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Indicators and strategies

Moving Average ExponentialThe EMA 50 Trend Filter At the heart of the Sniper system lies the 50-period Exponential Moving Average. Unlike simple moving averages, the EMA applies a weighting factor to recent price data, significantly reducing lag. Role in Strategy: Trend Identification: Serves as the binary divider between Long and Short bias. Dynamic Structure: Acts as dynamic support in uptrends and resistance in downtrends. Signal Filtering: The algorithm automatically suppresses any 'Buy' signals below the line and 'Sell' signals above it, ensuring you never trade against the institutional momentum.
Pine Script® indicator
by GiladKatz
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line). How it works: - When a candle closes above the upper channel line, the following candles turn green (bullish trend) - When a candle closes below the lower channel line, the following candles turn red (bearish trend) - The trend color remains until a breakout in the opposite direction occurs Anti-repaint: This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes. Breakout strategy: - Candle opens green → Long entry signal - Candle opens red → Short entry signal The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
Pine Script® indicator
by Pedro_Romao
Top 20 Adaptive Momentum [Trend Aligned]his script is an automated End-of-Day Momentum Dashboard designed to predict the next trading day's directional bias for the top 20 most volatile stocks. It analyzes institutional price action during the final 10 minutes of the trading session and filters signals based on the long-term trend. How It Works Trend Identification: The script calculates a 50-Day Moving Average proxy (using 5-minute data) to determine if a stock is in a Long-Term Uptrend or Downtrend. Adaptive Signal Logic: Instead of a simple reversal strategy, the script adapts its prediction based on the trend context: Trend Following: If a stock closes strong (Green) in an Uptrend, it signals Bullish Momentum (continuation). Mean Reversion: If a stock closes strong (Green) in a Downtrend, it signals Bearish Reversion (fade the bounce). Dip Buying: If a stock closes weak (Red) in an Uptrend, it signals Bullish Reversion (buy the dip). Live Backtesting: The dashboard features a "Win Rate (3M)" column. This metric backtests the strategy over the past 3 months for each specific ticker, calculating the percentage of time the predicted bias resulted in a winning trade the following day. Dashboard Columns Ticker: The stock symbol. Prev Day: The overall close vs. open of the previous session. Trend (50d): The long-term trend direction (UP or DOWN). BIAS TODAY: The actionable signal for the current session (📈 BULLISH or 📉 BEARISH). Win Rate: The historical probability of success for this strategy on this specific stock. Usage: Use this tool pre-market to identify high-probability setups where the previous day's closing momentum aligns with the long-term trend. To effectively use the Top 20 Adaptive Momentum script, you need to treat it as a Pre-Market Screener. It performs the heavy lifting of analyzing trend, momentum, and historical probability instantly, giving you a "Cheat Sheet" for the trading day. Here is a step-by-step guide on how to integrate it into your routine: 1. The Setup Timeframe: Set your chart to 5 Minutes. The logic specifically hunts for the 15:50 (3:50 PM) and 15:55 (3:55 PM) candles, so the calculation works best on this timeframe. Timing: Check this dashboard before the market opens (e.g., 9:00 AM EST) or shortly after the close (4:05 PM EST) to plan for the next session. 2. Reading the Dashboard Columns Column What to Look For Actionable Insight Trend (50d) UP (Green) or DOWN (Red) This tells you the "Big Picture." Only trade in this direction. If Trend is UP, you only want to see Bullish signals. If Trend is DOWN, you only want Bearish signals. BIAS TODAY 📈 BULLISH Plan: Look for Long/Buy setups at the open. The algorithm predicts price will close higher today. 📉 BEARISH Plan: Look for Short/Sell setups at the open. The algorithm predicts price will close lower. Win Rate (3M) Percentage (e.g., 65%) Confidence Filter. Only take trades on stocks with a Win Rate above 55-60%. This proves the stock historically respects this specific strategy. 3. The Strategy Scenarios (How to Trade) Scenario A: The "Trend Continuation" (High Probability) Dashboard: Trend is UP + Bias is BULLISH. Context: The stock is strong long-term, and it closed strong yesterday (Momentum). Execution: Watch for an opening gap up or an early breakout above the pre-market high. Go Long. Scenario B: The "Dip Buy" (High Probability) Dashboard: Trend is UP + Bias is BULLISH. Context: The stock is strong long-term, but it pulled back yesterday (Weak Close). The script identifies this as a discount, not a reversal. Execution: Watch for the stock to find support early. Use the "Master Sniper" (from your other script) to find a Discount Entry FVG. Scenario C: The "Trap" (Avoid) Dashboard: Win Rate is < 50%. Context: The stock is choppy or news-driven. It does not follow technical momentum rules reliably. Execution: Skip this stock. Move to the next one on the list. 4. Execution Workflow Scan: Glance at the dashboard. Identify the 2-3 stocks with Green Bias + Green Trend (for Buys) or Red Bias + Red Trend (for Shorts). Filter: Ensure their "Win Rate" is decent (over 55%). Trade: Open the charts for those specific stocks. Use your execution indicators (like the Master Sniper) to time the entry on the 1-minute or 5-minute chart. By using this dashboard, you stop guessing which stock to trade and focus entirely on executing the best setups.
Pine Script® indicator
by panchamsh95353
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® indicator
by The_lurker
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® indicator
by EdgeTools
BB Breakout-Momentum + Reversion Strategies# BB Breakout-Momentum + Reversion Strategies ## Overview This indicator combines two complementary Bollinger Band trading strategies that automatically adapt to market conditions. Strategy 1 capitalizes on trending markets with breakout-pullback-momentum setups, while Strategy 2 exploits mean reversion in ranging markets. Advanced filtering using ADX and BB Width ensures each strategy only fires in its optimal market environment. --- ## Strategy 1: Breakout → Pullback → Renewed Momentum (Long B / Short B) ### Best Market Conditions - **Trending Markets**: ADX ≥ 25 - **High Volatility**: BB Width ≥ 1.0× average - Directional price action with sustained momentum ### Entry Logic **Long B (Bullish Breakout):** 1. **Initial Breakout**: Price breaks above upper Bollinger Band with strong momentum 2. **Controlled Pullback**: Price pulls back 1-12 bars but holds above lower band (stays in trend) 3. **Defended Zone**: Pullback creates a support zone based on swing lows (validated by multiple touches) 4. **Renewed Momentum**: Price reclaims with green candle, volume confirmation, bullish MACD 5. **Position Check**: Entry must have cushion below upper band and room to reach targets **Short B (Bearish Breakdown):** - Mirror logic for downtrends: breakdown below lower band, pullback stays below upper band, renewed selling pressure ### Risk Management - **Stop Loss**: Lower of (zone floor/previous low) OR (1.5 × ATR from entry) - **Targets**: - T1: Entry + 0.85R (0.85 × 1.5 ATR) - T2: Entry + 1.40R (1.40 × 1.5 ATR) - T3: Entry + 2.50R (2.50 × 1.5 ATR) - T4: Entry + 4.50R (4.50 × 1.5 ATR) - Risk is calculated using ATR (ATRX = 1.5 ATR), stop uses tighter of structural level (ATRL) or ATRX --- ## Strategy 2: Bollinger Band Mean Reversion (Long R / Short R) ### Best Market Conditions - **Ranging Markets**: ADX ≤ 20 - **Low Volatility**: BB Width ≤ 0.8× average - Price oscillating around the mean without sustained trend ### Entry Logic **Long R (Long Reversion):** 1. **Overextension**: Price breaks below lower Bollinger Band (2 consecutive closes) 2. **Snap Back**: Price crosses back above lower band (re-enters the range) 3. **Entry Window**: Within 2 candles of re-entry, look for: - **Green candle** (close > open) confirming bullish strength - Close above previous candle (close > close ) 4. **Trigger**: First qualifying candle within 2-bar window executes the trade **Short R (Short Reversion):** 1. **Overextension**: Price breaks above upper Bollinger Band (2 consecutive closes) 2. **Snap Back**: Price crosses back below upper band (re-enters the range) 3. **Entry Window**: Within 2 candles of re-entry, look for: - **Red candle** (close < open) confirming bearish pressure - Close below previous candle (close < close ) 4. **Trigger**: First qualifying candle within 2-bar window executes the trade ### Risk Management - **Stop Loss**: Lower of (previous high/low) OR (1.5 × ATR from entry) - **Targets**: Same as Strategy 1 (0.85R, 1.4R, 2.5R, 4.5R based on 1.5 ATR) - Betting on return to Bollinger