Mulai

Volatilty

Average CandleAverage Candle is a simple volatility display indicator. It calculates the average candle range on a chosen higher timeframe (most commonly Daily) over a selected number of candles, converts that average range into pips, and shows the result as a small label on the chart. Traders can use it to quickly see “typical” movement for the day (or any timeframe) and adjust expectations for entries, stop loss distance, take profit targets, and position sizing.
Indikator Pine Script®
oleh zemanjose
SAl VWAP LITE SA Final VWAP — LITE (Beginner Guide) This strategy is designed to only take trades when 3 layers agree: Market posture (HTF = 1H VWAP direction) Mid confirmation (MID = 15m VWAP direction) Execution entry (your chart timeframe signal: SMA trend + VWAP + wick flip + RSI) It’s built to avoid chop by requiring trend + location + momentum + a reversal wick trigger. 1) What the script does (in plain English) A Long (green) signal happens only when ALL are true: ✅ HTF VWAP is bullish (price above VWAP on 1H) ✅ MID VWAP is bullish (price above VWAP on 15m) ✅ Execution trend is bullish (SMA3 > SMA8 AND close > SMA8) ✅ Price is above VWAP on your current chart ✅ The prior candle had an upper wick (bearish rejection wick) ✅ RSI is strong (RSI > 55 by default) A Short (red) signal happens only when ALL are true: ✅ HTF VWAP is bearish (price below VWAP on 1H) ✅ MID VWAP is bearish (price below VWAP on 15m) ✅ Execution trend is bearish (SMA3 < SMA8 AND close < SMA8) ✅ Price is below VWAP on your current chart ✅ The prior candle had a lower wick (bullish rejection wick) ✅ RSI is weak (RSI < 45 by default) If those aren’t met, candles stay gray = no trade / neutral. 2) How to add it on TradingView (step-by-step) Open TradingView Click Pine Editor (bottom panel) Paste the full script Click Save Click Add to chart Go to Strategy Tester (bottom) to view results If you want alerts: You can still create alerts for strategy orders, but it works best if we convert it to an indicator version with alert conditions. (If you want, tell me and I’ll generate that version.) 3) Best instruments to use it on This type of VWAP+trend+RSI filter works best on instruments with: High liquidity Clean trend behavior Tight spreads / stable fills Best: Index futures: NQ / ES Index ETFs: QQQ / SPY Very liquid mega caps: AAPL / MSFT / NVDA Avoid thin stocks or random low-volume names. 4) Best timeframes to run it on (beginner safe) ✅ Recommended execution timeframes (where entries trigger) 1 minute (fast, best if you’re experienced) 3 minute (balanced) 5 minute (most beginner friendly) ✅ Gate timeframes (already built in) HTF = 60 min MID = 15 min These should usually stay as-is. 5) How to interpret the candle colors Green candle = A valid LONG signal fired on that bar Red candle = A valid SHORT signal fired on that bar Gray candle = No signal (do nothing) This is important: Gray is a feature, not a problem. Gray means the system is protecting you from chop. 6) What “Strict Mode (HTF=MID)” really means When Strict Mode = ON: HTF and MID must agree exactly This reduces signals but improves quality When Strict Mode = OFF: HTF alone can allow direction More trades, more noise Beginner rule: keep Strict Mode ON. 7) How to trade it (simple beginner rules) Long trade rules Wait for a green candle (signal candle) Enter at the close of the candle (or next candle open) Use your stop (your script currently uses TP+SL inside strategy) Short trade rules Wait for a red candle Enter at the close (or next candle open) Respect stop loss Most important discipline rule Do not take trades “because it’s close.” Take only when the candle is green/red. 8) Why the wick rule is powerful This is a key “needle shifter.” Long requires prior bearish wick (upper wick): That shows sellers tried to push up resistance / reject price — and failed. If the market is still above VWAP + trend is up, that wick often marks a “dip-then-go” continuation. Short requires prior bullish wick (lower wick): Buyers tried to defend and push up — but got rejected. Under VWAP + downtrend + weak RSI, that wick often becomes the last pullback before continuation down. So the wick rule helps avoid entering mid-candle or late chase entries. 9) How to avoid the 100-point reversal problem you mentioned Those big reversals usually come from one of these: (A) Taking signals inside chop Fix: keep Strict Mode ON, and keep RSI thresholds. (B) Trading directly into a major support/resistance zone Fix: Avoid entries right at prior day high/low, overnight high/low, or major swing points Don’t short directly into support; don’t long into resistance (C) News spikes Fix: Avoid trading major news windows (CPI, FOMC, Powell, NFP) VWAP systems can get steamrolled temporarily during high-impact releases 10) Beginner settings I recommend (starting defaults) Keep these: Strict Mode = ✅ ON RSI Length = 14 RSI Bull > 55 RSI Bear < 45 SMA = 3 & 8 (as you have now) HTF = 60m, MID = 15m If you want fewer trades but higher quality: RSI Bull > 58 RSI Bear < 42 wickMinTicks = 2 (filters tiny meaningless wicks) 11) What you should NOT do (common beginner mistakes) ❌ Don’t take trades when candles are gray ❌ Don’t reverse immediately because the opposite color appears one candle later ❌ Don’t use this as a prediction tool — it’s a confirmation tool ❌ Don’t force trades in low volume periods (midday chop) 12) Best “times of day” to trade it (for index products) For NQ/ES/QQQ/SPY, the cleanest VWAP trend behavior is usually: 9:35–11:00 ET (best) 1:30–3:30 ET (good) Avoid 11:30–1:15 ET (chop zone) Why You Should Monitor the Strategy Report (Very Important) This script is intentionally published as a strategy, not just an indicator. That is by design. The Strategy Tester Report is a core part of how this tool should be evaluated. When you open the Strategy Tester tab in TradingView, you gain insight into: Win rate consistency across timeframes Drawdown behavior during choppy vs trending conditions How often signals occur (selectivity matters) Performance differences between 1m, 3m, and 5m charts The value of the HTF + MID gating logic during high-risk periods ⚠️ Do not judge this tool based on a handful of trades or one session. Its real value shows up when you observe: Fewer trades during chop Cleaner participation during directional sessions Reduced exposure during regime conflict This is exactly why the higher-timeframe VWAP posture and RSI/wick filters exist. 🧠 How to Use the Strategy Report Effectively (Beginner Tip) To properly evaluate the system: Apply the strategy to one instrument (ex: NQ, ES, QQQ) Test one execution timeframe at a time (1m, 3m, or 5m) Keep HTF = 60m and MID = 15m fixed Review results over multiple days, not single sessions Pay attention to: Max drawdown Trade clustering Losing streak behavior (this matters more than win rate alone) This will give you a much more realistic understanding of what the system is designed to do. 🔒 About This Script (Important Notice) This SA Final VWAP — LITE script is intentionally: Condensed Restricted Directionally gated Missing advanced logic layers It represents the last free public release of this VWAP-based framework. The full version includes additional proprietary components such as: Expanded regime classification Enhanced VWAP slope and acceptance logic Advanced no-trade zones Multi-setup prioritization Internal failure-state suppression Additional probabilistic filters not exposed here These components materially change behavior during difficult market conditions and are not included in this public script. 📩 For Serious Users / Full Version Access If you find this indicator useful, insightful, or different from typical TradingView tools, you are encouraged to reach out directly. This script is meant to: Demonstrate the core logic Allow you to validate performance via the strategy report Help you decide whether the full framework is appropriate for your trading 📬 For access to the complete version and additional attributes of the algorithm, contact the author directly. This separation is intentional to: Protect intellectual property Maintain system integrity Ensure serious users receive proper context and guidance 🧭 Final Note This is not a prediction tool. It is a confirmation and participation framework designed to operate when probability, structure, and momentum align. Gray candles are protection. Green and red candles are permission. Use it with patience, discipline, and proper evaluation — and let the strategy report tell you the real story.
