Trade PullBack - EMA Pullback System with Auto Risk-Reward# Trade Pull Back - Professional Pullback Trading System
## 📊 Overview
**Trade Pull Back** is a comprehensive pullback trading system that combines trend-following principles with precise entry timing using candlestick pattern confirmation. This indicator is designed for traders who want to enter trending markets at optimal retracement levels with pre-calculated risk-reward ratios.
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## 🎯 Core Methodology
### Why This System Works
Most traders struggle with two key challenges:
1. **Entering too early** - jumping into trades before the pullback completes
2. **Entering too late** - missing the momentum after the pullback reverses
This system solves both problems by using a **3-Phase Confirmation Process**:
**Phase 1: Trend Identification** → **Phase 2: Pullback Detection** → **Phase 3: Reversal Confirmation**
---
## 🔧 How It Works
### 1. Triple EMA Framework (The Foundation)
Unlike traditional single EMA systems, this indicator uses **3 separate EMAs** with different purposes:
- **EMA Trend (default: 50)** - Determines the overall market direction
- Source: HL/2 for balanced trend reading
- Acts as the primary filter - we only trade in its direction
- **EMA High (default: 20)** - Dynamic resistance in uptrends
- Source: High prices for accurate resistance mapping
- Entry trigger for bullish setups when price closes above it
- **EMA Low (default: 20)** - Dynamic support in downtrends
- Source: Low prices for accurate support mapping
- Entry trigger for bearish setups when price closes below it
**Why 3 EMAs?**
- Single EMA can't distinguish between trend and pullback zones
- Two EMAs (like MACD) don't provide clear entry/exit levels
- Three EMAs create a **channel system** that identifies both trend direction AND optimal entry zones
### 2. Pattern Recognition Engine
The system detects two high-probability reversal patterns:
#### Engulfing Patterns
- **Bullish Engulfing**: Previous bearish candle completely engulfed by bullish candle
- **Bearish Engulfing**: Previous bullish candle completely engulfed by bearish candle
- Validates: Strong momentum reversal with volume confirmation
#### Pin Bar Patterns
- **Bullish Pin Bar (Hammer)**: Long lower wick (60%+ of total range) rejecting lower prices
- **Bearish Pin Bar (Inverted Hammer)**: Long upper wick (60%+ of total range) rejecting higher prices
- Validates: Institutional rejection at support/resistance levels
**Pattern Quality Filter:**
- Body-to-wick ratio must meet minimum standards
- Checks previous candle momentum
- Requires trend alignment before signaling
### 3. Pullback Confirmation System
The system includes **5 mandatory conditions** before generating a signal:
#### For Bullish Signals (BUY):
1. ✅ Close > EMA Trend (uptrend confirmed)
2. ✅ EMA High > EMA Trend AND EMA Low > EMA Trend (healthy trend structure)
3. ✅ Bullish Engulfing OR Bullish Pin Bar (pattern detected)
4. ✅ Close > EMA High (breakout confirmation)
5. ✅ Optional: Low < EMA High (pullback occurred)
#### For Bearish Signals (SELL):
1. ✅ Close < EMA Trend (downtrend confirmed)
2. ✅ EMA High < EMA Trend AND EMA Low < EMA Trend (healthy trend structure)
3. ✅ Bearish Engulfing OR Bearish Pin Bar (pattern detected)
4. ✅ Close < EMA Low (breakdown confirmation)
5. ✅ Optional: High > EMA Low (pullback occurred)
**Additional Filters:**
- **Consecutive Bars Check**: Ensures pullback had momentum (1-5 bearish/bullish bars)
- **Signal Spacing**: Minimum 4 bars between signals to avoid noise
- **Confirmation Delay**: Signal appears only AFTER bar closes (no repainting)
---
## 💰 Automatic Risk-Reward Calculator
### Smart Position Sizing
When a signal triggers, the system automatically calculates:
**For Long Positions:**
- **Entry**: High of signal candle
- **Stop Loss**: Lower of last 2 candle lows (protects against false breakouts)
- **Target 1 (1R)**: Entry + 1x Risk
- **Target 2 (2R)**: Entry + 2x Risk
- **Target 3 (3R)**: Entry + 3x Risk
**For Short Positions:**
- **Entry**: Low of signal candle
- **Stop Loss**: Higher of last 2 candle highs
- **Targets**: Calculated based on risk multiple
### Auto-Remove Feature
Lines and labels automatically disappear when:
- Price hits Stop Loss (trade invalidated)
- Price reaches 3R target (trade complete)
This keeps your chart clean and focuses only on active trades.
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## 📈 Multi-Timeframe Trend Analysis
### Confluence Trading
The built-in MTF trend box shows trend status across 7 timeframes simultaneously:
- M1, M5, M15, M30, H1, H4, D1
**Color Coding:**
- 🟢 **Green**: Uptrend (Price > EMA Trend AND EMAs aligned bullish)
- 🔴 **Red**: Downtrend (Price < EMA Trend AND EMAs aligned bearish)
- ⚪ **Gray**: No clear trend
**Why This Matters:**
- Trade with higher timeframe trends for better win rate
- Avoid counter-trend trades when all timeframes show same direction
- Identify divergences between timeframes for reversal opportunities
---
## 🎨 Customization Options
### EMA Settings
- Adjust periods for different trading styles (scalping vs swing trading)
- Choose price sources (HL/2, Close, HLC/3) for sensitivity tuning
### Pattern Selection
- Enable/disable Engulfing patterns
- Enable/disable Pin Bar patterns
- Trade only your preferred pattern type
### Signal Filters
- **Require Pullback**: Force pullback condition (stricter entries)
- **Consecutive Bars**: Set momentum requirement (1-5 bars)
### Display Options
- Show/hide EMA lines
- Show/hide signals
- Enable/disable alerts
- Customize Risk-Reward line styles and extensions
---
## 📋 How to Use This Indicator
### Step 1: Identify the Trend
- Wait for price to establish clear direction relative to EMA Trend (50)
- Check MTF box to confirm higher timeframe alignment
### Step 2: Wait for Pullback
- In uptrend: Watch for price to pull back toward EMA High
- In downtrend: Watch for price to pull back toward EMA Low
### Step 3: Pattern Confirmation
- Look for Engulfing or Pin Bar pattern (triangle/diamond markers)
- Ensure pattern forms at or near the EMA High/Low zone
### Step 4: Entry & Risk Management
- Enter when signal appears (after bar closes)
- Use displayed Stop Loss and Take Profit levels
- Consider partial profits at 1R and 2R, let remainder run to 3R
### Step 5: Trade Management
- If price hits SL, lines disappear automatically (trade invalidated)
- If price reaches 3R, lines disappear (trade complete)
- Consider trailing stop after 1R is reached
---
## ⚙️ Recommended Settings
### For Scalping (M1-M5)
- EMA Trend: 20-30
- EMA High/Low: 10-15
- Require Pullback: OFF
- Consecutive Bars: 1
### For Day Trading (M15-H1)
- EMA Trend: 50 (default)
- EMA High/Low: 20 (default)
- Require Pullback: ON
- Consecutive Bars: 2-3
### For Swing Trading (H4-D1)
- EMA Trend: 100-200
- EMA High/Low: 50
- Require Pullback: ON
- Consecutive Bars: 3-5
---
## ✅ What Makes This Script Original
### 1. Systematic Approach
This isn't just a collection of indicators. It's a **complete trading system** with:
- Defined entry rules (5-point confirmation checklist)
- Automatic risk management (SL/TP calculation)
- Trade validation (consecutive bars, signal spacing)
### 2. Smart EMA Framework
The 3-EMA system creates a **dynamic channel** that adapts to market conditions:
- Trend EMA = Direction filter
- High/Low EMAs = Entry/Exit zones
- Together they form a "trade zone" that standard EMAs can't provide
### 3. Pattern Quality Control
Not all Engulfing or Pin Bar patterns are equal. This system:
- Validates body-to-wick ratios
- Checks previous candle momentum
- Requires trend alignment before signaling
### 4. Auto Risk-Reward Management
Most indicators just show signals. This one:
- Calculates exact entry prices
- Places stop loss at optimal location (lower of 2 lows)
- Projects 3 profit targets based on risk
- Auto-removes when trade is complete/invalidated
### 5. No Repainting
- All signals appear AFTER bar closes
- No future data leaking
- What you see in backtest = what you get in real-time
---
## 🚨 Alerts
Built-in alerts notify you when:
- Bullish signal confirmed
- Bearish signal confirmed
Alerts fire once per bar (no spam) and only after bar closes (no false alerts).
---
## 📊 Best Practices
### ✅ DO:
- Trade in direction of higher timeframe trends
- Wait for full confirmation (all 5 conditions met)
- Use proper position sizing (1-2% risk per trade)
- Let winners run to at least 2R
### ❌ DON'T:
- Trade against major trend on MTF box
- Enter before signal bar closes
- Ignore the Stop Loss level
- Overtrade - respect the 4-bar minimum spacing
---
## 🔍 Limitations
This indicator is a **tool**, not a crystal ball:
- No indicator wins 100% of the time
- False signals occur in choppy/ranging markets
- Best results in trending conditions
- Requires proper risk management
- Should be combined with fundamental analysis and market context
---
## 📚 Educational Value
This script teaches:
- How to combine trend following with mean reversion
- Pattern recognition and validation
- Risk-reward ratio calculation
- Multi-timeframe analysis
- Proper trade entry timing
---
## 🎓 Credits & Disclaimer
**Original Work**: All code written from scratch
**Methodology**: Based on classical technical analysis principles (EMA crossovers, candlestick patterns, support/resistance)
**Disclaimer**: This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management.
---
## 📞 Support
If you find this indicator helpful:
- Leave a review
- Share with fellow traders
- Provide feedback for improvements
**Note**: This is a closed-source script to protect the proprietary signal logic and filtering algorithms. The description above provides comprehensive understanding of the methodology without revealing exact implementation details.
