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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. █████████████████████████████████████████████████████████████
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The_lurkerの投稿
4
BOS and CHoCHThe market never moves in a straight line. It moves in waves. It makes a High, comes down a bit (Low), then breaks the previous High to make a new High. Similarly, It makes a Low, goes up a bit (High), then breaks the previous Low to make a new Low. BOS (Break Of Structure) - Trend Continuation BOS means the market is continuing its current trend. If the market is in an Uptrend and breaks the old "High" -> Bullish BOS. If the market is in a Downtrend and breaks the old "Low" -> Bearish BOS. 3. CHOCH (Change Of Character) - Trend Reversal CHOCH means the mood of the market has changed. For the first time, the trend has shifted its nature. Bullish to Bearish CHOCH: The market was making Higher Highs, but suddenly it broke its previous "Low". Now the market can fall. Bearish to Bullish CHOCH: The market was falling (Lower Lows), but suddenly it broke its previous "High". Now the market can rise. BOS: Confirms the trend (Breaking the ceiling to go higher). CHOCH: Signals a trend change (Slipping and falling below the previous floor).
Pine Script® インジケーター
Stable_Logicの投稿
QLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUTQLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUT QLC v8.4 — Gibauum Beast Edition (Self-Adaptive Lorentzian Classification + Anti-Fakeout The most powerful open-source Lorentzian / KNN strategy ever released on TradingView. Key Features • True Approximate Nearest Neighbors using Lorentzian Distance (extremely robust to outliers) • 5 hand-picked, z-score normalized features (RSI, WaveTrend, CCI, ADX, RSI) • Real-time self-learning engine — the indicator tracks its own past predictions and automatically adjusts Lorentzian Power and number of neighbors (k) to maximize live accuracy • Live Win-Rate calculation (last 100 strong signals) shown on dashboard • Super-aggressive early entries on extreme predictions (|Pred| ≥ 12) • Smart dynamic exits with Kernel + ATR trailing • Powerful Anti-Fakeout filter — blocks entries on massive volume spikes (stops almost all whale dumps and liquidation cascades) • SuperTrend + low choppiness + volatility filters → only trades in strong trending regimes • Beautiful huge arrows + “GOD MODE” label when conviction is nuclear Performance (real-time monitored on BTC, ETH, SOL 15m–4h) → Average live win-rate 74–84 % after the first few hours of adaptation → Almost zero false breakouts thanks to the volume-spike guard Perfect for scalping, day trading and swing trading crypto and major forex pairs. No repainting | Bar-close confirmed | Works on all timeframes (best 15m–4h) Enjoy the beast.
Pine Script® インジケーター
glbrtsantoslimaの投稿
CSS_LFU_v0.1Overview: A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution. Core Modules: AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop. QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points. Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA. WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals. Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends. Signal Logic: Each module outputs a discrete score (+1 / 0 / -1). The rolling composite score sums all module scores over the lookback period. Long positions trigger when the rolling score meets or exceeds the long threshold. Short positions trigger when the rolling score meets or falls below the short threshold. Multi-dimensional signal aggregation reduces false positives from single indicators. Rolling lookback ensures score normalization across different volatility regimes. Highly modular: easy to adapt modules or weights to different instruments or timeframes. Fully compatible with automated execution pipelines, including custom exchange screener bots. Use Case: Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
Pine Script® ストラテジー
losfalco-User-1f670の投稿
Fib and Slope Trend Detector [EWT] + MTF Dashboard🚀 Overview The Momentum Structure Trend Detector is a sophisticated trend-following tool that combines Price Velocity (Slope) with Market Structure (Fibonacci) to identify high-probability trend reversals and continuations. Unlike traditional indicators that rely heavily on lagging moving averages, this script analyzes the speed of price action in real-time. It operates on the core principle of market structure: Impulse moves are fast and steep, while corrections are slow and shallow. 🧠 The Logic: Physics Meets Market Structure This indicator determines the trend direction by calculating the Slope (Velocity) of price swings. ZigZag Calculation: It first identifies market swings (Highs and Lows) using a standard pivot detection algorithm. Slope Calculation: It calculates the velocity of every completed leg using the formula: $Slope = \frac{|Price Change|}{|Time Duration|}$. Trend Definition: Uptrend : If the previous Up-move was fast (Impulse) and the subsequent Down-move is slower (Correction), the market is primed for an uptrend. Downtrend : If the previous Down-move was fast (Impulse) and the subsequent Up-move is slower (Correction), the market is primed for a downtrend. 🔥 Key Features 1. Aggressive Real-Time Detection (No Lag) Most structure indicators wait for a "Higher High" to confirm a trend, which often leads to late entries. This script uses an Aggressive Live Slope calculation: It compares the current developing slope of the live price action against the slope of the previous completed leg. Result: As soon as the current move becomes "steeper" (faster) than the previous correction, the trend flips immediately. This allows you to catch the "meat" of the move before a new pivot is even confirmed. 2. Fibonacci Validity Filter Momentum alone isn't enough; we need structural integrity. The script calculates the 78.6% Retracement level of the impulse leg. If a correction moves deeper than this Fibonacci limit (on a closing basis), the trend structure is considered "broken" or "invalid," and the indicator switches to a Neutral state. This filters out choppy/ranging markets. 3. Multi-Timeframe (MTF) Dashboard A customizable dashboard on the chart allows for fractal analysis. You can view the trend state (UP/DOWN/NEUTRAL) across 9 different timeframes (1m to 1M) simultaneously. Green Row : Uptrend Red Row : Downtrend Gray : Neutral/Indeterminate 4. Smart Visuals Background Colo r: Changes dynamically (Teal for Bullish, Red for Bearish, Gray for Neutral) to give you an instant read of the market state. Slope Labels : Displays the calculated numeric slope on the chart, helping you visualize the momentum difference between impulse and corrective waves. Invalidation Levels : Automatically plots the invalidation line (Stop Loss level) based on the market structure. 🛠️ Settings & Inputs Strategy Settings Pivot Deviation Length : Sensitivity of the ZigZag calculation (Default: 5). Lower numbers = more sensitive to small swings. Max Retracement % : The Fibonacci limit for a valid correction (Default: 78.6%). Min Bars for Live Calc : To prevent noise, the script waits for this many bars after a pivot before calculating the "Live Slope" (Default: 3). Dashboard Settings Show Dashboard : Toggle the table on/off. Timeframe Toggles : Enable/Disable specific timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M) to suit your trading style. 🎯 How to Use Wait for Background Change : When the background turns Teal, it indicates that a corrective pullback has ended and a new impulse with high velocity has begun. Check Invalidation : Look at the plotted Stop Loss Level. If price closes below this line, the trade idea is invalid. Confirm with Dashboard : Use the table to ensure the higher timeframes (e.g., 1H, 4H) align with your current chart's direction for higher probability setups. Disclaimer : This tool is designed for trend analysis and educational purposes. Past performance (momentum) is not indicative of future results. Always manage your risk.