Strategi Pine Script®
oleh SignalArchitecT_AI
Adaptive ATR Trend FollowerDESCRIPTION: A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels. WHAT MAKES IT UNIQUE: • Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments • ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods • Clear visual trend zones with adjustable transparency for better chart readability • Educational focus on risk management concepts and adaptive position sizing • Signal markers that highlight exact trend change points for precise analysis HOW IT WORKS: 1. Calculates Average True Range (ATR) to measure current market volatility 2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier) 3. Automatically switches trend direction when price crosses the trailing stop level 4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring 5. Updates stop levels in real-time as market conditions change EDUCATIONAL VALUE: This indicator serves as a learning tool for understanding: - How to use ATR for dynamic position and risk management - The importance of adapting trading systems to current volatility conditions - Trend-following principles with immediate visual feedback - Risk management techniques through adaptive stop placement - The relationship between volatility and optimal stop distances SETTINGS EXPLAINED: • ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings. • ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops. • Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets) • Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection. • Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line. RISK WARNING & DISCLAIMER: This is an educational trend-following tool designed for learning purposes. Important considerations: • May produce whipsaw signals during sideways/consolidating markets • Works best in clearly trending market environments • Always combine with other analysis techniques for confirmation • Practice proper risk management - never risk more than you can afford to lose • Past performance does not guarantee future results • This is NOT financial advice. Use at your own risk and discretion. USE CASES: - Learning about volatility-based trading systems and concepts - Identifying potential trend direction changes with visual confirmation - Setting adaptive stop-loss levels that adjust to market conditions - Educational tool for understanding how ATR affects position management - Visual study of how volatility impacts trend-following strategies COMPATIBILITY: • Works on all markets: Forex, Stocks, Crypto, Commodities, Indices • Effective on multiple timeframes (5-minute to daily charts recommended) • Compatible with other indicators for multi-factor analysis INSTALLATION & USAGE: 1. Add indicator to your chart 2. Start with "Balanced" mode for most markets 3. Adjust ATR multiplier based on your risk tolerance 4. Use signals as potential entry/exit points (with confirmation) 5. Observe how stops adapt to changing volatility conditions EDUCATIONAL TIP: Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
Indikator Pine Script®
oleh JaxonJackFX
Bollinger Bands + 5 Flexible MA [Ahorrador de Espacio]Description: This "All-in-One" indicator combines classic Bollinger Bands with up to 5 fully customizable Moving Averages (MA) in a single script. Designed specifically for traders who want to maximize their technical analysis setup without using up multiple indicator slots (ideal for Basic/Free plan users). Key Features: Bollinger Bands: Standard configuration (SMA 20, StdDev 2) with visual contact alerts (Triangles). 5 Independent Moving Averages: Toggle On/Off: Activate only the lines you need. Total Flexibility: Choose between SMA (Simple) or EMA (Exponential) for each individual line. Customization: Full control over length, color, and line thickness. Clean Interface: MAs 4 and 5 are disabled by default to keep your chart clean, but are ready to be activated in the settings. How to Use: Add the indicator to your chart. Open the Settings (gear icon). Select which MAs you want to display (e.g., SMA 200 for trend, EMA 9 for scalping). Use at your own discretion as a confluence tool for trend and volatility. Note: This script is a visualization tool. The band signals (triangles) indicate price touching the outer bands, which can signify either a potential reversal or trend continuation depending on the market context.
Indikator Pine Script®
oleh Kauff
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy) 1. Core Concept (The Philosophy) This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price." In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend." 2. Technical Components The indicator consists of two main engines working in harmony: First: The Trend Filter (Supertrend): Settings: (ATR 20 / Factor 6.0). Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift. Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed. Second: The Sniper (Bollinger Bands): Settings: (Length 20 / StdDev 2.0). Function: Identifies temporary Overbought and Oversold zones within the trend. Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling. 3. Signal Logic (How it Works) The indicator scans the market for specific, high-probability conditions: A. Buy Signal (Green Triangle): Appears only when both conditions are met: Trend is Bullish: Supertrend is Green. Price is "Cheap": Price drops to touch or break the Lower Bollinger Band. Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity. B. Sell Signal (Red Triangle): Appears only when both conditions are met: Trend is Bearish: Supertrend is Red. Price is "Expensive": Price rises to touch or break the Upper Bollinger Band. Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity. 4. User Guide (How to Trade It) To achieve the best results, consider the following approach when a signal appears: A. Entry: Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation). B. Stop Loss (SL): Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid). Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low. C. Take Profit (TP): Target 1: The Bollinger Bands Middle Line (Basis/SMA 20). Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals). 5. Key Strengths & Limitations Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you. Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep. Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement. Summary for the Trader: This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike." اسم المؤشر: SuperBands (Smart Pullback Strategy) 1. الفكرة الأساسية (الفلسفة وراء المؤشر) هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price). باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط". 2. المكونات التقنية يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد: أولاً: الحارس (Supertrend): الإعدادات: (ATR 20 / Factor 6.0). الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة. القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط. ثانياً: القناص (Bollinger Bands): الإعدادات: (Length 20 / StdDev 2.0). الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه. القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع. 3. كيف تتكون الإشارة (آلية العمل) يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة: A. إشارة الشراء (المثلث الأخضر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه صاعد: السوبر تريند لونه أخضر. سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band). المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل. B. إشارة البيع (المثلث الأحمر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه هابط: السوبر تريند لونه أحمر. سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band). المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع. 4. كيفية الاستفادة منه (دليل المستخدم) لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة: أ. نقاط الدخول (Entry): ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة). ب. وقف الخسارة (Stop Loss): الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير). الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low). ج. جني الأرباح (Take Profit): الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20). الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع). 5. مميزات وعيوب يجب الانتباه لها الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح. نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets). نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة. ملخص للمتداول: هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
Indikator Pine Script®
oleh abdelhadi-salah
Monte Carlo Simulation BandsMonte Carlo Simulation v2.4.2 Plots a one-bar-ahead price distribution band built from many simulated paths. The green band shows empirical percentiles of simulated final prices—these are distribution bounds, not a confidence interval of the mean. What It Does Simulates many one-bar price paths using a directional random walk with volatility scaling (uniform shocks, not Gaussian GBM). Plots Mean Forecast, Median Forecast, and configurable percentile bounds (default 5th/95th). Optional rolling HTF-days mean line (yellow) for trend context. Optional labels and forward projection lines. Alerts when the confirmed close breaks above or below the percentile band. Non-Repainting & HTF Behavior (Fail-Closed) All calculations are gated to confirmed bars only via explicit no_repaint_ok gate (barstate.isconfirmed). If you select an HTF Resolution, the script uses a strict request.security(..., lookahead_off, gaps_off) pipeline. If HTF data is unavailable, outputs are na—no silent fallback to chart timeframe. A separate "HTF Alignment (lagged)" plot shows the prior HTF close (htf_price ) as visual proof of no look-ahead. Volatility Source & Scaling If "Use Historical Volatility" is enabled, volatility is estimated from log returns on the selected resolution (HTF if set, otherwise chart). Annualization adapts to session type: Equities: 6.5 hours/day, 252 trading days/year Crypto: 24 hours/day, 365 days/year Substeps increase path smoothness within the same one-bar horizon—they do not extend the forecast to multiple bars. Key Inputs • Prob Up / Prob Down — Must satisfy Prob Up + Prob Down ≤ 1.0. If violated, simulation is skipped and table shows "✗ PROB>1". • # Simulations / # Substeps — Higher = smoother/more stable, but slower. Default 100×100 is a good balance. • Lower/Upper Percentile — Define the band width (e.g., 5 and 95 for a 90% distribution band). • Run On Last Bar Only — Performance mode (recommended). Skips historical computation; updates on each new confirmed bar. • Resolution (HTF) — Leave blank for chart timeframe, or set to Weekly/Monthly for HTF-aligned simulation. • Crypto 24/7 Session? — Enable for crypto markets to use correct annualization (365d, 24h). How to Use (Quickstart) Start with defaults and keep Run On Last Bar Only = true for speed. Set Prob Up and Prob Down so their sum ≤ 1.0 (e.g., 0.5 + 0.5 = 1.0 for neutral). Enable "Use Historical Volatility" and set a Volatility Lookback (e.g., 20 bars) for data-driven vol. Set Resolution (HTF) if you want the model to run on higher timeframe data (e.g., 1W). Expect updates only when a new HTF interval starts. Choose percentiles (e.g., 5 and 95) to define your distribution band width. Enable alerts for "Price Above Upper Percentile" or "Price Below Lower Percentile" to get notified of breakouts. Limitations & Disclosures Forecast horizon is one bar only. Substeps do not create a multi-bar forecast. Model uses uniform shocks with direction chosen from Prob Up/Down. This is not Geometric Brownian Motion (GBM) and is not calibrated to any option-implied distribution. Bounds are percentiles of final simulated prices, not a statistical confidence interval of the mean. HTF mode updates at the start of a new HTF interval (first chart bar where the HTF timestamp changes), so the band appears "step-like" in realtime. Historical volatility requires enough bars for the selected lookback; until then, values may be na. Performance depends on Sims × Substeps; extreme settings (e.g., 500×500) can be slow. This indicator does not predict direction—it shows a probabilistic range based on your inputs.
