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ค้นหาในสคริปต์สำหรับ "adx"

ES 1m EMA Bounce Scalp - High RR v6# MES/ES 1-Minute EMA Bounce Scalp – High RR with Partial & Trailing (100% Win Rate in Backtest Oct 2025–Jan 2026) **Overview** This is a high-probability, mean-reversion / trend-continuation scalping system designed for the Micro E-mini S&P 500 (MES) or E-mini S&P 500 (ES) on the **1-minute chart**. It enters on pullback bounces off the 20-period EMA during intraday sessions, using RSI momentum confirmation, volume filter, and ADX trend strength to select high-quality setups. The core edge comes from: - Tight initial stop (4 points) - 50% partial profit at 1:1 RR (locks in quick wins and moves stop to breakeven) - Remaining 50% trails aggressively (trail offset 2 points) to let winners run to 8–10 points (1:2+ effective RR) **Key Features** - Longs & Shorts symmetric (pullback bounce logic) - Trades only during US RTH (9:30–16:00 ET) - Filters: RSI >40 (long) / <60 (short), volume > 20-SMA, ADX(14) >20 - No martingale, no pyramiding, one trade at a time - Bracket + trailing managed automatically in Pine Script **Backtest Highlights** (Oct 23, 2025 – Jan 21, 2026 on ES1!) - Total trades: 107 - Win rate: 100% (0 losers) - Net profit (1 contract): $20,227.50 after commissions - Commissions: $322.50 (~$3 round-trip) - Max open (floating) drawdown: –$3,275 (never realized a loss) - Avg P&L per trade: ~$189 (≈3.78 points net) - Longs: 45 trades, avg hold ~2.2 hours - Shorts: 62 trades, avg hold ~8.7 hours - Largest single win: scaled equivalent to strong runners **Risk & Position Sizing** - Initial stop: 4 points (~$200 risk on 1 ES mini / $20 on 1 MES) - Recommended live size: 1 ES contract (very conservative on $100k account) - Max floating DD in test: ~65 points open loss (well under typical $3,000 trailing DD rules) - Designed to respect strict drawdown limits — partials & trailing move most trades to breakeven quickly **Important Notes & Disclaimer** - 100% win rate over 107 trades is exceptional and likely period-specific (late-2025 bull/chop environment favored bounces + trailing). - Forward-test / paper trade required before live capital. Real slippage, news events, and execution delays may reduce performance. - Not financial advice. Past performance ≠ future results. Use at your own risk. - Best used with low-commission futures broker (Tradovate, AMP, IBKR, etc.) and 1-contract sizing to start. **How to Use** 1. Apply to MES1! or ES1! on 1-minute chart 2. Set alerts for entries (built-in strategy alerts work perfectly) 3. Forward-test in sim → monitor floating DD, hold times, and win consistency 4. Manual or webhook auto-execution (e.g., PickMyTrade/TradersPost for Tradovate) Happy to iterate based on forward-test results. Share your live stats! Cheers, Chris Brown (@hockeybrown2011)
กลยุทธ์ Pine Script®
โดย hockeybrown2011
1
Multi-Data Chart-AnalyticsDynamic Sentiment & Contextual Trend Analysis Function Description The Multi-Data Chart-Analytics is a comprehensive market context indicator designed to convert complex technical data into a readable, real-time narrative. Unlike traditional visual-only indicators, this script acts as an on-chart "trading assistant" that evaluates price action, momentum, volatility, and institutional volume simultaneously. Key Technical Features: Adaptive Trend Engine: Automatically scales its lookback period based on available historical data (up to 200 periods). This ensures accurate analysis for "young" assets or high timeframes (like BTC on Monthly charts) where standard fixed-length EMAs fail. Momentum & Feel Tracking: Integrates RSI and DMI (ADX) to determine if the market is overextended (expensive) or undervalued (cheap), and whether the trend has sufficient strength. Volatility Squeeze Detection: Monitors Bollinger Band width to alert users to "coiling" phases, signaling imminent breakouts. Institutional Volume Filter: Compares current volume against its 20-period moving average to identify "Smart Money" conviction. Who is this for? Discretionary Traders: Who want a quick "second opinion" or sanity check before entering a trade. Beginners: Who find it difficult to read multiple indicators at once; the terminal translates lines into actionable insights. Systematic Traders: Who need to maintain awareness of higher-timeframe context without cluttering their main chart window. How to Use It Look at the Environment: Start by checking the long-term trend status to ensure you aren't trading against the dominant market force. Verify Momentum: Check "Market Feel" to avoid buying at exhaustion points (Overbought) or selling at bottoms (Oversold). Prepare for Breakouts: Keep an eye on the "Volatility" section. If it indicates a "Squeeze," tighten your stops or prepare for a large move. Confirm with Smart Money: Only trust significant moves if the terminal confirms "Institutional Activity" is present. Customize: Use the settings menu to adjust the box width, colors, and font size to fit your personal chart layout. Technical Breakdown (Short Form) Trend: Adaptive EMA/SMA (max 200). Momentum: RSI (14) + ADX (14). Volatility: Bollinger Band Width (20). Volume: SMA (20) based Volume multiplier. You might want to use this script in combination with our "Range Indicator Golden Pocket" and "Multi Asset & Multi Timeframe Trend Dashoboard" and the "Risk & Reward Position Planner"
อินดิเคเตอร์ Pine Script®
โดย realmacgyver77
1
BERNA (Boundary-Encoded Resonance Network Architecture)BERNA — Boundary-Encoded Resonance Network Architecture BERNA is a research-grade indicator that estimates the remaining structural capacity of the current market regime. Unlike trend, volatility, or momentum tools, BERNA does not measure price direction — it measures how much of the regime’s internal capacity has already been consumed. This script implements the BERNA model published on Zenodo (Bülent Duman, 2026). It is intentionally minimal and uses only OHLC data. What BERNA measures BERNA outputs a structural capacity state: τ = Σ / Θ (normalized structural stress) Λ = Θ − Σ (remaining structural capacity) Interpretation: High Λ / low τ → the regime has structural endurance Rising τ → capacity is being consumed τ → 1 (Λ → 0) → rupture proximity (capacity exhaustion) This makes BERNA a forward-looking structural capacity variable, not a price oscillator. What is inside this script This implementation contains the following components: Efficiency proxy (DERYA-like, but not the full public DERYA) BERNA uses a simple microstructure efficiency proxy computed as: E = |close − open| / (high − low) This is conceptually “DERYA-like” but it is not the full DERYA framework. No external/public DERYA source code is embedded here. Standard technical primitives used This script uses only basic primitives commonly found in technical analysis: Absolute value and range normalization Thresholding (regime binning) Power transform on range (rng^p) There is no EMA, RSI, MACD, ATR, ADX, Fisher, Kaufman, or other indicator embedded. All computations are internal and deterministic. 3-state structural regime binning (K = 3) The efficiency proxy E is discretized into three regimes using user thresholds: Low efficiency Mid efficiency High efficiency Each regime has its own capacity Θ and stress multiplier β. Structural stress accumulation (Σ) and rupture proximity Stress increment is defined as: dΣ = β · (1 − E) · (range^p) Σ accumulates inside a regime and is capped by Θ. In this prototype, Σ resets on regime change by construction (regime-gated accumulation). The rupture proximity is expressed through τ and Λ. How to use BERNA BERNA is designed as a regime-health and fragility overlay, not a buy/sell trigger. Typical uses: Detect when an ongoing move is structurally late-stage (τ high, Λ low) Avoid initiating trades when capacity is nearly exhausted Compare structural resilience across assets and regimes Use alongside price/trend/volume systems for context Do not use BERNA alone as a trading signal. BERNA tells you “how much structure is left”, not “where price will go.” Visuals Efficiency (E) shows the bar-level microstructure efficiency proxy τ shows normalized structural stress (capacity consumption) Λ shows remaining structural capacity Dotted lines mark warning and critical rupture proximity levels Important notes BERNA is not RSI, MACD, ATR, ADX, Fisher, Kaufman, or a volatility model BERNA does not predict price direction BERNA does not issue entry/exit signals BERNA is a structural capacity diagnostic This script does not embed any external/public indicator code; all logic is implemented directly in Pine. Risk and disclaimer This script is provided for research and analytical purposes only. It is not financial advice and must not be used as a standalone trading system. Markets are uncertain. All trading decisions and risks remain entirely the responsibility of the user. BERNA: Boundary-Encoded Resonance Network Architecture A Structural Failure Theory of Financial Regimes Based on Endogenous Capacity Depletion Author: Duman, Bülent Affiliation: Independent Researcher Reference: zenodo.org
อินดิเคเตอร์ Pine Script®
โดย blntduman
GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts). Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market." Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter. How it works: Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates. Sniper Entries: SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle. SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle. Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways. Disclaimer: This tool is a "Shield" against chop. Do not use it during high-impact news. Based on volatility band logic.
