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VIX/VXV Ratio (TitsNany)This script plots the VXV/VIX ratio, which compares medium-term volatility (90-day fear) to short-term volatility (30-day fear). When the ratio rises above key levels like 1.16 or 1.24, it signals that traders expect future stress, often preceding market pullbacks. When the ratio falls toward or below 1.0, short-term fear is spiking, which typically occurs during active selloffs or volatility events. In short, elevated readings warn of potential market drops ahead, while sharp declines in the ratio reflect panic already hitting the market.
Pine Script® göstergesi
NancyPelosiTits tarafından
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI — SMA + Bollinger Fusion (Free) A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure. This script merges two of the most widely used charting concepts into one simple, readable view: Included ✔ SMA 21 ✔ SMA 50 ✔ SMA 100 ✔ SMA 200 ✔ Bollinger Bands with adjustable length + multiplier ✔ Adaptive “Fusion Squeeze” shading to highlight compression phases ✔ Optional visibility toggles for each SMA ✔ Lightweight, non-intrusive overlay What this indicator is designed for This tool helps traders quickly understand: Trend alignment using the 21/50/100/200 SMAs Volatility conditions around the Bollinger midline Price compression and expansion Early awareness of breakout environments Clean visual structure without clutter Everything is intentionally simple and transparent. No predictions, no signals, no trading advice — just clean chart structure. Why this version is unique Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract. This makes compression zones instantly visible without overwhelming the chart. The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes. Who this is for Newer traders who want a clear introduction to SMAs + Bollinger Bands Experienced traders who want a lightweight visual tool Anyone building structure-based strategies Users of the VectorCoresAI suite who want a simple companion tool Notes This indicator is part of the VectorCoresAI Free Tools collection. All logic is open-source and educational only. More tools coming soon.
Pine Script® göstergesi
Vectorcoresai tarafından
Multi-Timeframe Fair Value Gap by Vigna📊 Multi-Timeframe Fair Value Gap (FVG) Indicator This indicator displays Fair Value Gaps (FVGs) from multiple timeframes simultaneously on your chart. FVGs are price gaps that occur when the market moves quickly and skips certain price levels. These gaps tend to be "filled" later and often serve as important support and resistance zones. 🎯 What are Fair Value Gaps? A Fair Value Gap occurs when: Bullish FVG: The current low is higher than the high from 2 candles ago (gap upward) Bearish FVG: The current high is lower than the low from 2 candles ago (gap downward) ⏱️ Supported Timeframes: 1 Hour (1H) 2 Hours (2H) 3 Hours (3H) 4 Hours (4H) 1 Day (1D) 1 Week (1W) 🎨 Features: ✅ All timeframes visible simultaneously ✅ Each timeframe has its own color (bullish & bearish) ✅ Labels show the timeframe of each gap ✅ Automatic deletion when gap is filled ✅ Optional: MidPoint Fill (gap marked as filled at 50%) ✅ Extend right: Gaps extend to the right until filled ✅ All colors fully customizable ⚙️ Settings: Timeframes: Enable/disable individual timeframes as needed MidPoint Fill: Mark gap as filled when 50% is reached Delete On Fill: Automatically remove filled gaps from chart Label Timeframes: Show labels with timeframe names Colors: Customize all colors to your preferences 💡 Application: FVGs often serve as magnetic attraction points for price Higher timeframe FVGs (4H, 1D, 1W) are typically more significant Use FVGs as potential entry/exit zones Combine with other indicators for better confirmation 📈 Recommended Use: Works best on timeframes from 15min to 1H Ideal for Forex, Crypto, and Stocks Especially useful for Swing Trading and Day Trading 🔧 Technical Details: Uses optimized request.security() calls (12 total, under the 40 limit) Employs tuple syntax for efficient data fetching Real-time gap detection and filling mechanism Memory-efficient array management with var keyword
Pine Script® göstergesi
vigna204 tarafından