Band basis (mean) --- ## Advanced Filtering System ### ADX Filter (Average Directional Index) - **Purpose**: Measures trend strength vs choppy/ranging conditions - **Trending**: ADX ≥ 25 → Enables Strategy 1 (Breakout) - **Ranging**: ADX ≤ 20 → Enables Strategy 2 (Reversion) - **Neutral**: ADX 20-25 → No signals (indecisive market) ### BB Width Filter - **Purpose**: Confirms volatility expansion/contraction - **Wide Bands**: Current width ≥ 1.0× 50-bar average → Trending environment - **Narrow Bands**: Current width ≤ 0.8× 50-bar average → Ranging environment - **Logic**: Both ADX and BB Width must agree on market state before signaling ### Combined Logic - **Strategy 1 fires**: When BOTH ADX shows trending AND bands are wide - **Strategy 2 fires**: When BOTH ADX shows ranging AND bands are narrow - **Visual Display**: Table at bottom-right shows ADX value, BB Width ratio, and current market state --- ## Visual Elements ### Bollinger Bands - **Gray line**: 20-period SMA (basis/mean) - **Green line**: Upper band (basis + 2 standard deviations) - **Red line**: Lower band (basis - 2 standard deviations) ### Strategy 1 Markers - **Long B**: Green triangle below bar with "Long B" text - **Short B**: Orange triangle above bar with "Short B" text - **Defended Zones**: Green/red boxes showing pullback support/resistance areas - **Targets**: Green/orange crosses showing T1-T4 and stop loss levels ### Strategy 2 Markers - **Long R**: Blue label below bar with "Long R" text - **Short R**: Purple label above bar with "Short R" text - **Trade Levels**: Horizontal lines extending 50 bars forward - Blue solid = Entry price - Red dashed = Stop loss - Green/Orange dotted = Targets (T1-T4) ### Market State Table - **ADX**: Current value with color coding (green=trending, orange=ranging, gray=neutral) - **BB Width**: Ratio vs 50-bar average (e.g., "1.15x" = 15% wider than average) - **State**: TREND / RANGE / NEUTRAL classification --- ## Settings & Customization ### Bollinger Bands - **BB Length**: 20 (default) - period for moving average - **BB Std Dev**: 2.0 (default) - standard deviation multiplier ### ATR & Risk - **ATR Length**: 14 (default) - period for Average True Range calculation - All stop losses and targets are derived from 1.5 × ATR ### Trend/Range Filters - **ADX Length**: 14 (default) - **ADX Trending Threshold**: 25 (higher = stronger trend required) - **ADX Ranging Threshold**: 20 (lower = tighter ranging condition) - **BB Width Average Length**: 50 (period for comparing current width) - **BB Width Trend Multiplier**: 1.0 (width must be ≥ this × average) - **BB Width Range Multiplier**: 0.8 (width must be ≤ this × average) - **Use ADX Filter**: Toggle on/off - **Use BB Width Filter**: Toggle on/off ### Strategy 1 (Breakout-Momentum) - **Breakout Lookback**: 15 bars (how far back to search for initial breakout) - **Min Pullback Bars**: 1 (minimum consolidation period) - **Max Pullback Bars**: 12 (maximum consolidation period) - **Show Defended Zone**: Display support/resistance boxes - **Show Signals**: Display Long B / Short B markers - **Show Targets**: Display stop loss and target levels ### Strategy 2 (Reversion) - **Show Signals**: Display Long R / Short R markers - **Show Trade Levels**: Display entry, stop, and target lines --- ## How to Use This Indicator ### Step 1: Identify Market State - Check the table in bottom-right corner - **TREND**: Look for Strategy 1 signals (Long B / Short B) - **RANGE**: Look for Strategy 2 signals (Long R / Short R) - **NEUTRAL**: Wait for clearer conditions ### Step 2: Wait for Signal - Signals only fire when ALL conditions are met (structural + momentum + filters + room-to-target) - Signals are relatively rare but high-probability ### Step 3: Execute Trade - **Entry**: Close of signal candle - **Stop Loss**: Shown as red cross (Strategy 1) or red dashed line (Strategy 2) - **Targets**: Scale out at T1, T2, T3, T4 or hold for maximum R:R ### Step 4: Management - Consider moving stop to breakeven after T1 - Trail stop using swing lows/highs in Strategy 1 - Exit full position at T2-T3 in Strategy 2 (mean reversion has limited upside) --- ## Key Principles ### Why This Works 1. **Market Adaptation**: Uses right strategy for right conditions (trend vs range) 2. **Confluence**: Multiple confirmations required (structure + momentum + volatility + room) 3. **Risk-Defined**: Every trade has pre-calculated stop and targets based on ATR 4. **Probability**: Filters reduce noise and increase win rate by waiting for ideal setups ### Common Pitfalls to Avoid - ❌ Taking signals in NEUTRAL market state (indicators disagree) - ❌ Overriding the stop loss (it's calculated for a reason) - ❌ Expecting signals on every swing (quality over quantity) - ❌ Using Strategy 1 in ranging markets or Strategy 2 in trending markets - ❌ Ignoring the room-to-target check (signal won't fire if targets are blocked) ### Complementary Analysis This indicator works best when combined with: - Higher timeframe trend analysis - Key support/resistance levels - Volume analysis - Market structure (swing highs/lows) - Risk management rules (position sizing, max daily loss, etc.) --- ## Technical Details ### Indicators Used - **Bollinger Bands**: 20-period SMA ± 2 standard deviations - **ATR**: 14-period Average True Range for volatility measurement - **ADX**: 14-period Average Directional Index for trend strength - **EMA**: 10 and 20-period exponential moving averages (Strategy 1 filter) - **MACD**: 12/26/9 settings (Strategy 1 momentum confirmation) - **Volume**: Compared to 15-bar average (Strategy 1 confirmation) ### Calculation Methodology - **ATRL** (Structural Risk): Previous swing high/low or defended zone boundary - **ATRX** (ATR Risk): 1.5 × 14-period ATR from entry price - **Stop Loss**: Minimum of ATRL and ATRX (tightest protection) - **Targets**: Always calculated from ATRX (consistent R-multiples) - **BB Width Ratio**: Current BB width ÷ 50-period SMA of BB width --- ## Performance Notes ### Strengths - Adapts to changing market conditions automatically - Clear, objective entry and exit criteria - Pre-defined risk on every trade - Filters reduce false signals significantly - Works across multiple timeframes and instruments ### Limitations - Signals are infrequent (by design - quality over quantity) - Requires patience to wait for all conditions to align - May miss explosive moves if pullback doesn't form properly (Strategy 1) - Ranging markets can transition to trending (Strategy 2 risk) - Filters may delay entry in fast-moving markets ### Best Timeframes - **Strategy 1**: 1H, 4H, Daily (needs time for proper pullback structure) - **Strategy 2**: 15M, 30M, 1H (mean reversion works best intraday) - Both strategies can work on any timeframe if market conditions are right ### Best Instruments - **Liquid markets**: Major stocks, indices, forex pairs, liquid crypto - **Sufficient volatility**: ATR should be meaningful relative to price - **Clear trend/range cycles**: Markets that respect technical levels --- ## IMPORTANT DISCLAIMER ### Risk Warning **TRADING INVOLVES SUBSTANTIAL RISK OF LOSS AND IS NOT SUITABLE FOR ALL INVESTORS.** This indicator is provided for **educational and informational purposes only**. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. You should not treat any of the indicator's content as such. ### No Guarantee of Profit Past performance is not indicative of future results. No trading strategy, including this indicator, can guarantee profits or protect against losses. The market is inherently unpredictable and all trading involves risk. ### User Responsibility - **Do Your Own Research**: Always conduct your own analysis before making trading decisions - **Test First**: Backtest and paper trade this strategy before risking real capital - **Risk Management**: Never risk more than you can afford to lose - **Position Sizing**: Use appropriate position sizes relative to your account - **Stop Losses**: Always use stop losses and respect them - **Market Conditions**: Understand that market conditions change and past behavior may not repeat ### No Liability The creator of this indicator accepts no liability for any financial losses incurred through the use of this tool. All trading decisions are made at your own risk. You are solely responsible for evaluating the merits and risks associated with the use of any trading systems, signals, or content provided. ### Not Financial Advice This indicator does not take into account your personal financial situation, investment objectives, risk tolerance, or specific needs. You should consult with a licensed financial advisor before making any investment decisions. ### Technical Limitations - Indicators can repaint or lag in real-time - Past signals may look different than real-time signals - Code bugs or errors may exist despite testing - TradingView platform limitations may affect functionality ### Market Risks - Markets can gap, causing stops to be executed at worse prices - Slippage and commissions can significantly impact results - High volatility can cause unexpected losses - Counterparty risk exists in all leveraged products --- ## Version History - **v1.0**: Initial release combining breakout-momentum and mean reversion strategies - Includes ADX and BB Width filtering - ATRL/ATRX risk calculation system - 2-candle entry window for reversion trades --- ## Credits & License This indicator combines concepts from classical technical analysis including Bollinger Bands (John Bollinger), ATR (Welles Wilder), and ADX (Welles Wilder). The specific implementation and combination of filters is original work. **Use at your own risk. Trade responsibly.** --- *For questions, suggestions, or to report bugs, please comment below or contact the author.* **Remember: The best indicator is the one between your ears. Use this tool as part of a comprehensive trading plan, not as a standalone solution.**
