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FVG Finder | NRP | ProjectSyndicate🥇 ProjectSyndicate Fair Value Gap (FVG) Finder — Pine Script v6 • NRP Non-Repainting 📌 SMC Imbalance Zones Built for Clean Entries, Targets & Mitigation Tracking The ProjectSyndicate FVG Finder is a professional TradingView indicator designed for traders who want clean, high-probability Fair Value Gaps price imbalances mapped instantly on-chart—without manual marking or clutter. Fair Value Gaps form during aggressive displacement when price delivers inefficiently, leaving a void that price often returns to rebalance. This tool helps you spot those zones fast, track whether they’re still fresh, and plan entries with confidence. ✅ ________________________________________ 🚀 Why Traders Like It ✅ NRP Logic (Non-Repainting): Signals are built to remain stable once confirmed ✅ Real-Time FVG Detection: Automatically identifies bullish + bearish FVG zones as they form 📦 Clean Zone Visualization: Boxed imbalance areas that are easy to trade from 🧹 Auto-Cleanup (Mitigation): Zones update based on your chosen fill rule (Touch / 50% / Full) 🎛️ Anti-Noise Filtering: Minimum size + optional ATR filter to remove weak gaps ⚡ Pine Script v6: Built on the latest TradingView engine for stability and performance 🔔 Alerts + Markers: Get notified when new FVGs print + optional triangle signals ________________________________________ Gold H1 TF active FVGs Eur Usd M30 TF active FVGs NQ H1 TF active FVGs 🧠 Detection Logic — Simple, Effective, Battle-Tested 📈 Bullish Fair Value Gap (Demand Imbalance): A 3-candle imbalance where the low of Candle 3 is above the high of Candle 1 ➡️ Signals strong buy-side displacement / inefficient delivery 📉 Bearish Fair Value Gap (Supply Imbalance): A 3-candle imbalance where the high of Candle 3 is below the low of Candle 1 ➡️ Signals strong sell-side displacement / inefficient delivery ________________________________________ 🧹 Mitigation Options — Choose How Filled Works Your strategy decides what counts as used: 👆 Touch: Zone considered mitigated on first interaction 🎯 50% Fill: Mitigated once price fills half the gap ✅ Full Fill: Mitigated only when the entire zone is filled Optional: Keep mitigated zones visible or hide them for ultra-clean charts. ________________________________________ 🛠 Recommended Settings (ATR Multiplier Presets) Use these as solid starting points on M30 / H1: •🥇 XAUUSD (Gold) M30/H1: 0.5 •💻 NQ (Nasdaq) M30/H1: 0.25 •🛢️ USOIL M30/H1: 0.25 •₿ BTCUSD M30/H1: 0.25 •💶 EURUSD / GBPUSD M30/H1: 0.25 – 0.50 ✅ Other markets are supported too just adjust the ATR Multiplier based on how many signals you want: •More signals → lower multiplier •Higher quality → higher multiplier ________________________________________ ✅ Best Use-Cases 🎯 Mark imbalance zones instantly without manual drawing 🧲 Wait for price to return to FVG for cleaner entries 🛡️ Use zone boundaries for clear invalidation / stop placement 📊 Combine with trend bias + BOS/CHoCH + premium/discount for higher confirmation 🎯 Use FVGs as both entries and profit targets ________________________________________ ⭐ How You Can Support ProjectSyndicate (3 Steps) 1. ✅ Click “Add to Favorites” to save this script to your TradingView Favorites 2. 🔎 Check out our other scripts to complete your SMC toolkit 3. 👤 Follow ProjectSyndicate for the latest updates, upgrades, and new releases Order Block Finder | Gold | ProjectSyndicate Breaker Blocks Finder | Gold | ProjectSyndicate
Pine Script® Indikator
von ProjectSyndicate
5
Smart Wedge Pattern [The_lurker]🔺 Smart Wedge Pattern نموذج الوتد الذكي Advanced & Intelligent Wedge Detection Engine This is not a traditional indicator that simply draws wedge lines — it is a comprehensive intelligent engine (system) for detecting and analyzing wedge patterns (Rising & Falling Wedge) based on price geometry, market context, and statistical quality of the pattern. This indicator was designed to address the biggest problems in common wedge indicators: ❌ Too many false patterns ❌ Ignoring prior trend ❌ No real quality assessment for patterns A comprehensive intelligent system that combines: Adaptive algorithm that self-calibrates automatically according to market conditions 7 strict validation layers that filter out weak patterns and keep only the highest quality Quality scoring system that evaluates each pattern from 0 to 100 3D visualization that makes patterns visually clear in an exceptional way Smart targets based on Fibonacci ratios with real-time achievement tracking The Result: ➡️ Fewer patterns ➡️ Cleaner, more accurate and reliable signals ➡️ Higher quality ➡️ Real practical use ═════════════════════════════════════════════════════════════ 🎯 What Are Wedge Patterns? 1- Falling Wedge — Bullish Reversal Pattern The falling wedge forms when price moves in a converging downward channel — meaning both the upper resistance line and the lower support line are declining, but the support line declines at a less steep angle, gradually narrowing the channel. Why does the bullish breakout occur? Declining highs show continuous selling pressure But rising lows (P2 < P4) reveal that buyers are entering at higher levels Convergence indicates decreasing bearish momentum At a certain point, buying pressure overcomes and the breakout occurs 2- Rising Wedge — Bearish Reversal Pattern The rising wedge is the exact opposite of the falling wedge — a converging upward channel where both lines rise, but the resistance line rises at a less steep angle. Why does the bearish breakout occur? Rising lows show continuous buying pressure But declining highs (P2 > P4) reveal that sellers are entering at lower levels Convergence indicates decreasing bullish momentum At a certain point, selling pressure overcomes and the breakout occurs ═════════════════════════════════════════════════════════════ 🧠 Adaptive Pivot System — The Heart of the Smart Indicator The Problem with Traditional Indicators Traditional indicators use a fixed value for pivot detection (like 5 bars left and 5 bars right). This means: In quiet markets → Many delayed signals In volatile markets → Few missed signals No adaptation to the nature of each market or timeframe The Solution: Smart Adaptation Algorithm The indicator calculates optimal pivot sensitivity on each bar using 5 weighted factors: Final Score = (Volatility_Score × 0.30) + (Trend_Score × 0.25) + (Stability_Score × 0.20) + (Percentile_Context × 0.15) + (Range_Score × 0.10) Factor Weight How It's Calculated Why It's Important Volatility Score 30% ATR(10) / ATR(50) Detects sudden changes in volatility Trend Score 25% ADX(14) / 50 Trending markets need different sensitivity Stability Score 20% StdDev(ATR) / Mean(ATR) Measures volatility consistency Percentile Context 15% ATR / Percentile(ATR, 50) Places