CISD by tncylyvCISD (Change in State of Delivery) by tncylyv
The CISD (Change in State of Delivery) indicator is a precision price action tool designed to help traders identify key reversal points based on ICT concepts. Unlike standard support and resistance indicators, this script tracks the specific algorithmic opening prices responsible for the current delivery state and highlights when that state has been invalidated.
🧠 What is CISD?
Change in State of Delivery refers to the moment price shifts from a Buy Program to a Sell Program (or vice versa).
• Bearish CISD (-CISD): Occurs when price closes below the opening price of the up-candle sequence that created the most recent High.
• Bullish CISD (+CISD): Occurs when price closes above the opening price of the down-candle sequence that created the most recent Low.
This indicator automates the identification of these levels, tracking the "Active" reference price in real-time and marking historical reversals.
🚀 Key Features
1. Continuous Active Level Tracking:
o The indicator plots a continuous, stepped line (The "Active CISD") that follows the market structure. As the market expands (makes new highs or lows), the line updates to the new valid reference point.
o This allows you to see the current invalidation level at a glance without cluttering the chart with old lines.
2. Triggered Reversal Lines:
o When a candle closes beyond the Active CISD level, a "Triggered" line is drawn to mark the exact price and location of the reversal.
o These lines serve as excellent historical references for potential Order Blocks or Breakers later in time.
3. Smart Filtering:
o You can choose to display Both Bullish and Bearish setups, or filter to see Bullish Only or Bearish Only. This is ideal for traders who have a specific daily bias and want to remove noise from the chart.
4. Clean & Customizable:
o Fully customizable colors for Bullish and Bearish events.
o Options to toggle Labels, adjust Line Width, and change Line Styles (Solid, Dashed, Dotted).
o "No Continuation" Logic: This version focuses purely on major reversals (Change in State) rather than minor pullbacks, keeping your chart clean.
⚙️ Settings Guide
• Show Active CISD Level: Toggles the continuous stepped line representing the current threshold for a reversal.
• Triggered CISD Display: Choose between Both, Bullish Only, Bearish Only, or None. This controls the historical lines left behind after a reversal occurs.
• Visual Settings: Adjust line width, label sizes, and font styles to match your chart aesthetic.
• Colors: Customize the Shrek Mode (Bullish) and Blood Bath (Bearish) colors.
⚠️ A Note for Developers
This indicator is open source! If you are a Pine Script developer, feel free to check the source code. I’ve utilized some... creative variable naming conventions to make the coding experience more entertaining. Enjoy the read!
________________________________________
Risk Disclaimer: This tool is for educational purposes and market analysis. It does not guarantee future performance. Always manage your risk.
Educational
Trend Gazer: Unified ICT Trading System with Signals# Trend Gazer User Guide (English)
## 📖 Table of Contents
1. (#about-this-indicator)
2. (#quick-start-guide-3-steps)
3. (#detailed-usage)
4. (#settings-customization)
5. (#why-combine-multiple-features)
6. (#faq)
---
## About This Indicator
**Trend Gazer** is an integrated trading system designed to read institutional order flow like professional traders.
### 🎯 3 Problems This Indicator Solves
#### ❌ Problem 1: Too Many Indicators = Information Overload
```
Normal: RSI + MACD + Moving Average + Bollinger Bands... → Cluttered chart
Solution: All integrated into ONE indicator → Clean & Clear
```
#### ❌ Problem 2: Single Indicators Give False Signals
```
Normal: Enter based on RSI alone → Frequent stop-outs
Solution: Structure × Zone × Momentum multi-angle confirmation → Higher win rate
```
#### ❌ Problem 3: Unclear Entry Timing
```
Normal: Know the trend but don't know WHERE to enter
Solution: LS Bounce Signal shows EXACT entry points
```
---
## Quick Start Guide (3 Steps)
### 🚀 STEP 1: Confirm Trend Direction
**Look for CHoCH (Change of Character)**
```
📍 (1.CHoCH) label = Uptrend starting
📍 (a.CHoCH) label = Downtrend starting
```
**Important**: Wait for CHoCH! No direction without it.
---
### 🎯 STEP 2: Find Entry Points
**Wait for LS Bounce Signal (green/red labels)**
```
🟢 "Long@ HL only" label → LONG (buy) candidate
🔴 "Short@ LH only" label → SHORT (sell) candidate
```
**Label text color meaning**:
- **White text**: Clean trend (high confidence)
- **Yellow text**: Trend transition (moderate caution)
---
### 🛡️ STEP 3: Final Confirmation with Bar Color
**Bar color shows market state**
```
🔴 Red bar: BUY zone (buying is favored)
🟢 Green bar: SELL zone (selling is favored)
⚪ White bar: Neutral (wait and see)
```
---
## Detailed Usage
### 📊 Understanding the Chart
#### 1. Labels (Market Structure Changes)
```
(1.CHoCH) / (a.CHoCH) : Trend reversal
(2.SiMS) / (b.SiMS) : Momentum confirmation
(3.BoMS) / (c.BoMS) : Trend continuation
```
#### 2. Boxes (Institutional Order Zones)
```
📦 Blue boxes: Bullish OB (buy orders accumulated)
📦 Red boxes: Bearish OB (sell orders accumulated)
📦 Black transparent boxes: Liquidity Sweep
```
**How to use Order Blocks**:
- Function as support/resistance
- Signals within OB have higher reliability
- Use for stop-loss placement
#### 3. Lines (Trends and Support/Resistance)
```
━━━ Red lines: EMA20, EMA50, EMA100 (short to mid-term trends)
━━━ Blue lines: 60min NPR/BB bands (support/resistance)
```
#### 4. Bar Colors (Filter 6)
```
Bar color = Real-time market state
🔴 Red: Buying is favored
🟢 Green: Selling is favored
⚪ White: Neutral
```
---
### 🎯 Practical Trading Flow
#### 📍 Preparation Phase
```
1. Open chart (recommended: 5min or 15min)
2. Add Trend Gazer to chart
3. Start in observation mode (don't enter yet)
```
#### 📍 Entry Decision
```
✅ CHoCH confirms direction → Uptrend starting
✅ LS Bounce Signal "Long@ HL only" appears
→ Entry point candidate
✅ Bar turns red → Market supports buying
→ Entry decision 🎯
✅ Place stop below nearest Order Block (blue box)
```
#### 📍 Exit Decision
```
🔴 Opposite LS Bounce Signal "Short@ LH only" appears
→ Consider taking profit
🔴 Bar turns green
→ Potential trend reversal, review position
🔴 Stop loss hit
→ Exit with loss
```
---
### 💡 Tips for Higher Win Rate
#### ✅ DO's
```
1. Enter AFTER CHoCH appears
2. Prioritize white-text LS Bounce Signals
3. Check higher timeframe (1H or Daily) trend
4. Emphasize signals within Order Blocks
5. Use bar color as final confirmation
```
#### ❌ DON'Ts
```
1. Enter before CHoCH → No clear direction
2. Enter only on yellow text → Unstable transition period
3. Ignore bar color → Trading against market state
4. Don't check Order Blocks → Unclear support/resistance
5. Enter same direction consecutively → Overtrading
```
---
## Settings Customization
### 🔧 How to Open Settings
```
1. Right-click on indicator name on chart
2. Select "Settings..."
3. Settings panel opens
```
---
### 📋 Recommended Setting Profiles
#### 🔰 Beginner Settings (Simple)
**Goal**: Reduce noise, show only important signals
```
【FILTERS】
✅ Bonus Filter: ON
✅ Filter 6 (OB/BB/NPR Zone Filter): ON
❌ Direction Filter: OFF
❌ Liquidation Reversal Filter: OFF
❌ ICT Market Structure Filter: OFF
❌ EMA Trend Filter: OFF
❌ OB/FVG Filter 1: OFF
❌ OB/FVG Filter 2: OFF
【SIGNALS】
✅ Signal 0 (Bonus): ON
✅ Signal 1 (VWC Change): ON
✅ Signal 2 (Liq Rev): ON
❌ Signal 3 (LS): OFF (complex alone)
❌ Signal 4 (LS Break): OFF
❌ Signal 5 (OB+LS NPR): OFF
❌ Signal 6 (OB+LS EMA): OFF
【LS BOUNCE SIGNAL】
✅ Exclude EMA50 from touch detection: OFF
❌ Only show when EMA fills are mixed: OFF
```
**What happens with this setup**:
- Only Bonus (black background) signals display
- LS Bounce Signals clearly visible
- Noisy signals filtered out
---
#### 💪 Intermediate Settings (Balanced)
**Goal**: Enable key filters for better accuracy
```
【FILTERS】
✅ Bonus Filter: ON
✅ Filter 6 (OB/BB/NPR Zone Filter): ON
✅ ICT Market Structure Filter: ON
❌ Direction Filter: OFF
❌ Liquidation Reversal Filter: OFF
❌ EMA Trend Filter: OFF
❌ OB/FVG Filter 1: OFF
❌ OB/FVG Filter 2: OFF
【SIGNALS】
✅ Signal 0 (Bonus): ON
✅ Signal 1 (VWC Change): ON
✅ Signal 2 (Liq Rev): ON
✅ Signal 3 (LS): ON
❌ Signal 4 (LS Break): OFF
❌ Signal 5 (OB+LS NPR): OFF
❌ Signal 6 (OB+LS EMA): OFF
【LS BOUNCE SIGNAL】
✅ Exclude EMA50 from touch detection: OFF
❌ Only show when EMA fills are mixed: OFF
```
**What happens with this setup**:
- Signals only after CHoCH (trend confirmed)
- Filter 6 changes bar colors
- Liquidity Sweeps also displayed
---
#### 🚀 Advanced Settings (Full Utilization)
**Goal**: Master all features
```
【FILTERS】
✅ Bonus Filter: ON
✅ Filter 6 (OB/BB/NPR Zone Filter): ON
✅ ICT Market Structure Filter: ON
✅ Direction Filter: ON
