Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
In den Scripts nach "crypto" suchen
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.
My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart — Trend, Structure & ATR Risk
Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
My Swiftlike Algo Backtest ATR SL/TP HH/HL/LH/LL BOS/CHOCHSwift-Like Algo is a trend-following strategy that trades pullbacks using EMA trend direction, market structure (HH/HL/LH/LL), and ATR-based risk management.
It enters only in the direction of the trend, with automatic Stop-Loss, TP1, and TP2, and supports full strategy backtesting.
Best used on 15m–4H timeframes for crypto, forex, and indices.
⚠️ For educational and testing purposes only.
Spearman Correlation🔗 Spearman Correlation – Ranked Relationship Tracker
Overview:
This indicator calculates and plots the Spearman Rank Correlation Coefficient between the current chart’s asset and a custom comparison ticker (the example shown is BTC vs the OTHERS market cap for crypto). Unlike Pearson correlation, which measures linear relationships, Spearman correlation captures monotonic (ranked) relationships—making it better suited for analysing assets that move in sync but not necessarily in a linear fashion.
🧠 What It Does:
Computes ranked correlation between two assets over a user-defined lookback period
Smooths the correlation curve for better readability
Visually shades the background by correlation strength and direction:
🟩 Strong Positive (+0.5 to +1)
🟨 Weak Positive (+0.1 to +0.5)
⬜ No Correlation (–0.1 to +0.1)
🟧 Weak Negative (–0.5 to –0.1)
🟥 Strong Negative (–1 to –0.5)
⚙️ User Inputs:
Lookback Period: Number of bars used to calculate correlation
Comparison Ticker: Choose any asset to compare against
Shading Toggles: Customize which correlation zones are highlighted
📈 Use Cases:
Identify evolving relationships between assets (e.g., BTC vs DXY, ETH vs SPX)
Spot when assets become inversely correlated or lose correlation entirely
Track regime shifts where traditional relationships break down or re-align
Use alongside trend or momentum strategies to add a cross-asset confirmation layer
🔍 Interpreting the Correlation:
+1 → Perfect positive (ranks match exactly)
+0.5 to +1 → Strong positive relationship
+0.1 to +0.5 → Weak but positive relationship
–0.1 to +0.1 → Essentially uncorrelated
–0.5 to –0.1 → Weak negative correlation
–1 to –0.5 → Strong inverse relationship
–1 → Perfect negative (rankings are completely opposite)
🧪 Technical Notes:
Calculation uses ranked returns to better reflect monotonic relationships
Smoothed with a simple moving average (SMA) for stability
Arrays are managed internally to maintain performance and adaptability
This script is ideal for traders seeking deeper insight into cross-asset dynamics, portfolio hedging, or timing divergence-based strategies.
Swift-like Algo (V1) Trend Pullback ATR Risk AlimojanidThis indicator is a simple, rule-based trend-following system designed to help identify potential LONG and SHORT opportunities using market structure, momentum, and volatility.
It is inspired by professional “algo-style” tools, but built from scratch for learning, transparency, and flexibility.
🔹 How it works
1️⃣ Trend Detection
Uses Fast EMA vs Slow EMA
Only looks for:
LONGs in bullish trends
SHORTs in bearish trends
2️⃣ Entry Logic
Waits for a pullback toward the fast EMA
Confirms direction using price behavior
Optional RSI filter to avoid weak momentum trades
3️⃣ Risk Management
Stop Loss (SL) and Take Profit (TP) levels are calculated using ATR
Risk is defined in R-multiples (TP1, TP2)
Designed to adapt to market volatility
4️⃣ Visual & Alerts
Clear LONG / SHORT arrows
Automatic SL / TP level plotting
Built-in alert conditions for trade notifications
⚙️ Settings You Can Adjust
EMA lengths (trend sensitivity)
RSI confirmation (on/off)
ATR stop size
Risk-reward targets
Cooldown bars to avoid over-trading
⚠️ Disclaimer
This indicator is NOT a guaranteed trading system and should not be used as financial advice.
Always:
Backtest on your own market and timeframe
Use proper risk management
Paper trade before using real funds
The author is not responsible for any trading losses.
💡 Notes
Best used on trending markets
Works on Forex, Crypto, Indices, and Commodities
Timeframes: 15m and higher recommended
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
Institutional Confluence Mapper [JOAT]Institutional Confluence Mapper (ICM)
Introduction
The Institutional Confluence Mapper is an open-source multi-factor analysis tool that combines five analytical modules into a unified confluence scoring system. It synthesizes institutional trading concepts including Relative Rotation analysis, Smart Money flow detection, Liquidity zone mapping, Session-based timing, and Volatility regime classification.
Rather than relying on a single indicator, ICM evaluates market conditions through multiple lenses simultaneously, presenting a clear confluence score (0-100%) that reflects the alignment of various market factors.
This script is fully open-source under the Mozilla Public License 2.0.
Originality and Purpose
This indicator is NOT a random mashup of existing indicators. It is an original implementation that creates a unified institutional analysis framework:
Why Multiple Modules? Most retail traders struggle because they rely on single indicators that provide conflicting signals. Institutional traders evaluate markets through multiple frameworks simultaneously. ICM bridges this gap by providing a unified view of complementary analysis methods.
The Confluence Scoring System: Each module contributes to a weighted confluence score (0-100%). Scores above 65% indicate bullish confluence; below 35% indicates bearish confluence.
How Components Work Together:
RRG (Relative Rotation) determines macro bias - is this asset outperforming or underperforming its benchmark?
Institutional Flow confirms smart money activity - are institutions accumulating or distributing?
Volatility Regime determines strategy selection - trend-follow or mean-revert?
Liquidity Detection identifies key levels - where are the stop hunts happening?
Session Analysis optimizes timing - when should you trade?
