Monday Swing Box# Monday Swing Box Indicator - Trading Applications
This "Monday Swing Box" indicator can be very useful in trading for several strategic reasons:
## 1. **"Monday Effect" Analysis**
* **Concept**: Mondays often have particular characteristics in the markets (opening gaps, weekend catch-up, different volumes)
* **Utility**: Allows visualization and quantification of these Monday-specific movements
* **Application**: Helps identify recurring patterns in your strategy
## 2. **Relative Volatility Measurement with ATR**
* **The ATR percentage tells you**:
* **< 50%**: Low volatility Monday (possible consolidation)
* **50-100%**: Normal volatility
* **> 100%**: Very volatile Monday (important event, potential breakout)
* **Advantage**: Contextualizes the movement relative to historical volatility
## 3. **Practical Trading Applications**
### **For Day Trading**:
* **Entry**: A Monday with >150% ATR may signal a strong movement to follow
* **Stop Loss**: Adjust stop sizes according to Monday's volatility
* **Targets**: Calibrate targets according to the movement's magnitude
### **For Swing Trading**:
* **Support/Resistance**: Monday's high/low often become key levels
* **Breakout**: Breaking above/below Monday's box may signal continuation
* **Retracement**: Return to Monday's box = support/resistance zone
### **For Risk Management**:
* **Sizing**: Adapt position sizes according to measured volatility
* **Timing**: Avoid trading abnormally volatile Mondays if you prefer stability
## 4. **Specific Possible Strategies**
### **"Monday Breakout"**:
* Wait for a break above/below Monday's box
* Enter in the direction of the breakout
* Stop at the other end of the box
### **"Monday Reversal"**:
* If Monday shows >200% ATR, look for a reversal
* The box becomes a resistance/support zone
### **"Monday Range"**:
* Trade bounces off the box limits
* Particularly effective if ATR % is normal (50-100%)
## 5. **Visualization Advantages**
* **Historical**: See past patterns across multiple Mondays
* **Comparison**: Compare current volatility to previous Mondays
* **Anticipation**: Prepare your strategy according to the type of Monday observed
## 6. **Limitations to Consider**
* Monday patterns can vary according to markets and periods
* Don't trade solely on this indicator, but use it as a complement
* Consider macroeconomic context and news
This indicator is therefore particularly useful for traders who want to exploit Monday's specificities and have an objective measure of this day's relative volatility compared to normal market conditions.
Поиск скриптов по запросу "swing trading"
Dynamic Fib 61.8Dynamic Fib 61.8 Indicator – Full Guide
1. Overview
This indicator plots a dynamic 61.8% Fibonacci retracement level, adjusted for market volatility and smoothed using an EMA for cleaner signals. Unlike traditional static Fib levels, this version auto-adjusts based on recent price swings, making it more responsive to changing market conditions.
Key Features:
✅ Auto-Adjusting 61.8% Fib Level – Adapts to the highest high/lowest low over a user-defined period.
✅ EMA Smoothing – Reduces noise for more reliable support/resistance.
✅ Breakout Alerts – Built-in alerts for when price crosses the Fib level.
✅ Inverse Chart Support – Works on both regular and inverse price scales.
2. How to Use This Indicator
Primary Use Case:
Trend Retracement Entry: The 61.8% level often acts as a reversal zone in trending markets.
Breakout Confirmation: A decisive close above/below the smoothed Fib level suggests trend continuation.
Support/Resistance Flip: Watch for price reactions at this level for intraday/swing trades.
Input Parameters:
Input Default Description
Lookback Period 52 Determines how far back the highest high/lowest low is calculated. Higher = slower reaction, lower = more sensitive.
EMA Smoothing 3 Controls how much the Fib level is smoothed (higher = smoother but laggier).
Invert Price Scale Off Flips the calculation for inverse charts (e.g., for crypto perpetuals).
3. Interpretation & Trading Rules
Bullish Scenario (Buy Dips):
Price retraces to the smoothed Fib 61.8 level in an uptrend.
Confirmation: Wait for bullish candlestick patterns (hammer, engulfing) or RSI > 50.
Entry: Long on a bounce, stop-loss below recent swing low.
Bearish Scenario (Sell Rallies):
Price retraces to the smoothed Fib 61.8 level in a downtrend.
Confirmation: Bearish rejection (shooting star, bearish engulfing) or RSI < 50.
Entry: Short on rejection, stop-loss above recent swing high.
Breakout Trading:
If price closes decisively above/below the smoothed Fib level, it may signal trend continuation.
Volume & Momentum Confirmation: Use with MACD/RSI for stronger signals.
4. Best Confluence Indicators
This indicator works best when combined with:
A. Momentum Oscillators
RSI (14):
Look for oversold (RSI < 30) near Fib support in uptrends.
Look for overbought (RSI > 70) near Fib resistance in downtrends.
MACD:
Bullish: MACD crossing above signal line near Fib support.
Bearish: MACD crossing below signal line near Fib resistance.
B. Volume Analysis
Volume Spike + Fib Bounce = Strong Reversal Signal
Low Volume at Fib Retest = Potential Fakeout
C. Moving Averages
50 EMA/200 EMA Alignment:
If price is above 200 EMA and retests Fib 61.8, it’s a high-probability long.
If price is below 200 EMA and rejects Fib 61.8, it’s a high-probability short.
D. Price Action Patterns
Engulfing, Pin Bars, Inside Bars at the Fib level add confirmation.
5. Example Strategy
Setup:
Trend Identification – Price is above 200 EMA (uptrend).
Retracement to Smoothed Fib 61.8 – Price pulls back to the dynamic level.
Confirmation – Bullish hammer forms + RSI > 50.
Entry – Buy with stop below recent swing low.
Target – Previous high or 1.618 Fib extension.
6. Limitations & Adjustments
Choppy Markets: The Fib level may give false signals (use ATR filter).
Optimal Period Adjustment:
For day trading, reduce Lookback Period (e.g., 20-30).
For swing trading, increase (e.g., 50-100).
EMA Smoothing: If too slow, increase smoothing to 5-10.
Final Thoughts
This indicator is best used as a dynamic support/resistance tool rather than a standalone system. Combining it with momentum filters, volume, and price action significantly improves accuracy.
Fundig Rate OI# 🚀 Bitcoin Funding Rate + Open Interest Indicator - PineScript v6
## 📋 Summary
I've developed a **Bitcoin-specific** indicator that combines **Funding Rate** with **normalized Open Interest** for advanced futures analysis. After months of testing exclusively on BTC, the results have been excellent for identifying reversal points and confirming trends.
---
## 🎯 Why Bitcoin Only?
**Technical reasons:**
- BTC has the highest volume and liquidity in futures
- More consistent and reliable data
- Less manipulation than altcoins
- More stable correlation between FR and OI
**Problem it solves:**
- Traditional indicators only show one metric
- Difficult to correlate FR with BTC market volume/interest
- Lack of normalization makes OI hard to interpret
- Need for a tool specific to the king of cryptos
**Solution:**
✅ **Dynamic Funding Rate** optimized for BTC
✅ **Normalized Open Interest** (3 different methods)
✅ **Binance BTCUSDTPERP data** exclusively
✅ **Alert system** calibrated for BTC volatility
✅ **Real-time info table**
---
## 🔧 Technical Features
### Main Configurations:
- **Fixed symbol:** BTCUSDTPERP (Binance)
- **Lower timeframe:** 1m, 5m, 15m for precise calculations
- **OI normalization methods:**
- Min-Max (0-1 range)
- RSI (momentum-based)
- Z-Score (statistical distribution)
- **Optimized lookback:** 100 bars (ideal for BTC)
- **Alert system:** Thresholds calibrated for BTC
### Data Sources:
🔸 **Premium Index:** BINANCE:BTCUSDT_PREMIUM
🔸 **Open Interest:** BINANCE:BTCUSDTPERP_OI
🔸 **Timeframes:** From 1m to Daily
🔸 **Precision:** 4 decimals for FR
---
## 📊 How to Interpret Bitcoin Signals
### Funding Rate (Histogram):
- **FR > 0.1%:** BTC longs paying high → Possible short
- **FR < -0.1%:** BTC shorts paying high → Possible long
- **FR extreme (>0.5%):** High probability of BTC reversal
- **FR neutral (±0.05%):** Balanced market
### Open Interest (Blue line):
- **OI > 0.8 + high FR:** Many BTC longs trapped → Bearish
- **OI < 0.2 + low FR:** Short capitulation → Bullish
- **OI divergence:** BTC trend weakening
### Bitcoin-Specific Combinations:
1. **FR > 0.3% + OI > 0.85:** Imminent bearish reversal
2. **FR < -0.2% + OI < 0.15:** Probable bullish reversal
3. **FR oscillating + OI growing:** Accumulation before move
---
## 💡 Real Bitcoin Use Cases
**Example 1 - Bullish Reversal (March 2024):**
```
Situation: BTC falling from 73k to 60k
FR: -0.18% (shorts paying high premium)
OI: 0.12 (very low, short capitulation)
Result: Bounce to 67k (+11%)
```
**Example 2 - Local Top (February 2024):**
```
Situation: BTC at ATH 73.8k
FR: +0.42% (desperate longs paying)
OI: 0.91 (extremely high)
Result: Correction to 60k (-18%)
```
**Example 3 - Bullish Continuation:**
```
Situation: BTC consolidating at 45k
FR: +0.05% (neutral)
OI: 0.65 (steadily growing)
Result: Breakout to 52k (+15%)
```
---
## 🚨 Bitcoin-Calibrated Alert System
The indicator includes Bitcoin-specific alerts:
1. **BTC FR Spike Up:** FR > 0.15% (adjusted to BTC volatility)
2. **BTC FR Spike Down:** FR < -0.15%
3. **BTC OI Extreme High:** Normalized OI > 0.88
4. **BTC OI Extreme Low:** Normalized OI < 0.12
**Recommended BTC configuration:**
- **Scalping:** 5m and 15m
- **Swing Trading:** 1h and 4h
- **Position Trading:** Daily
- Always combine with BTC support/resistance
---
## 📈 Bitcoin Backtesting Results
**Testing period:** 12 months (July 2023 - July 2024)
**Exclusive pair:** BTCUSDTPERP
**Timeframes:** 15m, 1h, 4h, 1D
**BTC-specific results:**
- **Reversal accuracy:** ~78% (better than altcoins)
- **False signals:** Reduced 45% vs FR alone
- **Best timeframe:** 1h for swing, 15m for scalping
- **Worst period:** Sideways market (Nov-Dec 2023)
- **Best period:** Strong trends (Oct 2023, Mar 2024)
**Key statistics:**
- **23 major reversal signals:** 18 successful
- **Average gain:** +8.3% per successful trade
- **Average loss:** -2.1% per failed trade
- **Risk/reward ratio:** 1:3.9
Harmonic Pattern Detector [The_lurker]
📊 Harmonic Pattern Detector
An advanced indicator designed to automatically detect and visualize harmonic patterns on price charts with high accuracy. It is based on Fibonacci ratios, ZigZag structures, and pivot points, offering traders precise identification of potential reversal zones.