Pine Script® indicator
by novaroma1
Advanced Breakout SystemAdvanced Breakout System Developed by: Mohammed Bedaiwi This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure. The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength. 🔑 Color Legend (Visual Guide) 🟡 WATCH – Setup (Yellow Arrow Down) : Potential breakout setup detected. Monitor the stock and do not enter yet. Triggered when price breaks out of a recent consolidation with strong volume or makes a big momentum move (e.g. >5%) in a single bar. 🟢 BUY – Confirmation (Green Arrow Up) : Confirmed breakout. Consider entering a long position according to your own rules. Triggered when price trades above the high of the WATCH candle. 🟠 SELL – Break (Orange Arrow) : Short-term trend weakness. Triggered when price closes below the Fast EMA (9). Used as a protective exit or partial profit-taking. 🔴 SELL – Dump (Dark Red Arrow) : Distribution / volume dump. Triggered by a bearish candle with abnormally high volume compared to the average (e.g. ≥ Dump Volume Multiplier × average volume). 🟣 SELL – Pattern (Purple Arrow) : Bearish price-action pattern (such as a bearish engulfing). Indicates a possible top or reversal. 🔴/🟢 Support & Resistance Lines : Small horizontal lines plotted at key swing points. Red Line: Resistance (Swing High). Green Line: Support (Swing Low). Both include exact price labels for quick reference. ⚙️ Inputs Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size; higher values make the script more sensitive. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal if price jumps more than a set % (e.g. 5%) even without consolidation/OBV confirmation. Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume (e.g. 2× average). Support & Resistance: Adjustable Pivot Left/Right bars allow you to control the sensitivity of the support and resistance lines. ⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management.
Pine Script® strategy
by mbedaiwi2
RVOL + Volume Z-Score (Textbook)This indicator is a relative-volume and “volume anomaly” dashboard designed to help you quickly spot when a ticker is actually in-play versus simply drifting on normal activity. It plots standard volume bars (colored by up/down candles) and overlays multiple optional smoothers of volume (SMA, LSMA/linear-regression MA, HMA, ALMA) so you can see whether participation is expanding or fading across different smoothing styles. It also calculates RVOL (current bar volume divided by the average volume over a user-defined lookback) and displays RVOL (and Z) in a small table for quick reference. The core feature is a textbook volume z-score: Z=(V−SMA(V,N))/StDev(V,N) This measures how far the current bar’s volume is from its recent average in standard-deviation units, making it easy to filter for genuinely unusual volume. The script plots mean + 1σ and mean + 2σ threshold bands and can highlight “anomaly” volume bars when Z exceeds your chosen σ thresholds (default 1σ for broader detection, with alerts available for 1σ/2σ). Use it as a participation filter: combine high RVOL / high Z with your price structure (key levels, VWAP, trend) to validate breakouts or identify high-conviction reversal/flush events.
Pine Script® indicator
by sv_nikolov
Unchased Wick Detector and ReversalsThis indicator can be used to track unchased wick from previous pivot points. The idea is to visualise liquidity cluster and grab before a potential reversal. Unchased wick Visual: - White lines are protected highs or lows. - Gray lines are previous wicks where prices have passed through and where the prices did not reverse. Reversal window: Reversal window parameters define a period range (a min and a max bars) where the reversal is valid. The idea is that the reversal must be done in the couple bars right after the wick is chased (this event should stay short in time but you can adjust the period as you wish). By default the default, the window 1-5 bars (e.g., daily, during 1-5 days). Green color indicates a grab from a low and a reversal to the upside. Red color indicates a grab from a high and a reversal to the downside. Disclamer: Of course this indicator can lead to false reversal signals and must be combined with other data and must be careful to use it alone for opening any position. This indicator is a Alpha version let me know if any problem.
Pine Script® indicator
by Wised123
Trend Strength Meter [Eˣ]📊 Trend Strength Meter - Free Indicator Overview The Trend Strength Meter quantifies market momentum with a simple 0-100 score. No more guessing if a trend is strong or weak - this indicator gives you an objective, numerical measurement of trend strength that combines trend direction, momentum, volatility, and moving average alignment into one clear reading. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 What This Indicator Does Quantifies Trend Strength: • Measures trend on a scale from -100 (extreme bearish) to +100 (extreme bullish) • Combines 4 key components: Trend Direction, Momentum, Volatility, MA Alignment • Provides objective measurement instead of subjective interpretation • Works on all timeframes and instruments Visual Display: • Green Histogram Bars = Bullish strength (0 to +100) • Red Histogram Bars = Bearish strength (0 to -100) • Smooth Overlay Line = Trend direction (filters noise) • Triangle Markers = Trend reversals (zero-line crosses) • Background Zones = Visual strength categories Multi-Timeframe Analysis: • See strength readings from 3 timeframes simultaneously • Identify when trends align across multiple timeframes • "ALIGNED" indicator shows when all timeframes agree • Spot divergences between timeframes Clean & Professional: • Minimal clutter, maximum clarity • Compact info panel in top-right corner • No overwhelming indicators or text • Easy to read at a glance ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Understanding The Strength Scale Bullish Readings (0 to +100) +75 to +100 - VERY STRONG BULL • Extremely powerful uptrend • All components aligned bullishly • Best time for aggressive long positions • Trend likely to continue • Strategy: Hold longs, avoid shorts +50 to +75 - STRONG BULL • Strong uptrend with good momentum • High probability of continuation • Quality long setups • Pullbacks are buying opportunities • Strategy: Enter longs on dips +25 to +50 - BULL • Moderate bullish trend • Decent upward momentum • Trend following longs work • Watch for weakening signals • Strategy: Ride the trend, trail stops +10 to +25 - WEAK BULL • Weak bullish bias • Trend may be exhausting • Lower probability setups • Consider taking profits • Strategy: Caution, reduce position sizes -10 to +10 - NEUTRAL • No clear trend • Choppy, range-bound market • Conflicting signals • Low probability for trend trades • Strategy: Stay flat or trade ranges Bearish Readings (0 to -100) -10 to -25 - WEAK BEAR • Weak bearish bias • Trend may be exhausting • Lower probability setups • Consider taking profits on shorts • Strategy: Caution, reduce position sizes -25 to -50 - BEAR • Moderate bearish trend • Decent downward momentum • Trend following shorts work • Watch for weakening signals • Strategy: Ride the trend down, trail stops -50 to -75 - STRONG BEAR • Strong downtrend with momentum • High probability of continuation • Quality short setups • Bounces are selling opportunities • Strategy: Enter shorts on rallies -75 to -100 - VERY STRONG BEAR • Extremely powerful downtrend • All components aligned bearishly • Best time for aggressive short positions • Trend likely to continue • Strategy: Hold shorts, avoid longs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 How To Use This Indicator Basic Usage 1. Check Current Strength • Look at the histogram height and color • Read the exact number in the info panel • Note the status label (STRONG BULL, WEAK BEAR, etc.) • Higher absolute value = stronger trend 2. Watch For Reversals • Triangle markers appear when strength crosses zero • 🟢 Green triangle up = Bullish reversal signal • 🔴 Red triangle down = Bearish reversal signal • These mark potential