Market Internals SPY[TP]# Market Internals SPY Dashboard - TradingView Publication
## 📊 Overview
**Market Internals SPY ** is a comprehensive multi-factor market sentiment dashboard designed specifically for SPY (S&P 500 ETF) traders. This indicator combines four powerful market breadth signals into one easy-to-read interface, helping traders identify high-probability setups and avoid false breakouts.
---
## 🎯 What Makes This Indicator Unique?
Unlike single-indicator tools, this dashboard synthesizes **multiple market internals** to provide confluence-based trading signals:
- **CPR (Central Pivot Range)** - Institutional pivot levels
- **VIX (Volatility Index)** - Fear gauge
- **Put/Call Ratio** - Options sentiment with dynamic crossover alerts
- ** USI:ADD (Advance/Decline Line)** - Market breadth strength
All presented in a clean, real-time dashboard with visual alerts directly on your chart.
---
## 📈 Key Features
### 1. **Static Daily CPR Levels**
- Automatically plots Top CPR, Pivot, and Bottom CPR
- Levels remain fixed throughout the trading day (no repainting)
- **Trend Bias Indicator**: Green = Current Pivot > Previous Pivot (Bullish structure)
### 2. **Put/Call Ratio Crossover System**
- 10-period SMA smoothing for cleaner signals
- **Bullish Signal** (Green background): Put/Call crosses below SMA
- Indicates decreasing hedging activity (bullish)
- **Bearish Signal** (Red background): Put/Call crosses above SMA
- Indicates increasing hedging activity (bearish)
### 3. **Price/Breadth Divergence Detection**
- **Yellow Candles**: Highlight when price and USI:ADD diverge
- Price rising but USI:ADD falling = Potential reversal
- Price falling but USI:ADD rising = Possible bottom
### 4. **Comprehensive Real-Time Dashboard**
A top-right table displaying:
- **CPR Trend Bias**: Bullish/Bearish structure
- **VIX Level**: Current value + directional bias
- **Put/Call Ratio**: Live value + trend arrows
- **AD Line**: Breadth strength with directional indicators
### 5. **Intelligent Bar Coloring**
- **Green bars**: USI:ADD rising (breadth improving)
- **Red bars**: USI:ADD falling (breadth deteriorating)
- **Yellow bars**: Divergence warning (potential reversal)
---
## 🔧 How to Use
### Setup Instructions
1. **Add to Chart**: Apply to SPY on your preferred intraday timeframe (5m, 15m, 30m, 1H)
2. **Configure Symbols** (if needed):
- Default settings work for most platforms
- If "PCC" doesn't load, try: `PCCR`, `INDEX:PCC`, `USI:PCC`, or `CBOE:PCC`
- Ensure you have market internals data access ( USI:ADD , VIX)
### Trading Signals
#### 🟢 **Bullish Confluence** (High-Probability Long Setup)
- CPR Trend = BULLISH
- VIX falling or low (<20)
- Put/Call below SMA (or green background crossover)
- USI:ADD rising (green bars)
- **Entry**: Look for bullish price action at support levels
#### 🔴 **Bearish Confluence** (High-Probability Short Setup)
- CPR Trend = BEARISH
- VIX rising or elevated (>25)
- Put/Call above SMA (or red background crossover)
- USI:ADD falling (red bars)
- **Entry**: Look for bearish rejection at resistance
#### ⚠️ **Divergence Warning**
- Yellow candles indicate mismatch between price and breadth
- Consider profit-taking or reversals when divergence appears at extremes
### Best Practices
- **Multi-Timeframe Confirmation**: Check higher timeframes (4H, Daily) for trend alignment
- **Volume Confirmation**: Combine with volume analysis for stronger signals
- **Risk Management**: Always use stop losses; no indicator is 100% accurate
- **News Awareness**: Be cautious around major economic releases
---
## 📚 Understanding the Components
### CPR (Central Pivot Range)
Traditional floor trader pivot levels calculated from previous day's High, Low, Close:
- **Pivot (PP)** = (High + Low + Close) / 3
- **Top CPR (TC)** = (PP - BC) + PP
- **Bottom CPR (BC)** = (High + Low) / 2
### VIX (Volatility Index)
- **< 15**: Complacency, potential for sudden moves
- **15-20**: Normal conditions
- **20-30**: Elevated uncertainty
- **> 30**: High fear, potential bottoming process
### Put/Call Ratio
- **< 0.7**: Excessive optimism (contrarian bearish)
- **0.7-1.0**: Balanced sentiment
- **> 1.0**: Defensive positioning (contrarian bullish potential)
### USI:ADD (NYSE Advance/Decline)
- **> 0**: More stocks advancing than declining (bullish breadth)
- **< 0**: More stocks declining than advancing (bearish breadth)
- **Extreme readings** (±2000+): Potential exhaustion
---
## ⚙️ Customization Options
### Input Parameters
- **AD Line Symbol**: Default "ADD" (try "ADVN" or "NYSE:ADD" if needed)
- **VIX Symbol**: Default "VIX" (try "CBOE:VIX" if needed)
- **Put/Call Symbol**: Default "PCC" (alternatives listed above)
### Color Scheme
- Blue: CPR levels
- Purple: Pivot point
- Green: Bullish signals/backgrounds
- Red: Bearish signals/backgrounds
- Yellow: Divergence warnings
---
## 💡 Pro Tips
1. **Wait for Confluence**: Don't trade on a single indicator - wait for 3+ signals to align
2. **Use CPR as Dynamic S/R**: Price tends to react at TC and BC levels
3. **Watch the Crossovers**: Put/Call crossovers often precede significant moves
4. **Monitor Divergences**: Yellow candles at key levels are high-value signals
5. **Combine with Price Action**: This tool confirms direction - you still need entry triggers
---
## ⚠️ Limitations & Disclaimers
- Requires **premium data** for USI:ADD and VIX on most platforms
- Best suited for **intraday SPY trading** (may adapt to other indices)
- **Not a standalone system** - use with proper risk management
- Past performance does not guarantee future results
- Always backtest before live trading
---
## 🎓 Example Scenario
**Bullish Setup**:
- 9:45 AM EST: Price pulls back to Bottom CPR
- Dashboard shows: ✅ Bullish CPR Bias, ✅ VIX 16.5 (falling), ✅ Put/Call 0.68 ⬇️ Bull, ✅ USI:ADD +850 ⬆️
- Green background flashes (Put/Call crossunder)
- **Action**: Enter long at BC with stop below TC of previous day
---
## 📊 Ideal Timeframes
- **Primary**: 5-minute, 15-minute (day trading)
- **Secondary**: 30-minute, 1-hour (swing entries)
- **Confirmation**: Daily chart for trend context
---
## 🔄 Updates & Support
This indicator is actively maintained. If you encounter symbol loading issues:
1. Check your data provider includes market internals
2. Try alternative symbols in inputs
3. Ensure you're using a premium TradingView plan (if required)
---
## 📝 Version Information
- **Version**: 5 (Pine Script v5)
- **Type**: Overlay Indicator
- **Author**: tapaspattanaik
- **Category**: Market Internals / Breadth Analysis
---
## 🏆 Final Thoughts
This indicator is designed for **serious traders** who understand that edge comes from confluence, not single signals. By combining institutional pivot levels with real-time market internals, you gain a significant advantage in reading market sentiment and timing entries with precision.
**Remember**: The best trades happen when multiple independent factors align. Use this dashboard to find those moments.
---
## 📌 How to Add This Indicator
1. Open TradingView and navigate to Pine Editor
2. Copy the complete script code
3. Click "Add to Chart"
4. Configure symbols if needed (see Setup Instructions above)
5. Adjust position/colors to your preference
---
**Happy Trading! 📈**
*This indicator is for educational purposes. Always manage risk appropriately and never risk more than you can afford to lose.*
---
### Tags
`#SPY` `#MarketInternals` `#CPR` `#VIX` `#PutCallRatio` `#BreadthAnalysis` `#DayTrading` `#SwingTrading` `#TechnicalAnalysis` `#PivotPoints`
Biến động Lịch sử
Volatix Range Map LITEVolatix Range Map LITE provides traders with a simple way to visualize intraday expected high and low zones based on daily volatility. By anchoring to the daily open and scaling ranges with the ATR, the indicator highlights the areas where price is likely to fluctuate during the session.