Pine Script® インジケーター
YetAnotherTAの投稿
2
Ehlers Even Better Sinewave (EBSW)# EBSW: Ehlers Even Better Sinewave ## Overview and Purpose The Ehlers Even Better Sinewave (EBSW) indicator, developed by John Ehlers, is an advanced cycle analysis tool. This implementation is based on a common interpretation that uses a cascade of filters: first, a High-Pass Filter (HPF) to detrend price data, followed by a Super Smoother Filter (SSF) to isolate the dominant cycle. The resulting filtered wave is then normalized using an Automatic Gain Control (AGC) mechanism, producing a bounded oscillator that fluctuates between approximately +1 and -1. It aims to provide a clear and responsive measure of market cycles. ## Core Concepts * **Detrending (High-Pass Filter):** A 1-pole High-Pass Filter removes the longer-term trend component from the price data, allowing the indicator to focus on cyclical movements. * **Cycle Smoothing (Super Smoother Filter):** Ehlers' Super Smoother Filter is applied to the detrended data to further refine the cycle component, offering effective smoothing with relatively low lag. * **Wave Generation:** The output of the SSF is averaged over a short period (typically 3 bars) to create the primary "wave". * **Automatic Gain Control (AGC):** The wave's amplitude is normalized by dividing it by the square root of its recent power (average of squared values). This keeps the oscillator bounded and responsive to changes in volatility. * **Normalized Oscillator:** The final output is a single sinewave-like oscillator. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | | ----------- | ------- | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- | | Source | close | Price data used for calculation. | Typically `close`, but `hlc3` or `ohlc4` can be used for a more comprehensive price representation. | | HP Length | 40 | Lookback period for the 1-pole High-Pass Filter used for detrending. | Shorter periods make the filter more responsive to shorter cycles; longer periods focus on longer-term cycles. Adjust based on observed cycle characteristics. | | SSF Length | 10 | Lookback period for the Super Smoother Filter used for smoothing the detrended cycle component. | Shorter periods result in a more responsive (but potentially noisier) wave; longer periods provide more smoothing. | **Pro Tip:** The `HP Length` and `SSF Length` parameters should be tuned based on the typical cycle lengths observed in the market and the desired responsiveness of the indicator. ## Calculation and Mathematical Foundation **Simplified explanation:** 1. Remove the trend from the price data using a 1-pole High-Pass Filter. 2. Smooth the detrended data using a Super Smoother Filter to get a clean cycle component. 3. Average the output of the Super Smoother Filter over the last 3 bars to create a "Wave". 4. Calculate the average "Power" of the Super Smoother Filter output over the last 3 bars. 5. Normalize the "Wave" by dividing it by the square root of the "Power" to get the final EBSW value. **Technical formula (conceptual):** 1. **High-Pass Filter (HPF - 1-pole):** `angle_hp = 2 * PI / hpLength` `alpha1_hp = (1 - sin(angle_hp)) / cos(angle_hp)` `HP = (0.5 * (1 + alpha1_hp) * (src - src )) + alpha1_hp * HP ` 2. **Super Smoother Filter (SSF):** `angle_ssf = sqrt(2) * PI / ssfLength` `alpha2_ssf = exp(-angle_ssf)` `beta_ssf = 2 * alpha2_ssf * cos(angle_ssf)` `c2 = beta_ssf` `c3 = -alpha2_ssf^2` `c1 = 1 - c2 - c3` `Filt = c1 * (HP + HP )/2 + c2*Filt + c3*Filt ` 3. **Wave Generation:** `WaveVal = (Filt + Filt + Filt ) / 3` 4. **Power & Automatic Gain Control (AGC):** `Pwr = (Filt^2 + Filt ^2 + Filt ^2) / 3` `EBSW_SineWave = WaveVal / sqrt(Pwr)` (with check for Pwr == 0) > 🔍 **Technical Note:** The combination of HPF and SSF creates a form of band-pass filter. The AGC mechanism ensures the output remains scaled, typically between -1 and +1, making it behave like a normalized oscillator. ## Interpretation Details * **Cycle Identification:** The EBSW wave shows the current phase and strength of the dominant market cycle as filtered by the indicator. Peaks suggest cycle tops, and troughs suggest cycle bottoms. * **Trend Reversals/Momentum Shifts:** When the EBSW wave crosses the zero line, it can indicate a potential shift in the short-term cyclical momentum. * Crossing up through zero: Potential start of a bullish cyclical phase. * Crossing down through zero: Potential start of a bearish cyclical phase. * **Overbought/Oversold Levels:** While normalized, traders often establish subjective or statistically derived overbought/oversold levels (e.g., +0.85 and -0.85, or other values like +0.7, +0.9). * Reaching above the overbought level and turning down may signal a potential cyclical peak. * Falling below the oversold level and turning up may signal a potential cyclical trough. ## Limitations and Considerations * **Parameter Sensitivity:** The indicator's performance depends on tuning `hpLength` and `ssfLength` to prevailing market conditions. * **Non-Stationary Markets:** In strongly trending markets with weak cyclical components, or in very choppy non-cyclical conditions, the EBSW may produce less reliable signals. * **Lag:** All filtering introduces some lag. The Super Smoother Filter is designed to minimize this for its degree of smoothing, but lag is still present. * **Whipsaws:** Rapid oscillations around the zero line can occur in volatile or directionless markets. * **Requires Confirmation:** Signals from EBSW are often best confirmed with other forms of technical analysis (e.g., price action, volume, other non-correlated indicators). ## References * Ehlers, J. F. (2002). *Rocket Science for Traders: Digital Signal Processing Applications*. John Wiley & Sons. * Ehlers, J. F. (2013). *Cycle Analytics for Traders: Advanced Technical Trading Concepts*. John Wiley & Sons.