The indicator supports detection of 13 major harmonic patterns: Gartley, Butterfly, Bat, Crab, Deep Crab, AB=CD, Cypher, Shark, Three Drives, Wolfe Waves, 5-0, Black Swan, and Anti-Gartley.
Each pattern is matched using ideal Fibonacci ratios with a customizable error margin. Patterns are validated only if the similarity score (accuracy) is greater than or equal to 80%, ensuring reliable signals.
🔎 How It Works:
1️⃣ Pivot Point Detection
The indicator uses a function to find major swing highs and lows (`findPivots`), based on a configurable pattern length (default is 18 candles). These pivots are stored in arrays: `pivotPrices`, `pivotBars`, and `pivotDirections`.
2️⃣ ZigZag Construction
With the pivots detected, the indicator constructs a ZigZag structure by connecting the relevant price points using `buildZigZag`. These lines represent the fundamental price movements forming harmonic shapes.
3️⃣ Fibonacci Ratio Calculation
From the ZigZag, the indicator extracts points labeled X, A, B, C, and D, then calculates key Fibonacci ratios:
* XAB = |B-A| / |X-A|
* ABC = |C-B| / |A-B|
* XAD = |D-A| / |X-A|
4️⃣ Pattern Matching Algorithm
Each pattern has its ideal Fibonacci ranges. The ratios are compared with these ranges using adjustable error margins:
ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100
ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100
If all required ratios for a pattern fall within these bounds, the pattern is considered a potential match.
5️⃣ Similarity Score Calculation
To evaluate accuracy, each pattern gets a similarity score by comparing actual vs. ideal ratios. For example:
simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio)
simABC = min(abcRatio / idealABC, idealABC / abcRatio)
simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio)
similarity = (simXAB + simABC + simXAD) / 3
Only patterns with a similarity ≥ MIN\_RATING\_PERCENT (default 80%) are shown.
6️⃣ Visual Output
When a pattern is detected, it is displayed by connecting the points X→A→B→C→D. A label is drawn at point D showing:
* Pattern Name
* Emoji (e.g., 🦋 for Gartley)
* Similarity percentage (e.g., "92%")
Patterns are color-coded:
🟢 Green for Bullish
🔴 Red for Bearish
⚙️ Configurable Settings:
* ENABLE_PATTERN_DETECTION`: Toggle to enable or disable pattern detection
* PATTERN_LENGTH_INPUT`: Number of candles to consider for structure
* DETECT_ERROR_MARGIN_PERCENT`: Controls allowed deviation from ideal Fibonacci ratios
* MIN_RATING_PERCENT`: Minimum similarity percentage to display a pattern (e.g., 80%)
🎨 Display Customization:
* Customize ZigZag lines (solid, dotted, dashed)
* Control thickness, color, and style of lines
* Adjust label font size, position, and visibility
* Enable or disable specific pattern types
* Modify Fibonacci levels used per pattern
Labels include emojis for easier recognition:
🦋 Gartley | 🐝 Butterfly | 🦈 Shark | 🐺 Wolfe Waves | 🦢 Black Swan | ⚡ Anti-Gartley
📚 Pattern Definitions:
Gartley: XAB ≈ 0.618, ABC ≈ 0.382–0.886, XAD ≈ 0.786
Butterfly: XAB ≈ 0.786, XAD ≈ 1.272
Bat: XAB ≈ 0.382–0.50, XAD ≈ 0.886
Crab / Deep Crab: XAD ≈ 1.618–1.902
AB=CD: AB equals CD (symmetrical moves)
Cypher: ABC ≈ 1.13–1.414, XAD ≈ 0.786
Shark: XAD ≈ 1.0–1.13
Three Drives: Three legs with Fibonacci extensions
Wolfe Waves: Geometrically aligned points, XAD ≈ 1.272–1.618
5-0: CD retraces 50% of previous wave
Black Swan: Rare, sharp pattern, XAD ≈ 3.618–4.236
Anti-Gartley: Reverse Gartley with custom ratios
📈 Target Markets:
This indicator is effective for analyzing:
✔ Forex
✔ Stocks
✔ Crypto
✔ Commodities (Gold, Oil, etc.)
Suitable for multiple trading styles:
* Scalping
* Swing Trading
* Position Trading
✨ Key Features:
✅ 13 harmonic patterns supported
✅ Automatic detection with accuracy scoring
✅ Adjustable error margins
✅ Fully customizable display
✅ Pattern-specific toggles
✅ Bullish/Bearish color-coded output
✅ Informative labels with pattern name, emoji, and similarity
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
كاشف الأنماط التوافقية 📊
مؤشر متطور مصمم للكشف التلقائي عن الأنماط التوافقية على مخططات الأسعار وتصورها بدقة عالية. يعتمد على نسب فيبوناتشي، وهياكل الزجزاج، ونقاط الارتكاز، مما يوفر للمتداولين تحديدًا دقيقًا لمناطق الانعكاس المحتملة.
يدعم المؤشر الكشف عن 13 نمطًا توافقيًا رئيسيًا: جارتلي، الفراشة، الخفاش، السلطعون، السلطعون العميق، AB=CD، السايفر، القرش، ثلاثة محركات، موجات وولف، 5-0، البجعة السوداء، ومضاد جارتلي.
يتم مطابقة كل نمط باستخدام نسب فيبوناتشي مثالية مع هامش خطأ قابل للتخصيص. لا يتم التحقق من صحة الأنماط إلا إذا كانت درجة التشابه (الدقة) أكبر من أو تساوي 80%، مما يضمن إشارات موثوقة.
🔎 كيفية العمل:
1️⃣ اكتشاف نقاط الارتكاز
يستخدم المؤشر دالة للعثور على قمم وقيعان التأرجح الرئيسية (`findPivots`)، بناءً على طول نمط قابل للتخصيص (الطول الافتراضي هو 18 شمعة). تُخزّن هذه النقاط المحورية في مصفوفات: `pivotPrices`، `pivotBars`، `pivotDirections`.
2️⃣ بناء ZigZag
بعد اكتشاف النقاط المحورية، يُنشئ المؤشر بنية ZigZag بربط نقاط السعر ذات الصلة باستخدام `buildZigZag`. تُمثل هذه الخطوط تحركات الأسعار الأساسية مُشكّلةً أشكالًا توافقية.
3️⃣ حساب نسبة فيبوناتشي
من ZigZag، يستخرج المؤشر النقاط المُسمّاة X، A، B، C، وD، ثم يحسب نسب فيبوناتشي الرئيسية:
* XAB = |B-A| / |X-A|
* ABC = |C-B| / |A-B|
* XAD = |D-A| / |X-A|
4️⃣ خوارزمية مطابقة الأنماط
لكل نمط نطاقات فيبوناتشي مثالية. تُقارن النسب بهذه النطاقات باستخدام هوامش خطأ قابلة للتعديل:
ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100
ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100
إذا وقعت جميع النسب المطلوبة للنمط ضمن هذه الحدود، يُعتبر النمط مطابقًا محتملًا.
5️⃣ حساب درجة التشابه
لتقييم الدقة، يحصل كل نمط على درجة تشابه بمقارنة النسب الفعلية بالنسب المثالية. على سبيل المثال:
simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio)
simABC = min(abcRatio / idealABC, idealABC / abcRatio)
simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio)
التشابه = (simXAB + simABC + simXAD) / 3
يتم عرض الأنماط التي يكون تشابهها ≥ MIN\_RATING\_PERCENT (الافتراضي 80%) فقط.
6️⃣ المخرجات المرئية
عند اكتشاف نمط، يتم عرضه بتوصيل النقاط X→A→B→C→D. يتم رسم علامة عند النقطة D تُظهر:
* اسم النمط
* رمز تعبيري (مثل 🦋 لنمط جارتلي)
* نسبة التشابه (مثل "92%))
الأنماط مُرمَّزة بالألوان:
🟢 أخضر للارتفاع
🔴 أحمر للانخفاض
⚙️ إعدادات قابلة للتخصيص:
* تمكين كشف النمط: تفعيل أو تعطيل كشف النمط
* إدخال طول النمط: عدد الشموع المُراد حسابها للهيكل
* كشف الخطأ: نسبة الهامش: يتحكم في الانحراف المسموح به عن نسب فيبوناتشي المثالية
* الحد الأدنى لنسبة التشابه لعرض النمط (مثل 80%)
🎨 تخصيص العرض:
* تخصيص خطوط متعرجة (متصلة، منقطة، متقطعة)
* التحكم في السُمك واللون ونمط الخطوط
* ضبط حجم خط التسمية وموضعه ووضوحه
* تفعيل أو تعطيل أنواع أنماط محددة
* تعديل مستويات فيبوناتشي المستخدمة لكل نمط
تتضمن التسميات رموزًا تعبيرية لتسهيل التعرف عليها:
🦋 جارتلي | 🐝 فراشة | 🦈 سمكة قرش | 🐺 موجات وولف | 🦢 بجعة سوداء | ⚡ نمط مضاد لـ غارتلي
📚 تعريفات الأنماط:
غارتلي: XAB ≈ 0.618، ABC ≈ 0.382–0.886، XAD ≈ 0.786
فراشة: XAB ≈ 0.786، XAD ≈ 1.272
خفاش: XAB ≈ 0.382–0.50، XAD ≈ 0.886
سرطان البحر/سرطان البحر العميق: XAD ≈ 1.618–1.902
AB=CD: AB يساوي CD (حركات متماثلة)
سايفر: ABC ≈ 1.13–1.414، XAD ≈ 0.786
شارك: XAD ≈ 1.0–1.13
ثلاثة أرجل: ثلاثة أرجل مع فيبوناتشي امتدادات
موجات وولف: نقاط متوازية هندسيًا، XAD ≈ 1.272–1.618
5-0: تصحيح CD بنسبة 50% من الموجة السابقة
البجعة السوداء: نمط نادر وحاد، XAD ≈ 3.618–4.236
مضاد جارتلي: جارتلي معكوس بنسب مخصصة
📈 الأسواق المستهدفة:
هذا المؤشر فعال لتحليل:
✔ الفوركس
✔ الأسهم
✔ العملات المشفرة
✔ السلع (الذهب، النفط، إلخ)
مناسب لأنماط تداول متعددة:
* المضاربة السريعة
* تداول التأرجح
* تداول المراكز
✨ الميزات الرئيسية:
✅ دعم 13 نمطًا توافقيًا
✅ كشف تلقائي مع تسجيل الدقة
✅ هوامش خطأ قابلة للتعديل
✅ شاشة قابلة للتخصيص بالكامل
✅ مفاتيح تبديل خاصة بالأنماط
✅ مخرجات مرمزة بالألوان للصعود/الهبوط
✅ تسميات توضيحية مع النمط الاسم، والرموز التعبيرية، والتشابه
⚠️ إخلاء مسؤولية:
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.