Volatility Aurora [The_lurker]█░░░░░░░░░░░░░░░░░░░ VOLATILITY AURORA ░░░░░░░░░░░░░░░░░░░░█ █░░░░░░░░░░░░░░░ Where Market Energy Meets Visual Poetry ░░░░░░░░░░░░░░░░█ 📖 INTRODUCTION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Aurora Borealis occurs when charged particles from the sun collide with gases in Earth's atmosphere, creating mesmerizing waves of colorful light. 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗔𝘂𝗿𝗼𝗿𝗮 applies this elegant concept to financial markets: ⚡ Price Momentum = Charged Particles 🌌 ATR Layers = Atmospheric Layers 🎨 Color Intensity = Energy Magnitude 📐 Layer Expansion = Volatility State When momentum "collides" with volatility layers, the Aurora illuminates potential market regime changes — often before they fully manifest in price action. 🔬 THE SCIENCE BEHIND IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Unlike traditional volatility indicators that provide a single value, Volatility Aurora creates a 𝗺𝘂𝗹𝘁𝗶-𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝘃𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗳𝗶𝗲𝗹𝗱 using five distinct ATR layers based on Fibonacci periods: │ Layer │ Period │ Atmospheric │ Function │ ├──────────────────────┼─────────────────┼─────────────────┤ │ Layer 1 │ 5 │ Ionosphere │ Captures immediate vol shifts │ Layer 2 │ 13 │ Mesosphere │ Medium-term vol response │ Layer 3 │ 34 │ Stratosphere │ Intermediate vol structure │ Layer 4 │ 55 │ Troposphere │ Foundational vol baseline │ Layer 5 │ 89 │ Surface │ Structural, long-term vol ⚡ CORE CONCEPTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝟭. 𝗟𝗮𝘆𝗲𝗿 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 & 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 Each layer dynamically expands or contracts based on its normalized ATR value: • 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿𝘀 → Increasing volatility regime • 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿𝘀 → Decreasing volatility / Consolidation • 𝗕𝗿𝗲𝗮𝘁𝗵𝗶𝗻𝗴 𝗘𝗳𝗳𝗲𝗰𝘁 → Natural market rhythm visualization 𝟮. 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 𝗦𝗰𝗼𝗿𝗲 Measures alignment between all five layers: • 𝗛𝗶𝗴𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 (>70%) → All timeframes agree → Strong, reliable trends • 𝗟𝗼𝘄 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 (<30%) → Timeframe divergence → Choppy conditions 𝟯. 𝗘𝗻𝗲𝗿𝗴𝘆 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 Quantifies how strongly momentum is "hitting" the volatility layers: • 𝗛𝗶𝗴𝗵 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 → Strong directional conviction • 𝗟𝗼𝘄 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 → Weak momentum, potential reversal 𝟰. 𝗥𝗲𝗴𝗶𝗺𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Based on aggregate layer states: 🟢 𝗖𝗔𝗟𝗠 → Low volatility across all layers 🟡 𝗡𝗢𝗥𝗠𝗔𝗟 → Balanced market conditions 🟠 𝗩𝗢𝗟𝗔𝗧𝗜𝗟𝗘 → Elevated activity 🔴 𝗘𝗫𝗧𝗥𝗘𝗠𝗘 → Maximum volatility state 🎨 VISUAL COMPONENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌈 𝗔𝘂𝗿𝗼𝗿𝗮 𝗟𝗮𝘆𝗲𝗿𝘀 (𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗕𝗮𝗻𝗱𝘀) • Five pairs of symmetrical bands around the price core • Color gradient from core (bright) to outer (dim) • Expansion reflects current volatility state 💠 𝗖𝗼𝗿𝗲 𝗟𝗶𝗻𝗲 • Central EMA-based trend line • Color changes with momentum direction: 🟢 Cyan/Teal = Bullish 🔴 Pink/Magenta = Bearish 🟣 Purple = Neutral 💫 𝗘𝗻𝗲𝗿𝗴𝘆 𝗣𝘂𝗹𝘀𝗲 𝗟𝗶𝗻𝗲𝘀 • Diagonal flow lines showing momentum trajectory • Thicker lines = Higher energy • Direction indicates momentum flow 🎵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 𝗪𝗮𝘃𝗲𝘀 • Vertical dotted lines appear when harmony exceeds 70% • Signals timeframe alignment — high-probability zones 📊 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 𝗧𝗿𝗲𝗻𝗱 𝗙𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 • Enter when Aurora expands in your direction • Core line color confirms bias • High harmony = Higher confidence 💥 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗕𝗿𝗲𝗮𝗸𝗼𝘂𝘁𝘀 • Watch for regime shift from CALM to VOLATILE • Expanding layers signal incoming movement • Intensity spike confirms breakout strength ↩️ 𝗠𝗲𝗮𝗻 𝗥𝗲𝘃𝗲𝗿𝘀𝗶𝗼𝗻 • EXTREME regime often precedes reversals • Contracting layers after expansion = Potential pullback • Low harmony during trends = Weakening momentum 🛡️ 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 • Use outer layers as dynamic support/resistance • Wider Aurora = Wider stops required • Contracting Aurora = Tighter risk parameters ⚙️ SETTINGS GUIDE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌌 𝗔𝘂𝗿𝗼𝗿𝗮 𝗖𝗼𝗿𝗲 │ Setting │Default │ Description │ Layer 1-5 │ Fib │ ATR periods (5,13,34,55,89) │ Expansion Factor │ 2.5 │ Controls layer width multiplier │ Smoothing │ 5 │ EMA smoothing for visual clarity ⚡ 𝗘𝗻𝗲𝗿𝗴𝘆 𝗙𝗶𝗲𝗹𝗱 │ Setting │ Default │ Description │ Momentum Length │ 14 │ Period for momentum calculation │ Energy Lookback │ 21 │ Normalization window │ Energy Multiplier │ 1.5 │ Amplifies energy display 🎨 𝗩𝗶𝘀𝘂𝗮𝗹 │ Setting │ Default │ Description │ Language │ EN │ Interface language (EN/AR) │ Show Aurora │ ✓ │ Toggle layer visibility │ Show Core Line │ ✓ │ Toggle center line │ Show Energy Pulse │ ✓ │ Toggle flow lines │ Show Harmony Waves │ ✓ │ Toggle alignment indicators 🔔 ALERTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ 𝗥𝗲𝗴𝗶𝗺𝗲 𝗦𝗵𝗶𝗳𝘁 — Volatility regime changed 🎵 𝗛𝗶𝗴𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 — All layers aligned (>85%) ↕️ 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗻𝗴𝗲 — Momentum direction reversed 🔥 𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 𝗦𝗽𝗶𝗸𝗲 — Energy exceeded 80% threshold 💡 TIPS FOR BEST RESULTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1️⃣ 𝗛𝗶𝗴𝗵𝗲𝗿 𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲𝘀 — Aurora works best on 1H+ charts 2️⃣ 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗣𝗔 — Use Aurora as context, not signals 3️⃣ 𝗪𝗮𝘁𝗰𝗵 𝗛𝗮𝗿𝗺𝗼𝗻𝘆 — High harmony setups win more 4️⃣ 𝗥𝗲𝘀𝗽𝗲𝗰𝘁 𝗥𝗲𝗴𝗶𝗺𝗲 — Don't fight EXTREME volatility 5️⃣ 𝗟𝗮𝘆𝗲𝗿 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 — Multi-layer bounces = Strong S/R ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before making trading decisions. █████████████████████████████████████████████████████████████ █░░░░░░░░░░░░░░░░░░░░░ شفق التقلب ░░░░░░░░░░░░░░░░░░░░░░█ █░░░░░░░░░░░░░░░ حيث تلتقي طاقة السوق بالشعور البصري ░░░░░░░░░░░░░░░░█ 📖 المقدمة ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ يحدث الشفق القطبي عندما تصطدم الجسيمات المشحونة القادمة من الشمس بالغازات في الغلاف الجوي للأرض، مما يخلق موجات ساحرة من الضوء الملون. يطبق نفس المفهوم الأنيق على الأسواق المالية ⚡ زخم السعر = الجسيمات المشحونة 🌌 طبقات ATR = طبقات الغلاف الجوي 🎨 شدة اللون = حجم الطاقة 📐 توسع الطبقات = حالة التقلب عندما "يصطدم" الزخم بطبقات التقلب، يُضيء الشفق التغيرات المحتملة في نظام السوق — غالباً قبل أن تتجلى بالكامل في حركة السعر. 🔬 العلم وراء المؤشر ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ على عكس مؤشرات التقلب التقليدية التي تقدم قيمة واحدة، يُنشئ شفق التقلب 𝗽𝗮𝗾𝗹 𝘁𝗮𝗾𝗮𝗹𝗹𝘂𝗯 𝗺𝘂𝘁𝗮'𝗮𝗱𝗱𝗶𝗱 𝗮𝗹-𝗮𝗯'𝗮𝗱 باستخدام خمس طبقات ATR مميزة مبنية على أرقام فيبوناتشي: │ الطبقة │ الفترة │ المعادل الجوي │ الوظيفة │ الطبقة١ │ 5 │ الأيونوسفير │ تلتقط تحولات التقلب الفورية │ الطبقة٢ │ 13 │ الميزوسفير │ استجابة التقلب متوسطة المدى │ الطبقة٣ │ 34 │ الستراتوسفير │ هيكل التقلب المتوسط │ الطبقة٤ │ 55 │ التروبوسفير │ خط الأساس للتقلب │ الطبقة٥ │ 89 │ السطح │ التقلب الهيكلي طويل المدى ⚡ المفاهيم الأساسية ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝟭. توسع وانكماش الطبقات تتوسع أو تنكمش كل طبقة ديناميكياً بناءً على قيمة ATR المعيارية: • طبقات متوسعة ← نظام تقلب متزايد • طبقات منكمشة ← تقلب متناقص / تجميع • تأثير التنفس ← تصور إيقاع السوق الطبيعي 𝟮. درجة التناغم تقيس التوافق بين جميع الطبقات الخمس: • تناغم عالي (>٧٠٪) ← جميع الأطر متفقة ← اتجاهات قوية • تناغم منخفض (<٣٠٪) ← تباين الأطر ← ظروف متقطعة 𝟯. شدة الطاقة تحدد مدى قوة "اصطدام" الزخم بطبقات التقلب: • شدة عالية ← قناعة اتجاهية قوية • شدة منخفضة ← زخم ضعيف، احتمال انعكاس 𝟰. تصنيف النظام بناءً على حالات الطبقات المجمعة: 🟢 هادئ ← تقلب منخفض عبر جميع الطبقات 🟡 طبيعي ← ظروف سوق متوازنة 🟠 متقلب ← نشاط مرتفع 🔴 متطرف ← حالة التقلب القصوى 🎨 المكونات البصرية ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌈 طبقات الشفق (النطاقات المتدرجة) • خمسة أزواج من النطاقات المتماثلة حول نواة السعر • تدرج لوني من النواة (ساطع) إلى الخارج (خافت) • التوسع يعكس حالة التقلب الحالية 💠 خط النواة • خط اتجاه مركزي قائم على EMA • يتغير اللون مع اتجاه الزخم: 🟢 سماوي = صاعد 🔴 وردي = هابط 🟣 بنفسجي = محايد 💫 خطوط نبض الطاقة • خطوط تدفق مائلة تُظهر مسار الزخم • خطوط أسمك = طاقة أعلى • الاتجاه يشير إلى تدفق الزخم 🎵 موجات التناغم • خطوط عمودية منقطة تظهر عندما يتجاوز التناغم ٧٠٪ • تشير إلى توافق الأطر الزمنية — مناطق احتمالية عالية 📊 كيفية الاستخدام ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 تتبع الاتجاه • ادخل عندما يتوسع الشفق في اتجاهك • لون خط النواة يؤكد التحيز • تناغم عالي = ثقة أعلى 💥 اختراقات التقلب • راقب تحول النظام من هادئ إلى متقلب • الطبقات المتوسعة تشير إلى حركة قادمة • ارتفاع الشدة يؤكد قوة الاختراق ↩️ الارتداد للمتوسط • النظام المتطرف غالباً يسبق الانعكاسات • طبقات منكمشة بعد التوسع = احتمال تراجع • تناغم منخفض أثناء الاتجاهات = زخم ضعيف 🛡️ إدارة المخاطر • استخدم الطبقات الخارجية كدعم/مقاومة ديناميكية • شفق أوسع = وقف خسارة أوسع مطلوب • شفق منكمش = معايير مخاطر أضيق ⚙️ دليل الإعدادات ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌌 نواة الشفق │ الإعداد │الافتراضي│ الوصف │ الطبقات ١-٥ │ Fib │ فترات ATR (5,13,34,55,89) │ معامل التوسع │ 2.5 │ يتحكم في مضاعف عرض الطبقات │ التنعيم │ 5 │ تنعيم EMA للوضوح البصري ⚡ مجال الطاقة │ الإعداد │الافتراضي│ الوصف │ فترة الزخم │ 14 │ فترة حساب الزخم │ فترة الطاقة │ 21 │ نافذة التطبيع │ مضاعف الطاقة │ 1.5 │ يضخم عرض الطاقة 🎨 العرض البصري │ الإعداد │الافتراضي│ الوصف │ اللغة │ EN │ لغة الواجهة (EN/AR) │ إظهار الشفق │ ✓ │ تبديل ظهور الطبقات │ خط النواة │ ✓ │ تبديل الخط المركزي │ نبض الطاقة │ ✓ │ تبديل خطوط التدفق │ موجات التناغم │ ✓ │ تبديل مؤشرات التوافق 🔔 التنبيهات ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ تحول النظام — تغير نظام التقلب 🎵 تناغم عالي — جميع الطبقات متوافقة (>٨٥٪) ↕️ تغير الاتجاه — انعكس اتجاه الزخم 🔥 ارتفاع الشدة — تجاوزت الطاقة عتبة ٨٠٪ 💡 نصائح للحصول على أفضل النتائج ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1️⃣ الأطر الزمنية الأعلى — الشفق يعمل بشكل أفضل على ساعة فأكثر 2️⃣ ادمج مع حركة السعر — استخدم الشفق كسياق وليس إشارات 3️⃣ راقب التناغم — إعدادات التناغم العالي تربح أكثر 4️⃣ احترم النظام — لا تحارب التقلب المتطرف 5️⃣ تقاطع الطبقات — ارتداد من طبقات متعددة = دعم/مقاومة قوية ⚠️ إخلاء المسؤولية ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ هذا المؤشر للأغراض التعليمية فقط. الأداء السابق لا يضمن النتائج المستقبلية. استخدم دائماً إدارة مخاطر مناسبة وقم بتحليلك الخاص قبل اتخاذ قرارات التداول. █████████████████████████████████████████████████████████████
Pine Script® göstergesi
The_lurker tarafından
3
ICT Quant-Core: Liquidity Intelligence [Dual-Engine]🔥 THE ULTIMATE LIQUIDITY FILTERING ENGINE Most SMC traders lose money because they "catch falling knives" on every local wick. This algorithm solves this problem by using DUAL-CORE logic and a signal quality scoring system. This is no ordinary pivot indicator. ⚙️ HOW DOES IT WORK? (DUAL-CORE LOGIC) The algorithm analyzes the market on two levels simultaneously: 1️⃣ MACRO CORE (Lookback 50 - "WHALE 🐋") Tracks key levels from recent weeks/months. This is where institutions build their positions. Signals from this core have the highest priority (Score 10/10). 2️⃣ LOCAL CORE (Lookback 20 - "ROACH 🐟") Tracks internal market structure and noise. Signals are filtered by the Main Trend. If the trend is down, Local Longs are marked as "TRAP." 🧠 SMART FILTERS (QUANT LAYERS) Instead of entering on every line touch, the script requires confirmation: ✅ RECLAIM LOGIC: Price must close back above/below the liquidity level (Swing Failure Pattern). ✅ RVOL FILTER: Requires relative volume > 1.2x the average (institutional track). ✅ SCORING SYSTEM (0-10): Each signal receives a score. - 10/10: Macro Grab in line with the trend + high volume. - 3/10: Local Grab against the trend (risky). 📊 ANALYTICAL DASHBOARD In the lower right corner, you'll find the "Command Center": - Trend Status (Distribution/Accumulation) - Whale's Last Move (Price and Direction) - Current Tactics (e.g., "Ignore Longs, Search for Shorts") - Filter Status (RSI, Volume, Reclaim) 🚀 HOW TO USE IT? 1. Set the H4 timeframe. 2. Wait for a signal with a rating > 7/10. 3. Ignore "Fish/Local" signals (small icons) if they contradict the Dashboard color. 4. Entry occurs only after the candle closes (Reclaim).
Pine Script® göstergesi
TheMrD tarafından
NoProcess PivotsNoProcess Pivots Visualize the structural framework of price action with NoProcess Pivots, a precision tool for multi-timeframe confluence trading. Pivots are mathematically derived levels where price statistically finds support, resistance, or equilibrium. Institutional order flow respects these levels as key decision points where liquidity pools form and inefficiencies seek rebalancing. NoProcess Pivots displays historical pivot ranges as period-bounded zones across Daily, Weekly, and Quarterly timeframes—allowing you to observe how price has respected or violated these levels over time. By projecting ±33% extensions beyond R1/S1, traders can identify targets, retracement levels, and key reversal points. Cross-reference pivots across multiple timeframes to find confluence zones where Daily, Weekly, and Quarterly levels stack. These high-conviction areas offer the clearest setups for entries and exits. Features: Multi-timeframe pivots: Daily, Weekly, Quarterly Historical levels with adjustable depth Period-bounded zones ±33% extensions Adaptive light/dark mode table Real-time Δ PP percentage Pivot cross alerts Built for traders who respect the math behind the markets.