This LITE version gives you essential daily context, while advanced features like weekly levels, custom anchors, and win-rate stats are reserved for the PRO version. It’s ideal for traders who want a clean, visual reference for intraday price ranges without cluttering the chart.
Quick Features (Snapshot)
Daily volatility range mapping using ATR
Expected High and Low zones visualized as shaded boxes
Automatic daily anchoring to the Daily Open
Optional zone labels and information dashboard
Lightweight, overlay-friendly design
Feature Breakdown (In Depth):
ATR-Based Daily Zones
The core calculation uses the Average True Range (ATR) of the previous day to define expected upper and lower bounds for the current session. This gives traders a probabilistic sense of where price may travel.
Daily Open Anchor
All ranges are anchored to the daily open, providing a consistent reference point for session volatility. This ensures the LITE version is simple and reliable.
Visual Boxes
Expected High Zone → shaded green box
Expected Low Zone → shaded red box
Boxes update dynamically throughout the session
Optional text labels display EXP HIGH / EXP LOW
Dashboard Overview
The LITE dashboard highlights which PRO features are locked:
Win-rate statistics
Weekly levels
Custom anchors
This encourages users to upgrade while providing essential session information.
Settings Review:
ATR Lookback (Locked)
Defines the period used to calculate ATR for daily ranges. LITE version fixes this at 14 periods for simplicity.
Anchor Mean (Locked)
Daily Open is the default anchor for LITE. PRO allows other anchors like VWAP.
Show Labels
Toggle text labels for high/low zones.
Show Weekly Lines
Disabled in LITE; PRO includes multi-session weekly levels.
Show Info Dashboard
Displays a simple table of available features and PRO upgrades.
Best Practices
Use Volatix Range Map LITE as a session guide, not an entry signal
Combine with price action, trend analysis, or other indicators
Focus on current session ranges; LITE is limited to daily timeframe
Reserve strategy decisions for confirmed breakouts or trend alignment
Upgrade to PRO for multi-timeframe context, custom anchors, and statistics
Who Volatix Range Map LITE is For
Intraday traders who want a quick visual of daily price ranges
Beginners learning volatility and session dynamics
Traders who want lightweight, non-intrusive chart overlays
Users evaluating Volatix PRO for advanced features
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
Trading carries inherent risks. Past performance does not guarantee future results. By using Volatix Pulse Map LITE you acknowledge that all trading decisions are your own. The creators of this indicator are not responsible for any gains or losses resulting from the use of this tool.
✨ Access:
If you find this Volatility tool useful, consider adding it to your favorites and sharing feedback. Check out our other indicators available at our website.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Volatix Pulse EngineAdvanced Volatility Intelligence
Volatix Pulse Engine is an advanced volatility framework built to help traders identify market regimes, volatility compression, and expansion across multiple timeframes.
By normalizing volatility, ranking it historically, and aligning lower-timeframe activity with higher-timeframe conditions, Volatix Pulse Engine provides structured insight into when to wait, prepare, or engage.
This tool is designed for traders who want volatility to guide decision-making, not just decorate the chart.
Key Features (Quick View):
Normalized volatility (% of price)
Volatility percentile ranking
Squeeze (compression) detection
Multi-timeframe volatility confirmation
Real-time dashboard summary
Built-in alerts
Feature Breakdown (In Depth):
Normalized Volatility Engine
Volatility can be calculated as a percentage of price, allowing consistent readings across:
Stocks
Crypto
Forex
Futures
This ensures volatility comparisons remain meaningful regardless of asset price.
Volatility Rank & Market Regimes
Volatility is ranked relative to its own historical distribution. This reveals whether current conditions are:
Extremely quiet
Average
Historically elevated
The indicator classifies market regimes into:
Quiet
Squeezing (Compression)
Expanding
Squeeze Detection
When volatility falls into the lowest historical percentiles, Volatix Pulse Engine flags a squeeze condition. These environments often precede expansion and are ideal for preparation rather than execution.
Multi-Timeframe Volatility Context
Higher-timeframe volatility is analyzed independently and compared to its average. This helps traders determine whether lower-timeframe setups are supported by broader market conditions.
Volatility Dashboard
An integrated dashboard displays:
Current market mode
Higher-timeframe volatility state
Volatility rank
Contextual insight (WAIT / PREPARE / RIDE TREND)
This allows for fast decision-making without interpretation overload.
Alerts
Volatility squeeze initiation
Volatility expansion crossover
Alerts allow traders to monitor multiple markets efficiently.
Settings Review:
Lookback Period
Defines the volatility calculation window.
Lower values → faster regime shifts
Higher values → smoother structural context
Normalize to %
When enabled, volatility is calculated as a percentage of price for cross-asset consistency.
Higher-Timeframe (HTF) Context
Select the timeframe used for macro volatility confirmation.
Color Settings
Customize regime colors for personal clarity and chart style.
Best Practices:
Use Pulse Engine as a strategy filter, not an entry trigger
Favor breakout and trend strategies during expansion regimes
Avoid overtrading during quiet or conflicting MTF conditions
Let squeeze alerts signal preparation, not immediate execution
Combine with price structure and risk management rules
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
Trading carries inherent risks. Past performance does not guarantee future results. By using Volatix Pulse Engine you acknowledge that all trading decisions are your own. The creators of this indicator are not responsible for any gains or losses resulting from the use of this tool.
✨ Access:
If you find this Volatility tool useful, consider adding it to your favorites and sharing feedback. Check out our other indicators available at our website.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Volatix Pulse Engine LITEVolatility Awareness Made Simple
Volatix Pulse Engine LITE is a lightweight volatility visualization tool designed to help traders quickly identify whether the market is calm or active.
Rather than focusing on price direction, Volatix LITE measures the magnitude of price movement and compares it to historical conditions. This allows traders to better understand when the market environment supports breakouts, trends, or when patience is required.
Volatix LITE is intentionally simple, making it ideal as a first layer of volatility context or a companion to existing strategies.
Key Features (Quick View):
Standard deviation–based volatility measurement
Automatic high vs low volatility regime detection
Dynamic color-coded volatility line
Clean, uncluttered visual design
Works on all assets and timeframes
Feature Breakdown (In Depth):
Volatility Engine
Volatix LITE calculates volatility using the standard deviation of price over a user-defined lookback period. This provides a direct measurement of how much price is moving, independent of direction.
Regime Awareness
Current volatility is compared against its own moving average. When volatility exceeds its average, the indicator visually signals a high-volatility regime, helping traders recognize expanding market conditions.
Visual Feedback
The volatility line dynamically changes color based on regime
Subtle background highlighting reinforces high-volatility periods
Designed to be readable at a glance without distracting from price
Settings Review:
Lookback Period
Controls how much historical data is used to calculate volatility.
- Shorter values → more reactive
- Longer values → smoother, more stable readings
Standard Deviation Multiplier
Used internally to scale volatility sensitivity.
High / Low Volatility Colors
Customize visual appearance to fit your chart theme.
Best Practices:
Use Volatix LITE as a context filter, not a signal generator
Avoid forcing breakout strategies during low-volatility regimes
Pair with trend or momentum tools for confirmation
Higher timeframes provide cleaner regime transitions
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
Trading carries inherent risks. Past performance does not guarantee future results. By using Volatix Pulse Engine LITE you acknowledge that all trading decisions are your own. The creators of this indicator are not responsible for any gains or losses resulting from the use of this tool.
✨ Access:
If you find this tool useful, consider adding it to your favorites and sharing feedback. Check out our other indicators available at our website.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Volatility ES/NQ VIX Bands System StrategyVIX Time Band Strategy for ES and NQ
Version and compatibility
Pine Script v6 used
All higher timeframe calls use request.security with lookahead off
Strategy execution uses standard candles only
UI text is English
Summary in one paragraph
This is a volatility anchored strategy for ES and NQ designed for the 5 minute chart. It combines two complementary entry modes inside one engine. The primary mode is a time driven directional trigger based on the session held VIX percentile change and basic candle direction. If that trigger does not fire, a fallback mode allows a single band based entry when price reaches a VIX implied session move level. The core novelty is treating implied volatility as the first class input, building a session anchored expected move framework, and using that framework to decide when trading is allowed. Add it to a clean chart, keep the bands visible, and use bar close alerts for conservative operation. Intrabar values can update while a bar forms and settle on close.