Fibonacci Retracement Engine (DFRE) [PhenLabs]📊 Fibonacci Retracement Engine (DFRE)
Version: PineScript™ v6
📌 Description
Dynamic Fibonacci Retracement Engine (DFRE) is a sophisticated technical analysis tool that automatically detects important swing points and draws precise Fibonacci retracement levels on various timeframes. The intelligent indicator eliminates the subjectivity of manual Fibonacci drawing using intelligent swing detection algorithms combined with multi timeframe confluence analysis.
Built for professional traders who demand accuracy and consistency, DFRE provides real time Fibonacci levels that adapt to modifications in market structure without sacrificing accuracy in changing market conditions. The indicator excels at identifying key support and resistance levels where price action is more likely to react, giving traders a potent edge in entry and exit timing.
🚀 Points of Innovation
Intelligent Swing Detection Algorithm : Advanced pivot detection with customizable confirmation bars and minimum swing percentage thresholds
Multi-Timeframe Confluence Engine : Simultaneous analysis across three timeframes to identify high-probability zones
Dynamic Level Management : Automatically updates and manages multiple Fibonacci sets while maintaining chart clarity
Adaptive Visualization System : Smart labeling that shows only the most relevant levels based on user preferences
Real-Time Confluence Detection : Identifies zones where multiple Fibonacci levels from different timeframes converge
Automated Alert System : Comprehensive notifications for level breakouts and confluence zone formations
🔧 Core Components
Swing Point Detection Engine : Uses pivot high/low calculations with strength confirmation to identify significant market turns
Fibonacci Calculator : Automatically computes standard retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886) plus extensions (1.272, 1.618)
Multi-Timeframe Security Function : Safely retrieves Fibonacci data from higher timeframes without repainting
Confluence Analysis Module : Mathematically identifies zones where multiple levels cluster within specified thresholds
Dynamic Drawing Management : Efficiently handles line and label creation, updates, and deletion to maintain performance
🔥 Key Features
Customizable Swing Detection : Adjust swing length (3-50 bars) and strength confirmation (1-10 bars) to match your trading style
Selective Level Display : Choose which Fibonacci levels to show, from core levels to full extensions
Multi-Timeframe Analysis : Analyze up to 3 different timeframes simultaneously for confluence identification
Intelligent Labeling System : Options to show main levels only or all levels, with latest-set-only functionality
Visual Customization : Adjustable line width, colors, and extension options for optimal chart clarity
Performance Optimization : Limit maximum Fibonacci sets (1-5) to maintain smooth chart performance
Comprehensive Alerting : Get notified on level breakouts and confluence zone formations
🎨 Visualization
Dynamic Fibonacci Lines : Color-coded lines (green for uptrends, red for downtrends) with customizable width and extension
Smart Level Labels : Precise level identification with both ratio and price values displayed
Confluence Zone Highlighting : Visual emphasis on areas where multiple timeframe levels converge
Clean Chart Management : Automatic cleanup of old drawing objects to prevent chart clutter
Responsive Design : All visual elements adapt to different chart sizes and timeframes
📖 Usage Guidelines
Swing Detection Settings
Swing Detection Length - Default: 25 | Range: 3-50 | Controls the lookback period for identifying pivot points. Lower values detect more frequent swings but may include noise, while higher values focus on major market turns.
Swing Strength (Confirmation Bars) - Default: 2 | Range: 1-10 | Number of bars required to confirm a swing point. Higher values reduce false signals but increase lag.
Minimum Swing % Change - Default: 1.0% | Range: 0.1-10.0% | Minimum percentage change required to register a valid swing. Filters out insignificant price movements.
Fibonacci Level Settings
Individual Level Toggles : Enable/disable specific Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886)
Extensions : Show projection levels (1.272, 1.618) for target identification
Multi-Timeframe Settings
Timeframe Selection : Choose three higher timeframes for confluence analysis
Confluence Threshold : Percentage tolerance for level clustering (0.5-5.0%)
✅ Best Use Cases
Swing Trading : Identify optimal entry and exit points at key retracement levels
Confluence Trading : Focus on high-probability zones where multiple timeframe levels align
Support/Resistance Trading : Use dynamic levels that adapt to changing market structure
Breakout Trading : Monitor level breaks for momentum continuation signals
Target Setting : Utilize extension levels for profit target placement
⚠️ Limitations
Lagging Nature : Requires confirmed swing points, which means levels appear after significant moves
Market Condition Dependency : Works best in trending markets; less effective in extremely choppy conditions
Multiple Signal Complexity : Multiple timeframe analysis may produce conflicting signals requiring experience to interpret
Performance Considerations : Multiple Fibonacci sets and MTF analysis may impact indicator loading time on slower devices
💡 What Makes This Unique
Automated Precision : Eliminates manual drawing errors and subjective level placement
Multi-Timeframe Intelligence : Combines analysis from multiple timeframes for superior confluence detection
Adaptive Management : Automatically updates and manages multiple Fibonacci sets as market structure evolves
Professional-Grade Alerts : Comprehensive notification system for all significant level interactions
🔬 How It Works
Step 1 - Swing Point Identification : Scans price action using pivot high/low calculations with specified lookback periods, applies confirmation logic to eliminate false signals, and calculates swing strength based on surrounding price action for quality assessment.
Step 2 - Fibonacci Level Calculation : Automatically computes retracement and extension levels between confirmed swing points, creates dynamic level sets that update as new swing points are identified, and maintains multiple active Fibonacci sets for comprehensive market analysis.
Step 3 - Multi-Timeframe Confluence : Retrieves Fibonacci data from higher timeframes using secure request functions, analyzes level clustering across different timeframes within specified thresholds, and identifies high-probability zones where multiple levels converge.
💡 Note: This indicator works best when combined with other technical analysis tools and proper risk management. The multi-timeframe confluence feature provides the highest probability setups, but always confirm signals with additional analysis before entering trades.
Gann Ultimate Time-Price Squares Method V 1.0This Script is an outcome of my Passion towards Gann Theory and his Methodology towards Trading.
The Script is still Evolving.So wait for more updates....
# Complete Trading Guide: Gann Time-Price Squares Indicator
## 🎯 Core Trading Philosophy
**Gann's Key Principle**: "When time and price come together, a change in trend occurs."
Your indicator identifies these critical moments where **Time = Price**, creating high-probability trading opportunities.
---
## 📊 Setup & Configuration
### Recommended Settings by Timeframe
| Timeframe | Pivot Lookback | Min Price Move | Tolerance | Use Case |
|-----------|---------------|----------------|-----------|----------|
| **1-5 min** | 5-8 bars | 0.5-1.0 | 1.0-2.0 | Scalping |
| **15-30 min** | 8-12 bars | 1.0-3.0 | 1.5-2.5 | Day Trading |
| **1-4 hour** | 10-15 bars | 2.0-5.0 | 2.0-3.0 | Swing Trading |
| **Daily** | 15-25 bars | 5.0-20.0 | 3.0-5.0 | Position Trading |
### Initial Setup Steps
1. **Add indicator** to your chart
2. **Set lookback period** based on your timeframe
3. **Adjust tolerance** - start with 2.0 and fine-tune
4. **Enable all visualizations** initially
5. **Position info table** where it doesn't block price action
---
## 🚀 Trading Strategies
### Strategy 1: Square Completion Reversal Trading
#### **Long Entry Setup**
```
CONDITIONS:
✅ Bullish square completes (green box appears)
✅ Info table shows "✅ COMPLETED" status
✅ Price bounces off square's bottom edge
✅ Volume increases on bounce
✅ RSI < 30 (oversold confirmation)
ENTRY: Market buy when price breaks above square's top edge
STOP: Below square's bottom edge (-2 ATR)
TARGET: Next resistance level or 1:2 Risk/Reward
```
#### **Short Entry Setup**
```
CONDITIONS:
✅ Bearish square completes (red box appears)
✅ Info table shows "✅ COMPLETED" status
✅ Price rejects square's top edge
✅ Volume increases on rejection
✅ RSI > 70 (overbought confirmation)
ENTRY: Market sell when price breaks below square's bottom edge
STOP: Above square's top edge (+2 ATR)
TARGET: Next support level or 1:2 Risk/Reward
```
### Strategy 2: Gann Angle Trend Following
#### **1x1 Angle (45°) - The Master Angle**
- **Most Important**: This is Gann's primary trend line
- **Bullish**: Price above 1x1 = uptrend intact
- **Bearish**: Price below 1x1 = downtrend intact
- **Break**: 1x1 angle break = major trend change
#### **Multi-Angle Confluence Trading**
```
STRONG BULLISH SIGNAL:
✅ Price above 1x1 angle (45°)
✅ Bouncing off 2x1 angle (support)
✅ Volume increasing
✅ Multiple angles pointing up
ENTRY: Buy on 2x1 angle bounce
STOP: Below 1x2 angle
TARGET: Next angle resistance
```
### Strategy 3: Projection Trading (Forming Squares)
#### **Anticipation Strategy**
```
SETUP IDENTIFICATION:
👀 Info table shows "⚡ FORMING" status
👀 Progress bar > 70%
👀 P/T Ratio approaching 1.00
👀 Price approaching projected completion zone
ENTRY PREPARATION:
- Set alerts for projected completion levels
- Prepare for reversal at projection zone
- Watch for volume confirmation
- Monitor momentum indicators
```
## 📈 Step-by-Step Trading Process
### Phase 1: Market Analysis (Before Trading)
1. **Check Market Trend**: Look at info table trend indicator
2. **Identify Active Pivots**: Note last significant high/low
3. **Assess Volatility**: High volatility = larger stops needed
4. **Review Completed Squares**: These become support/resistance zones
### Phase 2: Trade Setup Identification
1. **Monitor Forming Squares**: Watch progress bars in info table
2. **Check Gann Angles**: Are they supporting or opposing your bias?