The Five Core Modules
1. Relative Rotation Momentum Matrix (RRG)
Compares the current symbol against a benchmark (default: SPY) using the JdK RS-Ratio methodology with double-smoothed EMA. Assets rotate through four quadrants:
LEADING: Outperforming with positive momentum (strongest bullish)
WEAKENING: Outperforming but losing momentum
LAGGING: Underperforming with negative momentum (strongest bearish)
IMPROVING: Underperforming but gaining momentum
2. Institutional Flow Analysis
Analyzes volume patterns to detect smart money activity:
Volume Z-Score measures how unusual current volume is
Buy/Sell pressure estimation based on candle structure
Unusual volume detection highlights institutional activity
3. Volatility Regime System
Uses ATR percentile ranking to classify market conditions:
COMPRESSION: Low volatility (ATR < 20th percentile) - potential breakout
EXPANSION: High volatility (ATR > 80th percentile) - trending
TRENDING_BULL/BEAR: Directional trends based on EMA alignment
RANGING: Sideways consolidation
4. Liquidity Detection
Identifies institutional liquidity targets using swing point analysis:
Swing highs/lows are tracked and displayed as dashed lines
Purple dashed lines mark resistance/sell-side liquidity
Teal dashed lines mark support/buy-side liquidity
Gold diamonds appear when liquidity sweeps are detected (potential reversals)
5. Session Momentum Profiler
Tracks trading sessions based on your selected timezone:
Asian Session: 7PM - 4AM EST
London Session: 3AM - 12PM EST
New York Session: 9:30AM - 4PM EST
London/NY Overlap: 8AM - 12PM EST (peak liquidity)
Visual Elements
Main Dashboard (Top-Right):
BIAS: Overall direction with confluence percentage
RRG: Current quadrant and momentum
FLOW: Smart money bias and volume status
REGIME: Market condition and volatility percentile
SESSION: Active trading session and current time
LIQUIDITY: Active zones and grab signals
SIGNAL: Actionable recommendation
Chart Elements:
Gold Diamond: Liquidity grab (potential reversal point)
Teal Dashed Line: Support / Buy-side liquidity zone
Purple Dashed Line: Resistance / Sell-side liquidity zone
EMA 21/55/200: Trend structure with cloud fill
Volatility Bands: ATR-based channels
How to Use
Step 1: Check the BIAS row for overall market direction
Step 2: Check REGIME to understand market conditions
Step 3: Identify key levels using liquidity zones and EMAs
Step 4: Wait for confluence above 65% (bullish) or below 35% (bearish)
Step 5: Look for gold diamond signals at key levels
Best Setups
Bullish: Confluence >65%, RRG in LEADING/IMPROVING, bullish flow, price near teal support zone.
Bearish: Confluence <35%, RRG in LAGGING/WEAKENING, bearish flow, price near purple resistance zone.
Reversal: Gold diamond appears after price sweeps a liquidity zone.
Key Input Parameters
Benchmark Symbol: Compare against (default: SPY)
RS-Ratio/Momentum Lookback: RRG calculation periods
Volume Analysis Period: Flow detection lookback
Swing Length: Liquidity zone detection
ATR Period/Rank Period: Regime classification
Timezone: Session detection timezone
Alerts
Liquidity Grab Bull: Bullish sweep detected
Liquidity Grab Bear: Bearish sweep detected
High Confluence Bull: Confluence above 70%
High Confluence Bear: Confluence below 30%
Best Practices
Use on 1H, 4H, or Daily timeframes for reliable signals
Combine with price action for confirmation
Respect the regime - don't fight strong trends
Trade during London/NY overlap for best liquidity
Wait for high confluence scores before entering
Always use proper risk management
Limitations
Works best on liquid markets with sufficient volume
Session features optimized for forex/crypto markets
RRG requires a valid benchmark symbol
No indicator predicts the future - use proper risk management
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results.
-Made with passion by officialjackofalltrades
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Dynamic ATR-based Renko Overlay - Non repaintingDaily ATR-Based Renko Overlay
Overview
This Pine Script v5 indicator creates a dynamic Renko overlay on your time-based charts (optimized for 1-minute timeframes), using the previous period's ATR from a user-specified higher timeframe (default: 1-hour) to determine brick sizes. Unlike traditional Renko charts, this is an overlay that draws Renko bricks directly on top of your existing candles, allowing you to combine the noise-filtering power of Renko with the full features of time-based charts.
It's designed for traders who want Renko's trend-clarity benefits without switching chart types, especially useful for intraday trading in volatile markets like forex, stocks, or crypto.
Key Features
- Adaptive Brick Sizing: Brick size is calculated as a percentage (default 40%) of the previous period's ATR (Average True Range, default length 14) from the selected higher timeframe (default: 1-hour). This makes bricks volatility-adjusted—larger in high-vol periods to reduce noise, smaller in low-vol for more detail.
- Periodic Recalculation: Resets brick size at the start of each new period based on the user-specified reset timeframe (default: daily), using the prior period's ATR from the chosen timeframe. This ensures relevance without unwanted disruptions.
- Traditional Renko Logic: Uses 1-box reversal (a full brick against the trend to reverse). Bricks form based on closing prices, ignoring time and minor fluctuations.
- Visual Style: Stepped lines with green (up) and red (down) fills for a box-like appearance. Semi-transparent for easy overlay on candles.
- Customizable Inputs:
- ATR Length: Adjust the ATR period (default: 14).
- Percentage of ATR: Fine-tune brick sensitivity (default: 0.4 or 40%; range 0-1).
- ATR Timeframe: Specify the timeframe for ATR calculation (default: "60" for 1-hour; enter as a string like "240" for 4-hour, "D" for daily, etc.).
- Reset Timeframe: Specify the period for recalculating the brick size (default: "D" for daily; enter as a string like "W" for weekly, "M" for monthly, etc.).
How It Works
1. Fetches ATR from the user-specified timeframe via `request.security` for higher-timeframe volatility data.
2. On new periods based on the reset timeframe (or first load), sets brick size to `percent * ATR_HTF`.
3. Tracks Renko "close" and "previous close" to calculate bricks:
- Upward moves add green bricks in multiples of the size.
- Downward moves add red bricks.
- Reversals require a full brick against the direction.
4. Plots and fills create the overlay, updating on each 1-min bar close.
Add it to a 1-minute chart for best results—bricks will adapt periodically while you retain full candle visibility.
Why This Indicator is Helpful
TradingView's native Renko charts are powerful but come with limitations that can frustrate serious traders:
- No Bar Replay: Native Renko doesn't support TradingView's bar replay feature, making it hard to simulate historical trading sessions.
- Inaccurate/Repainting Strategy Testing: Strategies on native Renko can repaint or lack precision due to the non-time-based nature, leading to unreliable backtests.
- Limited Data History: Fast Renko timeframes (e.g., small bricks) often load very little historical data, restricting long-term analysis.
This overlay solves these by building Renko on a time-based chart:
- Full Bar Replay Support: Replay sessions as usual on your 1-min chart—the Renko follows along.