Scope and intent
Markets ES and NQ index futures
Timeframes Optimized for 5 minute charts
Default demo used in publication ES or NQ on 5 minute, standard candles
Purpose Provide a volatility first decision framework that trades only when conditions align and exits ahead of session end
Limits This is a strategy. Orders are simulated by TradingView on standard candles only
Originality and usefulness
Unique concept or fusion Session held VIX implied move bands combined with a time based directional trigger, where the band logic acts as a controlled fallback instead of constant signal spam
What failure mode it addresses Avoids trading the middle of the range without context and reduces participation during sessions that do not reach volatility defined locations
Testability Core components are exposed as Inputs, and the plotted bands show exactly what the strategy is reacting to
Portable yardstick Implied move is derived from VIX annualized volatility converted to a daily unit using sqrt(252), then anchored to the session open
Protected scripts If published as protected, the implementation is kept private to prevent low effort cloning while the full method and usage are disclosed here
Method overview in plain language
Base measures
Implied volatility input VIX daily close is treated as annualized volatility in percent
Conversion to daily move VIX is converted to an approximate daily standard deviation using VIX divided by sqrt(252)
Session anchor Bands are anchored to the configured session open and held constant through the session
Components
VIX Percentile held at session open A rolling daily array stores the last N VIX closes and computes percentile rank from 0 to 100. The value is sampled at the first bar of the configured trading session and held for the entire session.
Two implied move band sets A narrower band set is used for the time logic exits and a wider band set is used for the band entry sizing and breach limits. Both are derived from the same daily implied move unit and remain static throughout the session.
Time entry mode A directional entry can trigger early based on the session held VIX percentile change compared to the prior value, with an optional green candle requirement for long.
Band fallback mode If no time entry happens for the session, one controlled entry is allowed when price reaches a percentile mapped location inside the VIX implied move framework.
Session windows Trading is only allowed inside the configured trading session and the strategy exits inside the configured exit window.
Fusion rule
The engine runs two entry logics with a strict priority rule
If the time logic enters, the band fallback is disabled for that session
If the time logic does not enter, the band fallback is allowed once per session when price reaches the mapped level
Signal rule
Time Long Triggers when the held VIX percentile is lower than its prior value and the candle filter allows it
Time Short Triggers when the held VIX percentile is higher than its prior value and above the configured threshold
Band Long If no time entry occurred, triggers once when price reaches the lower mapped band location and the percentile is in the lower zone
Band Short If no time entry occurred, triggers once when price reaches the upper mapped band location and the percentile is in the upper zone
What you will see on the chart
Two horizontal bands that represent the session anchored implied move levels
A session open reference line
Optional entry level lines for the band mode
Order markers for time entries and band entries, plus exit markers when stops or targets are hit
Optional background shading tied to the VIX percentile zones
Inputs with guidance
VIX
VIX symbol Default CBOE:VIX
Daily lookback Default 252. Higher values smooth percentile behavior and reduce regime flipping
Session
Trading session Sets when the system can enter and manage trades
Exit window Forces flat positions inside this window to reduce end of day tail risk
Session timezone Must match the intended exchange session timing
Bands
Use previous daily VIX close Uses the last completed daily VIX value for stability
Annual to daily using sqrt(252) Converts annualized VIX into a daily unit
Band mult for Time exits Controls how tight the directional exit bands are
Band mult for Band entry sizing Controls how far away band entry locations and breach buffers are
Time Logic
Time short threshold (VIX pct) Higher values reduce short frequency
Time long requires green candle When enabled, long time entries require close above open
Band Entry
Band short zone starts (pct) Typical range 60 to 80. Higher means fewer short band entries
Band long zone ends (pct) Typical range 20 to 40. Lower means fewer long band entries
Breach buffer (fraction of implied move) Controls how far beyond the band a hard failure stop is placed
Band TP target Session Open is the default. VWAP can be used as an alternative mid target
Band time stop minutes Forces exit if the band trade does not resolve within the set time
Usage recipes
Intraday trend focus
Band mult for Time exits: 0.5 to 0.75
Time short threshold: 80 to 95
Band zones tighter: 75 and 25
Intraday mean reversion focus
Band mult for Band entry sizing: 0.75 to 1.25
Band short zone starts: 60 to 70
Band long zone ends: 30 to 40
Breach buffer: 0.15 to 0.25
Higher sensitivity mode
Reduce Daily lookback to 126 to make percentile adapt faster
Use a tighter Band mult for Band entry sizing to increase touches
Alerts
Use the strategy order alerts for entries and exits
Behavior. Alerts evaluate in real time and can update while the bar forms. For conservative workflows select on bar close
Chart cleanliness and reproduction
Open ES or NQ on the 5 minute chart with standard candles
Add VIX Time|Band and load defaults
Confirm Properties match the publication settings below
Run Strategy Tester on bar close
Properties visible in this publication
Initial capital 25000
Default order size method Fixed with value 1
Pyramiding 0
Commission 0.01 percent
Slippage 3 ticks
Process orders on close ON
Using standard OHLC ON
All request.security calls use lookahead off
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes
Fills and slippage vary by venue and market conditions
Intrabar reminder. Orders and shapes can update while a bar forms and settle on close
Non standard chart types are not supported for strategies
Honest limitations and failure modes
High impact economic releases can invalidate implied move assumptions and cause band breaches
Fast expansion regimes can reduce containment style expectancy when price trends beyond bands
Very quiet regimes may reduce band touches and lower trade frequency
Session windows use the exchange time of the chart and must be verified when changing symbols or venues
If both stop and target can be hit within one bar, TradingView backtester tie handling applies and can differ from live fills
Open source reuse and credits
None
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy notice
Orders are simulated by the TradingView engine on standard candles. request.security uses lookahead off everywhere. Non standard chart types are not supported for strategies.
Entries and exits
Entry logic Time entry mode triggers first based on the held VIX percentile change and thresholds. If no time entry occurs, a single band entry can trigger when price reaches the percentile mapped band location in the allowed zone.
Exit logic Time entries use the time band set for profit and stop. Band entries target the session open or VWAP and stop out on a breach beyond the implied band plus buffer or a time stop.
Tie handling If stop and target are hit in the same bar, TradingView strategy tester rules apply
Account and sizing assumptions used in this publication
For the examples shown in this publication, the strategy is configured with an initial capital of 25,000 to approximate a small intraday futures account under typical day trading margin assumptions. Position sizing is fixed to the minimum of one contract to keep exposure simple and conservative and to avoid compounding effects that can distort backtest interpretation. These settings are used only to standardize the simulation and make results easier to compare across sessions and market conditions. They do not imply suitability for any specific account size or trading arrangement, and users should adapt capital and sizing to their own risk constraints and broker requirements.
Finanja RangeFlow📊 Finanja RangeFlow
This indicator provides essential trading levels and market analysis tools to help with your trading decisions.
🌟 Advanced Version Available!
Upgrade to the Pro version for enhanced features:
Advanced signal filtering
Additional features
Exclusive trading tools
🔗 Get Pro Version::
💬 Questions? Comment on our YouTube channel for details
Note: This is the basic/free version. For full features and enhanced performance, consider the Advanced Pro version available on our website.
Finanja Breakout Labels📊 Finanja Breakout Labels :: **Feature Highlight: Smart Breakout Labels – Your FOMO Controller**
Don't chase breakouts and lose money to emotional trading. Our **Smart Breakout Labels** automatically detect when price breaks through a key zone and immediately display a crucial reminder:
**" Resistance/Support Broken"**
➡️ **"Wait for Retest – Check Volume/OI"**
**Why This Matters:**
- 🚫 **Stops Chase Trades:** Prevents entering at weak, extended prices
- ⏳ **Enforces Discipline:** Teaches patience for the retest confirmation
- 📊 **Reduces False Signals:** Filters out fake breakouts by 60%+
- 🎯 **Improves Entries:** Wait for price to return and reject the broken level
**How It Works:**
1. Price closes beyond a Daily/Weekly/Monthly zone
2. Label appears with retest instruction
3. Wait for price to return to broken level
4. Enter ONLY on rejection candlestick pattern
**Perfect For:**
- Traders who struggle with FOMO (Fear Of Missing Out)
- Those who frequently enter late at weak breakout points
- Anyone wanting systematic, rule-based breakout trading
**TradingView Settings:**
Simply enable "Show Breakout Labels" in inputs. Works on all timeframes and symbols.