✅ EMA Trend Filter: ON
❌ Liquidation Reversal Filter: OFF (optional)
✅ OB/FVG Filter 1: ON
✅ OB/FVG Filter 2: ON
【SIGNALS】
✅ All ON
【LS BOUNCE SIGNAL】
✅ Exclude EMA50 from touch detection: ON (reduce EMA50 noise)
✅ Only show when EMA fills are mixed: ON (show only transition zones)
```
**What happens with this setup**:
- Fewer signals (precision-focused)
- Multiple confirmations greatly reduce false signals
- Only signals confirmed by trend, momentum, and zones
---
### 🎨 Display Customization
#### Change Label Size
```
【BUY/SELL SIGNAL APPEARANCE】
→ "BUY/SELL Label Size"
→ Choose from: tiny / small / normal / large / huge
Recommended: small (default)
```
#### Order Block Display Settings
```
【ORDER BLOCK (OB) SETTINGS】
✅ Show Current TF OB: Current timeframe OB
✅ Show 1min OB: 1-minute OB
✅ Show 5min OB: 5-minute OB
✅ Show 15min OB: 15-minute OB
Recommended: Only 15min OB ON (simple)
```
#### Liquidity Sweep Display
```
【LIQUIDITY SWEEPS SETTINGS】
→ "Sweep Length": Sensitivity (small=frequent, large=selective)
→ "Sweep Option": Standard / Maximum
Recommended: Length=40, Option=Standard
```
#### NPR/BB Bands Display
```
【NPR (NON-REPAINT STDEV) SETTINGS】
✅ Display 60min NPR Bands: 60-minute support/resistance
❌ Display Current TF NPR Bands: Current timeframe (optional)
Recommended: Only 60min ON
```
---
### ⚙️ Advanced Settings
#### Fine-tune Filter 6
```
【FINAL FILTERS】
→ "Enable Filter 6 (OB/BB/NPR Zone Filter)"
When ON:
- Bars color-coded red/green/white
- Behavior at OB, NPR/BB touches controlled
```
#### LS Bounce Signal Adjustments
```
【LS BOUNCE SIGNAL】
→ "Exclude EMA50 from touch detection"
OFF: Detect NPR/BB/EMA50 (all 3)
ON: Detect NPR/BB only (exclude EMA50)
→ "Only show when EMA fills are mixed"
OFF: Show all LS Bounce Signals
ON: Show only transition zone signals (yellow text)
```
#### MTF (Multi-Timeframe) Control
```
【ORDER BLOCK (OB) SETTINGS】
→ "Disable MTF on 1hr+ Charts"
ON: Disable MTF on 1H+ (save memory)
OFF: MTF enabled on all timeframes
Recommended: ON (unnecessary on larger timeframes)
```
---
### 🎯 Purpose-Based Configuration Guide
#### 🔍 Goal 1: Reduce Signal Count
```
✅ Bonus Filter: ON
✅ ICT Market Structure Filter: ON
✅ Filter 6: ON
✅ All Signals OFF, only Signal 0 ON
```
#### 🔍 Goal 2: Get More Signals
```
❌ All Filters OFF
✅ All Signals ON
```
#### 🔍 Goal 3: Trend Following Only
```
✅ ICT Market Structure Filter: ON
✅ Direction Filter: ON
✅ EMA Trend Filter: ON
```
#### 🔍 Goal 4: Counter-Trend Trading
```
✅ LS Bounce Signal: ON
✅ Filter 6: ON
❌ ICT Market Structure Filter: OFF
```
#### 🔍 Goal 5: Day Trading (5-15min charts)
```
✅ Show 15min OB: ON
✅ Display 60min NPR Bands: ON
✅ LS Bounce Signal: ON
❌ Show 1min/5min OB: OFF
```
#### 🔍 Goal 6: Scalping (1-5min charts)
```
✅ Show 5min OB: ON
✅ Show 15min OB: ON
✅ Display 60min NPR Bands: ON
✅ All Signals: ON
```
---
### 💾 Saving and Loading Settings
#### Save Settings
```
1. Click "..." in top-right of Settings screen
2. Select "Save as default"
→ Same settings auto-applied next time
```
#### Reset Settings
```
1. Click "..." in top-right of Settings screen
2. Select "Reset settings"
→ Return to default settings
```
---
## Why Combine Multiple Features?
### 🎯 Problem: Single Indicator Limitations
Common trader problems:
```
❌ RSI alone → Trade against trend, lose
❌ Moving Average alone → Late entry timing
❌ Support/Resistance alone → Caught by false breakouts
```
**Markets are complex**. One angle isn't enough.
---
### 💡 Solution: Multi-Angle Integrated Approach
#### 1️⃣ Structure × Zone × Momentum
```
📐 Structure (ICT CHoCH)
→ "Which direction is likely?"
📦 Zone (OB/NPR/BB)
→ "Where will price react?"
💨 Momentum (EMA/VWC)
→ "Is there momentum now?"
```
**When all 3 align = Highest win-rate timing**
---
#### 2️⃣ Multi-Timeframe Analysis
```
Big picture: Confirm Daily direction
Medium-term: Check 1H Order Blocks
Short-term: Time entry on 5min
```
**Short-term entries aligned with higher timeframes = Better win rate**
---
#### 3️⃣ Understanding Liquidity
```
🎣 Institutional strategy:
1. Intentionally move price opposite to stop out retail
2. Then, move in real direction
💡 Liquidity Sweep = Visualize this "trap"
→ Read institutional order flow
```
---
### 🧠 Integration Examples
#### Case 1: RSI Alone vs Integrated System
**Scenario**: RSI at 30 (oversold)
```
❌ RSI-only decision:
→ "Buy!"
→ But downtrend continues, loss 😢
✅ Trend Gazer:
CHoCH check → Still downtrend ❌
Order Block → In Bearish OB ❌
LS Bounce → SHORT signal only ❌
→ Skip or SHORT
→ Avoid loss ✅
```
**Result**: Multiple filters block wrong entry
---
#### Case 2: LS Bounce Signal 2-Stage Logic
**Scenario**: Price touches 60min NPR lower band
```
🔍 Traditional method:
Touched → Buy!
→ But price continues down 😢
✅ Trend Gazer:
Stage 1: NPR touch + red bar → Flag ON
Stage 2: EMA20 crosses above EMA50 → Confirm bounce
→ Now "Long@ HL only" displays
→ Entry → Success ✅
```
**Result**: Not just "touch" but "touch + bounce confirmation" improves accuracy
---
### 🎓 Progressive Learning Design
This indicator is designed for **beginners to advanced**:
```
📖 Beginner (Month 1):
Use only CHoCH + LS Bounce Signal
→ Learn trend and entry points
📖 Intermediate (Months 2-3):
Add Order Block + Bar Color
→ Learn support/resistance and filtering
📖 Advanced (Month 6+):
Master all features
→ Read institutional order flow
```
**Ultimate goal**: Indicator becomes confirmation tool. Your market sense becomes primary.
---
### 🔬 Technical Advantages
#### 1. Non-Repaint STDEV (NPR)
```
Normal Bollinger Bands:
→ Past data changes (repaints)
→ Inaccurate backtesting
NPR:
→ Past data doesn't change (non-repaint)
→ Reliable verification possible
```
#### 2. 2-Stage Signal Logic
```
Traditional: Condition met → Immediate signal
→ Many false signals
Trend Gazer: Condition1 → Flag ON → Condition2 → Signal
→ Confirmation step improves accuracy
```
#### 3. Alternating Filter
```
Problem: Same-direction signals spam
→ Overtrading
Solution: LONG → SHORT → LONG alternating only
→ Prevent unnecessary entries
```
---
### 💎 Conclusion: Why Integration?
```
Single indicator = "Partial truth"
Integrated system = "3D market perspective"
```
**Markets are multifaceted**. One angle isn't enough.
Trend Gazer **integrates multiple screens pros watch simultaneously into ONE**,
allowing beginners to read charts with institutional perspective.
---
## FAQ
### ❓ Q1: Which timeframe is best?
**A**: Depends on trading style
```
Scalping: 1min ~ 5min
Day Trading: 5min ~ 15min
Swing: 1H ~ 4H
```
**Important**: LS Bounce Signal only works on 30min and below.
---
### ❓ Q2: Too many signals, confused
**A**: Enable filters
```
【Recommended Settings】
✅ Bonus Filter: ON
✅ Filter 6: ON
✅ ICT Market Structure Filter: ON
→ Show only Signal 0
```
This significantly reduces signal count.
---
### ❓ Q3: No CHoCH appearing, what to do?
**A**: Wait or check higher timeframe
```
Method 1: Wait for CHoCH (recommended)
Method 2: Check higher timeframe (e.g., Daily) for trend
Method 3: Disable ICT Filter (not recommended)
```
**When trend is unclear, sitting out is also strategy**.
---
### ❓ Q4: LS Bounce Signal not appearing
**A**: Checkpoints
```
1. Are you on 30min or below chart?
→ Doesn't show on 1H+
2. Are NPR/BB bands displayed?
→ Check Settings "Display 60min NPR Bands"
3. Is EMA50 excluded?
→ If "Exclude EMA50" is ON, EMA50 signals won't show
```
---
### ❓ Q5: Bar color not changing?
**A**: Check Filter 6
```
Settings → FINAL FILTERS
→ Confirm "Enable Filter 6 (OB/BB/NPR Zone Filter)" is ON
If ON but still not changing:
→ Current price may be outside OB/NPR/BB zones
```
---
### ❓ Q6: Too many Order Blocks, hard to see
**A**: Narrow down displayed OBs
```
Settings → ORDER BLOCK (OB) SETTINGS
Recommended:
❌ Show Current TF OB: OFF
❌ Show 1min OB: OFF
❌ Show 5min OB: OFF
✅ Show 15min OB: ON (only this)
```
---
### ❓ Q7: How to improve win rate?
**A**: Thorough multiple confirmations
```
Checklist:
✅ CHoCH appeared
✅ LS Bounce Signal (white text)
✅ Bar color matches (red bar=LONG, green bar=SHORT)
✅ Signal within Order Block
✅ Aligns with higher timeframe trend
Enter ONLY when all align
```
---
### ❓ Q8: Want to practice on demo
**A**: Recommended practice method
```
Week 1: Observation only
→ Watch signals and chart movement
→ Resist entering
Weeks 2-3: Keep records
→ Screenshot when signal appears
→ Record subsequent movement
Week 4+: Start demo trading
→ Start with small amounts
→ Continue keeping records
```
---
### ❓ Q9: Are there alert features?
**A**: Yes, multiple alerts available
```
Setup method:
1. Right-click indicator on chart
2. Select "Add Alert..."
3. Choose from:
- ANY ALERT: BUY/SELL Signals
- BUY ONLY ALERT
- SELL ONLY ALERT
- MS UP / MS DOWN
- BAR COLOR: RED / LIME
- LS BOUNCE: LONG / SHORT Signal
```
---
### ❓ Q10: Works on other markets?
**A**: Yes, works on all markets
```
✅ Cryptocurrency (BTC, ETH, etc.)