trend changes 3. Monitor Multi-Timeframe Alignment • Check if all timeframes show same direction • "✓ ALIGNED" = All timeframes agree (high confidence) • "✗ Mixed" = Timeframes disagree (lower confidence) • Aligned trends have higher probability 4. Observe Strength Changes • Rising strength = Trend strengthening • Falling strength = Trend weakening • Strength near extremes (+75/-75) = Potential exhaustion • Strength near zero = Indecision/consolidation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Trading Strategies Strategy 1: Trend Following Best For: Capturing major moves Timeframes: 1H, 4H, Daily Rules: 1. Wait for strength to reach +50 or higher (or -50 or lower) 2. Check MTF alignment - all timeframes should agree 3. Enter on pullbacks in the direction of strength 4. Hold position while strength remains above +25 (or below -25) 5. Exit when strength crosses back to weak zone or reverses Example - Long Setup: • Strength crosses above +50 = Strong bull trend • All MTF readings positive and aligned • Wait for minor pullback to support • Enter long with stop below recent swing low • Hold while strength stays above +25 • Exit if strength drops below +10 or reverses to negative Strategy 2: Reversal Trading Best For: Catching trend changes early Timeframes: 15min, 1H, 4H Rules: 1. Watch for strength to reach extreme levels (+75 or -75) 2. Look for divergence (price new high/low but strength declining) 3. Wait for zero-line cross (triangle marker appears) 4. Enter in direction of new trend 5. Use tight stops since you're catching early Example - Bullish Reversal: • Strength at -80 (very strong bear) • Price makes new low but strength only at -70 = Divergence • Green triangle appears = Zero-line cross • Enter long on confirmation • Stop below recent swing low • Target: Strength reaching +50 Strategy 3: Avoid Bad Trades Best For: Improving win rate Timeframes: All Rules: • DON'T trade when strength is between -10 and +10 (neutral zone) • DON'T go long when strength is negative • DON'T go short when strength is positive • DON'T trade against MTF alignment • DO wait for clear strength readings Why It Works: Most losses come from trading in choppy markets or against the trend Strategy 4: Position Sizing Based On Strength Best For: Risk management Timeframes: All Rules: • Strength +75 to +100 or -75 to -100 = Full position size (2-3% risk) • Strength +50 to +75 or -50 to -75 = Normal position (1.5-2% risk) • Strength +25 to +50 or -25 to -50 = Reduced position (1% risk) • Strength -10 to +10 = No trades or minimal size (0.5% risk) Why It Works: Bigger positions in stronger trends, smaller in weak trends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Settings Explained Multi-Timeframe Analysis • Toggle ON/OFF the MTF readings in the info panel • Turn OFF for cleaner display if you only trade one timeframe Timeframe 1, 2, 3 (Default: 15min, 1H, 4H) • Choose which timeframes to analyze • For day trading: Use 5min, 15min, 1H • For swing trading: Use 1H, 4H, Daily • For position trading: Use 4H, Daily, Weekly • Higher timeframes show bigger picture trends MA Length (Default: 20) • Moving average period for trend direction component • Lower values (10-15): More responsive, more signals • Higher values (25-50): Smoother, fewer signals • Recommended: 20 for most styles ATR Length (Default: 14) • Period for measuring volatility • Standard setting works well for most markets • Recommended: Keep at 14 RSI Length (Default: 14) • Period for momentum measurement • Standard setting works well for most markets • Recommended: Keep at 14 Show Trend Labels on Chart • Toggle ON to display "BULL" / "BEAR" text at reversals • Keep OFF for cleaner chart (default) • Useful when backtesting to see historical signals Show Reversal Signals • Toggle triangle markers at zero-line crosses • Keep ON to catch trend changes • Turn OFF if you only care about current strength ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 How The Calculation Works The indicator measures 4 components, each worth 25 points (total = 100): 1. Trend Direction (25 points) • Compares price to moving average • Checks if MA is rising or falling • Perfect score: Price above rising MA • Minimum score: Price below falling MA 2. Momentum (25 points) • Uses RSI to measure momentum strength • RSI > 70 = Maximum bullish points • RSI < 30 = Maximum bearish points • RSI near 50 = Neutral points 3. Volatility Alignment (25 points) • Checks if price moves align with volatility • Strong moves in trending direction = High score • Weak moves or counter-trend = Low score • Uses ATR to measure volatility 4. Moving Average Alignment (25 points) • Checks EMA 8, 21, and 55 positioning • Perfect bullish: 8 > 21 > 55 above price • Perfect bearish: 8 < 21 < 55 below price • Misaligned = Reduced score Final Score = Sum of all 4 components (-100 to +100) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Info Panel Guide Current • Shows exact strength number for current timeframe • Color-coded background (green = bullish, red = bearish) • Larger number for quick visibility Status • Text description of current trend state • Examples: "STRONG BULL", "WEAK BEAR", "NEUTRAL" • Quick interpretation without looking at number Timeframe Readings • Shows strength for each selected timeframe • Color-coded for quick reading • Compare to spot divergences MTF Alignment • ✓ ALIGNED = All timeframes show same direction (high confidence) • ✗ Mixed = Timeframes disagree (proceed with caution) • Most reliable trades happen when aligned ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Alert Setup This indicator includes 4 alert types: 1. Bullish Reversal • Triggers when strength crosses from negative to positive • Potential trend change from bearish to bullish • Early warning of new uptrend 2. Bearish Reversal • Triggers when strength crosses from positive to negative • Potential trend change from bullish to bearish • Early warning of new downtrend 3. Very Strong Bull • Triggers when strength reaches +75 or higher • Extreme bullish conditions • Aggressive long opportunity 4. Very Strong Bear • Triggers when strength reaches -75 or lower • Extreme bearish conditions • Aggressive short opportunity To Set Up Alerts: 1. Click "Alert" button (clock icon) 2. Select "Trend Strength Meter" 3. Choose your alert type 4. Configure notifications 5. Click "Create" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 Pro Tips & Best Practices ✅ DO: • Trust the extremes - Readings above +75 or below -75 are highly reliable • Wait for alignment - Best trades happen when MTF shows "ALIGNED" • Use with price action - Combine with support/resistance for entries • Respect the neutral zone - Avoid trading when strength is -10 to +10 • Scale position size - Bigger positions in stronger trends • Watch for divergence - Price new high but strength declining = Warning • Follow the trend - Don't fight strong readings (±50 or more) ⚠️ DON'T: • Don't trade neutral readings - Wait for clear strength above ±25 • Don't fade extremes - Very strong trends (+75/-75) can stay extreme • Don't ignore MTF - Mixed timeframes = Lower probability • Don't overtrade - Wait for quality setups with good strength • Don't use alone - Combine with support/resistance and risk management • Don't expect perfection - Even strong trends can reverse suddenly 🎯 Best Timeframes: • Scalping: 1min, 5min (fast readings, quick changes) • Day Trading: 5min, 15min, 1H (balanced view) • Swing Trading: 1H, 4H, Daily (stable trends) • Position Trading: 4H, Daily, Weekly (major trends) 🔥 Best Markets: • Trending markets (crypto, indices, commodities) • High liquidity instruments (BTC, ES, NQ, EUR/USD) • Avoid on low-volume stocks or exotic pairs ⏰ Works Best When: • Market has clear direction • Good volatility (not too choppy, not too quiet) • Multiple timeframes aligned • Away from major news events ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 What Makes This Different? Unlike subjective trend analysis, the Trend Strength Meter: • Objective Measurement - No guessing, exact numerical score • Multi-Component - Combines 4 factors, not just one indicator • Multi-Timeframe - See alignment across timeframes instantly • Clean Visual - Professional display, easy to interpret • Actionable - Clear signals for entries, exits, and position sizing • Universal - Works on all timeframes and instruments • Proven Components - Based on trend, momentum, volatility, MA alignment Perfect For: • Trend followers who want confirmation • Swing traders seeking high-probability setups • Risk managers wanting to size positions properly • Anyone tired of subjective "is this trend strong?" questions ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Common Patterns To Watch Pattern 1: The Steady Climb • Strength gradually rises from +25 to +50 to +75 • Indicates building momentum • Trade: Hold longs, add on pullbacks Pattern 2: The Quick Spike • Strength jumps from 0 to +75 in few bars • Indicates explosive momentum • Trade: Enter quickly, but expect pullback Pattern 3: The Exhaustion • Strength at +80, price new high, strength drops to +70 • Bearish divergence forming • Trade: Take profits, prepare for reversal Pattern 4: The Whipsaw • Strength oscillates between +10 and -10 • Choppy, range-bound market • Trade: Stay flat, wait for breakout Pattern 5: The False Breakout • Strength briefly crosses +50 then drops back • Weak momentum, trend not confirmed • Trade: Wait for sustained strength above +50 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Upgrade Your Trading System This free indicator quantifies trend strength objectively. Want more? 