*Trade smarter, not harder. Let the labels guide your discipline.*
Main Indicator of Finanja FIb Zones :
Study Most of the stock related things in this website
sites.google.com
YouTube :: Like Share ,Subscribe ,Comment on Youtube for Users guide
youtube.com/@finanja
This indicator provides essential trading signals and market analysis tools to help with your trading decisions.
🌟 Advanced Version Available!
Upgrade to the Pro version for enhanced features:
Advanced signal filtering
Custom alert systems
Additional features
Exclusive trading tools
🔗 Get Pro Version: sites.google.com/view/finanja/home
💬 Questions? Comment on our YouTube channel for details
Note: This is the basic/free version. For full features and enhanced performance, consider the Advanced Pro version available on our website.
CapitalFlowsResearch: Returns Regime MapCapitalFlowsResearch: Returns Regime Map — Two-Asset Behaviour & Correlation Lens
CapitalFlowsResearch: Returns Regime Map is a two-asset regime overlay that shows how a primary market and a linked macro series are really moving together over short rolling windows. Instead of just eyeballing two separate charts, the tool classifies each bar into one of four states based on the combined direction of recent returns:
Up / Up
Up / Down
Down / Up
Down / Down
These states are calculated from aggregated, windowed returns (using configurable return definitions for each asset), then painted directly onto the price chart as background regimes. On top of that, the indicator monitors the correlation of the same return streams and can optionally tint periods where correlation sits within a user-defined “low-correlation” band—highlighting moments when the usual relationship between the two series is weak, unstable, or breaking down.
In practice, this turns the chart into a compact co-movement map: you can see at a glance whether price and rates (or any two chosen markets) are trending together, diverging in a meaningful way, or moving in choppy, low-conviction fashion. It’s especially powerful for macro traders who need to frame trades in terms of “risk asset vs. rates,” “index vs. volatility,” or similar pairs—while keeping the actual construction details of the regime logic abstracted.
Ultimate ORB ArchitectThe Ultimate ORB Architect is a high-precision volatility and range-expansion tool designed for intraday traders. It specializes in the Initial Balance (IB)—the high and low established during the first session of the trading day—and projects mathematically significant expansion levels for price discovery.
Unlike standard opening range indicators, this script utilizes a Smart-Swap Calculation Engine, allowing traders to toggle between Standard Deviation and Fibonacci sequences instantly while maintaining a clean, professional chart aesthetic.
Key Features
1. Dual Calculation Engines
- Standard Deviation Mode: Projects targets based on whole-unit range expansions ($1.0, 2.0, 3.0, 4.0$). Ideal for Mean Reversion and classic IB breakout trading.
- Fibonacci Sequence Mode: Projects targets based on the Golden Ratio and its extensions ($0.618, 1.618, 2.618, 4.236$). Perfect for trend exhaustion and harmonic target setting.
2. "Smart-Swap" Internal Levels
The script intelligently adapts its internal support and resistance lines based on your selected mode:
-In SD Mode: Displays 25% and 75% (Quarters)—the standard institutional "Fair Value" levels within a range.
-In Fibonacci Mode: Displays 38.2% and 61.8% (Golden Retracements)—the primary zones for range-bound reversals.
3. Institutional Timing & Projection
Time-Locked Execution: Custom sessions allow you to define the ORB window (e.g., the first 30 or 60 minutes).
5:00 PM EST Hard Cutoff: To prevent "infinite lines" that clutter your chart, all projections are hard-coded to terminate at the NYSE close (17:00 EST), providing a clear visual end to the trading day.
4. Professional Visual Suite
Adaptive Lookback: Choose to view only today’s action for a "clean" chart or look back up to 5 days to analyze historical range behavior.
Customizable Hierarchy: Every level—from the 50% Midpoint to the Level 4 "Runner"—features independent color, style (Solid/Dashed/Dotted), and label size controls.
How to Use
Define the Session: Set your ORB Session (default is 09:30–10:30).
Select Your Mode: Use the Calculation Mode dropdown to switch between Fibonacci or Standard Deviation targets depending on the day’s volatility.
Monitor the Midpoint: The 50% line (Mid) acts as the "Pivot of Power." Price holding above the Mid indicates bullish bias; below indicates bearish bias.
Target the Runner: Use the Level 4 Runner as your ultimate take-profit on high-momentum trend days.
Technical Specifications
Language: Pine Script® V6
Compatibility: Works on all intraday timeframes (1m, 5m, 15m).
Timezone: Optimized for America/New_York (EST) but adaptable to global sessions via inputs.
EEQI [Environment Quality Index] PyraTime The Problem: Why Good Strategies Fail
The number one reason traders lose capital is not a lack of strategy—it is forced execution in poor environments.
Most indicators (RSI, MACD, Stochastic) are continuously active, generating signals even when the market is dead, choppy, or chaotic. A breakout strategy that prints money in a trend will destroy your account in a consolidation range. A mean-reversion system that works in chop will fail during a parabolic expansion.
The Solution: PyraTime EEQI The Execution Environment Quality Index (EEQI) is a "Gatekeeper" layer for your trading. It does not tell you what to buy or sell; it tells you if you should be trading at all.
By aggregating Volatility, Price Structure, and Efficiency into a single composite score, the EEQI answers the most critical question in discretionary trading: "Is the market efficient enough to deploy capital right now?"
How It Works: The 3 Core Engines
The EEQI calculates a raw "Environment Score" (from -2 to +4) by analyzing three distinct dimensions of price action.
1. Volatility Engine (Usability)
The Logic: Measures the "Alive-ness" of the market using ATR Percentiles.
The Filter: It detects "Dead Zones" (where price is too flat to hit targets) and "Chaos Zones" (where volatility is too dangerous).
Smart Feature (Parabolic Override): If price moves significantly (>2x ATR) in a single candle, the engine recognizes this as "High Momentum" rather than chaos, unlocking Green signals during breakouts.
2. Structure Engine (Bar Quality)
The Logic: Analyzes the relationship between candle bodies, wicks, and overlap.
The Filter: It penalizes "Barbed Wire" price action—candles with long wicks and high overlap—which indicate indecision and algo-chop.
The Goal: We want to trade during "Clean Flow," where candle bodies are large and overlap is low.
3. Efficiency Engine (Directional Flow)
The Logic: Compares Net Displacement (start-to-finish distance) vs. Total Distance Traveled.
The Filter: Identifies "Whipsaw" conditions where price moves a lot but goes nowhere.
Smart Feature (Velocity Lock): If price travels a massive distance quickly, the efficiency requirement is relaxed to catch explosive moves that might otherwise look "messy."
The "Smart Gatekeepers"
Even if the Core Engines look good, the EEQI applies three final safety checks before granting a PRIME status.
Regime Persistence (Stability Check): The market must hold a high score for a set number of bars (default: 1) before the signal turns Green. This prevents "fake-outs" where a single anomaly candle tricks you into entering a bad trend.
Volume Validation (Liquidity Check): Price movement without participation is a trap. The EEQI checks Relative Volume (RVOL). If volume is below average (e.g., lunch hour, holidays, or late-night sessions), the score is capped at "Fair" or "Low Vol," preventing execution in thin liquidity.
Macro Context (HTF Filter): You cannot trade against the higher timeframe. The EEQI checks the trend and volatility of the Higher Timeframe (default: Weekly). If the macro view is compressed or dead, the local signal is vetoed.
How to Read the HUD
The Dashboard (Bottom Right) gives you an instant read on the market state.
🟢 PRIME (+4): Execution Optimal. The market is trending, efficient, and backed by volume. This is the "Green Light" for your strategy.
🔵 FAIR (+1 to +3): Tradeable. Conditions are decent, but one factor (e.g., volume or structure) is imperfect. Exercise caution.
⚪ NEUTRAL (0): Indecision. The market is transitioning. Stand aside.
🟡 BUILDING: Wait. The market is good, but hasn't proven itself yet (Persistence Check).
🟠 POOR / LOW VOL: Chop. Price is messy or lacking participation.
🔴 AVOID (-2): Danger Zone. The market is either dead flat or violently chaotic. Do not trade.
Settings & Customization
The indicator comes with calibrated presets for different asset classes:
Crypto: Tolerates higher volatility and requires stronger efficiency confirmation.
Forex: Stricter dead-zone filters to handle ranging sessions.
Indices: Balanced settings for standard equity hours.
Disclaimer
This tool is designed for environment analysis only. It does not provide buy or sell signals, entry prices, or stop-losses. It is intended to be used as a filter to improve the performance of your own discretionary strategies.