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**Version**: 1.0
**Pine Script Version**: 5
**Type**: Indicator (Overlay)
**Category**: Trend Following + Pattern Recognition
---
*Happy Trading! 🚀*
# 🇹🇭 คู่มือภาษาไทย / Thai Guide
# Trade Pull Back - คู่มือภาษาไทย
## 📊 ภาพรวม
**Trade Pull Back** เป็นระบบเทรด Pullback ที่ผสมผสานการเทรดตามเทรนด์กับการจับจังหวะเข้าออเดอร์ด้วย Candlestick Pattern พร้อมคำนวณ Risk-Reward อัตโนมัติ
---
## 🎯 หลักการทำงาน
### ทำไมระบบนี้ได้ผล?
แก้ปัญหา 2 ข้อหลักของเทรดเดอร์:
1. **เข้าเร็วเกินไป** - เข้าก่อน Pullback เสร็จ
2. **เข้าช้าเกินไป** - พลาดโมเมนตัมหลังกลับตัว
**วิธีแก้**: ใช้กระบวนการยืนยัน 3 ขั้นตอน
- **ขั้น 1**: ระบุเทรนด์ → **ขั้น 2**: ตรวจจับ Pullback → **ขั้น 3**: ยืนยันการกลับตัว
---
## 🔧 ส่วนประกอบหลัก
### 1. ระบบ EMA 3 เส้น
ต่างจาก EMA ทั่วไป ระบบนี้ใช้ 3 เส้นที่มีหน้าที่แยกกัน:
- **EMA Trend (50)** - กำหนดทิศทางเทรนด์หลัก
- **EMA High (20)** - แนวต้านไดนามิก (สำหรับ Buy)
- **EMA Low (20)** - แนวรับไดนามิก (สำหรับ Sell)
**ทำไมต้อง 3 เส้น?**
- 1 เส้น = แยกเทรนด์กับ Pullback ไม่ได้
- 2 เส้น = ไม่มีจุด Entry/Exit ชัดเจน
- 3 เส้น = สร้าง Channel ที่บอกทั้งเทรนด์และโซนเข้าออเดอร์
### 2. ตรวจจับ Pattern
ระบบตรวจจับ 2 Pattern หลัก:
**Engulfing (แท่งกลืน)**
- Bullish: แท่งเขียวกลืนแท่งแดงทั้งหมด
- Bearish: แท่งแดงกลืนแท่งเขียวทั้งหมด
**Pin Bar (แท่งหาง)**
- Bullish: หางล่างยาว 60%+ ของช่วงทั้งหมด
- Bearish: หางบนยาว 60%+ ของช่วงทั้งหมด
### 3. เงื่อนไขยืนยันสัญญาณ (5 ข้อ)
**สัญญาณ Buy:**
1. ✅ ราคาปิด > EMA Trend (เทรนด์ขาขึ้น)
2. ✅ EMA High และ Low เหนือ EMA Trend (โครงสร้างดี)
3. ✅ เกิด Bullish Engulfing หรือ Pin Bar
4. ✅ ราคาปิด > EMA High (ยืนยัน Breakout)
5. ✅ ตัวเลือก: มี Pullback มาแตะ EMA High
**สัญญาณ Sell:**
1. ✅ ราคาปิด < EMA Trend (เทรนด์ขาลง)
2. ✅ EMA High และ Low ใต้ EMA Trend (โครงสร้างดี)
3. ✅ เกิด Bearish Engulfing หรือ Pin Bar
4. ✅ ราคาปิด < EMA Low (ยืนยัน Breakdown)
5. ✅ ตัวเลือก: มี Pullback มาแตะ EMA Low
**ตัวกรองเพิ่มเติม:**
- ต้องมีแท่งติดกัน 1-5 แท่ง (กำหนดได้)
- ห่างสัญญาณก่อนหน้าอย่างน้อย 4 แท่ง
- สัญญาณปรากฏหลังแท่งปิดเท่านั้น (ไม่ Repaint)
---
## 💰 คำนวณ Risk-Reward อัตโนมัติ
เมื่อสัญญาณเกิด ระบบคำนวณให้อัตโนมัติ:
**Long Position:**
- Entry = High ของแท่งสัญญาณ
- Stop Loss = Low ที่ต่ำกว่าของ 2 แท่งล่าสุด
- Target = 1R, 2R, 3R
**Short Position:**
- Entry = Low ของแท่งสัญญาณ
- Stop Loss = High ที่สูงกว่าของ 2 แท่งล่าสุด
- Target = 1R, 2R, 3R
**ลบอัตโนมัติ:** เส้นหายเมื่อราคาชน SL หรือถึง 3R
---
## 📈 กล่องเทรนด์หลาย Timeframe
แสดงเทรนด์พร้อมกัน 7 Timeframe:
- M1, M5, M15, M30, H1, H4, D1
**สีแสดงผล:**
- 🟢 เขียว = Uptrend
- 🔴 แดง = Downtrend
- ⚪ เทา = ไม่มีเทรนด์
**ประโยชน์:** เทรดตาม Timeframe ใหญ่เพื่อเพิ่ม Win Rate
---
## 📋 วิธีใช้งาน (5 ขั้นตอน)
1. **ระบุเทรนด์** - เช็คราคาเทียบกับ EMA Trend และกล่อง MTF
2. **รอ Pullback** - เฝ้าราคา Pullback มาที่ EMA High/Low
3. **เช็ค Pattern** - มองหาลูกศรสามเหลี่ยม (Engulfing) หรือเพชร (Pin Bar)
4. **เข้าออเดอร์** - เข้าเมื่อสัญญาณปรากฏ ใช้ SL/TP ที่แสดง
5. **จัดการเทรด** - เส้นจะหายเองเมื่อชน SL หรือถึง 3R
---
## ⚙️ การตั้งค่าแนะนำ
**Scalping (M1-M5)**
- EMA Trend: 20-30
- EMA High/Low: 10-15
- Require Pullback: ปิด
**Day Trading (M15-H1)**
- EMA Trend: 50 (ค่าเริ่มต้น)
- EMA High/Low: 20 (ค่าเริ่มต้น)
- Require Pullback: เปิด
**Swing Trading (H4-D1)**
- EMA Trend: 100-200
- EMA High/Low: 50
- Require Pullback: เปิด
---
## ✅ จุดเด่นที่แตกต่าง
1. **เป็นระบบสมบูรณ์** - ไม่ใช่แค่รวม Indicator
2. **EMA 3 เส้นสร้าง Channel** - บอกทั้งเทรนด์และโซนเข้า
3. **ตรวจสอบคุณภาพ Pattern** - ไม่ใช่ทุก Pattern ที่ให้สัญญาณ
4. **คำนวณ RR อัตโนมัติ** - วาง SL/TP ให้เลย
5. **ไม่ Repaint** - สัญญาณปรากฏหลังแท่งปิดเท่านั้น
---
## 📊 ควรทำ / ไม่ควรทำ
### ✅ ควรทำ:
- เทรดตามเทรนด์ Timeframe ใหญ่
- รอยืนยันครบ 5 เงื่อนไข
- เสี่ยง 1-2% ต่อเทรด
- ปล่อยกำไรไปอย่างน้อย 2R
### ❌ ไม่ควรทำ:
- เทรดทวนเทรนด์ในกล่อง MTF
- เข้าก่อนแท่งปิด
- ละเลย Stop Loss
- เทรดบ่อยเกินไป
---
## 🔍 ข้อจำกัด
- ไม่มี Indicator ไหนชนะ 100%
- สัญญาณผิดพลาดเกิดในตลาด Sideways
- ผลดีสุดในตลาดที่มีเทรนด์ชัด
- ต้องใช้ Money Management
- ควรดูปัจจัยพื้นฐานประกอบ
---
## 🎓 คำเตือน
**Disclaimer**: อินดิเคเตอร์นี้สำหรับการศึกษา ผลในอดีตไม่รับประกันอนาคต ใช้ Risk Management ที่เหมาะสมเสมอ
---
**เวอร์ชั่น**: 1.0
**Pine Script**: v5
**ประเภท**: Indicator (Overlay)
*Happy Trading! 🚀*
## Screenshots
**Bearish Signals with Risk-Reward:**
! (drive.google.com)
**Bullish Signal with Risk-Reward:**
! (drive.google.com)
**Multi-Timeframe Trend Box:**
! (drive.google.com)
**Settings Panel:**
! (drive.google.com)
ابحث في النصوص البرمجية عن "bear"
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization
Summary
BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips.
Motivation: Why this design?
Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked.
What’s different vs. standard approaches?
Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers.
Architecture differences:
Four fixed RSI lengths with strict ordering and a spacing tolerance.
Optional requirement that all RSI values stay above or below the midline for bull or bear regimes.
Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate.
Dispersion measurement across the four RSIs with a percent-rank diagnostic.
Gradient coloring of candles and wicks driven by stack magnitude.
A last-bar statistics table with counts, wins, win rate, dispersion, and priors.
Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon.
How it works (technical)
The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline.
For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small.
Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane.
Parameter Guide
Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior.
Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback.
Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries.
Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution.
Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly.
Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples.
Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on.
Show consensus RSI — Weighted combination of the four RSIs. Default: on.
Show OB/OS zones — Draw overbought, oversold, and midline. Default: on.
Background regime — Pane background tint during bull or bear stacks. Default: on.
Overlay regime markers — Entry markers on price when a stack forms. Default: on.
Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on.
Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals.
Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost.
Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more.
Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones.
Gradient and wick transparency — Visual opacity controls. Defaults: zero.
Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs.
Fallback neutral candles — Directional coloring when gradients are off. Default: off.
Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three.
Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty.
Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small.
Reading & Interpretation
RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment.
Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference.
Zones: Overbought, oversold, and midline provide context rather than standalone triggers.
Background tint: Indicates active bull or bear stack.
Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms.
Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment.
Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering.
Practical Workflows & Combinations
Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes.
Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal.
Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data.
Behavior, Constraints & Performance
Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future.
HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design.
Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead.
Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period.
Sensible Defaults & Quick Tuning
Start with the shipped defaults.
Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period.
Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates.
Sparse samples: Extend the rolling window or increase priors to stabilize P(win).
Visual overload: Disable gradient squares or wick coloring, or raise transparency.