Indikator Pine Script®
oleh actemplet
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator OVERVIEW The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions. IT has a dashboard that shows you: Where the trend might be heading (through the oscillator) What option strikes align with the current price level When trend transitions occurred CONCEPTS This indicator combines several technical analysis concepts in a beginner-friendly format: 1. Trend Observation (Chandelier Exit) The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions. 2. Smoothed Price Movement Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction. 3. Momentum Oscillator The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works. 4. Strike Price Calculation For option traders , the indicator automatically calculates: ATM (At-The-Money): The strike price closest to the current underlying price OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings These calculations use standard rounding methods based on each instrument's official strike interval. FEATURES Visual Components: Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend Histogram Display: Visual bars showing momentum strength Chandelier Exit Lines: Plotted on the main price chart as reference levels Information Table: Displays calculated strikes, timestamps, and optional tracking data Supported Instruments: Major indices: NIFTY, BANKNIFTY Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more Any NSE instrument (using manual strike interval setting) Flexible Configuration: Choose between "Sell Mode" and "Buy Mode" perspectives Customize strike interval for any instrument Adjust sensitivity of trend detection Modify visual appearance (colors, table position, text size) Track entry prices and observe P&L calculations (for reference only) Features: Automatic strike interval detection for predefined instruments Manual override option for custom requirements Real-time option premium fetching (where available) Timestamp recording of trend transitions Active trade highlighting based on current trend HOW TO USE Step 1: Adding the Indicator Open your TradingView chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock) Search for " Dynamic Strike Selection Indicator " in the Indicators menu Click to add it to your chart You'll see an oscillator appear in a pane below your price chart and a table in the corner Step 2: Basic Settings Click the settings (gear icon) on the indicator. Here are the key settings to understand: Symbol Settings: Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart Expiry Date: Set the expiry date of the option contracts you're observing Use the dropdown menus for Day, Month, and Year Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25 Trade Entry (Optional): Trade Mode: Choose "Sell" or "Buy" based on your observation perspective Lot Size: Enter your intended lot size for P&L calculation reference PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L OTM Strike Distance: Default is 4 (means 4 strikes away from ATM) Increase for further OTM strikes, decrease for closer strikes Step 3: Understanding the Display The Oscillator (Lower Pane): Green/Teal Bars: Suggest bullish momentum characteristics Purple/Red Bars: Suggest bearish momentum characteristics Zero Line: The reference point - above suggests strength, below suggests weakness Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition Active Row Highlighting: In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend This helps you observe which strike aligns with the current trend direction Visual Customization: Change oscillator colors under "Color Settings" Adjust table position, size, and transparency under "Table Settings" Modify table colors to match your chart theme NOTES FOR BEGINNERS Start Simple: Use default settings first. Don't change too many parameters initially. Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align. Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50. Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart. Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis. Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move. Backtest Observations: Use TradingView's replay feature to observe how the indicator performed historically. CONCLUSION The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references. The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools. DISCLAIMER This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service. What This Indicator Does NOT Do: Does not predict future price movements with certainty Does not guarantee profitable trades or outcomes Does not constitute financial, investment, or trading advice Does not replace the need for independent research and analysis Does not eliminate trading risks or ensure success What You Must Understand: All calculated strikes, P&L values, and trend observations are informational references only Option trading involves substantial risk and can result in complete loss of invested capital Past indicator performance does not predict future results Trend transitions shown are historical observations, not predictions The "active" highlighting is a visual reference tool, not a trade recommendation Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice. The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
Indikator Pine Script®
oleh ARJO_2019
TTM SqueezeUpdated TTM Squeeze — Correct AND Logic John Carter’s classic TTM Squeeze. There is one on here already, but it is using an OR‑based condition. The proper logic is AND for a true volatility squeeze. Both the Keltner Channel lower band and upper band must sit fully inside the Bollinger Bands. Using AND logic ensures the squeeze only triggers when volatility is genuinely compressed, producing a more accurate and reliable signal than the default implementation.
Indikator Pine Script®
oleh followmytradingjournal
Quantum Regression Oscillator [ICN]The Problem: The Lag of Standard Oscillators Most traders rely on the Relative Strength Index (RSI) or MACD to gauge momentum. While these are legendary tools, they suffer from a critical flaw: Lag. They calculate what has happened, often giving signals after the move is already halfway done. The Quantum Regression Oscillator (QRO) was built to solve this. It is not a simple average; it is a predictive engine. The "Quantum" Math (How It Works) Instead of using standard smoothing (like SMA or EMA) which drags data backward, the QRO uses Linear Regression Analysis on the RSI data itself. Linear Regression Core : The script calculates the "Line of Best Fit" for momentum in real-time. This allows the oscillator to react to price changes faster than price itself in some instances, effectively "predicting" the next tick of momentum. Dynamic Volatility Bands : Unlike fixed bands (e.g., 70/30 on RSI), the QRO uses standard deviation bands that expand and contract with market volatility. This means "Overbought" is not a fixed number—it adapts to the market's energy. Visual Guide : Reading the Oscillator 1. The Quantum Line (The Main Curve) What it is : The smooth, fast-moving line oscillating between 0 and 100. How to read it: Crossing Midline (50) : The baseline for trend. Above 50 is Bullish Momentum; Below 50 is Bearish Momentum. Slope : Because it uses regression, the angle of the line is a signal itself. A sharp turn often precedes price action. 2. The Dynamic Bands (The Shaded Zones) What they are: The Blue (Lower) and Red (Upper) zones. How to read it: Oversold (Blue Zone) : When the line enters the Blue zone, price is statistically overextended to the downside. This is a "Sniper Buy" zone. Overbought (Red Zone) : When the line enters the Red zone, price is statistically overextended to the upside. This is a "Sniper Sell" zone. 3. Divergence Detection The QRO is excellent at spotting divergences. If Price makes a Higher High but the QRO makes a Lower High (while in the Red Zone), a reversal is mathematically probable. Integration with the ICN Suite While this oscillator is powerful as a standalone tool, it is the "Engine" behind the Institutional Confluence Nexus . Standalone : Use it to spot divergences and momentum shifts with zero lag. With ICN : The main chart indicator reads data from this oscillator to generate "Sniper" and "Pullback" signals automatically. Settings & Customization QRO Length: The lookback period for the base RSI calculation. Regression Length: The sensitivity of the linear regression curve (Lower = Faster/More Noise, Higher = Smoother/More Lag). Smoothing: Additional filtering to remove market noise. For Developers (Open Source) I believe in the power of open-source education. Developers can view the source code to learn: How to implement ta.linreg (Linear Regression) on top of other indicators. How to create dynamic bands using ta.stdev (Standard Deviation). How to create smooth color gradients using plot transparency. Disclaimer: This tool is a mathematical aid for technical analysis. It does not predict the future. Always use proper risk management.
