CVD Zones & Divergence [Pro]# CVD Zones & Divergence
**Complete CVD order flow toolkit** - Divergences, POC, Profile, and Supply/Demand zones all in one professional indicator.
## 🎯 What It Does
Combines **four powerful order flow tools** into a single, cohesive indicator:
1. **CVD Divergences** - Early warnings + confirmed signals
2. **Point of Control (POC)** - Fair value equilibrium line
3. **CVD Profile** - Visual distribution histogram
4. **Supply/Demand Zones** - Real absorption-based S/R levels
All based on **Cumulative Volume Delta (CVD)** - actual buying/selling pressure, not approximations.
## ✨ Key Features
### 🔄 CVD Divergences (Dual Mode)
**Confirmed Divergences** (High Accuracy)
- Solid lines (customizable colors)
- 🔻 Bear / 🔺 Bull labels
- Win rate: ~70-80%
- Best for swing traders
**Early Warning Mode** ⚡ (Fast Signals)
- Dashed lines (default purple)
- ⚠️ Early Bear / ⚠️ Early Bull labels
- Fires 6+ bars earlier
- Win rate: ~55-65%
- Best for scalpers/day traders
### 🎯 Point of Control (POC)
- **Independent lookback** (300 bars default)
- Yellow line showing fair value
- Where most CVD activity occurred
- Acts as dynamic support/resistance
- Resets and recalculates continuously
### 📊 CVD Profile Histogram
- **Visual CVD distribution** over lookback period
- **Split buy/sell** (blue/orange bars)
- **Value Area** (70% CVD zone highlighted)
- Position: Right/Left/Current (your choice)
- Shows where actual order flow happened
### 📦 Supply/Demand Zones
- **Absorption-based** detection (not guesses!)
- Green = Demand (buyers absorbed 2:1+)
- Red = Supply (sellers absorbed 2:1+)
- Shows **real** institutional levels
- Auto-sorted by strength
- Displays top 8 zones
## 📊 What You See on Chart
```
Your Chart:
├─ 🔴 Red lines (bearish divergences)
├─ 🟢 Green lines (bullish divergences)
├─ 🟣 Purple dashed (early warnings)
├─ 🟡 Yellow POC line (fair value)
├─ 📊 Blue/Orange profile (right side)
├─ 🟢 Green boxes (demand zones)
└─ 🔴 Red boxes (supply zones)
```
## ⚙️ Recommended Settings
### 15m Day Trading (Most Popular)
```
📊 Profile:
- Lookback: 150 bars
- Profile Rows: 24
- Position: Right
🎯 POC:
- POC Lookback: 300 bars
- Show POC: ON
📦 Zones:
- Min Absorption Ratio: 2.0
- HVN Threshold: 1.5
- Max Zones: 8
🔄 Divergences:
- Pivot L/R: 9
- Early Warning: ON
- Early Right Bars: 3
- Min Bars Between: 40
- Min CVD Diff: 5%
```
### 5m Scalping
```
Profile Lookback: 100
POC Lookback: 200
Pivot L/R: 7
Early Warning Right: 2
Min Bars Between: 60
```
### 1H Swing Trading
```
Profile Lookback: 200
POC Lookback: 400-500
Pivot L/R: 12-14
Early Warning Right: 4-5
Min Bars Between: 30
Min CVD Diff: 8%
```
## 💡 How to Trade
### Setup 1: Divergence at Zone ⭐ (BEST - 75%+ win rate)
**Entry:**
- Price hits demand/supply zone
- Divergence appears (early or confirmed)
- Double confluence = high probability
**Example (Long):**
```
1. Price drops into green demand zone
2. ⚠️ Early bullish divergence fires
3. Enter long with tight stop below zone
4. Target: POC or next supply zone
```
**Risk/Reward:** 1:3 to 1:5
---
### Setup 2: POC Bounce/Rejection
**Entry:**
- Price approaches POC line
- Wait for reaction (bounce or rejection)
- Enter in direction of reaction
**Long Setup:**
```
1. Price pulls back to POC from above
2. POC acts as support
3. Bullish divergence appears (confirmation)
4. Enter long, stop below POC
```
**Short Setup:**
```
1. Price rallies to POC from below
2. POC acts as resistance
3. Bearish divergence appears
4. Enter short, stop above POC
```
**Risk/Reward:** 1:2 to 1:4
---
### Setup 3: Zone + Profile Confluence
**Entry:**
- Supply/demand zone aligns with thick profile bar
- Shows high CVD activity at that level
- Triple confluence = very high probability
**Example:**
```
1. Supply zone at 26,100
2. Profile shows heavy selling at 26,100
3. Price rallies to 26,100
4. Bearish divergence appears
5. Enter short
```
**Risk/Reward:** 1:4 to 1:6
---
### Setup 4: Early Warning Scalp ⚡
**Entry (Aggressive):**
- ⚠️ Early warning fires
- Price at zone or POC
- Enter immediately
- Tight stop (1-2 ATR)
**Management:**
```
- Take 50% profit at 1:1
- Move stop to breakeven
- 🔻 Confirmed signal → Trail stop
- Exit rest at target
```
**Risk/Reward:** 1:1.5 to 1:2
**Trades/day:** 3-8
---
### Setup 5: Multi-Timeframe (Advanced)
**Confirmation Required:**
```
Higher TF (1H):
- Confirmed divergence
- At major POC or zone
Lower TF (15m):
- Early warning triggers
- Entry with better timing
```
**Benefits:**
- HTF gives direction
- LTF gives entry
- Best of both worlds
**Risk/Reward:** 1:3 to 1:5
---
## 📊 Component Details
### CVD Profile
**What the colors mean:**
- **Blue bars** = Buying CVD (demand)
- **Orange bars** = Selling CVD (supply)
- **Lighter shade** = Value Area (70% CVD)
- **Thicker bar** = More volume at that price
**How to use:**
- Thick bars = Support/Resistance
- Profile shape shows market structure
- Balanced profile = range
- Skewed profile = trend
---
### Supply/Demand Zones
**How they're detected:**
1. High Volume Node (1.5x average)
2. CVD buy/sell ratio calculated
3. Ratio ≥ 2.0 → Zone created
4. Sorted by strength (top 8 shown)
**Zone labels show:**
- Type: "Demand" or "Supply"
- Ratio: "2.8:1" = strength
**Not like other indicators:**
- ❌ Other tools use price action alone
- ✅ This uses actual CVD absorption
- Shows WHERE limit orders defended levels
---
### Point of Control (POC)
**What it shows:**
- Price with highest CVD activity
- Market's "fair value"
- Dynamic S/R level
**How to use:**
- Price above POC = bullish bias
- Price below POC = bearish bias
- POC retest = trading opportunity
- POC cross = trend change signal
**Independent lookback:**
- Profile: 150 bars (short-term)