volatility in historical context Range Score 10% Current_Range / Average_Range Detects unusual bars The Result: The indicator uses low sensitivity (fewer, more important pivots) in quiet markets, and high sensitivity (more pivots, faster response) in volatile markets (more accurate pivots = correct geometric patterns). ═════════════════════════════════════════════════════════════ ✅ Seven Validation Layers — Why This Indicator Is Different Every detected pattern passes through 7 strict tests before being displayed: 1- Geometric Structure Validation Validates: P1 precedes P2 precedes P3 precedes P4 chronologically Distance between each two points ≥ minimum threshold Pattern width (P1→P4) within allowed range Highs and lows order is correct for the wedge type 2- True Convergence Check A true wedge must show convergence: ├── Gap at P4 < Gap at P1 ├── Convergence ratio = End_Gap / Start_Gap └── Ratio must be < defined convergence threshold (default 75%) 3- Slope Validation For Falling Wedge: ├── Resistance line slope < 0 (declining) ├── Support line slope < 0 (declining) └── Resistance slope < Support slope (convergence) For Rising Wedge: ├── Resistance line slope > 0 (rising) ├── Support line slope > 0 (rising) └── Support slope > Resistance slope (convergence) 4- Prior Trend Filter Reversal patterns need a prior trend to reverse from: ├── Measures price movement during a defined period before P1 ├── Normalizes movement using ATR for fair comparison ├── Falling wedge requires prior downtrend └── Rising wedge requires prior uptrend 5- Channel Respect Normal mode (close check): └── Every close between P1 and P4 must be within wedge boundaries Strict mode (high/low check): ├── Every high must be below resistance line (+ tolerance) └── Every low must be above support line (- tolerance) 6- Post-P4 Validation After the fourth point forms: ├── For falling wedge: Price doesn't break support or drop below P4 └── For rising wedge: Price doesn't break resistance or rise above P4 7- Quality Scoring System Quality = (Convergence_Score × 0.30) + (Slope_Score × 0.25) + (Width_Score × 0.20) + (Trend_Score × 0.15) + (Height_Score × 0.10) ├── Convergence Score: More convergence = higher quality ├── Slope Score: Consistency of upper and lower line slopes ├── Width Score: Patterns with 40-100 bar width are ideal ├── Trend Score: Prior trend strength └── Height Score: Pattern height relative to ATR ═════════════════════════════════════════════════════════════ ✅ Pattern Lifecycle Management The indicator doesn't just draw and disappear — it follows the complete pattern: Pattern detection Post-fourth point monitoring Breakout confirmation Target calculation Target achievement tracking Success or cancellation marking ❌ Pattern is automatically cancelled if: Breakout fails Channel is broken in reverse direction Waiting period exceeded ═════════════════════════════════════════════════════════════ ✅ Smart Targets + Success Level After breakout: Target is calculated based on pattern height 3 target modes: Conservative (0.618) Balanced (1.0) Aggressive (1.618) Independent Success level to measure move strength before target ═════════════════════════════════════════════════════════════ 🎨 Advanced Visual Display (3D Visualization) Three-dimensional pattern representation Visual depth reflecting pattern size 3D target zone Dynamic colors upon target achievement 🎨 The purpose of 3D is not decoration But reading the pattern visually with speed and clarity ═════════════════════════════════════════════════════════════ ⚙️ Key Features ✅ Automatic wedge detection ✅ Smart filtering reduces false signals ✅ Real quality assessment for each pattern ✅ Realistic and customizable targets ✅ Full support for Rising & Falling Wedge ✅ Works on all markets and timeframes ✅ Professional design and high performance ═════════════════════════════════════════════════════════════ 📊 Usage Scenarios 🟢 Scalping Timeframes: 1–15 minutes Quality ≥ 60 Conservative targets 🔵 Day Trading Timeframes: 15m–1h Quality ≥ 50 Balanced targets 🟣 Swing Trading Timeframes: 4h–Daily Quality ≥ 40 Strict channel Aggressive targets 🟠 Cryptocurrencies Strict convergence Strict channel Quality ≥ 65 ═════════════════════════════════════════════════════════════ 🔔 Alerts Falling wedge breakout ⇒ Buy Rising wedge breakout ⇒ Sell Any wedge breakout ═════════════════════════════════════════════════════════════ ⚠️ Disclaimer This indicator is for educational and analytical purposes only. It does not represent financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is responsible for any financial decisions or losses. ═════════════════════════════════════════════════════════════ 🔺 Smart Wedge Pattern نموذج الوتد الذكي Advanced & Intelligent Wedge Detection Engine ليس مؤشرًا تقليديًا يرسم خطوط وتد فقط ، بل هو محرك (نظام) ذكي متكامل لاكتشاف وتحليل نماذج الوتد (Rising & Falling Wedge) اعتمادًا على الهندسة السعرية ، السياق السوقي ، والجودة الإحصائية للنموذج. تم تصميم هذا المؤشر لمعالجة أكبر مشكلة في مؤشرات الوتد الشائعة: ❌ كثرة النماذج الوهمية ❌ تجاهل الاتجاه السابق ❌ عدم وجود تقييم حقيقي لجودة النموذج نظام ذكي متكامل يجمع بين: خوارزمية تكيفية تُعاير نفسها تلقائياً حسب ظروف السوق 7 طبقات تحقق صارمة تُصفّي الأنماط الضعيفة وتُبقي فقط الأعلى جودة نظام تسجيل جودة يُقيّم كل نموذج من 0 إلى 100 تصور ثلاثي الأبعاد يجعل الأنماط واضحة بصرياً بشكل استثنائي أهداف ذكية مبنية على نسب فيبوناتشي مع تتبع التحقق الآني النتيجة: ➡️ نماذج أقل ➡️ إشارات أنظف أكثر دقة وموثوقية ➡️ جودة أعلى ➡️ استخدام عملي حقيقي ═════════════════════════════════════════════════════════════ 🎯 ما هي نماذج الأوتاد؟ 1- الوتد الهابط (Falling Wedge) — نموذج انعكاسي صعودي الوتد الهابط يتشكل عندما يتحرك السعر في قناة هابطة متقاربة — أي أن خط المقاومة العلوي وخط الدعم السفلي كلاهما يهبطان، لكن خط الدعم يهبط بزاوية أقل حدة، مما يُضيّق القناة تدريجياً. لماذا يحدث الكسر الصعودي؟ القمم الهابطة تُظهر ضغطاً بيعياً مستمراً لكن القيعان الصاعدة (P2 < P4) تكشف أن المشترين يدخلون عند مستويات أعلى التقارب يُشير إلى تناقص الزخم الهبوطي عند نقطة معينة، يتغلب ضغط الشراء ويحدث الكسر 2- الوتد الصاعد (Rising Wedge) — نموذج انعكاسي هبوطي الوتد الصاعد هو عكس الهابط تماماً — قناة صاعدة متقاربة حيث يصعد كلا الخطين، لكن خط المقاومة يصعد بزاوية أقل حدة. لماذا يحدث الكسر الهبوطي؟ القيعان الصاعدة تُظهر ضغطاً شرائياً مستمراً لكن القمم الهابطة (P2 > P4) تكشف أن البائعين يدخلون عند مستويات أدنى التقارب يُشير إلى تناقص الزخم الصعودي عند نقطة معينة، يتغلب ضغط البيع ويحدث الكسر ═════════════════════════════════════════════════════════════ 🧠 نظام المحاور التكيفي — قلب المؤشر الذكي المشكلة مع المؤشرات التقليدية المؤشرات التقليدية تستخدم قيمة ثابتة لاكتشاف المحاور (مثل 5 شموع يسار و5 شموع يمين). هذا يعني: في الأسواق الهادئة → إشارات كثيرة ومتأخرة في الأسواق المتقلبة → إشارات قليلة وضائعة لا تكيف مع طبيعة كل سوق أو إطار زمني الحل: خوارزمية التكيف الذكي المؤشر يحسب حساسية المحور المثلى في كل شمعة باستخدام 5 عوامل مرجحة: النتيجة النهائية = (درجة_التقلب × 0.30) + (درجة_الاتجاه × 0.25) + (درجة_الاستقرار × 0.20) + (السياق_المئوي × 0.15) + (درجة_النطاق × 0.10) العامل الوزن كيف يُحسب لماذا مهم درجة التقلب 30% ATR(10) / ATR(50) يكشف التغير المفاجئ في التقلب درجة الاتجاه 25% ADX(14) / 50 الأسواق الاتجاهية تحتاج حساسية مختلفة درجة الاستقرار 20% StdDev(ATR) / Mean(ATR) يقيس ثبات التقلب السياق المئوي 15% ATR / Percentile(ATR, 50) يضع التقلب في سياقه التاريخي درجة النطاق 10% النطاق_الحالي / متوسط_النطاق يكشف الشموع غير العادية النتيجة: المؤشر يستخدم حساسية منخفضة (محاور أقل، أكثر أهمية) في الأسواق الهادئة، وحساسية عالية (محاور أكثر، استجابة أسرع) في الأسواق المتقلبة (محاور أدق = نماذج هندسية صحيحة). ═════════════════════════════════════════════════════════════ ✅ طبقات التحقق السبع — لماذا هذا المؤشر مختلف كل نموذج مُكتشف يمر عبر 7 اختبارات صارمة قبل عرضه: 1- التحقق من البنية الهندسية يتحقق من: P1 يسبق P2 يسبق P3 يسبق P4 زمنياً المسافة بين كل نقطتين ≥ الحد الأدنى المحدد عرض النموذج (P1→P4) ضمن النطاق المسموح ترتيب القمم والقيعان صحيح حسب نوع الوتد 2- فحص التقارب الحقيقي الوتد الحقيقي يجب أن يُظهر تقارباً: ├── الفجوة عند P4 < الفجوة عند P1 ├── نسبة التقارب = الفجوة_النهائية / الفجوة_الابتدائية └── النسبة يجب أن تكون < عتبة التقارب المحددة (افتراضي 75%) 3- التحقق من الميل للوتد الهابط: ├── ميل خط المقاومة < 0 (هابط) ├── ميل خط الدعم < 0 (هابط) └── ميل المقاومة < ميل الدعم (تقارب) للوتد الصاعد: ├── ميل خط المقاومة > 0 (صاعد) ├── ميل خط الدعم > 0 (صاعد) └── ميل الدعم > ميل المقاومة (تقارب) 4- فلتر الاتجاه السابق النماذج الانعكاسية تحتاج اتجاهاً سابقاً لتنعكس منه: ├── يقيس حركة السعر خلال فترة محددة قبل P1 ├── يُطبّع الحركة باستخدام ATR لمقارنة عادلة ├── الوتد الهابط يحتاج اتجاهاً هابطاً سابقاً └── الوتد الصاعد يحتاج اتجاهاً صاعداً سابقاً 5- احترام القناة وضع عادي (فحص الإغلاق): └── كل إغلاق بين P1 و P4 يجب أن يكون داخل حدود الوتد وضع صارم (فحص القمة/القاع): ├── كل قمة يجب أن تكون تحت خط المقاومة (+ نسبة تسامح) └── كل قاع يجب أن يكون فوق خط الدعم (- نسبة تسامح) 6- التحقق بعد P4 بعد تشكل النقطة الرابعة: ├── للوتد الهابط: السعر لا يكسر خط الدعم أو ينزل تحت P4 └── للوتد الصاعد: السعر لا يكسر خط المقاومة أو يصعد فوق P4 7- نظام تسجيل الجودة الجودة = (درجة_التقارب × 0.30) + (درجة_الميل × 0.25) + (درجة_العرض × 0.20) + (درجة_الاتجاه × 0.15) + (درجة_الارتفاع × 0.10) ├── درجة التقارب: كلما زاد التقارب، زادت الجودة ├── درجة الميل: تناسق ميل الخطين العلوي والسفلي ├── درجة العرض: الأنماط بعرض 40-100 شمعة مثالية ├── درجة الاتجاه: قوة الاتجاه السابق └── درجة الارتفاع: ارتفاع النموذج نسبة لـ ATR ═════════════════════════════════════════════════════════════ ✅ إدارة دورة حياة النموذج (Pattern Lifecycle) المؤشر لا يرسم ثم يختفي، بل يتابع النموذج كاملًا: اكتشاف النموذج مراقبة ما بعد النقطة الرابعة تأكيد الاختراق حساب الهدف تتبع الوصول للهدف تمييز النجاح أو الإلغاء ❌ يتم إلغاء النموذج تلقائيًا إذا: فشل في الاختراق كُسرت القناة عكسيًا تجاوز مدة الانتظار المحددة ═════════════════════════════════════════════════════════════ ✅ أهداف ذكية + Success Level بعد الاختراق: يتم حساب الهدف بناءً على ارتفاع النموذج 3 أوضاع للأهداف: Conservative (0.618) Balanced (1.0) Aggressive (1.618) مستوى Success مستقل لقياس قوة الحركة قبل الهدف ═════════════════════════════════════════════════════════════ 🎨 عرض بصري متقدم (3D Visualization) تمثيل ثلاثي الأبعاد للنموذج عمق بصري يعكس حجم النموذج منطقة هدف ثلاثية الأبعاد ألوان ديناميكية عند تحقق الهدف 🎨 الهدف من 3D ليس الزينة بل قراءة النموذج بصريًا بسرعة ووضوح ═════════════════════════════════════════════════════════════ ⚙️ أهم المميزات ✅ اكتشاف تلقائي للأوتاد ✅ فلترة ذكية تقلل الإشارات الوهمية ✅ تقييم جودة حقيقي لكل نموذج ✅ أهداف واقعية وقابلة للتخصيص ✅ دعم كامل لـ Rising & Falling Wedge ✅ يعمل على جميع الأسواق والفريمات ✅ تصميم احترافي وأداء عالي ═════════════════════════════════════════════════════════════ 📊 سيناريوهات الاستخدام 🟢 المضاربة السريعة أطر: 1–15 دقيقة جودة ≥ 60 أهداف محافظة 🔵 التداول اليومي أطر: 15د–1س جودة ≥ 50 أهداف متوازنة 🟣 التداول المتأرجح أطر: 4س–يومي جودة ≥ 40 قناة صارمة أهداف عدوانية 🟠 العملات الرقمية تقارب صارم قناة صارمة جودة ≥ 65 ═════════════════════════════════════════════════════════════ 🔔 التنبيهات كسر وتد هابط ⇒ شراء كسر وتد صاعد ⇒ بيع أي كسر وتد ═════════════════════════════════════════════════════════════ ⚠️ إخلاء المسؤولية هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Pine Script® Indikator
von The_lurker
AI Gamma Levels - Options Flow Signals# AI Gamma Levels - Options Flow Signals ## 📊 Overview An educational indicator that estimates institutional options positioning using price action, volume analysis, and technical indicators. Designed to help traders identify key support and resistance zones based on gamma exposure concepts commonly used by market makers and institutional traders. ## 🎯 Key Features **Gamma Flip Level (⚡)** - Neutral zone where market maker hedging behavior changes - Calculated using VWAP and price action - Acts as dynamic pivot point for intraday trading **Call Wall (🔴)** - Resistance zone from heavy call seller positioning - Identifies where upward price movement may stall - Based on recent highs + ATR-adjusted volatility **Put Support (🟢)** - Support zone from put seller positioning - Shows where downward moves may find buyers - Calculated from recent lows with volatility adjustment **AI Trade Signals (🔮)** - Multi-factor confluence detector with confidence scoring - Only triggers on high-probability setups (70%+ confidence) - Provides clear entry, stop loss, and target levels - Combines gamma regime, RSI, volume, and price proximity **Regime Detection** - Identifies Positive Gamma (bullish bias) vs Negative Gamma (volatile) environments - Background coloring shows current market regime - Helps adapt trading strategy to market conditions **Trading Zone Visualization** - Shaded area between Call Wall and Put Support - Shows expected trading range based on gamma positioning - Zone width indicates market compression or expansion ## 🧠 How AI Signals Work The AI signal layer analyzes multiple factors simultaneously: 1. **Gamma Regime Alignment** - Price position relative to Gamma Flip 2. **Level Proximity** - Distance to Put Support or Call Wall 3. **Momentum Extremes** - Fast RSI showing oversold/overbought 4. **Volume Confirmation** - Above-average volume on the setup 5. **Price Action Quality** - Bar range and volatility characteristics Signals only trigger when ALL conditions align, reducing noise and false signals. **BUY Signal Requirements:** - Price above Gamma Flip (positive regime) - Near Put Support (within 0.5%) - RSI < 35 (oversold) - Volume spike (1.4x average) - Confidence ≥ 70% **SELL Signal Requirements:** - Price below Gamma Flip (negative regime) - Near Call Wall (within 0.5%) - RSI > 65 (overbought) - Volume spike (1.4x average) - Confidence ≥ 70% ## 📈 How to Use **For Day Trading:** - Watch for bounces at