Gold And Silver Macro Dashboard A weekly, macro-focused dashboard for precious metals that tracks gold’s trend plus three key relative-strength ratios: Gold/DXY, Gold/SPY, and Silver/Gold. Uses a 30-week SMA regime filter to label each series as Bull / Neutral / Bear and provides a quick “full picture” read.
What this indicator does
This dashboard helps you read the big picture for precious metals using a simple regime framework (weekly + 30-week SMA). It combines four signals into one view:
Gold (XAUUSD) — establishes the core precious-metals trend
Gold / DXY — shows whether gold is outperforming the U.S. dollar
Gold / SPY — shows whether gold is outperforming U.S. equities (risk assets)
Silver / Gold — shows whether risk appetite is returning inside metals (silver leadership)
How it works (simple rules)
Each item is classified using the same weekly regime logic:
Bull: price/ratio is above a rising 30-week SMA
Bear: price/ratio is below a falling 30-week SMA
Neutral: everything else (transition/range)
How to use it (30-second weekly scan)
Start with Gold: if Gold is Bull, metals have a tailwind.
Confirm with Gold/DXY: Bull means gold is beating fiat.
Confirm with Gold/SPY: Bull means gold is beating risk assets.
Use Silver/Gold to size aggressiveness: Bull implies reflation/confidence and often stronger silver participation.
Best timeframe
Designed for Weekly charts. The script can force weekly calculations, so it remains consistent even if you view other timeframes.
Customization
Change tickers if your preferred feed differs (OANDA spot vs futures vs ETFs).
Toggle the plotted lines on/off and keep only the dashboard table if you want a cleaner screen.
Important note
This is a macro regime tool for orientation and context. It is not meant to time entries/exits on lower timeframes.
Default symbols are:
Gold: OANDA:XAUUSD
Silver: OANDA:XAGUSD
Dollar Index: TVC:DXY
SPY: AMEX:SPY
Core Rule: Gold tells you WHEN metals matter. Ratios tell you WHY and HOW aggressive to be.
Bull across all four = strongest PM regime. Mixed readings = transition. Gold Bull + Silver/Gold Bear = defensive gold-led phase.
トレンド分析
FranPL - Psychological LevelsIt automatically draws horizontal lines fixed to the right-hand price scale at every price level ending in 00, 20, 50, and 80. These levels are commonly watched by traders as areas where price often reacts, pauses, or reverses.
The lines remain anchored to price, updating dynamically as the market moves, and stay aligned with the price scale rather than drifting with time. The indicator works across all markets and timeframes.
FranPL is fully customizable through the settings, allowing the user to adjust the line color, thickness, and length, making it easy to match personal chart preferences while keeping the chart clean and uncluttered.
Overall, FranPL provides a clear, consistent visual framework for identifying important psychological levels to support entries, exits, and risk management.
Multi-Filter Momentum Candle Strategy (Non-Repaint)Momentum Candle Precision Scanner is a price action–based indicator designed to detect high-quality momentum candles after consolidation phases.
It combines candle structure analysis, volume confirmation, ATR control, consolidation filtering, and higher timeframe EMA trend alignment to reduce false signals.
⚠️ This indicator is NOT standalone and MUST be used together with an external RSI indicator.
RSI is intentionally not included in the script to allow traders full flexibility in choosing their preferred RSI settings.
🎯 Purpose
This indicator helps traders:
Identify valid impulsive candles, not just large candles
Avoid entries during sideways or consolidation zones
Trade in alignment with the higher timeframe trend
Improve entry selectivity through a scoring-based validation system
⚙️ Core Logic Explained
1️⃣ Momentum Candle Structure
Candle body must fall within a predefined pip range
Minimum body-to-range ratio is required
Upper and lower wick percentages are strictly limited
This helps filter out candles caused by noise or fake breakouts.
2️⃣ Volume Confirmation
Current volume must be above its moving average
Ensures momentum is supported by market participation
3️⃣ ATR-Based Control
Candle body size is capped using ATR
Prevents signals during abnormal volatility spikes (e.g., news events)
4️⃣ Consolidation Filter (Box & Core Zone)
A dynamic price box is built from recent candles
Signals are ignored inside the core consolidation zone
Focuses entries on breakout or expansion phases
5️⃣ Scoring System
Each candle is evaluated using a weighted score:
Candle body quality
Wick structure
Volume strength
ATR validity
Position relative to consolidation
Signals are triggered only when the minimum score threshold is met.
📈 Trend Filtering (EMA HTF & Current TF)
Higher Timeframe EMA defines the main trend direction
Current Timeframe EMA reflects local momentum
Options available:
Trade with HTF trend only
Or allow counter-trend signals (user controlled)
🚨 Alert Feature
Alerts can trigger minutes before candle close
Designed for traders who wait for near-close confirmation
⚠️ IMPORTANT – RSI IS REQUIRED
This indicator does NOT include RSI internally.
📌 You must add an external RSI indicator and use it as:
Additional momentum confirmation
Overbought / oversold filter
Trend strength validation
👉 General RSI usage example:
Buy setups → RSI above 50 and strengthening
Sell setups → RSI below 50 and weakening
(Users are free to adapt RSI settings to their own strategy.)
🛠️ Recommended Usage
Best suited for M5
Optimized for XAUUSD
Can be adapted to other instruments by adjusting pip size
📌 Disclaimer
This indicator is a technical analysis tool, not a trading system.
No guarantees of profitability. Always apply proper risk management, RSI confirmation, and personal backtesting before live trading.
Institutional Scanner FixHere is a professional Pine Script (Version 5) for TradingView. It is optimized to precisely identify the "Absorption" and "Reversal" signals.
What this script does for you:
Auto-Fibonacci: It automatically calculates the 0.618 Golden Ratio of the last 50 candles.
Volume Delta Check: It calculates the delta (buy volume minus sell volume) per candle.
Signal: It marks a "Buy Absorption" when the price touches the 0.618 level but the delta turns positive (green arrow).
The Volume Multiplier is your scanner's "sensitivity knob." It determines how much more volume compared to the average must flow for a signal to be classified as institutionally relevant. Here is the bank standard for calibration, based on your trading strategy and the asset's liquidity:
The rule-of-thumb values for the multiplier
Strategy Type | Recommended Value | Logic
Conservative (High Conviction) | 2.0 to 2.5 | Only extreme volume spikes are marked. Good for swing trades on a daily basis.
Standard (Day Trading) | 1.5 to 1.8 | The "sweet spot." Marks volume that is approximately 50-80% above average.