อินดิเคเตอร์ Pine Script®
โดย FundedLab
Smart Wedge Pattern [The_lurker]🔺 Smart Wedge Pattern نموذج الوتد الذكي Advanced & Intelligent Wedge Detection Engine This is not a traditional indicator that simply draws wedge lines — it is a comprehensive intelligent engine (system) for detecting and analyzing wedge patterns (Rising & Falling Wedge) based on price geometry, market context, and statistical quality of the pattern. This indicator was designed to address the biggest problems in common wedge indicators: ❌ Too many false patterns ❌ Ignoring prior trend ❌ No real quality assessment for patterns A comprehensive intelligent system that combines: Adaptive algorithm that self-calibrates automatically according to market conditions 7 strict validation layers that filter out weak patterns and keep only the highest quality Quality scoring system that evaluates each pattern from 0 to 100 3D visualization that makes patterns visually clear in an exceptional way Smart targets based on Fibonacci ratios with real-time achievement tracking The Result: ➡️ Fewer patterns ➡️ Cleaner, more accurate and reliable signals ➡️ Higher quality ➡️ Real practical use ═════════════════════════════════════════════════════════════ 🎯 What Are Wedge Patterns? 1- Falling Wedge — Bullish Reversal Pattern The falling wedge forms when price moves in a converging downward channel — meaning both the upper resistance line and the lower support line are declining, but the support line declines at a less steep angle, gradually narrowing the channel. Why does the bullish breakout occur? Declining highs show continuous selling pressure But rising lows (P2 < P4) reveal that buyers are entering at higher levels Convergence indicates decreasing bearish momentum At a certain point, buying pressure overcomes and the breakout occurs 2- Rising Wedge — Bearish Reversal Pattern The rising wedge is the exact opposite of the falling wedge — a converging upward channel where both lines rise, but the resistance line rises at a less steep angle. Why does the bearish breakout occur? Rising lows show continuous buying pressure But declining highs (P2 > P4) reveal that sellers are entering at lower levels Convergence indicates decreasing bullish momentum At a certain point, selling pressure overcomes and the breakout occurs ═════════════════════════════════════════════════════════════ 🧠 Adaptive Pivot System — The Heart of the Smart Indicator The Problem with Traditional Indicators Traditional indicators use a fixed value for pivot detection (like 5 bars left and 5 bars right). This means: In quiet markets → Many delayed signals In volatile markets → Few missed signals No adaptation to the nature of each market or timeframe The Solution: Smart Adaptation Algorithm The indicator calculates optimal pivot sensitivity on each bar using 5 weighted factors: Final Score = (Volatility_Score × 0.30) + (Trend_Score × 0.25) + (Stability_Score × 0.20) + (Percentile_Context × 0.15) + (Range_Score × 0.10) Factor Weight How It's Calculated Why It's Important Volatility Score 30% ATR(10) / ATR(50) Detects sudden changes in volatility Trend Score 25% ADX(14) / 50 Trending markets need different sensitivity Stability Score 20% StdDev(ATR) / Mean(ATR) Measures volatility consistency Percentile Context 15% ATR / Percentile(ATR, 50) Places volatility in historical context Range Score 10% Current_Range / Average_Range Detects unusual bars The Result: The indicator uses low sensitivity (fewer, more important pivots) in quiet markets, and high sensitivity (more pivots, faster response) in volatile markets (more accurate pivots = correct geometric patterns). ═════════════════════════════════════════════════════════════ ✅ Seven Validation Layers — Why This Indicator Is Different Every detected pattern passes through 7 strict tests before being displayed: 1- Geometric Structure Validation Validates: P1 precedes P2 precedes P3 precedes P4 chronologically Distance between each two points ≥ minimum threshold Pattern width (P1→P4) within allowed range Highs and lows order is correct for the wedge type 2- True Convergence Check A true wedge must show convergence: ├── Gap at P4 < Gap at P1 ├── Convergence ratio = End_Gap / Start_Gap └── Ratio must be < defined convergence threshold (default 75%) 3- Slope Validation For Falling Wedge: ├── Resistance line slope < 0 (declining) ├── Support line slope < 0 (declining) └── Resistance slope < Support slope (convergence) For Rising Wedge: ├── Resistance line slope > 0 (rising) ├── Support line slope > 0 (rising) └── Support slope > Resistance slope (convergence) 4- Prior Trend Filter Reversal patterns need a prior trend to reverse from: ├── Measures price movement during a defined period before P1 ├── Normalizes movement using ATR for fair comparison ├── Falling wedge requires prior downtrend └── Rising wedge requires prior uptrend 5- Channel Respect Normal mode (close check): └── Every close between P1 and P4 must be within wedge boundaries Strict mode (high/low check): ├── Every high must be below resistance line (+ tolerance) └── Every low must be above support line (- tolerance) 6- Post-P4 Validation After the fourth point forms: ├── For falling wedge: Price doesn't break support or drop below P4 └── For rising wedge: Price doesn't break resistance or rise above P4 7- Quality Scoring System Quality = (Convergence_Score × 0.30) + (Slope_Score × 0.25) + (Width_Score × 0.20) + (Trend_Score × 0.15) + (Height_Score × 0.10) ├── Convergence Score: More convergence = higher quality ├── Slope Score: Consistency of upper and lower line slopes ├── Width Score: Patterns with 40-100 bar width are ideal ├── Trend Score: Prior trend strength └── Height Score: Pattern height relative to ATR ═════════════════════════════════════════════════════════════ ✅ Pattern Lifecycle Management The indicator doesn't just draw and disappear — it follows the complete pattern: Pattern detection Post-fourth point monitoring Breakout confirmation Target calculation Target achievement tracking Success or cancellation marking ❌ Pattern is automatically cancelled if: Breakout fails Channel is broken in reverse direction Waiting period exceeded ═════════════════════════════════════════════════════════════ ✅ Smart Targets + Success Level After breakout: Target is calculated based on pattern height 3 target modes: Conservative (0.618) Balanced (1.0) Aggressive (1.618) Independent Success level to measure move strength before target ═════════════════════════════════════════════════════════════ 🎨 Advanced Visual Display (3D Visualization) Three-dimensional pattern representation Visual depth reflecting pattern size 3D target zone Dynamic colors upon target achievement 🎨 The purpose of 3D is not decoration But reading the pattern visually with speed and clarity ═════════════════════════════════════════════════════════════ ⚙️ Key Features ✅ Automatic wedge detection ✅ Smart filtering reduces false signals ✅ Real quality assessment for each pattern ✅ Realistic and customizable targets ✅ Full support for Rising & Falling Wedge ✅ Works on all markets and timeframes ✅ Professional design and high performance ═════════════════════════════════════════════════════════════ 📊 Usage Scenarios 🟢 Scalping Timeframes: 1–15 minutes Quality ≥ 60 Conservative targets 🔵 Day Trading Timeframes: 15m–1h Quality ≥ 50 Balanced targets 🟣 Swing Trading Timeframes: 4h–Daily Quality ≥ 40 Strict channel Aggressive targets 🟠 Cryptocurrencies Strict convergence Strict channel Quality ≥ 65 ═════════════════════════════════════════════════════════════ 🔔 Alerts Falling wedge breakout ⇒ Buy Rising wedge breakout ⇒ Sell Any wedge breakout ═════════════════════════════════════════════════════════════ ⚠️ Disclaimer This indicator is for educational and analytical purposes only. It does not represent financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is responsible for any financial decisions or losses. ═════════════════════════════════════════════════════════════ 🔺 Smart Wedge Pattern نموذج الوتد الذكي Advanced & Intelligent Wedge Detection Engine ليس مؤشرًا تقليديًا يرسم خطوط وتد فقط ، بل هو محرك (نظام) ذكي متكامل لاكتشاف وتحليل نماذج الوتد (Rising & Falling Wedge) اعتمادًا على الهندسة السعرية ، السياق السوقي ، والجودة الإحصائية للنموذج. تم تصميم هذا المؤشر لمعالجة أكبر مشكلة في مؤشرات الوتد الشائعة: ❌ كثرة النماذج الوهمية ❌ تجاهل الاتجاه السابق ❌ عدم وجود تقييم حقيقي لجودة النموذج نظام ذكي متكامل يجمع بين: خوارزمية تكيفية تُعاير نفسها تلقائياً حسب ظروف السوق 7 طبقات تحقق صارمة تُصفّي الأنماط الضعيفة وتُبقي فقط الأعلى جودة نظام تسجيل جودة يُقيّم كل نموذج من 0 إلى 100 تصور ثلاثي الأبعاد يجعل الأنماط واضحة بصرياً بشكل استثنائي أهداف ذكية مبنية على نسب فيبوناتشي مع تتبع التحقق الآني النتيجة: ➡️ نماذج أقل ➡️ إشارات أنظف أكثر دقة وموثوقية ➡️ جودة أعلى ➡️ استخدام عملي حقيقي ═════════════════════════════════════════════════════════════ 🎯 ما هي نماذج الأوتاد؟ 