What this indicator is—and isn’t
This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process.
Metadata
- Pine version: v6
- Overlay: false (price overlays are drawn via forced overlay where applicable)
- Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table
- Inputs with defaults: See Parameter Guide
- Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts
- Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping
- Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls
- Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context
- Compatibility: Works across assets and timeframes that support RSI
- Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy
- Diagnostics: Statistics table, dispersion percent rank, gradient intensity
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
VMS Momentum Trend Matrix Indicator [09.15 to 15.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:15 AM to 3:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. 6-EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-10:00 AM: Early session momentum established
• 11:00-11:30 AM: Mid-session confirmation
• 1:30-2:00 PM: Afternoon momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-1:00 PM: Low liquidity period
• After 3:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
Data Panel## 📊 Enhanced Data Panel
This indicator provides an all-in-one data panel directly on your chart, giving you a quick, at-a-glance summary of a stock's real-time behavior. It's designed to help traders instantly assess volatility, volume, and momentum without needing multiple separate indicators.
Key Features & Metrics Explained
Fully Customizable: Nearly every metric can be toggled on or off in the settings, allowing you to build a panel that shows only what's important to you. You can also customize colors, text size, and table position.
ADR (Average Daily Range): Shows the stock's average price movement per day. A high ADR % suggests higher volatility.
ATR (Average True Range): A popular metric to measure market volatility, taking into account price gaps.
Volume Analysis: Displays today's cumulative volume and compares it to the 20, 50, and 100-day average volumes, letting you know instantly if trading is heavier or lighter than usual.
Volume Value (Turnover): Calculates the total monetary value of the shares traded for the day, showing the conviction behind the volume.
Gap %: Shows the percentage gap between the previous day's close and the current day's open, highlighting morning catalysts.
Icon Guide 💡
The panel uses icons to provide a quick visual summary. You can change their position or hide them in the settings.
Volume & Value Icons
🔥 Extreme Volume: Volume is far above its average.
📊 High Volume: Volume is significantly higher than average.
✅ Above Average: Volume is higher than its 20-day average.
💤 Low Volume: Volume is below average.
Volatility Icons (for ADR & ATR)
⚠️ Extreme Volatility: The stock is moving much more than usual.
⚡ High Volatility: Volatility is elevated.
📈 Normal Volatility: The stock is moving within its typical range.
😴 Low Volatility: The stock is unusually quiet.
Trend & Momentum Icons
🚀 Strong Bullish: Price is up significantly for the day.
📈 Bullish: Price is up moderately.
➡️ Neutral: Price is flat or sideways.
📉 Bearish: Price is down moderately.
💥 Strong Bearish: Price is down significantly for the day.
Alert Badges (in Header)
Special icons appear in the header to flag unique market conditions:
🔥⚠️ Explosive Condition: Extreme volume is occurring alongside high volatility.
🔒 Squeeze Condition: Volatility and volume are both very low, suggesting a potential for a large move.
KDJ Divergence Indicator(Regular & Hidden)📌 中文介绍
KDJ 背离指标（副图版，支持 Regular & Hidden）
这是一个基于 KDJ 指标 的背离检测工具，可以在副图中直观显示 Regular 背离（顶背离/底背离） 和 Hidden 背离（隐藏顶/隐藏底）。
功能特点：
可选计算基线：支持以 J 值 或 K 值 作为背离判定依据。
多种背离类型：
Regular Bullish（底背离）：价格创新低，但指标不创新低 → 可能反弹。
Regular Bearish（顶背离）：价格创新高，但指标不创新高 → 可能回落。
Hidden Bullish（隐藏底背离）：价格不创新低，但指标创新低 → 可能延续上涨。
Hidden Bearish（隐藏顶背离）：价格不创新高，但指标创新高 → 可能延续下跌。
连线显示：在副图用线条连接前后两个背离点，帮助更直观地发现趋势变化。
自定义选项：
可选择是否显示 Regular / Hidden 背离。
可调整回溯范围（左侧/右侧/最大最小）。
可自定义颜色和信号样式。
报警提醒：背离出现时会触发报警。
适合：
波段交易者寻找趋势反转。
短线交易者捕捉关键拐点。
技术分析结合 KDJ 的交易策略。
📌 English Introduction
KDJ Divergence Indicator (Sub-Chart, Regular & Hidden Supported)
This is a KDJ-based divergence detection tool, plotted in a sub-window, that highlights Regular Divergences (Bullish/Bearish) and Hidden Divergences (Hidden Bullish/Hidden Bearish).
Key Features:
Selectable Oscillator Line: Choose between J or K line as the basis for divergence detection.
Divergence Types:
Regular Bullish: Price makes a lower low, but oscillator makes a higher low → potential rebound.
Regular Bearish: Price makes a higher high, but oscillator makes a lower high → potential drop.
Hidden Bullish: Price holds higher low, but oscillator makes a lower low → potential trend continuation upward.
Hidden Bearish: Price holds lower high, but oscillator makes a higher high → potential trend continuation downward.
Line Connections: Draws connecting lines between divergence points for better visual clarity.
Customizable Settings:
Enable/disable Regular & Hidden divergences.
Adjustable left/right lookback and range filters.
Custom colors and shapes for signals.
Alert Ready: Alerts trigger when divergences are detected.
Best for:
Swing traders spotting trend reversals.
Short-term traders catching turning points.
Technical analysts using KDJ-based strategies.
Long-short energy ratio /多空能量比值This indicator calculates the relative strength of bulls and bears by measuring the average candle body movement within a user-defined window (default: 50 bars).
Bull Energy = average percentage change of all bullish candles in the lookback period
Bear Energy = average percentage change of all bearish candles in the lookback period
Energy Ratio = Bull Energy ÷ Bear Energy
The ratio is plotted as a curve around the baseline of 1:
Ratio > 1 → Bull side shows stronger momentum
Ratio < 1 → Bear side shows stronger momentum
Ratio ≈ 1 → Balanced market conditions
This tool helps visualize short-term shifts in buying and selling pressure, offering a simple mean-reversion perspective or a confirmation of trend strength depending on the context.
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Price Action Trader [BackQuant]Price Action Trader
Introduction
Price Action Trader is an all-in-one, chart-side workflow for reading trend, timing impulses, and mapping high-probability zones the way discretionary traders actually trade. It blends an ensemble trend engine with clean price-action building blocks—Market Structure (BOS/MSB), Fair Value Gaps, Order Blocks, and Volumetric Support/Resistance—so you can form a bias, find confluence, and execute with context.
What is it
A modular “price-action stack” that:
Paints trend bias and impulse shifts on the chart (optional candle coloring).
Auto-annotates internal & swing structure (BOS / MSB).
Finds FVGs on your chosen timeframe and draws them cleanly.
Detects Order Blocks (with optional FVG confirmation).
Builds volumetric S/R levels that adapt to liquidity.
Emits alerts for key events (new levels, touches, breaks, OB creation/touch).
Everything is configurable—keep it minimal (trend + a few zones) or run the full toolkit.
What’s it used for
Bias first, trade second: establish direction/conviction, then execute where structure, gaps, blocks, and volume agree.
Timing: impulse flips and level touches provide actionable triggers.
Risk placement: OB edges, FVG midlines, and volumetric bands give logical stop/target references.
Review & journaling: optional session shading and labeled structures make post-trade notes simple.
Composite Trend Model
A lightweight signal line (default: 30-period) that turns green when the composite regime is bullish and red when bearish. Under the hood, multiple cues (adaptive momentum, de-noised oscillation, volatility-aware filters) are blended into a single directional score; when thresholds flip, the line recolors and optional Long/Short dots appear.
How to use
Treat the line as your bias rail : favor longs while green, shorts while red.
Flat/rapid flips = stand down or reduce size.
Prefer clean charts? Keep only the line and (optionally) trend-painted candles.
Inputs to know
Show Trend Signal Line / Width.
Paint Candles by Trend.
Long/Bearish color controls.
Impulse Model
Highlights short-term pressure shifts with optional impulse candle coloring and ▲/▼ markers. Great for entries in the prevailing trend and for early warnings when impulses fire against bias.
How to use
Up-bias: look for the next impulse-up near structure/FVG/OB or volumetric support.
Down-bias: mirror the logic.
Frequent counter-impulses → expect chop or regime change.
Inputs to know
Show Impulse Signals.
Paint Impulse Candles.
Market Structure
Automatic Internal (tight lookback) and Swing (wider lookback) structure with BOS and MSB (CHoCH) labels. You decide what to show—All, BOS only, MSB only—independently for internal vs swing.
How to use
Use Swing labels for the primary map; Internal for entry refinement.
After a bullish MSB , seek the first HL back into support/FVG/OB.
After a bearish BOS , favor LH fades into resistance/FVG/OB.
Inputs to know
Swing Lookback / Internal Lookback.
Swing/Internal Structure: All | BOS | MSB | None .
Separate bull/bear color controls for both layers.
Fair Value Gaps
Detects bullish/bearish FVGs on the current or higher TF, draws boxes, and can extend them forward. Midlines provide quick visual targeting.
How to use
In-trend fills: in an up-bias, tags of bullish FVGs often offer high-quality continuation entries, especially with structure/OB confluence.
Failed fills: rejections at the midline can signal emerging strength/weakness.
Inputs to know
Show FVG / Show Last N / Extend.
Timeframe (blank = chart TF; set higher TF for macro FVGs).
Bull/Bear colors (tune opacity to taste).
Volumetric Support and Resistance
Builds adaptive S/R from price interaction + relative volume over a rolling lookback. Levels store touch counts; you can show volume stats on labels or inside boxes. Transparency and border thickness can scale with volume so stronger levels are visually louder. Broken levels can auto-remove.
How to use
Use as confluence with structure, OBs, and FVGs. A long at volumetric support + Bull OB + FVG midline is qualitatively different from a naked level.
If a level breaks on strong volume, stop fading—flip expectations or wait for a clean retest.
Inputs to know
Detection Sensitivity / Volume Multiplier.
Analysis Period / Max Levels / Min Distance (%).
Remove Broken / Extend Right / Show Volume Info / Text Inside.
