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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
אינדיקטור Pine Script®
מאת ‎ProjectSyndicate‎
5
Spring & Upthrust Trap (Zeiierman)█ Overview Spring & Upthrust Trap (Zeiierman) is a Wyckoff-style “range sweep” indicator that highlights liquidity traps using a simple ZigZag pivot structure. It’s designed to catch the moment price briefly breaks a range boundary to trigger stops, then quickly snaps back into the range (rejection). ⚪ What It Detects A Spring (Bull) is a downside fakeout. Price sweeps below the range boundary (taking liquidity), then rejects and returns back above the opposite boundary. In other words, it looks bearish for a moment, then flips bullish as the sweep fails. An Upthrust (Bear) is the upside version. Price sweeps above the range boundary, then rejects and falls back through the opposite boundary. It looks bullish briefly, then flips bearish when that breakout fails. █ How It Works ⚪ 1) Pivot Extraction (ZigZag Structure) The script first compresses price into a small set of swing pivots using a ZigZag-style method driven by ZigZag Length. A bar becomes a pivot when it is the highest/lowest point inside the lookback window. ⚪ 2) Pattern Framing (X → A → B → C) When there are at least four pivots available, the script maps the most recent pivot sequence into four labeled points: X and A define the range boundaries (the box height is based on |A − X|) B is the sweep pivot (the “fakeout” that breaks a boundary) C is the rejection/snapback pivot that confirms the sweep failed This is the minimum structure needed to define a trap without overfitting. ⚪ 3) Sweep Sizing (Filtering Noise vs Real Sweeps) Not all boundary breaks are meaningful. The script measures sweep magnitude relative to the range size: Sweep Fraction: |B − X| / |A − X| This does two things: Filters tiny pokes through a boundary (often random noise) Filters extremely large breaks that are more likely to be true trend continuation rather than a trap This is controlled by: Min Sweep (minimum required violation) Max Sweep (maximum allowed violation) ⚪ 4) Spring vs Upthrust Logic (Directional Trap Detection) The script then decides which trap is forming: Spring (Bull) A downside sweep that fails: price breaks below the boundary, then returns strongly back through the opposite side. Upthrust (Bear) An upside sweep that fails: price breaks above the boundary, then returns strongly back through the opposite side. █ How to Use ⚪ Interpreting a Spring (Bull) A Spring is best treated as a failed breakdown. The sweep suggests stops were taken under the range, but the snapback implies that the market rejected lower prices. Common behaviors after a good Spring: fast reclaim back into the range retest of the boundary from above (acceptance test) continuation away from the sweep area if buyers remain in control ⚪ Interpreting an Upthrust (Bear) An Upthrust is a failed breakout. Stops get taken above the range, but the price cannot hold outside and collapses back into/through the structure. Common behaviors after a good Upthrust: rejection wick and rapid return retest of the boundary from below continuation downward if sellers remain in control █ Settings ZigZag Length – pivot sensitivity. Higher = smoother, fewer signals. Lower = more pivots, more traps. Show Patterns – detect Springs only, Upthrusts only, or both. Min Sweep – minimum sweep size relative to range height (filters micro sweeps). Max Sweep – maximum sweep size relative to range height (filters “real breaks”). Confirm Pad – extra snapback requirement beyond the boundary (adds confirmation). ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
אינדיקטור Pine Script®
מאת ‎Zeiierman‎
10
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.