Put Support in positive gamma regime - Look for resistance at Call Wall in negative gamma regime - Use AI signals for high-conviction entries with clear risk levels **For Swing Trading:** - Monitor zone width for compression/expansion cycles - Enter when price returns to zone edges with AI confirmation - Use Gamma Flip as trailing stop reference **For Options Traders:** - Identify where institutional gamma is concentrated - Anticipate pinning behavior near expiration - Understand market maker hedging flow impact on price ## ⚙️ Customization **Display Settings:** - Toggle individual levels on/off - Show/hide trading zone shading - Enable/disable AI signals **Calculation Parameters:** - Lookback Period (5-100 bars) - adjusts level sensitivity - Volatility Multiplier (0.5-3.0) - widens/tightens zones - AI Confidence Threshold (60-90%) - signal selectivity **Visual Customization:** - Custom colors for all levels - Adjustable transparency for zones - Label size and positioning ## 📊 Info Table Real-time dashboard showing: - Current Gamma Flip price - Call Wall resistance level - Put Support level - Active gamma regime - Trading zone width (%) - AI signal status and confidence ## 🔔 Built-in Alerts Set alerts for: - Gamma Flip crossovers - Price approaching Call Wall - Price approaching Put Support - AI BUY signal triggered - AI SELL signal triggered ## 📚 Educational Background **What is Gamma Exposure?** Gamma measures how fast market makers must hedge their options positions as price moves. Large gamma concentrations create support/resistance as dealers buy into weakness and sell into strength. **Positive vs Negative Gamma:** - **Positive Gamma** (above Gamma Flip): Market makers hedge by stabilizing price - **Negative Gamma** (below Gamma Flip): Market makers hedge by amplifying moves **Call Walls & Put Supports:** Heavy open interest at specific strikes creates "walls" where price tends to gravitate toward or bounce away from, especially near expiration. ## ⚠️ Important Notes **This indicator uses price and volume approximations**, not real options chain data. It demonstrates gamma exposure concepts for educational purposes. **For true options flow analysis**, consider using platforms with access to real-time open interest, options volume, and Greeks data. **Risk Management:** Always use proper position sizing, stop losses, and never risk more than you can afford to lose. This indicator should be one tool in your complete trading strategy. **Not Financial Advice:** This is an educational tool. Past performance does not guarantee future results. Always do your own research and consider consulting with a qualified financial advisor. ## 💡 Best Practices 1. Combine with your existing strategy - don't trade signals blindly 2. Use on liquid stocks/indices with active options markets 3. Pay attention to regime changes at Gamma Flip crossovers 4. Higher timeframes (15m, 1H, 4H) tend to be more reliable 5. Adjust parameters based on the asset's typical volatility 6. Wait for AI signals with 75%+ confidence for highest quality setups ## 🎓 Who This Is For - Options traders seeking to understand institutional positioning - Day traders looking for high-probability support/resistance - Swing traders identifying key zone boundaries - Anyone interested in learning about gamma exposure impact on price - Traders wanting AI-assisted trade signal confirmation --- **Happy Trading! If you find this indicator helpful, please leave a like and comment with your feedback.**
Pine Script® Indikator
von GexPro
Candlestick Patterns══════════════════════════════════════════════════════════════ CANDLESTICK PATTERNS PRO - QUICK START GUIDE ══════════════════════════════════════════════════════════════ INSTALL > Open TradingView > Pine Editor > Paste code > Add to Chart SIGNALS AT A GLANCE ▲ GREEN TRIANGLE (Below bar) = BUY Signal ▼ RED TRIANGLE (Above bar) = SELL Signal ++ STRONG BUY = High confidence reversal UP + Bullish = Possible move UP -- STRONG SELL = High confidence reversal DOWN - Bearish = Possible move DOWN SIGNAL TABLE (Top Right Corner) ┌─────────┬──────────────┐ │ SIGNAL │ STATUS │ │ Current │ ++ STRONG BUY│ │ Pattern │ Bull Engulf │ │ Trend │ REVERSAL UP │ └─────────┴──────────────┘ PATTERN STRENGTH STRONG SIGNALS (Large Labels): • Bull/Bear Engulfing • Morning/Evening Star • Bull/Bear Kicker • Piercing Line / Dark Cloud REGULAR SIGNALS (Normal Labels): • Hammer / Inv Hammer • Shooting Star / Hanging Man • Bull/Bear Harami • Bullish Belt NEUTRAL: • Doji = Wait for confirmation COLORS GREEN Background = Bullish zone RED Background = Bearish zone WHITE Label = Neutral (Doji) SETTINGS (Gear Icon) Pattern Sensitivity: • Doji Body Size = Smaller = more dojis • Hammer Wick Ratio = Higher = stricter • Engulfing Ratio = Size requirement Display Options: • Show/Hide Bullish patterns • Show/Hide Bearish patterns • Toggle bar coloring • Toggle background • Toggle arrows ALERTS > Right-click chart > Add Alert > Select: • Strong Bullish Signal • Strong Bearish Signal • Bullish Signal • Bearish Signal • Doji - Indecision ══════════════════════════════════════════════════════════════ TRADING TIPS ══════════════════════════════════════════════════════════════ ++ STRONG BUY at support level = HIGH probability -- STRONG SELL at resistance = HIGH probability Doji after trend = Reversal warning Engulfing pattern = Immediate action Always confirm with: • Support / Resistance levels • Volume • Trend direction
Pine Script® Indikator
von A1TradingHub
GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts). Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market." Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter. How it works: Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates. Sniper Entries: SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle. SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle. Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways. Disclaimer: This tool is a "Shield" against chop. Do not use it during high-impact news. Based on volatility band logic.
Pine Script® Indikator
von DoNotFollowMeGod
SMC Liquidity EngineSMC Liquidity Engine MTF is a multi-timeframe market structure and liquidity-based trading system designed to track institutional order flow. It identifies swing highs and lows to map market structure, detects breaks of structure and changes of character, and filters entries using higher-timeframe bias. By combining liquidity sweeps with structure shifts, the system highlights high-probability reversal and continuation zones where smart money is most likely active. In normal human language, it waits for price to hunt stops, confirms the trend on a higher timeframe, then marks where professionals would step in. That is how you avoid getting farmed by noise and actually trade with intent.