1- الوتد الهابط (Falling Wedge) — نموذج انعكاسي صعودي الوتد الهابط يتشكل عندما يتحرك السعر في قناة هابطة متقاربة — أي أن خط المقاومة العلوي وخط الدعم السفلي كلاهما يهبطان، لكن خط الدعم يهبط بزاوية أقل حدة، مما يُضيّق القناة تدريجياً. لماذا يحدث الكسر الصعودي؟ القمم الهابطة تُظهر ضغطاً بيعياً مستمراً لكن القيعان الصاعدة (P2 < P4) تكشف أن المشترين يدخلون عند مستويات أعلى التقارب يُشير إلى تناقص الزخم الهبوطي عند نقطة معينة، يتغلب ضغط الشراء ويحدث الكسر 2- الوتد الصاعد (Rising Wedge) — نموذج انعكاسي هبوطي الوتد الصاعد هو عكس الهابط تماماً — قناة صاعدة متقاربة حيث يصعد كلا الخطين، لكن خط المقاومة يصعد بزاوية أقل حدة. لماذا يحدث الكسر الهبوطي؟ القيعان الصاعدة تُظهر ضغطاً شرائياً مستمراً لكن القمم الهابطة (P2 > P4) تكشف أن البائعين يدخلون عند مستويات أدنى التقارب يُشير إلى تناقص الزخم الصعودي عند نقطة معينة، يتغلب ضغط البيع ويحدث الكسر ═════════════════════════════════════════════════════════════ 🧠 نظام المحاور التكيفي — قلب المؤشر الذكي المشكلة مع المؤشرات التقليدية المؤشرات التقليدية تستخدم قيمة ثابتة لاكتشاف المحاور (مثل 5 شموع يسار و5 شموع يمين). هذا يعني: في الأسواق الهادئة → إشارات كثيرة ومتأخرة في الأسواق المتقلبة → إشارات قليلة وضائعة لا تكيف مع طبيعة كل سوق أو إطار زمني الحل: خوارزمية التكيف الذكي المؤشر يحسب حساسية المحور المثلى في كل شمعة باستخدام 5 عوامل مرجحة: النتيجة النهائية = (درجة_التقلب × 0.30) + (درجة_الاتجاه × 0.25) + (درجة_الاستقرار × 0.20) + (السياق_المئوي × 0.15) + (درجة_النطاق × 0.10) العامل الوزن كيف يُحسب لماذا مهم درجة التقلب 30% ATR(10) / ATR(50) يكشف التغير المفاجئ في التقلب درجة الاتجاه 25% ADX(14) / 50 الأسواق الاتجاهية تحتاج حساسية مختلفة درجة الاستقرار 20% StdDev(ATR) / Mean(ATR) يقيس ثبات التقلب السياق المئوي 15% ATR / Percentile(ATR, 50) يضع التقلب في سياقه التاريخي درجة النطاق 10% النطاق_الحالي / متوسط_النطاق يكشف الشموع غير العادية النتيجة: المؤشر يستخدم حساسية منخفضة (محاور أقل، أكثر أهمية) في الأسواق الهادئة، وحساسية عالية (محاور أكثر، استجابة أسرع) في الأسواق المتقلبة (محاور أدق = نماذج هندسية صحيحة). ═════════════════════════════════════════════════════════════ ✅ طبقات التحقق السبع — لماذا هذا المؤشر مختلف كل نموذج مُكتشف يمر عبر 7 اختبارات صارمة قبل عرضه: 1- التحقق من البنية الهندسية يتحقق من: P1 يسبق P2 يسبق P3 يسبق P4 زمنياً المسافة بين كل نقطتين ≥ الحد الأدنى المحدد عرض النموذج (P1→P4) ضمن النطاق المسموح ترتيب القمم والقيعان صحيح حسب نوع الوتد 2- فحص التقارب الحقيقي الوتد الحقيقي يجب أن يُظهر تقارباً: ├── الفجوة عند P4 < الفجوة عند P1 ├── نسبة التقارب = الفجوة_النهائية / الفجوة_الابتدائية └── النسبة يجب أن تكون < عتبة التقارب المحددة (افتراضي 75%) 3- التحقق من الميل للوتد الهابط: ├── ميل خط المقاومة < 0 (هابط) ├── ميل خط الدعم < 0 (هابط) └── ميل المقاومة < ميل الدعم (تقارب) للوتد الصاعد: ├── ميل خط المقاومة > 0 (صاعد) ├── ميل خط الدعم > 0 (صاعد) └── ميل الدعم > ميل المقاومة (تقارب) 4- فلتر الاتجاه السابق النماذج الانعكاسية تحتاج اتجاهاً سابقاً لتنعكس منه: ├── يقيس حركة السعر خلال فترة محددة قبل P1 ├── يُطبّع الحركة باستخدام ATR لمقارنة عادلة ├── الوتد الهابط يحتاج اتجاهاً هابطاً سابقاً └── الوتد الصاعد يحتاج اتجاهاً صاعداً سابقاً 5- احترام القناة وضع عادي (فحص الإغلاق): └── كل إغلاق بين P1 و P4 يجب أن يكون داخل حدود الوتد وضع صارم (فحص القمة/القاع): ├── كل قمة يجب أن تكون تحت خط المقاومة (+ نسبة تسامح) └── كل قاع يجب أن يكون فوق خط الدعم (- نسبة تسامح) 6- التحقق بعد P4 بعد تشكل النقطة الرابعة: ├── للوتد الهابط: السعر لا يكسر خط الدعم أو ينزل تحت P4 └── للوتد الصاعد: السعر لا يكسر خط المقاومة أو يصعد فوق P4 7- نظام تسجيل الجودة الجودة = (درجة_التقارب × 0.30) + (درجة_الميل × 0.25) + (درجة_العرض × 0.20) + (درجة_الاتجاه × 0.15) + (درجة_الارتفاع × 0.10) ├── درجة التقارب: كلما زاد التقارب، زادت الجودة ├── درجة الميل: تناسق ميل الخطين العلوي والسفلي ├── درجة العرض: الأنماط بعرض 40-100 شمعة مثالية ├── درجة الاتجاه: قوة الاتجاه السابق └── درجة الارتفاع: ارتفاع النموذج نسبة لـ ATR ═════════════════════════════════════════════════════════════ ✅ إدارة دورة حياة النموذج (Pattern Lifecycle) المؤشر لا يرسم ثم يختفي، بل يتابع النموذج كاملًا: اكتشاف النموذج مراقبة ما بعد النقطة الرابعة تأكيد الاختراق حساب الهدف تتبع الوصول للهدف تمييز النجاح أو الإلغاء ❌ يتم إلغاء النموذج تلقائيًا إذا: فشل في الاختراق كُسرت القناة عكسيًا تجاوز مدة الانتظار المحددة ═════════════════════════════════════════════════════════════ ✅ أهداف ذكية + Success Level بعد الاختراق: يتم حساب الهدف بناءً على ارتفاع النموذج 3 أوضاع للأهداف: Conservative (0.618) Balanced (1.0) Aggressive (1.618) مستوى Success مستقل لقياس قوة الحركة قبل الهدف ═════════════════════════════════════════════════════════════ 🎨 عرض بصري متقدم (3D Visualization) تمثيل ثلاثي الأبعاد للنموذج عمق بصري يعكس حجم النموذج منطقة هدف ثلاثية الأبعاد ألوان ديناميكية عند تحقق الهدف 🎨 الهدف من 3D ليس الزينة بل قراءة النموذج بصريًا بسرعة ووضوح ═════════════════════════════════════════════════════════════ ⚙️ أهم المميزات ✅ اكتشاف تلقائي للأوتاد ✅ فلترة ذكية تقلل الإشارات الوهمية ✅ تقييم جودة حقيقي لكل نموذج ✅ أهداف واقعية وقابلة للتخصيص ✅ دعم كامل لـ Rising & Falling Wedge ✅ يعمل على جميع الأسواق والفريمات ✅ تصميم احترافي وأداء عالي ═════════════════════════════════════════════════════════════ 📊 سيناريوهات الاستخدام 🟢 المضاربة السريعة أطر: 1–15 دقيقة جودة ≥ 60 أهداف محافظة 🔵 التداول اليومي أطر: 15د–1س جودة ≥ 50 أهداف متوازنة 🟣 التداول المتأرجح أطر: 4س–يومي جودة ≥ 40 قناة صارمة أهداف عدوانية 🟠 العملات الرقمية تقارب صارم قناة صارمة جودة ≥ 65 ═════════════════════════════════════════════════════════════ 🔔 التنبيهات كسر وتد هابط ⇒ شراء كسر وتد صاعد ⇒ بيع أي كسر وتد ═════════════════════════════════════════════════════════════ ⚠️ إخلاء المسؤولية هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
อินดิเคเตอร์ Pine Script®
โดย The_lurker
3
Regression SuperTrend WAIT🔹 DESCRIPTION Regression SuperTrend + WAIT Panel is a trend-filter and market regime indicator designed to help traders identify the dominant market direction and avoid low-quality trading conditions. This script combines: Regression-based SuperTrend to define the primary trend (UP / DOWN) A WAIT panel to filter tradable conditions ADX, RSI, and CCI values displayed in a compact panel for quick context Buy / Sell labels on the chart do not represent entry signals. They only indicate trend regime changes. 🔹 How to Use 1. Trend Direction Green line (UP) → Focus on LONG setups only Red line (DOWN) → Focus on SHORT setups only 2. WAIT Panel WAIT(L) → Long bias environment, wait for proper entries WAIT(S) → Short bias environment, wait for proper entries Low ADX → Weak or ranging market, trading is not recommended RSI and CCI values are shown for momentum context only. 🔹 Best Practice This indicator is not a standalone trading system. It is intended to be used as: A higher-timeframe bias tool A trend and regime filter for lower-timeframe strategies or oscillators Example: Regression UP + WAIT(L) → Only look for long setups on lower timeframes 🔹 Who Is This For? Trend-based traders ICT / market structure traders Traders who want to clearly identify when NOT to trade ⚠️ Disclaimer This script is for educational purposes only. It is not financial advice. All trading decisions and risk management are the user’s responsibility.