Aggressive (Scalping) | 1.2 to 1.3 | Reacts very quickly to small order flow changes but produces more "noise" (false signals).
ICT Algo: Sweep + MSS + High Prob FVG/IFVGThis script is a comprehensive execution tool based on Inner Circle Trader (ICT) concepts, specifically designed to identify high-probability entries by combining Liquidity Sweeps, Market Structure Shifts (MSS), and Fair Value Gaps (FVG/IFVG).
Unlike standard FVG indicators that highlight every gap on the chart, this "Algo" version filters for gaps that occur specifically after a liquidity purge and a shift in structure, ensuring you are only looking at setups with institutional backing.
How It Works
The script follows a strict 3-step validation process before plotting a signal:
Liquidity Sweep (The Context): The script tracks Higher Timeframe (HTF) levels including Previous Day High/Low, Weekly High/Low, and Monthly High/Low. A setup is only considered valid if price has recently "swept" one of these levels, indicating a hunt for liquidity.
Market Structure Shift (The Confirmation): Once a sweep occurs, the script looks for a displacement in the opposite direction. It identifies a "Pivot High/Low" (customizable length) and waits for a candle body to close beyond it (MSS).
Filtered Entry (The Trigger): * FVG: Plots a standard Fair Value Gap if it forms within a "Deep Value" zone (Discount for longs, Premium for shorts).
IFVG (Inversion FVG): Highlights failed FVGs that have been reclaimed by price to act as support or resistance.
Key Features
Multi-Timeframe Liquidity Filters: Automatically plots PDH/L, PWH/L, PMH/L, and PYH/L. You can toggle which levels act as your sweep triggers.
Deep Value Logic: The script uses built-in logic to ensure Bullish FVGs are only highlighted when price is below a key liquidity level (Discount), and Bearish FVGs when price is above (Premium).
Dynamic Box Management: To keep your chart clean, boxes for FVGs and IFVGs are automatically shortened ("cut") once they are mitigated by price.
Inversion Logic: Includes a specialized toggle for Inversion Fair Value Gaps, allowing you to trade "failed" gaps that flip their polarity.
Settings & Customization
Entry Setup Bias: Choose to see only Bullish, only Bearish, or Both setups.
MSS Pivot Length: Adjust how "sensitive" the Market Structure Shift detection is. A higher number requires a more significant swing to be broken.
Sweep Lookback: Defines how many bars back the script looks for a liquidity sweep to remain "active" for a setup.
Include Opens: Optional toggle to include Previous Day/Week/Month Opens as liquidity points.
Usage Tips
The Golden Setup: Look for a sweep of a Previous Day High, followed by a Bearish MSS, and an entry at the Red FVG box.
Risk Management: This indicator is designed for entry identification. Always use stop losses (usually placed above/below the candle that created the FVG or the MSS swing point).
Timeframes: Best used on execution timeframes (1m, 5m, 15m) while the script handles the HTF levels automatically.
Disclaimer: This script is an educational tool and does not constitute financial advice. Trading involves significant risk. Past performance of a strategy does not guarantee future results.
Credits: Concepts based on the teachings of Michael J. Huddleston (ICT).
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
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🎯 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
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🧠 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).
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✅ 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
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✅ 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
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✅ 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
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🎨 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
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⚙️ 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
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📊 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
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🔔 Alerts
Falling wedge breakout ⇒ Buy
Rising wedge breakout ⇒ Sell
Any wedge breakout
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⚠️ 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.
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🔺 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
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🎯 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
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🧠 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).
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✅ 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
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✅ 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
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✅ 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
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🎨 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
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⚙️ 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
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📊 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
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🔔 التنبيهات
كسر وتد هابط ⇒ شراء
كسر وتد صاعد ⇒ بيع
أي كسر وتد
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⚠️ 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.
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud
Overview
The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator.
Key Features
Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure.
Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility.
Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases.
High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop.
Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis.
How It Works
The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction.
Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries.
Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance.
Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud.
How multiple indicators work together
In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both:
The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends.
The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction.
By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend.
Trading Ideas and Insights
Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions.
Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend).
Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration.
Unique Aspects
Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction.
Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly.
How to Use
Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure.
Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact.
Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal.
Customization
Users can fully customize the indicator via the settings menu:
Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets.
Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states.
Conclusion
The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
Aether | SkyWalker Cloud Algo☁️ Aether | SkyWalker Cloud Algo
The SkyWalker Cloud Algo is a high-confluence trend-following system designed to filter out market noise and capture significant volatility expansions. By combining a sensitive trailing stop engine (UT Bot) with a "Tri-Factor" of momentum, volume, and trend filters, this script visualizes the market as a navigational flight path—keeping you in the clear "Blue Sky" during uptrends and alerting you to "Storms" during downtrends.
🧠 The Logic Behind the Cloud
This script is not just a buy/sell signal generator; it is a Confluence Engine. A signal is only generated when the core cloud logic aligns with specific atmospheric conditions (Filters).
1. The Core Engine: Variable Sensitivity Cloud (UT Bot)
At its heart, the script uses a modified ATR Trailing Stop (often known as the UT Bot).
Ascend (Bullish): When price breaks above the trailing "Updraft" line.
Descend (Bearish): When price breaks below the trailing "Downdraft" line.
Customization: You can tweak the Sensitivity (ATR Period) and Smoothness (Key Value) to fit any timeframe, from scalping (1m) to swing trading (4H+).
2. The Confluence Filters (The Weather System)
To prevent false signals in choppy markets, the "SkyWalker" logic checks three distinct market forces before confirming a trade:
🌬️ Prevailing Wind (Supertrend): Ensures you are trading in the direction of the macro trend. If the wind is against you, the signal is grounded.
🌡️ Atmospheric Pressure (QQE Mod): Uses a smoothed RSI with volatility bands to detect genuine momentum shifts. It ensures there is enough "pressure" to sustain the move.
💧 Vapor Flow (Chaikin Money Flow): Analyzes volume flow. A Buy signal requires positive money flow (Inflow), and a Sell requires negative money flow (Outflow).
3. Market Structure (SMC)
Optional Filter: You can enable the SMC Structure Alignment in the settings. This forces the algorithm to only take Longs when the market is making Higher Highs and Shorts when making Lower Lows, adding an extra layer of safety.
🌤️ Visuals & The "Flight Deck"
The script completely overhauls the standard chart visual to keep your focus on price action and targets.
Aether Mist: The space between the price and the trailing stop is filled with a dynamic cloud, providing an instant visual read on trend strength.