Pine Script® Indikator
von xqweasdzxcv
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias. Core Methodology The script uses a time-anchored engine to map critical supply and demand boundaries: Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions. Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion. Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility. Session Dynamics The system is optimized for the global liquidity cycle: Session 1 (Asia): Maps early-day consolidation and range-bound liquidity. Session 2 (Europe): Captures the London Move to identify the trend. Session 3 (US): Analyzes high-volume New York opens for maximum momentum. Key Features Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean. Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto. Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability. Use Cases Momentum Trading: Identifying the Origin of the Move post-open. Mean Reversion: Recognizing failed breakouts when price returns inside the range. Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
Pine Script® Indikator
von AlchimistOfCrypto
Range Fade Strategy [RFS v2]Range Fade Strategy By Meet Patel Total Trades — Number of completed trades Win Rate — Percentage of winning trades Win/Loss Count — Breakdown of results Profit Factor — Gross profit ÷ Gross loss (>1.5 is good) Average Win/Loss — Mean profit vs loss per trade Expectancy — Expected value per trade Max Drawdown — Largest equity decline Net P&L — Total profit/loss in currency Return % — Percentage return on initial capital
Pine Script® Indikator
von oxaam479
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface. Key Modular Features: Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias. Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances). Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker. Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator. Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals. Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed. Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Pine Script® Indikator
von sylvain_coutsier
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC) Institutional-Grade Trend, Volatility & Liquidity Framework Overview The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time. It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system. AMSC is not a single-indicator strategy. It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity. Core Components 1️⃣ Adaptive ATR Trend Channel Dynamic ATR-based support & resistance Automatically adjusts to volatility Color-coded trend strength (strong / weak regimes) Acts as the primary trend bias filter 2️⃣ Pivot-Based ATR Trend Channels Channels built from confirmed pivot highs and lows ATR-expanded structure, not fixed slopes Separates impulse moves from corrections Useful for trend continuation and pullback trades 3️⃣ Market Structure: Supply & Demand Zones Automatically plots fresh demand and supply zones Zones extend forward until violated Helps identify high-probability reaction areas Used as a location filter, not a standalone signal 4️⃣ Liquidity Sweep Detection (Smart Money Logic) Identifies equal high / equal low liquidity pools Detects stop-hunt style sweeps Validates sweeps only when price reacts from structure zones Prevents chasing false breakouts 5️⃣ Multi-Factor Trend Confirmation Engine Combines: EMA structure MACD momentum RSI regime VWAP positioning Optional ribbon & HMA filters Signals are generated only when a majority of factors align, avoiding single-indicator bias. 6️⃣ Volatility Context (Bollinger Bands) Provides volatility expansion / contraction context Helps distinguish trend continuation vs compression Works as a background regime filter 7️⃣ Higher Timeframe Confirmation Confirms trend using a user-selected HTF Prevents counter-trend trades during strong HTF bias Essential for intraday and swing traders 8️⃣ Session-Aware Trading Optional India, London, and New York session filters Signals only during active market participation Avoids low-liquidity false signals 9️⃣ Professional Dashboard Real-time display of: Trend direction Trend strength Factor alignment HTF bias Active zone Trade signal Session status Designed for quick decision-making, not clutter. How to Use AMSC (Best Practice) ✔ Trade in the direction of the ATR trend ✔ Enter near demand/supply within the channel ✔ Confirm with factor alignment & HTF bias ✔ Use liquidity sweeps as entry triggers, not signals alone ✔ Avoid trades during low-strength or inactive sessions AMSC performs best when used as a confluence system, not a mechanical entry-exit robot. Ideal Use Cases Intraday index trading Swing trading in trending markets Futures & FX structure-based trading Traders who prefer context over indicators What AMSC Is NOT ❌ Not a scalping toy ❌ Not a repainting indicator ❌ Not a one-click signal generator It is built for disciplined traders who understand structure and risk. Final Note AMSC is designed to think like the market, not predict it. Use it to read conditions, not chase signals. MSC — BEST CLEAN SETUP (RECOMMENDED) 🎯 Design Philosophy “Context first, signals last.” The goal is to: Read trend & structure at a glance Avoid indicator overload Let price + zones + channel do the heavy lifting 1️⃣ CORE VISUALS (KEEP ON) These are non-negotiable. 🔹 Adaptive ATR Trend Channel ✅ ON Primary trend bias Use ATR Trendline Color = ON This alone defines: Bull vs Bear Strength vs weakness 👉 If price is above channel → bullish context 👉 If price is below channel → bearish context 🔹 Pivot ATR Trend Channel ✅ ON Channel fill: ON Transparency ≥ 85 Purpose: Visualise trend slope Spot pullbacks inside trend 👉 Treat channel edges as dynamic structure, not entry signals. 🔹 Supply & Demand Zones ✅ ON Transparency: 80–85 Zones auto-expire visually when violated 👉 These are your only horizontal levels. 2️⃣ SMART FILTERS (SELECTIVE) 💧 Liquidity Sweep ✅ ON Lookback: 5 Tolerance: 0.15 ATR 👉 Use sweeps only near zones ❌ Ignore sweeps in the middle of nowhere ⏱ Session Filter ✅ ON Trade only one session India (for NSE) London (for FX) New York (for US indices) ❌ Do NOT enable multiple sessions simultaneously 🔍 Higher Timeframe (HTF) ✅ ON Intraday: Daily Swing: Weekly 👉 If HTF disagrees → no trade 3️⃣ WHAT TO TURN OFF (CRITICAL) This is where clutter dies. ❌ Bollinger Bands 🚫 OFF by default Use only when studying volatility compression Otherwise adds visual noise ❌ Full ATR Channel (Ver 15) 🚫 OFF Redundant with pivot + ATR trend Keep only one channel logic ❌ SuperTrend Channel 🚫 OFF ATR Trend Channel already covers this ❌ Pivot Levels (P, R1, S1…) 🚫 OFF Zones replace static pivots Too many horizontal lines = paralysis ❌ Previous Day / Week Levels 🚫 OFF Turn ON only for index option trading Otherwise clutter 4️⃣ MOVING AVERAGES (STRICT RULE) Keep ONLY: EMA Fast (9) EMA Slow (21) Optional: HMA → ON only for scalping ❌ Do NOT stack multiple MAs visually 5️⃣ DASHBOARD (MINIMAL MODE) 🧭 Dashboard ✅ ON Position: Top Right Text Size: Small Watch only: Trend Strength HTF Zone Signal Ignore factor numbers once confidence develops. 