✅ Forex (EUR/USD, USD/JPY, etc.)
✅ Stocks (individual stocks, indices)
✅ Futures (oil, gold, etc.)
```
Works on any market with price and volume data.
---
## 📋 Disclaimer
### ⚠️ Important Notice
This indicator is for **educational and informational purposes only**.
```
❌ NOT investment advice
❌ Does NOT guarantee profits
❌ Past results do NOT guarantee future performance
```
### Risk Warning
```
⚠️ Trading involves substantial risk
⚠️ Only trade with funds you can afford to lose
⚠️ Practice extensively on demo account before live trading
⚠️ Make your own informed decisions and act at your own risk
```
---
## 📞 Support
### Feedback & Questions
Feel free to ask questions in TradingView comments section.
### Bug Reports
Please report with specific details (timeframe, symbol, screenshots).
---
**Author**: rasukaru666
**License**: Mozilla Public License 2.0
**Last Updated**: December 2025
**Version**: Latest
---
**Thank you for using Trend Gazer!**
**Happy Trading! 📈**
---------------
FVG Supply and DemandThis indicator combines powerful tools into one:
• Supply & Demand Zones built from swing highs/lows with ATR-based zone width, POI markers, and Break-of-Structure (BOS) detection.
• Volumized Fair Value Gaps (FVGs) showing bullish/bearish gaps, total volume inside the gap, volume distribution, optional zone-combining, and auto-cleanup.
• Swing TSL Line and manage bar color.
It helps visualize key imbalance areas, institutional zones, and price reaction points.
Credits to the Author.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice.
Past results do not guarantee future outcomes.
Use responsibly and in conjunction with your market analysis.
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow.
The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks).
🔹 Features
🔸 Dynamic Lookback with Decay
- The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback.
- Higher decay keeps more history; lower decay emphasizes the most recent flow.
- The profile continuously adapts as new bars are printed.
🔸 Price-Bucketed Flow Map
Each bucket accumulates:
- Sell Flow (sell pressure)
- Buy Flow (buy pressure)
- Stealth Flow (low-volume price movement)
- Box width at each bucket is proportional to the relative intensity of that component.
🔸 Stealth Flow (Low-Volume Price Movement)
- Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume.
- Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions.
🔸 POC & 70% Value Area (VA)
- Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback.
- Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included.
- POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area.
🔸 Market Profile Shape Detection
Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution.
Classifies structure as:
- D-Shape (Balanced)
- P-Shape (Short Covering)
- b-Shape (Long Liquidation)
- B-Shape (Double Distribution)
Displays a shape label with color coded bias for quick auction context interpretation.
🔸 Imbalance Zones & Absorption
Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio.
Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume.
Extends these levels into horizontal zones, marking potential support/resistance and trap areas.
Bullish Imbalance Zone :
Bearish Imbalance Zone :
Absorption Zone :
🔸 Range Context & On-Chart Legend
Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count.
A bottom-right legend summarizes:
- Color keys for Buy / Sell / Stealth
- POC / VA status
- Bullish vs. Bearish dominance percentage
- Profile shape classification
- Imbalance and Absorption conventions
🔹 Calculations
1. Dynamic Lookback & Price Buckets
int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory)
float priceHigh = ta.highest(high, N)
float priceLow = ta.lowest(low, N)
float bucketSize = (priceHigh - priceLow) / bucketCount
The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information.
2. Exponentially Decayed Volume Allocation
addValue(array profile, float weight, float minPrice, float maxPrice) =>
for j = 0 to bucketCount - 1
float bucketMin = priceLow + j * bucketSize
float bucketMax = bucketMin + bucketSize
float overlapMin = math.max(minPrice, bucketMin)
float overlapMax = math.min(maxPrice, bucketMax)
float overlapRange = overlapMax - overlapMin
if overlapRange > 0
profile.set(j, profile.get(j) * decayFactor + weight * overlapRange)
This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint.
3. POC and 70% Value Area
array totalProfile = array.new(bucketCount, 0)
for j = 0 to bucketCount - 1
float total = sellProfile.get(j) + buyProfile.get(j)
totalProfile.set(j, total)
if total > eaMax
eaMax := total
int pocIdx = 0
float pocVal = 0.0
for j = 0 to bucketCount - 1
if totalProfile.get(j) > pocVal
pocVal := totalProfile.get(j)
pocIdx := j
float totalSum = totalProfile.sum()
float targetSum = totalSum * 0.70
int vaLow = pocIdx
int vaHigh = pocIdx
float currentSum = pocVal
while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1)
float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0
float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0
First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value.
To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded.
4. Market Profile Shape Classification
float volTopThird = 0.0
float volMidThird = 0.0
float volBotThird = 0.0
int thirdIdx = int(bucketCount / 3)
for j = 0 to bucketCount - 1
float val = totalProfile.get(j)
if j < thirdIdx
volBotThird += val
else if j < thirdIdx * 2
volMidThird += val
else
volTopThird += val
float totalVolShape = totalProfile.sum()
string shapeStr = "D-Shape (Balanced)"
if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50)
shapeStr := "B-Shape (Double Dist)"
else
if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3
shapeStr := "P-Shape (Short Covering)"
else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3
shapeStr := "b-Shape (Long Liquidation)"
else
shapeStr := "D-Shape (Balanced)"
The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure.
5. Imbalances, Absorption & Zones
bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio)
bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio)
float volRatio = eaMax > 0 ? tVal / eaMax : 0
float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0
bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25
if showImbZone
if isSellImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isBuyImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isAbsorp
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side.
Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas.
6. Building Buy, Sell & Stealth Profiles
sellProfile := array.new(bucketCount, 0)
buyProfile := array.new(bucketCount, 0)
stealthProfile := array.new(bucketCount, 0)
Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile.
Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
Liquidity Heatmap [Eˣ]💧 Liquidity Heatmap - Free Indicator
Overview
The Liquidity Heatmap reveals where stop losses are clustered in the market - the hidden liquidity zones that smart money targets. This indicator automatically identifies Buy-Side Liquidity (BSL) above price and Sell-Side Liquidity (SSL) below price, showing you exactly where institutional traders are likely to hunt for stops before major moves.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 What This Indicator Does
Identifies Liquidity Zones:
• Buy-Side Liquidity (BSL) - Stop losses from SHORT positions clustered above price
• Sell-Side Liquidity (SSL) - Stop losses from LONG positions clustered below price
• Automatically clusters nearby levels into high-probability zones
• Shows liquidity strength (1-5+) - higher numbers = more stops = bigger target
• Removes swept liquidity in real-time as price takes out stops
Visual Display:
• 🔴 Red Zones Above Price = Buy-Side Liquidity (shorts' stops)
• 🟢 Green Zones Below Price = Sell-Side Liquidity (longs' stops)
• Thicker/Darker Zones = Higher liquidity concentration
• BSL/SSL Labels = Show exact strength count
• Triangle Markers = Liquidity sweep alerts (when price takes stops)
Smart Features:
• Auto-removes old liquidity (customizable lookback period)
• Clusters nearby levels to reduce noise
• Tracks liquidity strength and age
• Updates in real-time as new swing points form
• Alerts when major liquidity zones are swept
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 How To Use This Indicator
Understanding Liquidity Concepts
What is Liquidity?
Liquidity refers to clusters of stop loss orders sitting in the market. These stops represent:
• Long traders' stop losses (below support) = Sell-Side Liquidity
• Short traders' stop losses (above resistance) = Buy-Side Liquidity
Why Does This Matter?