- POC: 300 bars (longer-term context)
- Gives stable, relevant POC
---
## 🔧 Settings Explained
### 📊 Profile Settings
**Lookback Bars** (150 default)
- How many bars for profile calculation
- Lower = more recent, reactive
- Higher = more historical, stable
**Profile Rows** (24 default)
- Granularity of distribution
- Lower = coarser (faster)
- Higher = finer detail (slower)
**Profile Position**
- Right: After current price
- Left: Before lookback period
- Current: At lookback start
**Value Area** (70% default)
- Highlights main CVD concentration
- 70% is standard
- Higher % = wider zone
---
### 🎯 POC Settings
**POC Lookback** (300 default)
- Independent from profile
- Longer = more stable POC
- Shorter = more reactive POC
**Show POC Line/Label**
- Toggle visibility
- Customize color/width
---
### 📦 Zone Settings
**Min Absorption Ratio** (2.0 default)
- Buy/Sell threshold for zones
- 2.0 = 2:1 ratio minimum
- Higher = fewer, stronger zones
**HVN Threshold** (1.5 default)
- Volume must be 1.5x average
- Higher = stricter filtering
- Lower = more zones
**Max Zones** (8 default)
- Limits display clutter
- Shows strongest N zones only
---
### 🔄 Divergence Settings
**Pivot Left/Right** (9/9 default)
- Bars to confirm pivot
- Higher = slower, more confirmed
- Lower = faster, less confirmed
**Early Warning**
- ON = Show early signals
- Early Right Bars (3 default)
- 3 = 6 bars faster than confirmed
**Filters:**
- Min Bars Between (40): Prevents spam
- Min CVD Diff % (5): Filters weak signals
**Visual:**
- Line styles: Solid/Dashed/Dotted
- Colors: Customize all 4 types
- Labels: Toggle ON/OFF
---
## 🎨 Color Customization
**Divergences:**
- Bullish Confirmed: Green (default)
- Bearish Confirmed: Red (default)
- Early Bullish: Purple (default)
- Early Bearish: Purple (default)
**Zones & Profile:**
- Bull/Demand: Green
- Bear/Supply: Red
- Buy CVD Profile: Blue
- Sell CVD Profile: Orange
- Value Area Up/Down: Lighter blue/orange
**POC:**
- POC Color: Yellow (default)
All customizable to your preference!
---
## 🔔 Alerts Available
**6 Alert Types:**
1. 🔻 Bearish Divergence (confirmed)
2. 🔺 Bullish Divergence (confirmed)
3. ⚠️ Early Bearish Warning
4. ⚠️ Early Bullish Warning
5. (Manual: POC cross)
6. (Manual: Zone touch)
**Setup:**
1. Click Alert (⏰)
2. Choose "CVD Zones & Divergence"
3. Select alert type
4. Configure notification
5. Create!
---
## 💎 Pro Tips
### From Experienced Traders:
**"Use zones with divergences for best setups"**
- Zone alone: 60% win rate
- Divergence alone: 65% win rate
- Both together: 75%+ win rate
**"POC is your friend"**
- Price tends to revert to POC
- Great target for counter-trend trades
- POC cross = potential trend change
**"Profile tells the story"**
- Thick bars = institutional levels
- Balanced profile = range-bound
- Skewed high = distribution (top)
- Skewed low = accumulation (bottom)
**"Early warnings for entries, confirmed for confidence"**
- Early = better entry price
- Confirmed = validation
- Use both in scale-in strategy
**"Filter by timeframe"**
- 1m-5m: Very fast, many signals
- 15m: Sweet spot for most traders
- 1H-4H: High quality, fewer signals
---
## 🔧 Tuning Guide
### Too Cluttered?
**Simplify:**
```
✅ Show Divergences: ON
✅ Show POC: ON
❌ Show Zones: OFF (or reduce to 4-5)
❌ Show Value Area: OFF
❌ Divergence Labels: OFF
→ Clean chart with just lines + POC
```
### Missing Opportunities?
**More Signals:**
```
↓ Pivot Right: 6-7
↓ Early Warning Right: 2
↓ Min Bars Between: 25-30
↓ Min CVD Diff: 2-3%
↓ Min Absorption Ratio: 1.8
```
### Too Many False Signals?
**Stricter Filters:**
```
↑ Pivot Right: 12-15
↑ Min Bars Between: 60
↑ Min CVD Diff: 8-10%
↑ Min Absorption Ratio: 2.5
↓ Max Zones: 4-5
```
### POC Not Making Sense?
**Adjust POC Lookback:**
```
If too high: Increase to 400-500
If too low: Increase to 400-500
If jumping around: Increase to 500+
→ Longer lookback = more stable POC
```
---
## ❓ FAQ
**Q: Difference from CVD Divergence (standalone)?**
A: This is the **complete package**:
- Divergence tool = divergences only
- This = divergences + POC + profile + zones
- Use divergence tool for clean charts
- Use this for full analysis
**Q: Too slow/laggy?**
A: Reduce computational load:
```
Profile Rows: 18 (from 24)
Lookback: 100 (from 150)
Max Zones: 5 (from 8)
```
**Q: No volume data error?**
A: Symbol has no volume
- Works: Futures, stocks, crypto
- Maybe: Forex (broker-dependent)
- Doesn't work: Some forex pairs
**Q: Can I use just some features?**
A: Absolutely! Toggle what you want:
```
Zones only: Turn off divergences + POC
POC only: Turn off zones + divergences
Divergences only: Turn off zones + POC + profile
Mix and match as needed!
```
**Q: Best timeframe?**
A:
- **1m-5m**: Scalping (busy, many signals)
- **15m**: Day trading ⭐ (recommended)
- **1H-4H**: Swing trading (quality signals)
- **Daily**: Position trading (very selective)
**Q: Works on crypto/forex/stocks?**
A:
- ✅ Futures: Excellent
- ✅ Stocks: Excellent
- ✅ Crypto: Very good (major pairs)
- ⚠️ Forex: Depends on broker volume
---
## 📈 Performance Expectations
### Realistic Win Rates
| Strategy | Win Rate | Avg R/R | Trades/Week |
|----------|----------|---------|-------------|
| Early warnings only | 55-65% | 1:1.5 | 15-30 |
| Confirmed only | 70-80% | 1:2 | 8-15 |
| Divergence + Zone | 75-85% | 1:3 | 5-12 |
| Full confluence (all 4) | 80-90% | 1:4+ | 3-8 |
**Keys to success:**
- Don't trade every signal
- Wait for confluence
- Proper risk management
- Trade what you see, not what you think
---
## 🚀 Quick Start
**New User (5 minutes):**
1. ✅ Add to 15m chart
2. ✅ Default settings work well
3. ✅ Watch for 1 week (don't trade yet!)