Support/Resistance colors (+ high-vol variants).
Alerts
New Support/Resistance Level Created.
Level Touch.
Level Break.
Order Blocks
Detects bullish/bearish OBs using configurable fractals (3- or 5-bar) with a break confirmation (by Close or High/Low). Optional FVG proximity filter, right-extension, and auto-delete when filled.
How to use
Bullish bias: stalk pullbacks into fresh Bull OBs aligned with a bullish FVG or volumetric support.
If price fills an opposing OB and fails to continue, reassess bias—context may be shifting.
Inputs to know
Fractal Type & Break Method (Close / HL).
Filter with FVG + Max FVG Distance.
Extend Blocks / Delete When Filled / Show Labels.
Alerts
New Order Block Created.
Order Block Touch.
Final Notes
Suggested workflow
Start with Composite Trend (bias).
Mark Swing structure in that direction.
Wait for an Impulse in-direction near an OB / FVG / Volumetric level.
Risk = nearest opposite level or OB edge; targets = FVG midlines / next S/R.
Timeframes & assets
Defaults suit liquid intraday and 1–4H swing.
Slower markets → lengthen lookbacks, lower sensitivity.
Very noisy crypto → keep trend visible, trim drawings (e.g., MSB only, last 3–5 FVGs, 8–12 volume levels).
Keep it readable
Turn off modules you don’t need today—fewer, higher-quality signals beat clutter.
About this release
Internal scoring, smoothing, and detection logic are proprietary. Behavior is controlled via inputs described above.
Trade with a plan, test your settings, and let confluence do the heavy lifting.
Navigator Range Pro+Title Navigator Range Pro+
What it is Navigator Range Pro+ is a confluence-first indicator that blends multi-timeframe (MTF) trend bias with a Dealing Range (DR) framework. It helps you quickly see when higher timeframes align and pairs that bias with clean breakout triggers from a current range. Designed to reduce noise and keep charts readable.
What you’ll see
Dealing Range: Auto-detected range top/bottom with a midline. Choose Stuck (pivot-based, fixed) or Dynamic (rolling highest/lowest) modes.
MTF Bias: Higher timeframe trend bias derived from a selectable moving average (SMA/EMA).
Compact Info Panel (table): A configurable on-chart panel that summarizes each higher timeframe’s bias, optional lower-timeframe analog labels, and a confluence tally. You can position it, resize text, and set columns/rows to fit your layout.
Clean Charting: Flip labels are optional and default to off, so alerts can fire without covering price action.
How it works
Bias engine: Computes bullish/bearish bias for each selected higher timeframe using your chosen MA length/type, then aggregates them into a confluence count.
DR engine: Finds or follows the current trading range and calculates a midline reference for signals or context.
Signals: You can use pure confluence, pure DR breakouts, or a combined “Bias + DR” confirmation for higher-quality entries.
Inputs to know
HTF Ranges (comma separated): Higher timeframes to assess (e.g., W,D,240,60,15).
MA Length/Type: Controls the bias engine’s sensitivity.
DR Mode: Stuck (pivot-based, fixed until a new pivot confirms) or Dynamic (rolling high/low by lookback).
Swing Length / Dynamic Lookback / Extend Right: Shape how the range is found and displayed.
Panel Position / Text Size / Panel Columns / Panel Rows: Customize the on-chart table.
Alerts: Min HTFs to align and Strict alignment (no opposite) to refine confluence.
Show Flip Labels on Chart: Optional visual flip labels; alerts are unaffected if kept off.
Alert conditions
Multi-TF Confluence Bullish: Minimum number of HTFs are bullish (optionally strict).
Multi-TF Confluence Bearish: Minimum number of HTFs are bearish (optionally strict).
DR Breakout Up: Close crosses above DR top.
DR Breakout Down: Close crosses below DR bottom.
Bias + DR Combo Bullish: Bullish confluence and price above your DR threshold (Midline or Top/Bottom).
Bias + DR Combo Bearish: Bearish confluence and price below your DR threshold (Midline or Top/Bottom).
Tips
For live trading, “Once per bar close” alerts are the safest and most consistent.
Increase the Min HTFs to align to reduce noise; switch Combo Threshold to Top/Bottom for fewer, stronger momentum entries.
Keep flip labels off to maintain a clean chart (alerts still fire).
Disclaimer This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk, including the risk of loss. You are solely responsible for your own trading decisions. Past performance does not guarantee future results. Always test on a demo and consult a licensed professional where appropriate.
CandelaCharts - Projections 📝 Overview
Projections turns a hand-picked swing window into clean, forward price levels. You pick a time range and an anchor (wick or body); the tool finds that window’s reference extremes (Level 0 & Level 1) and then projects directional extensions (e.g., −1, −2, −2.5, −4) in the chosen bias (Auto / Bullish / Bearish). It draws flat lines across the chart with optional labels so you can plan targets, fade zones, or continuation levels at a glance.
📦 Features
This section highlights the core capabilities you’ll rely on most.
Window-based engine — Define a start/end time; the script records open/high/low/close inside that window and builds levels from those extremes.
Two anchor styles — Project from Wick extremes (Hi/Lo) or Body extremes (max/min of OHLC at the high/low bars).
Directional bias — Auto (up if net up; doji resolves by wick dominance), or force Bullish/Bearish for one-sided extensions.
Default & Custom levels — Toggle pre-sets (−1/−2/−2.5/−4) or enter your own comma-separated list (decimals supported).
Readable drawings — Per-level colors (defaults) or unified bull/bear color (custom), with label size, line style, and width controls.
⚙️ Settings
Use these controls to define the window, pick the projection style, and customize the visuals.
Settings (Core)
From / To — Start and end timestamps of the capture window (everything is computed from this segment).
Bias — Auto / Bullish / Bearish. Guides which way negative levels extend (up for bull, down for bear).
Anchor — Wick uses Hi/Lo; Body uses the body extremes at the high/low bars.
Levels
Levels = Default — Enable any of −1, −2, −2.5, −4 and set each color.
Levels = Custom — Provide your own list (e.g., “−0.5, −1, −1.5, −3”) and pick Bullish/Bearish colors. (Custom uses one color per side.)
Style
Labels — Show/Hide the numeric level tag at the line’s right edge; choose label size.
Lines — Pick solid/dashed/dotted and line width.
⚡️ Showcase
Bearish Projection
Bullish Projection
📒 Usage
Follow these steps to set the window, generate levels, and turn them into a trade plan.
1) Mark the window — Set From/To around the swing you want to project (e.g., prior day, news impulse, weekly move).
2) Choose bias — Auto adapts; or lock Bullish/Bearish if you only want upside or downside projections.
3) Pick anchor — Wick = raw extremes; Body = more conservative reference. Body helps when single-print wicks distort levels.
4) Select levels — Toggle defaults or add a custom list. Negative values (−1, −2, …) extend beyond the reference extreme in the bias direction. (Level 0 and 1 are always drawn as the reference pair.)
5) Style it — Turn labels on, adjust size, and set line style/width for visibility on your timeframe.
6) Trade plan — Treat projections as reaction/continuation zones: scale out into −1/−2/−2.5, watch for fades back into the band, or ride continuation when price accepts beyond a level.
🚨 Alerts
There are no built-in alerts in this version.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Trapper Magnifying Glass - Bar Decomposer — Last Visible BarHeadline
Decompose any higher-timeframe bar into lower-timeframe candles directly on the chart. Zoom/pan reactive, session-accurate, auto-fit inset, and compliant with TradingView placement limits.
Quick Start
Add the indicator and choose a Child TF (minutes) (e.g., 1, 5, 10, 15).
The inset follows the last visible bar on your screen. Adjust Right separation / Mini width / Gap / Vertical exaggeration as needed.
Leave Show HUD label OFF by default. Turn it on only if you want a compact readout.
Overview
This tool draws a miniature, on-chart inset of lower-timeframe candles that make up the currently viewed higher-timeframe bar. It stays on the main price chart (not in a separate pane), respects zoom/pan, compresses itself to fit available space, and adheres to TradingView’s 500-bar object placement limit.
The design goal is micro-structure inspection without changing the chart timeframe.
What Makes It Different
On-chart inset (not a separate indicator panel) for true visual context.
Zoom/Pan reactive to the last visible bar — works naturally as you navigate.
Auto-fit logic keeps the inset readable while staying inside TradingView’s future-bars limit.
Session-accurate decomposition: uses TradingView’s own lower-timeframe OHLC, exactly within the parent bar’s time window.
Strictly compliant: no synthetic bars, no repaint tricks, no lookahead.
How It Works
Child data is fetched with request.security_lower_tf(syminfo.tickerid, , open/high/low/close).
Only closed lower-TF bars inside the parent bar’s time window are returned by TradingView.
The script maps each child bar to an inset candle (body + wick) scaled to the parent bar’s price range and placed to the right of the parent’s position.
The inset tracks the last visible bar so it always stays relevant to what you’re inspecting.
Inputs (Defaults)
Timeframes
Child TF (minutes): 1 (min 1, max 1440)
Layout
Right separation (bars): 10
Mini candle width (bars): 2
Gap between mini candles (bars): 0
Vertical exaggeration ×: 1.6
Auto-Fit
Auto-fit inset width: ON
Max bars ahead to use: 120
Minimum mini width: 1
Minimum gap: 0
Style
Bull/Bear colors: ON
Body Bull / Body Bear / Wick Bull / Wick Bear: configurable
Body Fill Opacity (0–100): 12
Outline color: dark grey
Outline width: 1
Wick width: 2
HUD
Show HUD label: OFF (recommended default; enable only when you need a summary)
Session Behavior (Important)
TradingView constructs bars strictly by exchange sessions. For US equities (regular session 09:30–16:00, 390 minutes):
On a 1h chart you will see 7 bars per day:
09:30–10:00 (30 minutes)
10:00–11:00, 11:00–12:00, 12:00–13:00, 13:00–14:00, 14:00–15:00 (five full hours)
15:00–16:00 (full hour)
Decomposing the 09:30–10:00 bar into 1m returns 30 minis (not 60).
Decomposing 10:00–11:00 returns 60 minis, as expected.