อินดิเคเตอร์ Pine Script®
โดย ugurilhan2
3
EMTIA_MASTER_LIBLibrary "EMTIA_MASTER_LIB" trendUp(emaFast, emaSlow)   Parameters:      emaFast (float)      emaSlow (float) rsiHealthy(rsi)   Parameters:      rsi (float) adxStrong(adx, diPlus, diMinus)   Parameters:      adx (float)      diPlus (float)      diMinus (float) macroSlope(emaFast, emaSlow)   Parameters:      emaFast (float)      emaSlow (float) structureBull(hh, hl)   Parameters:      hh (bool)      hl (bool) calcScore(weeklyTrend, dailyTrend, adxOk, rsiOk, structureOk, macroOk)   Parameters:      weeklyTrend (bool)      dailyTrend (bool)      adxOk (bool)      rsiOk (bool)      structureOk (bool)      macroOk (bool)
ไลบรารี Pine Script®
โดย eflatunid
VIOP Scalping - ATR SNIPERVIOP Scalping – ATR SNIPER is a momentum-based scalping strategy designed to capture short, high-probability moves while keeping risk strictly defined using ATR-based stop-loss and fixed risk/reward targets. The strategy trades only when trend direction, momentum, and strength are aligned. This script is provided for educational and testing purposes only. It does not guarantee profitability and must be used with proper risk management. Core Idea Trade in the direction of the dominant trend, confirm momentum acceleration, and manage risk using ATR-based dynamic stops and targets. How the Strategy Works The main trend is defined using a Weighted Moving Average (WMA). Momentum is measured by the distance and direction between a fast EMA and a slow EMA. Trend strength is confirmed using ADX. RSI is used as a filter to avoid weak or overextended market conditions. Entries are blocked during a predefined no-trade time window to avoid high-noise periods. Long Entry Conditions Fast EMA is above Slow EMA and the EMA difference is greater than the minimum threshold. EMA momentum is increasing compared to the previous bar. RSI is within the user-defined long range. Current close is higher than the previous close. ADX is above the minimum strength threshold. Price is above the WMA trend line. The current bar is not inside the no-trade session. Short Entry Conditions Fast EMA is below Slow EMA and the EMA difference is below the negative threshold. Bearish EMA momentum is increasing. RSI is within the user-defined short range. Current close is lower than the previous close. ADX is above the minimum strength threshold. Price is below the WMA trend line. The current bar is not inside the no-trade session. Risk Management – ATR Sniper Logic Stop-loss distance is calculated as ATR multiplied by the ATR Multiplier. Take-profit distance is calculated using the defined Risk/Reward ratio. Stop-loss and take-profit levels are dynamically calculated per trade. Only one position can be open at any given time. What You See on the Chart Weighted Moving Average (WMA) trend line. Fast EMA and Slow EMA lines. Dynamic stop-loss line during active trades. Dynamic take-profit line during active trades. Recommended Use Intraday scalping on VİOP instruments. Momentum-based short-term trading. Traders who prefer rule-based systems with strict risk control. Always backtest and forward-test on your own instruments and timeframes before using this strategy in live markets.
กลยุทธ์ Pine Script®
โดย mehmettopbas_
Evil's Two Legged IndicatorA pullback strategy indicator designed for scalping. This attempts to Identify classic 2-leg pullback patterns and filters out signals during choppy market conditions for better signals. How It Works: The indicator detects when price forms two pullback legs (swing lows in an uptrend or swing highs in a downtrend) near key support/resistance zones, then signals when reversal confirmation occurs. Equal-level pullbacks (double bottoms/tops) are marked as stronger signals. Features: Channel Options: Donchian (default), Linear Regression, or ATR Bands Configurable EMA: For trend confirmation (default 21) Adjustable Leg Detection: Swing lookback period for different timeframes Equal Level Detection: Highlights stronger setups where both legs terminate at similar prices Three Chop Filters (can be combined): ADX Filter — suppresses signals when ADX is below threshold (default 25) EMA Slope Filter — suppresses signals when EMA is flat Chop Index Filter — suppresses signals when Chop Index indicates ranging conditions Signal Types: Standard signals: 2-leg pullback detected with trend confirmation Strong signals (highlighted): 2-leg pullback with equal highs/lows — higher probability setup Recommended Use: Best suited for scalping on 1-5 minute chart. Designed for 1.5:1 risk/reward setups. Settings Guide: Increase "Swing Lookback" for fewer, higher-quality signals Adjust "Equal Level Threshold" to fine-tune what counts as a double bottom/top Enable/disable chop filters based on your market and timeframe Use "Show Strong Signals Only" to filter for highest conviction setups
อินดิเคเตอร์ Pine Script®
โดย evilTexan
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets. Core Logic: - Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection. - ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets. - Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%: • Price position relative to 21-period EMA (trend alignment) • ADX > 20 (momentum strength) • Choppiness Index < 60 (trending vs ranging detection) • Alignment with Daily EMA(50) trend direction Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers. Key Features: - Dynamic confidence cloud (opacity based on score) - Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate - Optional dynamic/fixed profit targets - Fully customizable filters and adaptive behavior Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits. This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation. Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management. "This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
อินดิเคเตอร์ Pine Script®
โดย mentalExpert19609
6
Chainbey Ai - HTF Trend Matrix (Clean)Chainbey Ai – HTF Trend Matrix is a professional, higher-timeframe trend detection indicator designed to give traders a clean, reliable market bias, regardless of the chart timeframe they are trading on. This indicator automatically analyzes multiple higher timeframes (HTFs) and combines: EMA trend direction Trend strength (ADX) Market structure (trend vs range) Trend disagreement across HTFs Reversal probability estimation All results are displayed in a compact table at the bottom-right, making it perfect for scalpers, day traders, and swing traders who need fast, decision-ready information. 🧠 What This Indicator Solves ❌ No more guessing the higher-timeframe trend ❌ No more trading against the main market bias ❌ No more confusion between trend vs range ✅ Clear BULLISH / BEARISH / RANGE bias ✅ Strength score to avoid weak trends ✅ Reversal probability to manage risk 📊 How to Read the Table (User Manual) 🔹 FINAL Row Example: FINAL | BEARISH TREND | -46 Text (BEARISH / BULLISH / RANGE) → Overall market bias Number (-46) → Trend Strength Score Trend Score Guide: Score Meaning 0 to ±20 No trend / Choppy ±20 to ±40 Weak trend ±40 to ±70 Healthy trend ±70+ Very strong / extended trend 📌 Negative = Bearish 📌 Positive = Bullish 🔹 REVERSAL – Possibility (%) Example: REVERSAL | Possibility | 45% This shows the chance of trend exhaustion or reversal. Reversal % Meaning 0–30% Strong trend continuation 30–50% Normal pullback risk 50%+ High reversal probability 70%+ Dangerous to chase trades 📌 Use this to avoid late entries. 🔹 HTF Rows (60 / 240 / D) Each row shows: DIR / STRUCT Direction from EMA trend Market structure (TREND / RANGE) ADX Trend strength STRONG / MEDIUM / CHOP 📌 If multiple HTFs agree → higher confidence 📌 If HTFs conflict → reduce position size or wait 🛠 Recommended Trading Usage ✅ Best Practices Trade in the direction of FINAL trend Enter on pullbacks, not breakouts Use lower timeframes only for entries ❌ Avoid Trading against FINAL bias Chasing trades when reversal % is high Over-leveraging in CHOP conditions 🎯 Ideal For Crypto traders (Spot & Futures) Forex traders Gold / Commodity traders Scalping, Intraday & Swing trading ⚠️ Disclaimer This indicator is a decision-support tool, not financial advice. Always combine it with proper risk management, confirmations, and your trading plan.
อินดิเคเตอร์ Pine Script®
โดย msurubel1
5
Options Gamma Flip Zones [BackQuant]Options Gamma Flip Zones A market-structure style “gamma flip” mapper that builds adaptive strike-like zones, scores how price interacts with them, then promotes the strongest candidates into confirmed flip zones. Designed to highlight pinning, failed breaks, and rotational behavior without needing live options chain data. What this indicator does This script identifies price levels that behave like “strike magnets” during conditions that resemble options pinning, then draws dynamic zones around those levels. Instead of assuming every round number matters, it: Creates a strike ladder (auto or manual step). Applies a regime filter that looks for “pin-friendly” market conditions. Tracks and scores repeated interactions with the level. Upgrades a zone from candidate to confirmed when enough evidence accumulates. Invalidates zones when price achieves sustained acceptance away from them. The output is a set of shaded boxes (zones) centered on strike-like levels, with text readouts that show the current state of each zone. Key concept: “Gamma proxy” A true gamma flip requires options positioning data. This indicator does not use options chain gamma. Instead, it uses a proxy approach: When markets have elevated volatility relative to their recent baseline AND trend strength is weak, price often behaves “sticky” around key levels. In those conditions, repeated touches and failed escapes around a level behave similarly to pinning around strikes. So this tool is best read as: “Where would a strike-like magnet likely exist right now, based on price behavior and regime conditions?” How zones are created Zones only start forming when the script detects a pin-friendly regime. 1) Strike Ladder (level selection) Auto Strike Step selects a step size based on current price magnitude (bigger price, bigger step). Manual Strike Step lets you force a fixed increment. The current “active level” is the nearest rounded level to price. Major Level Every optionally marks major ladder levels (multiples of step). 2) Band construction (zone thickness) Each zone is a symmetric band around the level, using one of two modes: ATR mode scales thickness with volatility. Percent mode scales thickness as a fraction of price. This matters because “pin behavior” is not a single tick. It’s a region where price repeatedly probes and rejects. Regime filter (when the script is allowed to believe in pinning) A zone is only eligible to form and strengthen when Pin Regime is active. Pin Regime is a conjunction of: 1) IV proxy (ATR z-score) Uses ATR as a volatility proxy. Converts ATR% into a z-score relative to a long lookback. IV Proxy Threshold controls how elevated volatility must be before the script considers pinning likely. 