4. ✅ Note which setups work best
5. ✅ Backtest on 50+ signals
6. ✅ Start with small size
7. ✅ Scale up slowly
**First Trade Checklist:**
- Divergence + Zone/POC = confluence
- Clear S/R level nearby
- Risk/reward minimum 1:2
- Position size = 1% risk max
- Stop loss placed
- Target identified
- Journal entry ready
---
## 📊 What Makes This Special?
**Most indicators:**
- Use RSI/MACD divergences (lagging)
- Guess at S/R zones (subjective)
- Don't show actual order flow
**This indicator:**
- Uses real CVD (actual volume delta)
- Absorption-based zones (real orders)
- Profile shows distribution (real activity)
- POC shows equilibrium (real fair value)
- All from one data source (coherent)
**Result:**
- Everything aligns
- No conflicting signals
- True order flow analysis
- Professional-grade toolkit
---
## 🎯 Trading Philosophy
**Remember:**
- Indicator shows you WHERE to look
- YOU decide whether to trade
- Quality over quantity always
- Risk management is #1
- Patience beats aggression
**Best trades have:**
- ✅ Multiple confluences
- ✅ Clear risk/reward
- ✅ Obvious invalidation point
- ✅ Aligned with trend/context
**Worst trades have:**
- ❌ Single signal only
- ❌ Poor location (middle of nowhere)
- ❌ Unclear stop placement
- ❌ Counter to all context
---
## ⚠️ Risk Disclaimer
**Important:**
- Past performance ≠ future results
- All trading involves risk
- Only risk what you can afford to lose
- This is a tool, not financial advice
- Use proper position sizing
- Keep a trading journal
- Consider professional advice
**Your responsibility:**
- Which setups to trade
- Position size
- Entry/exit timing
- Risk management
- Emotional control
**Success = Tool + Strategy + Discipline + Risk Management**
---
## 📝 Version History
**v1.0** - Current Release
- CVD divergences (confirmed + early warning)
- Point of Control (independent lookback)
- CVD profile histogram
- Supply/demand absorption zones
- Value area visualization
- 6 alert types
- Full customization
---
## 💬 Community
**Questions?** Drop a comment below
**Success story?** Share with the community
**Feature request?** Let me know
**Bug report?** Provide details in comments
---
**Happy Trading! 🚀📊**
*Professional order flow analysis in one indicator.*
**Like this?** ⭐ Follow for more quality tools!
インジケーターとストラテジー
RSI & MACD SuiteRSI & MACD Suite
A professional combination of two essential momentum indicators - Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) - designed to provide comprehensive market analysis in a single, clean interface.
OVERVIEW
This indicator combines the power of RSI and MACD to help traders identify potential overbought/oversold conditions, momentum shifts, and trend changes. Both indicators are displayed with enhanced visual elements including gradient fills, customizable bands, and clear signal lines.
FEATURES
RSI (Relative Strength Index)
- Customizable Period: Adjustable RSI length (default: 14)
- Visual Zones: Overbought zone (above 70) with green gradient, Oversold zone (below 30) with red gradient, Background fill between bands for easy reference
- Key Levels: Clear horizontal lines at 30, 50, and 70
- Flexible Source: Choose any price source (close, open, high, low, etc.)
MACD (Moving Average Convergence Divergence)
- Customizable Parameters: Fast Length (default: 12), Slow Length (default: 26), Signal Length (default: 9)
- MA Type Selection: Choose between EMA or SMA for both oscillator and signal line
- Color-Coded Histogram: Green for bullish momentum, Red for bearish momentum
- Clear Signal Lines: Blue MACD line and orange Signal line for easy identification
ALERT CONDITIONS
The indicator includes 7 built-in alert conditions:
RSI Alerts:
1. RSI Overbought - Triggers when RSI crosses above 70
2. RSI Oversold - Triggers when RSI crosses below 30
3. RSI Midline Cross - Triggers when RSI crosses the 50 level
MACD Alerts:
4. MACD Bullish Cross - Triggers when MACD line crosses above Signal line
5. MACD Bearish Cross - Triggers when MACD line crosses below Signal line
6. MACD Histogram Bullish - Triggers when histogram crosses above zero
7. MACD Histogram Bearish - Triggers when histogram crosses below zero
CUSTOMIZATION
Clean Organization
- Inputs Tab: Separate groups for RSI and MACD settings
- Style Tab: All visual elements clearly labeled with "RSI -" or "MACD -" prefixes for easy identification
- Full Control: Customize colors, line widths, and visibility of all elements
Visual Clarity
- Professional color scheme optimized for both light and dark themes
- Gradient fills for intuitive zone identification
- Clear separation between RSI and MACD elements
SETTINGS
RSI Settings
- Length: Lookback period for RSI calculation (default: 14)
- Source: Price data to use for calculation (default: close)
MACD Settings
- Source: Price data to use for calculation (default: close)
- Fast Length: Period for fast moving average (default: 12)
- Slow Length: Period for slow moving average (default: 26)
- Signal Length: Period for signal line (default: 9)
- Oscillator MA Type: EMA or SMA for MACD calculation
- Signal MA Type: EMA or SMA for signal line
TECHNICAL DETAILS
- Pine Script Version: v6
- Indicator Type: Oscillator (subplot)
- Calculation Method: RSI uses Relative Strength Index with RMA smoothing, MACD uses Fast MA minus Slow MA with configurable MA types
- Input Validation: Built-in checks to ensure valid parameter combinations
NOTES
- Default settings are industry-standard values (RSI: 14, MACD: 12/26/9)
- All visual elements can be hidden/shown individually in the Style tab
- Alerts must be manually created by users through TradingView's alert system
- This indicator does not repaint - all signals are based on closed candles
WHO SHOULD USE THIS
- Day traders looking for momentum signals
- Swing traders identifying trend changes
- Technical analysts performing multi-indicator analysis
- Traders who want a clean, all-in-one momentum solution
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and risk assessment before making trading decisions.
Version: 1.0
Author: aaboomar
License: Mozilla Public License 2.0
TGS by Shad TGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
Yivgeny Decision ScoreYivgeny Decision Score is a technical indicator that provides two objective scores (0–10) to support trading decisions:
ENTRY Score – evaluates the quality of a potential entry
HOLD Score – evaluates whether to hold or exit an existing position
The score is based on trend direction (SMA150), EMA20 behavior, volume confirmation, MACD momentum, breakout or bounce signals, and price action structure.