Pine Script® インジケーター
mihakraljの投稿
1
Hello Crypto! Modern Combo Snapshot Unified long/short analyzer blending EMA structure, SuperTrend, WaveTrend, QQE, and volume pressure. Background shading flags “watch” and “ready” states; optional long/short modules let you focus on one side. Alerts fire when every checklist item aligns, while the side-panel table summarizes trend, momentum, liquidity, and overall score in real time. Indicator → Trend Analysis Indicator → Momentum Oscillators Indicator → Volume Indicators Tags: cryptocurrency, bitcoin, altcoins, trend-following, momentum, volume, ema, supertrend, intraday, swing-trading, alerts, checklist, trading-strategy, risk-management
Pine Script® インジケーター
webmachoの投稿
Cycle VTLs – with Scaled Channels "Cycle VTLs – with Scaled Channels" for TradingView plots Valid Trend Lines (VTLs) based on Hurst's Cyclic Theory, connecting consecutive price peaks (downward VTLs) or troughs (upward VTLs) for specific cycles. It uses up to eight Simple Moving Averages (SMAs) (default lengths: 25, 50, 100, 200, 400, 800, 1600, 1600 bars) with customizable envelope bands to detect pivots and draw VTLs, enhanced by optional parallel channels scaled to envelope widths. Key Features: Valid Trend Lines (VTLs): Upward VTLs: Connect consecutive cycle troughs, sloping upward. Downward VTLs: Connect consecutive cycle peaks, sloping downward. Hurst’s Rules: Connects consecutive cycle peaks/troughs. Must not cross price between points. Downward VTLs: No longer-cycle trough between peaks. Invalid if slope is incorrect (upward VTL not up, downward VTL not down). Expired VTLs: Historical VTLs (crossed by price) from up to three prior cycle waves. SMA Cycles: Eight customizable SMAs with envelope bands (offset × multiplier) for pivot detection. Channels: Optional parallel lines around VTLs, width set by channelFactor × envelope half-width. Pivot Detection: Fractal-based (pivotPeriod) on envelopes or price (usePriceFallback). Customization: Toggle cycles, VTLs, and channels. Adjust SMA lengths, offsets, colors, line styles, and widths. Enable centered envelopes, slope filtering, and limit stored lines (maxStoredLines). Usage in Hurst’s Cyclic TheoryAnalysis: VTLs identify cycle trends; upward VTLs suggest bullish momentum, downward VTLs bearish. Price crossing below an upward VTL confirms a peak in the next longer cycle; crossing above a downward VTL confirms a trough. Trading: Buy: Price bounces off upward VTL or breaks above downward VTL. Sell: Price rejects downward VTL or breaks below upward VTL. Use channels for support/resistance, breakouts, or stop-loss/take-profit levels. Workflow: Add indicator on TradingView. Enable desired cycles (e.g., 50-bar, 1600-bar), adjust pivotPeriod, channelFactor, and showOnlyCorrectSlope. Monitor VTL crossings and channels for trade signals. NotesOptimized for performance with line limits. Ideal for cycle-based trend analysis across markets (stocks, forex, crypto). Debug labels show pivot counts and VTL status. This indicator supports Hurst’s Cyclic Theory for trend identification and trading decisions with flexible, cycle-based VTLs and channels. Use global variable to scale to chart. best results use factors of 2 and double. try 2, 4, 8, 16...128, 256, etc until price action fits 95% in smallest cycle.
Pine Script® インジケーター
surfchaserの投稿
Pro Momentum Table + Trade Alerts📊 Indicator Name: Pro Momentum Table – ADX + DI + ATR + Astro Timing 🧠 Concept: This indicator is designed for professional scalpers and intraday traders who want to capture only strong momentum waves — not noise. It combines trend strength, volatility, directional movement, momentum oscillation, vega divergence, and astrological timing into a single compact table on your chart. ⚙️ Components Explained: Metric Description ADX (Average Directional Index) Measures the strength of the trend. Values above 20 indicate that a meaningful move is starting. +DI / -DI (Directional Indicators) Show whether buyers (+DI) or sellers (-DI) are dominating. Increasing +DI with ADX rising = bullish momentum. Increasing -DI with ADX rising = bearish momentum. ATR (Average True Range) Shows volatility and expected range. Used for setting realistic stop-loss and multi-level targets (1×, 1.5×, 2×, 2.5× ATR). Price Displays the current price level for quick reference. CMO (Chande Momentum Oscillator) Measures short-term momentum direction and strength. Helps identify overbought/oversold conditions in trend continuation. Vega Divergence Shows a synthetic reading of volatility pressure — "Bullish" when volatility expansion supports upward moves, "Bearish" for downward pressure, and "Neutral" otherwise. Astro Remark Suggests ideal time windows based on planetary cycles for scalping entries. “Bullish Window” often aligns with high-probability long trades; “Bearish Window” favors shorts. Trade Signal The core momentum condition: “Bullish Momentum” if ADX > 20 and +DI rising, “Bearish Momentum” if ADX > 20 and -DI rising, else “No Clear Momentum.” 📈 How to Use: Wait for ADX > 20 – This confirms that the market is entering a strong momentum phase. Check DI direction: ✅ +DI rising: Buyers gaining strength → look for long setups. ✅ -DI rising: Sellers gaining strength → look for short setups. Use ATR to plan exits: 🎯 TP1 = Entry ± 1 × ATR 🎯 TP2 = Entry ± 1.5 × ATR 🎯 TP3 = Entry ± 2 × ATR 🎯 TP4 = Entry ± 2.5 × ATR CMO & Vega Divergence: Confirm momentum direction and volatility expansion before committing. Astro Remark: Align your scalping activity with the planetary support window for higher probability trades. 🪙 Pro Tips for Scalpers: Only trade when ADX > 20 and DI is consistently rising. Ignore signals in choppy or sideways phases. Avoid trades if Vega is neutral and CMO is flat – these usually indicate fake breakouts. If targets aren’t hit within expected ATR-based time, treat the move as false and exit early. Combine with 9 EMA and 20 EMA (hidden) for wave structure confirmation without cluttering the chart. 💡 Summary: This indicator acts as a real-time trade decision dashboard. It removes clutter from the chart and delivers everything a professional scalper needs — strength, direction, volatility, momentum, timing, and actionable trade bias — all in one elegant table.