Trump Tariff Event StudyThis script plots vertical lines on the days when Trump announced tariff threats
and displays a table showing the 1, 3, and 5 day performance after each event.
Use it on any ticker to see whether the instrument reacts to macro-political news.
Best used on the daily timeframe.
IcebergCryptoX - Week Data Gap📊 BTC WEEKEND DATA COLLECTION
This indicator analyzes Bitcoin movements during weekends when traditional US markets are closed.
🎯 DATA COLLECTED:
- Gap from Friday close → Monday open (%)
- Maximum upward/downward movements during the weekend
- Total weekend range
- Mean reversion rate (return to Friday closing price)
- Movement direction (positive/negative/neutral)
- Historical records (biggest gaps and ranges)
📈 FEATURES:
✓ Colored zones to visually identify weekends
✓ Detailed labels on each weekend with key metrics
✓ Real-time statistics table
✓ Tracking of extremes and averages
✓ 100% data collection (no trading signals)
⚙️ PARAMETERS:
- Display weekend zones (on/off)
- Display labels (on/off)
- Statistics table (on/off)
- Significant movement threshold (customizable)
📉 USAGE:
Ideal for analyzing BTC volatility patterns outside US trading hours and identifying recurring opportunities.
Recommended timeframe: 15min to 1H
Yang-Zhang Stop Lines Yang-Zhang Stop Lines - Advanced Volatility Indicator
📊 Description
The Yang-Zhang Stop Lines is an advanced technical indicator that uses the Yang-Zhang volatility estimator to calculate dynamic stop loss and take profit levels. Unlike traditional methods such as ATR or Bollinger Bands, Yang-Zhang considers multiple components of market volatility, offering a more accurate and robust measurement.
🎯 Key Features
Superior Volatility Calculation:
Implements the complete Yang-Zhang estimator, considering overnight volatility, open-close, and Rogers-Satchell components
More accurate than traditional ATR for markets with gaps and distinct sessions
Automatically adapts to market conditions
Intelligent Levels:
Buy Stop (Green): Lower level calculated for long position protection
Sell Stop (Red): Upper level calculated for short position protection
Mirrored Levels: Additional projections based on daily amplitude
Continuous Bands: Real-time visualization of intraday volatility
Daily Anchoring:
Fixed levels calculated at the beginning of each day
Facilitates trade planning with stable references
Horizontal lines extending throughout the trading session
⚙️ Configurable Parameters
Calculation Timeframe: Defines the period for volatility analysis (default: 60min)
Period: Lookback window for statistical calculations (default: 20)
Multiplier: Adjusts level sensitivity (default: 1.0)
Base Price: Reference for stop calculations (default: close)
Visual Options: Bands, fixed lines, labels, fill, and customizable colors
💡 How to Use
For Day Traders:
Use daily fixed levels as reference for stop loss and targets
Watch for price crossovers at levels for reversal signals
Mirrored levels serve as extended targets
For Swing Traders:
Configure higher timeframes (4h, daily) for medium-term analysis
Use the multiplier to adjust to your risk/reward objectives
Combine with trend analysis and support/resistance
Risk Management:
Position stops just below/above calculated levels
Adjust position size based on amplitude
Monitor the info table to check current volatility
📈 Information Table
The indicator displays in the top-right corner:
Current Yang-Zhang Volatility (in %)
Buy Stop Level
Sell Stop Level
Calculated Amplitude
🔔 Included Alerts
Alert when price crosses Buy Stop
Alert when price crosses Sell Stop
🎨 Visual Customization
Independent colors for each element
Adjustable line width
Optional fill between bands
Optional informative labels
📝 Technical Notes
This indicator correctly implements the complete Yang-Zhang estimator formula, including:
Overnight variance
Open-close variance
Rogers-Satchell component
Optimized k weighting
Ideal for traders seeking a scientific and statistically robust approach to stop definition and volatility analysis.
Compatible with all assets and timeframes. Recommended for liquid markets.
Toby Crabel's HisVolAs in Linda Raschke's Street smarts..... . This indicator shows the signals of Toby Crabel's Historical Volatility 6/100 strategy. The strategy assumes, that volatility contraction measured by two measures would give better results.
There is one other script that is a strategy , but it assumes that the signal requires both inside bar and narrowest range, what is not as in Linda Raschke's.
The strategy and what does the script do:
1) measures short-term unannualized volatility (by default six), long term uannualized volatility (by default 100), and measures the ratio of short volatility / long volatility.
2) checks if the current bar is an inside bar or has narrowest range out of last X bar (by default 4), or both,
3) puts an etiquette if short volatility / long volatility is equal to or smaller than 0,5 AND the day is inside bar, has narrowest range, or both.
Next day both buy-stop and sell-stop should be set. Buy-stop at the high and sell-stop at the low of the bar with etiquette.
This is by no means any financial advice, nor the historical results guarantee future gain.
Allyhshn - OrderFlowAllyhshn – OrderFlow
Dynamic Order Flow, Volume Delta & Price-Based Flow visualization
Is an advanced order flow and volume-by-price visualization indicator designed to work on any TradingView account, using public volume data and lower-timeframe aggregation to approximate professional order-flow behavior.
The script combines delta analysis, dynamic volume (bubbles), price-region (snapshot ladders), real-time flow tracking, delivering a comprehensive snapshot of buyer and seller activity directly on the chart.
1) Core Concept
The indicator estimates order flow by:
* Aggregating volume from lower timeframes.
* Classifying volume as buying or selling pressure.
* Distributing volume into price bins.
* Rendering this information as visual bubbles, ladder tables, and real-time labels.
This approach allows traders to identify:
* Aggressive buying or selling.
* Absorption and institutional participation.
* Acceptance or rejection of price levels.
* High-interest price zones (POC and volume clusters).
2) Order Flow & Delta Calculation
Delta Estimation
* Delta is calculated as the difference between buying and selling volume.
* On second-based charts, delta is computed directly from candle behavior.
* On higher timeframes, delta is reconstructed from lower timeframes
Wick-Based Classification (Optional)
* When enabled, volume classification uses **wick and candle position** rather than only
open/close.
This improves detection of:
* Absorptions;
* Rejections;
* True control of the candle (buyers vs sellers).
3) Delta Normalization & Thresholds
To maintain consistency across different market regimes:
* Absolute delta is normalized using an EMA-based baseline.
* A configurable threshold factor filters out weak or irrelevant volume.
* Only significant aggressions generate visual signals.
This makes signals comparable across:
* Low-volume sessions.
* High volatility.
* News events.
* Consolidation phases.
4) Dynamic Volume Bubbles (Order Flow Visualization)
Bubble Logic
* Buy and sell aggressions are rendered as bubbles on the chart.
* Bubble size dynamically reflects the relative strength of delta.
* Sizes adapt automatically to market conditions.
Real-Time Behavior:
* During the active candle, bubbles:
* Expand as volume accumulates.
* Update continuously.
* Reflect real-time changes in order flow.
* Buy and sell bubbles are mutually exclusive unless both sides are active.
Historical Bubbles:
* Confirmed candles store bubbles in history.
* The total number of displayed bubbles is limited to avoid clutter.
* Optional **institutional-only mode** displays only extreme or absorbed events.
5) Absorption & Institutional Event Detection
The script can isolate high-impact volume events by:
* Requiring delta to exceed a dynamic threshold;
* Filtering only extreme or abnormal volume behavior;
* Highlighting potential institutional absorption zones.
Bubble sizing becomes more aggressive in this mode, emphasizing:
* Large participants.
* Defended price levels.
* Failed auctions.
6) Vertical & Horizontal Positioning
* Bubble placement is offset vertically using ATR-based padding, ensuring clarity.
* Labels and bubbles never overlap candles.
* Horizontal offsets are configurable for right-side labels.
7) Ladder – Order Flow by Price (Flow Snapshot)
Purpose:
The Ladder provides a price-based snapshot of order flow,
similar to a volume profile combined with delta.
Features:
* Aggregates buy, sell, and total volume by price regions (bins).
* Uses fixed tick-based bins for accurate price granularity.
* Automatically adapts to the visible range or fallback lookback.
Range Modes:
*ATR Mode: Ladder range adapts dynamically to volatility.
*ABS Mode: Ladder uses a fixed price range defined by scale and units.
Display Options
* Price level.
* Bought volume.
* Sold volume.
* Total volume.
* Compact number formatting (K/M).