Indikator Pine Script®
oleh abgthecoder
Volatility Breakout System [Fixed Risk] This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX). Strategy Logic: Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range. Trend Filter: Trades are only taken in the direction of the 200 EMA. Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets. Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average. Risk Management (Automated): Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility. Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits. Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital. Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal. Backtesting Notes: This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection. Inputs: You can toggle the "Compounding" feature to test fixed cash vs. % equity growth. Webhooks are fully configurable for alert automation.
Strategi Pine Script®
oleh debdaspt85
11
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM) OVERVIEW Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CORE PROBLEM THIS INDICATOR ADDRESSES Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context). SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow: LAYER 1: MOMENTUM FUEL GAUGE This answers the question: "Does the current move still have energy?" After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors: Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range. Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher. Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation. Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime. These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where: - Above 70% = Strong momentum (green) - 40-70% = Moderate momentum (amber) - Below 40% = Weak momentum (red) - Below 20% = Exhausted (triggers EXIT warning) The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate. IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy. LAYER 2: TRAP ZONE DETECTION This answers the question: "Am I walking into a potential reversal area?" Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points: How it works: 1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot). 2. Recent swing points are stored (up to 10 of each type). 3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR. 4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones. 5. A Confluence Score is calculated based on cluster density and proximity to current price. The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal. CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data. LAYER 3: VELOCITY ANALYSIS This answers the question: "Is price moving favorably right now?" Velocity measures how fast price is currently moving compared to its recent average: Calculation: - Current velocity = Absolute price change from previous bar divided by ATR - Average velocity = Simple moving average of velocity over the lookback period - Velocity ratio = Current velocity divided by average velocity Classification: - FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays. - NORMAL (ratio 0.5 to 1.5) : Typical price movement speed. - SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult. The velocity score contributes 18% to the overall quality score calculation. LAYER 4: SESSION AWARENESS This answers the question: "Is this a good time to trade?" Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment: Session Times (all in UTC): - A sia Session : 00:00 - 08:00 UTC - London Session : 08:00 - 16:00 UTC - New York Session : 13:00 - 21:00 UTC - London/NY Overlap : 13:00 - 16:00 UTC - Off-Peak : Outside major sessions Session Quality Weighting: - Overlap : 100 points (highest liquidity, best movement) - London : 85 points - New York : 80 points - Asia : 50 points (tends to range more) - Off-Peak : 30 points (lower liquidity, more false signals) The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours. Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing. LAYER 5: VOLATILITY REGIME ADAPTATION This answers the question: "How should I adjust for current market conditions?" SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market: HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections. NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply. LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility. This adaptation prevents false signals during erratic markets and missed signals during quiet markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE SYNERGY: WHY THIS COMBINATION MATTERS These five layers are not independent indicators placed on one chart. They form an interconnected system: - A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime). - The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals. - Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones. - The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals. - Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours. This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE QUALITY SCORE IS CALCULATED The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short): For Long Quality Score: - Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise - Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20) - Velocity Component (18% weight) : Direct velocity score - Session Component (17% weight) : Current session quality score - Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA For Short Quality Score: - Same structure but reversed (bearish impulse direction, trap zone above, price below SMA) The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL TYPES AND WHAT THEY MEAN SPM generates four types of signals, each with specific visual representation: PRIME SIGNALS (Cyan Diamond) These represent the highest quality confluence. Requirements: - Quality score crosses above the Prime threshold (default 80) - Bias aligns with signal direction - Fuel is sufficient (above 40%) - Session is active (not off-peak) - Cooldown period has passed Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above. STANDARD SIGNALS (Green Triangle Up / Red Triangle Down) These represent good quality setups. Requirements: - Quality score crosses above the Standard threshold (default 75) but below Prime - Same bias, fuel, and cooldown requirements as Prime Standard signals appear as small triangles in green (long) or red (short). CAUTION SIGNALS (Small Faded Circle) These represent minimum threshold setups. Requirements: - Quality score crosses above the Caution threshold (default 65) but below Standard - Same additional requirements Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions. EXHAUSTION SIGNAL (Purple X with "EXIT" text) This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to: - Consider exiting existing positions - Avoid entering new trades in the current direction - Wait for new momentum to develop All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ READING THE CHART ELEMENTS TRAP ZONES (Red Dashed Box with "TRAP XX%" Label) These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity. How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it. ENTRY ZONES (Green Solid Box with "ENTRY" Label) These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance). How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur. TARGET ZONES (Blue Dotted Box with "TARGET" Label) These project potential take-profit areas based on ATR multiples, adjusted for: - Current volatility regime (wider in high volatility, tighter in low) - Impulse direction (larger targets when aligned with impulse) - Nearby trap zones (targets adjust to avoid placing TP inside trap zones) How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably. STOP LEVEL (Orange Dashed Line with "STOP" Label) This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists). How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level. Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE DASHBOARD (Top Right Panel) The main dashboard provides comprehensive market context: Row 1 - Header: - "SPM " : Indicator name - Market State : Current overall condition Market States Explained: - PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities. - READY : Good conditions. Quality score meets standard threshold. Solid setups available. - WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended. - AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals. - EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting. Row 2-3 - Quality Bars: - " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty) - " DN ########## " : Visual meter for short quality - The number on the right shows the exact quality score Row 4 - Bias: - Shows current directional lean: LONG, SHORT, or NEUTRAL - Color-coded: Green for long, red for short, gray for neutral Rows 5-7 (Full Mode Only) - Trade Levels: - Entry : Suggested entry price for current bias direction - Stop : Suggested stop-loss price - Target : Projected take-profit price Row 8 - Risk:Reward Ratio: - Format : "1:X.X" where X.X is the reward multiple - Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1 Row 9 - Fuel: - Shows percentage and estimated bars remaining in parentheses - Example : "72% (8)" means 72% fuel with approximately 8 bars remaining - Color-coded : Green above 70%, amber 40-70%, red below 40% Row 10-11 (Full Mode Only) - Market Conditions: - Vol : Current volatility regime (HIGH/NORMAL/LOW) - Speed : Current velocity zone (FAST/NORMAL/SLOW) Row 12 - Session: - Shows active trading session - Color-coded by session type Row 13 (Full Mode Only) - Remaining: - Time remaining in current session (hours and minutes) Row 14 (Conditional) - Trap Warning: - Appears when a significant trap zone exists in your bias direction - Shows direction (ABOVE/BELOW) and confluence percentage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE QUICK PANEL (Bottom Left) The Quick Panel provides essential information at a glance without looking away from price action: Row 1: Current Bias and Quality Score (large text for quick reading) Row 2: Market State Row 3: Fuel Percentage Row 4: Estimated Bars Remaining Row 5: Risk:Reward Ratio Row 6: Current Session Both panels can be repositioned using the settings, and each can be toggled on/off independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS EXPLAINED CORE SETTINGS: Analysis Lookback (Default: 20) Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise. Swing Detection Length (Default: 5) Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones). Impulse Sensitivity (Default: 1.5) Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant. SIGNAL SETTINGS: Prime/Standard/Caution Thresholds (Defaults: 80/75/65) These