• Institutions NEED liquidity to fill large orders
• Price often "sweeps" liquidity zones before reversing
• Major liquidity = major target for smart money
• Understanding liquidity = understanding market maker behavior
The Liquidity Cycle:
1. Retail traders place stops at obvious levels (swing highs/lows)
2. Smart money identifies these clusters
3. Price is pushed to sweep the stops (liquidity grab)
4. Institutions fill their orders with this liquidity
5. Price reverses in the opposite direction
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 Trading Strategies
Strategy 1: Liquidity Sweep Reversals
Best For: Swing trading, catching reversals
Timeframes: 15min, 1H, 4H, Daily
Entry Setup:
1. Identify strong Sell-Side Liquidity (SSL) zone below price
2. Wait for price to sweep down into the SSL zone
3. Look for rejection/reversal candle pattern (pin bar, engulfing)
4. Enter LONG after sweep and reversal confirmation
5. Stop loss: Below the swept liquidity zone
6. Target: Opposite liquidity zone or key resistance
Why It Works: Smart money sweeps stops to fill buy orders, then pushes price higher
Example:
• SSL zone at $45,000 with strength 3
• Price drops to $44,950, sweeps the SSL
• Strong bullish reversal candle forms
• Enter long at $45,100
• Target: BSL zone at $47,000
Strategy 2: Liquidity-to-Liquidity Runs
Best For: Day trading, scalping
Timeframes: 5min, 15min, 1H
Entry Setup:
1. Price sweeps Sell-Side Liquidity below and reverses up
2. Identify Buy-Side Liquidity zone above
3. Enter LONG targeting the BSL zone above
4. Exit near/at the BSL zone (don't wait for sweep)
5. Stop loss: Below recent swing low
Why It Works: Price moves from liquidity pool to liquidity pool
Variation - Reverse for Shorts:
• BSL sweep above → Look for SSL zone below
• Enter short targeting lower liquidity
Strategy 3: Liquidity Avoidance (Stop Placement)
Best For: Improving win rate on existing strategies
Timeframes: All
Rules:
1. NEVER place stops exactly at obvious liquidity zones
2. Place stops beyond the liquidity zone with buffer
3. Or place stops before the liquidity zone (tighter, riskier)
4. Monitor liquidity strength - avoid zones with strength 3+
Why It Works: Market makers hunt obvious stop clusters
Example:
• Trading long, swing low at $100 (SSL zone, strength 4)
• Bad: Stop at $99.50 (will get swept)
• Better: Stop at $98.50 (beyond the liquidity)
• Alternative: Stop at $100.50 (tighter, before sweep zone)
Strategy 4: Confluence Trading
Best For: High probability setups
Timeframes: 1H, 4H, Daily
Entry Setup:
1. Find liquidity zone that aligns with:
• Major support/resistance level
• Fibonacci retracement (0.618, 0.786)
• Trendline
• Round psychological number ($50,000, $2,000, etc)
2. Wait for sweep of this high-confluence zone
3. Enter on reversal with multiple confirmations
4. Larger position size justified by confluence
Why It Works: Multiple factors = institutional interest = higher probability
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Settings Explained
Core Settings
Swing Detection Length (Default: 10)
• Number of bars left/right to identify swing highs and lows
• Lower values (5-8): More sensitive, more liquidity zones, more noise
• Higher values (12-20): Less sensitive, only major swings, cleaner chart
• Recommended: 8-10 for intraday, 10-15 for swing trading
Liquidity Lookback Bars (Default: 100)
• How many historical bars to track liquidity zones
• Lower values (50-75): Shows only recent liquidity
• Higher values (100-200): Shows longer-term liquidity clusters
• Zones older than this are automatically removed
• Recommended: 100-150 for most timeframes
Zone Proximity % (Default: 0.5)
• Percentage threshold to group nearby levels into single zone
• Lower values (0.2-0.4): Keeps levels separate, more zones
• Higher values (0.6-1.0): Aggressive clustering, fewer zones
• Recommended: 0.4-0.6 for crypto, 0.3-0.5 for forex, 0.5-0.8 for stocks
Visualization Settings
Show Buy-Side Liquidity
• Toggle ON/OFF red zones above price
• Turn OFF if only interested in downside liquidity
Show Sell-Side Liquidity
• Toggle ON/OFF green zones below price
• Turn OFF if only interested in upside liquidity
Show Liquidity Labels
• Toggle BSL/SSL labels with strength numbers
• Turn OFF for cleaner chart appearance
• Keep ON to see exact liquidity strength
Display Style
• Boxes: Filled rectangular zones (best for visualizing strength)
• Lines: Horizontal dashed lines (minimal, clean look)
• Both: Boxes + Lines (maximum visibility)
Color Intensity
• Low: 85% transparency (subtle, less distracting)
• Medium: 75% transparency (balanced visibility)
• High: 65% transparency (bold, maximum visibility)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📱 Info Panel Guide
Located in the top-right corner, the info panel provides real-time liquidity statistics:
Buy-Side Zones
• Count of active BSL zones above current price
• Higher number = More upside targets for price
Sell-Side Zones
• Count of active SSL zones below current price
• Higher number = More downside targets for price
Total Zones
• Combined count of all active liquidity
• Useful for gauging overall market structure
Nearest BSL
• Distance in % to closest Buy-Side Liquidity above
• Example: +2.5% means BSL is 2.5% above current price
• Quick reference for next upside target
Nearest SSL
• Distance in % to closest Sell-Side Liquidity below
• Example: -1.8% means SSL is 1.8% below current price
• Quick reference for next downside target
Liquidity Bias
• ⬆️ Bullish : More BSL than SSL (upside targets dominate)
• ⬇️ Bearish : More SSL than BSL (downside targets dominate)
• ↔️ Balanced: Equal liquidity on both sides (range-bound)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎓 Understanding Liquidity Strength
What Do The Numbers Mean?
Strength 1 : Single swing point
• Light liquidity, minor target
• Can be ignored in trending markets
• Useful in ranging/choppy conditions
Strength 2-3 : Moderate liquidity cluster
• Multiple nearby swing points merged
• Decent target for intraday moves
• Watch for potential sweeps
Strength 4-5 : Strong liquidity cluster
• Major cluster of stops
• High-probability target for institutions
• Expect reactions when swept
Strength 6+ : Extreme liquidity pool
• Massive stop cluster (rare)
• Critical zone - high probability of sweep
• Often marks major support/resistance
• Ideal for confluence setups
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📱 Alert Setup
This indicator includes 2 powerful alert types:
1. Buy-Side Liquidity Sweep
• Triggers when price sweeps BSL zone above
• Shows potential bullish reversal opportunity
• Often precedes upward continuation after sweep
2. Sell-Side Liquidity Sweep
• Triggers when price sweeps SSL zone below
• Shows potential bearish reversal opportunity
• Often precedes downward continuation after sweep
To Set Up Alerts:
1. Click the "Alert" button (clock icon) in TradingView
2. Condition: Select "Liquidity Heatmap"
3. Choose alert type: BSL Sweep or SSL Sweep
4. Configure notification method (push, email, webhook)
5. Click "Create"
Pro Tip: Set alerts for both BSL and SSL sweeps to catch opportunities in both directions
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💎 Pro Tips & Best Practices
✅ DO:
• Wait for confirmation - Don't enter immediately on sweep, wait for reversal pattern
• Combine with trend - SSL sweeps in uptrends = higher probability longs
• Check multiple timeframes - 1H liquidity + 4H liquidity = strongest zones
• Monitor strength - Focus on zones with strength 3+
• Use proper risk management - Liquidity sweeps can go further than expected
• Watch for re-sweeps - Sometimes liquidity zones get swept multiple times
• Consider volume - High volume sweeps = stronger reversal potential
⚠️ DON'T:
• Don't fade strong trends - In strong trends, sweeps often continue rather than reverse
• Don't overtrade - Not every sweep is a tradeable setup
• Don't ignore context - Check broader market conditions and news
• Don't use alone - Combine with price action, support/resistance, and other analysis
• Don't place stops at liquidity - Your stops will be hunted
• Don't expect perfection
Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET
Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions.
Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts.
The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence.
THE FOUNDATION
The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology.
Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk.
Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods.
Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses.
HOW THE INDICATOR CALCULATES VOLATILITY
The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility.
For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options.
Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature.
The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements.
The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process.
The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful.
THE CORE VRP CALCULATION
Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress.
The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag.
INTERPRETING THE REGIMES
The indicator classifies market conditions into five distinct regimes based on VRP levels.
The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes.
The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding.
The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates.
The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress.
The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging.
TERM STRUCTURE ANALYSIS
Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows.
Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship.
When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms.
The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics.
MEAN REVERSION CHARACTERISTICS
One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies.
The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low.
Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization.
These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter.
MOMENTUM ANALYSIS
The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium.
The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels.
PRACTICAL APPLICATION
For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk.
For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes.
For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system.
LIMITATIONS AND CONSIDERATIONS
No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention.
The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period.
Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies.
The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources.
Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics.
STATISTICAL OUTPUTS
The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation.
Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions.
ALERT CONDITIONS
The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes.
REFERENCES
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566.
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492.
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78.
Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354.
Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
Quantum Uncertainty by Kingshuk GhoshLet me explain this indicator in simple, practical terms, including the fascinating physics concept that inspired me.
This indicator helps to understand when the market is predictable (safe to trade) versus unpredictable (risky to trade). It shows the probability zones where price is likely to move and warns you when conditions are too chaotic for reliable trading.
The Physics Behind It: Heisenberg's Uncertainty Principle:-
This indicator is inspired by one of the most profound discoveries in physics: Heisenberg's Uncertainty Principle.
What Is The Uncertainty Principle?
In 1927, physicist Werner Heisenberg discovered something remarkable about the universe: you cannot simultaneously know both the exact position and exact momentum of a particle with perfect precision. The more accurately you know one, the less accurately you can know the other.
Simple Analogy:
Imagine trying to photograph a speeding bullet:
Use fast shutter speed → You see exactly WHERE it is (position), but the image is frozen, so you can't tell HOW FAST it's moving (momentum)
Use slow shutter speed → You see motion blur showing HOW FAST it's moving (momentum), but you can't pinpoint exactly WHERE it is (position)
You can never have both perfect clarity simultaneously - there's always a trade-off.
How This Applies To Trading
The indicator translates this principle to financial markets:
In Physics:
Position Uncertainty × Momentum Uncertainty = Always greater than a minimum value
High uncertainty in one means high uncertainty overall
In Trading:
Price Position Uncertainty = How much the price bounces around (volatility)
Price Momentum Uncertainty = How erratic the directional strength is
Total Market Uncertainty = Price Volatility × Momentum Volatility
The Trading Insight:
Just like in physics, when BOTH price position and momentum are uncertain (highly volatile), the market becomes fundamentally unpredictable. You can't reliably know where price will go next because the system is in high uncertainty state.
Why This Matters For You
Traditional indicators often look at price OR momentum separately. This indicator recognizes that both must be considered together to truly understand market predictability, just as Heisenberg showed that position and momentum must be considered together in physics.
When both uncertainties are high simultaneously:
Price could jump anywhere
Momentum could shift instantly
Predictions become unreliable
Trading becomes gambling
When both uncertainties are low:
Price behavior is more regular
Momentum is more stable
Patterns become clearer
Trading becomes strategic
This is why the indicator's core metric multiplies price volatility by momentum volatility - it's capturing that fundamental uncertainty relationship.
Market Uncertainty
The indicator calculates how unpredictable the market currently is by examining:
How much price is bouncing around (price volatility)
How erratic the momentum is (momentum instability)
When both are high simultaneously, the market becomes highly unpredictable. When both are calm, the market is more reliable for trading.
Think of it like driving:
Low uncertainty = Clear road, good visibility, safe to drive
High uncertainty = Fog, rain, poor visibility, dangerous conditions
Probability Bands
The indicator draws colored bands around a central average price line:
White Center Line (Basis)
The average price over your lookback period
Acts as a equilibrium point where price gravitates
Blue Bands (Inner Zone)
Covers about 68% of normal price behavior
Price spends most of its time here
This is the "normal operating range"
Purple Bands (Outer Zone)
Covers about 95% of all price behavior
Price rarely ventures here
When it does, it's unusual and noteworthy
Highway Lane Analogy:
Most drivers stay in center lanes (blue zone)
Few drivers use extreme outer lanes (purple zone)
When someone drives on the shoulder, it's abnormal and signals something is happening
Wave Function Collapse
Another physics concept applied here: In quantum mechanics, particles exist in multiple states simultaneously (superposition) until they're measured - then the "wave function collapses" to a single state.
In This Indicator:
The probability bands represent all the possible states price could be in. When price moves and settles at a specific level, it's like the wave function collapsing - probability becomes reality.
The indicator helps you see:
Where price is most likely to be (high probability zones - blue bands)
Where price rarely goes (low probability zones - purple bands)
When price is in an "impossible" state (outside bands - tunneling)
Price Position
The indicator tracks where current price sits within these bands:
Upper position = Price in the top half (bullish territory)
Lower position = Price in the bottom half (bearish territory)
Extreme positions = Price in outer 30% on either side (potential reversal zones)
Quantum Tunneling Signals
This is another physics concept: In quantum mechanics, particles can sometimes "tunnel" through barriers that classical physics says they shouldn't be able to cross.