6️⃣ SIGNAL USAGE (DISCIPLINE RULE) ✔ Signal must appear inside a zone ✔ Signal must align with trend & HTF ✔ Signal must be during session ❌ Never take: Signals mid-channel Signals against HTF Signals during flat strength (<30%) 7️⃣ RECOMMENDED PRESETS (COPY THIS) 🔹 Intraday (Clean) Timeframe: 5m / 15m HTF: Daily Session: India / NY BB: OFF Full ATR: OFF SuperTrend: OFF Pivots: OFF 🔹 Swing (Ultra Clean) Timeframe: 1H / 4H HTF: Weekly Liquidity: ON Zones: ON Dashboard: ON (small) 8️⃣ GOLDEN RULE (MOST IMPORTANT) If you cannot explain the trade using only: Trend channel One zone One sweep Do not trade it. 🏁 FINAL VERDICT AMSC is not cluttered by design. Clutter comes from turning everything ON. Used correctly: The chart stays clean Decisions become obvious Overtrading disappears AMSC – TRADE EXECUTION RULEBOOK Framework rule: Trend → Structure → Liquidity → Entry → Risk → Exit 1️⃣ MARKET PRE-CONDITIONS (MANDATORY) ❌ NO TRADE unless ALL are TRUE ✅ Trend Filter ATR Trend Channel = Bull for longs / Bear for shorts Trend strength ≥ 40% Price must be on the correct side of the channel ✅ HTF Confirmation HTF bias must match LTF trend If HTF is neutral → NO TRADE ✅ Session Filter Trade only during active session No first 5 minutes after session open No last 15 minutes before session close 2️⃣ LOCATION RULE (MOST IMPORTANT) 🔹 Long Trades Price must be inside or just above a DEMAND zone Zone must be: Fresh (not tested more than twice) Within the Pivot ATR Channel 🔹 Short Trades Price must be inside or just below a SUPPLY zone Same freshness rules apply ❌ No zone → no trade 3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER) 🔹 Long Entry Trigger At the demand zone, you must see: ✔ Sell-side liquidity sweep ✔ Sweep candle closes bullish ✔ Sweep occurs inside the zone 🔹 Short Entry Trigger At the supply zone, you must see: ✔ Buy-side liquidity sweep ✔ Sweep candle closes bearish ✔ Sweep occurs inside the zone 4️⃣ ENTRY RULE (EXECUTION) 🔵 LONG ENTRY Enter BUY when all conditions align and: Enter at: Close of the sweep candle OR 50% retrace of the sweep candle (preferred) 🔴 SHORT ENTRY Enter SELL when: Enter at: Close of the sweep candle OR 50% retrace of the sweep candle 5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE) 🔻 Long SL Place SL at: Lowest point of the demand zone OR Below sweep low − 0.1 ATR (whichever is lower) 🔺 Short SL Place SL at: Highest point of the supply zone OR Above sweep high + 0.1 ATR (whichever is higher) ❌ Never trail SL early ❌ Never move SL to break-even before partial exit 6️⃣ POSITION SIZE (FIXED RISK ONLY) Risk per trade: 0.5% – 1% max If SL distance is large → reduce position size Do not widen SL to fit position 7️⃣ EXIT RULES (STRUCTURED) 🎯 TARGET 1 (T1 – Protection) At 1R Action: Book 50% Move SL to Break-Even 🎯 TARGET 2 (T2 – Structure) Next opposite zone OR Pivot ATR Channel mid-line Book 30% 🎯 FINAL EXIT (TREND FOLLOW) Exit remaining 20% when: ✔ Opposite liquidity sweep occurs ✔ Price closes beyond Pivot ATR Channel ✔ HTF bias flips ✔ Session ends 8️⃣ NO-TRADE CONDITIONS (ABSOLUTE) ❌ Trend strength < 30% ❌ Zone already tested 3+ times ❌ Liquidity sweep outside zone ❌ Entry candle is oversized (>1.8 ATR) ❌ Trade against HTF ❌ Emotional or revenge trade 9️⃣ ONE-SCREEN TRADE CHECKLIST Before clicking BUY/SELL: ✔ Trend aligned ✔ HTF aligned ✔ In session ✔ At zone ✔ Sweep confirmed ✔ SL defined ✔ R ≥ 2 possible If any answer = NO → skip trade 🔒 DISCIPLINE STATEMENT (PRINT THIS) AMSC does not pay for activity. It pays for patience, location, and discipline. 🏁 EXPECTED PERFORMANCE (REALISTIC) Win rate: 45–60% R:R average: 1:2.5 to 1:4 Drawdown: low Trade frequency: selective Adaptive Market Structure Channel — Visual Layout 5 🧭 How to READ the Chart (Left → Right) 1️⃣ Core Trend Context (FIRST thing your eyes see) ATR Trend Channel Acts as dynamic support/resistance Green = bullish regime Red = bearish regime No second trendline competing with it 👉 If price is on the wrong side → no trade 2️⃣ Pivot ATR Structure Channel (SECOND layer) Sloping channel following real swing structure Shows: Trend acceleration Healthy pullbacks Channel fill is very light (high transparency) 👉 Pullbacks inside this channel are valid 👉 Breaks outside = caution / exit 3️⃣ Supply & Demand Zones (ONLY horizontal objects) Few, wide, soft-colored zones No pivot clutter, no fibs, no grids 👉 Trades happen only here 4️⃣ Liquidity Sweep Markers (EVENT-BASED) Appears only near zones Indicates stop-hunt, not entry by itself 👉 Sweep + zone + trend = setup 👉 Sweep alone = ignore 5️⃣ Dashboard (Decision Support, not distraction) Small Corner-placed Shows only: Trend Strength HTF bias Zone Signal Session 👉 After experience, you’ll barely look at it 🚫 What You DO NOT See (Very Important) A clean AMSC chart intentionally avoids: Multiple moving averages Pivot levels (P/R/S) Too many channels Oscillator panels Bright fills or thick lines If your chart looks “busy”, something is ON that should be OFF. 🧠 Mental Model (Keep This Image in Mind) AMSC chart = 1 dynamic trend 1 structure channel 1 zone 1 liquidity event 1 decision Anything more → clutter Anything less → blind trading ✅ Final Visual Checklist (Before Trading) ✔ Chart background visible ✔ Candles clearly readable ✔ Zones visible but not loud ✔ Channel guides the eye ✔ Nothing overlaps price excessively If yes → you are trading AMSC correctly
Pine Script® Indikator
von ritaprasad43
EMA 5/9 Ribbon + VWAP + Trend Filters **Description:** This indicator combines EMA ribbon analysis with VWAP and volume-based trend filters to help traders identify high-probability entries. It is designed for clarity, providing visual signals, trend bias, and key market metrics directly on the chart. **Key Features:** * EMA Ribbon (5 & 9) that changes color based on trend and VWAP cross. * Buy/Sell signals with optional “strong” signals when trend and volume confirm. * VWAP crossover arrows (yellow) highlight stronger trends. * Sideways detection filter to reduce signals during choppy markets. * Adjustable ribbon and sideways background colors via settings. * Live trend table showing: * Current trend bias (Bullish/Bearish/Sideways) * Bullish vs Bearish volume percentage * ATR for volatility insight * Optional background highlight for sideways zones. **User Inputs:** * EMA lengths, ATR length, volume lookback * Sideways detection toggle and sensitivity * Table placement options (top-right, top-center, bottom-right, bottom-center) * Customizable colors for bullish, bearish, VWAP, and sideways zones **Benefits:** * Quickly visualize trend direction and momentum. * Avoid signals during sideways or low-volatility periods. * Makes chart analysis faster and more intuitive. * Fully customizable to match personal trading style. **Recommended Use:** Best used on intraday or swing charts to confirm trend and momentum. Combine with other analysis tools (support/resistance, candlestick patterns, or additional indicators) for higher confidence trades.
