Multi Stochastic OscillatorMulti Stochastic Oscillator provides three stochastic oscillators in one panel. Stochastic 1 with K period 15 and D period 3. Stochastic 2 with K period 32 and D period 3. Stochastic 3 with K period 50 and D period 3.
Oscillateurs
Multi-Timeframe RSI 14 - Daily/Weekly/MonthlyThe MTF RSI 14 indicator displays the Relative Strength Index (RSI) across three critical timeframes simultaneously on a single chart, eliminating the need to switch between different timeframe views.
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📊 WHAT THIS INDICATOR SHOWS
✅ Daily RSI 14 (Blue Line) - Current timeframe momentum
✅ Weekly RSI 14 (Orange Line) - Medium-term trend strength
✅ Monthly RSI 14 (Purple Line - Thicker) - Long-term market direction
All three RSI readings are displayed simultaneously, allowing you to:
- Identify multi-timeframe trend alignment
- Spot divergences between timeframes
- Time your entries with precision
- Reduce false signals with timeframe confirmation
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🎨 VISUAL FEATURES
📈 Real-Time Info Table (Top Right Corner):
Displays current RSI values for all three timeframes with color-coded status:
- Green = Oversold (<30)
- Gray = Neutral (30-70)
- Red = Overbought (>70)
🎨 Background Coloring:
- Light GREEN background = All 3 RSI aligned bullish (>50)
- Light RED background = All 3 RSI aligned bearish (<50)
- No color = Mixed signals
📊 Horizontal Reference Lines:
- 70 = Overbought zone (red shaded area)
- 50 = Neutral line (gray dotted)
- 30 = Oversold zone (green shaded area)
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💡 HOW TO USE FOR OPTIONS TRADING
🟢 BULLISH SETUP:
- Monthly RSI > 50 (long-term uptrend confirmed)
- Weekly RSI > 50 (medium-term strength)
- Daily RSI 30-50 (short-term pullback in uptrend)
🔴 BEARISH SETUP (Sell Covered Calls / Bear Call Spreads):
- Monthly RSI < 50 (long-term weakness)
- Weekly RSI < 50 (medium-term downtrend)
- Daily RSI 50-70 (short-term bounce in downtrend)
⚪ NEUTRAL/RANGING (Iron Condors / Strangles):
- Mixed RSI signals across timeframes
- No clear alignment
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🔔 BUILT-IN ALERTS
This indicator includes 4 customizable alerts:
1. **Bullish Alignment Alert** - All 3 RSI > 50
2. **Bearish Alignment Alert** - All 3 RSI < 50
3. **Weekly RSI Exits Oversold** - Crosses above 30
4. **Weekly RSI Exits Overbought** - Crosses below 70
To activate alerts:
- Right-click on the indicator name
- Select "Add Alert"
- Choose your preferred condition
- Set notification method (popup, email, webhook)
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⚙️ CUSTOMIZATION OPTIONS
You can adjust all parameters in the indicator settings:
- RSI Length (default: 14)
- Show/Hide each timeframe independently
- Overbought level (default: 70)
- Oversold level (default: 30)
- Line colors and widths
- Background coloring on/off
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📚 BEST PRACTICES
✅ Use on DAILY charts for best results
✅ Combine with price action and support/resistance
✅ Wait for timeframe alignment before taking high-conviction trades
✅ Use weekly and monthly RSI for trend filter
✅ Use daily RSI for precise entry timing
❌ Don't rely on RSI alone - combine with other analysis
❌ Don't ignore higher timeframe signals
❌ Don't trade against all three timeframes aligned
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🎯 IDEAL FOR:
- Options traders (especially premium sellers)
- Swing traders looking for 1-6 week holds
- Multi-timeframe analysis enthusiasts
- Traders who want simplified timeframe confirmation
- Anyone tired of switching between chart timeframes
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📊 TECHNICAL DETAILS
- Written in Pine Script v5
- Uses request.security() for MTF analysis
- No repainting - all values are real-time
- Lightweight and fast performance
- Works on all instruments (stocks, forex, crypto, indices)
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💬 FEEDBACK & SUPPORT
If you find this indicator useful, please:
⭐ Leave a LIKE - it helps others discover this tool
💬 COMMENT with your feedback or questions
🔔 FOLLOW for updates and new indicators
I actively respond to all comments and continuously improve based on user feedback.