In Trading:
When price breaks through the 95% probability barrier, it's "tunneling" into statistically improbable territory - these are marked by triangles:
Green Triangle Up
Price tunneled through the upper 95% barrier
This is statistically rare (happens only 5% of the time)
Often signals price exhaustion or coming reversal downward
Like a particle that tunneled too far and will snap back
Red Triangle Down
Price tunneled through the lower 95% barrier
Also statistically unusual
Often signals panic selling may be overdone
Like a spring compressed too far, ready to bounce
These "tunneling events" are significant because they represent extreme deviations from normal probability - and markets tend to revert to normal.
Entanglement Score
In quantum physics, "entanglement" means two particles are connected such that measuring one instantly affects the other, no matter the distance.
In Trading:
This measures whether price movements are "entangled" with trading volume - do they move together in a connected way?
High Entanglement (above 0.5)
Price and volume move together
Volume confirms the price action
More reliable, trustworthy moves
Like entangled particles - they're truly connected
Low Entanglement (below 0.3)
Price moves without volume support
Suspicious, unsupported movements
Less reliable, be cautious
Like particles that aren't entangled - the connection is weak
Negative Entanglement
Price and volume move in opposite directions
Often signals divergence or potential reversal
Requires careful interpretation
Information Dashboard:
1. Uncertainty Level
Shows current market unpredictability (the core Heisenberg principle calculation):
✓ Normal (Green) = Market is behaving predictably, safe to trade
⚠ High Risk (Red) = Market is chaotic, avoid trading
This is your first checkpoint - if uncertainty is high, don't proceed further.
2. Probability Score
Shows how normal or extreme the current price is:
Percentage shown = Where price sits in the probability distribution
✓ Safe (Green) = Price in normal range (middle 70%)
⛔ Extreme (Red) = Price at statistical outliers (outer 15%)
High percentage (>85%) = Price near the average, stable situation
Low percentage (<15%) = Price at extremes, unstable situation
3. Position Indicator
Tells you which side of the market you're on:
Upper/Lower = Basic location in the bands
→ Neutral (Gray) = Price in balanced middle zone
⚠ Reversal? (Orange) = Price at extremes, watch for turnaround
This helps you anticipate potential support or resistance levels.
4. Entanglement Confirmation
Shows the correlation number and interpretation:
✓ Confirmed (Green) = Volume strongly supports price (>0.5)
⚠ Weak (Orange) = Poor volume support (<0.5)
Always prefer trading when entanglement is confirmed - it means the move is "real" with participant backing.
5. Trade Status - YOUR MAIN SIGNAL
This is the indicator's final verdict combining all factors:
✓ TRADEABLE (Green)
Uncertainty is normal
Probability is safe
Entanglement is decent
Action: Market conditions favor trading
⛔ AVOID (Red)
One or more conditions are unfavorable
Market is too unpredictable
Action: Stay out, preserve capital.
Scenario A: Perfect Buy Setup
Red triangle appears (quantum tunneling down)
Position shows "Lower" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme low with volume support, likely to bounce back to probability zone
Action: Consider long entry with stop below recent low
Scenario B: Perfect Sell Setup
Green triangle appears (quantum tunneling up)
Position shows "Upper" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme high, exhaustion in high uncertainty zone
Action: Consider short entry or exit longs with stop above recent high
Scenario C: High Uncertainty - Stay Out
Uncertainty shows "⚠ High Risk"
Probability shows "⛔ Extreme"
Trade Status: "⛔ AVOID"
Interpretation: Both price and momentum uncertainties are high - market is fundamentally unpredictable (Heisenberg principle in action)
Action: No trading, wait for uncertainty to decrease
Scenario D: Trending Market
Price consistently stays in upper bands
No tunneling signals
Entanglement remains high
Trade Status stays "✓ TRADEABLE"
Interpretation: Strong trend with low uncertainty
Action: Trade with the trend, don't fight it
Scenario E: Choppy, Range-Bound
Price bounces between inner blue bands
Frequent status changes between TRADEABLE and AVOID
Entanglement fluctuates
Interpretation: Market lacks direction, uncertainty fluctuating
Action: Use bands as support/resistance for scalping, or wait for breakout.
Why The Uncertainty Principle Matters In Trading
Traditional technical analysis often looks at indicators in isolation:
"RSI is oversold, so buy"
"Price is volatile, so wait"
"Volume is high, so trade"
But Heisenberg's principle teaches us that multiple uncertainties interact and compound. This indicator recognizes that truth:
When price volatility is high AND momentum is erratic:
You can't reliably predict where price will go
You can't reliably predict how strong the move will be
The combination creates fundamental unpredictability
This is when the indicator says "AVOID"
When price volatility is low AND momentum is stable:
Price behavior becomes more regular
Directional moves become more reliable
The low combined uncertainty creates tradeable conditions
This is when the indicator says "TRADEABLE"
The Probability Wave Function
In quantum mechanics, until you measure a particle, it exists in all possible states simultaneously (superposition). The probability wave describes where it's most likely to be found.
The bands work the same way:
Blue bands = Where price has 68% probability of being (1 standard deviation)
Purple bands = Where price has 95% probability of being (2 standard deviations)
Outside bands = Less than 5% probability (quantum tunneling territory)
When price is in the blue zone, it's in its "natural" superposition state - normal behavior.
When price tunnels outside, it's in an "improbable" state - like a quantum particle appearing where it shouldn't be. Physics tells us this can't last - the wave function will collapse back to normal probability zones. In trading, this means reversion to the mean.
Entanglement and Market Correlation
Quantum entanglement shows us that connections matter - particles don't act in isolation.
In markets:
Price shouldn't move in isolation from volume
When they're "entangled" (moving together), the move is authentic
When they're not entangled (price moves without volume), the move is suspicious
This is why the indicator checks entanglement - it's verifying that the market components are properly connected and confirming each other.
Golden Rules for the indicator:
Never trade during high uncertainty states - When the indicator shows AVOID, it's telling you that fundamental unpredictability (Heisenberg's principle) has taken over. This is non-negotiable.
Reduce position size when entanglement is weak - Even if uncertainty is low, weak volume entanglement means the move may not be authentic.
Respect the quantum tunneling signals - They mark statistical extremes where price has entered improbable territory. Reversion to normal probability zones is likely.
Don't chase price outside the bands - If you missed the tunneling entry, wait for price to return to normal probability zones.
Use the white center line as equilibrium - Like particles gravitating toward lower energy states, price tends to revert to its average.
Heisenberg's Uncertainty Principle teaches us a profound lesson: some things are fundamentally unknowable. You cannot eliminate uncertainty - you can only measure it and decide whether it's low enough to act.
This indicator embraces that wisdom:
It doesn't claim to predict the future
It doesn't promise guaranteed wins
It simply measures current uncertainty
And tells you when conditions are favorable vs. unfavorable
The market, like quantum particles, is probabilistic, not deterministic. You're trading probabilities, not certainties. The indicator helps you identify when those probabilities are in your favor (low uncertainty) and when they're not (high uncertainty).
This is a more mature, realistic approach to trading than indicators that promise to "predict" moves. Instead, this indicator honestly assesses predictability itself.
Remember: Not trading during high uncertainty is just as important as trading during low uncertainty. Preservation of capital is the foundation of long-term success. As Heisenberg taught us, some moments are simply too uncertain to act - and that's okay.
Chart attached: -NSE Persistent, EoD 05/12/25, Day Time Frame.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
VWAP + Candle LeverageWhat if you could extract more value from each trade based on your stop loss and entry, increasing your leverage safely? Could your winning trades be even more profitable?
This indicator uses the VWAP (Volume Weighted Average Price) to calculate safe leverage per candle, allowing traders to maximize each trade within a defined stop loss. Actual profit remains variable depending on market movement and applied leverage.
How signals appear and how leverage is determined
L (green): signals that price crossed above the VWAP (potential long entry).
S (red): signals that price crossed below the VWAP (potential short entry).
Each crossover shows a label with “x”, indicating the theoretical safe leverage for that candle.
How safe leverage is calculated:
Long: close ÷ (close − candle low)
Short: close ÷ (candle high − close)
How leverage is applied:
Identify the signal candle and record close, high, and low.
Calculate the difference between the close price and the stop price (low for Long, high for Short).
The percentage difference between these prices is our safe leverage: the smaller the difference, the higher the leverage possible, always respecting the stop loss.
The “x” label shows this maximum leverage, protecting the position balance using the candle’s stop loss.
Actual profit will still depend on market movement, but the stop loss is already defined and secure.
Main benefits:
Maximize trade potential with known stop loss
Plan entries and position sizing safely
Clearly visualize safe leverage per candle
Simple, efficient, and educational
Disclaimer:
The indicator does not execute trades automatically and is not a full trading system. It is intended solely for educational purposes and safe leverage management.
Veil Trend# Veil Trend (VTrend)
**Veil Trend** is a minimalist trend-following and volatility framework built around a triple-EMA structure and adaptive price bands. It is designed to clearly define trend direction, dynamic support and resistance, and momentum expansion—without clutter.
---
## 🔹 Core Components
### Main EMA (Slow)
Acts as the primary trend axis.
- Price **above** the main EMA → bullish bias
- Price **below** the main EMA → bearish bias
### Medium EMA
Tracks intermediate momentum and trend strength, helping visualize pullbacks within the broader trend.
### Fast EMA (Optional)
Provides short-term momentum sensitivity and early trend shifts.
Hidden by default to maintain a clean chart.
---
## 🔹 Adaptive Veil Bands
Veil Trend wraps the main EMA with adaptive volatility bands (“the veil”) to define normal price movement versus expansion.
- **ATR-Based Bands (Default)**
Bands automatically expand and contract with volatility, adapting to changing market conditions.
- **Percentage-Based Bands (Optional)**
Bands are offset by a fixed percentage from the main EMA, useful for consistent scaling across instruments.
The shaded area between bands represents the **healthy trend zone**, where pullbacks and consolidations typically occur.
---
## 🔹 Signals & Interpretation
*(Disabled by default for a clean visual experience)*
### Band Breaks
- **Break above upper band** → strong bullish momentum
- **Break below lower band** → strong bearish momentum
### Band Bounces
- **Bounce from lower band** → potential bullish continuation
- **Rejection at upper band** → potential bearish continuation
Alerts are included for all band events and can be enabled as needed.