🔥 Check out my premium scripts for: • Automated entry and exit signals with trend confirmation • Advanced multi-timeframe strategy systems • Dynamic position sizing based on trend strength • Backtested performance with statistics • Complete trading solutions • And much more... 👉 Visit my profile for professional-grade trading tools! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Important Notes • This indicator measures trend strength, not direction alone • Strong readings don't guarantee continuation (manage risk) • Always use with proper stop losses • Combine with support/resistance analysis • Test on demo before live trading • Past performance doesn't guarantee future results • Adjust settings to match your trading style Disclaimer: For educational purposes only. Trading involves substantial risk. Always do your own research and never risk more than you can afford to lose. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🙏 Support This Work If this indicator helps your trading: • ⭐ Give it a thumbs up • 💬 Share your best strength-based trades in comments • 🔔 Follow for more free professional tools • 🚀 Share with traders who need objective trend analysis Questions about trend strength? Drop a comment and I'll help! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed with ❤️ for traders who want objective, quantified analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Version History • v1.0 - Initial release with 4-component strength calculation and MTF analysis
Pine Script® indicator
by Exponential-X
CODY BOT – Breakout SignalsCODY BOT is a minimalist, high-probability breakout indicator designed to keep your chart clean while highlighting actionable trading opportunities. Unlike traditional indicators that generate too many signals, CODY BOT only alerts you to strong directional moves following consolidation, helping you focus on high-quality entries. Key Features: Detects breakouts above recent highs and below recent lows. Filters weak moves using minimum candle body size. Includes a cooldown period to prevent signal spam. Clean and intuitive visual signals with large arrows for easy interpretation. Optional customization for consolidation lookback bars, minimum candle size, and arrow visibility. Alerts built-in for server-side and mobile notifications. How to Use: Look for BUY arrows when price breaks above consolidation highs. Look for SELL arrows when price breaks below consolidation lows. Combine with your preferred risk management and trend confirmation strategies.
Pine Script® indicator
by tonewayclothing
Lab: Daily 50/200 EMA + ATR Stop (Long Only) by FlyingOceanTigerWHAT IT IS Simple long-only daily trend system that combines the classic 50/200 EMA trend filter with an ATR-based trailing stop. Built as a lab tool for studying daily swing trades on major crypto pairs. CORE IDEA * Only trade in a bullish regime (50 EMA above 200 EMA). * Enter when price shows strength in that trend. * Exit using a volatility stop (ATR) or when the trend breaks. * Keep rules simple and transparent so it’s easy to study and tweak. LOGIC (DEFAULT VERSION) Trend filter: * Long signals only when EMA 50 > EMA 200 (bull trend). Entry conditions: * Price confirms strength above the fast EMA in a bullish regime. * Strategy opens a “Long Entry” on the bar that meets the conditions. Exit conditions: * Primary exit: price hits the ATR stop line that trails under price. * Failsafe exit: trend filter breaks / close back under key levels. Timeframe: * Designed and tested on 1D candles (daily bars), especially on BTC, ETH, SOL, XRP, BNB. INTENDED USE * Research tool to see how a basic 50/200 + ATR framework behaves through full bull/bear cycles. * Simple daily swing-trade engine for long-only crypto exposure. * Clean baseline to compare against more complex systems and filters. NOTES / DISCLAIMER * Works on any symbol and timeframe, but all testing was on daily crypto pairs. * Parameters are intentionally minimal so you can experiment with your own settings. * For educational and testing purposes only. Not financial advice and no guarantee of future results.
Pine Script® strategy
by FlyingOceanTiger
SR & POI Indicator//@version=5 indicator(title='SR & POI Indicator', overlay=true, max_boxes_count=500, max_lines_count=500, max_labels_count=500) //============================================================================ // SUPPLY/DEMAND & POI SETTINGS //============================================================================ swing_length = input.int(10, title = 'Swing High/Low Length', group = 'Supply/Demand Settings', minval = 1, maxval = 50) history_of_demand_to_keep = input.int(20, title = 'History To Keep', group = 'Supply/Demand Settings', minval = 5, maxval = 50) box_width = input.float(2.5, title = 'Supply/Demand Box Width', group = 'Supply/Demand Settings', minval = 1, maxval = 10, step = 0.5) show_price_action_labels = input.bool(false, title = 'Show Price Action Labels', group = 'Supply/Demand Visual Settings') supply_color = input.color(color.new(#EDEDED,70), title = 'Supply', group = 'Supply/Demand Visual Settings', inline = '3') supply_outline_color = input.color(color.new(color.white,75), title = 'Outline', group = 'Supply/Demand Visual Settings', inline = '3') demand_color = input.color(color.new(#00FFFF,70), title = 'Demand', group = 'Supply/Demand Visual Settings', inline = '4') demand_outline_color = input.color(color.new(color.white,75), title = 'Outline', group = 'Supply/Demand Visual Settings', inline = '4') bos_label_color = input.color(color.white, title = 'BOS Label', group = 'Supply/Demand Visual Settings') poi_label_color = input.color(color.white, title = 'POI Label', group = 'Supply/Demand Visual Settings') swing_type_color = input.color(color.black, title = 'Price Action Label', group = 'Supply/Demand Visual Settings') //============================================================================ // SR SETTINGS //============================================================================ enableSR = input(true, "SR On/Off", group="SR Settings") colorSup = input(#00DBFF, "Support Color", group="SR Settings") colorRes = input(#E91E63, "Resistance Color", group="SR Settings") strengthSR = input.int(2, "S/R Strength", 1, group="SR Settings") lineStyle = input.string("Dotted", "Line Style", , group="SR Settings") lineWidth = input.int(2, "S/R Line Width", 1, group="SR Settings") useZones = input(true, "Zones On/Off", group="SR Settings") useHLZones = input(true, "High Low Zones On/Off", group="SR Settings") zoneWidth = input.int(2, "Zone Width %", 0, tooltip="it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR Settings") expandSR = input(true, "Expand SR", group="SR Settings") //============================================================================ // SUPPLY/DEMAND FUNCTIONS //============================================================================ // Function to add new and remove last in array f_array_add_pop(array, new_value_to_add) => array.unshift(array, new_value_to_add) array.pop(array) // Function for swing H & L labels f_sh_sl_labels(array, swing_type) => var string label_text = na if swing_type == 1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HH' else label_text := 'LH' label.new(bar_index - swing_length, array.get(array,0), text = label_text, style=label.style_label_down, textcolor = swing_type_color, color = color.new(swing_type_color, 100), size = size.tiny) else if swing_type == -1 if array.get(array, 0) >= array.get(array, 1) label_text := 'HL' else label_text := 'LL' label.new(bar_index - swing_length, array.get(array,0), text = label_text, style=label.style_label_up, textcolor = swing_type_color, color = color.new(swing_type_color, 100), size = size.tiny) // Function to check overlapping f_check_overlapping(new_poi, box_array, atr) => atr_threshold = atr * 2 okay_to_draw = true for i = 0 to array.size(box_array) - 1 top = box.get_top(array.get(box_array, i)) bottom = box.get_bottom(array.get(box_array, i)) poi = (top + bottom) / 2 upper_boundary = poi + atr_threshold lower_boundary = poi - atr_threshold if new_poi >= lower_boundary and new_poi <= upper_boundary okay_to_draw := false break else okay_to_draw := true okay_to_draw // Function to draw supply or demand zone f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atr) => atr_buffer = atr * (box_width / 10) box_left = array.get(bn_array, 0) box_right = bar_index var float box_top = 0.00 var float box_bottom = 0.00 var float poi = 0.00 if box_type == 1 box_top := array.get(value_array, 0) box_bottom := box_top - atr_buffer poi := (box_top + box_bottom) / 2 else if box_type == -1 box_bottom := array.get(value_array, 0) box_top := box_bottom + atr_buffer poi := (box_top + box_bottom) / 2 okay_to_draw = f_check_overlapping(poi, box_array, atr) if box_type == 1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color, bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = color.new(poi_label_color,90), bgcolor = color.new(poi_label_color,90), extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) else if box_type == -1 and okay_to_draw box.delete( array.get(box_array, array.size(box_array) - 1) ) f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color, bgcolor = demand_color, extend = extend.right, text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) box.delete( array.get(label_array, array.size(label_array) - 1) ) f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = color.new(poi_label_color,90), bgcolor = color.new(poi_label_color,90), extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) // Function to change supply/demand to BOS if broken f_sd_to_bos(box_array, bos_array, label_array, zone_type) => if zone_type == 1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_top(array.get(box_array,i)) if close >= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) if zone_type == -1 for i = 0 to array.size(box_array) - 1 level_to_break = box.get_bottom(array.get(box_array,i)) if close <= level_to_break copied_box = box.copy(array.get(box_array,i)) f_array_add_pop(bos_array, copied_box) mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2 box.set_top(array.get(bos_array,0), mid) box.set_bottom(array.get(bos_array,0), mid) box.set_extend( array.get(bos_array,0), extend.none) box.set_right( array.get(bos_array,0), bar_index) box.set_text( array.get(bos_array,0), 'BOS' ) box.set_text_color( array.get(bos_array,0), bos_label_color) box.set_text_size( array.get(bos_array,0), size.small) box.set_text_halign( array.get(bos_array,0), text.align_center) box.set_text_valign( array.get(bos_array,0), text.align_center) box.delete(array.get(box_array, i)) box.delete(array.get(label_array, i)) // Function to extend box endpoint f_extend_box_endpoint(box_array) => for i = 0 to array.size(box_array) - 1 box.set_right(array.get(box_array, i), bar_index + 100) //============================================================================ // SR FUNCTIONS //============================================================================ percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 //============================================================================ // SUPPLY/DEMAND CALCULATIONS //============================================================================ atr = ta.atr(50) swing_high = ta.pivothigh(high, swing_length, swing_length) swing_low = ta.pivotlow(low, swing_length, swing_length) var swing_high_values = array.new_float(5,0.00) var swing_low_values = array.new_float(5,0.00) var swing_high_bns = array.new_int(5,0) var swing_low_bns = array.new_int(5,0) var current_supply_box = array.new_box(history_of_demand_to_keep, na) var current_demand_box = array.new_box(history_of_demand_to_keep, na) var current_supply_poi = array.new_box(history_of_demand_to_keep, na) var current_demand_poi = array.new_box(history_of_demand_to_keep, na) var supply_bos = array.new_box(5, na) var demand_bos = array.new_box(5, na) // New swing high if not na(swing_high) f_array_add_pop(swing_high_values, swing_high) f_array_add_pop(swing_high_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_high_values, 1) f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atr) // New swing low else if not na(swing_low) f_array_add_pop(swing_low_values, swing_low) f_array_add_pop(swing_low_bns, bar_index ) if show_price_action_labels f_sh_sl_labels(swing_low_values, -1) f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atr) f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1) f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1) f_extend_box_endpoint(current_supply_box) f_extend_box_endpoint(current_demand_box) //============================================================================ // SR CALCULATIONS & PLOTTING //============================================================================ rb = 10 prd = 284 ChannelW = 10 label_loc = 55 style = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed ph = ta.pivothigh(rb, rb) pl = ta.pivotlow (rb, rb) sr_levels = array.new_float(21, na) prdhighest = ta.highest(prd) prdlowest = ta.lowest(prd) cwidth = percWidth(prd, ChannelW) zonePerc = percWidth(300, zoneWidth) aas = array.new_bool(41, true) u1 = 0.0, u1 := nz(u1 ) d1 = 0.0, d1 := nz(d1 ) highestph = 0.0, highestph := highestph lowestpl = 0.0, lowestpl := lowestpl var sr_levs = array.new_float(21, na) label hlabel = na, label.delete(hlabel ) label llabel = na, label.delete(llabel ) var sr_lines = array.new_line(21, na) var sr_linesH = array.new_line(21, na) var sr_linesL = array.new_line(21, na) var sr_linesF = array.new_linefill(21, na) var sr_labels = array.new_label(21, na) if ph or pl for x = 0 to array.size(sr_levels) - 1 array.set(sr_levels, x, na) highestph := prdlowest lowestpl := prdhighest countpp = 0 for x = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest)) lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest)) countpp += 1 if countpp > 40 break if array.get(aas, countpp) upl = (ph ? high : low ) + cwidth dnl = (ph ? high : low ) - cwidth u1 := countpp == 1 ? upl : u1 d1 := countpp == 1 ? dnl : d1 tmp = array.new_bool(41, true) cnt = 0 tpoint = 0 for xx = 0 to prd if na(close ) break if not na(ph ) or not na(pl ) chg = false cnt += 1 if cnt > 40 break if array.get(aas, cnt) if not na(ph ) if high <= upl and high >= dnl tpoint += 1 chg := true if not na(pl ) if low <= upl and low >= dnl tpoint += 1 chg := true if chg and cnt < 41 array.set(tmp, cnt, false) if tpoint >= strengthSR for g = 0 to 40 by 1 if not array.get(tmp, g) array.set(aas, g, false) if ph and countpp < 21 array.set(sr_levels, countpp, high ) if pl and countpp < 21 array.set(sr_levels, countpp, low ) // Plot SR var line highest_ = na, line.delete(highest_) var line lowest_ = na, line.delete(lowest_) var line highest_fill1 = na, line.delete(highest_fill1) var line highest_fill2 = na, line.delete(highest_fill2) var line lowest_fill1 = na, line.delete(lowest_fill1) var line lowest_fill2 = na, line.delete(lowest_fill2) hi_col = close >= highestph ? colorSup : colorRes lo_col = close >= lowestpl ? colorSup : colorRes if enableSR highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth) lowest_ := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth) if useHLZones highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill1 := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) lowest_fill2 := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na) linefill.new(highest_fill1, highest_fill2, color.new(hi_col, 80)) linefill.new(lowest_fill1 , lowest_fill2 , color.new(lo_col, 80)) if ph or pl for x = 0 to array.size(sr_lines) - 1 array.set(sr_levs, x, array.get(sr_levels, x)) for x = 0 to array.size(sr_lines) - 1 line.delete(array.get(sr_lines, x)) line.delete(array.get(sr_linesH, x)) line.delete(array.get(sr_linesL, x)) linefill.delete(array.get(sr_linesF, x)) if array.get(sr_levs, x) and enableSR line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth)) if useZones array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)) array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), color.new(line_col, 80))) for x = 0 to array.size(sr_labels) - 1 label.delete(array.get(sr_labels, x)) if array.get(sr_levs, x) and enableSR lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down lab_col = close >= array.get(sr_levs, x) ? colorSup : colorRes array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc)) hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up ) : na
Pine Script® indicator
by doctorUnlocker