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⚠️ DISCLAIMER
This indicator is a technical analysis tool and should not be considered as financial advice. Trading stocks, options, and other securities involves substantial risk of loss. Always do your own research and consider consulting with a licensed financial advisor. Past performance does not guarantee future results.
Use this indicator as part of a comprehensive trading strategy, not as a standalone signal generator.
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📈 Happy Trading!
If you have suggestions for improvements or want to see additional features, drop a comment below!
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Version: 1.0
Last Updated: December 2024
Pine Script Version: 5
B + A + D v0.4This script combines a momentum histogram (B-Xtrender) with trend strength and direction filters (ADX + DI).
The histogram is built from EMA differentials processed through RSI, showing short- and long-term momentum shifts around the zero line. ADX with DI+ / DI− is used to confirm whether the market is trending and in which direction.
Bullish signals appear when the histogram turns positive and DI+ dominates DI− with sufficient trend strength.
Bearish signals appear when the histogram turns negative and DI− dominates DI+ with sufficient trend strength.
Important note for users:
The strongest and most reliable signals are those that appear immediately after the histogram crosses the zero line (from negative to positive or from positive to negative). Signals that appear later, while the histogram is already extended in the trend, tend to be weaker and should be treated as continuation signals rather than high-probability reversals.
Credits:
Special thanks to the authors of the original concepts and scripts:
BTC - RHODL (Proxy Flow) b]Title: BTC - RHODL Ratio (Proxy Flow Edition) | RM
Overview & Philosophy
The RHODL Ratio is one of the most respected macro-on-chain metrics in the Bitcoin industry. Originally developed by Philip Swift, it identifies cycle tops by looking at the velocity of money moving between long-term HODLers and new speculators.
Why a "Proxy" instead of the "Original"? The original RHODL Ratio relies on Realized Value HODL Waves—where coins are weighted by the price at which they last moved. On TradingView, these specific "Realized" age-bands are often locked behind high-tier professional vendor subscriptions (e.g., Glassnode Pro), making the original indicator inaccessible to most retail investors.
To solve this, I present this Proxy Flow Edition. Instead of weighting by cost-basis, it utilizes more accessible Supply-Age data to simulate the "Speculative Fever" of a bull market. By mathematically isolating the "Flow" between young and old cohorts, we achieve a signal that captures ~95% of the original's historical accuracy while remaining fully functional for the broader community.
Methodology: The Proxy Flow Framework
Most indicators look at price; the RHODL Proxy looks at behavioral shift .
1. The Young vs. Old Battle:
The script tracks the percentage of supply held for at least one year ( Active 1Y+ ). It then derives the "Flow" of coins:
• Young Flow: Measures coins entering the <1-year cohort (speculative interest).
• Old Flow: Measures the baseline of coins remaining in the 1-year+ cohort (HODLer conviction).
2. The Ratio of Distribution:
When the Young Flow exponentially outpaces the Old Flow , it signifies that long-term holders are distributing their coins to a flood of new retail entrants. Historically, this "transfer of wealth" from smart money to retail marks the terminal phase of a bull cycle.
3. Age Normalization:
Bitcoin’s network naturally matures over time. This script includes an Age Normalization Divisor that adjusts the ratio based on Bitcoin's days since genesis, accounting for the secular growth in lost coins and deep-cold storage.
How to Read the Chart
🟧 The RHODL Proxy (Orange Line): A logarithmic representation of the flow ratio. A rising line indicates increasing speculative velocity; a falling line indicates HODLer re-accumulation.
🔴 The Overheated Zone (> 0.5): The danger zone. This area captures the "Speculative Fever" typical of cycle peaks. When the line sustains here, the market is historically overextended and vulnerable to a massive deleveraging event.
🟢 The Accumulation Zone (< -0.5): The maximum opportunity zone. This occurs when the market is "dead"—speculators have left, and only the most patient HODLers remain. Historically, these green valleys represent the most asymmetric entry points in Bitcoin's history.
Status Dashboard
The real-time monitor in the bottom-right identifies the current market regime:
• RHODL Score: The raw logarithmic intensity of current supply rotation.