The last hour (15:00–16:00) decomposes to 60 minis once they exist (i.e., immediately after each child bar closes). If you are mid-session, you will see only the minis that have closed so far.
This is by design and ensures the inset reflects the true lower-timeframe structure TradingView has for that exact bar window. Nothing is synthesized.
Live vs Confirmed Bars
Confirmed bars (historical) always decompose to a full, correct count of child minis for that parent window.
Live bars (currently forming) only return child minis that have already closed. Mid-hour on a 1h chart with 10m children, you might see 3, 4, or 5 minis depending on elapsed time.
This script’s default experience focuses on the last visible bar and displays whatever the platform provides at that moment. The HUD (when enabled) includes the parent bar duration in minutes to make short session bars explicit.
Auto-Fit and Placement Limits
TradingView prevents drawing objects beyond 500 bars into the future. The inset’s right edge is automatically clamped to stay within that boundary. If the requested number of minis would overflow the allowed space, the script proportionally compresses mini width/gap (down to your configured minimums). If necessary, it draws only as many minis as safely fit — favoring stability over clutter.
Styling Tips
For dense decompositions (e.g., 1m inside 1h), set:
Mini width = 1, Gap = 0, Auto-fit = ON, Right separation = 7–12.
Increase Vertical exaggeration to highlight wick-to-body differences when the parent bar is narrow.
Keep HUD OFF for publishing and screenshots unless you’re highlighting counts or session duration.
Notes & Limitations
Child arrays show closed bars only. No forming mini is displayed to avoid misleading totals.
If you reload a chart or switch symbols/timeframes, the most recent confirmed bar’s arrays may be empty on the very first calculation frame; the script guards against this and will draw on the next update.
The tool is an overlay visualization, not a signal generator; there are no alerts or trading advice.
Performance: heavy decompositions on very fast symbols/timeframes can add many objects. Auto-fit and minimal widths help.
Compliance
Uses only native TradingView data (request.security_lower_tf).
No repainting and no lookahead.
No external feeds, synthetic candles, or hidden calculations that would misrepresent the underlying data.
Fully respects TradingView’s object placement constraints.
Recommended Defaults (for broad usability)
Child TF: 5 or 15 (depending on your HTF).
Right separation: 7–12
Mini width / Gap: 2 / 0 for clarity, 1 / 0 for dense fits.
Auto-fit: ON
HUD: OFF
Troubleshooting
“Why aren’t there 60 one-minute minis in this 1h bar?”
Either the parent bar is a session-short bar (09:30–10:00 = 30 minutes) or you are viewing a live bar mid-hour; only closed minis appear.
Inset clipped or not visible to the right:
Increase Max bars ahead to use (Auto-Fit group), reduce Mini width/Gap, or reduce Right separation.
Nothing draws on first load:
Wait for the next bar update, or navigate the chart so the last visible bar changes; arrays refresh as data becomes available.
Change Log
v1.0 – Initial public release.
On-chart inset, zoom/pan reactive, auto-fit width.
Session-accurate lower-TF decomposition.
HUD label toggle (off by default) with child TF, bar count, and parent duration.
Hardened array handling for confirmed snapshots.
Disclaimer
This script is provided strictly for educational and informational purposes only.
It does not constitute financial advice, investment advice, trading signals, or a recommendation to buy or sell any security, asset, or instrument. Trading and investing involve risk; always do your own research and consult with a licensed financial professional before making decisions.
AlphaRSI Pro - Adaptive RSI with Trend AnalysisOverview
AlphaRSI Pro is a technical analysis indicator that enhances the traditional RSI by incorporating adaptive overbought/oversold levels, trend bias analysis, and divergence detection. This indicator addresses common limitations of standard RSI implementations through mathematical adaptations to market volatility.
Technical Methodology
1. Smoothed RSI Calculation
Applies weighted moving average smoothing to standard RSI(14)
Reduces noise while preserving momentum signals
Configurable smoothing period (default: 3)
2. Adaptive Level System
Mathematical Approach:
Calculates ATR-based volatility ratio: volatility_ratio = current_ATR / average_ATR
Applies dynamic adjustment: adaptive_level = base_level ± (volatility_ratio - 1) × 20
Bounds levels between practical ranges (15-35 for oversold, 65-85 for overbought)
Purpose: Adjusts RSI sensitivity based on current market volatility conditions rather than using fixed 70/30 levels.
3. Trend Bias Integration
Uses Simple Moving Average slope analysis over configurable period
Calculates trend strength: |slope / price| × 100
Provides visual background shading for trend context
Filters RSI signals based on underlying price trend direction
4. Signal Generation Logic
Entry Conditions:
Bullish: RSI crosses above adaptive oversold level
Bearish: RSI crosses below adaptive overbought level
Strong signals: Include trend bias confirmation
Enhancement over standard RSI: Reduces false signals in choppy markets by requiring trend alignment for "strong" signals.
5. Divergence Detection
Automated identification of regular bullish/bearish divergences
Uses 5-bar lookback for pivot detection
Compares price highs/lows with corresponding RSI highs/lows
Plots divergence markers when conditions are met
Key Features
Real-time adaptive levels based on volatility
Trend-filtered signals to improve reliability
Built-in divergence scanner
Information dashboard showing current values
Comprehensive alert system
Clean visual presentation with customizable colors
Usage Guidelines
This indicator works best when:
Combined with proper risk management
Used in conjunction with other technical analysis
Applied to liquid markets with sufficient volatility data
Configured appropriately for the selected timeframe
Input Parameters
RSI Period: Standard RSI calculation length (default: 14)
Smoothing Period: WMA smoothing for noise reduction (default: 3)
Volatility Lookback: Period for ATR volatility calculation (default: 50)
Base OB/OS Levels: Starting points for adaptive adjustment (70/30)
Trend Period: Moving average length for trend bias (default: 21)
Alert Conditions
Bullish Signal: RSI crosses above adaptive oversold
Bearish Signal: RSI crosses below adaptive overbought
Strong Bullish/Bearish: Signals with trend confirmation
Divergence Alerts: Automated divergence detection
Educational Value
This indicator demonstrates several advanced Pine Script concepts:
Dynamic level calculation using mathematical formulas
Multi-timeframe analysis integration
Conditional signal filtering based on market state
Table display for real-time information
Comprehensive alert system implementation
Limitations
Requires sufficient historical data for volatility calculations
May generate fewer signals in very low volatility environments
Trend bias effectiveness depends on selected MA period
Divergences may not always lead to immediate reversals
Disclaimer
This indicator is for educational and analysis purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple forms of analysis before making trading decisions.
MaxAlgo - HTF Bias TableHTF Bias Tracker
Overview
The HTF Bias Tracker is a custom indicator designed to help traders monitor higher time frame (HTF) market biases while trading on lower time frames. It provides a clear visual table displaying the bias (bullish, bearish, mixed, or neutral) based on whether the current HTF candle has broken the high or low of the previous HTF candle. Additionally, it shows the current candle's condition (bullish or bearish based on close relative to open). This tool is particularly useful for multi-timeframe analysis, allowing traders to align lower time frame entries with higher time frame trends without switching charts.
The indicator does not generate buy/sell signals but offers contextual bias information to inform trading decisions. It is built for flexibility, supporting up to 5 customizable time frames (default: 1H, 4H, Daily, Weekly, Monthly) and can be used on any chart time frame.
How It Works
For each selected higher time frame (HTF):
Bias Calculation (H/L Break Column):
The indicator checks if the current HTF candle's high has exceeded the previous HTF candle's high (bullish break) or if the low has fallen below the previous HTF candle's low (bearish break).
Bullish: Current high > previous high (no low break).
Bearish: Current low < previous low (no high break).
Mixed: Both high and low breaks occur.
Neutral: No breaks yet. In this case, the text is colored based on the last completed break from the prior candle (green for bullish, red for bearish, orange for mixed) to maintain context.
Candle Condition (Candle Column):
Determines if the current HTF candle is bullish (close > open) or bearish (close <= open).
The results are displayed in a table with arrows (↑ for bullish, ↓ for bearish, ↔ for mixed) and color-coded text for quick readability.
The bias updates in real-time as the HTF candle develops, but final confirmation occurs at the HTF candle close.
This logic is rooted in price action principles: breaking a previous candle's extreme often indicates momentum. For example, historical data across various markets shows that when a candle takes the low of the previous candle, there's approximately a 70% probability it closes bearish (and vice versa for highs closing bullish). This can help gauge the likelihood of trend continuation, but results vary by asset, time frame, and market conditions—always backtest for your setup.
Features
Customizable Time Frames: Select up to 5 HTFs via inputs (e.g., "60" for 1H, "D" for Daily). Leave blank to disable.
Table Display: A compact table shows TF, H/L Break bias, and Candle condition. Includes headers for clarity.
Visual Enhancements: Color-coded text (green for bullish, red for bearish, orange for mixed, gray for neutral without prior bias). Arrows provide at-a-glance direction.
User Options:
Table Background Color: Adjust transparency and color for better visibility.
Table Position: Choose from 9 positions (e.g., Bottom Right default).
Border Width (Padding): Increase for more spacing around the table (min 0).
No Overlays: The indicator appears as a non-overlay pane, keeping your chart clean.
Supports all symbols and time frames, but best on lower TFs (e.g., 1m-15m) for monitoring HTFs.
How to Use It
Add to Chart: Search for "HTF Bias Tracker" in TradingView's indicator library and add it to your chart.
Configure Inputs: Set your desired HTFs, position, and colors.
Interpret the Table:
Look for alignment across multiple HTFs (e.g., multiple "Bullish ↑" biases suggest upward momentum).
Use the H/L Break as a directional filter: Enter long trades only when HTF bias is bullish or neutral with a prior bull break.
Combine with Candle Condition for confirmation: A bearish bias with a bearish candle might signal short opportunities.
Trading Example:
On a 1m chart, if the 1H bias shows "Bearish ↓" (low of previous 1H broken), there's ~70% chance the 1H closes lower. Wait for lower TF pullbacks to enter shorts, aligning with the HTF downtrend.