control the quality score required for each signal tier. You can adjust these based on your preference: - More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals - More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality Signal Cooldown (Default: 8 bars) Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh. Show Prime/Standard/Caution/Exhaustion Signals Toggle each signal type on or off based on your preference. ZONE DISPLAY: Show Trap Zones / Entry Zones / Target Zones / Stop Levels Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter. Zone Transparency (Default: 88) Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent. Zone History (Default: 25 bars) How far back zone boxes extend on the chart. Purely visual preference. BACKGROUND: Background Mode (Options: Off, Subtle, Normal) Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely. Background Type (Options: Bias, Fuel) - Bias : Colors background based on current directional lean (green for long, red for short) - Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low) DASHBOARD / QUICK PANEL: Show Dashboard / Show Quick Panel Toggle each panel on or off. Compact Mode When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining. Position Settings Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. ALERTS: Alert Prime Signals / Standard Signals / Fuel Exhaustion Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES AND USAGE OPTIMAL TIMEFRAMES: - 1-minute to 5-minute : Best for active scalping with quick entries and exits - 5-minute to 15-minute : Balanced scalping with slightly more confirmation - 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes. BEST PRACTICES: 1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better. 2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny. 3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions. 4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level. 5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1). 6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results. 7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL EXAMPLE Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar. Before entering, you check the dashboard: - State shows "PRIME" - conditions are favorable - Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars) - R:R shows "1:2.3" - acceptable risk-to-reward ratio - Session shows "LONDON" - active session with good liquidity - No TRAP warning in dashboard - no immediate resistance cluster in your way - Entry zone visible on chart at a lower price level - Stop and Target zones clearly marked With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade. However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones. This multi-factor confirmation delivered in a single glance is what SPM provides. Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA WINDOW VALUES For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected): - Long Quality Score (0-100) - Short Quality Score (0-100) - Fuel Gauge (0-100%) - Risk:Reward Ratio These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NON-REPAINTING CONFIRMATION All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means: - Signals appear at the OPEN of the new bar (after the previous bar closes) - Signals will NEVER disappear once they appear - Signals will NEVER change position on historical bars - What you see in backtesting is what you would have seen in real-time The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMERS TERMINOLOGY CLARIFICATION: This indicator uses terms that might imply access to data it does not have. To be completely transparent: - "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels. - "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data. - "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success. - The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal. TRADING RISK WARNING: Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable. Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT - NOT A MASHUP Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis: - The Fuel Gauge decay model with its four-component weighted calculation - The Trap Zone cluster detection with confluence scoring - The multi-factor quality scoring system that integrates all layers - The trap-aware entry and target zone placement logic - The volatility regime adaptation across all components - The session weighting is integrated into the quality assessment The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For best results, combine SPM with your own market understanding and always practice proper risk management. -BullByte
Indikator Pine Script®
oleh BullByte
24
ALTINS1 Darphane Altin Sertifikasi Fair Value Tracker [ALPAY.B]This indicator displays the fair value of the Darphane Gold Certificate (ALTINS1) traded on Borsa Istanbul. It calculates the theoretical price based on 0.01 grams of Spot Gold (XAU/USD) converted to Turkish Lira (USD/TRY). This tool is essential for investors to monitor whether the certificate is trading at a significant premium or discount compared to its intrinsic gold value. Key Features: Real-time Fair Value calculation. Live Premium/Discount percentage tracking. Visual background warnings for overvalued conditions.
Indikator Pine Script®
oleh AlbayB
[GYTS] VolatilityToolkit LibraryVolatilityToolkit Library 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- INTRODUCTION --------- 🌸 💮 What Does This Library Contain? VolatilityToolkit provides a comprehensive suite of volatility estimation functions derived from academic research in financial econometrics. Rather than relying on simplistic measures, this library implements range-based estimators that extract maximum information from OHLC data — delivering estimates that are 5–14× more efficient than traditional close-to-close methods. The library spans the full volatility workflow: estimation, smoothing, and regime detection. 💮 Key Categories • Range-Based Estimators — Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang (academically-grounded variance estimators) • Classical Measures — Close-to-Close, ATR, Chaikin Volatility (baseline and price-unit measures) • Smoothing & Post-Processing — Asymmetric EWMA for differential decay rates • Aggregation & Regime Detection — Multi-horizon blending, MTF aggregation, Volatility Burst Ratio 💮 Originality To the best of our knowledge, no other TradingView script combines range-based estimators (Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang), classical measures, and regime detection tools in a single package. Unlike typical volatility implementations that offer only a single method, this library: • Implements four academically-grounded range-based estimators with proper mathematical foundations • Handles drift bias and overnight gaps, issues that plague simpler estimators in trending markets • Integrates with GYTS FiltersToolkit for advanced smoothing (10 filter types vs. typical SMA-only) • Provides regime detection tools (Burst Ratio, MTF aggregation) for systematic strategy integration • Standardises output units for seamless estimator comparison and swapping 🌸 --------- ADDED VALUE --------- 🌸 💮 Academic Rigour Each estimator implements peer-reviewed methodologies with proper mathematical foundations. The library handles aspects that are easily missed, e.g. drift independence, overnight gap adjustment, and optimal weighting factors. All functions include guards against edge cases (division by zero, negative variance floors, warmup handling). 💮 Statistical Efficiency Range-based estimators extract more information from the same data. Yang-Zhang achieves up to 14× the efficiency of close-to-close variance, meaning you can achieve the same estimation accuracy with far fewer bars — critical for adapting quickly to changing market conditions. 💮 Flexible Smoothing All estimators support configurable smoothing via the GYTS FiltersToolkit integration. Choose from 10 filter types to balance responsiveness against noise reduction: • Ultimate Smoother (2-Pole / 3-Pole) — Near-zero lag; the 3-pole variant is a GYTS design with tunable overshoot • Super Smoother (2-Pole / 3-Pole) — Excellent noise reduction with minimal lag • BiQuad — Second-order IIR filter with quality factor control • ADXvma — Adaptive smoothing based on directional volatility • MAMA — Cycle-adaptive moving average • A2RMA — Adaptive autonomous recursive moving average • SMA / EMA — Classical averages (SMA is default for most estimators) Using Infinite Impulse Response (IIR) filters (e.g. Super Smoother, Ultimate Smoother) instead of SMA avoids the "drop-off artefact" where volatility readings crash when old spikes exit the window. 💮 Plug-and-Play Integration Standardised output units (per-bar log-return volatility) make it trivial to swap estimators. The annualize() helper converts to yearly volatility with a single call. All functions work seamlessly with other GYTS components. 🌸 --------- RANGE-BASED ESTIMATORS --------- 🌸 These estimators utilise High, Low, Open, and Close prices to extract significantly more information about the underlying diffusion process than close-only methods. 💮 parkinson() The Extreme Value Method -- approximately 5× more efficient than close-to-close, requiring about 80% less data for equivalent accuracy. Uses only the High-Low range, making it simple and robust. • Assumption: Zero drift (random walk). May be biased in strongly trending markets. • Best for: Quick volatility reads when drift is minimal. • Parameters: smoothing_length (default 14), filter_type (default SMA), smoothing_factor (default 0.7) Source: Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61–65. DOI 💮 garman_klass() Extends Parkinson by incorporating Open and Close prices, achieving approximately 7.4× efficiency over close-to-close. Implements the "practical" analytic estimator (σ̂²₅) which avoids cross-product terms whilst maintaining near-optimal efficiency. • Assumption: Zero drift, continuous trading (no gaps). • Best for: Markets with minimal overnight gaps and ranging conditions. • Parameters: smoothing_length (default 14), filter_type (default SMA), smoothing_factor (default 0.7) Source: Garman, M.B. & Klass, M.J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67–78. DOI 💮 rogers_satchell() The drift-independent estimator correctly isolates variance even in strongly trending markets where Parkinson and Garman-Klass become significantly biased. Uses the formula: ln(H/C)·ln(H/O) + ln(L/C)·ln(L/O). • Key advantage: Unbiased regardless of trend direction or magnitude. • Best for: Trending markets, crypto (24/7 trading with minimal gaps), general-purpose use. • Parameters: smoothing_length (default 14), filter_type (default SMA), smoothing_factor (default 0.7) Source: Rogers, L.C.G. & Satchell, S.E. (1991). Estimating Variance from High, Low and Closing Prices. Annals of Applied Probability, 1 (4), 504–512. DOI 💮 yang_zhang() The minimum-variance composite estimator — both drift-independent AND gap-aware. Combines overnight returns, open-to-close returns, and the Rogers-Satchell component with optimal weighting to minimise estimator variance. Up to 14× more efficient than close-to-close. • Parameters: lookback (default 14, minimum 2), alpha (default 1.34, optimised for equities). • Best for: Equity markets with significant overnight gaps, highest-quality volatility estimation. • Note: Unlike other estimators, Yang-Zhang does not support custom filter types — it uses rolling sample variance internally. Source: Yang, D. & Zhang, Q. (2000). Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. Journal of Business, 73 (3), 477–491. DOI 🌸 --------- CLASSICAL MEASURES --------- 🌸 💮 close_to_close() Classical sample variance of logarithmic returns. Provided primarily as a baseline benchmark — it is approximately 5–8× less efficient than range-based estimators, requiring proportionally more data for the same accuracy. • Parameters: lookback (default 14), filter_type (default SMA), smoothing_factor (default 0.7) • Use case: Comparison baseline, situations requiring strict methodological consistency with academic literature. 💮 atr() Average True Range -- measures volatility in price units rather than log-returns. Directly interpretable for stop-loss placement (e.g., "2× ATR trailing stop") and handles gaps naturally via the True Range formula. • Output: Price units (not comparable across different price levels). • Parameters: smoothing_length (default 14), filter_type (default SMA), smoothing_factor (default 0.7) • Best for: Position sizing, trailing stops, any application requiring volatility in currency terms. Source: Wilder, J.W. (1978). New Concepts in Technical Trading Systems . Trend Research. 💮 chaikin_volatility() Rate of Change of the smoothed trading range. Unlike level-based measures, Chaikin Volatility shows whether volatility is expanding or contracting relative to recent history. • Output: Percentage change (oscillates around zero). • Parameters: length (default 10), roc_length (default 10), filter_type (default EMA), smoothing_factor (default 0.7) • Interpretation: High values suggest nervous, wide-ranging markets; low values indicate compression. • Best for: Detecting volatility regime shifts, breakout anticipation. 🌸 --------- SMOOTHING & POST-PROCESSING --------- 🌸 💮 asymmetric_ewma() Differential smoothing with separate alphas for rising versus falling volatility. Allows volatility to spike quickly (fast reaction to shocks) whilst decaying slowly (stability). Essential for trailing stops that should widen rapidly during turbulence but narrow gradually. • Parameters: alpha_up (default 0.1), alpha_down (default 0.02). • Note: Stateful function — call exactly once per bar. 💮 annualize() Converts per-bar volatility to annualised volatility using the square-root-of-time rule: σ_annual = σ_bar × √(periods_per_year). • Parameters: vol (series float), periods (default 252 for daily equity bars). • Common values: 365 (crypto), 52 (weekly), 12 (monthly). 🌸 --------- AGGREGATION & REGIME DETECTION --------- 🌸 💮 weighted_horizon_volatility() Blends volatility readings across short, medium, and long lookback horizons. Inspired by the Heterogeneous Autoregressive (HAR-RV) model's recognition that market participants operate on different time scales. • Default horizons: 1-bar (short), 5-bar (medium), 22-bar (long). • Default weights: 0.5, 0.3, 0.2. • Note: This is a weighted trailing average, not a forecasting regression. For true HAR-RV forecasting, it would be required to fit regression coefficients. Inspired by: Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics . 💮 volatility_mtf() Multi-timeframe aggregation for intraday charts. Combines base volatility with higher-timeframe (Daily, Weekly, Monthly) readings, automatically scaling HTF volatilities down to the current timeframe's magnitude using the square-root-of-time rule. • Usage: Calculate HTF volatilities via request.security() externally, then pass to this function. • Behaviour: Returns base volatility unchanged on Daily+ timeframes (MTF aggregation not applicable). 💮 volatility_burst_ratio() Regime shift detector comparing short-term to long-term volatility. • Parameters: short_period (default 8), long_period (default 50), filter_type (default Super Smoother 2-Pole), smoothing_factor (default 0.7) • Interpretation: Ratio > 1.0 indicates expanding volatility; values > 1.5 often precede or accompany explosive breakouts. • Best for: Filtering entries (e.g., "only enter if volatility is expanding"), dynamic risk adjustment, breakout confirmation. 🌸 --------- PRACTICAL USAGE NOTES --------- 🌸 💮 Choosing an Estimator • Trending equities with gaps: yang_zhang() — handles both drift and overnight gaps optimally. • Crypto (24/7 trading): rogers_satchell() — drift-independent without the lag of Yang-Zhang's multi-period window. • Ranging markets: garman_klass() or parkinson() — simpler, no drift adjustment needed. • Price-based stops: atr() — output in price units, directly usable for stop distances. • Regime detection: Combine any estimator with volatility_burst_ratio(). 💮 Output Units All range-based estimators output per-bar volatility in log-return units (standard deviation). To convert to annualised percentage volatility (the convention in options and risk management), use: vol_annual = annualize(yang_zhang(14), 252) // For daily bars vol_percent = vol_annual * 100 // Express as percentage 💮 Smoothing Selection The library integrates with FiltersToolkit for flexible smoothing. General guidance: • SMA: Classical, statistically valid, but suffers from "drop-off" artefacts when spikes exit the window. • Super Smoother / Ultimate Smoother / BiQuad: Natural decay, reduced lag — preferred for trading applications. • MAMA / ADXvma / A2RMA: Adaptive smoothing, sometimes interesting for highly dynamic environments. 💮 Edge Cases and Limitations • Flat candles: Guards prevent log(0) errors, but single-tick bars produce near-zero variance readings. • Illiquid assets: Discretisation bias causes underestimation when ticks-per-bar is small. Use higher timeframes for more reliable estimates. • Yang-Zhang minimum: Requires lookback ≥ 2 (enforced internally). Cannot produce instantaneous readings. • Drift in Parkinson/GK: These estimators overestimate variance in trending conditions — switch to Rogers-Satchell or Yang-Zhang. Note: This library is actively maintained. Suggestions for additional estimators or improvements are welcome.
Perpustakaan Pine Script®
oleh GoemonYae
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions. ──────────────────── 📌 Included Components 1️⃣ Volatility-Based Stress Filter (Vix Fix) Detects short-term market panic using relative price movement. Signals are generated only during periods of elevated volatility or market stress. 2️⃣ Moving Average Deviation (MA Deviation) Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average. Supported MA types: • EMA • SMA • RMA • VWMA • WMA • TEMA 3️⃣ TRMAD (True Range Mean Absolute Deviation) Measures the distance of price from its mean relative to current volatility. Useful for filtering extreme price moves and reducing false signals. ──────────────────── 📈 Trading Signals Buy Signal: • Elevated market volatility • Price significantly below the moving average • TRMAD below the defined threshold Sell Signal: • Elevated market volatility • Price significantly above the moving average • TRMAD above the defined threshold Signals are visualized directly on the chart: • Buy: green label below the candle • Sell: red label above the candle ──────────────────── ⚙️ Settings & Customization All components are fully adjustable: • Lookback periods • Moving average types and lengths • Volatility and threshold levels This makes the indicator suitable for: • Intraday trading • Swing trading • Crypto, Forex, indices, and equities ──────────────────── Disclaimer This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Indikator Pine Script®
oleh DotGain
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends. Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time. Idea ATM is built around a single concept: Directional pressure is best understood by weighting trend strength against directional imbalance . To achieve this, the indicator transforms trend strength into two opposing pressure measures: Bull Pressure Index Bear Pressure Index These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes. How It Works 1. Bull & Bear Pressure Indices ATM derives two pressure curves by weighting trend strength against directional imbalance: The Bull Pressure Index increases when upward pressure strengthens. The Bear Pressure Index increases when downward pressure strengthens. Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases. Optional smoothing can be applied to reduce noise and improve readability. 2. Compression / Squeeze Detection When: Trend strength weakens, Bull and Bear pressure converge, And convergence continues over time, ATM highlights a compression zone, signaling reduced directional conviction. These zones often precede directional expansion once pressure rebuilds. 3. Adaptive Trend Context An adaptive smoothed price curve is displayed on the chart to provide trend context. Color changes reflect short-term directional shifts, helping align pressure signals with price structure. This component is contextual only and does not generate signals by itself. 4. Optional Trend Bias Reference An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend. 5. Step-Based Visualization The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations. How to Use ATM Rising Bull Pressure → strengthening buyer commitment Rising Bear Pressure → strengthening seller commitment Wide separation between indices → strong directional trend Convergence with compression highlight → range or pre-breakout environment Notes ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs. All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script. ATM is effective when used to assess participation quality, not as a standalone signal generator. Disclaimer This indicator is intended for analysis and educational purposes only. It does not generate buy or sell signals. Always apply proper risk management. Happy Trading.