---
## 🔹 Visual Design Philosophy
- Clean, layered EMA structure (“noodles”)
- Subtle volatility bands with optional fill
- Optional status table for quick market context
- Minimalist by default, information-rich when enabled
---
## 🔹 Best Use Cases
- Identifying trend direction and bias
- Trading pullbacks within established trends
- Spotting volatility expansion and breakout conditions
- Works on **stocks, crypto, forex, and indices**
- Effective across all timeframes
---
**Veil Trend doesn’t predict — it reveals.**
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI — SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
✔ SMA 21
✔ SMA 50
✔ SMA 100
✔ SMA 200
✔ Bollinger Bands with adjustable length + multiplier
✔ Adaptive “Fusion Squeeze” shading to highlight compression phases
✔ Optional visibility toggles for each SMA
✔ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice — just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
Candle Leverage OnlyThe Candle Leverage Only indicator displays the maximum theoretical leverage a trader could achieve within each candle, based on the full price movement — from the low to the close (on bullish candles) or from the high to the close (on bearish candles).
ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection
## Overview
**ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements.
## Key Features
- **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals
- **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum
- **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise
- **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength
- **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences
## Components
### 1. Accumulation/Distribution (A/D) Line
The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume:
```
A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume
```
- **Rising A/D**: More accumulation (buying pressure)
- **Falling A/D**: More distribution (selling pressure)
- **Doji Handling**: When High = Low, contribution is zero (avoids division errors)
### 2. Volume-Weighted MACD
Instead of simple EMAs, the indicator weights A/D values by volume:
- **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)`
- **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)`
- **MACD Line**: Fast Line - Slow Line (green line)
- **Signal Line** (default 9): EMA or SMA of MACD (orange line)
- **Histogram**: MACD - Signal (color-coded columns)
This volume-weighting ensures that periods with higher volume have greater influence on the indicator values.
### 3. Histogram Color System
The histogram uses 4 distinct colors based on **direction** and **volume strength**:
| Condition | Color | Meaning |
|-----------|-------|---------|
| Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation |
| Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) |
| Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation |
| Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) |
Additional shading:
- **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling)
- **Bright Red** (#FF5252): Negative and accelerating down
### 4. Divergence Detection
Divergence occurs when A/D trend and MACD momentum move in opposite directions:
#### Bullish Divergence (Green Background)
- **Condition**: A/D is trending up BUT MACD is negative and trending down
- **Interpretation**: Accumulation increasing while momentum appears weak
- **Signal**: Potential bullish reversal or continuation
- **Action**: Look for entry opportunities or hold long positions
#### Bearish Divergence (Red Background)
- **Condition**: A/D is trending down BUT MACD is positive and trending up
- **Interpretation**: Distribution increasing while momentum appears strong
- **Signal**: Potential bearish reversal or weakening uptrend
- **Action**: Consider exits, tighten stops, or prepare for reversal
## Parameters
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) |
| **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) |
| **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) |
| **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation |
| **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) |
## Usage Guide
### Reading the Indicator
1. **MACD Lines (Green & Orange)**
- **Crossovers**: When green crosses above orange = bullish, below = bearish
- **Distance**: Wider gap = stronger momentum
- **Zero Line**: Above = bullish bias, below = bearish bias
2. **Histogram Colors**
- Focus on **dark colors** (dark green/red) for high-confidence signals
- Be cautious with **light colors** (teal/pink) - wait for volume confirmation
- Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal
- Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal
3. **Background Divergence Alerts**
- **Green background**: Bullish divergence - consider long entries
- **Red background**: Bearish divergence - consider exits or shorts
- Best used in combination with price action and support/resistance levels
### Trading Strategies
#### Trend Following
1. Wait for MACD to cross above zero line with dark green histogram
2. Enter long when histogram shows consecutive dark green bars
3. Exit when histogram turns light green or red appears
#### Divergence Trading
1. Wait for background divergence alert (green or red)
2. Confirm with price action (support/resistance, candlestick patterns)
3. Enter on next dark-colored histogram bar in divergence direction
4. Set stops beyond recent swing high/low
#### Volume Confirmation
1. Ignore signals during low-volume periods (light colors)
2. Take aggressive positions during high-volume confirmations (dark colors)
3. Use volume strength as position sizing guide (larger size on dark bars)
### Best Practices
✓ **Combine with price action**: Don't rely on indicator alone
✓ **Wait for dark colors**: High-volume bars are more reliable
✓ **Watch for divergences**: Early warning signs of reversals
✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m
✓ **Respect zero line**: Trading direction should align with MACD side
✗ **Don't chase light-colored signals**: Low volume = lower reliability
✗ **Don't ignore context**: Market structure and levels matter
✗ **Don't over-trade**: Wait for clear, high-volume setups
✗ **Don't ignore alerts**: Divergences are early warnings
## Technical Details
### Volume-Weighted Calculation Method
Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume:
```pine
// Volume-weighted fast EMA
close_vol_fast = ta.ema(ad × volume, fast_length)
vol_fast = ta.ema(volume, fast_length)
vw_ad_fast = close_vol_fast / vol_fast
// Same for slow EMA
close_vol_slow = ta.ema(ad × volume, slow_length)
vol_slow = ta.ema(volume, slow_length)
vw_ad_slow = close_vol_slow / vol_slow
// MACD is the difference
macd = vw_ad_fast - vw_ad_slow
```
This ensures high-volume periods have proportionally more impact on the indicator.
### Volume Strength Filter
Determines whether current volume is above or below average:
```pine
vol_avg = ta.sma(volume, vol_length)
vol_strength = volume > vol_avg
```
Used to select dark (high volume) vs light (low volume) histogram colors.
### Divergence Logic
```pine
// A/D trending up if above its 5-period SMA
ad_trend = ad > ta.sma(ad, 5)
// MACD trending up if above zero
macd_trend = macd > 0
// Divergence when trends oppose
divergence = ad_trend != macd_trend
// Specific conditions
bullish_divergence = ad_trend and not macd_trend and macd < 0
bearish_divergence = not ad_trend and macd_trend and macd > 0
```
## Alerts
The indicator includes built-in alert conditions:
- **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down"
- **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up"
To enable:
1. Click "Create Alert" button in TradingView
2. Select "ACCDv3" as condition
3. Choose "Bullish Divergence" or "Bearish Divergence"
4. Configure notification method (popup, email, webhook, etc.)
## Comparison with Standard MACD
| Feature | Standard MACD | ACCDv3 |
|---------|---------------|---------|
| **Input** | Close price | Accumulation/Distribution line |
| **Weighting** | Simple EMA | Volume-weighted EMA |
| **Divergence** | Price vs MACD | A/D vs MACD |
| **Volume Analysis** | None | Built-in strength filter |
| **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) |
| **Leading/Lagging** | Lagging | More leading (volume-weighted) |
## Example Scenarios
### Scenario 1: Strong Bullish Signal
- **Chart**: MACD crosses above zero line
- **Histogram**: Dark green bars (#1B5E20) appearing
- **Volume**: Above 20-period average
- **Action**: Enter long, strong momentum with volume confirmation
### Scenario 2: Weak Bearish Signal
- **Chart**: MACD crosses below zero line
- **Histogram**: Light pink bars (#FFCDD2) appearing
- **Volume**: Below 20-period average
- **Action**: Avoid shorting, low volume = unreliable signal
### Scenario 3: Bullish Divergence Reversal
- **Chart**: Price making lower lows
- **Indicator**: A/D line trending up, MACD negative
- **Background**: Green shading appears
- **Histogram**: Transitions from red to dark green
- **Action**: Look for long entry on next dark green bar
### Scenario 4: V-Bottom Reversal
- **Chart**: Downtrend in place
- **Histogram**: Red bars start rising (becoming less negative)
- **Pattern**: Forms "V" shape at bottom
- **Confirmation**: Transitions to dark green bars
- **Action**: Bullish reversal signal, consider long entry
## Timeframe Recommendations
- **1-minute**: Scalping, very fast signals (noisy, use with caution)
- **5-minute**: Intraday momentum trading (recommended)
- **15-minute**: Swing entries, clearer trend signals
- **1-hour+**: Position trading, major trend identification
## Limitations
- **Requires volume data**: Will not work on instruments without volume
- **Lag during consolidation**: MACD is inherently trend-following
- **False signals in chop**: Sideways markets generate noise
- **Not a standalone system**: Should be combined with price action and risk management
## Version History
- **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence
- **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors
- **v1**: Basic MACD on A/D line with volume-weighted calculation
## Support & Further Reading
For questions, updates, or to report issues, refer to the main project documentation or contact the developer.
**Related Indicators in Suite:**
- **VMACDv3**: Volume-weighted MACD on price (not A/D)
- **RSIv2**: RSI with A/D divergence
- **DMI**: Directional Movement Index with A/D divergence
- **Elder Impulse**: Bar coloring system using volume-weighted MACD
---
*This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
Perfect Trade Screener – Merthan KRYPTO PRO (v6) for cryptoPerfect Trade Screener – Merthan KRYPTO PRO (v6) for crypto
Dynamic TP Based on RR - Position ToolSimple indicator that automatically plots the take-profit (TP) level based on the below inputs:
- Entry price
- Stop-loss (SL)
- Risk-to-reward (RR)
The long/short-position drawing tools are simple enough to use, but wanted something that will automatically plot the TP instead. Couldn't find anything basic and free of extra features so built this instead.
This is how I use it.
1 (optional): Use the long/short-position drawing tool to plot the entry and stop-loss levels
2: Enable the indicator and enter the inputs
- Entry
- SL
- RR
3: The TP will automatically plot. Change the RR to your liking.
Global Liquidity Index LITEGlobal Liquidity Index (GLI LITE) is an indicator that measures global liquidity by combining the balance sheets of major central banks (FED, ECB, PBOC, BOJ) and the M2 money supply of the world’s largest economies (USA, Europe, China, Japan).
Since liquidity directly influences the price of risk assets (BTC, NASDAQ, SPX, etc.), GLI is one of the most important macro signals for identifying market bull/bear regimes.
What the indicator shows:
GLI momentum line (green = liquidity expansion, orange = contraction)
Fast & Slow MA lines that define the liquidity trend
Bull/Bear background coloring
Green → global liquidity is expanding
Red → liquidity is tightening
Correlation between GLI and the asset price (e.g., BTC)
Macro trend panel (Bull / Bear / Neutral)
How to use the indicator:
Bull regime (Fast MA > Slow MA)
Liquidity is expanding and the market has a natural tailwind. Risk assets tend to perform better.