For scalping: If Daily is "Bullish ↑" but 4H is "Neutral ↓" (prior bear break), consider fading minor pullbacks but avoid counter-trend trades.
Risk Management: Always use stop-losses based on recent highs/lows and position size appropriately. This indicator aids bias assessment but should be combined with other tools like support/resistance or oscillators.
Strategy Ideas:
Trend Alignment: Trade in the direction of the majority HTF biases.
Breakout Confirmation: When a break occurs, monitor for volume or price action confirmation on your trading TF.
Reversion Plays: In ranging markets, a "Mixed ↔" bias might signal indecision—avoid trades until resolution.
Backtest the probability edge (e.g., via Pine Script strategies) to quantify performance in your markets.
Limitations and Disclaimer
The ~70% probability mentioned is a general observation from historical price action studies (e.g., across forex and indices); it is not a guarantee and should be verified with your own data. No backtesting results are provided here—users are encouraged to test independently.
The indicator relies on request.security() for HTF data, which may have minor delays in real-time.
This is not financial advice. Trading involves risk, and past performance does not predict future results. Use at your own discretion and consult a professional advisor if needed.
Aroon ADX/DIUnified trend-strength (ADX/DI) + trend-age (Aroon) with centered scaling, gated signals, regime tints, and a compact readout.
What is different about this script:
- Purpose-built mashup of ADX/DI tells trend strength and side, while Aroon Oscillator tracks trend emergence/aging. Combining them into a scaled chart creates a way to separate “strong-but-late” trends from “newly-emerging” ones.
- Unified scale: Centering the maps into a common +/- 100 range so all lines are directly comparable at a glance (no units mismatch or fumbling with scales).
- Signal quality gating: DI cross signals can be gated by minimum ADX so crosses in chop are filtered out.
- Regime context: Background tints show low-strength chop, developing, and strong regimes using your ADX thresholds.
- Operator-focused UI: Clean fills, color-blind palette, and a two-column table summarizing DI+, DI−, ADX, Aroon, and a plain-English Bias/Trend status.
How it works:
- DI+/DI−/ADX: Wilder’s DI is smoothed; DX → ADX via SMA smoothing.
- Aroon Oscillator: highlights new highs/lows frequency to infer trend
- Centering: Maps DI/ADX from 5-95 and ±100, with your Midpoint controlling where “0” sits in raw mode.
- Signals:
- Bullish/Bearish DI crosses, optionally allowed only when ADX ≥ Min.
- ADX crosses of your Low/High thresholds.
- Aroon crosses of 0, +80, −80 (fresh trend thresholds).
- Display aids: Optional fill between DI+/DI−; thin guides for thresholds; single-pane table summary.
How to use:
- For this to be useful, centering should stay on, modify ADX Low/High and monitor DI crosses with ADX.
- Interpretations:
Bias: DI+ above DI− = bull; below = bear.
Strength level: ADX < Low = chop, Low–High = developing, > High = strong.
Freshness: Aroon > +80 or crossing up 0 suggests new or continued bull push; < −80 or crossing down 0 suggests new or continued bear push.
- Alerts: Use built-ins for DI crosses, ADX regime changes, and Aroon thresholds.
Advanced RSI — Mark 4 RSI was introduced by J. Welles Wilder Jr. in 1978 in New Concepts in Technical Trading Systems. It measures the velocity of gains vs. losses on a bounded 0–100 scale and popularized the 14-period lookback with 70/30 guide rails for overbought/oversold. Over time, traders added variations (different lengths, thresholds, smoothing, adaptive levels), but the core idea stayed the same: momentum turns often precede price turns.
and i initially started to make minor adjustments for personal use like changing the default to 17 , and using Tradingviews official RSI which comes with a MA embedded. but it was not enough. especially the visuals.
so, for this public release Mark 4 i enhanced RSI by incorporating :
1. Dual-Length Fusion
Two RSI periods (default 17 + 21) blended then lightly smoothed (TEMA by default) → steadier
line without dulling turns.
2. Adaptive OB/OS (ATR-aware) for fewer whipsaws.
3. OB/OS alt solution:
Brief yellow segments appear only at local extremes (default: >72 tops, <32 bottoms) to
emphasize exhaustion without repainting the whole line.
4. Signals you can actually see
Triangle markers for:
Bullish: RSI crossing up through adaptive OS (and still <40 at the cross).
Bearish: RSI crossing down through adaptive OB (and still >60 at the cross).
“Strong Bull/Bear” background nudges appear when momentum is pushing beyond the
bands.
Optional Divergence Tags
and
Tiny diamonds to flag potential bullish/bearish divergences (look-back based).
Info Table (can be hidden)
my Fav feature i included 5 colorways with modern themes.(pls check under INPUTS)
and i made all that to make the indicator visualization look awesome on high end displays.
Credits & acknowledgment
Inspired by the original RSI by J. Welles Wilder Jr. (1978).
Built to be modern, focused, and comfortable for long sessions—especially on dark/OLED displays.
THIS INDICATOR IS MORE THAN ENOUGH BUT I DO HAVE PRIVATE INDICATORS WITH DIFFERENT LOGIC FUNCTIONS.
I'm open for feedback/collaboration.
drsamc.
RSI Divergence detector by Jaehee📌 RSI DIVERGENCE DETECTOR — Instant Detection of Regular & Hidden Divergences with Color-Coded Labels
🔍 WHAT IT IS
• Detects regular and hidden divergences between price and RSI instantly, without the delay common in other divergence indicators
• Displays divergences directly on the chart with color-coded labels and connecting lines for instant visual recognition
• Uses different label colors for each divergence type so traders can identify setups at a glance
⚙️ HOW IT WORKS
• RSI Calculation — RSI is computed from a chosen price source with adjustable length
• Immediate Pivot Detection — Identifies pivots just one bar after formation for minimal delay
• RSI Delta Filter — Requires a minimum RSI difference to reduce noise and false signals
• Divergence Logic
Regular Bullish: Price lower low • RSI higher low
Regular Bearish: Price higher high • RSI lower high
Hidden Bullish: Price higher low • RSI lower low
Hidden Bearish: Price lower high • RSI higher high
• Visual Output — Connects pivot points with lines and adds labels above/below bars in colors you set
💡 WHY THIS COMBINATION
• Instant feedback — Acts faster than typical divergence tools that wait for multiple bar confirmations
• All-in-one detection — Regular and hidden divergences in the same tool
• Visual clarity — Distinct label colors make type recognition immediate
• Customizable — Adjust RSI length, pivot sensitivity, color scheme, and filtering to your style
🆚 HOW IT DIFFERS FROM COMMON DIVERGENCE INDICATORS
• Displays divergence the moment a pivot forms
• Detects both regular and hidden divergences in real time
• Applies RSI difference filtering for better quality
• Offers full color customization for each divergence type
📖 HOW TO READ IT (CONTEXT, NOT SIGNALS)
• Regular Bullish ↑ — Possible upward reversal or trend continuation after pullback
• Regular Bearish ↓ — Possible downward reversal or continuation after rally
• Hidden Bullish ↑ — Often a trend continuation signal in uptrends
• Hidden Bearish ↓ — Often a trend continuation signal in downtrends
• Always confirm with trend, momentum, or volume tools before trading
🛠 INPUTS
• RSI source and length
• Pivot lookback bars (left/right)
• Minimum RSI difference
• Custom colors for each divergence type
🎨 DESIGN NOTES
• Overlay on price chart for context
• Lines connect relevant pivots for clarity
• Labels placed near pivot highs/lows for easy spotting
• Customizable colors for personal visual preferences
⚠️ LIMITATIONS AND GOOD PRACTICE
• Divergence is not a guaranteed reversal signal
• Strong trends may override divergence setups
• False signals can occur in low volume or choppy markets
• Best used with a complete trading system and risk management
📂 DEFAULTS AND SCOPE
• Works on all OHLCV instruments and timeframes
• No repainting after pivot confirmation
💬 AUTHOR’S NOTE FOR REVIEW
This script is not a repackaging of existing tools. It integrates immediate divergence detection, hidden divergence analysis, and visual type separation into a single, customizable package. All features interact to deliver faster, clearer market context without generating trade signals or making performance claims.
Volume Stack EmojisVolume Stack visualizes market bias and momentum for each candle using intuitive emojis in a dedicated bottom pane, keeping your main price chart clean and focused. The indicator analyzes where price closes within each bar’s range to estimate bullish or bearish pressure and highlights key momentum shifts.
Features:
Bullish and Bearish States:
🟩 Green square: Normal bullish candle
🟥 Red square: Normal bearish candle
Strong Bullish/Bearish:
🟢 Green circle: Strong bullish (close near high)
🔴 Red circle: Strong bearish (close near low)
Critical Transitions:
✅ Green checkmark: Bearish → strong bullish (momentum reversal up)
❌ Red cross: Bullish → strong bearish (momentum reversal down)
Easy Visual Scanning:
Emojis plotted in the indicator’s own pane for rapid pattern recognition and clean workflow.
No overlays:
Keeps all symbols off the main price pane.
How it works:
For each candle, the indicator calculates the percentage distance of the close price within the high/low range, then classifies and marks:
Normal bullish/bearish: Basic directional bias
Strong signals: Close is at least 75% toward the high (bullish) or low (bearish)
Transitions: Detects when the market suddenly flips from bullish to strong bearish (❌), or bearish to strong bullish (✅), pinpointing possible inflection points.
This indicator is ideal for traders who want a simple, non-intrusive visualization of intrabar momentum and key reversals—making trend reading and market sentiment effortless.
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB**
A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context.
* See trend direction at a glance with SMAs.
* Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200).
* Highlight big regime shifts with special Golden/Death tags.
* Read momentum and volatility with the candle heatmap.
* Add Bollinger Bands if you want classic mean-reversion context.
Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes.
# What This Indicator Does (plain English)
* **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead).
* **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint.
* **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out.
* **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient.
* **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them.
* **Includes alert conditions** for Golden and Death Cross so you can automate notifications.
---
# Settings — Simple Explanations
## Source
* **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`.