Pine Script® インジケーター
maheshdevneの投稿
EvoTrend-X Indicator — Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator — Evolutionary Trend Learner NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasn’t the original research language, so there may be small quirks—your feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter. ⸻ What it is EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small “population” of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout. Core outputs • Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning) • Spread cross (Fast – Slow) → visual BUY/SELL markers + alert hooks • Confidence % (0–100): Fitness ⊕ Distance vs. ATR ⊕ MTF agreement • Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional) • Candidate Fitness Ribbon: shows which lengths the learner currently prefers • Export plot: hidden series “EvoTrend-X Export (spread)” for downstream use ⸻ Why it’s different • Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair. • Confidence gate: Signals don’t light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend. • Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your “why no signal?” answer is always visible in the STATUS. • Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one. • Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls. ⸻ Presets (and what they do) • FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings. • FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions. • Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves. • Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise. • Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets. ⸻ How the learning works (at a glance) 1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast × multiplier (default ×2.0). 2. Reward/decay: If price change and the candidate’s Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past. 3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair. 4. Signal engine: Crosses of the spread (Fast − Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them. ⸻ Controls & what they mean Learning / Regime • Slow length = Fast ×: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws. • ER length / threshold: Kaufman Efficiency Ratio; above threshold = “Trending” background. • Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten. Confidence / Volatility gate • Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency. • ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier. • Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% → status shows BLOCK: low vola. MTF Trend Filter • Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone. 2) FX index/majors, 15m (active intraday) • Preset: FX 15m (Active). • Gate: MinConf 60–70; Min ATR% 0.15–0.30. • Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appear—good early warning. 3) SPY / Index futures, 1D (positioning) • Preset: Equities 1D. • Gate: MinConf 55–65; Min ATR% 0.05–0.12. • Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars. 4) BTCUSD, 1H (24/7) • Preset: Crypto 1H. • Gate: MinConf 70–80; Min ATR% 0.20–0.35. • Flow: Crypto chops—volatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down. ⸻ Reading the Info Panel (and fixing “no signals”) The panel is your self-diagnostic: • HTF OK? False means the higher-timeframe EMAs disagree with your intended side. • Regime: If “Chop”, ER < threshold. Consider raising the threshold or waiting. • Confidence: Heat-colored; if below MinConf, the gate blocks signals. • ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola. • STATUS (composite): • BLOCK: low vola → increase Min ATR% down (i.e., allow lower vol) or wait for expansion. • BLOCK: HTF filter → disable HTF or align with the HTF tide. • BLOCK: confidence → lower MinConf slightly or wait for stronger alignment. • OK → you’ll see markers on valid crosses. ⸻ Alerts Two static alert hooks: • BUY cross — spread crosses up and all gates (ER, Vol, MTF, Confidence) are open. • SELL cross — mirror of the above. Create them once from “Add Alert” → choose the condition by name. ⸻ Exporting to other scripts In your other Pine indicators/strategies, add an input.source and select EvoTrend-X → “EvoTrend-X Export (spread)”. Common uses: • Build a rule: only trade when exported spread > 0 (trend filter). • Combine with your oscillator: oscillator oversold and spread > 0 → buy bias. ⸻ Best practices • Let it learn: Keep Learning step moderate (0.4–0.6) and Decay close to 1.0 (e.g., 0.99–0.997) for smooth regime memory. • Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H ≈ 0.10–0.20; crypto 1H ≈ 0.20–0.35; equities 1D ≈ 0.05–0.12. • MTF discipline: HTF filter removes lots of “almost” trades. If you prefer aggressive entries, turn it off and rely more on Confidence. • Confidence as throttle: • 40–60%: exploratory; expect more signals. • 60–75%: balanced; good daily driver. • 75–90%: selective; catch the clean stuff. • 90–100%: only A-setups; patient mode. • Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, you’re in a slower trend cycle. ⸻ Non-repainting & safety notes • All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on. • No forward references; decisions rely on confirmed bar data. • EMA lengths are simple ints (no series-length errors). • Confidence components are computed every bar (no conditional ta.* traps). ⸻ Limitations & tips • Chop happens: ER helps, but sideways microstructure can still flicker—use Confidence + Vol filter as brakes. • Presets ≠ oracle: They’re sensible baselines; always tune MinConf and Min ATR% to your venue and session. • Theme “Auto”: Pine cannot read chart theme; “Auto” defaults to a Dark-friendly palette. ⸻ Publisher’s Screenshots Checklist 1) FX swing — EURUSD 1H • Preset: FX 1H (Conservative) • Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50) • Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible. 2) FX intraday — GBPUSD 15m • Preset: FX 15m (Active) • Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m) • Show: SELL cross near London session open. HTF lines enabled (translucent). • Caption: “GBPUSD 15m • Active session sell with MTF alignment.” 3) Indices — SPY 1D • Preset: Equities 1D • Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50) • Show: Longer trend run after BUY cross; regime shading shows persistence. • Caption: “SPY 1D • Trend run after BUY cross; weekly filter aligned.” 4) Crypto — BINANCE:BTCUSDT 1H • Preset: Crypto 1H • Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H) • Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows → greens). • Caption: “BTCUSDT 1H • Momentum break with high confidence and ribbon turning.”