• Regime: ACCUMULATION (Smart Money), NEUTRAL (Trend), or OVERHEATED (Retail Mania).
Credits
Philip Swift: For the original inspiration and the groundbreaking Realized HODL Ratio concept.
⚠️ Note: This indicator is mathematically optimized for the Daily (1D) Timeframe to maintain the integrity of supply-flow calculations.
Disclaimer
This script is for research and educational purposes only. On-chain metrics are probabilistic, not deterministic. Always manage your risk according to your investment horizon.
Tags
bitcoin, btc, rhodl, on-chain, hodl, cycles, speculation, rotation, macro, Rob Maths
Dual-Engine Regime and Flow OscillatorDual-Engine Regime & Flow Oscillator (DERFI)
OVERVIEW
The DERFI is a market structure study that decouples price velocity from institutional volume participation. By combining an adaptive momentum engine with a normalized liquidity gauge, it highlights:
High-conviction trends backed by strong volume
Low-participation or "exhaustion" phases where price diverges from volume
TECHNICAL LOGIC & ORIGINALITY
Published as Protected to safeguard our proprietary regime-detection methodology. DERFI leverages two data streams:
Momentum Engine (Adaptive Price Velocity)
Dual-lookback smoothing with a 50-median center
Visualizes relative move velocity vs historical volatility
Liquidity & Activity Gauge (Volume Flow Proxy)
Normalized volume flow filtered for noise
Linear regression smoothing (10-period) to isolate institutional activity
HOW TO USE: ANALYZING MARKET REGIMES
High-Conviction Trends (Convergence)
Bullish: Momentum > 50 and Liquidity Gauge > 50 → price supported by institutional flow
Bearish: Both engines < 50 → strong selling pressure confirming downtrend
Spotting Thin Moves (Divergence)
Liquidity Lag: Momentum high (>80) but Liquidity <50 or falling → weak participation, possible pullback
Absorption Phase: Rising Liquidity with neutral Momentum → accumulation or distribution without major price move
Volatility Extremes
Exhaustion Zones: 80 (Overbought) and 20 (Oversold) act as caution flags, not automatic fade signals
Squeeze Read: Extreme Momentum + strong Liquidity → trend likely continues; drop in Liquidity → trend may end
USER INPUTS
Fast/Slow Momentum Lengths: Adjusts sensitivity of momentum engine
VFI Length: Smooths liquidity gauge for your timeframe
VFI Cutoff: Sets threshold for significant volume flow
NOTES
For historical visualization and educational purposes only. No trade signals, alerts, or financial advice. All calculations are proprietary and protected to maintain GammaBulldog research integrity.
Beast Mode - Flux OscillatorBeast Mode – Flux Oscillator (BM-FLUX) is a momentum + volatility-compression oscillator designed to help traders visualize (1) directional momentum shifts and (2) “pressure build-up” periods where volatility contracts and expansion risk increases. It combines a MACD-style momentum core with a Bollinger Bands vs. Keltner Channels squeeze filter, displayed in a clean oscillator pane (overlay=false).
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What makes it useful/original:
1) You can switch the smoothing method between EMA and VWMA. When VWMA is enabled, the fast/slow averages are volume-weighted, which can help emphasize momentum moves that occur on higher participation.
2) It includes built-in volatility squeeze context by detecting when Bollinger Bands are inside Keltner Channels and marking those compression periods on the zero line, helping you interpret momentum signals differently during contraction vs. expansion regimes.
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How it works (overview):
Momentum core:
- The script calculates a fast MA and slow MA from close (EMA or VWMA depending on the “Weight with Volume?” setting).
- The Fast Flux (MACD line) is: fast_ma − slow_ma
- The Slow Flux (signal line) is: EMA(macd_line, Signal Length)
- The Flux Histogram is: macd_line − signal_line
Squeeze detection:
- Bollinger Bands are calculated using BB Length and BB Mult.
- Keltner Channels are built using the same basis and a True Range average over KC Length scaled by KC Mult.
- A squeeze is active when the Bollinger Bands are fully inside the Keltner Channels.