CRAZY RAY RAY - Dashboard 1-5-15-1D + SMC + Clock + Candles PRO OANDA:XAUUSD This script is essentially your institutional "nuclear power plant" for scalping and swing trading: it combines the 1-5-15-1D dashboard, SMC, PRO candles, money flow times, institutional filters, Bull/Bear 12C, Liquidity HUD, Fibo Move, and Target Trend with SL + 3 TPs into a single indicator. 1. Dashboard 1–5–15–1D (Central HUD) Calculates across 4 timeframes: 1m, 5m, 15m, and 1D: Trend with EMAs 15/30/200. RSI (strength >50 buy, <50 sell). MACD (crossover in favor or against). For each timeframe it shows: TREND → BULLISH / BEARISH / NEUTRAL. ACTION → BUY / SELL / WAIT. If all 4 timeframes align: MODE = BULLISH BUY MODE = BEARISH SELL Filters and displays on the HUD if buys or sells are blocked by SMC context (BLOCKED BUY / BLOCKED SELL). Also draws 2 simple moving averages on the chart: SMA 20 white (you can use it as a micro-trend). SMA 200 red (macro trend and institutional reference). 2. Real-Time Clock + Trading Hours Calculates the real time for: New York / Miami London Tokyo using current time and real time zone. Also calculates GMT time to know which session is dominant. Marks your trading hours: LONDON 3:00–5:30 (London time) → goodLondon NY OPEN 8:30–10:00 (NY time) → goodNYOpen ASIA 20:00–23:00 (Tokyo) → goodAsiaScalp Displays a message on the HUD: LONDON 3:00–5:30 (1–2 TRADES) NY OPEN 8:30–10:00 (1 TRADE) ASIA 20–23 (SCALP) NO TRADE ROLL / DEAD / LATE ONLY A+ SETUPS (when not in strong trading hours). 3. Institutional Power (volume + ATR + session) Filter that evaluates whether the moment is institutional or retail: Checks: If you are in a strong trading session (London / NY). If the volume is above the average × multiplier. If the ATR is above the average × multiplier. If it passes the filters → INST ON, otherwise → RETAIL ZONE. Used internally to block buys/sells and for the HUD. 4. Micro-signal “NO RETRACEMENT” on 1m (BUY SR / SELL SR) On the 1-minute timeframe, it detects a very aggressive entry: Clean trend (15/30/200 EMAs aligned). Price crosses the 200 EMA. MACD turns in favor. Marks on the candle: BUY SR (buys without retracement below the EMA200). SELL SR (sales without retracement above the EMA200). This state is also reflected in the HUD as the “SR” row. 5. SMC Block: HH/HL/LH/LL + BMS + ChoCH + Fibo + Zones This is the SMC brain of the script: Detects swings with pivots: Paints HH, HL, LH, LL (if you activate showHHLL). Marks BOS (break of structure). Marks BMS and ChoCH (with strong or weak filter using ATR, volume, MACD, gaps). Draws: Internal Fibo of the last range (38–50–61). Fibo entry zone 38–78% as a green discount/premium box. Institutional mitigation zones (simple OB type green/red boxes). Current range with dotted yellow lines. Calculates logic for: antiStupidBuy: blocks purchases when the context is very bearish (LL–LL–LH, bearish ChoCH, premium, EQH, etc.). antiStupidSell: symmetrical for sales. From this comes: allowBuyInst allowSellInst buyBlockerOn / sellBlockerOn buyTrapDetected (BUY SR signal but context blocks it → BUY TRAP). All this feeds the HUD and institutional alerts. 6. PRO Candles (candlestick + smart color) Candlestick pattern system: Detects: Hammer, Inverted Hammer. Doji. Strong bullish/bearish candle. Bullish/bearish engulfing. Uses a trend EMA to determine if the pattern is with or against the trend. Colors the candles according to the pattern (if you enable useColorCandles). Defines texts: patternText (pattern name). biasText (reversal, momentum, indecision). Updates the HUD with the current pattern (“CANDLE: Engulf Bull”, etc.). 7. Institutional PRO Combo + Reversals Connects everything: fullBuySetup: allowBuyInst TRUE (SMC + Fibo + mitigation OK). Institutional candles in favor (engulfing, hammer, etc.). MultiTF aligned (1m, 5m in favor, 15/1D not strongly against). Strong session (London or NY). No blockages. fullSellSetup: the same for sales. Marks on the chart: BUY PRO, SELL PRO. BUY REV LL → reversal from a LL, at Fibo discount, with an institutional candle and above EMA200. SELL REV HH → reversal from HH, at Fibo premium, with an institutional candle and below EMA200. And generates alerts for all of this. 8. Dynamic Main HUD On barstate.islast, updates the HUD: Changes “BUY / SELL” to: BUY BLOCK / SELL BLOCK when the context blocks that direction. Writes: Current candle pattern. Time message. Global status: BUY TRAP ❌, BUY REV LL ✅, SELL REV HH ✅, BUY PRO ✅, SELL PRO ✅, BUY BLOCK, SELL BLOCK, BUY/SELL OK. 9. Bull/Bear 12C HUD (Small right HUD) 12-confirmation bull/bear engine: Calculates: Sweep, 5th leg, mitigation, HL/LH, strong BOS. Volume pattern (high-low-high). ATR rising. MACD crossover. Liquidity. Fear & Greed (SMA50). Gap/imbalance. Bull/Bear 180 weak. Count how many are ON: bullScore /12 bearScore /12 Define a regime: INSTITUTIONAL → many confirmations + rvol + ATR. NORMAL RETAIL Show on right HUD: List 1 to 12 with green/red dots BULL / BEAR. Summary: “Regime: INSTITUTIONAL / NORMAL / RETAIL”. 10. Liquidity HUD XAU SCALP Calculates RVOL, normalized ATR, spread vs ATR, current range vs average range. Generates score and classifies: LOW / MED / HIGH / INS. Only moves up one level if you are in London/NY session (depending on sessions)
Pine Script® indicator
by rivero8894
2
Pivot Points Standard w/ Future PivotsPivot Points Standard with Future Projections This indicator displays traditional pivot point levels with an added feature to project future pivot levels based on the current period's price action. Key Features: Multiple Pivot Types: Choose from Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla pivot calculations Flexible Timeframes: Auto-detect or manually select Daily, Weekly, Monthly, Quarterly, Yearly, and multi-year periods Future Pivot Projections: Visualize potential pivot levels for the next period based on current price movement Custom Price Scenarios: Test "what-if" scenarios by entering a custom close price to see resulting pivot levels Customizable Display: Adjust line styles, colors, opacity, and label positioning for both historical and future pivots Historical Pivots: View up to 200 previous pivot periods for context Future Pivot Options: The unique future pivot feature calculates what the next period's support and resistance levels would be using the current period's High, Low, Open, and either the current price or a custom price you specify for the closing value. Future pivots are displayed with customizable line styles (solid, dashed, dotted) and opacity to distinguish them from historical levels. Use Cases: Plan entries and exits based on projected support/resistance Scenario analysis with custom price targets Identify key levels before the period closes Multi-timeframe pivot analysis Works on all timeframes and instruments.
Pine Script® indicator
by CryptoPl3be
Pre-Market Confirmed Momentum – FULL WATCHLIST 2025**Pre-Market Confirmed Momentum – High-Conviction Gap Scanner (2025)** Scans 94 high-liquidity NASDAQ/NYSE stocks (NVDA, TSLA, COIN, AMD, SOFI, ASTS, CIFR, etc.) for strong pre-market gap-ups that are confirmed by both elevated volume and broad-market strength. **Entry triggers only when ALL are true at 09:29 ET:** - ≥ +1.5% gap from previous regular close - Pre-market volume ≥ 2.5× the 20-day average - QQQ pre-market ≥ +0.5% (market filter) Back-tested June 2024 – Dec 2025: 68 signals → **+1.96% average intraday return** → **75% win rate** after 1.5% hard stop. Features large on-chart labels, triangle markers, and dynamic `alert()` messages with exact gap % and volume multiple. Works on 1-min or 5-min charts with extended hours enabled – perfect for day traders hunting clean, high-probability momentum entries at the open. Ready for watchlist scanning and real-time alerts. Enjoy the edge! 🚀
Pine Script® indicator
by redmaxy66
Developing Midpoint TrackerDeveloping Midpoint Tracker (DMT) Original Concept: This indicator tracks key midpoint levels from either session opens or custom timeframe periods, providing precise reference levels for intraday trading decisions. Dual Tracking Modes: Session Mode: Tracks midpoints from a specific session start time (e.g., 1800 ET electronic trading open) with full timezone support Timeframe Mode: Tracks midpoints from any custom timeframe (15m, 1H, 4H, etc.) using higher timeframe OHLC data via request.security() Core Calculations: The indicator calculates three distinct midpoint levels: Open-to-High Midpoint: (Session/Timeframe Open + Highest High) / 2 Open-to-Low Midpoint: (Session/Timeframe Open + Lowest Low) / 2 High-to-Low Midpoint: (Highest High + Lowest Low) / 2 Visual Features: Horizontal lines extending from the reference period start with customizable colors, styles, and extension length Smart collision detection prevents duplicate lines at identical price levels Price labels with transparent backgrounds showing exact values Optional reference open price line Real-time info table displaying current mode and all calculated levels Technical Implementation: Uses Pine Script's native time() function for accurate session detection across multiple timezones Employs request.security() for reliable higher timeframe data access Implements proper line and label management to prevent memory issues Supports 13 major global timezones including US markets, Europe, and Asia Use Cases: Identifying potential support/resistance levels from key price relationships Setting profit targets and stop levels based on mathematical price midpoints Analyzing price behavior around session or timeframe-specific reference levels Multi-timeframe analysis when using custom timeframe mode on lower timeframe charts This indicator is particularly useful for traders who utilize midpoint reversion strategies or need precise reference levels derived from session or timeframe opens.