Pine Script® インジケーター
ACTradeFINの投稿
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration. 🔶 Advanced Channel Construction Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones. // Core Channel Calculation Framework maType = input.string("EMA", title="Moving Average Type", options= ) // Short-Term Group Construction stMA1 = ma(close, st1, maType) stMA2 = ma(close, st2, maType) // Long-Term Group Construction ltMA1 = ma(close, lt1, maType) ltMA2 = ma(close, lt2, maType) // Smoothing Application smoothedavg = ma(overallAvg, 10, maType) 🔶 Volatility-Adaptive Zone Framework Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns. // Dynamic Sentiment Adjustment shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11 longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11 // Dual-Group Zone Optimization overallAvg = (shortTermAvg + longTermAvg) / 2 allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22 🔶 Step-Like Boundary Evolution Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing. 🔶 Comprehensive Signal Detection Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing. 🔶 Enhanced Visual Architecture Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation. 🔶 Intelligent Zone Management Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions. 🔶 Multi-Dimensional Analysis Framework Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy. 🔶 Advanced Alert Integration Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations. 🔶 Performance Optimization Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes. This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
Pine Script® インジケーター
AlphaExtractの投稿
2
Swing Oracle Stock// (\_/) // ( •.•) // (")_(") 📌 Swing Oracle Stock – Professional Cycle & Trend Detection Indicator The Swing Oracle Stock is an advanced market analysis tool designed to highlight price cycles, trend shifts, and key trading zones with precision. It combines trendline dynamics, normalized oscillators, and multi-timeframe confirmation into a single comprehensive indicator. 🔑 Key Features NDOS (Normalized Dynamic Oscillator System): Measures price strength relative to recent highs and lows to detect overbought, neutral, and oversold zones. Dynamic Trendline (EMA8 or SMA231): Flexible source selection for adapting to different trading styles (scalping vs. swing). Multi-Timeframe H1 Confirmation: Adds higher-timeframe validation to improve signal reliability. Automated Buy & Sell Signals: Triggered only on significant crossovers above/below defined levels. Weekly Cycles (7-day M5 projection): Tracks recurring time-based market cycles to anticipate reversal points. Intuitive Visualization: Colored zones (high, low, neutral) for quick market context. Optional background and candlestick coloring for better clarity. Multi-Timeframe Cross Table: Automatically compares SMA50 vs. EMA200 across multiple timeframes (1m → 4h), showing clear status: ⭐️⬆️ UP = bullish trend confirmation 💀⬇️ Drop = bearish trend confirmation 📊 Built-in Statistical Tools Normalized difference between short and long EMA. Projected normalized mean levels plotted directly on the main chart. Dynamic analysis of price distance from SMA50 to capture market “waves.” 🎯 Use Cases Spot trend reversals with multi-timeframe confirmation. Identify powerful breakout and breakdown zones. Time entries and exits based on trend + cycle confluence. Enhance market timing for swing trades, scalps, or long-term positions. ⚡ Swing Oracle Stock brings together cycle detection, oscillator normalization, and multi-timeframe confirmation into one streamlined indicator for traders who want a professional edge.
Pine Script® インジケーター
FollowtheWhiteRabbitzの投稿
cd_HTF_bias_CxOverview: No matter our trading style or model, to increase our success rate, we must move in the direction of the trend and align with the Higher Time Frame (HTF). Trading "gurus" call this the HTF bias. While we small fish tend to swim in all directions, the smart way is to flow with the big wave and the current. This indicator is designed to help us anticipate that major wave. ________________________________________ Details and Usage: This indicator observes HTF price action across preferably seven different pairs, following specific rules. It confirms potential directional moves using CISD levels on a Medium Time Frame (MTF). In short, it forecasts the likely direction (HTF bias). The user can then search for trade opportunities aligned with this bias on a Lower Time Frame (LTF), using their preferred pair, entry model, and style. ________________________________________ Timeframe Alignment: The commonly accepted LTF/MTF/HTF combinations include: • 1m – 15m – H4 • 3m – H1 – Daily / 3m – 30m – Daily • 5m – H1 – Daily • 15m – H4 – Weekly • H1 – Daily – Monthly • H4 – Weekly – Quarterly Example: If you're trading with a 3m model on a 30m/3m setup, you should seek trades in the direction of the H1/Daily bias. ________________________________________ How It Works: The indicator first looks for sweeps on the selected HTF — when any of the last four candles are swept, the first condition is met. The second step is confirmation with a CISD close on the MTF — once a candle closes above/below the CISD level, the second condition is fulfilled. This suggests the price has made its directional decision. Example: If a previous HTF candle is swept and we receive a bearish CISD confirmation on H1, the HTF bias becomes bearish. After this, you may switch to a more granular setup like HTF: 30m and MTF: 3m to look for trade entries aligned with the bias (e.g., 30m sweep + 3m CISD). ________________________________________ How Is Bias Determined? • HTF Sweep + MTF CISD = SC (Sweep & CISD) • Latest Bullish SC → Bias: Bullish • Latest Bearish SC → Bias: Bearish • Price closes above the last Bearish SC → Bias: Strong Bullish • Price closes below the last Bullish SC → Bias: Strong Bearish • Strong Bullish bias + Bearish CISD (without HTF sweep) → Bias: Bullish • Strong Bearish bias + Bullish CISD (without HTF sweep) → Bias: Bearish • Bearish price violates SC high, but Bullish SC is untouched → Bias: Bullish • Bullish price violates SC low, but Bearish SC is untouched → Bias: Bearish • If neither side generates SC → Bias: No Bias The logic is built on the idea that a price overcoming resistance is stronger, and encountering resistance is weaker. This model is based on the well-known “Daily Bias” structure, but with personal refinements. ________________________________________ What’s on the Screen? • Classic HTF zones (boxes) • Potential MTF CISD levels • Confirmed MTF lines • Sweep zones when HTF sweeps occur • Result table showing current bias status ________________________________________ Usage: • Select HTF and MTF timeframes aligned with your trading timeframe. • Adjust color and position settings as needed. • Enter up to seven pairs to track via the menu. • Use the checkbox next to each pair to enable/disable them. • If “Ignore these assets” is checked, all pairs will be disabled, and only the currently open chart pair will be tracked. ________________________________________ Alerts: You can choose alerts for Bullish, Bearish, Strong Bullish, or Strong Bearish conditions. There are two types of alert sources: 1. From the indicator’s internal list 2. From TradingView’s watchlist Visual example: ________________________________________ How I Use It: • For spot trades, I use HTF: Weekly and MTF: H4 and look for Bullish or Strong Bullish pairs. • For scalping, I follow bias from HTF: Daily and MTF: H1. Example: If the indicator shows a Bearish HTF Bias, I switch to HTF: 30m and MTF: 3m and enter trades once bearish conditions are met (timeframe alignment). ________________________________________ Important Notes: • The indicator defines CISD levels only at HTF high and low levels. • If your chart is on a higher timeframe than your selected HTF/MTF, no data will appear. Example: If HTF = H1 and MTF = 5m, opening a chart on H4 will result in a blank screen. • The drawn CISD level on screen is the MTF CISD level. • Not every alert should be traded. Always confirm with personal experience and visual validation. • Receiving multiple Strong Bullish/Bearish alerts is intentional. (Trick 😊) • Please share your feedback and suggestions! ________________________________________ And Most Importantly: Don't leave street animals without water and food! Happy trading!
Pine Script® インジケーター
cdikici71の投稿
17
WT_CROSS Dip Buy Signal(ozkan)This script identifies potential buy opportunities based on WaveTrend (WT_CROSS) momentum crossing below the -60 level — often indicating oversold conditions. Additional filters include price being above the Kaufman Adaptive Moving Average (KAMA) and volume below the 5-period average, which helps isolate pullbacks within an uptrend. Buy Signal Conditions: WT1 < -60 Price > KAMA Volume < 5-period SMA of volume Purpose: To capture early entries at possible local bottoms during bullish trends while avoiding high-volume breakdown traps. 🔔 You can also set an alert based on this condition.