3. **Confirm with Volume**: Look for volume spikes at key levels
4. **Set Alerts**: Use TradingView alerts for completion zones
### Phase 3: Trade Execution
1. **Wait for Confirmation**: Don't trade on projections alone
2. **Enter on Breakout**: Price breaking square boundaries
3. **Set Stops Immediately**: Use square edges as stop levels
4. **Scale Out**: Take partial profits at angle intersections
### Phase 4: Trade Management
1. **Trail Stops**: Use Gann angles as trailing stop levels
2. **Monitor Progress**: Watch for new square formations
3. **Exit Signals**: New squares in opposite direction
4. **Review Performance**: Analyze win/loss against square accuracy
---
## 🎯 High-Probability Setups
### Setup A: Double Confirmation
```
BULLISH EXAMPLE:
1. Bullish square completes at major support
2. Price bounces off 1x1 Gann angle
3. Volume surge confirms reversal
4. RSI divergence present
PROBABILITY: 75-80%
RISK/REWARD: 1:3 typical
```
### Setup B: Angle Breakout
```
BEARISH EXAMPLE:
1. Price breaks below 1x1 angle
2. Bearish square forming below break
3. Multiple angles now resistance
4. Volume confirms breakdown
PROBABILITY: 70-75%
RISK/REWARD: 1:2.5 typical
```
### Setup C: Time Cycle Convergence
```
REVERSAL EXAMPLE:
1. Square completion at time cycle high/low
2. Multiple Gann angles converging
3. Momentum divergence
4. Volume climax
PROBABILITY: 80-85%
RISK/REWARD: 1:4 possible
```
---
## ⚠️ Risk Management Rules
### Position Sizing
- **Conservative**: 1-2% risk per trade
- **Aggressive**: 2-3% risk per trade
- **Never exceed**: 5% total portfolio risk
### Stop Loss Guidelines
- **Completed Squares**: Opposite edge + 1 ATR
- **Gann Angles**: Below/above angle + 0.5 ATR
- **Projections**: 50% of square height
### Take Profit Targets
- **Target 1**: Next Gann angle (1:1 R/R)
- **Target 2**: Next completed square (1:2 R/R)
- **Target 3**: Major S/R level (1:3 R/R)
---
## 📊 Reading the Info Table for Trading
### Market Trend Section
```
📈 BULLISH → Look for long setups
📉 BEARISH → Look for short setups
➡️ NEUTRAL → Wait for direction
```
### Volatility Status
```
🔥 HIGH → Larger stops needed
⚡ ELEVATED → Normal stops
😴 LOW → Tighter stops possible
📊 NORMAL → Standard approach
```
### Square Progress Monitoring
```
✅ COMPLETED → Ready to trade
⚡ FORMING → Prepare for setup
🔥 ACTIVE → Monitor closely
⏳ WAITING → No immediate action
```
### P/T Ratio Interpretation
```
🎯 Perfect (0.8-1.2) → High probability setup
⚡ Good (0.6-1.4) → Moderate probability
⚠️ Watch (outside range) → Lower probability
```
---
## 🔄 Common Trading Scenarios
### Scenario 1: Trend Continuation
**Setup**: Price pulls back to completed square in uptrend
**Action**: Buy at square support with 1x1 angle confirmation
**Management**: Trail stop below each new square formation
### Scenario 2: Reversal Trading
**Setup**: Multiple squares complete at major S/R
**Action**: Fade the move when price rejects square edges
**Management**: Quick profits, tight stops
### Scenario 3: Breakout Trading
**Setup**: Price consolidates in square, then breaks out
**Action**: Trade breakout direction with volume confirmation
**Management**: Use opposite square edge as stop
---
## 📱 Alert Setup Recommendations
### Critical Alerts
1. **Square Completion**: "Gann Square Completed - Check for reversal"
2. **1x1 Angle Break**: "Master angle broken - Trend change possible"
3. **Projection Reached**: "Forming square at 90% - Prepare for reversal"
4. **Multi-Angle Touch**: "Price at angle confluence - High probability setup"
---
Remember: **Gann analysis is both art and science**. The indicator provides the mathematical framework, but successful trading requires patience, discipline, and continuous learning. Start with small positions while you master the methodology!
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM)
The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks.
### Theoretical Foundation
#### 1. Purchasing Power Parity (PPP) Theory
Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments.
#### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory
Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials.
#### 3. Behavioral Finance and Currency Momentum
Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities.
#### 4. Portfolio Balance Theory
Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs.
### Technical Implementation
#### Core Methodologies:
- **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling
- **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification
- **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength
- **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness
- **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory
#### Key Features:
- **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources
- **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods
- **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs
- **Alert System**: Automated notifications for strong/weak currency conditions and extreme values
- **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities
### Practical Applications
#### For Swing Traders:
- Identify currencies in strong uptrends or downtrends
- Select optimal currency pairs based on relative strength divergence
- Time entries based on momentum convergence/divergence
#### For Day Traders:
- Use with real-time futures data for intraday opportunities
- Monitor currency correlations for risk management
- Detect early reversal signals through extreme value alerts
#### For Portfolio Managers:
- Multi-currency exposure analysis
- Risk management through correlation monitoring
- Strategic currency allocation decisions
### Visual Design
The indicator features a clean, professional dashboard that displays:
- **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values
- **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals
- **Market Analysis**: Real-time identification of strongest and weakest currencies
- **Potential Score**: Quantitative measure of trading opportunity strength
### Data Sources and Latency
The indicator supports multiple data sources to accommodate different trading needs:
- **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading
- **Futures (Real-time)**: CME currency futures for real-time analysis
- **CFDs**: Alternative real-time data source option
### Mathematical Framework
#### Strength Calculation:
Momentum = (Price - Price ) / Price * 100
Z-Score = (Price - Mean) / Standard Deviation
Volatility-Adjusted = Momentum / ATR-based Volatility
Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted
#### USD Strength Derivation:
USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison.
### Performance Considerations
The indicator is optimized for:
- **Computational Efficiency**: Uses Pine Script v6 best practices
- **Memory Management**: Appropriate lookback periods and array handling
- **Visual Clarity**: Clean table design optimized for both light and dark themes
- **Alert Reliability**: Robust signal generation with statistical significance testing
### Limitations and Risk Disclosure
- Model performance may vary during extreme market stress (Black Swan events)
- Requires stable data feeds for accurate calculations
- Not optimized for high-frequency scalping strategies
- Central bank interventions may temporarily distort signals
- Performance assumes normal market conditions with behavioral adjustments
### Academic References
- Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets"
- Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets"
- Cassel, G. (1918). "Abnormal Deviations in International Exchanges"
- Fama, E. F. (1984). "Forward and Spot Exchange Rates"
- Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates"
- Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers"
- Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets"
- Markowitz, H. (1952). "Portfolio Selection"
- Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility"
- Sharpe, W. F. (1994). "The Sharpe Ratio"
- Wilder, J. W. (1978). "New Concepts in Technical Trading Systems"
### Usage Instructions
1. **Setup**: Add the indicator to your chart and select your preferred data source
2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies)
3. **Methodology**: Select calculation method (Composite recommended for most users)
4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities
5. **Alerts**: Set up notifications for strong/weak currency conditions
RSI For LoopTitle: RSI For Loop
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a sophisticated tool designed to identify overbought and oversold conditions using a customizable Relative Strength Index (RSI). By averaging RSI over a user-defined lookback period, this indicator provides clear visual signals for bullish and bearish market conditions. The RSI line and price bars are dynamically colored to highlight momentum, making it easier for traders to spot potential trading opportunities.
How It Works
RSI Calculation:
Computes RSI based on a user-selected price source (Close, High, Low, or Open) with a configurable length (default: 5). Optional moving average smoothing refines the RSI signal for smoother analysis.
Lookback Averaging:
Averages the RSI over a user-defined lookback period (default: 5) to generate a stable momentum indicator, reducing noise and enhancing signal reliability.
Threshold-Based Signals:
Long Signal: Triggered when the averaged RSI exceeds the upper threshold (default: 52), indicating overbought conditions.
Short Signal: Triggered when the averaged RSI falls below the lower threshold (default: 48), indicating oversold conditions.
Visual Representation
The indicator provides a clear and customizable visual interface: Green RSI Line and Bars: Indicate overbought conditions when the averaged RSI surpasses the upper threshold, signaling potential long opportunities.
Red RSI Line and Bars: Indicate oversold conditions when the averaged RSI drops below the lower threshold, signaling potential short opportunities.
Neutral Gray RSI Line: Represents RSI values between thresholds for neutral market conditions.
Threshold Lines: Dashed gray lines mark the upper and lower thresholds on the RSI panel for easy reference.
Customization & Parameters
The RSI with Threshold Colors and Bar Coloring indicator offers flexible parameters to suit
various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open).
RSI Length: Adjust the RSI calculation period (default: 5).
Smoothing: Enable/disable moving average smoothing (default: enabled) and set the smoothing length (default: 10).
Moving Average Type: Choose from multiple types (SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA; default: ALMA).
ALMA Sigma: Configure the ALMA smoothing parameter (default: 5).
Lookback Period: Set the period for averaging RSI (default: 5).
Thresholds: Customize the upper (default: 52) and lower (default: 48) thresholds for signal generation.
Color Settings: Transparent green and red colors (70% transparency) for bullish and bearish signals, with gray for neutral states.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong overbought or oversold conditions for potential entry or exit points.
Trend Confirmation: Use bar coloring to confirm RSI-based signals with price action on the main chart.
Reversal Detection: Identify potential reversals when RSI crosses the customizable thresholds.
Scalping and Swing Trading: Adjust parameters (e.g., RSI length, lookback) to suit short-term or longer-term strategies.
Final Note
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a powerful tool for traders seeking to leverage RSI for momentum and reversal opportunities. Its combination of lookback-averaged RSI, dynamic threshold signals, and synchronized RSI and bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
SimpleBias ProSimpleBias PRO - Advanced Multi-Timeframe Bias Analysis System
SimpleBias PRO is an advanced multi-timeframe bias analysis system, specifically designed for professional traders who need in-depth analysis and integrated risk management. A major upgrade from the free version, it features 6 separate table systems and sophisticated trading logic.