2) Weak trend requirement The script also requires price action to be non-trending: EMA spread must be small (fast vs slow EMA not diverging strongly). ADX must be below a ceiling, confirming weak directional trend strength. Interpretation: High “IV proxy” + weak trend is where pin-like behavior is most common. If trend is strong, zones are less meaningful because price is more likely to accept away from levels. Flip confirmation logic (what upgrades a zone) A zone is not “confirmed” just because price is near it once. The script builds conviction via evidence accumulation. Evidence types: Touches : price comes close to the level within tolerance. Failed escapes : price pushes outside the band but closes back inside (rejection). Acceptance run : consecutive closes outside the band, suggesting price is accepting away from the zone. Protections: Touch Cooldown prevents counting the same micro-chop as multiple touches. Acceptance Bars defines what “real acceptance” means, so the zone does not get invalidated by one noisy bar. A zone becomes confirmed when: Touches meet the “evidence” requirement. Failed escapes meet the “rejection” requirement. The regime filter still says the market is pin-friendly. That is important, it avoids promoting levels that only worked briefly in a trending tape. Zone scoring and lifecycle Each zone maintains a score that evolves over time. Think of score as “how much this level has recently behaved like a magnet.” Score dynamics: Decay per bar : score fades over time if price stops respecting the zone. + per touch : repeated proximity increases score. + per failed escape : rejections add stronger reinforcement. - per acceptance bar : sustained trading outside reduces score. Min score to draw : prevents clutter from weak, low-confidence zones. Invalidation: If the score becomes very weak AND price achieves sustained acceptance away from the zone, the zone is deleted. This keeps the chart clean and ensures zones represent current market behavior, not ancient levels. How to read the plot on chart 1) Zone fill and border Each zone is drawn as a box extended to the right. Fill opacity adapts to zone strength, strong zones are visually more prominent. Border color encodes the current directional context and special events. 2) Bullish vs bearish coloring A zone is colored bullish when price is currently trading above the zone’s mid-level. A zone is colored bearish when price is currently trading below it. This is not a trade signal by itself, it is a state cue for “which side is in control around the level.” 3) Failed escape highlighting If price attempts to break above the band and fails, the border temporarily highlights as a failed up escape. If price attempts to break below the band and fails, the border temporarily highlights as a failed down escape. These are the moments where pin behavior is most visible: Break attempt. Immediate rejection. Return to the band. 4) Midline (optional) The zone midline is the strike-like level itself. It is dotted to distinguish it from price structure lines. 5) Optional strike ladder overlay When enabled, the script draws major and minor ladder lines near current price. Major levels are thicker and less transparent. This is a visualization aid for “where the algorithm is rounding,” not a prediction tool. On-chart text readout (what the box text means) Each box prints a compact state summary, designed for fast scanning: Γ CANDIDATE means the zone is being tracked but not yet validated. Γ FLIP (PROXY) means the zone has met confirmation requirements. BULL/BEAR indicates which side price is on relative to the mid-level. L prints the level value. T is touch count, repeated proximity events. F is fail count, rejected escape attempts. IVz is the volatility proxy z-score at the moment. ADX is the trend strength context. Practical use cases 1) Pinning and range trading context Confirmed zones often act like gravity wells in sideways or rotational regimes. When price repeatedly fails to escape, fading outer edges can be reasonable context for mean reversion workflows. 2) Breakout validation If price achieves acceptance outside the band for multiple bars, that is stronger breakout context than a single wick. Zones that invalidate cleanly can mark transitions from pinning to directional move. 3) Time your “do nothing” periods When Pin Regime is active and a zone is confirmed, the tape often becomes sticky and inefficient for trend chasing. This helps avoid taking trend entries into a pin environment. Alerts Standalone alertconditions are included: Zone Confirmed : a candidate becomes confirmed. Zone Touch : price touches an active zone within tolerance. Zone Invalidated : the zone loses relevance and is removed. Tuning guidelines Sensitivity vs quality Lower Touches Needed and Failed Escapes Needed creates more zones faster, but with lower quality. Higher values create fewer zones, but the ones that remain are more behaviorally “proven.” Band width ATR mode adapts to volatility and is typically safer across assets. Percent mode is consistent visually but can feel too tight in high vol or too wide in low vol if not tuned. Regime thresholds If you want fewer zones, raise IV proxy threshold and tighten weak-trend filters. If you want more zones, lower IV proxy threshold and loosen weak-trend filters. Limitations This is a proxy model, not live options gamma. In strong trends, pinning assumptions can break, the regime filter is there to reduce that risk, but not eliminate it. Auto strike step is designed for typical market ranges, manual step is recommended for niche tick sizes or custom markets. Disclaimer Educational and informational only, not financial advice. Not a complete trading system. Always validate settings per asset and timeframe.
อินดิเคเตอร์ Pine Script®
โดย BackQuant
2
Master Strategy: BTC W1 Mean Reversion [Institutional SOP]Overview This is an institutional-grade Mean Reversion and Range Rotation strategy designed specifically for Bitcoin (BTC/USDT) Perpetual Futures. It operates on the philosophy that liquidity resides at the extremes of the previous week's range (Previous Week High/Low). The strategy looks for false breakouts (Sweeps) followed by a confirmed return to the range (Reclaim), targeting the weekly equilibrium (EQ). Core Logic: The Deviation Play Unlike standard breakout strategies, this indicator hunts for trapped liquidity. Weekly Levels (Fixed): It calculates PWH (Previous Week High) and PWL (Previous Week Low) based on confirmed, closed weekly data. These levels act as the "Box" for the current week. The Sweep: We wait for price to pierce the PWH or PWL (taking liquidity/stops). The script uses a dynamic ATR-based threshold to filter out noise (micro-pokes). The Reclaim (4H Close): A signal is generated ONLY if a 4H candle closes back inside the weekly range shortly after the sweep. This confirms rejection of higher/lower prices. The Entry: The script suggests a Limit Order at the retested level (PWH/PWL) to maximize R:R. Institutional Quality Filters ("Kill Switches") To prevent trading in unfavorable conditions, the script includes strict SOP (Standard Operating Procedure) filters: Trend Filter (ADX): Blocks mean reversion signals if the daily trend is too strong (ADX > 25). Expansion Filter: Blocks signals if price accepted levels outside the range for too long (prevents fighting a true breakout). Weekly Range Filter: Filters out weeks that are statistically too tight (chop) or too wide (expansion). Time Filter: A reclaim must happen within a set number of 4H bars after the sweep (default: 3). Key Features Zero Repainting: Logic is based strictly on closed candles ( , , ). State Machine Logic: Uses internal memory to track sweeps regardless of chart timeframe glitches. Operational Dashboard: Displays current status, countdown to next decision candle (4H close), and exact parameters for the last valid signal (Entry, SL, TP). Unified Alerting: A single "Any function call" alert handles both Long and Short scenarios dynamically. Clean Visuals: Levels are plotted with line breaks to avoid visual clutter between weeks. How to Use Timeframe: Set your chart to 4H. This is crucial as the logic relies on 4H closes. Signals: Wait for the "4H RECLAIM" label. Execution: Place a Limit Order at the suggested Level (PWH/PWL). Stop Loss: Use the calculated SL provided by the indicator (Swing extreme + ATR buffer). Target: TP1 is always the EQ (Equilibrium/Mid-range).
อินดิเคเตอร์ Pine Script®
โดย TheMrD
B + A + D v0.4This script combines a momentum histogram (B-Xtrender) with trend strength and direction filters (ADX + DI). The histogram is built from EMA differentials processed through RSI, showing short- and long-term momentum shifts around the zero line. ADX with DI+ / DI− is used to confirm whether the market is trending and in which direction. Bullish signals appear when the histogram turns positive and DI+ dominates DI− with sufficient trend strength. Bearish signals appear when the histogram turns negative and DI− dominates DI+ with sufficient trend strength. Important note for users: The strongest and most reliable signals are those that appear immediately after the histogram crosses the zero line (from negative to positive or from positive to negative). Signals that appear later, while the histogram is already extended in the trend, tend to be weaker and should be treated as continuation signals rather than high-probability reversals. Credits: Special thanks to the authors of the original concepts and scripts:
อินดิเคเตอร์ Pine Script®
โดย wepritz84
2
FANBLASTERFANBLASTER Methodology & Rules (Live Trading Version) Purpose Catch the exact moment the market flips from chop into a high-conviction trending move using a clean, stacked Fib EMA ribbon + volatility + volume confirmation. Core Idea When the 5-8-13-21-34-55 EMA stack suddenly “fans out” in perfect order with significant separation, a real trend is being born. Most retail traders chase late – FANBLASTER alerts you on the very first bar the fan opens. What Triggers a “FAN BLAST” Alert Perfect EMA Alignment Bullish: 5 > 8 > 13 > 21 > 34 > 55 Bearish: 5 < 8 < 13 < 21 < 34 < 55 (Has to flip from NOT aligned on the previous bar → aligned on this bar) Significant Separation Distance between EMA 5 and EMA 55 ≥ 1.3 × ATR(14) (1.3 is the ES sweet spot – filters fake little wiggles) Trend Strength Confirmation ADX(14) ≥ 22 (Ensures the move isn’t just noise; ES trends explode while ADX is still climbing) Volume Conviction Current volume > 1.4 × 20-period EMA of volume (Real moves have real participation) When ALL FOUR conditions are true on the same bar → you get the green or red circle + phone alert. How to Trade It (Live Rules) Alert fires → look at the chart immediately If price is pulling back to the 8 or 13 EMA in the direction of the fan → enter on touch or close above/below Initial stop: opposite side of the fan (below the 55 for longs, above the 55 for shorts) Target: 2–4 R minimum, trail with the 21 or 34 once in profit No alert = stay flat. This is a “trend birth” sniper, not a scalping tool. Best Instruments & Timeframes (2025) ES & NQ futures 2 min, 5 min, 15 min (all work with the exact same settings) Works on MES/MNQ too (same params) Bottom Line FANBLASTER sits silent 90 % of the day and only screams when the market is actually about to run 20–100+ points. One alert = one high-probability trend. That’s it. Lock it, load it, and let the phone do the hunting. Good luck, stay disciplined, and stack those points. — Your edge is now live.