Pine Script® インジケーター
mlsdrの投稿
Quantum State Superposition Indicator (QSSI)Quantum State Superposition Indicator (QSSI) - Where Physics Meets Finance The Quantum Revolution in Market Analysis After months of research into quantum mechanics and its applications to financial markets, I'm thrilled to present the Quantum State Superposition Indicator (QSSI) - a groundbreaking approach that models price action through the lens of quantum physics. This isn't just another technical indicator; it's a paradigm shift in how we understand market behavior. The Theoretical Foundation Quantum Superposition in Markets In quantum mechanics, particles exist in multiple states simultaneously until observed. Similarly, markets exist in a superposition of potential states (bullish, bearish, neutral) until a significant volume event "collapses" the wave function into a definitive direction. The mathematical framework: Wave Function (Ψ): Represents the market's quantum state as a weighted sum of all possible states: Ψ = Σ(αᵢ × Sᵢ) Where αᵢ are probability amplitudes and Sᵢ are individual quantum states. Probability Amplitudes: Calculated using the Born rule, normalized so Σ|αᵢ|² = 1 Observation Operator: Volume/Average Volume ratio determines observation strength The Five Quantum States Momentum State: Short-term price velocity (EMA of returns) Mean Reversion State: Deviation from equilibrium (normalized z-score) Volatility Expansion State: ATR relative to historical average Trend Continuation State: Long-term price positioning Chaos State: Volatility of volatility (market uncertainty) Each state contributes to the overall wave function based on current market conditions. Wave Function Collapse When volume exceeds the observation threshold (default 1.5x average), the wave function "collapses," committing the market to a direction. This models how institutional volume forces markets out of uncertainty into trending states. Collapse Detection Formula: Collapse = Volume > (Threshold × Average Volume) Direction = Sign(Ψ) at collapse moment Advanced Quantum Concepts Heisenberg Uncertainty Principle The indicator calculates market uncertainty as the product of price and momentum uncertainties: ΔP × ΔM = ℏ (market uncertainty constant) This manifests as dynamic uncertainty bands that widen during unstable periods. Quantum Tunneling Calculates the probability of price "tunneling" through resistance/support barriers: P(tunnel) = e^(-2×|barrier_height|×√coherence_length) Unlike classical technical analysis, this gives probability of breakouts before they occur. Entanglement Measures the quantum correlation between price and volume: Entanglement = |Correlation(Price, Volume, lookback)| High entanglement suggests coordinated institutional activity. Decoherence When market states lose quantum properties and behave classically: Decoherence = 1 - Σ(amplitude²) Indicates trend emergence from quantum uncertainty. Visual Innovation Probability Clouds Three-tier probability distributions visualize market uncertainty: Inner Cloud (68%): One standard deviation - most likely price range Middle Cloud (95%): Two standard deviations - probable extremes Outer Cloud (99.7%): Three standard deviations - tail risk zones Cloud width directly represents market uncertainty - wider clouds signal higher entropy states. Quantum State Visualization Colored dots represent individual quantum states: Green: Momentum state strength Red: Mean reversion state strength Yellow: Volatility state strength Dot brightness indicates amplitude (influence) of each state. Collapse Events Aqua Diamonds (Above): Bullish collapse - upward commitment Pink Diamonds (Below): Bearish collapse - downward commitment These mark precise moments when markets exit superposition. Implementation Details Core Calculations Feature Extraction: Normalize price returns, volume ratios, and volatility measures State Calculation: Compute each quantum state's value Amplitude Assignment: Weight states by market conditions and observation strength Wave Function: Sum weighted states for final market quantum state Visualization: Transform quantum values to price space for display Performance Optimization - Efficient array operations for state calculations - Single-pass normalization algorithms - Optimized correlation calculations for entanglement - Smart label management to prevent visual clutter Trading Applications: Signal Generation Bullish Signals: - Positive wave function during collapse - High tunneling probability at support - Coherent market state with bullish bias Bearish Signals: - Negative wave function during collapse - High tunneling probability at resistance - Decoherent state transitioning bearish Risk Management Uncertainty-Based Position Sizing: Narrow clouds: Normal position size Wide clouds: Reduced position size Extreme uncertainty: Stay flat Quantum Stop Losses: - Place stops outside probability clouds - Adjust for Heisenberg uncertainty - Respect quantum tunneling levels Market Regime Recognition Quantum Coherent (Superposed): - Market in multiple states - Avoid directional trades - Prepare for collapse Quantum Decoherent (Classical): -Clear trend emergence - Follow directional signals - Traditional analysis applies Advanced Features Adaptive Dashboards Quantum State Panel: Real-time wave function, dominant state, and coherence status Performance Metrics: Win rate, signal frequency, and regime analysis Information Guide: Comprehensive explanation of all quantum concepts - All dashboards feature adjustable sizing for different screen resolutions. Multi-Timeframe Quantum Analysis The indicator adapts to any timeframe: Scalping (1-5m): Short coherence length, sensitive thresholds Day Trading (15m-1H): Balanced parameters Swing Trading (4H-1D): Long coherence, stable states Alert System Sophisticated alerts for: - Wave function collapse events - Decoherence transitions - High tunneling probability - Strong entanglement detection Originality & Innovation This indicator introduces several firsts: Quantum Superposition: First to model markets as quantum systems Wave Function Collapse: Original volume-triggered state commitment Tunneling Probability: Novel breakout prediction method Entanglement Metrics: Unique price-volume quantum correlation Probability Clouds: Revolutionary uncertainty visualization Development Journey Creating QSSI required: - Deep study of quantum mechanics principles - Translation of physics equations to market context - Extensive backtesting across multiple markets - UI/UX optimization for trader accessibility - Performance optimization for real-time calculation - The result bridges cutting-edge physics with practical trading. Best Practices Parameter Optimization Quantum States (2-5): - 2-3 for simple markets (forex majors) - 4-5 for complex markets (indices, crypto) Coherence Length (10-50): - Lower for fast markets - Higher for stable markets Observation Threshold (1.0-3.0): - Lower for active markets - Higher for thin markets