- Accurate, Non-Repainting Testing: Test strategies on the underlying time chart without repainting issues, as Renko is derived from closes.
- Unlimited Data Depth: Access TradingView's full historical data for 1-min charts (up to years of bars), not limited by Renko's data constraints.
- Hybrid Analysis: Overlay Renko on candles to spot trends while using volume, indicators (e.g., RSI, MAs), or drawing tools that don't work well on native Renko.
It's a game-changer for trend-following, breakout strategies, or filtering noise in short-term trades. No more switching charts—get the best of both worlds!
Usage Tips
- Best on 1-min charts for intraday precision, but experiment with others.
- Tune the percentage lower (e.g., 0.3) for more bricks/sensitivity, higher (e.g., 0.5) for fewer/false-signal reduction.
- Adjust the ATR timeframe to match your strategy—e.g., "240" for longer-term volatility or "15" for shorter.
- Customize the reset timeframe for different recalculation frequencies—e.g., "W" for weekly resets to capture broader market shifts, or "240" for every 4 hours.
- Combine with alerts: right now I am experimenting with 90 period EMA and the Renko brick pullbacks to find some EDGE
If you find this useful, give it a thumbs up or share your tweaks in the comments. Feedback welcome—happy trading! 🚀
RSI Trend Authority [JOAT]RSI Trend Authority - VAR-RSI with OTT Trend Detection System
Introduction
RSI Trend Authority is an open-source overlay indicator that combines Variable Index Dynamic Average (VAR) smoothed RSI with the Optimized Trend Tracker (OTT) to create a complete trend detection and signal generation system. Unlike traditional RSI which oscillates in a separate pane, this indicator scales the RSI to price and overlays it directly on your chart, making trend analysis more intuitive.
The indicator generates clear BUY and SELL signals when the smoothed RSI crosses the OTT trailing stop line, providing actionable entry points with trend confirmation.
Originality and Purpose
This indicator is NOT a simple mashup of RSI and moving averages. It is an original implementation that transforms RSI into a trend-following overlay system:
Why VAR Smoothing? Traditional RSI is noisy and produces many false signals. The Variable Index Dynamic Average (VAR) is an adaptive smoothing algorithm based on the Chande Momentum Oscillator principle. It adjusts its smoothing factor based on market conditions - responding quickly during trends and smoothing out during choppy markets. This creates an RSI that filters noise while preserving genuine momentum shifts.
Why OTT Trailing Stop? The Optimized Trend Tracker (OTT) is a percentage-based trailing stop mechanism that only moves in the direction of the trend. When VAR-RSI crosses above OTT, a bullish trend is confirmed; when it crosses below, a bearish trend is confirmed. This provides clear, actionable signals rather than subjective interpretation.
Price Scaling Innovation: By scaling RSI (0-100) to price using the formula (RSI * close / 50), the indicator overlays directly on the price chart. This allows traders to see how momentum relates to actual price levels, making trend analysis more intuitive than a separate oscillator pane.
ATR Boundaries: Optional volatility-based boundaries show when price is extended relative to its normal range, helping identify potential reversal zones.
How the components work together:
VAR smoothing removes RSI noise while preserving trend information
OTT provides a dynamic trailing stop that generates clear crossover signals
Price scaling allows direct overlay on the chart for intuitive analysis
ATR boundaries add volatility context for profit target estimation
Core Components
1. VAR-RSI (Variable Index Dynamic Average RSI)
The foundation of this indicator is the VAR smoothing algorithm applied to RSI. VAR is an adaptive moving average that adjusts its smoothing factor based on the Chande Momentum Oscillator principle:
f_var_calc(float data, int length) =>
int a = 9
float b = data > nz(data ) ? data - nz(data ) : 0.0
float c = data < nz(data ) ? nz(data ) - data : 0.0
float d = math.sum(b, a)
float e = math.sum(c, a)
float f = nz((d - e) / (d + e))
float g = math.abs(f)
float h = 2.0 / (length + 1)
float x = ta.sma(data, length)
This creates an RSI that:
Responds quickly during trending conditions
Smooths out during choppy, sideways markets
Reduces false signals compared to raw RSI
2. OTT (Optimized Trend Tracker)
The OTT acts as a dynamic trailing stop that follows the VAR-RSI:
In uptrends, OTT trails below the VAR-RSI line
In downtrends, OTT trails above the VAR-RSI line
The OTT Percent parameter controls how closely it follows
When VAR-RSI crosses above OTT, a bullish trend is confirmed. When VAR-RSI crosses below OTT, a bearish trend is confirmed.
3. Price Scaling
The RSI (0-100 scale) is converted to price scale using:
float scaleFactor = close / 50.0
float varRSIScaled = varRSI * scaleFactor
This allows the indicator to overlay directly on price, showing how momentum relates to actual price levels.