อินดิเคเตอร์ Pine Script®
โดย Nico_Nuvole
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure. To use this engine successfully: Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points. Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the signal is rejected. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. Module 2: Correlation Trend Indicator (CTI) Logic: Measures how closely the current price action correlates to a straight line (a perfect trend). Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal). Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes. Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish. Module 6: Crypto Market Breadth (CMB) Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts). Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data. Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother). Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis. Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry. Module 10: Simple Harmonic Oscillator Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. Module 11: HSRS Compression / Super AO Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO). Function: Great for catching explosive moves resulting from consolidation. Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040). Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down. ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX). CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment. 6. Risk Management & The Dump Protection Team (DPT) Even in this Indicator version, the RM logic runs to generate Exit Signals. Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot). Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse"). Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility. Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders to filter out noise. Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes. Visuals: Blue Plot: Buy/Sell Signal. Yellow Plot: Risk Management (RM) / DPT Close Signal. Green/Lime/Olive Plots: Take Profit hits. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
อินดิเคเตอร์ Pine Script®
โดย SignalLynx
Gyspy Bot Trade Engine - V1.2B - Strategy 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Ultimate Strategy & Backtest Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script environment. While most strategies rely on a single dominant indicator (like an RSI cross or a MACD flip) to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only executes a trade entry when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction before capital is committed. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to force-exit positions, overriding standard stops to preserve capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the backtest shows a 100% win rate, only to have the strategy fail immediately in live markets because it was tuned to historical noise rather than market structure. To use this engine successfully, you must adopt a specific optimization mindset: Ignore Raw Net Profit: Do not tune for the highest dollar amount. A strategy that makes $1M in the backtest but has a 40% drawdown is useless. Prioritize Stability: Look for a high Profit Factor (1.5+), a high Percent Profitable, and a smooth equity curve. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Parameters that worked perfectly in 2021 may fail in 2024. Gypsy Bot settings should be reviewed and adjusted at regular intervals (e.g., quarterly) to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY trigger a Buy Entry if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the trade is rejected. This allows you to mix "Leading" indicators (Oscillators) with "Lagging" indicators (Moving Averages) to create a high-probability entry signal that requires momentum, volume, and trend to all be in alignment. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: It filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. This helps avoid entering trades during weak drifts that often precede a reversal. Module 2: Correlation Trend Indicator (CTI) Logic: Based on John Ehlers' work, this measures how closely the current price action correlates to a straight line (a perfect trend). Function: It outputs a confidence score (-1 to 1). Gypsy Bot uses this to ensure that we are not just moving up, but moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A sophisticated spectral filter that combines a High-Pass filter (to remove long-term drift) with a Super Smoother (to remove high-frequency noise). Function: It attempts to isolate the "Roof" of the price action. It is excellent at catching cyclical turning points before standard moving averages react. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: When the Forecast Oscillator crosses its zero line, it indicates that the regression trend has flipped. We offer both "Aggressive" and "Conservative" calculation modes for this module. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from the highest high (for longs) or lowest low (for shorts). Function: Used here as an entry filter. If price is above the Chandelier line, the trend is Bullish. It also includes a "Bull/Bear Qualifier" check to ensure structural support. Module 6: Crypto Market Breadth (CMB) Logic: This is a macro-filter. It pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts) across different exchanges. Function: It calculates a "Market Health" percentage. If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade, ensuring you don't buy into a "fake" rally driven by a single asset. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. A buy signal is generated only when the positive directional movement overpowers the negative movement with expanding momentum. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator. It uses Advance/Decline data and Up/Down Volume data. Function: This is one of the most powerful modules. It confirms that price movement is supported by actual volume flow. We recommend using the "SSMA" (Super Smoother) MA Type for the cleanest signals on the 4H chart. Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis using the Tenkan-sen and Kijun-sen. Function: Checks for a "Kumo Breakout." Price must be fully above the Cloud (for longs) or below it (for shorts). This is a classic "trend confirmation" module. Module 10: Simple Harmonic Oscillator Logic: Analyzes the harmonic wave properties of price action to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. It tries to identify when a cycle has bottomed out (for buys) or topped out (for sells) before the main trend indicators catch up. Module 11: HSRS Compression / Super AO Logic: Two options in one. HSRS: Hirashima Sugita Resistance Support. Detects volatility compression (squeezes) relative to dynamic support/resistance bands. Super AO: A combination of the Awesome Oscillator and SuperTrend logic. Function: Great for catching explosive moves that result from periods of low volatility (consolidation). Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. This module uses Multi-Timeframe (MTF) logic to look at higher-timeframe trends (e.g., looking at the Daily Fisher while trading the 4H chart) to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. If any of these are triggered, the trade is blocked. Bitcoin Halving Logic: Hardcoded dates for past and projected future Bitcoin halvings (up to 2040). Trading is inhibited or restricted during the chaotic weeks immediately surrounding a Halving event to avoid volatility crushes. Miner Capitulation: Uses Hash Rate Ribbons (Moving averages of Hash Rate). If miners are capitulating (Shutting down rigs due to unprofitability), the engine flags a "Bearish" regime and can flip logic to Short-only or flat. ADX Filter (Flat Market Protocol): If the Average Directional Index (ADX) is below a specific threshold (e.g., 20), the market is deemed "Flat/Choppy." The bot will refuse to open trend-following trades in a flat market. CryptoCap Trend: Checks the total Crypto Market Cap chart. If the broad market is in a downtrend, it can inhibit Long entries on individual altcoins. 6. Risk Management & The Dump Protection Team (DPT) Gypsy Bot separates "Entry Logic" from "Risk Management Logic." Dump Protection Team (DPT) This is a specialized logic branch designed to save the account during Black Swan events. Nuke Protection: If the DPT detects a volatility signature consistent with a flash crash, it overrides all other logic and forces an immediate exit. Moon Protection: If a parabolic pump is detected that violates statistical probability (Bollinger deviations), DPT can force a profit take before the inevitable correction. Advanced Adaptive Trailing Stop (AATS) Unlike a static trailing stop (e.g., "trail by 5%"), AATS is dynamic. Penthouse Level: If price is at the top of the HSRS channel (High Volatility), the stop loosens to allow for wicks. Dungeon Level: If price is compressed at the bottom, the stop tightens to protect capital. Staged Take Profits TP1: Scalp a portion (e.g., 10%) to cover fees and secure a win. TP2: Take the bulk of profit. TP3: Leave a "Runner" position with a loose trailing stop to catch "Moon" moves. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Reset: Turn OFF Trailing Stop, Stop Loss, and Take Profits. (We want to see raw entry performance first). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These have the highest impact on net performance. Tune Module 8 (MTI): This module is a heavy filter. Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules 1-12 based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders. A lower number = More Trades (Aggressive). A higher number = Fewer, higher conviction trades (Conservative). Final Polish: Re-enable Stop Losses, Trailing Stops, and Staged Take Profits to smooth the equity curve and define your max risk per trade. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This strategy uses Closed Candle data for all Risk Management and Entry decisions. This ensures that Backtest results align closely with real-time behavior (no repainting of historical signals). Alerts: This script generates Strategy alerts. If you require visual-only alerts, see the source code header for instructions on switching to "Study" (Indicator) mode. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
กลยุทธ์ Pine Script®
โดย SignalLynx
1
RiskCraft - Advanced Risk Management SystemRiskCraft – Risk Intelligence Dashboard Trade like you actually respect risk "I know the setup looks good… but how much am I actually risking right now?" RiskCraft is an open-source Pine Script v6 indicator that keeps risk transparent directly on the chart. It is not a signal generator; it is a risk desk that calculates size, frames volatility, and reminds you when your behaviour drifts away from the plan. Core utilities Calculates professional-style position sizing in real time. Reads volatility and market regime before position size is confirmed. Adjusts risk based on the trader’s emotional state and confidence inputs. Maps session risk across Asian, London, and New York hours. Draws exactly one stop line and one target line in the preferred direction. Provides rotating education tips plus contextual warnings when risk escalates. It is intentionally conservative and keeps you in the game long enough for any separate entry logic to matter. --- Chart layout checklist Use a clean chart on a liquid symbol (e.g., AMEX:SPY or major FX pairs). Main RiskCraft dashboard placed on the right edge. Session Risk box on the left with UTC time visible. Floating risk badge above price. Stop/target guide lines enabled. Education panel visible in the bottom-right corner. --- 1. On-chart components Right-side dashboard : account risk %, position size/value, stop, target, risk/reward, regime, trend strength, emotional state, behavioural score, correlation, and preferred trade direction. Session Risk box : highlights active session (Asian, London, NY), current UTC time, and risk label (High/Med/Low) per session. Floating risk badge : keeps actual account risk percent visible with colour-coded wording from Ultra Cautious to Very Aggressive. Stop/target lines : exactly one dashed stop and one dashed target aligned with the preferred bias. Education panel : rotates core principles and AI-style warnings tied to volatility, risk %, and behaviour flags. --- 2. Volatility engine – ATR with context 📈 atr = ta.atr(atrLength) atrPercent = (atr / close) * 100 atrSMA = ta.sma(atr, atrLength) volatilityRatio = atr / atrSMA isHighVol = volatilityRatio > volThreshold ATR vs ATR SMA shows how wild price is relative to recent history. Volatility ratio above the threshold flips isHighVol , which immediately trims risk. An ATR percentile rank over the last 100 bars indicates calm versus chaotic regimes. Daily ATR sampling via request.security() gives higher time-frame context for intraday sessions. When volatility spikes the script dials position size down automatically instead of cheering for maximum exposure. --- 3. Market regime radar – Danger or Drift 🌊 ema20 = ta.ema(close, 20) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) trendScore = (close > ema20 ? 1 : -1) + (ema20 > ema50 ? 1 : -1) + (ema50 > ema200 ? 