Pine Script® göstergesi
noprocess tarafından
4
RiskCraft - Advanced Risk Management SystemRiskCraft – Risk Intelligence Dashboard Trade like you actually respect risk "I know the setup looks good… but how much am I actually risking right now?" RiskCraft is an open-source Pine Script v6 indicator that keeps risk transparent directly on the chart. It is not a signal generator; it is a risk desk that calculates size, frames volatility, and reminds you when your behaviour drifts away from the plan. Core utilities Calculates professional-style position sizing in real time. Reads volatility and market regime before position size is confirmed. Adjusts risk based on the trader’s emotional state and confidence inputs. Maps session risk across Asian, London, and New York hours. Draws exactly one stop line and one target line in the preferred direction. Provides rotating education tips plus contextual warnings when risk escalates. It is intentionally conservative and keeps you in the game long enough for any separate entry logic to matter. --- Chart layout checklist Use a clean chart on a liquid symbol (e.g., AMEX:SPY or major FX pairs). Main RiskCraft dashboard placed on the right edge. Session Risk box on the left with UTC time visible. Floating risk badge above price. Stop/target guide lines enabled. Education panel visible in the bottom-right corner. --- 1. On-chart components Right-side dashboard : account risk %, position size/value, stop, target, risk/reward, regime, trend strength, emotional state, behavioural score, correlation, and preferred trade direction. Session Risk box : highlights active session (Asian, London, NY), current UTC time, and risk label (High/Med/Low) per session. Floating risk badge : keeps actual account risk percent visible with colour-coded wording from Ultra Cautious to Very Aggressive. Stop/target lines : exactly one dashed stop and one dashed target aligned with the preferred bias. Education panel : rotates core principles and AI-style warnings tied to volatility, risk %, and behaviour flags. --- 2. Volatility engine – ATR with context 📈 atr = ta.atr(atrLength) atrPercent = (atr / close) * 100 atrSMA = ta.sma(atr, atrLength) volatilityRatio = atr / atrSMA isHighVol = volatilityRatio > volThreshold ATR vs ATR SMA shows how wild price is relative to recent history. Volatility ratio above the threshold flips isHighVol , which immediately trims risk. An ATR percentile rank over the last 100 bars indicates calm versus chaotic regimes. Daily ATR sampling via request.security() gives higher time-frame context for intraday sessions. When volatility spikes the script dials position size down automatically instead of cheering for maximum exposure. --- 3. Market regime radar – Danger or Drift 🌊 ema20 = ta.ema(close, 20) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) trendScore = (close > ema20 ? 1 : -1) + (ema20 > ema50 ? 1 : -1) + (ema50 > ema200 ? 1 : -1) = ta.dmi(14, 14) Regimes covered: Danger : high volatility with weak trend. Volatile : volatility elevated but structure still directional. Choppy : low ADX and noisy action. Trending : directional flows without extreme volatility. Mixed : anything between. Each regime maps to a 1–10 risk score and a multiplier that feeds the final position size. Danger and Choppy clamp size; Trending restores normal risk. --- 4. Behaviour engine – trader inputs matter 🧠 You provide: Emotional state : Confident, Neutral, FOMO, Revenge, Fearful. Confidence : slider from 1 to 10. Toggle for behavioural adjustment on/off. Behind the scenes: Each state triggers an emotional multiplier . Confidence produces a confidence multiplier . Combined they form behavioralFactor and a 0–100 Behavioural Score . High-risk emotions or low conviction clamp the final risk. Calm inputs allow normal size. The dashboard prints both fields to keep accountability on-screen. --- 5. Correlation guardrail – avoid stacking identical risk 📊 Optional correlation mode compares the active symbol to a reference (default AMEX:SPY ): corrClose = request.security(correlationSymbol, timeframe.period, close) priceReturn = ta.change(close) / close corrReturn = ta.change(corrClose) / corrClose correlation = calcCorrelation() Absolute correlation above the threshold applies a correlation multiplier (< 1) to reduce size. Dashboard row shows the live correlation and reference ticker. When disabled, the row simply echoes the current symbol, keeping the table readable. --- 6. Position sizing engine – heart of the script 💰 baseRiskAmount = accountSize * (baseRiskPercent / 100) adjustedRisk = baseRiskAmount * behavioralFactor * regimeAdjustment * volAdjustment * correlationAdjustment finalRiskAmount = math.min(adjustedRisk, accountSize * (maxRiskCap / 100)) stopDistance = atr * atrStopMultiplier takeProfit = atr * atrTargetMultiplier positionSize = stopDistance > 0 ? finalRiskAmount / stopDistance : 0 positionValue = positionSize * close Outputs shown on the dashboard: Position size in units and value in currency. Actual risk % back on account after adjustments. Risk/Reward derived from ATR-based stop and target. --- 7. Intelligent trade direction – bias without signals 🎯 Direction score ingredients: EMA stack alignment. Price versus EMA20. RSI momentum relative to 50. MACD line vs signal. Directional Movement (DI+/DI–). The resulting Trade Direction row prints LONG, SHORT, or NEUTRAL. No orders are generated—this is guidance so you only risk capital when the structure supports it. --- 8. Stop/target guide lines – two lines only ✂️ if showStopLines if preferLong // long stop below, target above else if preferShort // short stop above, target below Lines refresh each bar to keep clutter low. When the direction score is neutral, no lines appear. Use them as visual anchors, not auto-orders. --- 9. Session Risk map – global volatility clock 🌍 Tracks Asian, London, and New York windows via UTC. Computes average ATR per session versus global ATR SMA. Labels each session High/Med/Low and colours the cells accordingly. Top row shows the active session plus current UTC time so you always know the regime you are trading. One glance tells you whether you are trading quiet drift or the part of the day that hunts stops. --- 10. Floating risk badge – honesty above price 🪪 Text ranges from Ultra Cautious through Very Aggressive. Colour matches the risk palette inputs (High/Med/Low). Updates on the last bar only, keeping historical clutter off the chart. Account risk becomes impossible to ignore while you stare at price. --- 11. Education engine & warnings 📚 Rotates evergreen principles (risk 1–2%, journal trades, respect plan). Triggers contextual warnings when volatility and risk % conflict. Flags when emotional state = FOMO or Revenge. Highlights sub-standard risk/reward setups. When multiple danger flags stack, an AI-style warning overrides the tip text so you can course-correct before capital is exposed. --- 12. Alerts – hard guard rails 🚨 Excessive Risk Alert : actual risk % crosses custom threshold. High Volatility Alert : ATR behaviour signals danger regime. Emotional State Warning : FOMO or Revenge selected. Poor Risk/Reward Alert : risk/reward drops below your standard. All alerts reinforce discipline; none suggest entries or exits. --- 13. Multi-market behaviour 🕒 Intraday (1m–1h): session box and badge react quickly; ideal for scalpers needing constant risk context. Higher time frames (1D–1W): dashboard shifts slowly, supporting swing planning. Asset classes confirmed in validation: crypto majors, large-cap equities, indices, major FX pairs, and liquid commodities. Risk logic is price-based, so it adapts across markets without bespoke tuning. 