אינדיקטור Pine Script®
מאת ‎The_lurker‎
Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️ This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using: 📊 DATA ACCURACY LEVELS: • 1T (Tick) — Most accurate, real volume distribution per tick • 1S (1 Second) — Reasonably accurate approximation • 15S (15 Seconds) — Good approximation, longer historical data available • 1M (1 Minute) — Rough approximation, maximum historical data range ⚠️ BACKTEST & REPLAY LIMITATIONS: • Replay mode results may differ from live trading due to data availability • For longer back test periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks 💡 A NOTE ON TOOLS: Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. 📌 OVERVIEW Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action. The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups. ⚡ KEY FEATURES 🎯 16-Pattern Scenario Engine Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps. 💰 Trade Advisor Panel Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations. 📊 Volume Engine Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis. 📈 CVD (Cumulative Volume Delta) Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences. 🎯 Stop-Hunt Detection Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing. 📐 Pure Structure Trend Engine Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators. ⚡ Effort vs Result Analysis Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion. 🎯 SCENARIO ENGINE — 16 Market Patterns The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios: Continuation Scenarios (1-3) 1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation. 2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor. 3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation. Reversal Scenarios (4-6, 13-16) 4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected at a level, potential reversal. 5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen. 6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading. 13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal. 14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal. 15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move. 16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move. Range/Stalemate Scenarios (7-9) 7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning. 8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle. 9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout. Pre-Breakout Scenarios (10-12) 10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing. 11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing. 12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected. 💰 TRADE ADVISOR ENGINE The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system: Scoring Weights: • Scenario Signal: 30% • Trend Alignment: 20% • CVD Momentum: 15% + Divergence Bonus • Pin Forces: 15% • Liquidity Sweep: 12% • Stop-Hunt Detection: 10% • Effort vs Result: 10% Possible Actions: • ⏳ WAIT — Edge not strong enough (stay patient) • 🟢 LONG ENTRY — Buyers have strong advantage + signals align • 🔴 SHORT ENTRY — Sellers have strong advantage + signals align • ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip) • 🛑 STOP LOSS — Price hit risk threshold • 💰 TAKE PROFIT — Target threshold reached 📊 EXTENDED INFO PANEL (Detailed Explanations) The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines: CVD ANALYSIS What is CVD? Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone. CVD Value & Slope: • ↗ Rising: CVD increasing = net buying pressure (bullish) • ↘ Falling: CVD decreasing = net selling pressure (bearish) • → Flat: No clear pressure direction Accumulation vs Distribution: • Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias. • Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias. Divergence Alerts: • ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP. • ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN. WICK ANALYSIS Wick Torque: Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency. • Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices. • Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices. • ⚡ High Torque (>30): Strong signal, significant wick rejection occurred. Stop-Hunt Detection: The engine detects when price has likely swept stop-losses clustered at key levels: • Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt. • "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP. • "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN. LIQUIDITY SWEEPS This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing: • 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN. • 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP. POWER BALANCE The Power Balance meter shows the real-time strength comparison between buyers and sellers. Force Ratio: • 0% = Complete seller dominance • 50% = Perfect balance • 100% = Complete buyer dominance Visual Bar: • Left side (▓): Bear territory • Right side (▓): Bull territory • The bar is smoothed over recent history to reduce noise. EFFORT vs RESULT This section measures the efficiency of price movement relative to volume expended. Energy: How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity. Ground: How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement. STALL Warning: A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal. MARKET PHASE The Phase Engine classifies the current market regime: RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution. BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction. TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries. Strength: 0-100% score combining slope, volume validity, and force/efficiency filters. Bars: How many candles the current phase has persisted. TRACK RECORD (Validation Panel) Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions: Accuracy: Percentage of validated predictions that were correct. Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol. Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation. ⚙️ SETTINGS GUIDE 📊 Volume Analysis Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data). Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe. History Depth: Candles stored in memory (5-50). Higher = more context, slower. Memory Lookback: Bars for moving averages and Z-scores (10-100). 🏷️ Market Phase Range Zone Width: How much of channel center is considered "range" (0.1-0.8). Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive. Min Episode Length: Minimum bars before phase can change. Prevents flickering. 🎯 Scenarios Min Confidence to Show: Only display scenarios above this confidence level (30-90). Bars to Validate: How many bars to wait before checking if prediction was correct. Success Move %: Minimum price movement to consider prediction successful. 💰 Trade Advisor Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90). Default Risk %: Stop loss distance as % of price (0.5-5.0). Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0). 🔔 ALERT CONDITIONS The indicator provides the following alert conditions you can configure: • 🟢 LONG Entry Signal • 🔴 SHORT Entry Signal • ⚠️ Close LONG Signal • ⚠️ Close SHORT Signal • 🛑 STOP LOSS Alert • 💰 Take Profit Alert • 🚨 High Urgency Signal ⚠️ IMPORTANT DISCLAIMER EDUCATIONAL TOOL ONLY This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted. The Trade Advisor is NOT a recommendation to buy, sell, or invest. • Past performance does not guarantee future results • All trading involves risk of loss • The creator is not a licensed financial advisor • Always do your own research (DYOR) • Consult a qualified financial advisor before making any investment decisions By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
4
Institutional Engine SAFEThe Institutional HTF → LTF Execution Engine is a multi-timeframe trading indicator designed to identify high-probability institutional-level entries by analyzing higher timeframe (HTF) trends and projecting them onto lower timeframe (LTF) charts. This tool integrates trend analysis, liquidity sweeps, fair value gaps, intermarket divergence, and risk management to provide traders with actionable BUY and SELL signals. It is ideal for day traders, scalpers, and swing traders seeking structured entries aligned with larger market flow.