8) Point of Control (POC)
* The ladder automatically identifies the Point of Control.
* The price region with the highest total volume.
* The POC row can be visually highlighted.
This helps identify:
* Acceptance zones.
* Fair value areas.
* High-interest liquidity levels.
9) Real-Time Overlay on Ladder
* The current candle’s live delta is overlayed on the ladder in real time.
* This ensures the ladder always reflects the most current order flow state.
* Traders can see developing volume before candle close.
10) Right Mini Labels – Last Candle Snapshot
A compact label panel on the right side displays:
* Buyers volume.
* Sellers volume.
* Optional total volume.
These values:
* Update in real time.
* Reset at each new candle.
* Reflect only the current bar’s order flow.
This provides a quick, readable snapshot without scanning the entire ladder.
11) Data Management & Performance
* Uses rolling arrays to maintain performance.
* Automatically removes outdated price bins.
* Prevents memory growth with fixed limits.
* Designed to remain stable even on fast markets and low timeframes.
12) Intended Use Cases
This script is suitable for:
* Scalping and intraday trading.
* Identifying absorption and manipulation.
* Confirming breakouts and failures.
* Reading auction behavior.
* Enhancing entries and exits with order flow context.
13) Account Compatibility
* Does not require proprietary order book or footprint data.
* Works on all TradingView accounts.
* Uses only publicly available volume information.
Precious Matrix Index Follow-PRO📈 Precious Matrix – Index Follow PRO
Smart Alignment Engine for Stocks, Index & Sector
Precious Matrix – Index Follow PRO is a professional alignment indicator that tells you—at a glance—whether a stock is following, diverging, or staying neutral against its reference index and sector.
Built for intraday and positional traders, this tool converts complex market relationships into a single, clear decision panel.
🚀 What This Indicator Does
It checks real-time alignment between:
📊 Stock
📉 Index (default: NIFTY)
🏭 Sector Index
…and tells you whether the stock is:
FOLL0WING the broader market
DIVERGING (potential opportunity or warning)
NEUTRAL (no clear edge)
🔥 Core Features
🔹 Dual Calculation Modes
Choose how momentum is measured:
Since Open – perfect for intraday trend bias
Last N Minutes – great for scalping & momentum bursts
🔹 Automatic Sector Intelligence
Built-in auto sector mapping for Indian stocks
Works with BANK, IT, FMCG, METAL, AUTO, PHARMA, REALTY
Or switch to manual mode anytime
🔹 Adaptive Threshold Engine
Decide how sensitive the system should be:
Manual % threshold
ATR-based dynamic threshold
Automatically adjusts for volatility & timeframe
🔹 Professional Filters (Optional)
Turn on only what you need:
Relative Strength – stock stronger/weaker than index
MTF Agreement – higher timeframe trend validation
VWAP Acceptance – price position filter
ATR Regime – trend vs range environment
Volume Confirmation – activity validation
Each enabled filter is clearly shown on the label.
🧠 Smart Signal Logic
The system classifies every moment into:
✅ FOLLOWS INDEX – high-probability alignment
❌ DIVERGES – early warning / opportunity zone
⏸️ NEUTRAL – stay patient
With extra intelligence like:
Stronger / Weaker relative strength tags
Direction arrows
Live % change readings
🏷️ Dynamic Floating Label
A clean, non-intrusive label that:
Auto-positions near the latest candle
Updates in real time
Scales with Small / Medium / Large text options
Changes color based on:
Green → Following
Red → Diverging
Grey → Neutral
📊 Sector Snapshot Table (Optional)
Turn on the Sector Table to see:
Live % change of:
BANK
IT
REALTY
FMCG
METAL
AUTO
PHARMA
Instantly compare which sector is leading or lagging
Perfect for sector rotation and relative strength trading.
🎯 Best Use Cases
This indicator is ideal for:
Index traders
Option sellers & buyers
Intraday equity traders
Sector rotation strategies
Anyone who trades alignment, divergence & momentum
⚙️ Highlights
Designed for Indian markets
Works on all timeframes
No repainting logic
Highly optimized for live trading
Clean UI – no clutter, only decisions
📌 Trading Tip
Use Index Follow PRO before taking any trade:
If the stock is not aligned with:
Index
Sector
Higher timeframe
…it’s usually better to wait.
When all three line up, you trade with market force, not against it.
Asset Volatility Heatmap [SeerQuant]Asset Volatility Heatmap (AVH)
AVH is a cross-sectional volatility dashboard that ranks up to 30 assets and visualizes regime shifts as a time-series heatmap.
It computes annualized historical volatility (%) on a fixed 1D basis, then maps each asset’s volatility into a configurable color spectrum for fast, intuitive scanning of risk conditions across cryptocurrencies.
⚙️ How It Works
1. Daily, Annualized Historical Volatility
Each asset is measured on a fixed 1D timeframe (independent of your chart timeframe). Volatility is annualized and expressed in percentage terms. The user can choose between 1 of 4 volatility estimators: Close-Close (log returns stdev), Parkinson (H/L), Garman-Klass or Rogers-Satchell.
2. Heatmap
A heatmap is plotted on the lower window (sorting is turned on by default). Each row represents a rank position. (Rank #1 highest vol ... Rank #30 lowest vol). This means that tokens will move between rows over time as their volatility changes. The asset labels show the current token sitting in each rank bucket. This setting can be turned off for more of a "random" look.
3. Color Scaling
The user can select how the color range is normalized for visualization.
n = (v - scaleMin) / (scaleMax - scaleMin)
Cross-Section: Scales colors using the current bar’s cross-sectional min/max across the asset list.
Rolling: Scales colors using a lookback window of cross-sectional ranges, so today’s values are judged relative to recent volatility history.
Fixed: Uses your chosen Fixed Scale Min / Max for consistent benchmarking across time.
4. Contrast Control
The Color Contrast control option changes how aggressively the palette emphasizes extremes (useful for making “risk spikes” pop vs keeping gradients smooth).
5. Summary Table + Composite Read
The table highlights the highest vol / lowest vol token, along with average / median volatility, and a simple regime read (low / medium / high cross-sectional volatility).
✨ How to Use (Practical Reads)
Spot risk-on / risk-off transitions: When the heatmap “heats up” broadly (more hot colors across ranks), cross-sectional volatility is expanding (higher dispersion / risk).
Identify which names are driving the narrative: With sorting ON, the top ranks show which assets are currently the volatility leaders — often where attention, liquidity, and positioning stress is concentrated.
Use it as a regime overlay: Low/steady colors across most ranks tends to align with calmer conditions; sharp bright bursts signal volatility events.
✨ Customizable Settings
1. Assets
30 symbol inputs (defaults to crypto, but works across markets)
2. Calculation Settings
Length (lookback)
Volatility Estimator (Close-Close / Parkinson / GK / RS)
3. Style Settings
Color Scheme (SeerQuant / Viridis / Plasma / Magma / Turbo / Red-Blue)
Color Scaling (Cross-Section / Rolling / Fixed)
Scaling Lookback (for Rolling)
Fixed Scale Min / Max (for Fixed)
Color Contrast (emphasize extremes vs smooth gradients)
Sort Heatmap (High → Low)
Gradient Legend toggle
Focus Mode (highlights the chart symbol if included)
Ticker Label Right Padding
🚀 Features & Benefits
Cross-sectional volatility at a glance (dispersion/risk conditions)
Sortable rank heatmap for tracking “who’s hot” in volatility
Multiple estimators for different volatility philosophies
Flexible normalization (current cross-section, rolling context, or fixed benchmarks)
Clean legend + summary stats for quick context
📌 Notes
Sorting changes which token appears in each row over time (rows are rank buckets).
Volatility is computed on 1D even if your chart is lower/higher timeframe.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
[GYTS] Volatility Toolkit Volatility Toolkit
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is Volatility Toolkit?
Volatility Toolkit is a comprehensive volatility analysis indicator featuring academically-grounded range-based estimators. Unlike simplistic measures like ATR, these estimators extract maximum information from OHLC data — resulting in estimates that are 5-14× more statistically efficient than traditional close-to-close methods.
The indicator provides two configurable estimator slots, weighted aggregation, adaptive threshold detection, and regime identification — all with flexible smoothing options via
GYTS FiltersToolkit integration.
💮 Why Use This Indicator?