Dynamic Targets (TP/SL): When a signal fires, the script automatically projects Take Profit and Stop Loss lines on your chart based on volatility (ATR). These lines update in real-time.
The Flight Deck (Dashboard): Located in the corner of your chart, this panel provides a real-time status report of your filters (Wind, Barometer, Flow) and tracks the "Flight Accuracy" (Win Rate) of the signals on the current chart history.
🛠️ How to Use
Entry: Wait for a "🌤️ ASCEND" (Long) or "⛈️ DESCEND" (Short) label. This confirms that price has broken the cloud and all enabled filters (Supertrend, QQE, CMF) are in agreement.
Stop Loss: Place your initial stop at the dotted white line provided by the signal.
Take Profit: Aim for the dashed colored line (Dynamic TP). Alternatively, you can ride the trend until the Cloud changes color.
Trailing: If the "Show Trailing Cloud" option is on, the SL line will move with the price, locking in profits as the trend continues.
⚙️ Settings Overview
Updraft/Downdraft Sensitivity: Lower numbers = faster signals (scalping); Higher numbers = fewer signals (swinging).
Confluence Group: Toggle the Supertrend, QQE, or CMF filters on/off individually to loosen or tighten the strategy.
Visuals: Toggle the Dashboard, TP/SL lines, or the background cloud fill.
Smart Fixed Volume Profile [MarkitTick]💡 This comprehensive analysis suite integrates Auction Market Theory, structural gap analysis, and statistical liquidity strain modeling into a single, cohesive toolkit. Designed for traders who require a granular view of institutional order flow, this indicator overlays a Fixed Range Volume Profile with intelligent price gap classification and a volatility-adjusted exhaustion detector. By combining these three distinct analytical dimensions, it allows users to identify value consensus, structural breakouts, and potential market turns driven by liquidity shortages.
✨ Originality and Utility
While standard Volume Profiles display where trading occurred, this script advances the concept by contextually analyzing *how* price arrived at those levels. It solves the problem of isolated analysis by fusing three disparate methodologies:
Contextual Integration: It does not merely show support and resistance; it qualifies moves using "Smart Gaps" (classifying gaps based on market structure) and "Liquidity Strain" (identifying unsustainable price velocity).
Institutional Footprint: The inclusion of an "Unusual Volume" highlighter within the profile bars helps traders spot hidden institutional accumulation or distribution blocks that standard profiles miss.
Hybrid Logic: By combining a fixed-time profile (anchored to specific dates) with dynamic, developing gap analysis, it provides both a static roadmap of the past and a dynamic interpretation of current price action.
🔬 Methodology and Concepts
• Fixed Volume Profile Engine
The core of the indicator constructs a volume distribution histogram over a user-defined time window. It utilizes a custom aggregation engine that:
Fetches higher-timeframe volume and price data to ensure accuracy.
Segments the price range into specific "bins" or rows.
Allocates volume to these bins based on price action within the bar, separating Buying Volume (Up bars) from Selling Volume (Down bars).
Calculates the Point of Control (POC) —the price level with the highest traded volume—and the Value Area , which contains 70% (customizable) of the total volume centered around the POC.
• Smart Gap Logic
The script systematically identifies price gaps and classifies them based on their location relative to market pivots (Highs/Lows):
Breakaway Gaps: Occur when price gaps beyond a significant structural pivot (Lookback High/Low), signaling a potential trend initiation.
Runaway Gaps: Occur within an existing trend without breaking structure, indicating trend continuation.
Exhaustion Gaps: Identified when a gap occurs late in a mature trend (measured by bar count since the last pivot) accompanied by a volume spike, suggesting the trend is overextended.
• Liquidity Strain Detector
This module utilizes a statistical approach to measure market stress. It calculates "Illiquidity" by analyzing the ratio of True Range to Volume (Price Impact).
It applies a Logarithmic transformation to normalize the data.
It calculates a Z-Score (Standard Deviation from the mean) of this impact.
If the Z-Score exceeds a threshold (e.g., 2.0 Sigma) while the trend opposes the price move, it triggers an exhaustion signal, indicating that price is moving too easily on too little volume (thin liquidity).
🎨 Visual Guide
• Volume Profile Elements
Histogram Bars: Horizontal bars representing volume at price. Cyan indicates bullish volume; Red indicates bearish volume.
Unusual Volume Highlight: Bars with volume exceeding the average by a set factor (default 2x) are highlighted with brighter, distinct overlays to denote institutional interest.
POC Line: A solid Yellow line marking the price level with the highest volume.
VAH / VAL Lines: Dashed Blue lines marking the Value Area High and Value Area Low.
Background Box: A grey shaded area encapsulating the entire time and price range of the profile.
• Smart Gap Boxes
Blue Box (Breakaway): Marks the start of a new structural move.
Orange Box (Runaway): Marks continuation gaps in the middle of a trend.
Red Box (Exhaustion): Marks potential trend termination points.
Dotted Lines: Extend from the center of gap boxes to serve as future support/resistance levels. These boxes are automatically deleted if price "fills" or violates the gap level.
Note: This tool incorporates core components from [ Smart Gap Concepts ], optimized for this specific strategy.
• Liquidity Signals
Green Label (SE): "Seller Exhaustion" – Appears below bars in a downtrend when selling pressure is statistically overextended.
Red Label (BE): "Buyer Exhaustion" – Appears above bars in an uptrend when buying pressure is statistically overextended.
Note: This tool incorporates core components from [ Liquidity Strain Detector ], optimized for this specific strategy.
📖 How to Use
• Interactive Range Selection: This indicator features a flexible, interactive input system. Upon adding the script to your chart, execution is paused until the analysis range is defined. You will be prompted to click on the chart twice: first to establish the Start Date and second to establish the End Date. Once these anchor points are confirmed, the indicator will automatically load the data and generate the profile for the selected specific period.
● Strategies for Optimal Anchoring
the optimal starting and ending points for high-probability setups:
Swing Highs and Lows (Trend Analysis):
Anchor the Start Date at a major structural swing high or low and the End Date at the current price using the Extend to Present feature. This identifies the "Fair Value" for the entire price move .
Consolidation/Range Anchoring:
Set the Start Date at the first bar of a sideways range and the End Date at the breakout candle. This reveals the high-node volume clusters that will act as future support or resistance.
Session-Based Anchoring (Intraday):
Align the Start Date with the session open (e.g., London or New York open) to track institutional flow for that specific day .