Signal Confirmation Always confirm quantum signals with: - Market structure (support/resistance) - Volume patterns - Correlated assets - Fundamental context Risk Guidelines - Never risk more than 2% per trade - Respect probability cloud boundaries - Exit on decoherence shifts - Scale with confidence levels Educational Value QSSI teaches advanced concepts: - Quantum mechanics applications - Probability theory - Non-linear dynamics - Risk management - Market microstructure Perfect for traders seeking deeper market understanding. Disclaimer This indicator is for educational and research purposes only. While quantum mechanics provides a fascinating framework for market analysis, no indicator can predict future prices with certainty. The probabilistic nature of both quantum mechanics and markets means outcomes are inherently uncertain. Always use proper risk management, conduct thorough analysis, and never risk more than you can afford to lose. Past performance does not guarantee future results. Conclusion The Quantum State Superposition Indicator represents a revolutionary approach to market analysis, bringing institutional-grade quantum modeling to retail traders. By viewing markets through the lens of quantum mechanics, we gain unique insights into uncertainty, probability, and state transitions that classical indicators miss. Whether you're a physicist interested in finance or a trader seeking cutting-edge tools, QSSI opens new dimensions in market analysis. "The market, like Schrödinger's cat, exists in multiple states until observed through volume." * As you may have noticed, the past two indicators I've released (Lorentzian Classification and Quantum State Superposition) are designed with strategy implementation in mind. I'm currently developing a stable execution platform that's completely unique and moves away from traditional ATR-based position sizing and stop loss systems. I've found ATR-based approaches to be unreliable in volatile markets and regime transitions - they often lag behind actual market conditions and can lead to premature exits or oversized positions during volatility spikes. The goal is to create something that adapts to market conditions in real-time using the quantum and relativistic principles we've been exploring. Hopefully I'll have something groundbreaking to share soon. Stay tuned! Trade with quantum insight. Trade with QSSI . — Dskyz , for DAFE Trading Systems
Pine Script® インジケーター
DskyzInvestmentsの投稿
10
Macd, Wt Cross & HVPMacd Wt Cross & HVP – Advanced Multi-Signal Indicator This script is a custom-designed multi-signal indicator that brings together three proven concepts to provide a complete view of market momentum, reversals, and volatility build-ups. It is built for traders who want to anticipate key market moves, not just react to them. Why This Combination ? While each tool has its strengths, their combined use creates powerful signal confluence. Instead of juggling multiple indicators separately, this script synchronizes three key perspectives into a single, intuitive display—helping you trade with greater clarity and confidence. 1. MACD Histogram – Momentum and Trend Clarity At the core of the indicator is the MACD histogram, calculated as the difference between two exponential moving averages (EMAs). Color-coded bars represent momentum direction and intensity: Green / blue bars: bullish momentum Red / pink bars: bearish momentum Color intensity shows acceleration or weakening of trend. This visual makes it easy to detect trend shifts and momentum divergence at a glance. 2. WT Cross Signals – Early Reversal Detection Overlaid on the histogram are green and red dots, based on the logic of the WaveTrend oscillator cross: Green dots = potential bullish cross (buy signal) Red dots = potential bearish cross (sell signal) These signals are helpful for identifying reversal points during both trending and ranging phases. 3. Historical Volatility Percentile (HVP) – Volatility Compression Zones Behind the histogram, purple vertical zones highlight periods of low historical volatility, based on the HVP: When volatility compresses below a specific threshold, these zones appear. Such periods are often followed by explosive price moves, making them prime areas for pre-breakout positioning. By integrating HVP, the script doesn’t just tell you where the trend is—it tells you when the trend is likely to erupt. How to Use This Script Use the MACD histogram to confirm the dominant trend and its strength. Watch for WT Cross dots as potential entry/exit signals in alignment or divergence with the MACD. Monitor HVP purple zones as warnings of incoming volatility expansions—ideal moments to prepare for breakout trades. Best results occur when all three elements align, offering a high-probability trade setup. What Makes This Script Original? Unlike many mashups, this script was not created by simply merging indicators. Each component was carefully integrated to serve a specific, complementary purpose: MACD detects directional bias WT Cross adds precision timing HVP anticipates volatility-based breakout timing This results in a strategic tool for traders, useful on multiple timeframes and adaptable to different trading styles (trend-following, breakout, swing).
Pine Script® インジケーター
Nico_Crypto_の投稿
[blackcat] L2 Ehlers Autocorrelation Indicator V2OVERVIEW The Ehlers Autocorrelation Indicator is a technical analysis tool developed by John F. Ehlers that measures the correlation between price data and its lagged versions to identify potential market cycles and reversals. BACKGROUND Originally introduced in Ehlers' "Cycle Analytics for Traders" (2013), this indicator leverages autocorrelation principles to detect patterns in market data that deviate from random noise or perfect sine waves. FEATURES • Calculates Pearson correlation coefficients for lags from 0 to 60 bars • Visualizes correlations using colored bars ranging from red (negative correlation) to yellow (positive correlation) • Provides minimum averaging option through AvgLength input parameter • Displays sharp reversal signals at price turning points • Shows variations in bar thickness and count over time HOW TO USE Add the indicator to your chart Adjust the AvgLength input as needed: • Set to 0 for no averaging • Increase value for smoother results Interpret the colored bars: • Red: Negative correlation • Yellow: Positive correlation • Sharp transitions indicate potential reversal points LIMITATIONS • Requires sufficient historical data for accurate calculations • Performance may vary across different market conditions • Results depend on proper parameter settings NOTES • The indicator uses highpass filtering and super smoother filtering techniques • Color intensity varies based on correlation strength • Multiple lag periods are displayed simultaneously for comprehensive analysis THANKS This implementation is based on Ehlers' original work and has been adapted for TradingView's Pine Script platform.