15. Key inputs & recommended defaults Account Size : 10,000 (modify to match actual account; min 100). Base Risk % : 1.0 with a Maximum Risk Cap of 2.5%. ATR Period : 14, Stop Multiplier 2.0, Target Multiplier 3.0. High Vol Threshold : 1.5 for ATR ratio. Behavioural Adjustment : enabled by default; disable for fixed risk. Correlation Check : optional; default symbol AMEX:SPY , threshold 0.7. Display toggles : main dashboard, risk badge, session map, education panel, and stop lines can be individually disabled to reduce clutter. 16. Usage notes & limits Indicator mode only; no automated entries or exits. Trade history panel intentionally disabled (requires strategy context). Correlation analysis depends on additional data requests and may lag slightly on illiquid symbols. Session timing uses UTC; adjust expectations if you trade localized instruments. HTF ATR sampling uses daily data, so bar replay on lower charts may show brief data gaps while HTF loads. What does everyone think RISK really means?
Pine Script® göstergesi
officialjackofalltrades tarafından
BörsenampelThe “VIX/VVIX Traffic Light (Panel)” visualizes the current market risk as a simple traffic light (green / yellow / red) in the top‑right corner of the chart, based on the VIX and VVIX indices.​ How it works The script loads the VIX and VVIX indices via request.security and evaluates them using user‑defined threshold levels.​ Green: VIX and VVIX are below their “green” thresholds, indicating a calm market environment and more risk‑on conditions.​ Red: VIX and VVIX are above their “red” thresholds, signalling stress or panic phases with elevated risk.​ Yellow: Transitional zone between the two extremes.​ Chart display A small panel with the title “Traffic Light” is shown in the upper‑right corner of the chart.​ The central box displays the current status (“GREEN”, “YELLOW”, “RED”) with a matching background color.​ Optionally, the current VIX and VVIX values are shown below the status.​ Inputs and usage Symbols for VIX and VVIX can be freely chosen (default: CBOE:VIX and CBOE:VVIX).​ The green/red thresholds can be adjusted to fit personal volatility rules or different markets.​
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danielhaehner tarafından
Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions. Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts. The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence. THE FOUNDATION The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology. Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk. Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods. Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses. HOW THE INDICATOR CALCULATES VOLATILITY The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility. For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options. Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature. The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements. The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process. The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful. THE CORE VRP CALCULATION Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress. The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag. INTERPRETING THE REGIMES The indicator classifies market conditions into five distinct regimes based on VRP levels. The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes. The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding. The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates. The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress. The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging. TERM STRUCTURE ANALYSIS Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows. Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship. When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms. The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics. MEAN REVERSION CHARACTERISTICS One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies. The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low. Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization. These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter. MOMENTUM ANALYSIS The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium. The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels. PRACTICAL APPLICATION For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk. For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes. For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system. LIMITATIONS AND CONSIDERATIONS No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention. The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period. Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies. The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources. Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics. STATISTICAL OUTPUTS The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation. Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions. ALERT CONDITIONS The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes. REFERENCES Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566. Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492. Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341. Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78. Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354. Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
Pine Script® göstergesi
EdgeTools tarafından
2
HTF Candles & Levels Visualizer - SRHTF Candles & Levels Visualizer is a clean higher‑timeframe visualization tool designed to complement any trading strategy by giving clear context of larger‑TF structure directly on your current chart. It plots the previous high and low for up to three user‑selectable timeframes, and draws them as extended levels with optional labels, making it easy to see where current price sits relative to key higher‑timeframe zones.​ The script also renders compact proxy candles for each selected timeframe to the right of current price, so you can visually track HTF candle development without switching charts. Each HTF slot has independent settings: timeframe, color, number of displayed candles, and visibility toggles, along with global controls for line style, label size, candle spacing, and colors.​ This tool does not generate trading signals; it focuses purely on multi‑timeframe context and market structure visualization to support your own entries, exits, and risk management.