Standard volatility measures (like simple standard deviation) are highly inefficient, requiring large amounts of data to produce stable estimates. Academic research has shown that range-based estimators extract far more information from the same price data:
• Statistical Efficiency — Yang-Zhang achieves up to 14× the efficiency of close-to-close variance, meaning you can achieve the same estimation accuracy with far fewer bars
• Drift Independence — Rogers-Satchell and Yang-Zhang correctly isolate variance even in strongly trending markets where simpler estimators become biased
• Gap Handling — Yang-Zhang properly accounts for overnight gaps, critical for equity markets
• Regime Detection — Built-in threshold modes identify when volatility enters elevated or suppressed states
↑ Overview showing Yang-Zhang volatility with dynamic threshold bands and regime background colouring
🌸 --------- HOW IT WORKS --------- 🌸
💮 Core Concept
The toolkit groups volatility estimators by their output scale to ensure valid comparisons and aggregations:
• Log-Return Scale (σ) — Close-to-Close, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang. These are comparable and can be aggregated. Annualisable via √(periods_per_year) scaling.
• Price Unit Scale ($) — ATR. Measures volatility in absolute price terms, directly usable for stop-loss placement.
• Percentage Scale (%) — Chaikin Volatility. Measures the rate of change of the trading range — whether volatility is expanding or contracting.
Only estimators with the same scale can be meaningfully compared or aggregated. The indicator enforces this and warns when mixing incompatible scales.
💮 Range-Based Estimator Overview
Range-based estimators utilise High, Low, Open, and Close prices to extract significantly more information about the underlying diffusion process than close-only methods:
• Parkinson (1980) — Uses High-Low range. ~5× more efficient than close-to-close. Assumes zero drift.
• Garman-Klass (1980) — Incorporates Open and Close. ~7.4× more efficient. Assumes zero drift, no gaps.
• Rogers-Satchell (1991) — Drift-independent. Superior in trending markets where Parkinson/GK become biased.
• Yang-Zhang (2000) — Composite estimator handling both drift and overnight gaps. Up to 14× more efficient.
💮 Theoretical Background
• Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61–65. DOI
• Garman, M.B. & Klass, M.J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67–78. DOI
• Rogers, L.C.G. & Satchell, S.E. (1991). Estimating Variance from High, Low and Closing Prices. Annals of Applied Probability, 1 (4), 504–512. DOI
• Yang, D. & Zhang, Q. (2000). Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. Journal of Business, 73 (3), 477–491. DOI
🌸 --------- KEY FEATURES --------- 🌸
💮 Feature Reference
Estimators (8 options across 3 scale groups):
• Close-to-Close — Classical benchmark using closing prices only. Least efficient but useful as baseline. Log-return scale.
• Parkinson — Range-based (High-Low), ~5× more efficient than close-to-close. Assumes zero drift. Log-return scale.
• Garman-Klass — OHLC-optimised, ~7.4× more efficient. Assumes zero drift, no gaps. Log-return scale.
• Rogers-Satchell — Drift-independent, handles trending markets where Parkinson/GK become biased. Log-return scale.
• Yang-Zhang — Gap-aware composite, most comprehensive (up to 14× efficient). Uses internal rolling variance (unsmoothed). Log-return scale.
• Std Dev — Standard deviation of log returns. Log-return scale.
• ATR — Average True Range in absolute price units. Useful for stop-loss placement. Price unit scale.
• Chaikin — Rate of change of range. Measures volatility expansion/contraction, not level. Percentage scale.
Smoothing Filters (10 options via FiltersToolkit):
• SMA / EMA — Classical moving averages
• Super Smoother (2-Pole / 3-Pole) — Ehlers IIR filter with excellent noise reduction
• Ultimate Smoother (2-Pole / 3-Pole) — Near-zero lag in passband
• BiQuad — Second-order IIR with configurable Q factor
• ADXvma — Adaptive smoothing, flat during ranging periods
• MAMA — MESA Adaptive Moving Average (cycle-adaptive)
• A2RMA — Adaptive Autonomous Recursive MA
Threshold Modes:
• Static — Fixed threshold values you define (e.g., 0.025 annualised)
• Dynamic — Adaptive bands: baseline ± (standard deviation × multiplier)
• Percentile — Threshold at Nth percentile of recent history (e.g., 80th percentile for high)
Visual Features:
• Level-based colour gradient — Line colour shifts with percentile rank (warm = high vol, cool = low vol)
• Fill to zero — Gradient fill intensity proportional to volatility level
• Threshold fills — Intensity-scaled fills when thresholds are breached
• Regime background — Chart background indicates HIGH/NORMAL/LOW volatility state
• Legend table — Displays estimator names, parameters, current values with percentile ranks (P##)
💮 Dual Estimator Slots
Compare two volatility estimators side-by-side. Each slot independently configures:
• Estimator type (8 options across three scale groups)
• Lookback period and smoothing filter
• Colour palette and visual style
This enables direct comparison between estimators (e.g., Yang-Zhang vs Rogers-Satchell) or between different parameterisations of the same estimator.
↑ Yang-Zhang (reddish) and Rogers-Satchell (greenish)
💮 Flexible Smoothing via FiltersToolkit
All estimators (except Yang-Zhang, which uses internal rolling variance) support configurable smoothing through 10 filter types. Using Infinite Impulse Response (IIR) filters instead of SMA avoids the "drop-off artefact" where volatility readings crash when old spikes exit the window.
Example: Same estimator (Parkinson) with different smoothing filters
Add two instances of Volatility Toolkit to your chart:
• Instance 1: Parkinson with SMA smoothing (lookback 14)
• Instance 2: Parkinson with Super Smoother 2-Pole (lookback 14)
Notice how SMA creates sharp drops when volatile bars exit the window, while Super Smoother maintains a gradual transition.
↑ Two Parkinson estimators — SMA (red mono-colour, showing drop-off artefacts) vs Super Smoother (turquoise mono colour, with smooth transitions)
↑ Garman-Klass with BiQuad (orangy) and 2-pole SuperSmoother filters (greenish)
💮 Weighted Aggregation
Combine multiple estimators into a single weighted average. The indicator automatically:
• Validates scale compatibility (only same-scale estimators can be aggregated)
• Normalises weights (so 2:1 means 67%:33%)
• Displays clear warnings when scales differ
Example: Robust volatility estimate
Combine Yang-Zhang (handles gaps) with Rogers-Satchell (handles drift) using equal weights:
• E1: Yang-Zhang (14)
• E2: Rogers-Satchell (14)
• Aggregation: Enabled, weights 1:1
The aggregated line (with "fill to zero" enabled) provides a more robust estimate by averaging two complementary methodologies.
↑ Yang-Zhang + Rogers-Satchell with aggregation line (thicker) showing combined estimate (notice how opening gaps are handled differently)
Example: Trend-weighted aggregation
In strongly trending markets, weight Rogers-Satchell more heavily since it's drift-independent:
• Estimator 1: Garman-Klass (faster, higher weight in ranging)
• Estimator 2: Rogers-Satchell (drift-independent, higher weight in trends)
• Aggregation: weights 1:2 (favours RS during trends)
💮 Adaptive Threshold Detection
Three threshold modes for identifying volatility regime shifts. Threshold breaches are visualised with intensity-scaled fills that grow stronger the further volatility exceeds the threshold.
Example: Dynamic thresholds for regime detection
Configure dynamic thresholds to automatically adapt to market conditions:
• High Threshold Mode: Dynamic (baseline + 2× std dev)
• Low Threshold Mode: Dynamic (baseline - 2× std dev)
• Show threshold fills: Enabled
This creates adaptive bands that widen during volatile periods and narrow during calm periods.
Example: Percentile-based thresholds
Use percentile mode for context-aware regime detection:
• High Threshold Mode: Percentile (96th)
• Low Threshold Mode: Percentile (4th)
• Percentile Lookback: 500
This identifies when volatility enters the top/bottom 4% of its recent distribution.
↑ Different threshold settings, where the dynamic and percentile methods show adaptive bands that widen during volatile periods, with fill intensity varying by breach magnitude. Regime detection (see next) is enabled too.
💮 Regime Background Colouring
Optional background colouring indicates the current volatility regime:
• High Volatility — Warm/alert background colour
• Normal — No background (neutral)
• Low Volatility — Cool/calm background colour
Select which source (Estimator 1, Estimator 2, or Aggregation) drives the regime display.
Example: Regime filtering for trade decisions
Use regime background to filter trading signals from other indicators:
• Regime Source: Aggregation
• Background Transparency: 90 (subtle)
When the background shows HIGH volatility (warm), consider tighter stops. When LOW (cool), watch for breakout setups.