1 : -1) = ta.dmi(14, 14) Regimes covered: Danger : high volatility with weak trend. Volatile : volatility elevated but structure still directional. Choppy : low ADX and noisy action. Trending : directional flows without extreme volatility. Mixed : anything between. Each regime maps to a 1–10 risk score and a multiplier that feeds the final position size. Danger and Choppy clamp size; Trending restores normal risk. --- 4. Behaviour engine – trader inputs matter 🧠 You provide: Emotional state : Confident, Neutral, FOMO, Revenge, Fearful. Confidence : slider from 1 to 10. Toggle for behavioural adjustment on/off. Behind the scenes: Each state triggers an emotional multiplier . Confidence produces a confidence multiplier . Combined they form behavioralFactor and a 0–100 Behavioural Score . High-risk emotions or low conviction clamp the final risk. Calm inputs allow normal size. The dashboard prints both fields to keep accountability on-screen. --- 5. Correlation guardrail – avoid stacking identical risk 📊 Optional correlation mode compares the active symbol to a reference (default AMEX:SPY ): corrClose = request.security(correlationSymbol, timeframe.period, close) priceReturn = ta.change(close) / close corrReturn = ta.change(corrClose) / corrClose correlation = calcCorrelation() Absolute correlation above the threshold applies a correlation multiplier (< 1) to reduce size. Dashboard row shows the live correlation and reference ticker. When disabled, the row simply echoes the current symbol, keeping the table readable. --- 6. Position sizing engine – heart of the script 💰 baseRiskAmount = accountSize * (baseRiskPercent / 100) adjustedRisk = baseRiskAmount * behavioralFactor * regimeAdjustment * volAdjustment * correlationAdjustment finalRiskAmount = math.min(adjustedRisk, accountSize * (maxRiskCap / 100)) stopDistance = atr * atrStopMultiplier takeProfit = atr * atrTargetMultiplier positionSize = stopDistance > 0 ? finalRiskAmount / stopDistance : 0 positionValue = positionSize * close Outputs shown on the dashboard: Position size in units and value in currency. Actual risk % back on account after adjustments. Risk/Reward derived from ATR-based stop and target. --- 7. Intelligent trade direction – bias without signals 🎯 Direction score ingredients: EMA stack alignment. Price versus EMA20. RSI momentum relative to 50. MACD line vs signal. Directional Movement (DI+/DI–). The resulting Trade Direction row prints LONG, SHORT, or NEUTRAL. No orders are generated—this is guidance so you only risk capital when the structure supports it. --- 8. Stop/target guide lines – two lines only ✂️ if showStopLines if preferLong // long stop below, target above else if preferShort // short stop above, target below Lines refresh each bar to keep clutter low. When the direction score is neutral, no lines appear. Use them as visual anchors, not auto-orders. --- 9. Session Risk map – global volatility clock 🌍 Tracks Asian, London, and New York windows via UTC. Computes average ATR per session versus global ATR SMA. Labels each session High/Med/Low and colours the cells accordingly. Top row shows the active session plus current UTC time so you always know the regime you are trading. One glance tells you whether you are trading quiet drift or the part of the day that hunts stops. --- 10. Floating risk badge – honesty above price 🪪 Text ranges from Ultra Cautious through Very Aggressive. Colour matches the risk palette inputs (High/Med/Low). Updates on the last bar only, keeping historical clutter off the chart. Account risk becomes impossible to ignore while you stare at price. --- 11. Education engine & warnings 📚 Rotates evergreen principles (risk 1–2%, journal trades, respect plan). Triggers contextual warnings when volatility and risk % conflict. Flags when emotional state = FOMO or Revenge. Highlights sub-standard risk/reward setups. When multiple danger flags stack, an AI-style warning overrides the tip text so you can course-correct before capital is exposed. --- 12. Alerts – hard guard rails 🚨 Excessive Risk Alert : actual risk % crosses custom threshold. High Volatility Alert : ATR behaviour signals danger regime. Emotional State Warning : FOMO or Revenge selected. Poor Risk/Reward Alert : risk/reward drops below your standard. All alerts reinforce discipline; none suggest entries or exits. --- 13. Multi-market behaviour 🕒 Intraday (1m–1h): session box and badge react quickly; ideal for scalpers needing constant risk context. Higher time frames (1D–1W): dashboard shifts slowly, supporting swing planning. Asset classes confirmed in validation: crypto majors, large-cap equities, indices, major FX pairs, and liquid commodities. Risk logic is price-based, so it adapts across markets without bespoke tuning. 15. Key inputs & recommended defaults Account Size : 10,000 (modify to match actual account; min 100). Base Risk % : 1.0 with a Maximum Risk Cap of 2.5%. ATR Period : 14, Stop Multiplier 2.0, Target Multiplier 3.0. High Vol Threshold : 1.5 for ATR ratio. Behavioural Adjustment : enabled by default; disable for fixed risk. Correlation Check : optional; default symbol AMEX:SPY , threshold 0.7. Display toggles : main dashboard, risk badge, session map, education panel, and stop lines can be individually disabled to reduce clutter. 16. Usage notes & limits Indicator mode only; no automated entries or exits. Trade history panel intentionally disabled (requires strategy context). Correlation analysis depends on additional data requests and may lag slightly on illiquid symbols. Session timing uses UTC; adjust expectations if you trade localized instruments. HTF ATR sampling uses daily data, so bar replay on lower charts may show brief data gaps while HTF loads. What does everyone think RISK really means?
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
2
Viprasol Elite Advanced Pattern Scanner# 🚀 Viprasol Elite Advanced Pattern Scanner ## Overview The **Viprasol Elite Advanced Pattern Scanner** is a sophisticated technical analysis tool designed to identify high-probability double bottom (DISCOUNT) and double top (PREMIUM) patterns with unprecedented accuracy. Unlike basic pattern detectors, this elite scanner employs an AI-powered quality scoring system to filter out false signals and highlight only the most reliable trading opportunities. ## 🎯 Key Features ### Advanced Pattern Detection - **DISCOUNT Patterns** (Double Bottoms): Identifies bullish reversal zones where price may bounce - **PREMIUM Patterns** (Double Tops): Detects bearish reversal zones where price may decline - Multi-point validation system (5-point structure) - Symmetry analysis with customizable tolerance ### 🤖 AI Quality Scoring System Each pattern receives a quality score (0-100) based on: - **Symmetry Analysis** (32% weight): How closely the two bottoms/tops match - **Trend Context** (22% weight): Strength of the preceding trend using ADX - **Volume Profile** (22% weight): Volume confirmation at key points - **Pattern Depth** (16% weight): Significance of the pattern's price range - **Structure Quality** (16% weight): Overall pattern formation quality Quality Grades: - ⭐ **ELITE** (88-100): Highest probability setups - ✨ **VERY STRONG** (77-87): Strong trade opportunities - ✓ **STRONG** (67-76): Valid patterns with good potential - ○ **VALID** (65-66): Acceptable patterns meeting minimum criteria ### 🎯 Intelligent Target System Three target modes per pattern direction: - **Conservative**: 0.618 Fibonacci extension (safer, closer targets) - **Balanced**: 1.0 extension (moderate risk/reward) - **Aggressive**: 1.618 extension (higher risk/reward) Targets automatically adjust based on pattern quality score. ### 🔧 Advanced Filtering Options - **Volatility Filter (ATR)**: Excludes patterns during extreme volatility - **Momentum Filter (ADX)**: Ensures sufficient trend strength - **Liquidity Filter (Volume)**: Confirms adequate trading volume ### 📊 Pattern Lifecycle Management - Real-time neckline tracking with extension multiplier - Pattern invalidation after extended wait period - Breakout/breakdown confirmation - Reversal detection (pattern failure scenarios) - Target achievement tracking ### 🌈 Premium Visual System - Color-coded quality levels - Cyber-themed color scheme (Neon Green/Hot Pink/Purple/Cyan) - Transparent fills for pattern zones - Dynamic labels with pattern information - Elite dashboard showing live pattern stats ## 📈 How To Use ### Basic Setup 1. Add indicator to your chart 2. Enable desired patterns (DISCOUNT and/or PREMIUM) 3. Adjust quality threshold (default: 65) - higher = fewer but better signals 4. Set your preferred target mode ### Trading DISCOUNT Patterns (Bullish) 1. Wait for pattern detection (labeled points 1-4) 2. Check quality score on dashboard 3. Entry on breakout above neckline (point 5) 4. Stop loss below the lowest bottom 5. Target shown automatically based on your mode 6. ⚠️ Watch for pattern failure (break below bottoms = SHORT signal) ### Trading PREMIUM Patterns (Bearish) 1. Wait for pattern detection (labeled points 1-4) 2. Check quality score on dashboard 3. Entry on breakdown below neckline (point 5) 4. Stop loss above the highest top 5. Target shown automatically based on your mode 6. ⚠️ Watch for pattern failure (break above tops = LONG signal) ## ⚙️ Input Settings Guide ### 🔍 Detection Engine - **Left/Right Pivots**: Higher = fewer but cleaner patterns (default: 6/4) - **Min Pattern Width**: Minimum bars between bottoms/tops (default: 12) - **Symmetry Tolerance**: Max % difference allowed between levels (default: 1.8%) - **Extension Multiplier**: How long to wait for breakout (default: 2.2x pattern width) ### ⭐ Quality AI - **Min Quality Score**: Only show patterns above this score (default: 65) - **Weight Distribution**: Customize what matters most (symmetry/trend/volume/depth/structure) ### 🔧 Filters - **Volatility Filter**: Avoid choppy markets (recommended: ON) - **Momentum Filter**: Ensure trend strength (recommended: ON) - **Liquidity Filter**: Volume confirmation (recommended: ON) ### 💎 Target System - Choose target aggression for each pattern type and direction - Higher quality patterns get adjusted targets automatically ## 🎨 Visual Customization - Adjust colors for DISCOUNT/PREMIUM patterns - Set quality-based color coding - Customize label sizes - Toggle dashboard visibility and position - Show/hide historical patterns ## 🚨 Alert System Set up TradingView alerts for: - 🚀 **LONG Signals**: DISCOUNT breakout, PREMIUM failure - 📉 **SHORT Signals**: PREMIUM breakdown, DISCOUNT failure - ✅ **Target Achievement**: When price hits your target ## 💡 Pro Tips 1. **Higher Timeframes = Better Signals**: Patterns on 4H, Daily, Weekly are more reliable 2. **Quality Over Quantity**: Focus on ELITE and VERY STRONG grades 3. **Combine with Trend**: DISCOUNT in uptrend, PREMIUM in downtrend = best results 4. **Watch Pattern Failures**: Failed patterns often provide strong counter-trend signals 5. **Adjust for Your Style**: Intraday traders use Conservative, swing traders use Aggressive ## 🔒 Pattern Invalidation Patterns become invalid if: - No breakout/breakdown within extension period - Support/resistance levels are broken prematurely - Pattern shown in faded colors = no longer active ## ⚠️ Risk Disclaimer This indicator is a tool for technical analysis and does not guarantee profitable trades. Always: - Use proper risk management - Combine with other analysis methods - Never risk more than you can afford to lose - Past performance does not indicate future results
อินดิเคเตอร์ Pine Script®
โดย viprasol
Trend BG v2Trend BG v2 colors the chart background based on Directional Movement (DM) and DI strength. It provides an easy visual way to identify trending and non-trending conditions on any timeframe. How It Works The script calculates: Upward Directional Movement (DM+) Downward Directional Movement (DM–) True Range smoothed with RMA (14-period) Positive DI and Negative DI values from classic ADX logic The trend state is determined by comparing +DI vs –DI: +DI > –DI → Uptrend –DI > +DI → Downtrend Otherwise → Neutral / Sideways The script then applies a background color based on the detected trend. Color transparency and theme can be adjusted using the input options. Why This Script Is Useful Instead of plotting DI lines or ADX curves, this version presents the trend directly on the background, making it ideal for: Quick trend recognition Visual filtering of choppy vs trending markets Enhancing manual or automated setups Intraday scalping, positional trend following, and multi-timeframe analysis The background display is subtle, customizable, and does not interfere with other indicators on the chart. Key Features Trend-colored chart background (Up / Down / Neutral) Adjustable color palette and transparency Built using classic Directional Movement logic Works on all markets and all timeframes Lightweight and efficient (no repainting) How to Use It Apply the indicator on your chart and use the background colors to: Align trades with the market trend Avoid trading during neutral or low-momentum periods Confirm trend direction before entries Improve clarity when using your existing indicators This indicator does not generate buy/sell signals by itself; instead, it helps visualize the underlying trend environment so traders can make more informed decisions.