Event-Driven Anchoring:
Place the Start Date on a significant news event or a Breakaway Gap identified by the script's Gap Engine. This helps determine if the new volume supports the direction of the gap.
Correction Cycles:
During a pullback, anchor the Start Date at the start of the correction to find the Value Area Low (VAL), which often serves as a tactical entry point for a trend continuation.
• Identifying Value:
Use the Value Area to gauge market consensus. Acceptance of price within the VA indicates balance. A breakout above VAH or below VAL suggests the market is searching for new value. The POC often acts as a magnet for price correction.
• Trading Breakouts:
Watch for Breakaway Gaps (Blue) that align with a move out of the Volume Profile's Value Area. This confluence increases the probability of a sustained trend.
• Spotting Reversals:
Combine Exhaustion Gaps (Red) with Liquidity Strain Signals (SE/BE) . If price gaps up into a low-volume node on the profile and prints a "Buyer Exhaustion" signal, it suggests the move is unsupported by liquidity and liable to reverse.
• Support and Resistance:
The extended dotted lines from the Smart Gap boxes act as dynamic support/resistance. A retest of a "Runaway Gap" is often a viable entry point for trend continuation.
⚙️ Inputs and Settings
• Global Profile:
Start/End Date: Define the exact window for the volume profile calculation.
Extend to Present: If checked, the profile updates with live data beyond the end date.
• Profile Settings:
Number of Rows: Determines the vertical resolution (granularity) of the histogram.
Value Area %: Default is 70%, representing one standard deviation of volume distribution.
Placement: Position the profile on the Left or Right of the defined range.
• Liquidity & Gaps:
Unusual Threshold: Multiplier of average volume to highlight institutional bars (default 2.0x).
Structure Lookback: Adjusts the sensitivity of pivot detection for gap classification.
Stress Threshold (Sigma): The Z-Score limit for triggering Liquidity Strain signals (default 2.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Auction Market Theory (AMT):
The script is grounded in AMT, which posits that the market's primary function is to facilitate trade. The Volume Profile visualizes this by displaying a bell curve of price distribution. The Value Area (typically 70%) corresponds to the First Standard Deviation in a normal Gaussian distribution, representing the area of "Fair Value" where buyers and sellers agree.
• Market Microstructure & Kyle’s Lambda:
The Liquidity Strain module draws conceptually from Kyle’s Lambda, a metric in market microstructure that measures market depth and price impact (Illiquidity). By calculating the ratio of price change (True Range) to Volume, the script approximates the "cost" of moving the market.
• Statistical Z-Score Normalization:
To make the liquidity data actionable, the script applies Z-Score normalization: Z = (X - μ) / σ . This converts raw illiquidity values into standard deviations from the mean. A Z-Score above +2.0 signifies a statistically significant anomaly—an outlier event where price moved excessively relative to the volume traded, often preceding a mean-reversion event.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
0.06% Price ChangePower indicator candle - Ideal for IntraDay Bank Nifty
Optiions Buying indicator - Trade after this candle + Doji + Continuity
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM)
OVERVIEW
Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders.
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THE CORE PROBLEM THIS INDICATOR ADDRESSES
Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context).
SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system.
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WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER
The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow:
LAYER 1: MOMENTUM FUEL GAUGE
This answers the question: "Does the current move still have energy?"
After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors:
Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range.
Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher.
Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation.
Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime.
These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where:
- Above 70% = Strong momentum (green)
- 40-70% = Moderate momentum (amber)
- Below 40% = Weak momentum (red)
- Below 20% = Exhausted (triggers EXIT warning)
The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate.
IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy.
LAYER 2: TRAP ZONE DETECTION
This answers the question: "Am I walking into a potential reversal area?"
Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points:
How it works:
1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot).
2. Recent swing points are stored (up to 10 of each type).
3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR.
4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones.
5. A Confluence Score is calculated based on cluster density and proximity to current price.
The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal.
CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data.
LAYER 3: VELOCITY ANALYSIS
This answers the question: "Is price moving favorably right now?"
Velocity measures how fast price is currently moving compared to its recent average:
Calculation:
- Current velocity = Absolute price change from previous bar divided by ATR
- Average velocity = Simple moving average of velocity over the lookback period
- Velocity ratio = Current velocity divided by average velocity
Classification:
- FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays.
- NORMAL (ratio 0.5 to 1.5) : Typical price movement speed.
- SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult.
The velocity score contributes 18% to the overall quality score calculation.
LAYER 4: SESSION AWARENESS
This answers the question: "Is this a good time to trade?"
Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment:
Session Times (all in UTC):
- A sia Session : 00:00 - 08:00 UTC
- London Session : 08:00 - 16:00 UTC
- New York Session : 13:00 - 21:00 UTC
- London/NY Overlap : 13:00 - 16:00 UTC
- Off-Peak : Outside major sessions
Session Quality Weighting:
- Overlap : 100 points (highest liquidity, best movement)
- London : 85 points
- New York : 80 points
- Asia : 50 points (tends to range more)
- Off-Peak : 30 points (lower liquidity, more false signals)
The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours.
Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing.
LAYER 5: VOLATILITY REGIME ADAPTATION
This answers the question: "How should I adjust for current market conditions?"
SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market:
HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections.
NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply.
LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility.
This adaptation prevents false signals during erratic markets and missed signals during quiet markets.
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THE SYNERGY: WHY THIS COMBINATION MATTERS
These five layers are not independent indicators placed on one chart. They form an interconnected system:
- A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime).
- The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals.
- Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones.
- The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals.
- Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours.
This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation.
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HOW THE QUALITY SCORE IS CALCULATED
The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short):
For Long Quality Score:
- Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise
- Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20)
- Velocity Component (18% weight) : Direct velocity score
- Session Component (17% weight) : Current session quality score
- Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA
For Short Quality Score:
- Same structure but reversed (bearish impulse direction, trap zone above, price below SMA)
The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions.
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SIGNAL TYPES AND WHAT THEY MEAN
SPM generates four types of signals, each with specific visual representation:
PRIME SIGNALS (Cyan Diamond)
These represent the highest quality confluence. Requirements:
- Quality score crosses above the Prime threshold (default 80)
- Bias aligns with signal direction
- Fuel is sufficient (above 40%)
- Session is active (not off-peak)
- Cooldown period has passed
Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above.
STANDARD SIGNALS (Green Triangle Up / Red Triangle Down)
These represent good quality setups. Requirements:
- Quality score crosses above the Standard threshold (default 75) but below Prime
- Same bias, fuel, and cooldown requirements as Prime
Standard signals appear as small triangles in green (long) or red (short).