Designed for discretionary traders who want a clear, rule-based decision aid without automatic buy/sell signals.
SNIPER ORB V4SNIPER ORB V4
### What It Does
Draws 5/15/30 minute Opening Range Breakout levels with confirmation patterns.
### Session Times
| Session | Hours (ET) |
|---------|------------|
| London | 3:00 - 9:30 |
| New York | 9:30 - 17:00 |
### Levels Drawn
| Level | Color Default | Purpose |
|-------|---------------|---------|
| 5m ORB H/L | Blue | Scalp levels |
| 15m ORB H/L | Cyan | Swing levels |
| 30m ORB H/L | Purple | **Primary levels** |
| Targets 1x-3x | Green/Red | Profit targets |
### Signals
| Signal | Meaning | Priority |
|--------|---------|----------|
| `ORB↑` | Confirmed breakout up | ⭐⭐ |
| `ORB↓` | Confirmed breakout down | ⭐⭐ |
| `RT↑` | Retest long entry | ⭐⭐⭐ **BEST** |
| `RT↓` | Retest short entry | ⭐⭐⭐ **BEST** |
| `FVG↑` | FVG zone long | ⭐⭐⭐ |
| `FVG↓` | FVG zone short | ⭐⭐⭐ |
| `ABS` | Absorption (caution) | ⚠️ Warning |
| `FK!` | Fakeout detected | ❌ Avoid |
### FVG Zones (Blue Boxes)
- **Bullish FVG** = Gap below price → Support zone
- **Bearish FVG** = Gap above price → Resistance zone
- **Best Entry** = Price touches FVG + Engulfing candle
### Bar Colors
| Color | Meaning |
|-------|---------|
| Bright Green | Bullish breakout confirmed |
| Bright Red | Bearish breakout confirmed |
| Light Green | Bullish retest entry |
| Light Red | Bearish retest entry |
### Info Table Key
| Field | Green = Good | Yellow/Orange = Caution |
|-------|--------------|-------------------------|
| Volume | HIGH VOL | Normal |
| Body | STRONG (70%+) | Normal/Weak |
| Status | BROKE HIGH/LOW | IN RANGE |
### Quick Trade Plan
```
LONG:
1. Wait for 30m ORB to complete
2. Watch for ORB↑ breakout
3. WAIT for pullback to ORB High
4. Enter on RT↑ or FVG↑ signal
5. SL = Below 30m ORB Low
6. TP = Target 1x or 2x
SHORT:
1. Wait for 30m ORB to complete
2. Watch for ORB↓ breakout
3. WAIT for pullback to ORB Low
4. Enter on RT↓ or FVG↓ signal
5. SL = Above 30m ORB High
6. TP = Target 1x or 2x
```
---
Donchian Channel (Simple & Clear Version)Donchian Channel Indicator - Simple & Clear
OVERVIEW
The Donchian Channel is a powerful trend-following indicator that helps identify breakouts and potential trading opportunities. It consists of three lines based on the highest high and lowest low over a specified period.
HOW IT WORKS
• Upper Band (Green): The highest price over the last N periods
• Lower Band (Red): The lowest price over the last N periods
• Middle Line (Blue): The average of upper and lower bands
TRADING SIGNALS
📈 Bullish Breakout: When price breaks above the upper band (green triangle)
📉 Bearish Breakout: When price breaks below the lower band (red triangle)
SETTINGS
• Period Length: Default is 20 (adjustable based on your trading timeframe)
• Show Middle Line: Toggle on/off to display the middle line
HOW TO USE
1. Upward breakouts suggest potential long entries
2. Downward breakouts suggest potential short entries
3. Price touching upper band = strong uptrend
4. Price touching lower band = strong downtrend
5. Use with other indicators for confirmation
BEST PRACTICES
✓ Works well in trending markets
✓ Combine with volume analysis for better accuracy
✓ Consider using stop-loss below/above the opposite band
✓ Adjust period length: shorter for day trading (10-14), longer for swing trading (20-50)
Perfect for traders looking for a clean, easy-to-understand breakout indicator!
SMC-Clean v5 [BOS + OB + FVG]SMC-Clean v5 is a clean and lightweight Smart Money Concepts indicator designed to visualize market structure, Order Blocks, and Fair Value Gaps in a clear and non-repainting way.
The indicator automatically identifies Break of Structure (BOS) and Change of Character (CHoCH) using pivot-based structure logic, helping traders understand trend continuation and potential reversals. Bullish and bearish structures are clearly marked on the chart for quick visual interpretation.
It also detects Bullish and Bearish Order Blocks based on strong displacement candles filtered by ATR. Order Blocks are drawn as zones and are automatically removed once mitigated, keeping the chart clean and relevant.
Additionally, the script highlights Fair Value Gaps (FVG) using a three-candle imbalance model, filtered by minimum ATR size. These gaps can be used for pullback entries, mean reversion, and confluence with structure and Order Blocks.
SMC-Clean v5 is designed to be minimal, fast, and practical. It works on all markets and timeframes and is best used as a market structure and context tool, not as a standalone signal system. The script can be further customized and expanded into advanced SMC models.
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
WHAT THIS STRATEGY IS
CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions.
This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it.
HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED
This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together:
The Problem Being Solved:
Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either:
Too many false signals during consolidation (if thresholds are loose)
Missing valid opportunities during expansion (if thresholds are tight)
Stops that are too tight during volatility spikes (causing premature exits)
Stops that are too wide during compression (giving back profits)
The Solution Approach:
This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison.
How Each Component Contributes to the System:
ATR-Based Regime Classification (The Foundation)
The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes:
- Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common
- Expansion (ATR% 0.8% - 1.6%): Normal trending conditions
- Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions
This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system.
EMA Ribbon (8/21/34) - Trend Structure Detection
The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction.
Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter.
The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common.
MACD (8/21/5) - Momentum Measurement
The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise.
The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels.
The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum.
RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation
RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support.
The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings.
These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves.
Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection
When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases."
The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently.
The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant.
Volume Impulse Detection - Institutional Participation Filter
The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5.
This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable.
Volume impulse is required for all entries and adds points to the composite signal strength score.
Cycle Oscillator - Trend Alignment Filter
The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish.
This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment.
BTC Dominance Filter (Optional) - Market Regime Filter
The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered.
This filter is optional because the BTC.D data feed may lag during low-liquidity periods.