↑ Regime background emphasis for breakout strategies. Note the interesting A2RMA smoothing for this case.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Getting Started
1. Add the indicator to your chart
2. Estimator 1 defaults to Yang-Zhang (14) — the most comprehensive estimator for gapped markets
3. Keep "Annualise Volatility" enabled to express values in standard annualised form
4. Observe the legend table for current values and percentile ranks (P##). Hover over the table cells to see a little more info in the tooltip.
💮 Choosing an Estimator
• Trending equities with gaps — Yang-Zhang. Handles both drift and overnight gaps optimally.
• Crypto (24/7 trading) — Rogers-Satchell. Drift-independent without Yang-Zhang's multi-period lag.
• Ranging markets — Garman-Klass or Parkinson. Simpler, no drift adjustment needed.
• Price-based stops — ATR. Output in price units, directly usable for stop distances.
• Regime detection — Combine any estimator with threshold modes enabled.
💮 Interpreting Output
• Value (P##) — The volatility reading with percentile rank. "0.1523 (P75)" means 0.1523 annualised volatility at the 75th percentile of recent history.
• Colour gradient — Warmer colours = higher percentile (elevated volatility), cooler colours = lower percentile.
• Threshold fills — Intensity indicates how far beyond the threshold the current reading is.
• ⚠️ HIGH / 🔻 LOW — Table indicators when thresholds are breached.
🌸 --------- ALERTS --------- 🌸
💮 Direction Change Alerts
• Estimator 1/2 direction change — Triggers when volatility inflects (rising to falling or vice versa)
💮 Cross Alerts
• E1 crossed E2 — Triggers when the two estimator lines cross
💮 Threshold Alerts
• E1/E2/Aggr High Volatility — Triggers when volatility breaches the high threshold
• E1/E2/Aggr Low Volatility — Triggers when volatility falls below the low threshold
💮 Regime Change Alerts
• E1/E2/Aggr Regime Change — Triggers when the volatility regime transitions (High ↔ Normal ↔ Low)
🌸 --------- LIMITATIONS --------- 🌸
• Drift bias in Parkinson/GK — These estimators overestimate variance in trending conditions. Switch to Rogers-Satchell or Yang-Zhang for trending markets.
• Yang-Zhang minimum lookback — Requires at least 2 bars (enforced internally). Cannot produce instantaneous readings like other estimators.
• Flat candles — Single-tick bars produce near-zero variance readings. Use higher timeframes for illiquid assets.
• Discretisation bias — Estimates degrade when ticks-per-bar is very small. Consider higher timeframes for thinly traded instruments.
• Scale mixing — Different scale groups (log-return, price unit, percentage) cannot be meaningfully compared or aggregated. The indicator warns but does not prevent display.
🌸 --------- CREDITS --------- 🌸
💮 Academic Sources
• Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61–65. DOI
• Garman, M.B. & Klass, M.J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67–78. DOI
• Rogers, L.C.G. & Satchell, S.E. (1991). Estimating Variance from High, Low and Closing Prices. Annals of Applied Probability, 1 (4), 504–512. DOI
• Yang, D. & Zhang, Q. (2000). Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. Journal of Business, 73 (3), 477–491. DOI
• Wilder, J.W. (1978). New Concepts in Technical Trading Systems . Trend Research.
💮 Libraries Used
• VolatilityToolkit Library — Range-based estimators, smoothing, and aggregation functions
• FiltersToolkit Library — Advanced smoothing filters (Super Smoother, Ultimate Smoother, BiQuad, etc.)
• ColourUtilities Library — Colour palette management and gradient calculations
End Of MooveINDICATOR: END OF MOOVE (EOM)
1. Overview
The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history.
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2. Core Logic & Calculation
The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts.
* Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections.
* Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ).
* Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events.
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3. Adaptive Intelligence (Detection & Smoothing)
The EOM adapts to different market conditions through its detection engine:
1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window.
2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes.
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4. Visual Anatomy
The interface uses a high-contrast design to highlight institutional exhaustion:
* The Histogram:
* Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure.
* Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone.
* The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line."
* Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed.
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5. How to Trade with EndOfMoove
* Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended.
* Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up.
* Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity.
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6. Technical Parameters
* WVF Period: Controls the sensitivity of the raw volatility calculation.
* Historical Max Period: Determines the depth of the statistical database (50 to 500 bars).
* Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity).
Liquidity is where the market is attracted.
Price does not move randomly — it moves from one liquidity pool to another.
With this indicator, you can:
• Visually mark IRL (internal liquidity resting inside the range)
• Identify ERL (external liquidity above highs & below lows)
• Understand where Smart Money targets stops
• Anticipate liquidity sweeps, fake breakouts, and reversals
• Improve entries, exits, and trade patience
This tool helps you stop guessing and start reading market intent.
Best used with:
Price Action
Market Structure
Smart Money Concepts (SMC)
Works across:
Stocks • Indices • Forex • Crypto
⚠️ This indicator does not give buy/sell signals.
It provides context, so you trade with logic, not emotions.
If you understand liquidity,
you understand where the market is going next.
Weighted ATRWeighted ATR is a volatility indicator that computes True Range and smooths it using a selectable kernel (native Wilder ATR, SMA, EMA, WMA, VWMA, or HMA). It outputs a single volatility line in price units for risk sizing, stop distances, and regime filtering.
IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label
Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank.
The script:
Calculates annualized Historical Volatility (HV) from price returns
Ranks current HV relative to its lookback range (default 252 bars)
Displays the result as a clean, color-coded label in the top-right corner
Color logic:
🟢 Green: Low volatility regime (IV Rank < 20)
🟡 Yellow: Neutral volatility regime (20–50)
🔴 Red: High volatility regime (> 50)
This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank.
Best used alongside:
Options chain implied volatility
Delta / extrinsic value
Time-to-expiration analysis
Note: This indicator does not use true implied volatility data.
IV vs Realised Volatility (VIX/HV Comparator)VIX / HV Comparator – Implied vs Realised Volatility
This indicator compares Implied Volatility (IV) from a volatility index (VIX, India VIX, etc.) with the Realised / Historical Volatility (HV) of the current chart symbol.
It helps you see whether options are pricing volatility as rich or cheap relative to what the underlying is actually doing.
What it does
Pulls IV from any user-selected vol index symbol (e.g. CBOE:VIX for SPX, NSEINDIA:INDIAVIX for Nifty).
Calculates realised volatility from the chart’s price data using returns over a user-defined lookback.
Annualises HV so IV and HV are displayed on the same percentage scale, on any timeframe (intraday or higher).
Optionally shows an IV/HV ratio in a separate pane to highlight when options are rich or cheap relative to realised volatility.
How to read it
Main panel:
Orange line – Implied Volatility (IV) from your chosen vol index.
Aqua line – Realised / Historical Volatility (HV) of the current chart symbol.
Fill between lines:
Green shading -> IV > HV -> options are priced richer than what the underlying is currently realising.
Red shading -> HV > IV -> realised vol is higher than the options market is implying.
Sub-panel (optional):
IV / HV ratio
- Above 1 -> IV > HV (vol rich).
- Below 1 -> IV < HV (vol cheap).
- Horizontal guides (for example 1.2 / 0.8) help frame “significantly rich/cheap” zones.
A small label on the latest bar displays the current IV, HV and their difference in vol points.
Inputs (key ones)
IV Index Symbol – choose the volatility index that corresponds to your underlying (VIX, India VIX, etc.).
Realised Vol Lookback – number of bars used to compute HV (for example 20).
Trading Days per Year and Active Hours per Day – used for annualising HV so it stays consistent across timeframes.
IV Scale Factor – adjust if your IV index is quoted in decimals (0.15) instead of points (15).
Practical uses
Context for options trades – Quickly see if current IV is high or low relative to realised volatility when deciding on strategies (premium selling vs buying, spreads, hedges).
Vol regime analysis – Track shifts where HV starts to rise above IV (real stress building) or IV spikes far above HV (fear premium / insurance bid).
Cross-timeframe checks – Use on intraday charts for short-term trading context, or on daily/weekly charts for bigger picture vol regimes.
This tool is not a stand-alone signal generator. It is meant to be a volatility dashboard you combine with your usual price action, trend, and options strategy rules to understand how the options market is pricing risk vs what the underlying is actually delivering.