Key Features
Multi-Table Analysis System
SimpleBias Table - Core bias analysis across 8 timeframes
Logic Table - Advanced trading logic with confluence requirements
EMA Table - Trend analysis with customizable EMA system
Time Table - Session-based timing optimization
Time & Price Table - Combined temporal and price analysis
Risk Management Table - Automated position sizing calculations
Advanced EMA Integration
Multiple source options: Open, Close, High, Low
Dynamic color modes with bullish/bearish visualization
EMA direction analysis (RISE/FALL/NEUTRAL)
Customizable periods (1-9999) with plot capability
Professional line width control (1-5 pixels)
Smart Time-Based Analysis
Optimized trading hours for different timeframes
New York timezone integration for global markets
Time status indicators with visual confirmation
Session-specific filtering for 15m, 5m, 1m strategies
Enhanced Trading Logic
Multi-timeframe confluence requirements
Mid-timeframe bias analysis
EMA direction confirmation system
Time-based entry filtering
Separate conditions for scalping (1m), day trading (5m), and swing (15m)
Professional Risk Management
Balance input with validation ($100 - $10,000,000)
Risk percentage control (0.1% - 10.0%)
Stop loss configuration in pips (5-5000)
Automatic position sizing calculations
Real-time risk assessment display
How It Works
Bias Calculation
The indicator determines market bias by comparing the current timeframe's open price with the previous period's open price:
BULLISH: Current open > Previous open
BEARISH: Current open < Previous open
NEUTRAL: Current open = Previous open
Multi-Timeframe Confluence The system requires alignment across multiple timeframes before generating signals:
15-Minute Strategy:
4h, 1h, 15m bias alignment
1H mid-timeframe confirmation
EMA direction confirmation
Optimal time session validation
5-Minute Strategy:
1h, 15m, 5m bias alignment
15M mid-timeframe confirmation
EMA trend validation
Session timing optimization
1-Minute Strategy:
15m, 5m, 1m bias alignment
5M mid-timeframe confirmation
EMA direction sync
Precise timing windows
Risk Management Integration Automatic position sizing based on:
Account balance
Risk percentage
Stop loss distance
Current market conditions
Advanced Customization
Theme & Display Options
Light/Dark mode with automatic color adaptation
Transparent background options
Individual table toggle controls
Position control (Top/Middle/Bottom Right)
Text size optimization (Tiny/Small/Normal)
Professional Color Schemes
Separate bias color customization
Dynamic EMA coloring
Signal color differentiation
Theme-adaptive interface elements
Best Practices
For Professional Day Trading
Use 15-minute charts with 15M strategy
Focus on 4H and 1H bias alignment
Enable EMA confirmation
Trade during optimal NY sessions
Apply 0.25-0.5% risk per trade
For Advanced Scalping
Use 5-minute charts with 5M strategy
Require 1H and 15M bias confluence
Monitor EMA direction changes
Focus on high-probability time windows
Use tight risk management (0.1-0.25%)
For Swing Trading
Use 15-minute+ charts
Focus on higher timeframe bias alignment
Allow wider stop losses
Use longer EMA periods
Apply conservative risk (0.5-1%)
Technical Specifications
Pine Script Version: v6
Performance: Multi-table system with efficient rendering
Compatibility: All TradingView timeframes and instruments
Updates: Real-time bias detection and signal generation
Important Disclaimers
This indicator is for educational and analysis purposes only. Not financial advice - always conduct your own research and risk assessment. Past performance does not guarantee future results. Proper risk management is essential for all trading activities.
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite
Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion.
Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points.
Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean.
🎯 Key Features
✅ Dynamic Swing Low Anchoring
Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period.
Provides context for trend progression and overextension relative to structural lows.
✅ Standard Deviation Bands
Plots up to +5σ deviation bands to visualize levels of overextension.
Extended bands (+3σ to +5σ) can be toggled for simplicity.
✅ Conditional Zone Fills
Colored background fills show when price is inside each valuation zone.
Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory.
✅ Divergence Detection
VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates.
Low Volume Retest: Highlights weak re-tests of VWAP on low volume.
Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ.
✅ Volume Fallback
If volume is unavailable, uses high-low range as a proxy.
✅ Highly Customizable
Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences.
🛠️ How to Use
Identify Buy and Sell Zones
Price in the fair value band (±1σ) suggests equilibrium.
Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits.
+4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups.
Monitor Divergence Signals
Use slope divergence and deviation failures to look for confluence with overextension.
Low volume retests can flag rallies lacking conviction.
Adapt Swing Lookback
30–50 bars: Faster re-anchoring for swing trading.
75–100 bars: More stable anchors for longer-term trends.
🧭 Best Practices
Combine the anchored VWAP with higher timeframe structure.
Confirm signals with other tools (momentum, volume profiles, or trend filters).
Use extended deviation zones as context, not as standalone signals.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
Better MACD📘 Better MACD – Adaptive Momentum & Divergence Suite
Better MACD is a comprehensive momentum-trend tool that evolves the traditional MACD into a multi-dimensional, divergence-aware oscillator. It leverages exponential smoothing across logarithmic rate-of-change of OHLC data, adaptive signal processing, and intelligent divergence detection logic to provide traders with earlier, smoother, and more reliable momentum signals.
This indicator is built for professional-level analysis, suitable for scalping, swing trading, and trend-following systems.
🧬 Core Concept
Unlike the classic MACD which subtracts two EMAs of price, Better MACD constructs a signal by:
Applying logarithmic transformation on the change between OHLC components (Close, High, Low, Open).
Using double EMA smoothing to filter noise and volatility, Triangular method. 1st to 2nd Smoothing.
Averaging and de-biasing the results through a custom linear regression model, 4th Smoothing.
Subtracting a fast SMA and slow SMA response to yield a dynamic MACD value, 3rd Smoothing.
The result is a smooth, adaptive, and high-resolution MACD-style oscillator that responds more naturally to trend conditions and price geometry.
🧠 Features Breakdown
1. 📈 Multi-Layer MACD Engine
Src1: Smoothed Log Rate-of-Change on Close
Src2: Smoothed Log Rate-of-Change on High
Src3: Smoothed Log Rate-of-Change on Low
Src4: Smoothed Log Rate-of-Change on Open
These are blended using highest high, lowest low, and average Close price over a configurable window for more complete trend detection. The open-based Src4 is subtracted using SMA.
2. 🧮 Signal Line
A fast EMA (signalLength) of the Better MACD value is used for crossover logic.
Crossovers of MACD and Signal line signal potential entries or exits.
3. 📊 MACD Histogram
Visualizes the difference between MACD and Signal line.
Dynamically color-coded:
Green/Light Green for bullish impulse
Red/Pink for bearish impulse
Width and color intensity reflect strength and momentum slope.
🎨 Visual Enhancements
Feature Description
✅ Ribbon Fill Optional fill between MACD and Signal line, colored by trend direction
✅ Zero-Line Background Background highlights above/below 0 to easily read bullish/bearish bias
✅ Crossover Highlights Tiny circles plotted when MACD crosses Signal line
🔍 Divergence Detection Suite
The script includes a full Divergence Engine to detect:
🔼 Bullish Regular Divergence (Price lower lows + Indicator higher lows)
🔽 Bearish Regular Divergence (Price higher highs + Indicator lower highs)
🟢 Bullish Hidden Divergence (Price higher lows + Indicator lower lows)
🔴 Bearish Hidden Divergence (Price lower highs + Indicator higher highs)
🧩 Divergence Modes:
Supports both Regular, Hidden, or Both simultaneously
Detects from either Close Price or Heikin Ashi-derived candles
Uses dynamic pivot tracking with configurable lookback and divergence sensitivity
Divergence lines are labeled, colored, and plotted in real-time
🔁 Styling & Customization:
Choose from Solid, Dashed, or Dotted line styles
Configure separate colors and widths for all divergence types
Control number of divergence lines visible or only show the most recent
Divergences update live without repainting
⚠️ Alerts
Alerts are built-in for real-time notification:
MACD Histogram reversals (rising → falling, or vice versa)
Divergence signals (all 4 types, grouped and individually)
Combines seamlessly with TradingView alerts for actionable triggers
🔧 Input Controls (Grouped by Purpose)
Better MACD Group
1st–4th Smoothing Lengths: Controls responsiveness of MACD core engine
Signal Length: Smoothness of signal line
Toggles for crossover highlights, zero cross fills, and ribbon fills
Divergence Settings
Enable/disable divergence lines
Choose divergence type (Regular, Hidden, Both)
Set confirmation requirements
Customize pivot detection and bar search depth
Styling Options
Colors, line widths, and line styles for each divergence type
Heikin Ashi Mode for smoother pivots and divergences
🧠 How to Use
✅ For Trend Traders:
Use MACD > Signal + Histogram > 0 → Bullish confirmation
MACD < Signal + Histogram < 0 → Bearish confirmation
Wait for pullbacks with hidden divergences to enter in trend direction
✅ For Reversal Traders:
Look for Regular Divergences at trend exhaustion points
Combine with price action (e.g., support/resistance or candle pattern)
✅ For Swing & Day Traders:
Enable Heikin Ashi Mode for smoother divergence pivots
Use zero line background + histogram color to time entries
📌 Summary
Feature Description
🚀 Advanced MACD Core Smoother, more reliable, multi-source-based MACD
🔍 Divergence Engine Detects 4 divergence types with pivot logic
🎯 Real-Time Alerts Alerts for histogram slope and divergences
🎛️ Deep Customization Full styling, smoothing, and detection controls
📉 Heikin Ashi Support Improved signal quality in trend-based markets
Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability
Version: PineScript™ v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
🚀 Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
🔧 Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
🔥 Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
🎨 Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
📖 Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
✅ Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
⚠️ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
💡 What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
🔬 How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
💡 Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview
The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions.
The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability.
The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period.
The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline
Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline
Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes
Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions
Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions
Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation
2. Momentum Confirmation and Visual Analysis
Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum
Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification
Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar
Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation
Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions
3. Examples: Preconfigured Settings
Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes.
Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts.
Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts.
Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes.
Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Best ADX Pro🎯 Best ADX Pro: Advanced Multi-Smoothing Trend Analysis
📌 Overview
The Best ADX Pro is a sophisticated enhancement of the traditional ADX indicator, offering five smoothing methods for unparalleled adaptability across market conditions. Designed for traders who demand precision, it combines flexible trend detection with customizable sensitivity, making it ideal for all trading styles—from scalping to long-term investing.
✨ Key Upgrades from Standard ADX
5 Smoothing Methods – Choose between EMA, SMA, RMA, WMA, and SMMA to match your strategy’s responsiveness.
Smart Thresholds – Dual levels (default: 20 and 25) filter weak trends and confirm strong momentum.
Zero-Division Protection – Ensures stable calculations during low-volatility periods.
Alerts & Crosses – Built-in alerts for DI+/DI- crossovers and ADX threshold breaks.
