meter TimeframeBuySellBiasDaily123BullishWeekly89BearishMonthly112Bullish → Wait for alignment before entering HOW TO READ THE TABLE Column Meaning Time frame D, W, M, 3M, 6M, 12MOpen Price Current session open PP, TC, BC, etc. Pivot levels (color-coded if in Hot Zone) Buy X/15 conditions met (≥10 = Strong Buy)Sell X/13 conditions met (≥7 = Strong Sell)CPR Size Histogram + Label (Trend vs Range)Zone Hot: PP-S1, Med: S2-L3, etc. + PP Distance PRO TIPS Best on 5M–1H charts for entries Use with volume or order flow for confirmation Set alerts on Buy ≥12/15 or Sell ≥10/13 Hide unused levels to reduce clutter Combine with AQuantPrice Dashboard (Small TF) for full system IDEAL MARKETS Forex (EURUSD, GBPUSD, USDJPY) Indices (NAS100, SPX500, DAX) Crypto (BTC, ETH – use 6–8 decimals) Commodities (Gold, Oil) 🚀 **NEW INDICATOR ALERT** **Aquantprice: Institutional Structure Matrix** The **ALL-IN-ONE CPR Dashboard** used by smart money traders. ✅ **6 Timeframes in 1 Table** (Daily → Yearly) ✅ **15 Buy + 13 Sell Conditions** (Institutional Logic) ✅ **Hot Zones, CPR Width, PP Distance** ✅ **Fully Customizable – Show/Hide Any Level** ✅ **Real-Time Zone Detection** (Hot, Med, Low) ✅ **Precision up to 8 Decimals** **No more switching charts. No more confusion.** See **where institutions are positioned** — instantly. 👉 **Add to Chart Now**: Search **"Aquantprice: Institutional Structure Matrix"** 🔥 **Free Access | Pro-Level Insights** *By AQuant – Trusted by 10,000+ Traders* #CPR #PivotTrading #SmartMoney #TradingView FINAL TAGLINE "See What Institutions See — Before They Move." Aquantprice: Institutional Structure Matrix Your Edge. One Dashboard.
Indicatore Pine Script®
di Nmn0708
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment. 🔑 Key Features and Functionalities Aggregated Multi-Exchange Open Interest (OI): Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges. Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions. Visualized Combined OI Candles: Presents the aggregated total OI data in a candlestick chart format. Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts. Estimated Long/Short OI and Visualization: Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data. Estimation Logic: Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions. Initial 50:50 Ratio: The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance. Flexible Visualization Options: Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends. 💡 Development Background The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics. The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis. Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies. 🚀 Trading Applications Leveraging Combined Open Interest (OI): Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation. Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure. Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes. 📈Utilizing Long/Short OI Trends Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities. Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines. Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure. 🕔Timeframe-Specific Trend Analysis: Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements. Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies. This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Indicatore Pine Script®
di BIGTAKER
6
Zone Tap Counter: Support & Resistance StrengthWhat is this indicator? This script is designed to help traders objectively monitor the strength and significance of price zones by counting and visualizing how many times price “taps” confirmed support and resistance levels. The indicator leverages swing high/low detection to automatically plot relevant zones and uses price tap frequency as an objective strength metric. How does it work? Zone Identification: The script uses the Pine Script functions ta.pivothigh and ta.pivotlow to detect confirmed swing highs and lows on your chart. Each swing high establishes a resistance zone, and each swing low establishes a support zone. Only confirmed pivots are used, ensuring all signals are strictly non-repainting. Tap Counting Logic: For every candle, the indicator checks whether price touches (comes within a small, user-set tolerance) of any currently tracked support or resistance zone. To avoid counting repeated taps in the same move, the script ensures only unique bar taps are registered. Each time price taps a zone, a counter for that zone is incremented. Both the tolerance for taps (percentage-based), and the depth/history of zones tracked are fully adjustable in settings. Visual Feedback: Zones with more taps are drawn darker (lower transparency), making it easy to spot the strongest/hardest-tested levels on the chart. A label on each zone displays the current tap count (e.g., "3x"), giving direct feedback about which support/resistance are most significant in the current view. Only recent zones (user-configurable) are shown to keep charts clear and useful. How to use it: Add the indicator to your TradingView chart. Set the swing length and tap tolerance in settings to match your market or timeframe (short swing length for scalping, longer swings for bigger structure). Watch for zones with high tap counts and darker lines: These zones represent areas where price has repeatedly reacted, suggesting they may be important for your trading decisions. You can adjust the minimum number of taps needed for a zone to be highlighted and the number of zones to display for your preferred visual clarity. Combine this tool with other analysis for confirmation—tap counts should not be seen as trading signals, but as supporting information. Originality & Calculation Details: This script does NOT simply merge or overlay existing indicators. The calculation method is original: it uses swing-based support/resistance and applies unique tap-count logic, designed for objective zone strength visualization. No repainting logic is present. All code and visualization methods are documented and transparent. Disclaimer: This indicator is for educational and analytical purposes only. It does not predict future price movement, guarantee profits, or recommend specific trades. Always use your own analysis and risk management. See TradingView’s House Rules for more details.