How The Components Work Together (The Mashup Justification):
The strategy uses a composite scoring system where each signal pathway contributes points:
Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high
Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse
Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation
Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse
Additional modifiers:
+5 points if volume impulse is present, -5 if absent
+5 points in velocity regime, -2 in compression regime
+5 points if cycle is aligned, -5 if counter-trend
A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled).
This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability.
HOW THE STRATEGY CALCULATES ENTRIES AND EXITS
Entry Logic:
1. Calculate current volatility regime from ATR%
2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume)
3. Evaluate each signal pathway and sum points
4. Check all filters (session, cycle, dominance, kill switch)
5. If composite score >= 55 AND all filters pass, generate entry signal
6. Calculate position size based on risk per trade and regime-adjusted stop distance
7. Execute entry with regime name as comment
Position Sizing Formula:
RiskCapital = Equity * (0.65 / 100)
StopDistance = ATR * StopMultiplier(regime)
RawQuantity = RiskCapital / StopDistance
MaxQuantity = Equity * (12 / 100) / Price
Quantity = min(RawQuantity, MaxQuantity)
Quantity = round(Quantity / 0.001) * 0.001
This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity.
Stop Loss Calculation:
Stop distance is ATR multiplied by a regime-specific multiplier:
Compression regime: 1.05x ATR (tighter stops because moves are smaller)
Expansion regime: 1.55x ATR (standard stops)
Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility)
Take Profit Calculation:
Target distance is ATR multiplied by regime-specific multiplier and base risk/reward:
Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR
Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR
Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR
Trailing Stop Logic:
When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime:
Compression regime: 1.1x base offset (looser trailing to avoid noise)
Expansion regime: 1.0x base offset (standard)
Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves)
The trailing stop only activates when it would be tighter than the initial stop.
Momentum Fail-Safe Exits:
The strategy closes positions early if momentum reverses:
Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA)
Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks
This prevents holding through momentum reversals even if stop loss hasn't been hit.
Kill Switch:
If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions.
HOW TO USE THIS STRATEGY
Step 1: Apply to Chart
Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended)
Ensure at least 200 bars of history are loaded for indicator stabilization
Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types)
Step 2: Understand the Visual Elements
EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward.
Background Color: Shows current volatility regime
- Indigo/dark blue = Compression (low volatility)
- Purple = Expansion (normal volatility)
- Magenta/pink = Velocity (high volatility)
Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias.
Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry.
Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics.
Step 3: Interpret the Dashboard
Regime: Current volatility classification (Compression/Expansion/Velocity)
ATR%: Normalized volatility as percentage of price
Long/Short Strength: Current composite signal scores (0-100)
Cycle Osc: Price deviation from 55-period EMA as percentage
Dominance: BTC.D slope and filter status
Position: Current position direction or "Flat"
Stop/Target: Current stop loss and take profit levels
Kill Switch: Status of drawdown protection
Volume Z: Current volume z-score
Impulse: Whether volume impulse condition is met
Step 4: Adjust Parameters for Your Needs
For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher
For more aggressive trading: Decrease to 50 (but expect more false signals)
For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58
For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties
To disable short selling: Uncheck "Enable Short Structure"
To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation"
STRATEGY PROPERTIES (BACKTEST SETTINGS)
These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication:
Initial Capital: $100,000
Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital.
Commission: 0.04% (commission_value = 0.04)
Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability.
Slippage: 1 tick
Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results.
Pyramiding: 1
Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure.
calc_on_every_tick: true
Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation.
calc_on_order_fills: true
Justification: The strategy recalculates immediately after order fills for faster response to position changes.
RISK PER TRADE JUSTIFICATION
The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable."
With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions.
The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions.
SAMPLE SIZE CONSIDERATIONS
For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires:
2-3 months of data during normal market conditions
1-2 months during high-volatility periods
3-4 months during low-volatility consolidation periods
The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold.
Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes.
STRATEGY DESIGN COMPROMISES AND LIMITATIONS
Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand:
Selectivity vs. Opportunity Trade-off
The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality.
Regime Classification Lag
The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator.
Indicator Parameter Sensitivity
The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future.
BTC Dominance Filter Limitations
The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it.
Backtest vs. Live Execution Differences
TradingView backtesting does not replicate actual broker execution. Key differences:
Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills
The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics
Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions
Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time
Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled
Market Condition Dependencies
This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions.
Cryptocurrency-Specific Risks
Cryptocurrency markets operate 24/7 without session boundaries. This means:
No natural "overnight" risk reduction
Volatility can spike at any time
Liquidity varies significantly by time of day
Exchange outages or issues can occur at any time
WHAT THIS STRATEGY DOES NOT DO
To be straightforward about limitations:
This strategy does not guarantee profits. Past backtest performance does not indicate future results.
This strategy does not predict the future. It reacts to current conditions based on historical patterns.
This strategy does not account for funding rates, which can significantly impact perpetual futures profitability.
This strategy does not model exchange-specific execution issues (partial fills, requotes, outages).
This strategy does not adapt to fundamental news events or black swan scenarios.
This strategy is not optimized for all market conditions. It may underperform during extended consolidation.
IMPORTANT RISK WARNINGS
Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability.
Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely.
This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor.
You are responsible for your own decisions. Before using this strategy with real capital:
Thoroughly understand the code and logic by reading the open-source implementation
Forward test with paper trading or very small positions for an extended period
Verify that commission, slippage, and execution assumptions match your actual trading environment
Understand that live results will differ from backtest results
Consider consulting with a qualified financial advisor
No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy.
OPEN-SOURCE CODE STRUCTURE
The strategy code is organized into these sections for readability:
Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization)
Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation
Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection
Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring
Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits
Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table
You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended.
- Made with passion by officialjackofalltrades
BE-Synergistic RSI Fusion Strategy█ Overview of the Script:
The Synergistic RSI Fusion Strategy is a sophisticated technical analysis tool designed to detect market turning points (reversals) and high-momentum breakouts. Unlike standard indicators that simply tell you to "Buy" or "Sell" based on a crossed line or overbought/oversold levels, this script builds a structural trade setup using zones. It waits for price action to confirm the signal before acting.
█ Why "Synergistic RSI Fusion"?:
The core engine of the indicator makes it all:
Fusion : Standard RSI only looks at the closing price relative to the previous closing price. This script calculates a comprehensive RSI that incorporates the candle's Highs and Lows.
Why is this more powerful? Imagine a "Hammer" candle where price drops significantly during the session but recovers to close near the open. A standard RSI sees almost no change because the Close is near the Open. However, Fusion RSI captures the full volatility of that dip and recovery, recognizing the massive "effort" and hidden battle between buyers and sellers that standard RSI completely misses.