אינדיקטור Pine Script®
מאת ‎mkinteh‎
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
אינדיקטור Pine Script®
מאת ‎A1TradingHub‎
eBacktesting: MultieBacktesting: Multi is an all-in-one chart toolkit built for structured day-trading study: multi-timeframe levels, “clean” movement zones, session context, bias, candle normalization, gaps, and a powerful alert system — all from one indicator. What it can show on your chart 1) Multi-timeframe Support/Resistance (S/R) markup - Detects and plots S/R levels from up to 8 configurable timeframes (mix HTF + LTF). - Optional labeling styles: Simple, Type (S/R), or Directional. - Optional price labels next to levels. - Levels cleanup (decongestion): hides clustered levels to keep the chart readable - Grouping: can group timeframes that share the same level into a single line. - Level invalidation: levels can disappear after X passthroughs (with a “getting weaker” dashed style when close to invalidation). 2) Psychological levels (round numbers) - Automatically draws round-number lines at a practical interval (with optional manual interval control). - Has smart defaults for common markets (e.g., indices, BTC, metals). 3) Levels heatmap - Shows level density as shaded “pressure areas”: areas where an agglomeration of S/R levels are present - Can be simple or persisted (so you can study where price repeatedly reacts) 4) Repeated levels highlight - Highlights “same area again” levels using a tolerance setting. - Can require same direction (support with support / resistance with resistance) or allow any direction. 5) LTAs (Low Traffic Areas) - Marks “air pockets” between levels where price can travel fast. - Can be built from: - S/R spacing (between detected levels), or - Candle sequences (clean directional runs). - Optional filters: - By how “untouched” the boundary levels are (passthrough filter) - By number of candles - By size (points) 6) Clean zones (candle-based) - Detects strong same-direction runs and boxes them as “clean zones” for study and backtesting practice. 7) Session Bias - Computes a bias score from selected timeframes and shows it as a %. - Can be weighted, inverted weight, or not weighted across timeframes (e.g. HTF candles having more weight towards bias calculation). - Optional color coded “bias candles” overlay + option to dim weak candles so the signal is clearer. - Alert when bias flips bullish/bearish/neutral. 8) Candles tools - Smooth candles: removes candle gaps by drawing candles with open = previous close (useful for price action analysis). - Ghost current candle: de-emphasizes the still-forming candle until it’s near completion (useful for not going in FOMO). - Highlight no-wick candles: helps spot strong displacement / clean opens/closes. - Snap candles: rounds candles to a chosen interval (ATR % or fixed), for cleaner structure reading. - Optional candle stats: ATR & Average candle size - Candle score: rates the last candle’s strength (body/wicks/size + context), useful for quick quality checks. - Gaps: highlights unfilled gaps and optionally removes them once filled. 9) Sessions - Up to 4 customizable sessions, each with its own color and optional background highlight. - Option to hide candles outside session hours (great for focused session study). 10) Notifications - Before session start alerts (X minutes early). - Before session end alerts (X minutes early). - Closing beyond detected S/R levels - Closing beyond custom prices: type your prices (one per line) - Proximity allowance + “advance notice” option for getting notified 30s/1m/5m before the candle closes based on your preferences - Timer alerts (“check chart every X minutes”) with a custom message template. eBacktesting integration (the important part) This indicator fully integrates with the eBacktesting extension to automatically detect “important moments” during backtesting, so it can auto-pause, tag, and allow you to practice them step-by-step. - When bias changed - When a candle closed beyond an automatically detected S/R level - When a candle closed beyond your custom price - When new LTAs & clean zones are detected or invalidated These indicator is built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