Indicatore Pine Script®
di darshakssc
Momentum Squeeze Candle [Darwinian]# Momentum Squeeze Candle Professional squeeze detection indicator with Wyckoff accumulation/distribution analysis and multi-method momentum signals. ## Overview Identifies volatility compression (squeeze) periods and provides intelligent momentum direction signals based on institutional accumulation/distribution patterns. ## Features 6 Squeeze Detection Methods: • BB + KC (Classic) - John Carter's TTM Squeeze • ATR Ratio - Volatility compression detection • Choppiness Index - Ranging vs trending analysis • BB Width - Bollinger Band contraction • Volume Contraction - Drying volume detection • Hybrid Multi-Method - Ensemble approach (3+ methods must agree) Smart Momentum Direction: • Priority 1: Wyckoff signals (ATR compression + volume analysis) • Priority 2: RSI momentum (55/45 thresholds) • Priority 3: Hybrid slope + momentum confirmation Visual Indicators: • Blue candle coloring during squeeze • Green circles = Bullish momentum (accumulation detected) • Red circles = Bearish momentum (distribution detected) • Optional BB/KC band overlay ## How It Works Wyckoff Accumulation (Bullish): ATR compressing + volume drying + price holding above MA = Smart money accumulating → Green circle signals Wyckoff Distribution (Bearish): ATR expanding + volume surging + price failing below MA = Smart money distributing → Red circle signals ## Recommended Settings Swing Trading (Daily/4H): Method: BB + KC or Hybrid | Sensitivity: 1.2-1.5 Day Trading (15m-1H): Method: ATR Ratio or BB Width | Sensitivity: 0.8-1.0 Scalping (1m-5m): Method: Volume Contraction | Sensitivity: 0.7-0.9 High Probability: Method: Hybrid Multi-Method | Min Score: 4/5 | Sensitivity: 1.5 ## Key Advantages ✓ Multiple squeeze detection algorithms for different market conditions ✓ Wyckoff methodology for institutional activity detection ✓ Priority-based momentum system reduces false signals ✓ Clean, optimized code (70% faster than typical indicators) ✓ Fully customizable sensitivity and visual settings ## Usage 1. Choose squeeze detection method based on your trading style 2. Watch for blue candles (squeeze active) 3. Monitor momentum signals: - Green circles below bars = Accumulation phase (bullish) - Red circles below bars = Distribution phase (bearish) 4. Trade the breakout in the direction of momentum signals ## Notes • All inputs hidden from status line by default for clean charts • Works on all timeframes and asset classes • Combine with your trading strategy for confirmation • Best results when multiple priority signals align Perfect for traders looking to identify consolidation periods and predict breakout direction using institutional accumulation/distribution patterns.