Pine Script® indicator
by Fractaldactyl
Smart Money Tracker [Eˣ]💰 Smart Money Tracker - Free Indicator Overview The Smart Money Tracker helps you identify when institutional traders (banks, hedge funds, and large players) are actively buying or selling. By analyzing unusual volume patterns and price action, this indicator reveals hidden accumulation and distribution zones that often precede major price moves. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 What This Indicator Does Tracks Institutional Activity: • Detects when "smart money" is accumulating (buying) at support levels • Identifies when institutions are distributing (selling) at resistance levels • Shows real-time buying and selling pressure through volume analysis • Highlights bars where unusual institutional activity is detected Visual Signals: • 🟢 Green Circles Below Bars = Accumulation Zone (institutions buying at lows) • 🔴 Red Circles Above Bars = Distribution Zone (institutions selling at highs) • Green Background Tint = Strong buying pressure detected • Red Background Tint = Strong selling pressure detected • Dashed Lines = Key institutional levels to watch Money Flow Histogram: • Shows buying vs selling pressure in real-time • Scale from -100 (extreme selling) to +100 (extreme buying) • Green bars = Net buying pressure • Red bars = Net selling pressure ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 How To Use This Indicator Basic Usage 1. Look For Accumulation Signals (🟢) • Green circles appear when institutions are buying at support • These zones often mark the end of pullbacks • Price typically bounces from these levels • Trading Signal: Consider long positions when accumulation appears at key support 2. Watch For Distribution Signals (🔴) • Red circles appear when institutions are selling at resistance • These zones often mark local tops • Price typically reverses from these levels • Trading Signal: Consider taking profits or short positions when distribution appears at resistance 3. Monitor The Pressure Histogram • Values above +20 = Strong buying pressure (bullish) • Values above +5 = Moderate buying pressure • Values between -5 and +5 = Neutral/ranging • Values below -5 = Moderate selling pressure • Values below -20 = Strong selling pressure (bearish) 4. Check The Info Panel (Top Right) • Status: Quick summary of current market pressure • Pressure: Numerical value of buying/selling force • Volume: Current volume status (High/Normal) • Accumulation Count: Number of accumulation signals in last 20 bars • Distribution Count: Number of distribution signals in last 20 bars ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Trading Strategies Strategy 1: Accumulation Bounce 1. Wait for green accumulation circle at support level 2. Confirm with positive money flow histogram 3. Enter long when price bounces from accumulation zone 4. Set stop loss below the accumulation level Strategy 2: Distribution Reversal 1. Watch for red distribution circle at resistance 2. Confirm with negative money flow histogram 3. Consider taking profits on longs or entering shorts 4. Set stop loss above the distribution level Strategy 3: Pressure Divergence 1. Price making new highs but histogram declining = Bearish divergence 2. Price making new lows but histogram rising = Bullish divergence 3. These often signal trend exhaustion and reversals Strategy 4: Zone Confluence 1. When accumulation zones align with major support = High probability long 2. When distribution zones align with major resistance = High probability short 3. Multiple signals at same level = Institutional interest confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Settings Explained Volume Analysis Length (Default: 20) • Lookback period for calculating average volume • Lower values = More sensitive to recent volume spikes • Higher values = Smoother, less sensitive to noise • Recommended: 14-20 for day trading, 20-30 for swing trading Smart Money Threshold (Default: 1.5) • Multiplier for detecting "unusual" volume • Lower values = More signals (more sensitive) • Higher values = Fewer signals (only extreme volume) • Recommended: 1.3-1.5 for volatile markets, 1.5-2.0 for calmer markets Show Accumulation/Distribution Zones • Toggle ON/OFF the dashed zone lines • Keep ON to track key institutional levels Show Smart Money Labels • Toggle ON/OFF the zone labels • Turn OFF for cleaner chart appearance Show Pressure Histogram • Toggle ON/OFF the money flow histogram • Keep ON to see real-time pressure gauge ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 Understanding The Methodology What Is "Smart Money"? Smart money refers to institutional traders, banks, hedge funds, and large players who have significant capital and often move markets. These players: • Buy during weakness (accumulation) • Sell during strength (distribution) • Create support and resistance zones • Their activity precedes major moves How The Indicator Detects Smart Money: 1. Volume Analysis: Compares current volume to average volume to detect unusual activity 2. Price Action: Analyzes candle closes, wicks, and position within the range 3. Context: Identifies if activity happens at key swing highs or lows 4. Flow Calculation: Measures directional volume flow (buying vs selling) Why This Works: • Institutions cannot hide large orders - they create volume spikes • Accumulation at lows shows conviction in higher prices • Distribution at highs shows institutions taking profits • Following smart money increases probability of success ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Alert Setup This indicator includes 4 built-in alert types: 1. Accumulation Detected - Fires when institutions buy at support 2. Distribution Detected - Fires when institutions sell at resistance 3. Strong Buying Pressure - Fires when pressure histogram exceeds +30 4. Strong Selling Pressure - Fires when pressure histogram drops below -30 To Set Up Alerts: 1. Click the "Alert" button (clock icon) in TradingView 2. Select "Smart Money Tracker" from the indicator dropdown 3. Choose your alert condition 4. Configure notification settings 5. Click "Create" ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 Pro Tips ✅ Best Timeframes: Works on all timeframes, but most effective on 15min, 1H, 4H, and Daily ✅ Combine With: Support/resistance levels, trend indicators, or your existing strategy ✅ Volume Matters: Signals are stronger on higher timeframes with significant volume ✅ Multiple Signals: Repeated accumulation/distribution at same level = Strong institutional interest ✅ Market Context: Use alongside broader market trend analysis for best results ⚠️ Avoid: Low volume periods, major news events (false signals possible), and over-relying on single indicator ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 What Makes This Different? Unlike basic volume indicators, Smart Money Tracker: • Contextual Analysis - Doesn't just measure volume, but WHERE and HOW it occurs • Visual Clarity - Instant visual feedback on institutional activity • Multi-Layered - Combines volume, price action, and flow analysis • Actionable - Clear zones and signals for trading decisions • Professional Grade - Uses techniques from institutional trading desks ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Upgrade Your Trading This free indicator gives you institutional-level insights. Want more? 🔥 Check out my premium scripts for: • Automated entry and exit signals • Advanced multi-timeframe analysis • Dynamic stop loss management • Backtested strategies with performance stats • And much more... 👉 Visit my profile to see all available tools! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes • This indicator works best as part of a complete trading system • Always use proper risk management and position sizing • Past performance does not guarantee future results • Consider combining with other forms of analysis • Test thoroughly on demo accounts before live trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🙏 Support This Work If you find this indicator helpful: • ⭐ Give it a thumbs up • 💬 Leave a comment with your experience • 🔔 Follow for more free tools and updates • 🚀 Share with fellow traders Questions? Drop a comment below and I'll help you out! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed with ❤️ for the TradingView community ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Version History • v1.0 - Initial release with core smart money detection features
Pine Script® indicator
by Exponential-X