CAUTION SIGNALS (Small Faded Circle)
These represent minimum threshold setups. Requirements:
- Quality score crosses above the Caution threshold (default 65) but below Standard
- Same additional requirements
Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions.
EXHAUSTION SIGNAL (Purple X with "EXIT" text)
This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to:
- Consider exiting existing positions
- Avoid entering new trades in the current direction
- Wait for new momentum to develop
All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars.
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READING THE CHART ELEMENTS
TRAP ZONES (Red Dashed Box with "TRAP XX%" Label)
These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity.
How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it.
ENTRY ZONES (Green Solid Box with "ENTRY" Label)
These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance).
How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur.
TARGET ZONES (Blue Dotted Box with "TARGET" Label)
These project potential take-profit areas based on ATR multiples, adjusted for:
- Current volatility regime (wider in high volatility, tighter in low)
- Impulse direction (larger targets when aligned with impulse)
- Nearby trap zones (targets adjust to avoid placing TP inside trap zones)
How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably.
STOP LEVEL (Orange Dashed Line with "STOP" Label)
This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists).
How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level.
Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act.
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UNDERSTANDING THE DASHBOARD (Top Right Panel)
The main dashboard provides comprehensive market context:
Row 1 - Header:
- "SPM " : Indicator name
- Market State : Current overall condition
Market States Explained:
- PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities.
- READY : Good conditions. Quality score meets standard threshold. Solid setups available.
- WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended.
- AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals.
- EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting.
Row 2-3 - Quality Bars:
- " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty)
- " DN ########## " : Visual meter for short quality
- The number on the right shows the exact quality score
Row 4 - Bias:
- Shows current directional lean: LONG, SHORT, or NEUTRAL
- Color-coded: Green for long, red for short, gray for neutral
Rows 5-7 (Full Mode Only) - Trade Levels:
- Entry : Suggested entry price for current bias direction
- Stop : Suggested stop-loss price
- Target : Projected take-profit price
Row 8 - Risk:Reward Ratio:
- Format : "1:X.X" where X.X is the reward multiple
- Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1
Row 9 - Fuel:
- Shows percentage and estimated bars remaining in parentheses
- Example : "72% (8)" means 72% fuel with approximately 8 bars remaining
- Color-coded : Green above 70%, amber 40-70%, red below 40%
Row 10-11 (Full Mode Only) - Market Conditions:
- Vol : Current volatility regime (HIGH/NORMAL/LOW)
- Speed : Current velocity zone (FAST/NORMAL/SLOW)
Row 12 - Session:
- Shows active trading session
- Color-coded by session type
Row 13 (Full Mode Only) - Remaining:
- Time remaining in current session (hours and minutes)
Row 14 (Conditional) - Trap Warning:
- Appears when a significant trap zone exists in your bias direction
- Shows direction (ABOVE/BELOW) and confluence percentage
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UNDERSTANDING THE QUICK PANEL (Bottom Left)
The Quick Panel provides essential information at a glance without looking away from price action:
Row 1: Current Bias and Quality Score (large text for quick reading)
Row 2: Market State
Row 3: Fuel Percentage
Row 4: Estimated Bars Remaining
Row 5: Risk:Reward Ratio
Row 6: Current Session
Both panels can be repositioned using the settings, and each can be toggled on/off independently.
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SETTINGS EXPLAINED
CORE SETTINGS:
Analysis Lookback (Default: 20)
Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise.
Swing Detection Length (Default: 5)
Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones).
Impulse Sensitivity (Default: 1.5)
Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant.
SIGNAL SETTINGS:
Prime/Standard/Caution Thresholds (Defaults: 80/75/65)
These control the quality score required for each signal tier. You can adjust these based on your preference:
- More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals
- More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality
Signal Cooldown (Default: 8 bars)
Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh.
Show Prime/Standard/Caution/Exhaustion Signals
Toggle each signal type on or off based on your preference.
ZONE DISPLAY:
Show Trap Zones / Entry Zones / Target Zones / Stop Levels
Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter.
Zone Transparency (Default: 88)
Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent.
Zone History (Default: 25 bars)
How far back zone boxes extend on the chart. Purely visual preference.
BACKGROUND:
Background Mode (Options: Off, Subtle, Normal)
Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely.
Background Type (Options: Bias, Fuel)
- Bias : Colors background based on current directional lean (green for long, red for short)
- Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low)
DASHBOARD / QUICK PANEL:
Show Dashboard / Show Quick Panel
Toggle each panel on or off.
Compact Mode
When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining.
Position Settings
Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left.
ALERTS:
Alert Prime Signals / Standard Signals / Fuel Exhaustion
Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur.
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RECOMMENDED TIMEFRAMES AND USAGE
OPTIMAL TIMEFRAMES:
- 1-minute to 5-minute : Best for active scalping with quick entries and exits
- 5-minute to 15-minute : Balanced scalping with slightly more confirmation
- 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals
Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes.
BEST PRACTICES:
1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better.
2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny.
3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions.
4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level.
5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1).
6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results.
7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context.
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PRACTICAL EXAMPLE
Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar.
Before entering, you check the dashboard:
- State shows "PRIME" - conditions are favorable
- Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars)
- R:R shows "1:2.3" - acceptable risk-to-reward ratio
- Session shows "LONDON" - active session with good liquidity
- No TRAP warning in dashboard - no immediate resistance cluster in your way
- Entry zone visible on chart at a lower price level
- Stop and Target zones clearly marked
With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade.
However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones.
This multi-factor confirmation delivered in a single glance is what SPM provides.
Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed.
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DATA WINDOW VALUES
For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected):
- Long Quality Score (0-100)
- Short Quality Score (0-100)
- Fuel Gauge (0-100%)
- Risk:Reward Ratio
These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style.
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NON-REPAINTING CONFIRMATION
All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means:
- Signals appear at the OPEN of the new bar (after the previous bar closes)
- Signals will NEVER disappear once they appear
- Signals will NEVER change position on historical bars
- What you see in backtesting is what you would have seen in real-time
The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting.
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IMPORTANT DISCLAIMERS
TERMINOLOGY CLARIFICATION:
This indicator uses terms that might imply access to data it does not have. To be completely transparent:
- "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels.
- "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data.
- "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success.
- The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal.
TRADING RISK WARNING:
Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable.
Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions.