אינדיקטור Pine Script®
מאת ‎eBacktesting‎
james S/R Trend Pro v6//@version=6 strategy("jaems_MACD+RSI ", shorttitle="jaems_MACD+RSI ", overlay=false, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10, commission_type=strategy.commission.percent, commission_value=0.05, calc_on_every_tick=false) // ============================================================================= // 1. 설정 (Inputs) // ============================================================================= group_macd = "📊 MACD 설정" fastLen = input.int(12, "Fast Length", group=group_macd) slowLen = input.int(26, "Slow Length", group=group_macd) sigLen = input.int(9, "Signal Smoothing", group=group_macd) src = input.source(close, "Source", group=group_macd) group_col = "🎨 시각화 색상" col_up = input.color(color.new(#00E676, 0), "상승 (Neon Green)", group=group_col) col_dn = input.color(color.new(#FF1744, 0), "하락 (Red)", group=group_col) col_sig = input.color(color.new(#FFEA00, 0), "Signal 기본색", group=group_col) // ============================================================================= // 2. 계산 (Calculations) // ============================================================================= fastMA = ta.ema(src, fastLen) slowMA = ta.ema(src, slowLen) macd = fastMA - slowMA signal = ta.ema(macd, sigLen) hist = macd - signal // 교차 확인 (Crossovers) bool crossUp = ta.crossover(macd, signal) bool crossDn = ta.crossunder(macd, signal) // 추세 상태 확인 bool isBullish = macd >= signal // ============================================================================= // 3. 전략 실행 (Execution) // ============================================================================= if crossUp strategy.entry("Long", strategy.long) if crossDn strategy.entry("Short", strategy.short) // ============================================================================= // 4. 시각화 (Visualization) - 수정된 부분 // ============================================================================= // 4.1 MACD 라인 색상 동적 변경 color macdDynamicColor = isBullish ? col_up : col_dn // 4.2 라인 그리기 plot(macd, title="MACD Line", color=macdDynamicColor, linewidth=2) plot(signal, title="Signal Line", color=col_sig, linewidth=1) // 4.3 교차점 도트 (Thick Dots) - 괄호 오류 방지를 위해 명시적 변수 할당 float dotLevelUp = crossUp ? signal : na float dotLevelDn = crossDn ? signal : na plot(dotLevelUp, title="Golden Cross Dot", style=plot.style_circles, color=col_up, linewidth=5) plot(dotLevelDn, title="Dead Cross Dot", style=plot.style_circles, color=col_dn, linewidth=5) // 4.4 히스토그램 색상 (오류 수정: 중첩 삼항연산자 제거 -> if-else 변환) color histColor = na if isBullish // 상승 추세일 때: 히스토그램이 직전보다 커지면 진한색, 작아지면 연한색 if hist < hist histColor := col_up else histColor := color.new(col_up, 50) else // 하락 추세일 때: 히스토그램이 직전보다 커지면(덜 음수면) 연한색, 작아지면 진한색 if hist < hist histColor := color.new(col_dn, 50) else histColor := col_dn plot(hist, title="Histogram", style=plot.style_columns, color=histColor) // 4.5 기준선 hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dotted)
אסטרטגיית Pine Script®
מאת ‎Kingjmaes‎
jaems_Combo: StochRSI + MACD + ADX [QuantDev]//@version=6 strategy("jaems_Combo: StochRSI + MACD + ADX ", overlay=false, initial_capital=10000, currency=currency.USD, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // ========================================== // 1. 사용자 입력 (User Inputs) // ========================================== // grp_time = "Backtest Period" useDateFilter = input.bool(true, "기간 필터 적용", group=grp_time) startDate = input.time(timestamp("2023-01-01 00:00"), "시작일", group=grp_time) endDate = input.time(timestamp("2099-12-31 23:59"), "종료일", group=grp_time) inDateRange = not useDateFilter or (time >= startDate and time <= endDate) // grp_stoch = "1. Stochastic RSI Settings" stoch_len = input.int(14, "RSI Length", group=grp_stoch) stoch_k = input.int(3, "K", group=grp_stoch) stoch_d = input.int(3, "D", group=grp_stoch) rsi_len = input.int(14, "Stochastic