Visual Components
VAR-RSI Line (Cyan/Magenta)
The main indicator line with gradient coloring:
Cyan gradient when RSI is above 50 (bullish)
Magenta gradient when RSI is below 50 (bearish)
Line thickness of 3 for clear visibility
OTT Line (Yellow Circles)
The trailing stop line displayed as circles:
Acts as dynamic support in uptrends
Acts as dynamic resistance in downtrends
Crossovers generate trading signals
Trend Fill
The area between VAR-RSI and OTT is filled:
Cyan fill during bullish trends
Magenta fill during bearish trends
Fill transparency allows price visibility
Buy position and LONG on Dashboard with a Uptrend:
ATR Boundaries (Optional)
Dotted lines showing volatility-based price boundaries:
Upper band: Close + (ATR x Multiplier)
Lower band: Close - (ATR x Multiplier)
Color matches current trend direction
Buy/Sell Signals
Clear labels appear at signal points:
BUY label below bar when VAR-RSI crosses above OTT
SELL label above bar when VAR-RSI crosses below OTT
Additional glow circles highlight signal bars
Bar Coloring
Optional feature that colors price bars:
Cyan bars during bullish trend
Magenta bars during bearish trend
Dashboard Panel
The 8-row dashboard provides comprehensive status information:
Signal: Current position - LONG or SHORT (large text)
VAR-RSI: Current smoothed RSI value (large text)
RSI State: OVERBOUGHT, OVERSOLD, BULLISH, or BEARISH
OTT Trend: UPTREND or DOWNTREND based on OTT direction
Bars Since: Number of bars since last signal
Price: Current close price (large text)
OTT Level: Current OTT trailing stop value
Input Parameters
RSI Settings:
RSI Length: Period for RSI calculation (default: 100)
Source: Price source (default: close)
VAR Settings:
VAR Length: Adaptive smoothing period (default: 50)
OTT Settings:
OTT Period: Trailing stop calculation period (default: 30)
OTT Percent: Distance percentage for trailing stop (default: 0.2)
ATR Trend Boundaries:
Show ATR Boundaries: Toggle visibility (default: enabled)
ATR Length: Period for ATR calculation (default: 14)
ATR Multiplier: Distance multiplier (default: 2.0)
Display Options:
Show Buy/Sell Signals: Toggle signal labels (default: enabled)
Show Status Table: Toggle dashboard (default: enabled)
Table Position: Choose corner placement
Color Bars by Trend: Toggle bar coloring (default: enabled)
Color Scheme:
Bullish Color: Main bullish color (default: cyan)
Bearish Color: Main bearish color (default: magenta)
OTT Line: Trailing stop color (default: yellow)
VAR-RSI Line: Main line color (default: teal)
ATR colors for boundaries
How to Use RSI Trend Authority
Signal-Based Trading:
Enter LONG when BUY signal appears (VAR-RSI crosses above OTT)
Enter SHORT when SELL signal appears (VAR-RSI crosses below OTT)
Use the OTT line as a trailing stop reference
Trend Confirmation:
Cyan fill indicates bullish trend - favor long positions
Magenta fill indicates bearish trend - favor short positions
Check RSI State in dashboard for momentum context
Using the Dashboard:
Monitor "Bars Since" to assess signal freshness
Check RSI State for overbought/oversold warnings
Use OTT Level as a reference for stop placement
ATR Boundaries:
Price near upper ATR band in uptrend suggests extension
Price near lower ATR band in downtrend suggests extension
Boundaries help identify potential reversal zones
Parameter Optimization
For Faster Signals:
Decrease RSI Length (try 50-80)
Decrease VAR Length (try 30-40)
Decrease OTT Period (try 15-25)
For Smoother Signals:
Increase RSI Length (try 120-150)
Increase VAR Length (try 60-80)
Increase OTT Period (try 40-50)
For Tighter Stops:
Decrease OTT Percent (try 0.1-0.15)
For Wider Stops:
Increase OTT Percent (try 0.3-0.5)
Alert Conditions
Three alert conditions are available:
Buy Signal: VAR-RSI crosses above OTT
Sell Signal: VAR-RSI crosses below OTT
Trend Change: OTT direction changes
Understanding the OTT Calculation
The OTT uses a percentage-based trailing mechanism:
float farkOTT = mavgOTT * ottPercent * 0.01
float longStopCalc = mavgOTT - farkOTT
float shortStopCalc = mavgOTT + farkOTT
longStop := mavgOTT > nz(longStop ) ? math.max(longStopCalc, nz(longStop )) : longStopCalc
shortStop := mavgOTT < nz(shortStop ) ? math.min(shortStopCalc, nz(shortStop )) : shortStopCalc
This ensures the trailing stop only moves in the direction of the trend, never against it.
Best Practices
Use on 1H timeframe or higher for more reliable signals
Wait for signal confirmation before entering trades
Consider RSI State when evaluating signal quality
Use ATR boundaries for profit target estimation
The longer RSI length (100) provides smoother trend detection
Combine with support/resistance analysis for better entries
Limitations
Signals may lag during rapid price movements due to smoothing
Works best in trending markets; may whipsaw in ranges
The overlay nature means RSI values are scaled, not absolute
Default parameters are optimized for crypto and forex; adjust for other markets
Technical Notes
This indicator is written in Pine Script v6 and uses:
VAR (Variable Index Dynamic Average) for adaptive smoothing
OTT (Optimized Trend Tracker) for trailing stop calculation
ATR for volatility-based boundaries
Gradient coloring for intuitive trend visualization
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
Market Structure [odnac]Overview
This indicator is a comprehensive tool designed for traders utilizing Smart Money Concepts (SMC) and Price Action. It automatically identifies and labels significant market structure shifts, specifically BOS (Break of Structure) and CHoCH (Change of Character), helping you stay on the right side of the trend.
Key Features
Dual Logic Modes (V1 & V2):
V1 (Fixed Pivot): Only utilizes confirmed pivot points. Ideal for conservative traders looking for major swing levels.
V2 (Dynamic Update): Automatically updates swing points to the actual highest high or lowest low between breaks. This provides a more fluid and accurate representation of price flow.
Smart Confirmation: Unlike basic pivot scripts, this indicator uses a multi-bar confirmation logic (checking candle polarity and close sequences) to filter out market noise and false pivots.
Automatic Trend Detection: The indicator tracks the current market bias (Bullish/Bearish) and visualizes it through customizable background colors or shapes.
Clear Visual Cues: * BOS: Indicates a continuation of the current trend.
CHoCH: Signals a potential trend reversal.
How to Use
Identify Trend Direction: Use the background coloring or the shapes at the bottom to quickly identify if the market is in a Bullish (Green) or Bearish (Red) phase.
Look for Structure Breaks: * When price breaks a previous high/low, the indicator will draw a line and label it as BOS if the trend continues, or CHoCH if the trend flips.
Customize for Your Assets: * For volatile assets like XLM or other cryptocurrencies, you can adjust the Swing Left/Right Bars inputs to filter for either micro-structures or macro-trends.
Input Settings
Version: Choose between V1 (Strict Pivots) and V2 (Dynamic Ranges).
Swing Left/Right Bars: Determines the sensitivity of high/low detection. Increase these values to find "stronger" structural points.
Trend Visualization: Toggle between Background fills, Shape markers at the bottom, or None for a cleaner look.
Show Swings: Toggle the visibility of the white circles marking confirmed pivot points.
Disclaimer
Market structure is a lagging indicator by nature as it requires confirmation. Always use this tool in conjunction with other technical analysis methods (Order Blocks, Fair Value Gaps, or Volume) for the best results.
Sessions with Opening/Closing, Multi timeframeSessions with Opening & Closing is a simple and lightweight TradingView indicator that automatically marks the opening and closing moments of the major trading sessions directly on your chart.
It visually highlights:
Asian Session
European Session
U.S. Session
Each session opening and closing is shown with:
A vertical line on the exact candle where the session starts or ends
A label showing the session name and whether it is an Open or Close
This helps traders easily identify session transitions, which are often associated with changes in liquidity, volatility, and market behavior.