Synergy : It combines this advanced momentum reading with ATR (Average True Range) to define volatility-based entry and exit zones. It blends momentum (RSI) with market structure (Price Action Zones).
█ How it Stands Unique:
The Core engine: Capturing the true efforts of the movement in price.
Multi-Peak Divergence: Instead of simple A-to-B divergence, this script uses a state machine to track local peaks by filtering out weak signals and waits for a significant disagreement between price and momentum.
The Zone System: It doesn't plot signals blindly. When divergence is found, it draws two "waiting rooms" (Green and Red zones). The trade is only taken if the candle closes inside one of these zones.
█ Divergence Trades: The Two-Way Setup:
A unique feature of this script is that when a Divergence signal appears, it generates two potential entry zones: a Bullish zone and a Bearish zone.
The Rational Behind the Two-Way Approach:
New traders often assume a Divergence means "Reversal." However, experienced traders know that Divergence simply means "Tension is building."
Scenario A (The Reversal): The RSI is screaming that momentum is dying, but price is pushing higher. If price respects the divergence, it will drop into the reversal zone. This is the standard divergence trade.
Scenario B (The Failure/Trap): sometimes, momentum is so strong that it blows through the divergence. If price ignores the RSI warning and breaks into the continuation zone, it signals that the trend is incredibly powerful.
Why Trade Both Ways?
By placing zones on both sides, the script essentially says: " I know a big move is coming because of the tension (Divergence), but I will let the market prove direction first. " This prevents you from " catching a falling knife " by trying to pick the exact top or bottom.
The Counter-Trading Logic (The Trap):
The script includes advanced logic for failed trades. If you enter a trade and the Stop Loss is hit immediately (a "fake-out"), the script adjusts the opposing zone by considering the liquidity of that particular candle.
Why? If the market traps Long traders and hits their stops, that selling pressure often fuels a massive move downwards. This logic allows the script to flip bias instantly and join the real move.
█ Continuation Trends: Why Price Runs After TP:
You may notice that often, after the Take Profit (TP) is hit, the price continues to run in that direction for a long time.
The "Breakout" Effect:
The Take Profit levels in this script are calculated using ATR (Average True Range). This is a conservative target based on recent average volatility.
Structural Breaks: The entry zones are usually positioned at key structural pivots. When price has enough energy to enter the zone and hit 100% of the ATR target, it effectively confirms a Break of Structure.
Momentum Release: The Divergence phase acts like a coiled spring. When that spring finally snaps (the trade entry), the release of energy is often far greater than just one ATR unit.
Psychology: When the TP is hit, it confirms the analysis was correct. This draws in other traders and algorithms who missed the initial entry, adding fuel to the fire and extending the trend.
█ Major Support & Resistance Zone:
The untested zones are typically the safe haven to place your SLs, which definitely act as Support & Resistance once the price approaches these zones.
VolumeValueArea (Double Ref Back)Description :
Overview This indicator is designed for traders who rely on Auction Market Theory and want to identify the market's true Fair Value with precision. It combines two independent Volume Profile instances into a single tool, allowing you to analyze market structure across multiple timeframes simultaneously (e.g., Daily and 4-Hour).
The unique feature of this script is the "Reference Back" logic. Instead of only seeing the current session's profile, you can project the Value Area (VA) and Point of Control (POC) from n periods ago onto the current session. This allows you to immediately see how price reacts to previous areas of high liquidity.
Key Features
Dual Profile Instances: Run two separate profiles (e.g., Profile 1 on 'Daily' and Profile 2 on '4 Hour') within one indicator to find confluence.
Historical Referencing (Offset): Display the levels of past sessions on the current chart.
Offset 0: Shows the developing levels of the current session.
Offset 1: Projects the finished levels of the previous session onto the current price action.
Active Line Projection: Automatically projects the relevant POC and Value Area lines into the future (infinite extension) for the currently active session, making it easy to spot upcoming support and resistance.
Stateless Session Precision: Uses a robust calculation method to ensure session breaks (like the 4-Hour starts) are mathematically precise, regardless of exchange timestamps.
Full Visual Control: Customize line styles (Solid, Dashed, Dotted), widths, and colors for POC, VAH, and VAL independently.
How to Use: Finding Fair Value Clusters
The primary goal of this script is to visualize where "Fair Value" overlaps across different timeframes. This is often called Clustering.
Setup Confluence: Set Profile 1 to a higher timeframe (e.g., Daily) and Profile 2 to a lower timeframe (e.g., 4 Hour or 1 Hour).
Analyze the Context: Set the Reference Back to 1. This allows you to trade the current session while seeing the key levels established in the previous session.
Identify Clusters: Look for areas where the Daily POC/Value Area aligns closely with the H4 POC/Value Area.
Strong Support/Resistance: When a Daily VAH aligns with a 4H POC, it creates a "Cluster" of interest.
Acceptance vs. Rejection: If price moves away from a cluster and creates a new value area, the market is seeking a new fair value. If it rotates around the cluster, fair value is established.
Settings Guide
Session Type: Choose between Daily, Weekly, Monthly, 4 Hour, 1 Hour, etc.
Reference Back (n Periods): Determines which past session's levels are drawn on the current bars. 0 = Current, 1 = Previous, 2 = The one before that.
Resolution: The granularity of the volume profile (higher = more precise).
Extend Active: If enabled, the lines for the current calculation period will extend infinitely to the right until a new session begins.
Styles: Configure independent line styles to visually distinguish between Profile 1 (e.g., solid lines) and Profile 2 (e.g., dashed lines).
Risk Disclaimer This tool is for chart analysis and educational purposes only. Past volume nodes do not guarantee future price reactions. Always manage your risk responsibly.
Jimbob rangethis is a range indication for round numbers should give you levels to trade off when price is in new all time highs where there is no price action to level off.
Open Interest Weighted Average Price [Arjo]Open Interest Weighted Average Price , or OIWAP , is a simple visual indicator that shows the average price of an asset based on changes in open interest .
Instead of using trading volume like VWAP, this indicator gives more weight to prices where new futures contracts are being added or removed . This helps highlight the price levels where traders are actively building or closing positions.
The indicator shows:
A main line that represents the average price weighted by open interest changes.
Upper and lower bands (standard deviation bands) that show how far the price moves away from this average.
OIWAP is mainly useful for NSE futures markets , where open interest data is available. It helps traders visually understand where most market participation and positioning are taking place relative to price .