Length", group=grp_stoch) // grp_macd = "2. MACD Settings (Normalized)" macd_fast = input.int(12, "Fast Length", group=grp_macd) macd_slow = input.int(26, "Slow Length", group=grp_macd) macd_sig = input.int(9, "Signal Length", group=grp_macd) macd_norm_len = input.int(100, "Normalization Lookback", group=grp_macd) // grp_adx = "3. ADX Settings" adx_len = input.int(14, "ADX Smoothing", group=grp_adx) di_len = input.int(14, "DI Length", group=grp_adx) adx_thresh = input.int(25, "ADX Threshold", group=grp_adx) // grp_risk = "4. Risk Management" stopLossPct = input.float(2.0, "손절매 (Stop Loss %)", step=0.1, group=grp_risk) / 100 takeProfitPct = input.float(4.0, "익절매 (Take Profit %)", step=0.1, group=grp_risk) / 100 // - 신규 추가 (Alert Configuration) grp_alert = "5. Alert Configuration" msg_long_entry = input.string("Long Entry Triggered", "Long 진입 메시지", group=grp_alert) msg_short_entry = input.string("Short Entry Triggered", "Short 진입 메시지", group=grp_alert) msg_long_exit = input.string("Long Position Closed", "Long 청산 메시지", group=grp_alert) msg_short_exit = input.string("Short Position Closed", "Short 청산 메시지", group=grp_alert) // ========================================== // 2. 데이터 처리 및 지표 계산 // ========================================== // Stoch RSI rsi_val = ta.rsi(close, rsi_len) k = ta.sma(ta.stoch(rsi_val, rsi_val, rsi_val, stoch_len), stoch_k) d = ta.sma(k, stoch_d) // ADX = ta.dmi(di_len, adx_len) // Normalized MACD (0~100 Scale) = ta.macd(close, macd_fast, macd_slow, macd_sig) highest_macd = ta.highest(macd_line, macd_norm_len) lowest_macd = ta.lowest(macd_line, macd_norm_len) // 분모가 0이 되는 예외 처리 denom = (highest_macd - lowest_macd) norm_macd = denom != 0 ? (macd_line - lowest_macd) / denom * 100 : 50 norm_signal = denom != 0 ? (macd_signal - lowest_macd) / denom * 100 : 50 // ========================================== // 3. 시각화 (Dark Mode Optimized Colors) // ========================================== color gridColor = color.new(#787B86, 50) hline(0, "Bottom", color=gridColor) hline(50, "Middle", color=gridColor, linestyle=hline.style_dotted) hline(100, "Top", color=gridColor) plot(k, "Stoch K", color=color.new(#00E5FF, 0), linewidth=1) // Neon Cyan plot(d, "Stoch D", color=color.new(#EA00FF, 0), linewidth=1) // Neon Magenta plot(adx, "ADX", color=color.new(#FFEB3B, 0), linewidth=2) hline(adx_thresh, "ADX Threshold", color=color.new(#FFEB3B, 50), linestyle=hline.style_dashed) plot(norm_macd, "Norm MACD", color=color.new(#76FF03, 60), style=plot.style_area) plot(norm_signal, "Norm Signal", color=color.new(#FF1744, 20), linewidth=1) // ========================================== // 4. 전략 로직 (Strategy Logic) - 요청하신 내용으로 전면 수정 // ========================================== // 조건: K가 D보다 크고(AND) K가 Norm Signal보다 큰 상태 bool is_bullish = (k > d) and (k > norm_signal) // 조건: K가 D보다 작고(AND) K가 Norm Signal보다 작은 상태 bool is_bearish = (k < d) and (k < norm_signal) // 진입 신호: "이전 봉에는 아니었는데, 지금 봉에서 두 조건을 동시에 만족했을 때" (돌파 순간) longCondition = is_bullish and not is_bullish shortCondition = is_bearish and not is_bearish // 주문 실행 (Confirmed Bar Only) + Alert Message 연결 if inDateRange and barstate.isconfirmed if longCondition strategy.entry("Long", strategy.long, alert_message=msg_long_entry) if shortCondition strategy.entry("Short", strategy.short, alert_message=msg_short_entry) // ========================================== // 5. 청산 및 신호 강조 (Alert Message 추가) // ========================================== if strategy.position_size > 0 strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price * (1 - stopLossPct), limit=strategy.position_avg_price * (1 + takeProfitPct), alert_message=msg_long_exit) if strategy.position_size < 0 strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price * (1 + stopLossPct), limit=strategy.position_avg_price * (1 - takeProfitPct), alert_message=msg_short_exit) // 배경 신호 bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG") bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
אסטרטגיית Pine Script®
מאת ‎Kingjmaes‎
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.