Bear regime (Fast MA < Slow MA)
Liquidity is tightening — higher risk, increased volatility, and more downside pressure.
GLI ↔ Price Correlation
If correlation is high (e.g., > 0.6), GLI can be an excellent leading indicator for price movement.
Daily 9 SMA S/R with Std DevThis indicator plots the Daily 9 Simple Moving Average as dynamic support/resistance on any timeframe, with standard deviation bands to measure trend strength and identify overextended price action.
━━━━━━━━━━━━━━━━━━━━━━
HOW IT WORKS
━━━━━━━━━━━━━━━━━━━━━━
The Daily 9 SMA acts as a key level institutions watch. When price is above it, bullish bias. Below it, bearish bias. Simple.
Standard deviation bands show you:
- 1 StdDev = Strong trend territory
- 2 StdDev = Extreme/overextended - potential reversal zone
━━━━━━━━━━━━━━━━━━━━━━
FEATURES
━━━━━━━━━━━━━━━━━━━━━━
- Daily 9 SMA plotted on any timeframe
- 1 & 2 Standard Deviation bands
- Trend strength scoring (-3 to +3)
- Info table showing current values and trend status
- Visual signals for MA reclaims, losses, and trend entries
━━━━━━━━━━━━━━━━━━━━━━
ALERTS
━━━━━━━━━━━━━━━━━━━━━━
- Price Reclaims Daily 9 SMA
- Price Loses Daily 9 SMA
- Enter Strong Bullish Zone (>1 StdDev)
- Enter Strong Bearish Zone (<1 StdDev)
- Extreme Extension Alerts (2 StdDev)
- Bounce/Rejection at MA
━━━━━━━━━━━━━━━━━━━━━━
HOW TO USE
━━━━━━━━━━━━━━━━━━━━━━
1. Use on lower timeframes (5m, 15m, 1H) to see Daily levels
2. Look for bounces off the Daily 9 SMA for entries
3. Avoid longs when price loses the MA, avoid shorts when price reclaims
4. Use StdDev bands to gauge when price is overextended
━━━━━━━━━━━━━━━━━━━━━━
SETTINGS
━━━━━━━━━━━━━━━━━━━━━━
- MA Length - Default 9
- StdDev Multipliers - Default 1.0 and 2.0
- StdDev Lookback - Default 20
- Customizable colors
Works on any market - Forex, Crypto, Stocks, Futures.
Quicksilver Recovery Overlay [Strict]The Quicksilver Recovery Overlay is a proprietary visual analysis tool designed to identify high-probability reversal points in volatile markets. Originally developed for internal use to stabilize Prop Firm drawdowns, this script translates complex algorithmic logic into simple, actionable visual signals on your chart.
🚫 The Problem:
Most traders lose capital trying to "catch a falling knife." They buy too early during a crash and get liquidated before the reversal happens.
✅ The Solution:
This overlay forces discipline. It will only print a "QS BUY" signal when three specific institutional criteria are met simultaneously. If the setup is not perfect, the chart remains clean, keeping you out of bad trades.
The Logic (The "Triple Confluence" Engine):
Deep Exhaustion: The Stochastic RSI must pierce the extreme oversold zone (< 20), indicating seller exhaustion.
Momentum Crossover: The Fast %K line must cross above the Slow %D line, confirming momentum has shifted.
Heikin Ashi Filter: The current Heikin Ashi candle must be GREEN (Bullish). This filters out "fake" reversals where price is still wicking down.
Features:
Visual Signal Labels: Green "QS BUY" and Red "QS SELL" tags appear directly on the bar.
Zero Repaint Logic: Signals are confirmed on candle close.
Status Dashboard: A built-in monitor in the top right corner confirms the algorithm is active.
Recommended Settings:
Assets: ETHUSD, BTCUSD, XAUUSD (Gold).
Timeframes:
1-Minute: For scalping and drawdown recovery.
15-Minute: For swing trading and trend reversals.
How to Get Access:
This is a Protected Script. Access is granted exclusively to members of the Quicksilver Algo Systems ecosystem.
Get your license key here: whop.com
Risk Disclosure: Trading involves substantial risk. Past performance is not indicative of future results.
Annual Lump Sum: Yearly & CompoundedAnnual Lump Sum Investment Analyzer (Yearly vs. Compounded)
Overview
This Pine Script indicator simulates a disciplined "Lump Sum" investing strategy. It calculates the performance of buying a fixed dollar amount (e.g., $10,000) on the very first trading day of every year and holding it indefinitely.
Unlike standard backtesters that only show a total percentage, this tool breaks down performance by "Vintage" (the year of purchase), allowing you to see which specific years contributed most to your wealth.
Key Features
Automated Execution: Automatically detects the first trading bar of every new year to simulate a buy.
Dual-Yield Analysis: The table provides two distinct ways to view returns:
Yearly %: How the market performed specifically during that calendar year (Jan 1 to Dec 31).
Compounded %: The total return of that specific year's investment from the moment it was bought until today.
Live Updates: For the current year, the "End Price" and "Yields" update in real-time with market movements.
Portfolio Summary: Displays your Total Invested Capital vs. Total Current Value at the top of the table.
Table Column Breakdown
The dashboard in the bottom-right corner displays the following:
Year: The vintage year of the investment.
Buy Price: The price of the asset on the first trading day of that year.
End Price: The price on the last trading day of that year (or the current price if the year is still active).
Yearly %: The isolated performance of that specific calendar year. (Green = The market ended the year higher than it started).
Compounded %: The "Diamond Hands" return. This shows how much that specific $10,000 tranche is up (or down) right now relative to the current price.
How to Use
Add the script to your chart.
Crucial: Set your chart timeframe to Daily (D). This ensures the script correctly identifies the first trading day of the year.
Open the Settings (Inputs) to adjust:
Annual Investment Amount: Default is $10,000.
Table Size: Adjust text size (Tiny, Small, Normal, Large).
Max Rows: Limit how many historical years are shown to keep the chart clean.
Use Case
This tool is perfect for investors who want to visualize the power of long-term holding. It allows you to see that even if a specific year had a bad "Yearly Yield" (e.g., buying in 2008), the "Compounded Yield" might still be massive today due to time in the market.
Daily Dollar Cost Averaging (DCA) Simulator & Yearly PerformanceThis indicator simulates a "Daily Dollar Cost Averaging" strategy directly on your chart. Unlike standard backtesters that trade based on signals, this script calculates the performance of a portfolio where a fixed dollar amount is invested every single day, regardless of price action.
Key Features:
Daily Accumulation: Simulates buying a specific dollar amount (e.g., $10) at the market close every day.
Yearly Breakdown Table: A detailed dashboard displayed on the chart that breaks down performance by year. It tracks total invested, average entry price, total holdings, current value, and PnL percentage for each individual year.
Global Stats: The bottom row of the table summarizes the total performance of the entire strategy since the start date.
Breakeven Line: Plots a yellow line on the chart representing your "Global Average Price." When the current price is above this line, the total strategy is in profit.
How to Use:
Add to chart (Works best on the Daily (D) timeframe).
Open settings to adjust your Daily Investment Amount and Start Year.
The table will automatically update to show how a daily investment strategy would have performed over time.
Day Range with OHLC LabelsThis indicator creates a synthetic daily candlestick that appears to the right of the chart, visually separated from real price bars.
It helps traders quickly view each day’s High, Low, Open, and Close without zooming, scrolling, or switching to higher timeframes.
What This Tool Does
✔ Draws a floating daily candle to the right of the current chart
✔ Displays the true Daily Open, High, Low, and Close
✔ Shows a center-aligned wick representing the full high-low range
✔ Shows a box-style candle body positioned using real OHLC values
✔ Labels the values (O, H, L, C) with large, clear fonts
✔ Automatically updates at each new day
✔ Works on any timeframe
✔ Helps intraday traders track daily structure visually
Why This Indicator Is Useful
This script is ideal for intraday traders who want instant awareness of the current day’s range.
Instead of guessing or drawing manual lines, you get a clean daily candlestick rendered off to the right side, avoiding chart clutter.
Great for:
Range traders
Breakout traders
Liquidity zone analysis
High/Low reference tracking
Traders who prefer non-intrusive visuals
Customization
Adjustable offset: position the candle further right
Configurable colors for wick + body
Large-font labels for easy reading
Automatically clears and redraws cleanly each day
Summary
This tool creates a clear, minimalistic, right-side daily candlestick complete with OHLC labels and centralized wick.
It’s designed to improve chart clarity and support quick decision-making without blocking price candles.
MTF OB & FVG detector w/ Alerts v2# MTF Order Blocks & Fair Value Gaps Detector with Alerts v2
## Overview
This indicator combines **Multi-Timeframe Order Blocks (OB)** and **Fair Value Gaps (FVG)** detection with integrated bounce alerts. It displays Order Blocks and Fair Value Gaps across multiple timeframes simultaneously and generates real-time alerts when price bounces from these critical zones.