Concepts:
Applies statistical concepts, including weighted averaging and standard deviation, to open interest data
Uses the absolute change in open interest as a weighting factor for each price point
Creates a dynamic average that reflects where significant open interest activity has occurred during a given period
Standard deviation bands are computed from this weighted average to show the statistical spread of prices around the OIWAP line
Resets calculations based on user-selected time periods (daily, weekly, monthly, or session-based)
Allows for fresh analysis at regular intervals
Similar concept to volume-weighted average price (VWAP) indicators, but uses open interest changes as the weighting component
Features:
Weighted Average: Calculates a central line based on contract activity.
Flexible Anchors: Allows users to choose the reset period for the calculation.
Volatility Bands: Displays outer and mid-bands to visualize price stretches.
Data Check: Built-in alerts notify you if Open Interest data is missing for a symbol.
Visual Zones: Color-coded areas help identify price location at a glance.
How To Use
When you add the indicator to your chart, you will see:
A main OIWAP line — the open-interest-weighted price level
Mid-bands around the line (±0.5 standard deviations)
Outer bands farther away (±2.0 standard deviations)
Shaded background zones between these lines
You can:
Change the reset period to see how the average behaves over different time ranges
Adjust the timeframe for open-interest data
Turn mid-bands on or off
Adjust colors and styles to improve readability
Conclusion
The OIWAP indicator serves as an educational tool for visualizing the relationship between price movements and open interest activity in futures markets
Presents a weighted average price line along with statistical deviation bands
Offers a structured framework for chart analysis
Customizable settings allow users to adapt the display to their analytical preferences
Maintains focus on visual interpretation rather than directional predictions
Functions as a supplementary charting overlay that may complement other forms of technical and fundamental analysis
Disclaimer
This indicator is for educational and visual-analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
XAUUSD 240m Pivot PointsThis Indicator helps you to automatically find pivot point S1 S2 S3 R1 R2 and R3 for each and every candle that occurs in 4 hr tf
HMA 9/50 Crossover + RSI 50 Filter1. The Core Indicators
HMA 9 (Fast): Acts as the primary trigger line. Its unique calculation minimizes lag compared to standard moving averages, allowing for faster entries.
HMA 50 (Slow): Defines the medium-term trend direction and acts as the "anchor" for crossover signals.
RSI 14: Serves as a "momentum gate." Instead of traditional overbought/oversold levels, we use the 50 midline to confirm that the directional strength supports the crossover.
2. Entry Conditions
Long Entry: Triggered when the HMA 9 crosses above the HMA 50 AND the RSI is greater than 50.
Short Entry: Triggered when the HMA 9 crosses below the HMA 50 AND the RSI is less than 50.
3. Execution & Reversal
This strategy is currently configured as an Always-in-the-Market system.
A "Long" position is automatically closed when a "Short" signal is triggered.
To prevent "pyramiding" (buying multiple positions in one direction), the script checks the current position_size before opening new entries.
How to Use
Timeframe: Optimized for 3-minute (3m) candles but can be tuned for 1m to 15m scalping.
Settings: Use the Inputs panel to adjust HMA lengths based on the volatility of your specific asset (e.g., shorter for stable stocks, longer for volatile crypto).
Visuals:
Aqua Line: HMA 9
Orange Line: HMA 50
Green Background: Bullish RSI Momentum (> 50)
Red Background: Bearish RSI Momentum (< 50)
Risk Disclosure
Whipsaws: This strategy is likely to underperform in sideways markets.
Backtesting: Past performance does not guarantee future results. Always test this strategy in the Strategy Tester with appropriate commission and slippage settings before live use.
Breakout Liquidity Strategy//@version=5
indicator("Breakout Liquidity Strategy", overlay=true)
// ===== Inputs =====
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwap = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > ta.highest(high, 20)
aboveVWAP = close > vwap
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT", style=shape.labelup,
location=location.belowbar, color=color.new(color.green, 0), text="🚀")
plot(vwap, color=color.orange, linewidth=2, title="VWAP")
Realtime Buy/Sell/Delta/Volume + VTrend/HTF/ROCRealtime Buy/Sell/Delta/Volume + VTrend/HTF/ROC Table
A. Description:
This indicator provides a powerful, real-time table for traders, showing the latest buy/sell volumes, volume delta, volume trend (VTrend), higher timeframe (HTF) trend, and price rate-of-change (ROC) with visual arrows. It helps traders quickly assess market momentum, detect spikes in volume or price action, and align trades with higher timeframe trends.
Features:
1. Buy / Sell Volumes: Calculates buy and sell volume per candle based on close position within the high-low range.
2. Volume Delta (%): Shows the net difference between buy and sell volume as a percentage of total volume.
3. VTrend (Volume Trend): Compares the current candle’s close against the average of the previous N candles (default 4) and displays an arrow (↑/↓) for trend direction.
4. HTF Trend: Uses a higher timeframe EMA (default 1H, EMA 14) to show the trend direction with an arrow, helping align with larger market moves.
5. ROC (Rate of Change): Calculates price change relative to the SMA of previous N candles (default 14) and shows a percentage with an arrow for quick visual reference.
B. Real-time Alerts:
Alert 1: Bullish/Bearish volume spike in real-time.
Alert 2: MACD 15-min crossover confirmed by 1H HTF trend.
Alert 3: Delta % changes more than ±5% compared to previous candle.
Alert 4: ROC changes more than ±1% in real-time.
Customizable Table: Number of rows, font size, table position, and highlight for the current candle.
Totals Row: Displays cumulative totals for buy, sell, volume, and delta % at the bottom of the table.
C. How to Use:
1. Use the table to monitor live market activity in real-time.
2. Look for VTrend and HTF alignment with MACD/volume spikes to identify high-probability trades.
3. Use ROC to confirm price momentum or detect sudden reversals.
4. Set alerts to get instant notifications for volume or price changes.
D. Benefits:
1. Instant visualization of market strength and momentum.
2. Combines multiple indicators in one compact, easy-to-read table.
3. Real-time alerts help you act quickly without staring at charts constantly.
5. Perfect for day traders and scalpers who want to combine volume, delta, trend, and momentum analysis in one tool.
Wedge Green SquadWedge GS automatically detects confirmed swing highs and lows and draws clean wedge trendlines directly from the true pivot bars. The indicator uses non-repainting pivots and extends the lines forward to highlight contracting price structures, potential breakouts, and compression zones.
Designed for traders who value structure over noise, it works best on higher timeframes and pairs naturally with support, resistance, and volume analysis. This tool focuses on clarity and reliability, not prediction.