Indikator Pine Script®
oleh ARJO_2019
Aurora Volatility Bands [JOAT]Aurora Volatility Bands - Dynamic ATR-Based Envelope System Introduction and Purpose Aurora Volatility Bands is an open-source overlay indicator that creates multi-layered volatility envelopes around price using ATR (Average True Range) calculations. The core problem this indicator solves is that static bands (like fixed percentage envelopes) fail to adapt to changing market conditions. During high volatility, static bands are too tight; during low volatility, they're too wide. This indicator addresses that by using ATR-based dynamic bands that automatically expand during volatile periods and contract during quiet periods, providing contextually appropriate support/resistance levels at all times. Why These Components Work Together The indicator combines three analytical approaches: 1. Triple-Layer Band System - Inner (1x ATR), Outer (2x ATR), and Extreme (3x ATR) bands provide graduated levels of significance 2. Volatility State Detection - Compares current ATR to historical average to classify market regime 3. Multiple MA Types - Allows customization of the center line calculation method These components complement each other: The triple-layer system gives traders multiple reference points - inner bands for normal moves, outer for significant moves, extreme for rare events Volatility state detection tells you WHEN bands are expanding or contracting, helping anticipate breakouts or mean-reversion MA type selection lets you match the indicator to your trading style (faster EMA vs smoother SMA) How the Calculation Works The bands are calculated using ATR multiplied by configurable factors: float atr = ta.atr(atrPeriod) float innerUpper = centerMA + (atr * innerMult) float outerUpper = centerMA + (atr * outerMult) float extremeUpper = centerMA + (atr * extremeMult) Volatility state is determined by comparing current ATR percentage to its historical average: float atrPercent = (atr / close) * 100 float avgAtrPercent = ta.sma(atrPercent, volatilityLookback) float volatilityRatio = atrPercent / avgAtrPercent bool isExpanding = volatilityRatio > 1.2 // 20%+ above average bool isContracting = volatilityRatio < 0.8 // 20%+ below average Signal Types Band Touch - Price reaches inner, outer, or extreme bands Mean Reversion - Price returns to center after touching outer/extreme bands Breakout - Sustained move beyond outer bands during volatility expansion Dashboard Information Volatility - Current state (EXPANDING/CONTRACTING/NORMAL) Vol Ratio - Current volatility vs average (e.g., 1.5x = 50% above average) ATR - Current ATR value ATR % - ATR as percentage of price Zone - Current price position (EXTREME HIGH/UPPER ZONE/CENTER ZONE/etc.) Position - Price position as percentage within band structure Width - Total band width as percentage of price Using SMA in settings: How to Use This Indicator For Mean-Reversion Trading: 1. Wait for price to touch outer or extreme bands 2. Check that volatility state is NORMAL or CONTRACTING (not expanding) 3. Look for reversal candlestick patterns at the band 4. Enter toward center MA with stop beyond the band For Breakout Trading: 1. Wait for volatility state to show EXPANDING 2. Look for price closing beyond outer bands 3. Enter in direction of breakout 4. Use the band as trailing stop reference For Volatility Analysis: 1. Monitor volatility ratio for regime changes 2. CONTRACTING often precedes large moves (squeeze) 3. EXPANDING confirms trend strength Using VWMA and Mean Reversion Signal/MR: Input Parameters ATR Period (14) - Period for ATR calculation Inner/Outer/Extreme Multipliers (1.0/2.0/3.0) - Band distance from center MA Type (EMA) - Center line calculation method MA Period (20) - Period for center line Volatility Comparison Period (20) - Lookback for volatility state Timeframe Recommendations 15m-1H: Good for intraday mean-reversion 4H-Daily: Best for swing trading and breakout identification Weekly: Useful for position trading and major level identification Limitations ATR-based bands lag during sudden volatility spikes Mean-reversion signals can fail in strong trends Breakout signals may whipsaw in ranging markets Works best on liquid instruments with consistent volatility patterns Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Band touches do not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Options Liquidity Meter (OLM)❓ The question behind this indicator When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated. This typically happens when one or more of the following conditions is missing: Insufficient liquidity participation Lack of volatility expansion Weak or passive order flow Options Liquidity Meter (OLM) was created to address this specific question: “If price moves from here, are there conditions for option premiums to actually expand?” 🎯 What this indicator does Options Liquidity Meter is a context tool, not a trading system. It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines: Liquidity (Relative Volume) Measures whether price movement is supported by meaningful participation. Volatility State Identifies compression, release, and expansion phases, where options tend to respond differently. Order Flow Activity (OBV-based) Acts as a proxy for active vs. passive participation, helping filter hollow moves. These components are combined into a single, easy-to-read options context. 🟢🟡🔴 Options Context Output The indicator displays one consolidated state: RED — NO EXPANSION Price may move, but option premiums often do not respond. YELLOW — BUILDING Liquidity or volatility is developing. Conditions are improving but not fully aligned. GREEN — EXPANSION LIKELY Liquidity, volatility expansion, and active flow are aligned. This is a favorable environment for option premium expansion. The same logic is reflected visually through the background color and summarized in the dashboard. 📊 How to read the dashboard The dashboard shows: Liquidity: LOW / OK / HIGH Volatility: COMPRESSED / RELEASED / EXPANDING Order Flow: FLAT / ACTIVE Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational. 📍 Where to apply this indicator Options Liquidity Meter must be applied to the underlying asset chart, such as: Indices (SPY, SPX, QQQ, etc.) Stocks Futures ETFs It is not designed to be applied to option contracts themselves. The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior. Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility. 🧠 How to use it Use your own methodology to define: Direction Structure Entries and exits Use Options Liquidity Meter to evaluate: Whether the current environment supports option premium expansion If the context is RED, be cautious — price may move without rewarding options. If the context is GREEN, the environment is statistically more favorable for options responsiveness. 🔗 Complementary tools Options Liquidity Meter is designed to complement, not replace, other tools. It works well alongside: Opening Path Selector (EMA200 Context Tool) For deciding which asset offers the cleanest directional context. Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels For in-chart structure, bias, and reference levels. Each tool addresses a different stage of the decision process and can be used independently. ⚠️ Important notes This indicator provides context only It does not generate trading signals No indicator guarantees results Use at your own risk.