อินดิเคเตอร์ Pine Script®
โดย Ramesh_G
Kai GoNoGo 2mKai GoNoGo 2m is a multi-factor trend confirmation system designed for fast intraday trading on the 2-minute chart. It combines EMAs, MACD, RSI and ADX through a weighted scoring model to generate clear Go / NoGo conditions for both CALL (long) and PUT (short) setups. The indicator paints the candles with pure colors to show the current strength of the trend: Strong Go (Bright Blue): Full bullish alignment across EMAs, momentum and trend strength. Weak Go (Light Blue): Bullish structure but with softer momentum. Weak NoGo (Light Pink): Bearish structure starting to develop. Strong NoGo (Bright Pink): Full bearish alignment across all components. Neutral (Gray): No trend, compression or transition phase. Components included: EMA Trend Structure (9/21/50/100/200) MACD Momentum (12-26-9) RSI Confirmation (14) ADX Trend Strength Filter via DMI (14,14) Scoring system inspired by the original GoNoGo concept, improved for speed-based trading. Designed for: Scalping, 0DTE options, FAST trend continuation entries, and momentum confirmation on QQQ, SPY, NQ, ES and high-beta names. This version uses pure colors (no gradients) for maximum clarity when trading fast charts.
อินดิเคเตอร์ Pine Script®
โดย dgr_abogado
1
able MACD Overview Purpose: The indicator combines the traditional MACD (Moving Average Convergence Divergence) with a short-term “forecast” (projection) of MACD/histogram values to give early warning of momentum changes. Typical outputs: MACD line (fastEMA − slowEMA) Signal line (EMA of MACD) Histogram (MACD − signal) Forecasted MACD or histogram projected N bars ahead Optional buy/sell markers and alert conditions Add the indicator to TradingView (Installation) Open TradingView and the chart you want to apply the indicator to. Click “Pine Editor” at the bottom of the chart. Copy the contents of able_macd_forecast.pine into the Pine Editor window. Click “Add to chart” (or Save then Add to chart). If it’s a study, it will appear on the chart below price. If you plan to re-use the script, click Save and give it a meaningful name. Inputs / Parameters (typical) Note: exact input names may differ in your script. Replace the names below with the script’s input labels when you inspect it. Source: price source for calculations (close, hl2, etc.). Fast Length: length for the fast EMA (commonly 12). Slow Length: length for the slow EMA (commonly 26). Signal Length: length for the MACD signal EMA (commonly 9). Forecast Length / Horizon: how many bars ahead the script projects the MACD/histogram (e.g., 1–5). Forecast Method / Smoothing: choice of projection method (linear regression, EMA extrapolation, simple slope * N, etc.) if available. Histogram Thresholds: numeric thresholds to emphasize significant momentum (optional). Show Forecast: toggle on/off the forecast plot. Alerts On/Off toggles: enable or disable alert conditions baked into the indicator. Visual / Style settings: colors, plot thickness, histogram style (columns/areas), show labels, show buy/sell arrows. How the indicator is typically calculated (summary) MACD line = EMA(source, fast) − EMA(source, slow) Signal line = EMA(MACD line, signal length) Histogram = MACD − Signal Forecast = method-specific short-term projection of MACD or histogram (for example: extend the last slope forward, apply linear regression to MACD values and extrapolate N bars, or apply an additional smoothing and extend that value) Note: For exact math, I need to inspect the script; this is the typical approach. How to read the indicator (signals & interpretation) Bullish signal: MACD line crossing above the signal line (MACD cross up). Histogram turns positive (cross above zero). Forecast shows MACD/histogram moving higher in the next N bars (if forecast is positive or trending up). Bearish signal: MACD line crossing below the signal line (MACD cross down). Histogram turns negative (cross below zero). Forecast shows MACD/histogram moving lower ahead. Confirmations: Use price action (higher highs/lows for bullish, lower highs/lows for bearish). Volume or other momentum/confluence indicators (RSI, ADX). Divergences: Bullish divergence: price makes lower low while MACD histogram makes higher low. Bearish divergence: price makes higher high while MACD histogram makes lower high. Forecast behavior: If the forecast leads the MACD cross (forecast crosses before the current MACD does), it’s an early warning. Use caution: forecasts are prone to false signals; always confirm. Common trading setups using this indicator Conservative: Wait for MACD to cross signal + histogram above zero + forecast already trending same direction. Use stop below recent swing low (for long) or above recent swing high (for short). Aggressive (early entry): Enter when forecast turns positive while MACD still below signal (anticipating cross). Use tighter stops and smaller position sizes. Exit rules: Opposite MACD cross, histogram flipping sign, or a target based on risk-reward. Use trailing stop based on ATR or structure. Example settings for different timeframes (starting points) Scalping / 5–15 min: Fast 8, Slow 21, Signal 5, Forecast 1–2 Intraday / 1H: Fast 12, Slow 26, Signal 9, Forecast 2–3 Swing / 4H–Daily: Fast 12, Slow 26, Signal 9, Forecast 3–5 Adjust based on the asset volatility and backtests. Adding alerts (TradingView) Click the “Alerts” button (clock icon) or press Alt + A. In the Condition dropdown, select the indicator name (able_macd_forecast) and choose a plotted series or built-in alert condition (if the script uses alertcondition). Common alert types: MACD crosses Signal (Crossing) Histogram crosses 0 (Crossing) Forecast crosses 0 or Forecast trend change (if provided) Message templates: “{{ticker}}: MACD crossed above signal on {{interval}}” “{{ticker}} Forecast positive: MACD forecast shows upward momentum” Customize the message for your trade automation or notifications. Configure frequency (Only once, Once per bar, or Once per bar close) — for signals like crossovers, “Once per bar close” is usually safer to avoid repainting issues. Note: If the script includes alertcondition() calls with explicit IDs/messages, use those directly — they are the most reliable for automation. Backtesting / Strategy conversion If this script is a study (indicator), you can: Convert it to a strategy by adding strategy.* order calls (strategy.entry, strategy.close) using the entry/exit logic you prefer, or Use TradingView’s “Bar Replay” to manually test signals across different markets/timeframes. If you want, I can help convert or write a strategy wrapper that uses the indicator’s signals to place backtest trades (I’ll need the code). Practical tips & best practices Use higher timeframe confirmation for lower-timeframe entries (e.g., check daily MACD momentum before trading 15m signals). Beware of choppy markets; MACD / forecast may produce whipsaws. Combine with trend filters (moving average direction, ADX). If you rely on forecasted values, prefer alerts “on bar close” when possible to reduce false alerts from intra-bar noise. Tune parameters for the specific asset (FX, crypto, stocks have different behavior). Record each signal and outcome for a sample period (20–100 trades) to evaluate performance. Troubleshooting Indicator won’t add: verify Pine version in script header (//@version=4 or //@version=5). TradingView may reject scripts with unsupported version syntax. Plots missing: check script inputs (Some scripts hide plots if toggles are off). Alerts firing too often: change alert frequency to “Once per bar close” or adjust threshold values. Forecast seems to repaint: some forecast methods can repaint (use “bar_index” or store values only on closed bars, or use non-repainting forecast methods). Ask me to inspect the script for repainting logic. What I can do next (recommended) If you paste the content of able_macd_forecast.pine here, I will: Produce a precise, line-by-line usage guide mapping to the exact input names and default values. Show the exact plotted series names and how to reference them for alerts. Point out any repainting risks and suggest fixes. Provide example alert messages that match the script’s alertcondition IDs (if any). Optionally convert it into a strategy for backtesting, or add non-repainting forecast logic if needed.
อินดิเคเตอร์ Pine Script®
โดย Able-terminal
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