How It Works
The script checks whether the current candle falls inside a predefined session time range based on a selected time zone.
When the session state changes:
From inactive → active → it draws an Open marker
From active → inactive → it draws a Close marker
This is done for each session independently (Asia, Europe, USA), so you can clearly see when one session starts or ends relative to the others.
The indicator does not repaint and uses only confirmed candle information.
Sessions Used (default)
These are the default session times (you can change them in the code):
Asia: 19:00 – 01:00
Europe: 02:00 – 10:00
USA: 09:30 – 16:00
All times are interpreted according to the selected time zone.
How to Change the Time Zone
At the top of the script you will find this line:
tz = "America/La_Paz"
To change the time zone, simply replace "America/La_Paz" with your desired zone.
Examples:
tz = "America/New_York" // New York
tz = "Europe/London" // London
tz = "Asia/Tokyo" // Tokyo
tz = "Australia/Sydney" // Sydney
tz = "UTC" // Coordinated Universal Time
TradingView uses standard IANA time zone names.
You can find the full list here: en.wikipedia.org
Who Is This Indicator For?
This indicator is useful for:
Session-based traders
Liquidity traders
Forex, indices, and crypto traders
Anyone who wants to understand when major market sessions begin and end
Final Notes
Works on all timeframes.
Does not repaint.
Can be used on Forex, Crypto, Indices, and Futures.
Fully customizable (sessions, colors, labels, and time zone).
If you like this indicator or find it useful, feel free to like it or leave feedback — and happy trading! 🚀📈
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
---
Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
---
2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
---
Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Vol Compression PRO
## Volatility Compression PRO (Fully Fixed)
This indicator is an **options-theory-inspired “volatility compression → expansion” detector**, enhanced for **crypto trading on 4H/1D**. It is designed as a **two-stage system**:
1. **Environment / Setup (1D)**: Detects a volatility-compressed regime where a breakout is more likely.
2. **Trigger (current chart TF, recommended 4H)**: Confirms the breakout using price structure + volatility expansion + (optional) volume.
A major feature of this script is that it **avoids TradingView’s 5000-bar historical limitation** by recommending a **Daily HV (1D) computation mode**, which is stable and not constrained by intraday bar counts.
---
## Core Concept
### Stage A — “Setup” (Daily Environment Filter)
On the **daily timeframe**, the script estimates realized volatility (HV) and produces an **Environment Score (0–100)** that reflects how “compressed” volatility is versus its own history.
A **Setup window** becomes active when:
* `Environment Score >= Setup Threshold`
* Optional “persistence” can keep Setup active for N days after triggering (to avoid edge flicker).
It also calculates a **daily directional bias** (Bull/Bear) using one of two methods:
* **Price vs Daily EMA** (default): bias is bullish if daily close > daily EMA, bearish if below.
* **MACD > 0**: bias is bullish if daily MACD line > 0, bearish if < 0.
This stage answers:
**“Are we in a volatility-compressed regime worth watching, and what is the higher-timeframe bias?”**
---
## HV / Compression Scoring Model
The script computes:
* **Short-term HV**: standard deviation of log returns over a short window
* **Long-term HV**: standard deviation of log returns over a long window
* **HV Percentile**: percentile rank of short HV over a historical lookback
* **Compression Ratio (S/L)**: short HV divided by long HV (`<1` implies compression, `>1` implies expansion)
* **Log-Z Deviation**: Z-score of log(HV) vs its historical distribution (more stable than raw HV Z-score)
Then it builds a **0–100 score** using weighted components:
* Low HV percentile (lower = more compressed)
* Compression ratio below 1 (more compression)
* Negative log-Z deviation (HV below typical)
This produces a single number: **“Explosion Potential (Environment Score)”**.
---
## Stage B — Trigger Logic (Current Chart Timeframe, recommended 4H)
A **Long Trigger** fires only when **all** of the following are true:
1. **Setup is active** (from daily environment score)
2. **Daily bias is bullish**
3. **Donchian breakout UP**
* Close breaks above the **previous bar’s** highest high of the last N bars
* Uses ` ` to avoid same-bar repaint-style lookback issues
4. **Volatility expansion confirmation**, via either:
* **Bollinger Band Width rising** (BBW turns up and exceeds its mean), and/or
* **ATR% rising** (ATR as % of price increases)
5. **Optional volume confirmation**:
* Volume > SMA(volume) × multiplier (if enabled)
A **Short Trigger** mirrors the long logic (requires bearish bias + downside Donchian break), and can be toggled on/off.
This stage answers:
**“Did price actually escape the compression box, and is volatility expanding with it?”**
---
## Two HV Calculation Modes (5000-bar limitation fix)
### 1) **Daily HV (Recommended)**
* Computes HV + Score + Setup on the **daily timeframe using `request.security(...,"D",...)`**
* This avoids intraday needing thousands of bars to represent many days
* Much more stable and reliable for regime detection
### 2) **Adaptive to Chart TF**
* Computes HV on the **current chart timeframe**
* Includes a strict conversion of “days → bars” and clamps lengths to **<= 4800 bars** to avoid the 5000-bar ceiling
* Still less robust on small timeframes, but won’t crash the script
---
## Visualization
* Plots the **Environment Score** as the main line (colored by score level)
* Draws reference lines at 70 / 50 / 30
* Highlights the background when **Setup** is active
* Optional trigger markers:
* **“L”** for long trigger (triangle up)
* **“S”** for short trigger (triangle down)
* A top-right info panel shows:
* HV short/long, HV percentile, compression ratio, log-Z deviation
* Environment score, Setup active status, daily bias
* Breakout status, expansion confirmation, volume confirmation
* Current mode (“1D fixed” vs “Adaptive”)
---
## Alerts
Built-in alert conditions:
* Setup active (compression window)
* Long Trigger
* Short Trigger
---
## Intended Use (Practical)
* Use **1D** to judge whether volatility is compressed and define bias
* Use **4H** to wait for a clean breakout plus expansion confirmation
* Avoid forcing entries during compression without a real breakout (“don’t catch falling knives” logic)
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof.
It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label.
Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions.
This script aims to simplify strategy creation and analysis , making it a powerful toolkit for technical traders.
Indicators Overview
RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
Seamless Alerts and Automation
• Configure alerts in TradingView using “Any alert() function call.”