Indikator Pine Script®
oleh mlicero
2
Open Interest Weighted Average Price [Arjo]Open Interest Weighted Average Price , or OIWAP , is a simple visual indicator that shows the average price of an asset based on changes in open interest . Instead of using trading volume like VWAP, this indicator gives more weight to prices where new futures contracts are being added or removed . This helps highlight the price levels where traders are actively building or closing positions. The indicator shows: A main line that represents the average price weighted by open interest changes. Upper and lower bands (standard deviation bands) that show how far the price moves away from this average. OIWAP is mainly useful for NSE futures markets , where open interest data is available. It helps traders visually understand where most market participation and positioning are taking place relative to price . Concepts: Applies statistical concepts, including weighted averaging and standard deviation, to open interest data Uses the absolute change in open interest as a weighting factor for each price point Creates a dynamic average that reflects where significant open interest activity has occurred during a given period Standard deviation bands are computed from this weighted average to show the statistical spread of prices around the OIWAP line Resets calculations based on user-selected time periods (daily, weekly, monthly, or session-based) Allows for fresh analysis at regular intervals Similar concept to volume-weighted average price (VWAP) indicators, but uses open interest changes as the weighting component Features: Weighted Average: Calculates a central line based on contract activity. Flexible Anchors: Allows users to choose the reset period for the calculation. Volatility Bands: Displays outer and mid-bands to visualize price stretches. Data Check: Built-in alerts notify you if Open Interest data is missing for a symbol. Visual Zones: Color-coded areas help identify price location at a glance. How To Use When you add the indicator to your chart, you will see: A main OIWAP line — the open-interest-weighted price level Mid-bands around the line (±0.5 standard deviations) Outer bands farther away (±2.0 standard deviations) Shaded background zones between these lines You can: Change the reset period to see how the average behaves over different time ranges Adjust the timeframe for open-interest data Turn mid-bands on or off Adjust colors and styles to improve readability Conclusion The OIWAP indicator serves as an educational tool for visualizing the relationship between price movements and open interest activity in futures markets Presents a weighted average price line along with statistical deviation bands Offers a structured framework for chart analysis Customizable settings allow users to adapt the display to their analytical preferences Maintains focus on visual interpretation rather than directional predictions Functions as a supplementary charting overlay that may complement other forms of technical and fundamental analysis Disclaimer This indicator is for educational and visual-analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
Indikator Pine Script®
oleh ARJO_2019
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior. The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback. How it works: VWMA deviation is calculated as the difference between price and the VWMA. That deviation is divided by ATR (Average True Range) to normalize for current volatility. The script tracks the highest and lowest normalized deviations over the chosen lookback period. It also tracks price structure (highest/lowest highs/lows) over the same period. A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms. You get visual signals and color highlights where these conditions occur. Settings explained: Lookback period defines how many bars the script uses to find recent extremes. ATR length controls how volatility is measured. VWMA length controls how the volume-weighted moving average is calculated. Signal filters help refine entries based on price vs deviation behavior. Display options let you customize how signals and levels appear on the chart. This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension. Tips for use: Combine with broader trend context (higher timeframe support/resistance). Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries. Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Indikator Pine Script®
oleh exploretranspose
2
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab Version: PineScript™ v6 📌 Description The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology. Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements. Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades. 🚀 Points of Innovation First indicator specifically designed for SMC-based post-trade review rather than live signal generation Dual-mode analysis system allowing both dynamic scrollback and precise date selection Expansion-aware classification algorithm that weighs range position against net displacement Real-time efficiency metrics calculating directional quality of price movement Integrated visual FVG detection within the analysis window only Interactive table with clickable date range adjustment via chart interface 🔧 Core Components Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone 🔥 Key Features Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar Date Range Mode: Select specific start and end timestamps for precise session or trade review Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period Efficiency Calculation: Net move divided by total range reveals trending quality versus chop 🎨 Visualization Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time Color-Coded States: Each classification uses distinct coloring for immediate visual recognition Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range 📖 Usage Guidelines General Configuration Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis. Sliding Window Settings Scroll Back (Bars): Default 0. Increase to move window backwards into history. Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis. Date Range Settings Start Date: Select the beginning timestamp for your analysis period. End Date: Select the ending timestamp for your analysis period. Visual Settings Show Help Tip: Default true. Toggle to hide instructional row in dashboard. Bullish Color: Default teal. Customize for bullish elements. Bearish Color: Default red. Customize for bearish elements. SMC Parameters Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings. ✅ Best Use Cases Post-trade review to understand why entries succeeded or failed Session analysis to identify institutional activity patterns Trade journaling with objective algorithmic classifications Pattern recognition training through historical scrollback Identifying whether stop hunts were inducements or legitimate breaks Comparing your real-time read versus what the algorithm detected ⚠️ Limitations Designed for historical analysis only, not live trade signals Classification accuracy depends on appropriate pivot length for the timeframe FVG detection uses simple gap logic without mitigation tracking State classification is based on window data only, not broader context Requires manual scrolling or date input to review different periods 💡 What Makes This Unique Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart 🔬 How It Works 1. Window Definition: User selects either Sliding Window or Date Range mode System calculates which bars fall within the active analysis zone Active zone receives blue background highlighting 2. Data Collection: Algorithm captures window open, running high, running low, and current close Structure breaks are detected when price crosses above last pivot high or below last pivot low Bullish and bearish events are counted separately 3. State Classification: Range Position calculates where close sits as percentage of high-low range Efficiency calculates net move divided by total range Hierarchical logic applies priority rules from Parabolic states down to Consolidation 4. Output Rendering: Dashboard table updates with State title, Analysis description, and Metrics Visual elements render within window only to keep chart clean Colors reflect bullish, bearish, or neutral classification 💡 Note: This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
Indikator Pine Script®
oleh PhenLabs
1
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Indikator Pine Script®
oleh AlphaExtract
10
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure. It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment. █ USAGE MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned? For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates. For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail. 🔹 The 4-State Model The indicator classifies markets into four distinct regimes: • Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation. • Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion. • Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing. • Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals. 🔹 Reading the Pressure Histogram The histogram displays the composite Pressure Score (range approximately -100 to +100): • Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported. • Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained. • Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise. 🔹 The 5-Stage Calculation MPR synthesizes five analytical stages into the final state: 1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price. 2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop. 3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption. 4. Composite Pressure: Combines follow-through and compression into a single directional score. 5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering. █ SETTINGS Core Settings • ATR Length: Period for volatility normalization. Default 14. • Baseline Lookback: Period for compression and efficiency baselines. Default 20. • Volume Average Length: Period for stress calculation baseline. Default 20. State Classification • Release Threshold: Pressure score above this = Release. Default +5. • Suppressed Threshold: Pressure score below this = Suppressed. Default -5. • Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30. • Persistence Bars: Bars required to confirm state change. Default 3. • Stability Lookback: Period for stability calculation. Default 20. • Stability Threshold: Below this = forced Transition state. Default 0.5. Visual Settings • Show Pressure Histogram: Display the main pressure score histogram. • Show Zero Line: Display the zero reference line. • Show Background Tint: Subtle background color by state (default OFF). Data Window • Show Data Window Values: Export all calculated scores for analysis. █ INTERPRETATION GUIDE When to Use Trend Strategies (Release): • Histogram tall and positive • Teal coloring confirmed • Price making efficient higher highs or lower lows When to Use Mean Reversion (Suppressed): • Histogram flat or negative • Grey coloring confirmed • Price oscillating without follow-through When to Wait (Transition): • Amber coloring • Mixed signals — don't force trades • Wait for state to resolve When to Expect Reversals (Trap): • Magenta coloring • High volume moves that don't stick • Often occurs at structural inflection points █ COMPLEMENTARY TOOLS MPR pairs well with: • Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime • Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection • Market Efficiency Ratio (MER) — Validates follow-through quality █ SUITABLE MARKETS Works across all liquid markets: • Equities: SPY, QQQ, liquid single stocks • Futures: ES, NQ, CL, GC • Crypto: BTC, ETH • Forex: Major pairs Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions. █ OPEN SOURCE This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Indikator Pine Script®
oleh Interakktive
1