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Srajz tarafından
AlphaTrend | APEX [Singularity]This is a customized Trend Tracer style system designed to capture high-quality moves while filtering out noise. It combines three core "Engines": 1. Kinetic Trend Engine (The "Ribbon") Logic: Uses a Dual-ALMA Ribbon (Arnaud Legoux Moving Average). Fast Line (Leader): Responsive, hugs price. Slow Line (Laggard): Smooth, validates structure. Signals: "BUY" and "SELL" labels trigger exactly when the ribbon twists (Crossover/Crossunder). Filters: Entropy & Hurst: Measures market chaos. The ribbon turns Gray/Faded during choppy conditions to warn against trading. 2. Flow Engine (Whale Validation) Whale Volume: Checks for relative volume spikes (> 1.2x average) and Money Flow intensity. Confirmation: Signals are stronger when accompanied by the Whale Icon (🐋), indicating institutional participation. 3. Liquidity Magnets (Targets) Logic: Automatically detects recent Swing Highs and Lows. Visuals: Dashed lines extend forward to act as dynamic Support/Resistance levels or Take Profit targets. Behavior: Lines disappear when price tests (breaks) them, indicating "Liquidity Taken". Visuals Cloud: Dynamic Green/Red fill between the ribbon lines. HUD: Heads-Up Display showing current Trend, Market State (Clean/Chop), Flow Status, and Active Magnets. Labels: Clean "Tag" style labels for entry signa
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CustomQuantLabs tarafından
Kurtosis with Skew Crossover Focused OscillatorDescription: This indicator highlights Skewness/Kurtosis crossovers for short-term trading: Green upward arrows: Skew crosses above Kurtosis → potential long signal. Red downward arrows: Skew crosses below Kurtosis → potential short signal. Yellow upward arrows: Extreme negative skew (skew ≤ -1.7) → potential oversold/reversal opportunity. Oscillator Pane: Orange = Skewness (smoothed) Blue = Kurtosis (adjusted, smoothed) Zero line = visual reference Usage: Primarily for 2–5 minute charts, highlighting statistical anomalies and potential short-term reversals that can be used in conjunction with OBV and/or CVD Arrows signal potential entries based on skew/kurt dynamics. Potential ideas??????? --------------------------------------- Add Supporting Market Context --------------------------------------- Currently, signals are purely based on skew/kurt crossovers. Adding supporting indicators could improve reliability: Volume / CVD: Identify when crossovers occur with real buying/selling pressure. Wick Imbalance: Detect forced moves in price structure. Volatility Regime (Parkinson / ATR): Filter signals during high volatility spikes or compressions. Experimentation: Try weighting these supporting signals to dynamically confirm or filter skew/kurt crossovers and see if false signals decrease on 2–5 minute charts. -------------------------------------- Dynamic Thresholds & Scaling -------------------------------------- Right now, the extreme skew signal is triggered at a fixed level (skew ≤ -1.7). Future improvements could include: Adaptive thresholds: Scale extreme skew levels based on recent standard deviation or intraday volatility. Kurtosis thresholds: Introduce a cutoff for kurtosis to identify “fat-tail” events. Experimentation: Backtest different adaptive thresholds for both skew and kurt, and see how it affects the precision vs. frequency of signals. -------------------------------------------------- Multi-Timeframe or Combined Oscillator -------------------------------------------------- Skew/kurt signals could be combined across multiple intraday timeframes (e.g., 1-min, 3-min, 5-min) to improve confirmation. Create a composite oscillator that blends short-term and slightly longer-term skew/kurt values to reduce noise. Experimentation: Compare a single timeframe approach vs multi-timeframe composite, and measure signal reliability and lag. I'm leaving this open so anyone can experiment with it as this project may be on the backburner, but these are my thoughts so far
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Dr_Wallstreet tarafından
The Rumer's Box Theory“The Rumer's Box Theory” is a visual trading indicator that allows traders to quickly identify the previous daily candle’s high and low across any timeframe. It displays a purple box spanning the previous day’s high to low, with a blue horizontal line marking the 50% midpoint for quick reference. The settings also provide options to extend the box and midpoint line to the left, giving traders flexibility in how the indicator appears on the chart.