אינדיקטור Pine Script®
מאת ‎AlchimistOfCrypto‎
james S/R Trend Pro v6//@version=6 strategy("james S/R Trend Pro v6", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // --- 사용자 입력 (Inputs) --- group_date = "1. 백테스트 기간" start_date = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date) end_date = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date) is_within_date = time >= start_date and time <= end_date group_main = "2. 지표 설정 (S/R & Trend)" lookback_sr = input.int(15, "지지/저항 탐색 기간", minval=5, group=group_main) atr_period = input.int(14, "ATR 기간", group=group_main) atr_mult = input.float(3.5, "추세선 민감도", step=0.1, group=group_main) group_color = "3. 다크모드 색상 설정" trend_up_color = input.color(color.rgb(200, 200, 200), "상승 추세선 (밝은 회색)", group=group_color) trend_down_color = input.color(color.rgb(255, 255, 255), "하락 추세선 (흰색)", group=group_color) res_color = input.color(#ff1100, "저항선 (네온 레드)", group=group_color) sup_color = input.color(#00e1ff, "지지선 (네온 사이언)", group=group_color) // --- 데이터 처리 (Calculations) --- // 1. 추세선 (검은색 배경용 고대비 설정) = ta.supertrend(atr_mult, atr_period) // 2. 지지/저항선 (피벗 기반) ph = ta.pivothigh(high, lookback_sr, lookback_sr) pl = ta.pivotlow(low, lookback_sr, lookback_sr) var float res_line = na var float sup_line = na if not na(ph) res_line := high if not na(pl) sup_line := low // --- 전략 로직 (Condition) --- long_condition = direction < 0 and ta.crossover(close, sup_line) short_condition = direction > 0 and ta.crossunder(close, res_line) // --- 주문 실행 (Execution) --- if is_within_date if long_condition strategy.entry("Long", strategy.long, comment="BUY") if short_condition strategy.entry("Short", strategy.short, comment="SHORT") // 청산 로직 if strategy.position_size > 0 strategy.exit("TP-L", "Long", limit=res_line, qty_percent=50, comment="분할익절") if ta.crossunder(close, trend_line) strategy.close("Long", comment="추세이탈") if strategy.position_size < 0 strategy.exit("TP-S", "Short", limit=sup_line, qty_percent=50, comment="분할익절") if ta.crossover(close, trend_line) strategy.close("Short", comment="추세이탈") // --- 시각화 (Visualization - 다크 모드 최적화) --- // 1. 추세선: 검은 배경에서 잘 보이도록 하얀색/회색 계열 사용 plot(trend_line, color=direction < 0 ? trend_up_color : trend_down_color, linewidth=2, title="Trend Line") // 2. 지지/저항선: 네온 컬러로 시인성 극대화 plot(res_line, color=color.new(res_color, 0), style=plot.style_linebr, linewidth=2, title="Resistance") plot(sup_line, color=color.new(sup_color, 0), style=plot.style_linebr, linewidth=2, title="Support") // 3. 진입 시그널 라벨 plotshape(long_condition, style=shape.triangleup, location=location.belowbar, color=sup_color, size=size.small, title="Buy Label") plotshape(short_condition, style=shape.triangledown, location=location.abovebar, color=res_color, size=size.small, title="Short Label") // 4. 추세 배경색 (매우 옅게 설정하여 캔들을 방해하지 않음) fill_color = direction < 0 ? color.new(sup_color, 90) : color.new(res_color, 90) fill(plot(trend_line), plot(close), color=fill_color, title="Trend Fill")
אסטרטגיית Pine Script®
מאת ‎Kingjmaes‎