⚙️ When to Use Each Smoothing Mode
🔴 EMA (Exponential Moving Average)
Best For: Scalping/Crypto
Timeframe: M1-M15
Risk: Higher false signals
🟠 WMA (Weighted Moving Average)
Best For: Swing Trading
Timeframe: H1-H4
Risk: Moderate
🟢 SMA (Simple Moving Average)
Best For: Position Trading
Timeframe: D1-W1
Risk: Lowest noise
🔵 RMA/SMMA (Wilder’s & Smoothed MA)
Best For: Classic ADX Strategy
Timeframe: Any
Risk: Balanced
📈 Pro Strategies
🔴 Trend Acceleration
Enter: When ADX > 20 (WMA/RMA) + DI+ > DI- (uptrend).
Exit: If ADX < 15 or DI- crosses DI+.
🟠 Reversal Trading
SMMA + Length 20: Wait for DI+/DI- crossover + ADX rising from below 25.
🟢 Low-Noise Filtering
SMA + Length 30: Ignore trades if ADX < 20 (avoids choppy markets).
⚠️ Limitations & Fixes
Whipsaws in Ranges → Combine with ATR to filter low-volatility phases.
Lag on SMA → Use WMA/EMA for faster entries on lower timeframes.
🎯 Who Should Use It?
🚀 Day Traders: EMA/WMA for quick signals.
⏳ Swing Traders: RMA/SMMA for reliability.
🤖 Algorithmic Trading: SMA for backtest stability.
🎨 Color Guide
🔴 EMA → Fastest signals (volatile markets).
🟠 WMA → Prioritizes recent data (aggressive trends).
🟢 SMA → Smoothest output (low noise).
🔵 RMA/SMMA → Classic ADX Wilder’s smoothing.
T3 Moving Average with Multiple EMAsT3 Moving Average with Multiple EMAs
Short Title: T3 + EMAs
Overview
The T3 Moving Average with Multiple EMAs is a versatile trend-following indicator that combines the smooth, adaptive T3 Moving Average with eight customizable multi-timeframe Exponential Moving Averages (EMAs). Designed for traders seeking clarity in trend direction and momentum, this indicator overlays on the price chart to highlight dynamic support/resistance levels and trend alignment across multiple timeframes.
Key Features
T3 Moving Average: A highly responsive, smoothed moving average (default: 9-period, 0.7 volume factor) that reduces lag while maintaining accuracy, ideal for identifying short-term trends and reversals.
Eight Multi-Timeframe EMAs: Plots eight EMAs (default lengths: 8, 13, 21, 34, 55, 89, 144, 233) sourced from user-defined timeframes (e.g., 1m, 5m, 15m, 1h, 4h), providing a comprehensive view of short-, medium-, and long-term trends.
Customizable Timeframes: Each EMA can be independently set to a specific timeframe, allowing traders to analyze cross-timeframe trend alignment.
Theme Support: Offers "Dark" and "Light" themes with optimized colors for visual clarity and chart compatibility.
Flexible Parameters: Adjust T3 length, volume factor, EMA lengths, and timeframes to suit various markets and trading styles (scalping, swing trading, or long-term investing).
How It Works
The T3 Moving Average is calculated using a multi-stage EMA formula weighted by a volume factor, offering smoother trend tracking than traditional EMAs. The eight EMAs, sourced from higher or lower timeframes using request.security, provide a layered perspective on price trends. Faster EMAs (e.g., 8, 13) react to short-term price movements, while slower EMAs (e.g., 144, 233) reflect longer-term trends. The indicator plots all lines on the price chart with distinct, theme-adjusted colors for easy identification.
Usage
Trend Identification: Use the T3 MA for short-term trend signals and the EMAs to confirm broader trend direction. A price above multiple EMAs suggests a bullish trend; below indicates bearish.
EMA Crossovers: Watch for crossovers between faster and slower EMAs (e.g., 8 crossing 21) for potential entry/exit signals.
Support/Resistance: Treat slower EMAs (e.g., 89, 144) as dynamic support/resistance levels, especially on higher timeframes.
Timeframe Alignment: Align trades with the trend direction of higher-timeframe EMAs for higher-probability setups.
Customization: Adjust T3 and EMA settings to match your trading style or asset volatility.
Settings
T3 Parameters:
Length (default: 9): Period for T3 calculation.
Volume Factor (default: 0.7): Controls T3 smoothness (0.1–1.0).
EMA Parameters:
Lengths (default: 8, 13, 21, 34, 55, 89, 144, 233): Period for each EMA.
Timeframes (default: 5m, 5m, 15m, 15m, 1h, 1h, 4h, 4h): Select from 1m, 5m, 15m, 30m, 1h, 4h, D, W, or M.
Theme: Choose "Dark" (vibrant colors) or "Light" (softer colors) for chart compatibility.
Notes
Combine with other tools (e.g., RSI, support/resistance, or volume) for confirmation.
Optimize settings for specific markets (e.g., crypto, forex, stocks) or timeframes.
The indicator is overlayed on the price chart for seamless integration with price action analysis.
Author’s Note
This indicator was designed to provide traders with a clear, multi-timeframe perspective on trends using the T3 MA and EMAs. Feedback is welcome to enhance this tool for the TradingView community!
Fast_VwapThis is a Pine Script indicator that calculates and displays Volume Weighted Average Price (VWAP) with several advanced features, including multiple anchoring methods, deviation bands, and optional machine learning enhancements.
Core Components
1. VWAP Calculation
The indicator calculates VWAP using the standard formula:
text
VWAP = Σ(Price × Volume) / Σ(Volume)
Where price can be customized (default is HLC3 - the average of high, low, and close).
2. Anchoring Methods
The indicator offers four ways to reset/start the VWAP calculation:
Session: Resets at the start of each new trading day (most common)
Lowest Low: Resets when a new 10-bar low occurs
Highest High: Resets when a new 10-bar high occurs
Fixed Length: Resets after a specified number of bars (default 20)
3. Deviation Bands
The indicator can show standard deviation bands around the VWAP:
Upper band = VWAP + (Standard Deviation × Multiplier)
Lower band = VWAP - (Standard Deviation × Multiplier)
4. Machine Learning Enhancements
Two optional ML methods can be applied to smooth the VWAP:
Simple Average: Uses an EMA (Exponential Moving Average) of the VWAP
KNN (K-Nearest Neighbors): A simplified implementation that looks at recent values to adjust the current VWAP
How It Works
Inputs: The user can configure all parameters including price source, anchoring method, band settings, and ML options.
Anchoring: The script first determines when to reset the VWAP calculation based on the selected anchoring method.
VWAP Calculation: Using the anchoring points, it calculates the cumulative price×volume and total volume to compute the VWAP and standard deviation bands.
ML Processing: If enabled, the raw VWAP value is smoothed using either a simple EMA or a KNN algorithm that looks at the most similar recent values.
Visualization: The final VWAP line is plotted along with optional deviation bands and colored fills between the bands and VWAP line.
Use Cases
Intraday Trading: When anchored to session, helps identify fair value during the trading day
Swing Trading: When using fixed length or high/low anchoring, can identify support/resistance
Trend Confirmation: Deviation bands help identify overbought/oversold conditions relative to volume-weighted price
The combination of traditional VWAP with machine learning smoothing makes this a unique tool that can potentially reduce noise while maintaining the volume-weighted price information that makes VWAP valuable.
A deviation band is a statistical tool that creates upper and lower boundaries around a central line (in this case, the VWAP) based on how much prices typically vary from that average.
How It Works
Standard Deviation Calculation
The indicator calculates how much prices deviate from the VWAP:
Measures the "spread" or volatility of prices around the VWAP
Uses the mathematical formula for standard deviation
Creates bands at a specific distance from the VWAP line
What Deviation Bands Tell You
Statistical Significance
~68% of price action typically stays within 1 standard deviation
~95% stays within 2 standard deviations
When price touches the bands, it's statistically "unusual"
Trading Signals
Price hits upper band: Potentially overbought, consider selling
Price hits lower band: Potentially oversold, consider buying
Price stays within bands: Normal price action
Price breaks outside bands: Strong momentum move
Dynamic Adjustment
High volatility periods: Bands automatically widen
Low volatility periods: Bands automatically narrow
Volume changes: Affects both VWAP and band calculations
Orange Line (Default)
What it is: The main VWAP line with machine learning enhancement
Purpose: This is the core signal line - the Volume Weighted Average Price that's been processed through your selected ML method (Simple Average, KNN, or None)
Blue Line (Default)
What it is: Upper deviation band
Purpose: Shows potential resistance level - when price reaches this band, it may indicate overbought conditions
Red Line (Default)
What it is: Lower deviation band
Purpose: Shows potential support level - when price reaches this band, it may indicate oversold conditions
LVN/HVN Auto Detection [PhenLabs]📊 PhenLabs - LVN/HVN Auto Detection
Version: PineScript™ v6
📌 Description
The PhenLabs LVN/HVN Auto Detection indicator is an advanced volume profile analysis tool that automatically identifies Low Volume Nodes (LVN) and High Volume Nodes (HVN) across multiple trading sessions. This sophisticated indicator analyzes volume distribution patterns to pinpoint critical support and resistance levels where price is likely to react, providing traders with high-probability zones for entries, exits, and risk management.
Unlike traditional volume indicators that only show current activity, this tool builds comprehensive volume profiles from historical sessions and intelligently filters the most significant levels. It combines real-time volume analysis with dynamic level detection, offering both visual bubbles for immediate volume activity and persistent horizontal lines that act as ongoing support/resistance references.
🚀 Points of Innovation
Multi-Session Volume Profile Analysis - Automatically calculates and analyzes volume profiles across the last 5 trading sessions
Intelligent Level Separation Logic - Prevents overlapping signals by maintaining minimum separation between LVN and HVN levels
Dynamic Timeframe Adaptation - Automatically adjusts session lengths based on chart timeframe for optimal level detection
Real-Time Activity Bubbles - Shows volume activity strength through different bubble sizes at key levels
Persistent Line Management - Creates horizontal lines that extend until price crosses them, providing ongoing reference points
Dual Threshold System - Independent percentage-based thresholds for both LVN and HVN identification
🔧 Core Components
Volume Profile Engine : Builds 20-row volume profiles for each analyzed session, distributing volume across price levels
Level Identification Algorithm : Uses percentage-based thresholds to classify volume distribution patterns
Separation Logic : Ensures minimum distance between conflicting levels, prioritizing HVN when overlap occurs
Line Management System : Tracks active support/resistance lines and removes them when price crosses through
Volume Activity Monitor : Compares current volume to 13-period moving average for activity classification
🔥 Key Features
Customizable Thresholds : LVN threshold (5-35%, default 20%) and HVN threshold (65-95%, default 80%) for precise level filtering
Volume Activity Multiplier : Adjustable volume threshold (0.5+, default 1.5) for bubble and line creation sensitivity
Flexible Display Modes : Choose between Lines only, Bubbles only, or Both for optimal chart clarity
Smart Level Separation : Minimum separation percentage (0.1-2%, default 0.5%) prevents conflicting signals
Color Customization : Independent color controls for LVN (red) and HVN (blue) elements
Performance Optimization : Processes every 15 bars with maximum 500 active lines for smooth operation
🎨 Visualization
Colored Bubbles : Three sizes (large, medium, small) indicate volume activity strength at key levels
Horizontal Lines : Persistent support/resistance lines with width corresponding to volume activity
Dual Color System : Semi-transparent red for LVN areas, semi-transparent blue for HVN zones
Information Tooltip : Optional table showing usage guidelines and optimization tips
📖 Usage Guidelines
Volume Thresholds
LVN Threshold
○ Default: 20.0%
○ Range: 5.0-35.0%
○ Description: Price levels with volume below this percentage are marked as LVNs. Lower values create fewer, more significant levels. Typical range 15-25% works for most instruments.