Indicatore Pine Script®
di DarwinDarma
EMA + RSI Autotrade Webhook - VarunOverview The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features Simple & Effective: Uses proven EMA 9/21 crossover strategy RSI Momentum Filter: Eliminates low-probability trades in ranging markets Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms Zero Lag Signals: Real-time alerts on crossover confirmation Visual Clarity: Clean chart markers for easy signal identification How It Works Entry Signals: LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed) SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed) Technical Components: Fast EMA: 9-period (tracks short-term price action) Slow EMA: 21-period (identifies primary trend) RSI: 14-period (confirms momentum strength) RSI Long Threshold: 52 (filters weak bullish signals) RSI Short Threshold: 48 (filters weak bearish signals) Best Use Cases Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts Timeframes: Optimized for 15-minute charts (works on 5min-1H) Markets: Trending crypto markets with clear directional moves Risk Management: Best used with 1-2% stop loss per trade (managed externally) Webhook Automation Setup Add indicator to your TradingView chart Create alerts for "LONG Entry" and "SHORT Entry" Configure webhook URL from your exchange (Delta Exchange, Binance, etc.) Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}} Exchange automatically reverses positions on opposite signals Advantages ✅ No manual trading required - fully automated ✅ Eliminates emotional trading decisions ✅ Catches trending moves early with EMA crossovers ✅ RSI filter reduces whipsaws in choppy markets ✅ Works 24/7 without monitoring ✅ Simple two-alert system (easy to manage) ✅ Compatible with multiple exchanges via webhooksStrategy Philosophy This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing) Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals Position Sizing: 100% capital per signal (exchange manages reversals) Stop Loss: 2% (managed via exchange or external bot) Leverage: 1-2x for conservative approach, up to 5x for aggressive Important Notes ⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange ⚠️ Always backtest on historical data before live trading ⚠️ Use proper risk management and position sizing ⚠️ Best performance in trending markets; may generate false signals in tight ranges ⚠️ Requires TradingView Premium or higher for webhook functionalityTags cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
Indicatore Pine Script®
di varuns_back
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform Overview An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives. Evolution Beyond Traditional Fisher Transform While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements: - Multi-period composite instead of single timeframe analysis - Robust z-score normalization using median/MAD rather than mean/standard deviation - Winsorization to handle outliers and price spikes - Dynamic clipping that adapts to market volatility - Kalman filtering for superior noise reduction vs. traditional EMA smoothing These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform. Key Features Multi-Period Analysis - Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods - Weighted Composite: Combines all three periods using customizable weights for optimal signal generation - Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis Advanced Statistical Methods Robust Z-Score Calculation - Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation - More resistant to outliers and extreme price movements - Provides stable normalization across varying market conditions Winsorization - Caps extreme price values at specified percentiles (default 5th and 95th) - Reduces the impact of price spikes and anomalies - Configurable lookback period for threshold calculation Dynamic Z-Score Clipping - Automatically adjusts clipping levels based on recent volatility - Tighter bounds in calm markets (0.05) for precision - Wider bounds in volatile markets (0.2) to capture significant moves - Uses ATR-based volatility measurement Kalman Filter Smoothing - Optional advanced noise reduction using Kalman filtering - Superior to traditional EMA smoothing for optimal signal extraction - Configurable process noise (Q) and measurement noise (R) parameters - Fallback to traditional smoothing factor available How to Use Basic Interpretation - Above Zero: Bullish momentum - Below Zero: Bearish momentum - Extreme Values: Potential overbought/oversold conditions - Crossovers: Entry/exit signals when composite crosses trigger line Customizable Settings Periods: Adjust based on your trading timeframe - Lower values (3-10): More sensitive, suitable for scalping - Medium values (10-20): Balanced for swing trading - Higher values (20-50): Smoother for position trading Weights: Customize responsiveness - Increase short weight: More reactive to recent price changes - Increase long weight: More stability and trend confirmation Kalman Settings - Lower Q (0.001-0.02): Smoother, more filtered signals - Higher Q (0.02-0.1): More responsive to price changes - Lower R (0.01-0.05): Trust data more, less filtering - Higher R (0.1-1.0): More skeptical of data, more smoothing
Indicatore Pine Script®
di B3AR_Trades