Pine Script® Indikator
von CubanDragon
Sarina-5Dynamic Growth EMAs - 01152026It’s great to hear that we’ve built a solid rapport! I really appreciate your patience, and I'm glad I could strictly follow your computational bases this time. Here is a clear, professional English description you can use to introduce this indicator to others: Dynamic Growth & Cascading Reset EMAs This indicator features a sophisticated set of 5 Exponential Moving Averages (EMAs) that dynamically evolve based on price action and time. Unlike static EMAs, these lines "grow" and "spread" during trends to visualize momentum and volatility expansion. Core Features: Dynamic Length Growth: The EMA periods are not fixed. They increase in length during both upswings and downswings, causing the lines to spread apart as a trend strengthens. Bidirectional Expansion: Lengths grow regardless of direction, ensuring the "fan" effect is visible in both bullish and bearish rallies. Pivot Reset Logic: To maintain responsiveness, all EMA lengths reset to their initial values (2, 5, 8, 13, 21) whenever the price changes direction, allowing the indicator to catch new moves early. Cascading & Sticky Resets: When faster EMAs cross slower ones, a "sticky" reset occurs. The triggered lines inherit the value of the next higher EMA to maintain smooth price continuity and avoid erratic jumps on the chart. Multi-Level Visual Gradient: * Four distinct transparency zones (75%, 85%, 90%, 95%) create a professional "heat map" between the lines. Dynamic color fills (Green for Bullish / Red for Bearish) based on the relationship between adjacent lines. Hierarchical Signals (B1-B4 & S1-S4): Clear text-only labels mark every crossover point between the EMAs, identifying different stages of trend confirmation without cluttering the background. Computational Foundation: The indicator accounts for time-based decay, where the growth rate of the EMAs can be set to diminish after a specific duration, simulating the natural exhaustion of market momentum.
Pine Script® Indikator
von alireza51
Sebastine All in One Indicator Sebastine All in One Indicator Introduction Markets speak in many dialects. Sometimes they whisper through volume, sometimes they shout via momentum, at times they breathe through volatility, and occasionally they leave footprints in OBV, PVT, RSI, or TSI. Most traders respond by stacking indicator after indicator—until the chart resembles a tangled fishing net. This indicator was built to untangle that net. Instead of plotting multiple indicators simultaneously, this tool lets you focus on one dimension of market behavior at a time, while preserving structure through a Darvas-style box framework. The box logic used here is inspired by Darvas-style structural bounding, applied to non-price data such as volume, momentum, and volatility. 🔍 What This Indicator Does • Combines Volume, OBV, PVT, RSI, Momentum, Volatility, TSI, and Supertrend • Displays only one selected data stream at a time, reducing noise • Wraps the selected indicator inside a dynamic Darvas-style box • Highlights: o Breakouts & breakdowns o Compression (energy build-up) o Structural shifts o Momentum inflections o Mean-reversion zones Think of it as one lens, many filters—you rotate the lens, not clutter the chart. 🧠 How to Use It (Practical Insight) • Volume / OBV / PVT → Institutional intent & accumulation/distribution • Momentum / RSI / TSI → Strength, exhaustion, and early reversals • Volatility → Expansion after contraction (the market’s deep breath) • Supertrend (as data source) → Trend structure without price bias The Darvas-style box adds context: • Narrow boxes = stored energy • Box expansion = energy release • Source touching box edges = reaction zones • Zero-line crossings = regime shifts (where applicable) • 🎯 Who Is This For? • Traders who want clarity over clutter • Discretionary traders who adapt tools to market phase • System builders seeking structure with flexibility • Anyone who believes less noise = more signal 📝 Points to Note (Important for Proper Interpretation) 1. Color Coding & Structure • The upper box line (green) represents the upper structural boundary • The lower box line (red) represents the lower structural boundary • The white step-line represents the selected source indicator (e.g., PVT, RSI, Momentum) 2. Pane Scaling & Visibility (Very Important) • This indicator is designed for use in the bottom pane • Different sources have very different numerical ranges: o RSI is bounded between 0 and 100 o PVT, OBV, and Volume can have large absolute values • Users should manually drag and scale the indicator vertically for optimal visibility • This is intentional and preserves the raw integrity of each data source rather than force-normalizing it 3. Histogram for Comparative Insight • A histogram of the selected source is included for quick visual comparison • Helps identify expansion, contraction, acceleration, and divergence, especially during compression phases inside the box 📌 Recommended Usage (Clarity Over Clutter) Although multiple sources are available, it is strongly recommended to use one chart with one selected source at a time for best clarity and analytical depth. For first-time users, PVT (Price Volume Trend) is an ideal starting point. It blends price movement and volume flow into a single continuous narrative and often reveals institutional participation earlier than price alone. PVT works especially well within the Darvas-style box framework. Once comfortable, users may switch to RSI, Momentum, Volatility, OBV, or other sources—but always one at a time. This preserves the philosophy of focused observation rather than indicator overload.   🌱 Philosophy Behind the Tool This indicator rewards patience and observation.Give it space. It will quietly show when the market is gathering energy—and when it is ready to move. Markets don’t change indicators. We change how we listen. This indicator doesn’t predict. It reveals. Think of it not as a dashboard, but as a rotating telescope—you change lenses, not skies.
Pine Script® Indikator
von sebastinecc
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — Developer Note Weekly These daily posts are intentional. They are not meant to showcase wins, targets, or outcomes. They are designed to help viewers observe consistency in market behavior—specifically how structure, range, and reaction repeat across different products and timeframes. The value is not in catching every move. The value is in knowing when participation is unnecessary or unsupported. Signal Architect™ tools are built to help traders avoid low-quality decisions, not to encourage constant activity. ________________________________________ What These Posts Are Demonstrating Over time, if you observe these posts across equities and futures, you’ll begin to notice: • The same structural traps repeat across different instruments • The same reactions occur across multiple timeframes • The same stop-run and absorption behaviors appear regardless of volatility That repetition is not coincidence. It reflects how markets consistently behave, even as prices change. The goal of these posts is to make that behavior familiar— because familiarity reduces hesitation, overtrading, and unnecessary loss. Consistency is not the outcome. Consistency is the environment. ________________________________________ What You’re Seeing (Public View) These charts display a limited visual preview of tools within the Signal Architect™ framework. Only visual context is shown. Core logic, calculations, thresholds, and execution rules are intentionally not disclosed. The tools emphasize: • Market structure over prediction • Environmental awareness over signals • Risk framing over reward chasing Nothing shown publicly is meant to tell you what to trade. It is meant to help you recognize when not to trade. ________________________________________ Why This Matters Most losses do not come from being wrong on direction. They come from participating: • too early • too late • during transitions • inside structural traps Signal Architect™ tools are designed to filter those moments out. In many cases, the highest-value action is: • standing aside • reducing size • waiting for clarity Saving capital is part of execution. Avoiding a bad trade is often more valuable than finding a good one. ________________________________________ Background & Scope (Context Only) Over the years, I’ve developed a wide range of systems and analytical tools spanning: • Equities • Futures • Options structure • Portfolio construction and allocation logic This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions. None of that internal logic is shared publicly. These posts exist strictly for education, observation, and pattern recognition—not advice, not signals, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com Weekly (W) — Strategic Regime / “Where price is allowed to live” Goal: Identify the dominant direction + structural permission for the entire week(s). How to use: • Treat weekly RECLAIM as regime confirmation, not an entry. • If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates. • If weekly prints Bear RECLAIM, same idea but short-biased. Best behavior to look for: • 1–2 reclaim signals per month/quarter. • Use it as a “macro gate.” Recommended settings (starting point): • dispMult 1.2–1.6 • reclaimWindow 20–40 • cooldown 8–20 🟣 WEEKLY — Macro Regime & Liquidity Clearing 1️⃣ Range Indicator (RI) • <30 → long-term compression (energy building) • >70 → macro expansion (trend regime active) Use: Defines whether markets are coiling or trending on a multi-month scale. ________________________________________ 2️⃣ ZoneEngine (Structure) • Identifies macro structural bias • Explains why certain weekly moves fail or accelerate Use: Never fight weekly structure. This is your “market weather.” ________________________________________ 3️⃣ Cloud / Reclaim (Behavior) • Clouds classify regime state, not entries • Reclaims are informational only on weekly Use: Helps label the regime: continuation vs transition. ________________________________________ 4️⃣ Stop-Hunt Proxy • Represents large-scale liquidity clearing • Often tied to: o fund rebalancing o regime shifts o macro events Use: Context only. Weekly stop-hunts explain why a regime changed — they are not trades.