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ORIGINALITY STATEMENT - NOT A MASHUP
Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis:
- The Fuel Gauge decay model with its four-component weighted calculation
- The Trap Zone cluster detection with confluence scoring
- The multi-factor quality scoring system that integrates all layers
- The trap-aware entry and target zone placement logic
- The volatility regime adaptation across all components
- The session weighting is integrated into the quality assessment
The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM.
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For best results, combine SPM with your own market understanding and always practice proper risk management.
-BullByte
P/D Price LevelsCore Objective: This indicator is meticulously designed to help traders pinpoint Value Zones with precision. The primary goal is to identify optimal Discount levels for long positions and potential Premium levels for short positions.
Based on Smart Money Concepts (SMC), trading at overbought or oversold extremes relative to a specific reference point (Swing High/Low) significantly enhances your Risk-to-Reward (R:R) ratio.
Key Features:
Dynamic Source Selection: Automatically detects the highest peak or lowest trough within a user-defined lookback period, or allows for manual price input for higher timeframe analysis.
10 Fully Customizable Levels: Flexibility to set up to 10 unique percentage (%) offsets. This is crucial as different assets (Gold, Forex, Stocks, or Crypto) exhibit varying volatility profiles and "Golden" discount levels.
Minimalist Interface: All lines and labels are rendered in a subtle light gray and anchored to the right margin. This ensures a clean workspace that doesn't clutter your price action analysis.
Precision Engineering: Optimized for Pine Script v6 to ensure lines remain perfectly horizontal, eliminating common display glitches.
How to Use:
Auto Mode: The script identifies the highest/lowest price within your chosen "Lookback" period as the base.
Manual Mode: If you have identified a significant HTF (Higher Timeframe) Swing High/Low, simply input the price manually in the settings.
The Strategy: Monitor price reaction at key percentages (e.g., 5%, 7%, or 10% discount from a high) to find high-probability reversal or trend continuation signals.
"Trading involves risk. This script is for educational purposes and should not be considered financial advice."
RSI Chebyshev Pro with Goldilocks Fractals [NPR21]RSI Chebyshev Pro with Goldilocks Fractals
- Advanced RSI oscillator combining Chebyshev Type I filtering, MESA adaptive algorithms, candlestick pattern recognition, and Williams Fractal pivot detection for comprehensive momentum analysis.
Core Features:
RSI Calculation
- Chebyshev Type I filtering for superior noise reduction
MESA Adaptive Moving Average for automatic cycle detection
Four display modes: Candles, Candles with Patterns, Heikin Ashi, Line
Adjustable RSI (1-10) and MA (1-10) line widths
Gradient-colored adaptive MA
Pattern Recognition
- Bullish/Bearish Engulfing: Green/red triangles with "Eng" labels
- Morning Star: Green label with diamond and up arrow (bullish reversal)
- Evening Star: Red label with diamond and down arrow (bearish reversal)
- Patterns require RSI confirmation (>60 bearish, <40 bullish)
- Vertical dashed lines mark all pattern occurrences
Goldilocks Fractals
- Williams Fractal methodology applied to RSI values
- BUY signals at swing lows, SELL signals at swing highs
- Bright green/red arrows maintain size at all zoom levels
- Customizable periods (default: 5), offsets, colors, and sizes
- Independent toggles for labels and shapes
Visual Design
- Hollow green bullish candles, solid red bearish candles
- Reference lines at 30, 50, 70 levels
- Professional gradient coloring (orange→yellow→green)
- Optimized for both light and dark themes
How to Use
- Settings
- Length (24): RSI calculation period
- Smoothing (3): Chebyshev smoothing factor
- Fractal Periods (5): Pivot lookback - lower = faster, higher = reliable
- MA Multiplier (1): Cycle detection sensitivity
- Line Widths: Adjust RSI and MA thickness (1-10)
Trading Applications
- Scalping (1m-5m): Fractal n=2-3, quick reversals
- Day Trading (15m-1H): Fractal n=4-5, pattern confluence
- Swing Trading (4H-Daily): Fractal n=6-8, major pivots
- Best signals: Multiple confirmations (fractal + pattern + RSI extreme)
Signal Priority
- Fractal SELL + Evening Star + RSI >70 = Strong bearish
- Fractal BUY + Morning Star + RSI <30 = Strong bullish
- Engulfing + Fractal + MA direction = High probability
- Always confirm with price action on main chart
Technical Details:
Uses Chebyshev filters for minimal phase distortion and sharp noise cutoff. MESA algorithm detects dominant market cycles (1-2048 bars) for adaptive MA calculation. Patterns require multi-bar body analysis, trend context, and RSI level confirmation. Fractals use ta.pivothigh/pivotlow on RSI values with n-period offset to prevent repainting.
Performance
No repainting - fractals appear n bars after formation. Optimized calculations for multiple indicator use. Works on all timeframes and asset classes. Compatible with desktop and mobile platforms.
Credits;
Original RSI concept by ChartPrime. Chebyshev filtering from signal processing theory. MESA algorithm by John Ehlers. Williams Fractals by Bill Williams. Conversion and integration by NPR21.
License: Mozilla Public License 2.0
Disclaimer: For educational purposes only. Use proper risk management. Past performance does not guarantee future results.
GEX Walls + Market Open Shading### Overview
This Pine Script (version 6) creates a TradingView indicator called **"GEX Walls + Market Open Shading"**. It overlays directly on the price chart and is designed for intraday trading, particularly for indices like SPX or ES futures. The script combines two main features:
- **GEX Walls**: Visual boxes and labels highlighting "Gamma Exposure" (GEX) levels—key support (Put Wall) and resistance (Call Wall) zones based on options gamma. It includes approach alerts.
- **Market Open Shading**: A semi-transparent background shade during a customizable post-market-open session (e.g., first 2 hours after 9:30 AM EST).
It uses up to 20 boxes and 20 labels, with right-scale positioning for better visibility on the price axis. The script detects new trading days to reset visuals dynamically.
### Key Inputs
The script is highly customizable via inputs grouped into sections:
#### GEX Walls Inputs
- **Call Wall** (default: 6900.0): Upper resistance level.
- **Put Wall** (default: 6850.0): Lower support level.
- **Buffer** (default: 3.0 points): Vertical padding around each wall for box thickness.
- **Alert Distance** (default: 10.0 points): Threshold for triggering "approach" alerts.
- **Colors**: Semi-transparent yellow for Call Wall boxes (#ffeb3b at 80% opacity), orange for Put Wall (#ff9800 at 80%).