HVN Threshold
○ Default: 80.0%
○ Range: 65.0-95.0%
○ Description: Price levels with volume above this percentage are marked as HVNs. Higher values create fewer, stronger levels. Range 75-85% is optimal for most trading.
Display Controls
Volume Threshold
○ Default: 1.5
○ Range: 0.5+
○ Description: Multiplier for volume significance (High=2+threshold, Medium=1+threshold, Low=0+threshold). Higher values require more volume for signals.
✅ Best Use Cases
Swing Trading : Identify key levels for position entries and exits over multiple days
Scalping : Use bubbles for immediate volume activity confirmation at critical levels
Risk Management : Place stops beyond LVN levels where price moves quickly
Breakout Trading : Monitor HVN levels for potential breakout or rejection scenarios
Multi-Timeframe Analysis : Combine with higher timeframe levels for confluence
⚠️ Limitations
Timeframe Sensitivity : Lower timeframes may produce too many levels; higher timeframes recommended for cleaner signals
Volume Data Dependency : Accuracy depends on reliable volume data from your data provider
Historical Analysis : Uses past volume data which may not predict future price behavior
Performance Impact : High number of active lines may affect chart performance on slower devices
💡 What Makes This Unique
Automated Session Analysis : No manual drawing required - automatically analyzes multiple sessions
Intelligent Filtering : Advanced separation logic prevents overlapping and conflicting signals
Adaptive Processing : Adjusts to different timeframes automatically for optimal level detection
Dual Visualization System : Combines persistent lines with real-time activity indicators
🔬 How It Works
1. Volume Profile Construction :
Analyzes the last 5 trading sessions with dynamic session length based on timeframe
Divides each session’s price range into 20 equal levels for volume distribution analysis
2. Level Classification :
Calculates volume percentage at each price level relative to session maximum
Identifies LVN levels below threshold and HVN levels above threshold
3. Signal Generation :
Creates bubbles when volume activity exceeds thresholds at identified levels
Draws horizontal lines that persist until price crosses through them
💡 Note : For optimal results, increase your chart timeframe if you see too many levels. The indicator performs best on 15-minute and higher timeframes where volume patterns are more meaningful and less noisy.
Simple Multi-Timeframe Trends with RSI (Realtime)Simple Multi-Timeframe Trends with RSI Realtime Updates
Overview
The Simple Multi-Timeframe Trends with RSI Realtime Updates indicator is a comprehensive dashboard designed to give you an at-a-glance understanding of market trends across nine key timeframes, from one minute (M1) to one month (M).
It moves beyond simple moving average crossovers by calculating a sophisticated Trend Score for each timeframe. This score is then intelligently combined into a single, weighted Confluence Signal , which adapts to your personal trading style. With integrated RSI and divergence detection, SMTT provides a powerful, all-in-one tool to confirm your trade ideas and stay on the right side of the market.
Key Features
Automatic Trading Presets: The most powerful feature of the script. Simply select your trading style, and the indicator will automatically adjust all internal parameters for you:
Intraday: Uses shorter moving averages and higher sensitivity, focusing on lower timeframe alignment for quick moves.
Swing Trading: A balanced preset using medium-term moving averages, ideal for capturing trends that last several days or weeks.
Investment: Uses long-term moving averages and lower sensitivity, prioritizing the major trends on high timeframes.
Advanced Trend Scoring: The trend for each timeframe isn't just "up" or "down". The score is calculated based on a combination of:
Price vs. Moving Average: Is the price above or below the MA?
MA Slope: Is the trend accelerating or decelerating? A steep slope indicates a strong trend.
Price Momentum: How quickly has the price moved recently?
Volatility Adjustment: The score's quality is adjusted based on current market volatility (using ATR) to filter out choppy conditions.
Weighted Confluence Score: The script synthesizes the trend scores from all nine timeframes into a single, actionable signal. The weights are dynamically adjusted based on your selected Trading Style , ensuring the most relevant timeframes have the most impact on the final result.
Integrated RSI & Divergence: Each timeframe includes a smoothed RSI value to help you spot overbought/oversold conditions. It also flags potential bullish (price lower, RSI higher) and bearish (price higher, RSI lower) divergences, which can be early warnings of a trend reversal.
Clean & Customizable Dashboard: The entire analysis is presented in a clean, easy-to-read table on your chart. You can choose its position and optionally display the raw numerical scores for a deeper analysis.
How to Use It
1. Add to Chart: Apply the "Simple Multi-Timeframe Trends" indicator to your chart.
2. Select Your Style: This is the most important step. Go to the indicator settings and choose the Trading Style that best fits your strategy (Intraday, Swing Trading, or Investment). All calculations will instantly adapt.
3. Analyze the Dashboard:
Look at the Trend row to see the direction and strength of the trend on individual timeframes. Strong alignment (e.g., all green or all red) indicates a powerful, market-wide move.
Check the RSI row. Is the trend overextended (RSI > 60) or is there room to run? Look for the fuchsia color, which signals a divergence and warrants caution.
Focus on the Signal row. This is your summary. A "STRONG SIGNAL" with high alignment suggests a high-probability setup. A "NEUTRAL" or "Weak" signal suggests waiting for a better opportunity.
4. Confirm Your Trades: Use the SMTT dashboard as a confirmation tool. For example, if you are looking for a long entry, wait for the dashboard to show a "BULLISH" or "STRONG SIGNAL" to confirm that the broader market structure supports your trade.
Dashboard Legend
Trend Row
This row shows the trend direction and strength for each timeframe.
⬆⬆ (Dark Green): Ultra Bullish - Very strong, established uptrend.
⬆ (Green): Strong Bullish - Confident uptrend.
▲ (Light Green): Bullish - The beginning of an uptrend or a weak uptrend.
━ (Orange): Neutral - Sideways or consolidating market.
▼ (Light Red): Bearish - The beginning of a downtrend or a weak downtrend.
⬇ (Red): Strong Bearish - Confident downtrend.
⬇⬇ (Dark Red): Ultra Bearish - Very strong, established downtrend.
RSI Row
This row displays the smoothed RSI value and its condition.
Green Text: Oversold (RSI < 40). Potential for a bounce or reversal upwards.
Red Text: Overbought (RSI > 60). Potential for a pullback or reversal downwards.
Fuchsia (Pink) Text: Divergence Detected! A potential reversal is forming.
White Text: Neutral (RSI between 40 and 60).
Signal Row
This is the final, weighted confluence of all timeframes.
Label:
🚀 STRONG SIGNAL / 💥 STRONG SIGNAL: High confluence and strong momentum.
🟢 BULLISH / 🔴 BEARISH: Clear directional bias across relevant timeframes.
🟡 Weak + / 🟠 Weak -: Minor directional bias, suggests caution.
⚪ NEUTRAL: No clear directional trend; market is likely choppy or undecided.
Numerical Score: The raw weighted confluence score. The further from zero, the stronger the signal.
Alignment %: The percentage of timeframes (out of 9) that are showing a clear bullish or bearish trend. Higher percentages indicate a more unified market.
Smart Money Liquidity Zones ProThe Smart Money Liquidity Zones Pro indicator identifies and visualizes key liquidity areas in the market where institutional traders (smart money) are likely to have placed their stop-loss orders. These zones represent areas of high liquidity that often act as magnets for price, making them valuable reference points for trading decisions.
What the Indicator Does
Core Functionality
Swing Point Detection: The indicator identifies significant swing highs and lows using three different methods (Classic, Fractal, or Combined) to locate potential liquidity pools.
Liquidity Zone Creation: At each valid swing point, the indicator creates a horizontal zone representing an area where stop-loss orders are likely clustered.
Zone Clustering: When multiple swing points occur near the same price level, the indicator intelligently combines them into larger cluster zones, indicating stronger liquidity areas.
Volume Confirmation: The indicator can filter zones based on volume, showing only those swing points that occurred with significant trading volume.
Zone Break Detection: When price closes through a liquidity zone, the indicator marks it as "Liquidity Taken" and removes the zone from the chart.
Zone Types
Buy-Side Liquidity Zones (Green): Created at swing highs where short sellers' stop-losses are likely placed
Sell-Side Liquidity Zones (Red): Created at swing lows where long traders' stop-losses are likely placed
Trading Strategies
Basic Concepts
Liquidity Runs: Price often moves toward these zones to trigger stop-loss orders before reversing. This creates trading opportunities.
Support and Resistance: Unbroken liquidity zones can act as support (sell-side) or resistance (buy-side) levels.
Breakout Confirmation: When price breaks through a zone with strong momentum, it often continues in that direction.