## Key Features
### 🎯 Multi-Timeframe Order Blocks Detection
- **Volumetric Analysis**: Each Order Block displays total volume and dominant side percentage
- **Multiple Timeframes**: Supports 1min, 3min, 5min, 15min, and 60min timeframes
- **Smart Combining**: Automatically merges overlapping Order Blocks from different timeframes into powerful confluence zones
- **Dynamic Extension**: Order Blocks extend until broken, providing clear visual guidance
- **Volume Distribution**: Shows bullish vs bearish volume breakdown with percentage
### 📊 Fair Value Gaps (FVG) Detection
- **Lightweight Processing**: Works on current chart timeframe only for optimal performance
- **Volume Metrics**: Displays FVG volume and dominant side percentage
- **Mitigation Tracking**: Automatically tracks when FVGs are filled or broken
- **Customizable Mitigation Source**: Choose between close price or high/low wicks
### 🔔 Comprehensive Alert System
- **Bounce Alerts**: Get notified when price bounces from OB or FVG zones
- **New Formation Alerts**: Alerts when new Order Blocks or Fair Value Gaps form
- **Combined Zone Alerts**: Special alerts when multiple Order Blocks merge into strong confluence zones
- **Customizable Thresholds**: Set minimum number of combined OBs required for strong zone alerts
### 🎨 Visual Customization
- **Inverted Color Schemes**: Optional inverted colors for both OB and FVG
- OB: Choose between traditional (Bullish=Blue, Bearish=Red) or inverted (Bullish=Red, Bearish=Blue)
- FVG: Choose between Bullish=Orange/Bearish=Aqua or inverted
- **Clean Labels**: Shows timeframe, zone type, volume, and dominant percentage
- **Combined Tags**: Optional labels for merged zones
- **Adjustable Extension**: Control how far zones extend into the future
## How It Works
### Order Blocks
Order Blocks identify institutional trading zones where large players have placed significant orders. The indicator:
1. Detects swing highs/lows using configurable swing length
2. Identifies the last opposing candle before a strong move
3. Analyzes volume distribution (bullish vs bearish)
4. Tracks zone validity until price breaks through
5. Combines overlapping zones from multiple timeframes
### Fair Value Gaps
Fair Value Gaps represent price imbalances that often get filled. The indicator:
1. Identifies 3-candle patterns with gaps between candles
2. Filters gaps by size percentile to show only significant ones
3. Calculates volume distribution within the gap
4. Tracks mitigation when price returns to fill the gap
5. Extends gaps dynamically until filled
### Bounce Detection
The indicator detects bounces using a two-step process:
1. **Touch Phase**: Tracks when price enters a zone (touchedInside flag)
2. **Bounce Phase**: Confirms bounce when price exits the zone in the expected direction
- Bullish zones: Price closes above top after touching inside
- Bearish zones: Price closes below bottom after touching inside
## Settings Guide
### General Configuration
- **Show Historic Zones**: Display invalidated/broken zones
- **Zone Invalidation**: Choose between wick or close for break detection
- **Combine Overlapping Order Blocks**: Merge OBs from different timeframes
- **Swing Length**: Controls sensitivity (smaller = more OBs, larger = fewer OBs)
- **Zone Count**: Choose from High/Medium/Low/One per timeframe
- **Invert Colors OB**: Swap bullish/bearish color scheme
### Alert Settings
- **Enable Alerts**: Master switch for all alerts
- **Alert on Bullish/Bearish Bounce**: Choose which bounce directions to monitor
- **Alert on New OB Formation**: Get notified when new Order Blocks form
- **Alert on Combined OBs**: Alerts for strong confluence zones
- **Min OBs for Strong Zone Alert**: Threshold for combined zone alerts (default: 2)
### Fair Value Gaps
- **Show Fair Value Gaps**: Toggle FVG display
- **FVG Mitigation Source**: Choose close or high/low for mitigation detection
- **Bullish/Bearish FVG**: Enable/disable each type
- **Invert FVG Colors**: Swap FVG color scheme
### Multi-Timeframe
- **Show Lower Timeframes**: Display OBs from timeframes lower than chart
- **Individual Timeframe Toggles**: Enable/disable 1min, 3min, 5min, 15min, 60min
### Style
- **Text Color**: Customize label text color
- **Extend Zones**: Set extension length in bars (default: 40)
- **Show Tag**: Display combined indicator in merged zone labels
## Usage Tips
### For Day Trading
- Enable 1min, 3min, and 5min timeframes
- Use "High" zone count for more trading opportunities
- Watch for bounces from combined zones (highest probability)
### For Swing Trading
- Enable 15min, 60min, and higher timeframes
- Use "Medium" or "Low" zone count for major zones only
- Focus on combined zones with 3+ timeframes
### For Scalping
- Use current timeframe only (disable MTF)
- Enable both OB and FVG
- Set up alerts for quick bounce notifications
### Alert Setup
1. Click "Create Alert" in TradingView
2. Choose from available alert conditions:
- **Bullish Bounce (OB/FVG)**: Long entry opportunities
- **Bearish Bounce (OB/FVG)**: Short entry opportunities
- **New OB Formation**: Early zone identification
- **Strong Combined Zone**: High-probability confluence areas
3. Set alert frequency to "Once Per Bar Close" to avoid false signals
## Technical Details
### Performance Optimizations
- Maximum 100 boxes/labels for efficient rendering
- Lightweight FVG processing on current timeframe only
- Dynamic memory management with array size limits
- Selective rendering of active zones only
### Calculations
- **ATR Multiplier**: Zones exceeding 3.5x ATR are filtered out
- **Volume Percentage**: `max(bullVol, bearVol) / totalVolume × 100`
- **FVG Size Filter**: Uses 100th percentile of last 1000 gaps
- **Overlap Detection**: Uses intersection/union ratio for combining zones
## Credits & License
This indicator combines and enhances concepts from:
- "Volumized Order Blocks" methodology
- "Volumatic Fair Value Gaps" approach
**License**: Mozilla Public License 2.0 (MPL-2.0)
## Disclaimer
This indicator is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
## Version History
**v2 (Current)**
- Combined OB and FVG into single indicator
- Added comprehensive alert system
- Improved performance with lightweight FVG processing
- Enhanced bounce detection with touch-inside logic
- Added volume metrics to zone labels
- Implemented dynamic zone extension until broken
- Added combined zone detection with configurable thresholds
---
### Chart Examples
The indicator displays:
- **Red Zones** (Inverted): Bullish Order Blocks / Bearish FVGs
- **Blue Zones** (Inverted): Bearish Order Blocks / Bullish FVGs
- **Orange Zones** (Inverted): Bullish Fair Value Gaps
- **Aqua Zones** (Inverted): Bearish Fair Value Gaps
Each zone shows:
- Timeframe label (e.g., "5m", "15m", "1H")
- Zone type (OB or FVG)
- Total volume in millions (e.g., "12.5M")
- Dominant side percentage (e.g., "85%")
**Example Label**: ` 5m & 15m OB 45.2M (78%)`
- Combined zone from 5min and 15min timeframes
- Order Block type
- 45.2 million total volume
- 78% volume on dominant side
---
## Support & Updates
For issues, suggestions, or questions, please leave a comment on the indicator page.
**Author**: © rasukaru666
**Compatible with**: TradingView Pine Script v6
EMA 20/50/200 - Warning Note Before Cross EMA 20/50/200 - Smart Cross Detection with Customizable Alerts
A clean and minimalistic indicator that tracks three key Exponential Moving Averages (20, 50, and 200) with intelligent near-cross detection and customizable warning system.
═══════════════════════════════════════════════════════════════════
📊 KEY FEATURES
✓ Triple EMA System
• EMA 20 (Red) - Fast/Short-term trend
• EMA 50 (Yellow) - Medium/Intermediate trend
• EMA 200 (Green) - Slow/Long-term trend & major support/resistance
✓ Smart Near-Cross Detection
• Get warned BEFORE crosses happen (not after)
• Adjustable threshold percentage (how close is "close")
• Automatic hiding after cross to prevent false signals
• Configurable lookback period
✓ Dual Warning System
• Price Label: Appears directly on chart near EMAs
• Info Table: Positioned anywhere on your chart
• Both show distance percentage and direction
• Dynamic positioning to avoid blocking candles
✓ Color-Coded Alerts
• GREEN warning = Bullish cross approaching (EMA 20 crossing UP through EMA 50)
• RED warning = Bearish cross approaching (EMA 20 crossing DOWN through EMA 50)
✓ Cross Signal Detection
• Golden Cross (EMA 50 crosses above EMA 200)
• Death Cross (EMA 50 crosses below EMA 200)
• Fast crosses (EMA 20 and EMA 50)
═══════════════════════════════════════════════════════════════════
⚙️ CUSTOMIZATION OPTIONS
Warning Settings:
• Custom warning text for bull/bear signals
• Adjustable opacity for better visibility
• Toggle distance and direction display
• Flexible table positioning (9 positions available)
• 5 text size options
Alert Settings:
• Golden/Death Cross alerts
• Fast cross alerts (20/50)
• Near-cross warnings (before it happens)
• All alerts are non-repainting
Display Options:
• Show/hide each EMA individually
• Toggle all signals on/off
• Adjustable threshold sensitivity
• Dynamic label positioning
═══════════════════════════════════════════════════════════════════
🎯 HOW TO USE
1. ADD TO CHART
Simply add the indicator to any chart and timeframe
2. ADJUST THRESHOLD
Default is 0.5% - increase for less frequent warnings, decrease for earlier warnings
3. SET UP ALERTS
Create alerts for:
• Near-cross warnings (get notified before the cross)
• Actual crosses (when EMA 20 crosses EMA 50)
• Golden/Death crosses (major trend changes)
4. CUSTOMIZE APPEARANCE
• Change warning text to your language
• Adjust opacity for your chart theme
• Position table where it's most convenient
• Choose label size for visibility
═══════════════════════════════════════════════════════════════════
💡 TRADING TIPS
- Use the near-cross warning to prepare entries/exits BEFORE the cross happens
- Green warning = Prepare for potential long position
- Red warning = Prepare for potential short position
- Combine with other indicators for confirmation
- Higher timeframes = more reliable signals
- Warning disappears after cross to avoid confusion
═══════════════════════════════════════════════════════════════════
🔧 TECHNICAL DETAILS
- Pine Script v6
- Non-repainting (all signals confirm on bar close)
- Works on all timeframes
- Works on all instruments (stocks, crypto, forex, futures)
- Lightweight and efficient
- No external data sources required
═══════════════════════════════════════════════════════════════════
📝 SETTINGS GUIDE
Near Cross Settings:
• Threshold %: How close EMAs must be to trigger warning (default 0.5%)
• Lookback Bars: Hide warning for X bars after a cross (default 3)
Warning Note Style:
• Text Size: Tiny to Huge
• Colors: Customize bull/bear warning colors
• Position: Place table anywhere on chart
• Opacity: 0 (solid) to 90 (very transparent)
Price Label:
• Size: Tiny to Large
• Opacity: Control transparency
• Auto-positioning: Moves to avoid blocking candles
Custom Text:
• Bull/Bear warning messages
• Toggle distance display
• Toggle direction display
═══════════════════════════════════════════════════════════════════
⚠️ IMPORTANT NOTES
- Warnings only appear BEFORE crosses, not after
- After a cross happens, warning is hidden for the lookback period
- Adjust threshold if you're getting too many/too few warnings
- This is a trend-following indicator - best used with confirmation
- Always use proper risk management
═══════════════════════════════════════════════════════════════════
Happy Trading! 📈📉
If you find this indicator useful, please give it a boost and leave a comment!
For questions or suggestions, feel free to reach out.