- **Toggles**: Show/hide boxes; enable/disable alerts; restrict alerts to shaded session only.
- **Labels**: Text color (white), offset (bars to the right, default -2), size (tiny/small/normal/large).
#### Market Open Shading Inputs
- **Shade Color** (default: white at 90% transparency): Background fill during session.
- **Transparency** (0-100, default: 90): Opacity level.
- **Open Time** (default: 9:30 EST): Hour/minute for session start.
- **Duration**: Dropdown with pre-formatted options (e.g., "120 min: 11:30a EST / 8:30a PST" up to 195 min), showing both EST and PST end times for convenience.
- **Toggle**: Show/hide shading.
### How It Works
#### 1. Market Open Shading
- Calculates end time from open hour/minute + selected duration (e.g., 120 minutes from 9:30 AM EST = 11:30 AM EST).
- Builds a session string (e.g., "0930-1130") for TradingView's `time()` function.
- Detects if the current bar is within the session using `not na(time("", sessionString))`.
- Applies `bgcolor()` with the user-defined color/transparency only during the session.
- Helper functions format times in 12-hour AM/PM style (e.g., "11:30a") for labels, with EST/PST variants.
#### 2. Day Detection
- Uses `time("D")` to track daily changes (`ta.change(dayTime) != 0` signals a new day).
- Maintains variables for the current day's start bar index (`todayStartIndex`) and previous day's start (`prevStartIndex`).
- This ensures boxes span exactly from yesterday's open to today (intraday reset on new days).
#### 3. GEX Walls Visualization
- **Boxes**: Drawn once `prevStartIndex` is known (i.e., on the second day onward).
- Left edge: Previous day's start bar.
- Right edge: Current bar (extends live).
- Height: Wall level ± buffer (e.g., Call Wall box from 6900-3 to 6900+3).
- Updated dynamically with `box.set_*` functions; hidden (100% transparent) if toggled off.
- **Labels**: Placed at exact wall levels, offset to the right (e.g., 2 bars ahead for readability).
- Text: "CALL WALL: 6900.0" or "PUT WALL: 6850.0".
- Style: Right-aligned, black background (transparent), user-defined text color/size.
- Deleted if toggled off.
- All visuals use `xloc.bar_index` for bar-based positioning.
#### 4. Alerts
- **Call Wall Approach**: Triggers when close enters within `alertDistance` below the wall, but prior bar was further away (rising toward resistance). Message: "Price approaching Call Wall at from below (within points)".
- **Put Wall Approach**: Symmetric for falling toward support (within distance above wall).
- Filtered optionally to shaded session only.
- Uses `alertcondition()` with hidden plots (`display=display.none`) for dynamic message placeholders (e.g., `{{plot_0}}` inserts wall level).
### Notable Features & Behaviors
- **Intraday Focus**: Boxes/labels reset daily, making it ideal for day trading without historical clutter.
- **Time Zone Handling**: Defaults to EST for market open but shows PST equivalents in dropdowns (subtracts 3 hours).
- **Efficiency**: Uses `var` declarations for persistent objects (boxes/labels) to avoid recreation on every bar.
- **Edge Cases**: Handles label offsets (clamped -10 to 50 bars); session wrapping (e.g., overnight via %24); new chart loads (initializes on first bar).
- **Customization Depth**: 20+ inputs allow fine-tuning without code edits. Alerts integrate seamlessly with TradingView's system.
- **Limitations**: Relies on bar_index for historical spanning (best on lower timeframes like 1-5 min); no historical backfill for walls (live-only).
This script is a practical tool for options-aware traders monitoring gamma squeezes or pinning levels during market open volatility. To use it, paste into TradingView's Pine Editor, adjust inputs for your asset (e.g., update walls for current GEX data), and add to chart.
[QuantLabs] Kinetic Fusion Ultra The Problem with Standard Indicators Most trading indicators fail for one simple reason: They are Static. A standard Stochastic or CCI uses fixed variables that might work perfectly on EURUSD but fail completely on Bitcoin or Gold. This forces you to constantly tweak settings to avoid false signals, and usually, by the time you adjust them, the move is over.
Kinetic Fusion Ultra Kinetic Fusion Ultra solves this by combining Stochastic Position (Static) with Adaptive Momentum (Velocity). At its core is a proprietary Adaptive Normalization Engine. This algorithm "learns" the volatility of the asset over the last 100 bars and auto-scales the momentum data to fit perfectly into a 0-100 oscillator window.
Whether you are scalping a 1-minute Crypto chart or swinging a Weekly Stock chart, the signals remain mathematically consistent.
Aggressive ScalpingAggressive Scalping — EMA × RSI × VWAP × ADX Mesh-Up
Aggressive Scalping is a precision intraday indicator designed for range-to-early expansion environments, where most scalping strategies either over-trade or get chopped up.
This indicator intentionally meshes four complementary tools—EMA structure, RSI momentum, VWAP bias, and ADX regime detection—to isolate high-probability micro-moves while filtering out trend exhaustion and late entries.
The goal is simple:
trade only when price is aligned, momentum is controlled, and the market is quiet enough to move cleanly.
Why This Mesh-Up Exists
Most scalping indicators fail because they:
Trade every EMA cross
Ignore market regime
Chase overextended RSI
Enter against VWAP
This script solves that by assigning one clear job to each component:
1️⃣ EMA Structure (Fast vs Slow)
Defines short-term directional bias
Triggers precise entry timing
Provides clean crossover signals (▲ / ▼)
EMAs answer: Which side should I be on right now?
2️⃣ RSI Control (Not Overbought / Oversold)
Prevents chasing extended moves
Filters entries when momentum is already spent
Keeps scalps inside continuation windows
RSI answers: Is there still fuel left for a scalp?
3️⃣ VWAP Bias (Institutional Fair Value)
Aligns trades with institutional positioning
Blocks longs below VWAP and shorts above VWAP (optional)
Greatly reduces counter-trend noise
VWAP answers: Am I trading with or against the real money?
4️⃣ ADX Regime Filter (Range Detection)
Allows entries only when ADX is below a threshold
Avoids high-ADX trend exhaustion and fake pullbacks
Highlights scalp-friendly compression zones
ADX answers: Is the market calm enough to scalp?