## SMA 50
* **Show 50**: Turn the SMA(50) line on/off.
* **Length 50**: How many bars to average. Lower = faster but noisier.
* **Color 50** / **Width 50**: Visual style.
* **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe.
## SMA 100
* **Show 100**: Turn the SMA(100) line on/off.
* **Length 100**: Bars used for the mid-term trend.
* **Color 100** / **Width 100**: Visual style.
* **Timeframe 100**: Optional alternate timeframe for SMA(100).
## SMA 200
* **Show 200**: Turn the SMA(200) line on/off.
* **Length 200**: Bars used for the long-term trend.
* **Color 200** / **Width 200**: Visual style.
* **Timeframe 200**: Optional alternate timeframe for SMA(200).
## Signals (crossover labels)
* **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200).
* **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint).
* **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often.
* **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish.
### Label Offset
* **Offset mode**: Choose how to push labels away from price:
* **Percent**: Offset is a % of price.
* **ATR x**: Offset is ATR(14) × multiplier.
* **Percent of price (%)**: Used when mode = Percent.
* **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x.
### Label Colors
* **Bull color** / **Bear color**: Background of triangle labels.
* **Bull label text color** / **Bear label text color**: Text color inside the triangles.
## Golden / Death Cross
* **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200.
* **Golden label color** / **Golden text color**: Styling for Golden label.
* **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200.
* **Death label color** / **Death text color**: Styling for Death label.
## Candle Heatmap
* **Enable heatmap candle colors**: Turns the heatmap on/off.
* **Length**: Lookback for the regression midline and volatility measure.
* **Deviation Multiplier**: Band width around the midline (bigger = wider).
* **Volatility basis**:
* **RMA Range** (smoothed high-low range)
* **Stdev** (standard deviation of close)
* **Upper/Middle/Lower color**: Gradient colors for the heatmap.
* **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible.
* **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring.
## Bollinger Bands (optional)
* **Show Bollinger Bands**: Toggle the overlay on/off.
* **Length**: Basis SMA length.
* **StdDev Multiplier**: Distance of bands from the basis in standard deviations.
* **Basis color** / **Band color**: Line colors for basis and bands.
* **Bands fill transparency**: Opacity of the fill between upper/lower bands.
---
# Features & How It Works
## 1) HTF-Safe SMAs
Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars).
## 2) Crossover Labels (Three Pairs)
* **50↔100**, **50↔200**, **100↔200**:
* **Triangle Up** label when the first SMA crosses **above** the second.
* **Triangle Down** label when it crosses **below**.
* Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish).
* **Debounce** spacing avoids repeated labels for the same pair too close together.
## 3) Golden / Death Cross Highlights
* **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift).
* **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift).
* Separate styling so they stand out from regular cross labels.
## 4) Candle Heatmap
* Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel.
* Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish.
* Helps you see momentum and “where price sits” relative to a dynamic channel.
## 5) Bollinger Bands (Optional)
* Classic **basis SMA** ± **StdDev** bands.
* Light visual context for mean-reversion and volatility expansion.
## 6) Alerts
* **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200`
* **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200`
Add these to your alerts to get notified automatically.
---
# Tips & Notes
* For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes.
* Use the **Trend Filter** to align signals with the broader stack and cut noise.
* For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame.
* Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
MSTY-WNTR Rebalancing SignalMSTY-WNTR Rebalancing Signal
## Overview
The **MSTY-WNTR Rebalancing Signal** is a custom TradingView indicator designed to help investors dynamically allocate between two YieldMax ETFs: **MSTY** (YieldMax MSTR Option Income Strategy ETF) and **WNTR** (YieldMax Short MSTR Option Income Strategy ETF). These ETFs are tied to MicroStrategy (MSTR) stock, which is heavily influenced by Bitcoin's price due to MSTR's significant Bitcoin holdings.
MSTY benefits from upward movements in MSTR (and thus Bitcoin) through a covered call strategy that generates income but caps upside potential. WNTR, on the other hand, provides inverse exposure, profiting from MSTR declines but losing in rallies. This indicator uses Bitcoin's momentum and MSTR's relative strength to signal when to hold MSTY (bullish phases), WNTR (bearish phases), or stay neutral, aiming to optimize returns by switching allocations at key turning points.
Inspired by strategies discussed in crypto communities (e.g., X posts analyzing MSTR-linked ETFs), this indicator promotes an active rebalancing approach over a "set and forget" buy-and-hold strategy. In simulated backtests over the past 12 months (as of August 4, 2025), the optimized version has shown potential to outperform holding 100% MSTY or 100% WNTR alone, with an illustrative APY of ~125% vs. ~6% for MSTY and ~-15% for WNTR in one scenario.
**Important Disclaimer**: This is not financial advice. Past performance does not guarantee future results. Always consult a financial advisor. Trading involves risk, and you could lose money. The indicator is for educational and informational purposes only.
## Key Features
- **Momentum-Based Signals**: Uses a Simple Moving Average (SMA) on Bitcoin's price to detect bullish (price > SMA) or bearish (price < SMA) trends.
- **RSI Confirmation**: Incorporates MSTR's Relative Strength Index (RSI) to filter signals, avoiding overbought conditions for MSTY and oversold for WNTR.
- **Visual Cues**:
- Green upward triangle for "Hold MSTY".
- Red downward triangle for "Hold WNTR".
- Yellow cross for "Switch" signals.
- Background color: Green for MSTY, red for WNTR.
- **Information Panel**: A table in the top-right corner displays real-time data: BTC Price, SMA value, MSTR RSI, and current Allocation (MSTY, WNTR, or Neutral).
- **Alerts**: Configurable alerts for holding MSTY, holding WNTR, or switching.
- **Optimized Parameters**: Defaults are tuned (SMA: 10 days, RSI: 15 periods, Overbought: 80, Oversold: 20) based on simulations to reduce whipsaws and capture trends effectively.
## How It Works
The indicator's logic is straightforward yet effective for volatile assets like Bitcoin and MSTR:
1. **Primary Trigger (Bitcoin Momentum)**:
- Calculate the SMA of Bitcoin's closing price (default: 10-day).
- Bullish: Current BTC price > SMA → Potential MSTY hold.
- Bearish: Current BTC price < SMA → Potential WNTR hold.
2. **Secondary Filter (MSTR RSI Confirmation)**:
- Compute RSI on MSTR stock (default: 15-period).
- For bullish signals: If RSI > Overbought (80), signal Neutral (avoid overextended rallies).
- For bearish signals: If RSI < Oversold (20), signal Neutral (avoid capitulation bottoms).
3. **Allocation Rules**:
- Hold 100% MSTY if bullish and not overbought.
- Hold 100% WNTR if bearish and not oversold.
- Neutral otherwise (e.g., during choppy or extreme markets) – consider holding cash or avoiding trades.
4. **Rebalancing**:
- Switch signals trigger when the hold changes (e.g., from MSTY to WNTR).
- Recommended frequency: Weekly reviews or on 5% BTC moves to minimize trading costs (aim for 4-6 trades/year).
This approach leverages Bitcoin's influence on MSTR while mitigating the risks of MSTY's covered call drag during downtrends and WNTR's losses in uptrends.
## Setup and Usage
1. **Chart Requirements**:
- Apply this indicator to a Bitcoin chart (e.g., BTCUSD on Binance or Coinbase, daily timeframe recommended).
- Ensure MSTR stock data is accessible (TradingView supports it natively).
2. **Adding to TradingView**:
- Open the Pine Editor.
- Paste the script code.
- Save and add to your chart.
- Customize inputs if needed (e.g., adjust SMA/RSI lengths for different timeframes).
3. **Interpretation**:
- **Green Background/Triangle**: Allocate 100% to MSTY – Bitcoin is in an uptrend, MSTR not overbought.
- **Red Background/Triangle**: Allocate 100% to WNTR – Bitcoin in downtrend, MSTR not oversold.
- **Yellow Switch Cross**: Rebalance your portfolio immediately.
- **Neutral (No Signal)**: Panel shows "Neutral" – Hold cash or previous position; reassess weekly.
- Monitor the panel for key metrics to validate signals manually.
4. **Backtesting and Strategy Integration**:
- Convert to a strategy script by changing `indicator()` to `strategy()` and adding entry/exit logic for automated testing.
- In simulations (e.g., using Python or TradingView's backtester), it has outperformed buy-and-hold in volatile markets by ~100-200% relative APY, but results vary.
- Factor in fees: ETF expense ratios (~0.99%), trading commissions (~$0.40/trade), and slippage.
5. **Risk Management**:
- Use with a diversified portfolio; never allocate more than you can afford to lose.
- Add stop-losses (e.g., 10% trailing) to protect against extreme moves.
- Rebalance sparingly to avoid over-trading in sideways markets.
- Dividends: Reinvest MSTY/WNTR payouts into the current hold for compounding.
## Performance Insights (Simulated as of August 4, 2025)
Based on synthetic backtests modeling the last 12 months:
- **Optimized Strategy APY**: ~125% (by timing switches effectively).
- **Hold 100% MSTY APY**: ~6% (gains from BTC rallies offset by downtrends).
- **Hold 100% WNTR APY**: ~-15% (losses in bull phases outweigh bear gains).
In one scenario with stronger volatility, the strategy achieved ~4533% APY vs. 10% for MSTY and -34% for WNTR, highlighting its potential in dynamic markets. However, these are illustrative; real results depend on actual BTC/MSTR movements. Test thoroughly on historical data.
## Limitations and Considerations
- **Data Dependency**: Relies on accurate BTC and MSTR data; delays or gaps can affect signals.
- **Market Risks**: Bitcoin's volatility can lead to false signals (whipsaws); the RSI filter helps but isn't perfect.
- **No Guarantees**: This indicator doesn't predict the future. MSTR's correlation to BTC may change (e.g., due to regulatory events).
- **Not for All Users**: Best for intermediate/advanced traders familiar with ETFs and crypto. Beginners should paper trade first.
- **Updates**: As of August 4, 2025, this is version 1.0. Future updates may include volume filters or EMA options.
If you find this indicator useful, consider leaving a like or comment on TradingView. Feedback welcome for improvements!