ROC & Momentum FusionROC & Momentum Fusion (by HabibiTrades ©) Purpose: “ROC & Momentum Fusion” combines the Rate of Change (ROC) with a MACD-style signal engine to identify early momentum reversals, confirmed trend shifts, and low-volatility choppy zones. It’s built for traders who want early momentum detection with the clarity of trend persistence — adaptable to any instrument and timeframe. ⚙️ How It Works Rate of Change (ROC): Measures the percentage speed of price change over time, showing the raw momentum strength. Signal Line (EMA): A short EMA of the ROC — responds faster to new directional shifts, similar to a MACD signal line. Histogram: Displays acceleration and deceleration between the ROC and its signal line. Persistent Trend States: When the ROC crosses the signal line or zero, the indicator enters a new momentum regime (bullish or bearish) and stays in that color until another flip occurs. Dynamic Choppy Zone: When ROC momentum fades within the zero buffer zone, the indicator turns orange, signaling a sideways or indecisive market. 🟢 Visual Regimes Regime Description Color Bullish Momentum ROC above zero or signal line 🟢 Neon Green Bearish Momentum ROC below zero or signal line 🔴 Neon Red Choppy / Neutral ROC hovering within ±threshold range 🟠 Neon Orange This color system makes it visually effortless to see whether the market is trending, reversing, or consolidating. 🧭 Adaptive Intelligence The script automatically adjusts to market type and session for consistent accuracy: Session Adaptive: Adjusts smoothing based on global sessions (Asian, London, New York, Sydney). Instrument Adaptive: Fine-tunes sensitivity automatically for major assets — NASDAQ (NQ), S&P 500 (ES), Gold (GC), Oil (CL), Bitcoin (BTC). Volatility Normalization: Optionally divides ROC by its own standard deviation to stabilize noisy assets and maintain consistent scaling. 🔔 Signals & Alerts Bullish Reversal: ROC crosses above its signal or zero line — early momentum flip. Bearish Reversal: ROC crosses below its signal or zero line — downward momentum flip. Alerts: Both reversal conditions include built-in alert triggers for automation and notifications. 🎨 Visual Features Main ROC Line: Adaptive EMA of ROC, color-coded by trend regime. Signal Line: Optional white EMA overlay for MACD-style crossovers. Histogram: Visual burst display of acceleration (green/red). Reversal Markers: Optional triangles marking exact crossover points. Threshold Lines: Highlight the zero and buffer zones for visual clarity. 🧩 Best Use Cases Identify early momentum shifts before price confirms them. Confirm trend continuation or exhaustion with color persistence. Detect choppy / low-volatility periods instantly. Works across all timeframes — from 1-minute scalping to weekly swings. Combine with structure, EMAs, or volume for confirmation. ⚙️ Recommended Settings Setting Default Description ROC Period 6 Core momentum length (lower = faster response). Signal EMA Length 3 MACD-style responsiveness (lower = more reactive). Zero Buffer Threshold 0.15 Defines the width of the neutral zone around zero. Choppy Zone Multiplier 1.0 Expands or tightens the orange zone sensitivity. These defaults have been optimized through real-market testing to balance responsiveness and smoothness across different asset classes. ⚠️ Notes The color regime is persistent, meaning once the line turns bullish or bearish, it remains in that state until momentum structurally flips. The orange zone represents momentum uncertainty and helps avoid false entries in range-bound markets. Works seamlessly on any timeframe and with any asset.
Indicatore Pine Script®
di Habibitrades_
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology... Analysis of the balance of power between buyers and sellers with price predictions What This Indicator Does The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail: Main Features: Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power Price Predictions: Estimates next closing level based on current momentum Market State Detection: Identifies 5 different market conditions Visual Signals: Shows directional arrows and price targets How the Trading Logic Works Power Balance Calculation: Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars Calculates Momentum - Uses ATR-normalized momentum to measure trend strength Determines Market State - Assigns one of 5 market states based on conditions Market States: Bull Control: Strong uptrend (75% buyer power) Bear Control: Strong downtrend (75% seller power) Buying Pressure: Bullish pressure (65% buyer power) Selling Pressure: Bearish pressure (65% seller power) Balance Area: Market in equilibrium (50/50) Prediction System: Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction Price Target: Based on ATR multiplied by timeframe factor Configurable Parameters: Analysis Sensitivity (5-50): Controls how responsive the indicator is Low values (5-15): More sensitive, ideal for scalping High values (30-50): More stable, ideal for swing trading Table Position: Choose from 9 positions to display the data table Trading Signals: Green Triangle ▲: Bullish signal, price expected to increase Green Triangle ▼: Bearish signal, price expected to decrease Dashed Line: Shows the price target projection Label: Displays the exact target value Recommended Timeframes: Lower Timeframes (1-15 minutes): Sensitivity: 10-20 Automatic Low TF mode Higher Timeframes (1 hour - 1 day): Sensitivity: 25-40 Automatic High TF mode Important Notes: Always use this indicator in combination with: Market context analysis Proper risk management Confirmation from other indicators Mandatory stop losses The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Indicatore Pine Script®
di LanfryBil