How to Use the Signals
🔺 EMA Bullish Crossover (Green Triangle Up)
Fast EMA crosses above Slow EMA
Early directional shift
Can be used as:
Standalone momentum trigger
Confirmation for pullback entries
🔻 EMA Bearish Crossover (Red Triangle Down)
Fast EMA crosses below Slow EMA
Early downside signal
Ideal for quick downside scalps or fades
🟢 Long Entry Signal (Larger Green Triangle)
Triggers only when ALL conditions align:
EMA bullish structure
RSI not overbought
ADX below threshold (range mode)
Price above VWAP (if enabled)
🔴 Short Entry Signal (Larger Red Triangle)
Triggers only when:
EMA bearish structure
RSI not oversold
ADX below threshold
Price below VWAP (if enabled)
These are high-quality scalp entries, not constant signals.
Best Market Conditions
✔ Choppy to mildly trending sessions
✔ Open, mid-day, power hour rotations
✔ Large-cap & mega-cap stocks
✔ Index futures (ES, NQ)
✔ VWAP-respecting instruments
🚫 Not designed for:
Strong trend days
News-driven momentum explosions
Illiquid small caps
Final Notes
This indicator is not a prediction tool.
It is a structure-and-regime alignment tool.
Use it to:
Reduce over-trading
Improve entry precision
Trade fewer, cleaner setups
Stay aligned with market context
Pair it with:
Strict risk management
Session awareness
Price action confirmation
Divergence Buy/SellUser Manual: Buy/Sell Divergence v1
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The Buy/Sell Divergence v1 indicator is a momentum-based analysis tool built upon the Vortex system. Its primary function is to identify discrepancies between price action and trend strength, signaling potential exhaustion points and market reversals (Divergences).
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1. Interface Components
- The indicator consists of three main visual elements in the bottom panel:
Dynamic Vortex (Lines):
Green Line (VI+): Represents the strength of the buyers.
Red Line (VI-): Represents the strength of the sellers.
Note: With "Dynamic View" enabled, only the dominant line is shown, removing visual noise and clutter.
Delta Histogram:
Represents the mathematical difference between the two forces. Bars above zero (Lime) indicate a bullish trend; bars below zero (Maroon) indicate a bearish trend.
Background Color:
Green: Confirmed bullish trend.
Red: Confirmed bearish trend.
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2. Signal Interpretation
A. BUY DIV (Bullish Divergence)
Occurs during a downtrend and signals a potential bounce or upward reversal.
Price Condition: The price hits a new lower low.
Indicator Condition: The red line (VI-) shows a lower peak of strength compared to its previous peak.
Visual Signal: A green line connects the peaks on the indicator with the label "BUY DIV".
Meaning: Sellers are pushing the price down, but with less conviction. Selling pressure is evaporating.
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B. SELL DIV (Bearish Divergence)
Occurs during an uptrend and signals a potential pullback or downward reversal.
Price Condition: The price hits a new higher high.
Indicator Condition: The green line (VI+) shows a lower peak of strength compared to its previous peak.
Visual Signal: A red line connects the peaks on the indicator with the label "SELL DIV".
Meaning: Buyers are driving the price to new highs, but buying momentum is fading. The trend is becoming "exhausted."
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3. Parameter Configuration
Parameter Description Suggestion
Length The Vortex calculation period (default: 14). Use 7-10 for Scalping; 14-
21 for Day Trading; 28+ for
Swing Trading.
Pivot Lookback Number of candles needed to confirm a peak Increase this (e.g., 8-10)
(default: 5). for rarer but more
reliable divergence signals.
Dynamic View Hides the weaker trend line. Keep this ON for a clean
and focused chart reading.
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4. Strategic Advice & Risk Management
1. Candle Confirmation: Do not enter the trade at the exact moment the label appears. Because divergences are based on "Pivots," the label appears with a delay equal to the Pivot Lookback. Wait for a break of the signal candle's high (for Buy Div) or low (for Sell Div).
2. Trend Filtering: Divergences are most powerful when they occur near historical support or resistance zones on the price chart.
3. Stop Loss Placement:
- For a BUY DIV signal, place the Stop Loss slightly below the recent price low.
- For a SELL DIV signal, place the Stop Loss slightly above the recent price high.
4. Confluence: If you receive a SELL DIV and simultaneously see the histogram shrinking toward the zero line, the probability of a successful trade increases significantly.
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Crypto 1H [Universal - Strict + R:R]Overview This indicator is a trend-following strategy designed specifically for the 1-hour timeframe (though it works universally). It focuses on high-probability "pullback" entries within an established trend.
What distinguishes this script from standard trend indicators is the integrated Risk:Reward (R:R) Pre-Filter. Before generating a signal, the script calculates the distance to the logical Stop Loss and the logical Take Profit (Resistance/Support). If the trade does not offer a minimum Risk-to-Reward ratio (default 1:2), the signal is suppressed.
How It Works
The strategy follows a strictly defined logical flow:
1. Trend Identification The script uses a Baseline EMA (Default: 50) to determine the trend.
Long: Price is above the 50 EMA, and the 50 EMA is sloping up.
Short: Price is below the 50 EMA, and the 50 EMA is sloping down.
2. The Pullback & Trigger Once a trend is identified, the script waits for price to pull back to the "Trigger" EMA (Default: 21).
The Wait Window: The script utilizes a "Max Wait Bars" logic. Once the price touches the Trigger EMA, it listens for an entry signal for exactly 3 bars. If price lingers too long without reacting, the setup is invalidated to avoid chopping markets.
3. The Risk:Reward Filter (Crucial) This is the final gatekeeper. Even if the trend and candle shape are perfect, the script performs a geometric check:
Stop Loss Calculation: Determined by the lowest low (for longs) or highest high (for shorts) of the last 5 bars, plus a small ATR buffer.
Target Calculation: Determined by the highest high or lowest low of the last 24 bars (local Support/Resistance).
The Math: If the distance to the Target is not at least 2.0x the distance to the Stop Loss, the trade is skipped. This prevents buying right into resistance or selling right into support.
Indicator Features & Settings
Session Filter: Defaults to London and NY sessions (UTC) to ensure volume is present.
Volatility Filter: Requires the signal candle to have a minimum body size (0.15% of price) to avoid "doji" or low-momentum entries.
Visuals:
White Line: 50 EMA (Trend)
Yellow Line: 21 EMA (Momentum Trigger)
Labels: Green (Long) and Red (Short) entry markers.
Red Crosses: These indicate exactly where the suggested Stop Loss was located at the moment of entry.
Risk Disclaimer This tool is designed for educational and analytical purposes. The "Strict R:R" filter does not guarantee profit; it simply filters out setups that mathematically do not fit the specified ratio based on historical price action. Always perform your own analysis.