• The script sends JSON alert messages you can route to your own webhook.
• The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges.
Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
Single-Entry Intrabar SL/TP
• One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
• Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
Add the Script to Your Chart
• In TradingView, open Indicators , search for “Multi-indicator Signal Builder” .
• Click to add it to your chart.
Configure Inputs
• Time Filter: Set a start and end date for trades.
• Alerts Messages: Input any JSON or text payload needed by your external service or bot.
• Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
• Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
Set Up Alerts
• In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
• Entry Alert: Triggers on the script’s entry signal.
• Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
• Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
Visual Reference
• A condition table at the bottom summarizes active signals.
• Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 680 (varies by strategy conditions)
Win rate: 75.44% (varies by strategy conditions)
Net Profit: +90.14% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes.
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
EMA Slope - RSI Indicator# EMA Slope - RSI Indicator
## Script Description (for Publishing Page)
**EMA Slope - RSI Indicator** combines normalized EMA slope momentum analysis with RSI divergence detection and momentum comparison to create a visual signal indicator with five distinct signal types. The indicator's originality lies in its unique "No Trade Zone" (NTZ) concept applied to slope momentum, combined with centered RSI format for direct comparison, and multiple complementary signal methods that work together to identify both trend-following and reversal opportunities across different market conditions.
**Core Concept - EMA Slope Normalization:** Calculates rate of change of long MA (default 160 EMA) by comparing current value to N bars ago (default 3 bars). Raw slope difference normalized to -100 to +100 scale using 500-bar rolling range: normalizedSlope = 100 * (longMA - longMA ) / (highest(maDF, 500) - lowest(maDF, 500)). Creates consistent momentum oscillator comparable across price levels and timeframes.
**No Trade Zone (NTZ) Logic:** NTZ (±8 default) creates neutral zone where slope momentum is too weak for reliable signals. Indicator only triggers NTZ Cross signals when slope crosses out of threshold zone, ensuring signals occur only when momentum is sufficiently strong.
**Centered RSI Format (RSI-50):** Traditional RSI (0-100 range) difficult to compare with slope. This indicator uses centered RSI = (RSI - 50), creating -50 to +50 range zero-centered on same scale as normalized slope. Enables direct visual and mathematical comparison between RSI and slope momentum, enabling Slope-RSI exhaustion detection and RSI-Slope Oscillator signals.
**Component Integration:** Five signal types target different market conditions. NTZ Cross and Acceleration target trend-following when momentum strong. RSI Divergence and Slope-RSI Divergence target reversals when price/momentum diverge. RSI-Slope Oscillator targets momentum alignment when RSI and slope converge. Multi-method approach provides signals across trending, reversing, and ranging markets.
### 📊 Technical Calculations
**Slope Normalization:** maDF = longMA - longMA , normalized: maDf = 100 * maDF / (highest(maDF, 500) - lowest(maDF, 500)), ranges -100 to +100.
**Acceleration Detection:** maAcce = abs(maDf - maDf ) * smoothBars * 2, normalized: maAcc = 50 * maAcce / highest(maAcce, 200). Values above threshold (35 display, 40 signals) indicate sudden momentum shifts. Visualized as colored circles: cyan (bullish), red (bearish).
**RSI Calculation:** rsi = sma(rsi(source, length), smoothing), centered: cRsi = rsi - 50 (ranges -50 to +50). Smoothed using SMA (default 3 bars) to reduce noise.
**RSI Divergence:** Uses pivot high/low detection on smoothed RSI. Pivot lookback = 16 - sensitivityInput (inverse: sensitivity 6 = 10-bar lookback, sensitivity 10 = 6-bar lookback). Compares price pivots (actual high/low including wicks) against RSI pivots. Bullish: priceLowerLow AND rsiHigherLow. Bearish: priceHigherHigh AND rsiLowerHigh. Stores multiple previous pivots (default 8 max) for comparison.
**Slope-RSI Exhaustion:** Compares normalized slope against centered RSI on same scale. Bearish: slope accelerating up (delta > 0, slope > NTZ) BUT RSI declining (cRsi < cRsi AND cRsi < cRsi ). Bullish: slope accelerating down (delta < 0, slope < -NTZ) BUT RSI rising. Gap threshold (default 10.0 points) filters noise. Visualized with dashed lines and gap labels.
**RSI-Slope Oscillator:** State machine tracks cross events (rsiSlopeCrossUp = cRsi > maDf AND cRsi <= maDf ), waits for confirmation: both RSI and slope heading same direction. Long: RSI crosses above slope AND both heading UP. Short: RSI crosses below slope AND both heading DOWN. Useful for range-bound markets.
**Stretch Filter:** maPercentDiff = (longMA - shortMA) / shortMA * 100. Blocks long signals if longMA > shortMA by threshold (overextended up). Blocks short signals if shortMA > longMA by threshold (overextended down). Default 0.45% prevents signals when MAs too far apart.
**Delta Calculation:** Measures change in normalized slope between bars. Timeframe mode: compares current confirmed slope with previous confirmed (more reliable, slight delay). Standard mode: compares current with previous bar (faster, may use unconfirmed). Minimum threshold (default 3.4) filters weak momentum changes.
**Trailing Stop (Blackflag FTS Swingarm):** Uses Wilder's MA of true range. Modified mode: trueRange = max(HiLo, HRef, LRef) with enhanced gap handling. Unmodified: standard true range. Trailing stop calculated based on ATR factor and price trend direction. Separate settings for divergence signals (wider stops, grace periods).
### 🚀 Signal Types and Conditions
**1. NTZ Cross Signals:** Long: Slope crosses above +NTZ (default +8) AND positive delta ≥ threshold (default 3.4) AND stretch filter allows AND optional trend confirmation (short MA > long MA). Short: Slope crosses below -NTZ AND negative delta ≥ threshold AND filters allow. Exit: Slope re-enters NTZ OR reverses direction for confirmation bars OR trailing stop.
**2. Acceleration Signals:** Long: Acceleration ≥ threshold (default 40) AND slope above NTZ AND positive delta sufficient AND filters allow. Short: Acceleration ≥ threshold AND slope below -NTZ AND negative delta sufficient AND filters allow. Visual: Colored circles (cyan bullish, red bearish). Works independently to catch sudden momentum bursts.
**3. RSI Divergence Signals:** Bullish: Price lower low while smoothed RSI higher low, detected via pivot comparison (default up to 8 pivots). Bearish: Price higher high while RSI lower high. Optional Slope-RSI confirmation. Visual: Purple lines (bearish), lime lines (bullish). Exit: Divergence-specific trailing stop (wider ATR, grace period).