NQ Command Center [EOD Predictor]This is a sophisticated Macro-correlated Dashboard designed specifically for trading NQ (Nasdaq 100). It attempts to predict how the daily candle will close (Green or Red) by combining Price Action (Market Structure) with External Market Drivers (Yields, Volatility, Dollar, and Breadth).
How This Script Works
The script assigns a "Score" to current market conditions. The higher the score, the more bullish the prediction. The lower the score, the more bearish.
1. The "Structure" Score (Price Action) It looks at the Daily High/Low (PDH/PDL) and recent daily trend:
Bullish (+1): We are making Higher Highs/Higher Lows, or price is holding in the top 33% of yesterday's range.
Breakout (+2): Price has broken above the Previous Daily High (PDH).
Bearish (-1/-2): We are making Lower Highs, or price has broken below the Previous Daily Low (PDL).
2. The "Macro" Score (External Data) It pulls data from 5 external tickers to see if the environment supports a move:
ADDQ (Breadth): If > 0, more stocks are advancing than declining (Bullish).
VXN (Volatility): If falling, fear is decreasing (Bullish).
DXY (Dollar) & US10Y (Yields): If these are dropping, it is usually good for Tech/Nasdaq (Bullish).
CVD (Volume): Estimates if volume is dominated by buyers or sellers.
3. The Prediction (The Output) It sums these scores.
Total Score ≥ 4: "STRONG GREEN CLOSE 🚀" (High confidence Longs)
Total Score ≤ -4: "STRONG RED CLOSE 🩸" (High confidence Shorts)
Near 0: "CHOP / NEUTRAL" (Avoid trading or take quick scalps).
How to Use It Effectively
Symbol: Open a chart for NQ1! (Nasdaq Futures) or NDX.
Timeframe: This is designed for Intraday trading. Use 5m, 15m, or 1h charts. (Do not use on Daily chart, as the table lines up intraday data against daily history).
The Dashboard: Look at the table in the top right.
Focus on "AI Forecast": If it says STRONG GREEN, look for Long setups (pullbacks to support).
Check Confidence: If Confidence is "LOW", the macro data might be conflicting with price action (e.g., Price is going up, but Volume is selling). Be careful.
The Lines: The script plots Green (PDH) and Red (PDL) lines on your chart.
These are key reaction points. If price breaks the Green line, the "Live Status" on the dashboard will switch to BREAKOUT.
HTF Candles on Lower Timeframes (Manual OHLC)Hi everyone, this indicator is designed to plot higher timeframes candles on the chart. Here are the details:
The data is built directly from OHLC values at specific time intervals, instead of using request.security.
It supports 1H / 2H / 4H / 8H / 1D higher timeframes, and can be viewed on lower timeframes such as 5m / 10m / 15m / 30m.
The main idea behind this chart is to serve as a foundation for building other indicators that need to operate on higher timeframes while still being visualized on lower timeframes.
Feel free to share your feedback or ideas for improvement in the comments below.
Mag 7 EMA Trend MonitorDashboard Layout:
1. Symbol Column: The Mag 7 tickers.
2. Trend Column: Visual Bull/Bear status.
3. Strength Column: Percentage distance from the mean (EMA 21).
4. Aggregate Row: Summary of market breadth and average sector pull/push.
How to Interpret the Trend Strength:
• Positive %: The stock is trading above its 21 EMA. A very high number (e.g., $+15\%$) might suggest the stock is "overbought" or overextended.
• Negative %: The stock is trading below its 21 EMA. A very low number (e.g., $-10\%$) might suggest it is "oversold."
• Avg Strength: This gives you a bird's-eye view of the sector. If the aggregate is "5 Up / 2 Down" but the Avg Strength is only $+0.5\%$, the trend is weak and might be exhausting.
"Pro-tips" for tool:
• Multi-Timeframe Correlation: Try setting the Dashboard Timeframe to "D" (Daily) while trading on a "5m" or "15m" chart. This allows you to see if your intraday trade is aligned with the "Big Money" trend of the week.
• The 4/7 Rule: Watch for that Aggregate row to hit 4 out of 7. In the Mag 7, since these stocks carry so much weight in the SPY and QQQ, a shift to a majority (4+) often precedes a move in the overall market indices.
E9 MTF Candle Array E9 MTF Candle Array plots up to six selectable higher-timeframe candle sets (e.g., H1/H4/D1/W1) as “mini candles” stacked to the right of your chart for fast multi-TF context. For each HTF, it also draws a shaded High–Low range box on the main chart that spans the candle’s time window and updates in real time as the current HTF candle forms, then “locks” the prior box when a new HTF candle opens. Optional features include HTF labels and countdown timers, Open/Close/High/Low trace lines with price labels, day/interval markers, and imbalance highlighting (FVG/VI) on the displayed HTF candle array.
*Work in progress.
MES ORB Bulletproof + PSAR + SMA200 + BB(21) by PantelisMES ORB Bulletproof + PSAR + SMA200 + BB(21) by Pantelis
Price Log Regression (by Currency)1. Introduction
This indicator draws a logarithmic regression line directly on top of the price candles, showing the long‑term “average” growth path of any asset in the currency you select (for example USD). It is inspired by popular log‑regression studies used on assets like Bitcoin, where price is transformed to a log scale and a straight regression line is used to visualize macro trends and diminishing returns over time.
2. Key Features
- Currency‑aware trend line : Before calculating the regression, the script converts the asset’s price into the chosen currency, so the line represents the trend of “price in USD”, not just the original quote on the chart.
- Logarithmic regression : The script takes the logarithm (base 10) of the converted price, applies a linear regression to that log series, and then converts the result back to normal price; this produces a smooth line that follows the exponential character of many long‑term price moves.
- On‑chart overlay : Only the regression line is plotted and `overlay` is enabled, so the line appears directly over your existing candles, keeping the chart clean and making it easy to compare current price versus its long‑term log‑trend in the selected currency.
3. How to Use
- Add the script to any symbol and timeframe, then choose the Currency input (for example set it to “USD” if you want to see the trend of that asset measured in Dolars).
- Adjust the Regression length input: longer lengths give a slower, smoother macro line, while shorter lengths react more to recent price action; use what best matches the horizon you are analysing.
- Read the line as an analytical tool, not as guaranteed support or resistance: if price is far above the line, it may indicate an extended move relative to its long‑term path in that currency; if it is far below, it may indicate a cheaper zone relative to that same path, always remembering that this is educational analysis and not financial advice.
Note: This indicator focuses on long‑term logarithmic trends rather than short‑term noise, it is best suited for longer‑horizon approaches such as swing trading and position trading, rather than intraday scalping.






