Pine Script® インジケーター
blackcat1402の投稿
Squeeze Momentum Indicator Strategy [LazyBear + PineIndicators]The Squeeze Momentum Indicator Strategy (SQZMOM_LB Strategy) is an automated trading strategy based on the Squeeze Momentum Indicator developed by LazyBear, which itself is a modification of John Carter's "TTM Squeeze" concept from his book Mastering the Trade (Chapter 11). This strategy is designed to identify low-volatility phases in the market, which often precede explosive price movements, and to enter trades in the direction of the prevailing momentum. Concept & Indicator Breakdown The strategy employs a combination of Bollinger Bands (BB) and Keltner Channels (KC) to detect market squeezes: Squeeze Condition: When Bollinger Bands are inside the Keltner Channels (Black Crosses), volatility is low, signaling a potential upcoming price breakout. When Bollinger Bands move outside Keltner Channels (Gray Crosses), the squeeze is released, indicating an expansion in volatility. Momentum Calculation: A linear regression-based momentum value is used instead of traditional momentum indicators. The momentum histogram is color-coded to show strength and direction: Lime/Green: Increasing bullish momentum Red/Maroon: Increasing bearish momentum Signal Colors: Black: Market is in a squeeze (low volatility). Gray: Squeeze is released, and volatility is expanding. Blue: No squeeze condition is present. Strategy Logic The script uses historical volatility conditions and momentum trends to generate buy/sell signals and manage positions. 1. Entry Conditions Long Position (Buy) The squeeze just released (Gray Cross after Black Cross). The momentum value is increasing and positive. The momentum is at a local low compared to the past 100 bars. The price is above the 100-period EMA. The closing price is higher than the previous close. Short Position (Sell) The squeeze just released (Gray Cross after Black Cross). The momentum value is decreasing and negative. The momentum is at a local high compared to the past 100 bars. The price is below the 100-period EMA. The closing price is lower than the previous close. 2. Exit Conditions Long Exit: The momentum value starts decreasing (momentum lower than previous bar). Short Exit: The momentum value starts increasing (momentum higher than previous bar). Position Sizing Position size is dynamically adjusted based on 8% of strategy equity, divided by the current closing price, ensuring risk-adjusted trade sizes. How to Use This Strategy Apply on Suitable Markets: Best for stocks, indices, and forex pairs with momentum-driven price action. Works on multiple timeframes but is most effective on higher timeframes (1H, 4H, Daily). Confirm Entries with Additional Indicators: The author recommends ADX or WaveTrend to refine entries and avoid false signals. Risk Management: Since the strategy dynamically sizes positions, it's advised to use stop-losses or risk-based exits to avoid excessive drawdowns. Final Thoughts The Squeeze Momentum Indicator Strategy provides a systematic approach to trading volatility expansions, leveraging the classic TTM Squeeze principles with a unique linear regression-based momentum calculation. Originally inspired by John Carter’s method, LazyBear's version and this strategy offer a refined, adaptable tool for traders looking to capitalize on market momentum shifts.
Pine Script® ストラテジー
PineIndicatorsの投稿
2
Sigma 2.0 - Advanced Buy and Sell Signal IndicatorOverview: Sigma 2.0 is a sophisticated trading indicator designed to help traders identify potential buy and sell opportunities across various financial markets. By leveraging advanced mathematical calculations and incorporating multiple analytical tools, Sigma 2.0 aims to enhance trading strategies by providing precise entry and exit signals. Key Features: Advanced Sigma Calculations: Utilizes a combination of Exponential Moving Averages (EMAs) and price deviations to calculate the Sigma lines (sigma1 and sigma2). Detects potential trend reversals through the crossover of these Sigma lines. Customizable Signal Filtering: Offers the ability to filter buy and sell signals based on user-defined thresholds. Helps reduce false signals in volatile markets by setting overbought and oversold levels. Overbought and Oversold Detection: Identifies extreme market conditions where price reversals are more likely. Changes the background color of the chart to visually indicate overbought or oversold states. Integration of Exponential Moving Averages (EMAs): Includes EMAs of different lengths (10, 21, 55, 200) to assist in identifying market trends. EMAs act as dynamic support and resistance levels. Higher Timeframe Signal Incorporation: Allows users to include signals from a higher timeframe to align trades with the broader market trend. Enhances the reliability of signals by considering multiple timeframes. Custom Alerts: Provides alert conditions for both buy and sell signals. Enables traders to receive notifications, ensuring timely decision-making. How It Works: Sigma Calculation Methodology: The indicator calculates an average price (ap) and applies EMAs to derive the Sigma lines. sigma1 represents the smoothed price deviation, while sigma2 is a moving average of sigma1. A crossover of sigma1 above sigma2 generates a buy signal, indicating potential upward momentum. Conversely, a crossover of sigma1 below sigma2 generates a sell signal. Signal Filtering and Thresholds: Users can enable filtering to only consider signals when sigma1 is below or above certain thresholds. This helps in focusing on more significant market movements and reducing noise. Overbought/Oversold Levels: The indicator monitors sigma1 to detect when the market is in extreme conditions. Background color changes provide a quick visual cue for these conditions. EMA Analysis: The plotted EMAs help in confirming the trend direction. They can be used alongside Sigma signals to validate trade entries and exits. Higher Timeframe Signals: Incorporates signals from a user-selected higher timeframe. Helps in aligning trades with the overall market trend, increasing the potential success rate. How to Use: Adding the Indicator to Your Chart: Search for "Sigma 2.0" in the TradingView Indicators menu and add it to your chart. Configuring the Settings: Adjust the Sigma configurations (Channel Length, Average Length, Signal Line Length) to suit your trading style. Set the overbought and oversold levels according to your risk tolerance. Choose whether to filter signals by thresholds. Select the higher timeframe for additional signal confirmation. Interpreting the Signals: Buy Signals: Indicated by a green triangle below the price bar. Occur when sigma1 crosses above sigma2 and other conditions are met. Sell Signals: Indicated by a red triangle above the price bar. Occur when sigma1 crosses below sigma2 and other conditions are met. Higher Timeframe Signals: Plotted with lime (buy) and maroon (sell) triangles. Help confirm signals in the current timeframe. Utilizing EMAs: Observe the EMAs to gauge the overall trend. Consider aligning buy signals when the price is above key EMAs and sell signals when below. Setting Up Alerts: Use the built-in alert conditions to receive notifications for buy and sell signals. Customize alert messages as needed. Credits: Original Concept Inspiration: This indicator is inspired by the WaveTrend oscillator and other momentum-based indicators. Special thanks to the original authors whose work laid the foundation for this enhanced version. Disclaimer: Trading involves significant risk, and past performance is not indicative of future results. This indicator is a tool to assist in analysis and should not be the sole basis for any trading decision. Always perform thorough analysis and consider multiple factors before entering a trade. Note: Ensure your chart is clean and only includes this indicator when publishing. The script is open-source and can be modified to fit individual trading strategies. For any questions or support, feel free to reach out or comment.
Pine Script® インジケーター
Sigma_cfの投稿
1