**4. Slope-RSI Divergence Signals:** Bullish: Slope accelerating down (negative delta, slope < -NTZ) BUT RSI rising over lookback AND gap exceeds threshold (default 10.0 points). Bearish: Slope accelerating up (positive delta, slope > NTZ) BUT RSI declining AND gap exceeds threshold. Visual: Orange triangles (bullish exhaustion), yellow triangles (bearish exhaustion) with dashed lines. Exit: Divergence-specific trailing stop.
**5. RSI-Slope Oscillator Signals:** Long: RSI crosses above slope AND both heading upward. Short: RSI crosses below slope AND both heading downward. State machine tracks cross then confirms direction. Exit: Opposite oscillator condition (allows reversal) OR trailing stop after grace period.
### 📖 How to Use
**Adding to Chart:** TradingView → Indicators → Search "EMA Slope - RSI Indicator" → Add (displays in separate pane below price).
**Visual Elements:** Colored area = normalized EMA slope (Green = bullish above NTZ, Red = bearish below -NTZ, Gray = NTZ zone). Blue line = Centered RSI (-50 to +50). Colored circles = Acceleration (Cyan = bullish, Red = bearish). Green triangles (↑) = Long signals (bottom). Red triangles (↓) = Short signals (top). Orange X = Exit signals. Dashed lines = NTZ boundaries. Purple/Lime lines = RSI divergences. Orange/Yellow triangles = Slope-RSI exhaustion. Table (top-right) = Current Slope, RSI, Gap values.
**Parameter Configuration:** MA Settings: Short 40 (stretch filter), Long 160 (slope), Types: SMA/EMA/DEMA/TEMA/WMA/VWMA/SMWMA/SWMA/HMA. Ratios: 20/80 (fast), 40/160 (standard), 50/200 (slow). Core: NTZ Threshold 8 (5-6 more signals, 10-12 stronger), Min Delta 3.4 (5-10 stronger, 1-3 sensitive), Max Stretch 0.45% (0.3% conservative, 1.0% permissive, 0 disable), Use Timeframe Delta true (confirmed bar vs previous bar). RSI: Length 14, Smoothing 3, Source close. Divergence: Sensitivity 6 (higher = more sensitive, 6 = 10-bar lookback, 10 = 6-bar lookback), Max Peaks 8 (2-15 range), Show Divergences true. Slope-RSI: Lookback 4 (2-10, higher = conservative), Min Gap 10.0 pts (0-100, higher = strong only, 0 disable), Show Exhaustion true. Signal Enables: NTZ Cross true, Acceleration true, RSI Divergence false, Slope-RSI Divergence true, RSI-Slope Oscillator true, Require Slope-RSI Confirmation false. Exit: Confirmation Bars 4 (0-10, 0 immediate, 2-4 filters false), Show Trailing Stop true, Trail Type Modified/Unmodified, ATR Period 10, ATR Factor 4.0 (2-3 tight, 4 standard, 5-6 wide), Divergence Grace 3 bars, Divergence ATR 4.0 (recommend 5-8), Oscillator Grace 3 bars, Oscillator ATR 4.0.
**Alerts:** Right-click indicator pane → Add Alert → Choose condition (Long/Short Entry/Exit) → Configure notifications.
**Interpreting Signals:** Trending Markets: Focus NTZ Cross and Acceleration, higher NTZ (10-12) for stronger signals, use trend confirmation. Reversal Opportunities: Enable RSI Divergence and Slope-RSI Divergence, look for exhaustion markers and divergence lines, use wider stops. Range-Bound: Enable RSI-Slope Oscillator, signals when RSI and slope align, allows position reversal. Multi-Timeframe: Higher TF for trend, lower TF for timing, stronger when aligned. Market Adjustments: Crypto 20/80 MA, NTZ 6-7, Delta 4-5 | Forex 40/160 MA, NTZ 8, Delta 3.4 | Stocks 50/200 MA, NTZ 10-12, Delta 2-3.
### 📈 Use Cases
Day Trading (5m-15m, fast MAs 20/80), Swing Trading (1h-4h, standard 40/160), Position Trading (4h-Daily, slow 50/200), Trend Following (NTZ Cross/Acceleration in trends), Reversal Trading (RSI Divergence/Slope-RSI at reversals), Range Trading (RSI-Slope Oscillator in choppy markets), Momentum Analysis (Centered RSI and normalized slope comparison), Trend Exhaustion Detection (Slope-RSI exhaustion markers).
### ⚠️ Important Disclaimer
**THIS IS NOT FINANCIAL ADVICE**
This indicator is for educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. No guarantee of accuracy - signals may be false. Not professional financial advice - consult a qualified advisor. Use only as part of comprehensive analysis. Always use proper risk management. Combine with other analysis techniques before making trading decisions. Indicator signals don't guarantee profitable trades. You are solely responsible for trading decisions and risk management. By using this indicator, you acknowledge understanding the risks and that you use it at your own risk. Never invest more than you can afford to lose. Works on all markets: Crypto, Forex, Stocks, Commodities, Futures
## Short Description (for Script Header - 200-300 chars)
Visual signal indicator combining normalized EMA slope momentum (No Trade Zone concept) with centered RSI format for direct comparison. Five signal types: NTZ momentum crosses, acceleration bursts, price-RSI divergences, slope-RSI exhaustion reversals, and RSI-slope oscillator alignment. Includes stretch filter, exit confirmation bars, and trailing stop exits with separate settings per signal type.
## Tags (for Publishing)
EMA, Moving Average, Slope, Momentum, No Trade Zone, NTZ, Indicator, Technical Analysis, RSI, Relative Strength Index, Centered RSI, RSI-50, Divergence, Slope-RSI, Exhaustion, RSI-Slope Oscillator, Normalized Comparison, Stretch Filter, Trend Confirmation, Exit Confirmation, Trailing Stop, Alerts, Signals, Visual Signals, Entry Signals, Exit Signals, Crypto, Forex, Stocks, Futures, Swing Trading, Day Trading, Reversal Trading, Range Trading, Momentum Analysis
## Category
**Indicators** → **Momentum**
Ichimoku With GradingDescription:
This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals.
How It Works
The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously.
The Grading Criteria:
Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish).
Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish).
Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish.
Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles.
Close > Tenkan: Checks immediate short-term momentum.
Close > Current Senkou Span A: Checks if price is above the current cloud's Span A.
Close > Current Senkou Span B: Checks if price is above the current cloud's Span B.
Total Score & Signals:
Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence.
Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar.
Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase.
Dashboard Features
A table is displayed in the top-right corner to provide real-time data:
Score Breakdown: Shows the status of every individual metric (1 or -1).
Total Score: The sum of all metrics.
Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen.
Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation.
How to Use Ichimoku Lines
Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis:
Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing.
The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken.
Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone.
Screenshots
1. Bitcoin Daily View:
Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal.
2. Gold (XAUUSD) Example:
An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels.
3. Euro (EURUSD) Mixed State:
This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions.
Settings
Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto).
Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.
Chainbey Ai - HTF Trend Matrix (Clean)Chainbey Ai – HTF Trend Matrix is a professional, higher-timeframe trend detection indicator designed to give traders a clean, reliable market bias, regardless of the chart timeframe they are trading on.
This indicator automatically analyzes multiple higher timeframes (HTFs) and combines:
EMA trend direction
Trend strength (ADX)
Market structure (trend vs range)
Trend disagreement across HTFs
Reversal probability estimation
All results are displayed in a compact table at the bottom-right, making it perfect for scalpers, day traders, and swing traders who need fast, decision-ready information.
🧠 What This Indicator Solves
❌ No more guessing the higher-timeframe trend
❌ No more trading against the main market bias
❌ No more confusion between trend vs range
✅ Clear BULLISH / BEARISH / RANGE bias
✅ Strength score to avoid weak trends
✅ Reversal probability to manage risk
📊 How to Read the Table (User Manual)
🔹 FINAL Row
Example:
FINAL | BEARISH TREND | -46
Text (BEARISH / BULLISH / RANGE) → Overall market bias
Number (-46) → Trend Strength Score
Trend Score Guide:
Score Meaning
0 to ±20 No trend / Choppy
±20 to ±40 Weak trend
±40 to ±70 Healthy trend
±70+ Very strong / extended trend
📌 Negative = Bearish
📌 Positive = Bullish
🔹 REVERSAL – Possibility (%)
Example:
REVERSAL | Possibility | 45%
This shows the chance of trend exhaustion or reversal.
Reversal % Meaning
0–30% Strong trend continuation
30–50% Normal pullback risk
50%+ High reversal probability
70%+ Dangerous to chase trades
📌 Use this to avoid late entries.
🔹 HTF Rows (60 / 240 / D)
Each row shows:
DIR / STRUCT
Direction from EMA trend
Market structure (TREND / RANGE)
ADX
Trend strength
STRONG / MEDIUM / CHOP
📌 If multiple HTFs agree → higher confidence
📌 If HTFs conflict → reduce position size or wait
🛠 Recommended Trading Usage
✅ Best Practices
Trade in the direction of FINAL trend
Enter on pullbacks, not breakouts
Use lower timeframes only for entries
❌ Avoid
Trading against FINAL bias
Chasing trades when reversal % is high
Over-leveraging in CHOP conditions
🎯 Ideal For
Crypto traders (Spot & Futures)
Forex traders
Gold / Commodity traders
Scalping, Intraday & Swing trading
⚠️ Disclaimer
This indicator is a decision-support tool, not financial advice. Always combine it with proper risk management, confirmations, and your trading plan.
Chainbey AI - Pattern Memory Table (v2)Chainbey AI – Pattern Memory & Market Outcome Table
Chainbey AI Pattern Memory is an advanced market behavior reference indicator designed to help traders understand how the current price structure compares with historical market patterns.
Instead of repainting signals or forcing trades, this tool focuses on context awareness:
It analyzes the current price pattern range
Matches it against selected historical price structures
Displays how price reacted after similar patterns in the past
Shows an estimated directional outcome and momentum strength
All results are presented in a lightweight on-chart table, keeping the chart clean and readable.
🔍 What this indicator shows
📅 Matched historical date & time
📈 Expected direction (UP / DOWN / FLAT)
📊 Historical move percentage
⚡ Estimated momentum strength
🧠 Similarity score (lower = closer pattern match)
🎯 How traders use it
Confirm bias before entering a trade
Understand historical reactions at similar market structures
Avoid emotional decisions by referencing past behavior
Combine with support/resistance, volume, RSI, or trend tools
⚠️ This indicator does NOT generate buy/sell signals.
It is a decision-support & market insight tool, best used alongside your own strategy.
🧩 Best use cases
Crypto, Forex, Commodities, Indices
Intraday & swing trading
Market structure and pattern-based strategies
Bias confirmation before entries
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not guarantee future performance and should not be considered financial advice.
Chainbey Ai - Swing High/Low Range📈 Chainbey Ai – Swing High / Swing Low Range
Chainbey Ai – Swing High / Swing Low Range is a clean and powerful market-structure indicator designed to automatically identify key swing levels and visualize the active price range on any chart.
This tool helps traders clearly see where price is reacting, consolidating, or preparing for a breakout.
🔹 What This Indicator Does
✔ Automatically detects the latest confirmed Swing High
✔ Automatically detects the latest confirmed Swing Low
✔ Draws horizontal levels for both swings
✔ Labels levels clearly as “Swing High” and “Swing Low”
✔ Highlights the range between swings using a background fill
✔ Updates dynamically as new market structure forms
🔹 Why It’s Useful
Identify support & resistance without manual drawing
Visualize consolidation zones instantly
Spot breakout and fake-out areas faster
Ideal for range trading, breakout trading, and trend confirmation
Works perfectly with price action, volume, and order-flow concepts
🔹 Best Use Cases
Crypto (Spot & Futures)
Forex
Indices
Commodities (Gold, Silver, Oil)
Timeframes: Works on all timeframes (especially strong on 15M, 30M, 1H)
🔹 How to Trade With It
Buy bias when price holds above Swing Low inside the range
Sell bias when price rejects from Swing High
Breakout confirmation when price closes strongly outside the range
Combine with volume, momentum, or liquidity concepts for higher accuracy
🔹 Customization
Adjust Swing Length to control sensitivity
Enable/disable range background fill
Customize colors and transparency
Extend swing levels to the right for forward guidance
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always manage risk and confirm signals with your own strategy.
🔗 Built by Chainbey Ai
Smart Structure • Clean Levels • Clear Ranges 🚀