Entry Strategies
Strategy 1: Liquidity Grab Reversa l
Wait for price to spike into a liquidity zone
Look for rejection candles (wicks) at the zone
Enter in the opposite direction after confirmation
Place stop-loss beyond the liquidity zone
Strategy 2: Zone Break Continuation
Wait for price to close decisively through a zone
Enter on the retest of the broken zone
Target the next liquidity zone in the direction of the break
Strategy 3: Zone Clustering Trade
Focus on areas with multiple overlapping zones (clusters)
These areas offer higher probability setups
Trade bounces from cluster zones with tighter risk management
Risk Management
Always use stop-losses beyond the liquidity zones
Consider the overall market context and trend
Zones on higher timeframes are generally more significant
Volume-confirmed zones have higher reliability
Settings Explanation
Swing Detection Settings
Swing Strength (Lookback Bars)
Determines how many bars to look back for swing point validation
Higher values find more significant swings but fewer zones
Recommended settings:
1m-5m charts: 3-5
15m-1h charts: 5-8
Daily charts: 5-10
Weekly charts: 3-5
Monthly charts: 2-3
Adaptive Swing Detection
Automatically adjusts swing detection based on available historical data
Prevents errors when there's limited chart history
Recommended to keep enabled
Minimum Bars for Swing
Sets the absolute minimum bars required for swing detection
Lower values allow detection in limited data conditions
Swing Detection Method
Classic: Strict price comparison for pure swing highs/lows
Fractal: Williams Fractal pattern (2 bars on each side)
Combined: Uses both methods for maximum zone detection
Auto-Adjust for Timeframe
Automatically optimizes settings based on chart timeframe
Prevents inappropriate settings on higher timeframes
Zone Settings
Max Number of Visible Zones
Limits the number of zones displayed to prevent chart clutter
Older zones are automatically removed
Max Zone Duration (Bars)
Zones older than this are automatically deleted
Keeps the chart focused on recent liquidity areas
Enable Zone Clustering
Groups nearby zones into larger clusters
Identifies stronger liquidity areas
Cluster Threshold (%)
Maximum price distance for zones to be clustered
Lower values create tighter clusters
Show Cluster Labels
Displays "Cluster x2", "Cluster x3" etc. on grouped zones
Volume Filter Settings
Enable Volume Filter
When enabled, only creates zones at high-volume swing points
Increases zone quality but reduces quantity
Volume Multiplier
Multiplier for average volume to determine "high volume"
Lower values (0.7-0.9) create more zones
Higher values (1.2+) create fewer, higher-quality zones
Volume SMA Period
Period for calculating average volume
Higher values create smoother volume baseline
Show Volume Confirmation Icon
Displays a fire emoji on volume-confirmed zones
Volume Visualization Settings
Show Volume Dots
Displays dots below high-volume bars
Dynamic Zone Colors
Volume-confirmed zones appear with more intense colors
Show Volume Background
Highlights the chart background on high-volume bars
Visual Settings
Buy-Side/Sell-Side Zone Colors
Customize colors for long and short liquidity zones
Border Width
Thickness of zone borders (1-3)
Show 'Liquidity Taken' Labels
Displays labels when zones are broken
Label Size
Size of the liquidity taken labels
Show Swing Point Markers
Displays triangles at detected swing points
Show Debug Info
Shows diagnostic information for troubleshooting
Dashboard Settings
Show Dashboard
Toggles the information panel display
Dashboard Position
Choose from 6 positions on the chart
Background Color
Dashboard background color
Text Color
Dashboard text color
Text Size
Dashboard text size (tiny/small/normal/large)
Tips for Effective Use
Start with default settings and adjust based on your trading style and timeframe
Use multiple timeframes to identify confluence between zones on different scales
Combine with other indicators like trend analysis or momentum oscillators
Pay attention to clusters as they represent stronger liquidity areas
Monitor volume-confirmed zones for higher probability setups
Adjust zone duration based on your trading timeframe (shorter for scalping, longer for swing trading)
Use the debug feature if zones aren't appearing to understand why
Keep the chart clean by limiting the number of visible zones
Common Issues and Solutions
No zones appearing:
Lower the Swing Strength setting
Switch to Combined detection method
Disable volume filter if active
Check if there's enough historical data
Too many zones:
Increase Swing Strength
Enable volume filter
Reduce Max Number of Visible Zones
Increase Cluster Threshold
Zones disappearing too quickly:
Increase Max Zone Duration
Check if zones are being broken by price
Poor performance on higher timeframes:
Enable Auto-Adjust for Timeframe
Use appropriate Swing Strength for the timeframe
Consider using Classic method instead of Fractal
CM RSI-Stoch Hybrid D&K%CM RSI-Stoch Hybrid D&K% Indicator
The CM RSI-Stoch Hybrid D&K% Indicator is a sophisticated momentum and trend analysis tool that combines the Relative Strength Index (RSI), Stochastic %K, and %D into a single, cohesive signal, enhanced by dynamic volume weighting and customizable smoothing. Unlike standalone RSI or Stochastic indicators, this hybrid approach integrates multiple data points to reduce noise, filter false signals, and provide traders with a clearer, more actionable view of market dynamics. Designed for versatility, it’s suitable for day trading, swing trading, or long-term investing across stocks, forex, cryptocurrencies, and commodities.
Why This Indicator Is Unique
Traditional RSI measures momentum based on price changes, while Stochastic tracks price cycles relative to highs and lows. However, both can generate conflicting or noisy signals in volatile markets. The CM RSI-Stoch Hybrid D&K% addresses this by:
Merging Complementary Signals: It calculates a composite signal by averaging RSI, Stochastic %K, and %D, balancing momentum and cyclical insights to produce a smoother, more reliable indicator.
Volume-Weighted Context: A dynamic colour system adjusts the composite signal’s appearance based on volume surges, helping traders prioritize moves backed by strong market participation.
Customizable Smoothing: A user-defined moving average (SMA, EMA, or WMA) smooths the composite signal, allowing traders to adapt the indicator to their preferred timeframe or strategy. This unique combination reduces the lag and false positives common in individual indicators, offering a novel perspective on market momentum and reversals.
How It Works
The indicator operates through a multi-layered approach:
Composite Signal Calculation: The core feature is a composite line derived by averaging RSI (based on closing prices), Stochastic %K, and %D (calculated from price highs and lows). This fusion creates a balanced momentum signal that mitigates the limitations of each indicator, such as RSI’s sensitivity to price spikes or Stochastic’s tendency to oscillate in choppy markets.
Volume-Weighted Colouring: The composite line changes colour (navy for high volume, blue for normal) based on a comparison of current trading volume to a user-defined volume moving average. This highlights when momentum aligns with significant market activity, improving trade timing.
Customizable Moving Average: Traders can apply an SMA, EMA, or WMA to the composite signal, adjusting its sensitivity to suit scalping, swing trading, or trend-following strategies.
Overbought/Oversold Zones: User-defined thresholds for overbought and oversold conditions (based on RSI) are visually marked with semi-transparent red (overbought) and green (oversold) backgrounds, making it easy to spot potential reversals or continuation patterns.
Key Features
Hybrid Momentum Signal: Combines RSI, Stochastic %K, and %D into a single, noise-filtered line for enhanced clarity.
Volume-Driven Insights: Dynamically adjusts the composite line’s colour to reflect high-volume conditions, emphasizing significant market moves.
Flexible Smoothing: Choose from SMA, EMA, or WMA to tailor the indicator to your trading style.
Customizable Parameters: Adjust RSI length, Stochastic periods, volume MA length, and overbought/oversold thresholds to match any market or timeframe.
Clear Visuals: Displays RSI, Stochastic %K, %D, composite signal, and moving average in a single panel, with intuitive overbought/oversold zones.
How to Use It
Trend Confirmation: Monitor the composite signal relative to its moving average. A composite line above its MA suggests bullish momentum, while a line below indicates bearish momentum.
Reversal Opportunities: Use the overbought (red background) and oversold (green background) zones to identify potential reversals, especially when confirmed by high-volume signals (navy composite line).
Scalping and Swing Trading: Adjust RSI and Stochastic lengths for faster or slower signals, using the moving average to filter noise for precise entries and exits.
Cross-Market Application: Customize settings to suit the volatility of stocks, forex, crypto, or commodities, ensuring versatility across timeframes.
Hint - watch for the back ground to change colour to reflect oversold or overbought conditions and then watch for the composite signal line to cross the moving average and for the back ground colour to go. High volume (navy blue) would also then add to directional bias.
Why Traders Will Benefit
The CM RSI-Stoch Hybrid D&K% goes beyond traditional indicators by integrating RSI, Stochastic, and volume analysis into a unified system that reduces false signals and enhances decision-making. Its dynamic volume weighting and customizable options make it a powerful tool for traders seeking to navigate complex markets with confidence. Whether you’re scalping intraday moves or tracking long-term trends, this indicator provides a clear, actionable edge.
Note: Combine this indicator with proper risk management and complementary analysis tools. Past performance is not indicative of future results.
Full setup support will be given
ADR et %+Vol (ADR ou %)This indicator identifies breakout bars based on significant price movements combined with increased trading volume. It allows you to define breakout thresholds in two ways:
Key Features:
Threshold Method: Choose between:
Fixed Percentage (%): Specify an exact percentage move.
ADR-based (%): Utilize the Average Daily Range (ADR) multiplied by a factor of your choice.
ADR Calculation: Offers two distinct calculation methods to suit your trading style:
True Range (TR): Incorporates overnight gaps, making it ideal for swing trading.
High-Low (H-L): Purely intraday measure, suitable for day trading without gap consideration.
Timeframe Flexibility:
Select the desired timeframe for ADR calculation (e.g., Daily, Weekly, Hourly), providing flexibility to match your specific trading horizon.
Visual Signals:
Blue Bar Coloring: Highlights breakout candles clearly.
Blue Circle Markers: Signals bars with significant price movement accompanied by strong volume.
Information Display:
Shows the ADR percentage, selected timeframe, and calculation method directly on the chart (top-right), providing instant clarity about the current settings.
Usage Recommendations:
Use True Range ADR if you hold positions overnight or trade multi-day swings.
Opt for High-Low ADR if you're trading purely intraday and prefer simpler measures.
This versatile indicator is suited for both swing and intraday traders looking for reliable volatility measures combined with volume confirmation.
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands
Overview
MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities.
Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe.
Features
Core Component: Built around RSI MA, not raw RSI, for smoother trend signals.
Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H).
Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals.
Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes.
Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation.
Screenshot Panels Configuration
Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands).
Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment.
Band Calculation Methods
The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics:
Fixed Bands
Set at a fixed point value (default: 10) above and below RSI MA.
Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40.
Use Case: Best for stable markets or fixed-range preferences.
Tip: Adjust the band value to widen or narrow the range based on asset volatility.
Percent Bands
Calculated as a percentage of RSI MA (default: 10%).
Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45.
Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA.
Tip: Experiment with percentage values to match typical price swings.
Standard Deviation Bands (StdDev)
Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10).
Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40.
Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands.
Use Case: Best for dynamic markets with fluctuating volatility.
Configuration Options
RSI Length: Set RSI calculation period (default: 20).
MA Length: Set RSI MA period (default: 20).
MA Type: Choose SMA or EMA for RSI MA (default: EMA).
Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis.
Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30).
Background Coloring: Enable/disable for each timeframe to highlight directional alignment.
How to Use
Add Indicator: Load it onto your TradingView chart.
Setup:
Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands.
Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring.
Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy.
Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands.
Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term.
Notes
Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust.
StdDev Bands: Lower the default value (10) to avoid overly wide bands.
Versatility: Works across markets (stocks, forex, crypto).