Market Energy – Trend vs Retest (with Saturation %)Market Energy – Trend vs Retest Indicator
This indicator measures the bullish and bearish energy in the market based on volume-weighted price changes.
It calculates two smoothed energy waves — bullish energy and bearish energy — using exponential moving averages of volume-adjusted price movements.
The indicator detects trend changes and retests by comparing the relative strength of these waves.
A saturation percentage quantifies the intensity of the current dominant side (bulls or bears) relative to recent highs.
- High saturation (>70%) indicates strong momentum and dominance by bulls or bears.
- Low saturation (<30%) suggests weak momentum and possible market indecision or consolidation.
The background color highlights the current control: green for bulls, red for bears, with transparency indicating the saturation level.
A label shows which side is currently in control along with the saturation percentage for quick interpretation.
Use this tool to identify strong trends, possible retests, and momentum strength to support your trading decisions.
MTPI TOTAL / BTC | JeffreyTimmermansMedium-Term Probability Indicator (MTPI)
The "Medium-Term Probability Indicator (MTPI)" is a multi-factor model designed to evaluate the medium-term state of a market. By aggregating signals from 20 underlying inputs, it generates a composite score that classifies the market as Bullish, Bearish, or Neutral. This helps traders understand the prevailing market regime and adapt strategies accordingly.
Key Features
Multi-Input Scoring: Combines up to 20 individual inputs (indicators, conditions, or models) into a single probability-based score.
Composite Market State: Translates raw input signals into three states: Bullish, Bearish, or Neutral.
Dynamic Background Coloring: Uses color-coded background shading to visually separate bullish, bearish, and neutral phases.
MTPI Score: Calculates a final numeric score (ranging from -1 to +1) to quantify the market’s directional bias.
Dashboard Display: Shows all input signals, their individual states, and the aggregated MTPI score at a glance.
Medium-Term Focus: Helps identify prevailing conditions that last from several weeks to several months.
Inputs & Settings
MTPI Settings:
Input Signals (1 to 20): Default: Predefined conditions. Each input evaluates the market from a unique perspective (trend, momentum, volatility, etc.).
Composite Score Calculation: Default weighting is equal across all inputs.
Color Settings:
Bullish: Bright green background
Neutral: Gray/orange background
Bearish: Bright red background
These colors can be customized as desired.
Calculation Process
Signal Aggregation:
Each input generates a state:
1 to 0.1 = Bullish
0.1 to -0.1 = Neutral
-0.1 to -1 = Bearish
Scoring:
The MTPI aggregates these values and calculates an average score.
Classification:
Bullish: Score > 0
Bearish: Score < 0
Neutral: Score ≈ 0
Visualization:
Background Coloring: Highlights the dominant phase on the chart.
Dashboard: Displays individual input states, the total MTPI score, and the resulting classification.
How to Use the MTPI
Identifying Market Regimes:
Bullish: Majority of inputs align positively. Favor long positions or trend-following strategies.
Bearish: Majority of inputs align negatively. Favor short positions or defensive strategies.
Neutral: Mixed signals. Caution or range-bound strategies may be preferable.
Transition Detection:
Changes in background color or the MTPI dashboard (score flipping from positive to negative, or vice versa) indicate potential regime shifts.
Dynamic Dashboard:
Score: Displays the net sum of all input signals (normalized).
State: Provides the classification (Bullish, Bearish, Neutral).
Trend: Visual cues for each input showing the current contribution to the MTPI.
Conclusion
The Medium-Term Probability Indicator (MTPI) consolidates multiple signals into a single, intuitive visualization that helps traders quickly assess the medium-term market environment. Its combination of a multi-input dashboard, composite scoring, and background coloring makes it a powerful decision-support tool.
This script is developed by Jeffrey Timmermans and is designed to complement other analysis methods.
ZigZag Based RSIDescription
ZigZag Trend RSI (ZZ-RSI) is an advanced momentum indicator that combines ZigZag-based trend detection with a trend-adjusted RSI to deliver smarter overbought and oversold signals. Unlike traditional RSI that reacts purely to price movement, this indicator adapts its sensitivity based on the prevailing trend structure identified via the ZigZag pattern.
By dynamically adjusting RSI thresholds according to market direction, ZZ-RSI helps filter out false signals and aligns RSI readings with broader trend context—crucial for trend-following strategies, counter-trend entries, and volatility-based timing.
Core Components
ZigZag Pattern Recognition:
Identifies significant swing highs and lows based on price deviation (%) and pivot sensitivity (length). The most recent pivot determines the prevailing trend direction:
🟢 Bullish: last swing is a higher high
🔴 Bearish: last swing is a lower low
⚪ Neutral: no recent significant movement
Trend-Weighted RSI:
Modifies traditional RSI input by emphasizing price changes in the direction of the trend:
In bull trends, upside moves are magnified.
In bear trends, downside moves are emphasized.
Dynamic RSI Zones:
Overbought and Oversold thresholds adapt to the trend:
In uptrends: higher OB and slightly raised OS → tolerate stronger rallies
In downtrends: lower OS and slightly reduced OB → accommodate stronger sell-offs
In neutral: default OB/OS values apply
How to Use
✅ Entries (Reversal or Mean Reversion Traders):
Look for oversold signals (green triangle) in downtrends or neutrals to catch potential reversals.
Look for overbought signals (red triangle) in uptrends or neutrals to fade momentum.
Confirm with price action or volume for higher conviction.
📈 Trend Continuation (Momentum or Trend-Followers):
Use the trend direction label (Bullish / Bearish / Neutral) to align your trades with the broader move.
Combine with moving averages or price structure for entry timing.
Avoid counter-trend signals unless confirmed by divergence or exhaustion.
🧠 Signal Interpretation Table (top right of chart):
Trend: Indicates the current market direction.
RSI: Real-time trend-adjusted RSI value.
Signal: OB/OS/Neutral classification.
Customization Options
ZigZag Length / Deviation %:
Adjust pivot sensitivity and filter out minor noise.
RSI Length:
Controls how fast RSI responds to trend-adjusted price.
Color Settings:
Personalize visual cues for trend direction and OB/OS backgrounds.
Alerts Included
📢 Overbought/oversold conditions
🔄 Trend reversals (bullish or bearish shift)
These alerts are ideal for automated strategies, mobile notifications, or algorithmic workflows.
Ideal For
Traders seeking smarter RSI signals filtered by market structure
Trend-followers and swing traders looking for reliable reversals
Those frustrated with false OB/OS signals in volatile or trending markets
Best Practices
Use in confluence with price structure, trendlines, or S/R levels.
For intraday: consider lowering ZigZag Length and RSI Length.
For higher timeframes: use higher deviation % and smoother RSI to reduce noise.
Divergence Indicator with Multi-Length Pivot DetectionThis Pine Script, titled “Divergence Indicator with Multi-Length Pivot Detection”, tool that detects both regular and hidden divergences between price action and an oscillator (defaulting to close, but configurable). It features multi-length pivot logic, angle-based validation, no-cross filtering, and OB/OS region filtering, making it a robust and precise divergence engine. Below is a detailed breakdown:
⸻
🔧 Inputs and Configuration
• osc_src: Oscillator source (e.g. close, RSI, MACD).
• show_hidden: Toggles detection of hidden divergences.
• min_*_angle settings: Control the minimum angle thresholds (in degrees) for confirming valid divergences (ensures momentum is strong enough).
• validate_no_cross: Ensures oscillator and price slopes don’t “cross” the actual values (i.e. filters out invalid or messy trends).
• oversold_level, overbought_level: Used when use_ob_os_filter is enabled to require oscillator to be in OS/OB zones for regular divergence.
• min_div_length: Minimum distance in bars between previous and current pivot points.
⸻
🔁 Internal Engine Mechanics
1. Pivot Detection Engine (Phase 1: Historical Memory)
• For all combinations of left1 and right1 in the range :
• Records all valid pivot lows and pivot highs.
• Stores their:
• bar index
• price value
• oscillator value
This forms a “memory buffer” of past pivots that future price pivots are compared against.
2. Current Pivot Detection (Phase 2: Scanning)
• Loops through larger pivot configurations (left2 ∈ , right2 = 1) to detect new current pivots.
• For each new pivot, it compares against the historical pivots from phase 1.
⸻
📐 Slope and Angle Calculation
For each matching pivot pair (historical vs current):
• Price and Oscillator Slopes are calculated via linear regression, producing:
• price_angle
• osc_angle
• These are converted using math.atan() and math.todegrees() to get proper angular direction and intensity of trend.
⸻
🧠 Divergence Logic
✅ Bullish Divergence
• Regular Bullish: Price makes a lower low, oscillator makes a higher low.
• Hidden Bullish: Price makes a higher low, oscillator makes a lower low.
• Conditions:
• Must meet minimum angle thresholds.
• Optional: Must be in oversold region (osc_src < oversold_level).
• If validate_no_cross is enabled, linearly interpolated slope must not be violated.
✅ Bearish Divergence
• Regular Bearish: Price makes a higher high, oscillator makes a lower high.
• Hidden Bearish: Price makes a lower high, oscillator makes a higher high.
• Conditions mirror the bullish case (with polarity reversed).
⸻
🖍️ Visualization
• Draws colored lines between pivots for visual clarity:
• Green: Regular Bullish
• Lime: Hidden Bullish
• Red: Regular Bearish
• Maroon: Hidden Bearish
• Uses plotshape() to mark divergence bars:
• Triangle-up for bullish
• Triangle-down for bearish
The lines and shapes help quickly identify divergence zones with strong momentum structure.
⸻
🧪 Filtering Enhancements
• No Cross Slope Filter: Checks that oscillator and price values stay above/below their respective slope lines throughout the interval.
• OB/OS Filter: Restricts divergence signals to occur only in oversold/overbought conditions for regular divergences.
• Signal Thinning: Keeps line count to 100 using array.shift() and line.delete().
⸻
🧬 Design Philosophy
• Built to mimic institutional-grade divergence detection, avoiding common false positives.
• Uses adaptive pivots, rigorous angle validation, and noise filtering.