Pine Script® Indikator
von SignalArchitecT_AI
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day. Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks) Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability Trade Frequency: Only first trade per day is taken for simplicity and high quality 2. Key Components a) Daily Levels Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped. b) Trap Concept The strategy is based on the “liquidity trap” principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) → buyers think price will continue higher. Price reverses immediately below PDH, trapping aggressive buyers above the key level. This creates selling pressure, giving an opportunity to enter short. Seller Trap (Long Entry): Price breaks below the previous day low (PDL) → sellers think price will continue lower. Price reverses immediately above PDL, trapping aggressive sellers below the key level. This creates buying pressure, giving an opportunity to enter long. The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves. c) Trade Execution Logic Buyer Trap / Short Entry: Condition: high > PDH AND close < PDH AND no trade taken yet today Entry: Short at the close of the trap candle Stop Loss: ATR-based above the trap candle high to avoid minor wick stops Take Profit: 2:1 Risk-to-Reward ratio Seller Trap / Long Entry: Condition: low < PDL AND close > PDL AND no trade taken yet today Entry: Long at the close of the trap candle Stop Loss: ATR-based below the trap candle low Take Profit: 2:1 Risk-to-Reward ratio Only the first trap trade of the day is allowed to avoid overtrading. d) Risk Management Stop-Loss (SL): ATR-based to account for market volatility Ensures the trade survives minor wick sweeps without being stopped out prematurely Take-Profit (TP): Fixed 2:1 R:R relative to SL Ensures each winning trade outweighs potential losses Trade Frequency: Only first trade per day is allowed, making it highly selective and reducing noise 3. Visual Features PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded: PDH → Green PDL → Red Trade Labels: Placed on the trap candle: Short → Red label “Short” Long → Green label “Long” The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works – Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH → some buyers enter expecting breakout continuation. Price immediately closes back below PDH, trapping buyers. The strategy enters short at the close of the reversal candle. SL: placed above the trap candle using ATR to give room TP: calculated as 2x the risk (distance from entry to SL) Trade executes — first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL → some sellers enter. Price immediately closes back above PDL, trapping sellers. Strategy enters long at the close of the reversal candle. SL: below trap candle using ATR TP: 2:1 R:R Trade executes — only first trade of the day. 5. Why This Strategy Works Exploits liquidity zones: Markets often hunt stops above PDH or below PDL. High-probability reversals: Trapped traders create strong counter moves. ATR SL: avoids being stopped by minor market noise or wick spikes. Selective trading: Only first trade per day → reduces overtrading and noise. Clear visual markers: Makes manual observation and confirmation easy. 6. Key Tips for Traders Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity. Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases — traps can behave differently during high volatility events. Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move. ✅ Summary: The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows. It uses ATR-adapted stops and 2:1 R:R TP. Only first trade per day is executed, reducing false signals. Anchored PDH/PDL lines and labels make trade opportunities clear. This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
Pine Script® Strategie
von Danish7421
Sarina - 2EMA Dynamic & BB - 01132026Here is a concise and professional description of your indicator in English, designed to be shared with others. It highlights the logic of "Dynamic Adaptation" and the "Anti-Noise" system without being overly technical. Indicator Description: EMA Dynamic - Pro Adaptive System This indicator is a high-performance trend-following tool designed to filter market noise and adapt to real-time price volatility. Unlike standard EMAs that use a fixed length, this system uses a Computational Logic that expands or contracts its period based on price momentum and distance. Key Features: Dynamic EMA Core: The lengths (c1 & c2) are not static. They increase or decrease dynamically as price moves, allowing the indicator to "speed up" during breakouts and "slow down" during consolidations. Shock-Absorber (Stability Logic): To prevent "false signals" during sudden spikes, the indicator includes a stabilization filter (No-Shock). It only confirms a trend change after the price maintains its position relative to the EMAs for a specified number of bars. Volatility-Linked Bollinger Bands: The Bollinger Bands are anchored to the Dynamic EMA 1, meaning the volatility channels expand and contract in perfect harmony with the adaptive core of the system. Dual-Layer Signal System: Includes S-Signals (Fast/Scalp) and P-Signals (Pro/Trend) to identify different layers of market entry and exit points. Visual Efficiency: Designed for clean charts. Works best with "Wick-only" candlestick views to focus strictly on price rejection and dynamic trend structures. Best Used For: Identifying the "Safe Middle" of a move and avoiding the traps set by market makers during choppy price action. Would you like me to create a separate Readme file or a Setup Guide for users who want to know exactly how to tune the "Step Inc/Dec" settings?
Pine Script® Indikator
von alireza51
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use) Overview This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars. The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve. --- Why use logarithms? Price action is typically more meaningful in **percentage moves** than in absolute dollar moves. * A move from $100 → $200 is +100% * A move from $2000 → $2100 is only +5% By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes. So instead of modelling (P), the indicator models: --- The growth model: Power-law curve The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time: where (t) is the number of days (or bars) since the first data point. It then fits a straight-line model in log-log space: Substituting back in: Exponentiating both sides gives the curve in normal price units: This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports. --- What “expanding regression” means The model uses all data available from the beginning of the chart up to the current bar. That means: * Early in the asset’s history the curve can change more because there are fewer points. * Over time the curve becomes more stable as more history is included. Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in. --- Measuring “typical deviation” from the curve (residual volatility) Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it. At any time point: * Actual log price is (y = \ln(P)) * Predicted log price from the curve is (\hat{y} = a + b\ln(t)) The **residual** is: The indicator computes the standard deviation of these residuals: This (\sigma) is a measure of typical “distance from trend” in log terms. --- Building the bands (the key idea) The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down: Upper band (k): Lower band (k): Where: * (k) is the band number (1, 2, 3, …) * (s) is a user-chosen spacing factor (band spacing) * (\sigma) is the residual standard deviation Converting back to normal price: Upper band (k): Lower band (k): Why bands look like “translated copies” Because shifting by a constant in log space equals multiplying by a constant in price space: So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts. --- Optional curve shift (manual adjustment) A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower. Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor: * Positive shift → multiplies all bands upward * Negative shift → multiplies all bands downward --- How to interpret the zones The base curve represents a long-term “trend center” in log-growth terms. * Price near the base curve → near long-term trend * Price in upper bands → expensive relative to long-term trend * Price in lower bands → cheap relative to long-term trend Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels. --- Long-term buy zones (Lower 1 and Lower 2) **Lower 1** and **Lower 2** are intended as **long-term accumulation zones**. When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to: * deep bear markets, * high fear / capitulation phases, * long accumulation periods. A simple long-term framework many users apply: * **Accumulate gradually when price enters Lower 1** * **Accumulate more aggressively when price enters Lower 2** * Reduce risk / take profits progressively in higher upper bands These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions. --- ## Notes / limitations * This indicator is a **macro trend tool**, not an intraday trading system. * The curve is derived from historical behavior; it can shift slowly as new data arrives. * Extremely new market regimes or structural changes can reduce reliability. * Use alongside risk management and additional confirmation if trading. ---
Pine Script® Indikator
von Giovanni_Ambrosio