Pine Script® göstergesi
rzhanley tarafından
3
Dynamic 15-Ticker Multi-Symbol Table 2025 EditionTitle: Dynamic 15-Ticker Multi-Symbol Table 2025 Edition Description: This script provides a multi-ticker table for TradingView charts. It is fully open-source and free to use. The table displays up to 15 tickers, including SPY as the baseline symbol. The script updates in real-time on any timeframe. Features: SPY baseline: The first row always shows SPY for reference. Custom tickers: Add up to 14 additional tickers via the input settings. Rows without tickers remain hidden. Price and direction: Each ticker row displays the current price and an indicator of direction based on recent price movement. RSI (14) indicator: Shows the current relative strength index value with a simple directional marker. Volume formatting: Displays volume values in thousands, millions, or billions automatically. Volume change is indicated with directional markers. Stable layout: The table uses alternating row colors for readability and maintains consistent row count without collapsing or disappearing rows. Real-time updates: All displayed values refresh automatically on any chart timeframe. How to use: Add the script to your chart. Enter your chosen tickers in the input settings. SPY will remain as the first ticker automatically. Tickers not entered will remain hidden. When a ticker is removed, the row will be removed-dynamically. Observe live prices, RSI values, and volume changes directly on your chart without switching symbols. Additional notes: The script is fully open-source; users are encouraged to modify or improve it. No external links or references are required to understand its function. This script does not repaint and does not require additional requests to update values.
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GammaBulldog tarafından
DAILY AND WEEKLY MID LINESDAILY AND WEEKLY MID LINES INDICATOR Description: This indicator calculates and visualizes the dynamic midpoint (mid) of the current day and week in real-time. It provides traders with key reference levels based on developing price action. Features: Daily Mid Line: Color: Orange Thickness: 3 pixels Style: Solid line Updates: Automatically recalculates with each new candle Calculation: Average of the day's highest high and lowest low from market open Weekly Mid Line: Color: Blue Thickness: 3 pixels Style: Dashed line Updates: Continuously recalculates throughout the week Calculation: Average of the week's highest high and lowest low from week start How It Works: At the start of each new trading day (00:00), the daily mid line resets and begins calculating from the first candle At the start of each new trading week (typically Monday), the weekly mid line resets and begins fresh calculations Both lines extend automatically to the right as new candles form The lines are dynamic - they adjust as new highs/lows are made during the day/week Trading Applications: Support/Resistance Levels: The mid lines act as natural equilibrium points where price may find temporary support or resistance Daily mid can serve as intraday pivot, weekly mid as broader market balance point Trend Analysis: Price consistently above mid lines suggests bullish momentum Price consistently below mid lines suggests bearish momentum Relationship between daily and weekly mid lines shows multi-timeframe alignment Entry/Exit Signals: Price crossing above daily mid may indicate short-term bullish momentum Price crossing below daily mid may indicate short-term bearish momentum Weekly mid breaks can signal more significant trend changes Market Context: Distance between price and mid lines indicates market extremity Steeper mid line slopes suggest stronger directional momentum Flat mid lines suggest range-bound or consolidating markets Confluence Trading: Combine with other indicators (RSI, MACD, moving averages) for confirmation Use as dynamic levels for stop-loss placement or take-profit targets Best Practices: More effective on higher timeframes (1H, 4H, Daily) for clearer signals Works well in trending markets where mid lines act as moving support/resistance Monitor for price rejection or acceptance at mid levels for trading decisions Use in conjunction with volume analysis for confirmation Psychological Significance: Mid points often represent fair value areas where buyers and sellers find temporary equilibrium, making them natural decision points for market participants. This indicator is particularly useful for day traders, swing traders, and position traders looking for dynamic, real-time reference points that adapt to current market conditions rather than relying on static historical levels.
Pine Script® göstergesi
PipsPilot tarafından
ATR% Multiple from MA (with QQQ Reference)ATR% Multiple from MA (with QQQ Reference) This indicator measures how extended a stock's price is from its moving average, normalized by volatility (ATR). It's useful for identifying overbought/oversold conditions and timing profit-taking. How it works: ATR% = ATR / Current Price (volatility as % of price) % Gain From MA = How far price is from the moving average ATR% Multiple From MA = % Gain From MA ÷ ATR% Features: Displays ATR% Multiple for the current symbol Adds QQQ ATR% Multiple as a market benchmark reference Shows % Gain From MA and ATR % for additional context Customizable MA type (SMA, EMA, WMA, VWMA) and lengths Usage: Values of 7-10+ suggest taking partial profits (price is extended) Negative values suggest oversold conditions Compare your stock's extension to QQQ to gauge relative strength Inspired by jfsrev's original ATR% Multiple from 50-MA concept, with added QQQ market reference:
Pine Script® göstergesi
lukelwang tarafından
ATR% Multiple from MA (with QQQ Reference)ATR% Multiple from MA (with QQQ Reference) This indicator measures how extended a stock's price is from its moving average, normalized by volatility (ATR). It's useful for identifying overbought/oversold conditions and timing profit-taking. How it works: ATR% = ATR / Current Price (volatility as % of price) % Gain From MA = How far price is from the moving average ATR% Multiple From MA = % Gain From MA ÷ ATR% Features: Displays ATR% Multiple for the current symbol Adds QQQ ATR% Multiple as a market benchmark reference Shows % Gain From MA and ATR % for additional context Customizable MA type (SMA, EMA, WMA, VWMA) and lengths Usage: Values of 7-10+ suggest taking partial profits (price is extended) Negative values suggest oversold conditions Compare your stock's extension to QQQ to gauge relative strength Inspired by jfsrev's original ATR% Multiple from 50-MA concept, with added QQQ market reference:
Pine Script® göstergesi
lukelwang tarafından