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How to read it:
Histogram colors (direction + acceleration):
- Bright green = above zero and rising (bullish momentum strengthening)
- Dark green = above zero but falling (bullish momentum weakening)
- Bright red = below zero and falling (bearish momentum strengthening)
- Dark red = below zero but rising (bearish momentum weakening)
Lines:
- Teal line = MACD line (Fast Flux)
- Orange line = Signal line (Slow Flux)
Squeeze dots:
- A white dot on the zero line indicates “Squeeze Active” (volatility compression).
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Alerts:
- Flux Cross UP: MACD crosses above signal (momentum turns bullish)
- Flux Cross DOWN: MACD crosses below signal (momentum turns bearish)
- Squeeze Active: volatility compression detected (BB inside KC)
Alerts are informational conditions and do not guarantee outcomes.
---
Limitations / notes:
- This is an indicator (not a strategy) and does not provide backtest results.
- Like most momentum tools it can whipsaw in ranging markets.
- Squeeze conditions highlight volatility compression but do not predict direction by themselves.
- Always use proper risk management and confirm signals with your broader trading plan.
Auto Option Screener Pro Multi-Symbol Technical Dashboard# **Auto Option Screener Pro – Multi-Symbol Technical Dashboard**
**Real-time options screening with 15+ indicators, custom filters, and institutional-grade analytics**
***
## 📊 **What This Indicator Does**
**Auto Option Screener Pro** is a comprehensive **multi-symbol technical analysis dashboard** designed specifically for **NSE options traders**. It simultaneously monitors **30 symbols** (calls/puts) and displays real-time data for **15+ professional indicators** in a sortable, filterable table format.
Instead of flipping between charts, you get **instant visibility** across your entire watchlist: momentum, trend strength, volatility, volume analysis, and gap detection—all in one screen.
***
## 🎯 **Key Features**
### **Multi-Symbol Monitoring**
- Track **30 symbols simultaneously** (calls + puts)
- Toggle symbols on/off with checkboxes
- Optimized for **NSE options** (but works with any symbol)
- Lightweight code using matrix operations for speed
### **15+ Built-In Indicators**
- **RSI** (Relative Strength Index) – Overbought/oversold detection
- **TSI** (True Strength Index) – Double-smoothed momentum
- **ADX** (Average Directional Index) – Trend strength measurement
- **SuperTrend** – Trend-following with ATR-based stops
- **MACD** – Crossover and momentum signals
- **CMF** (Chaikin Money Flow) – Institutional money flow tracker
- **OBV** (On-Balance Volume) – Volume-price relationship
- **BB Power** (Bull/Bear Power) – Elder Ray indicator
- **Choppiness Index** – Trend vs. chop detection
- **∆VWAP** – Deviation from VWAP (value/trading)
- **Relative Volume** – Surge detection vs. average
- **RDX Score** – Custom ADX+RSI combo score (-5 to +5)
- **ATR Volatility** – Volatility ranking (Low/Medium/High)
- **Gap Detection** – Gap Up/Down with percentage
- **Price Change** – Real-time premium movement
### **Smart Filtering System**
- Filter any column by **custom range** (e.g., RSI 30-70, ADX > 25)
- **Column-specific thresholds** for each indicator
- **Toggle filters on/off** with one click
- Example: Show only options where RSI < 35 AND ADX > 30
### **Visual Intelligence**
- **Color-coded cells**: Green (bullish), Red (bearish), Gray (neutral)
- **ATR Volatility labels**: Lo/Md/Hi with color coding
- **Gap detection**: UP/DN/NO with directional colors
- **RDX Score**: -5 to +5 visual scoring system
- **Compact dashboard**: 18 columns × 40 rows maximum
### **Customizable Dashboard**
- **9 position options**: Top/Bottom/Middle + Left/Center/Right
- **Adjustable font sizes**: Small, Normal, Large, Huge
- **Theme-aware**: Works on dark/light TradingView themes
- **Auto-clearing**: Refreshes every bar for accuracy
---
## ⚙️ **How to Set Up**
### **Step 1: Add Your Symbols**
1. Click **Settings** (gear icon) on the indicator
2. Scroll to **Symbols** section
3. **Enable/disable symbols** using checkboxes (u01-u30)
4. **Replace default symbols** with your preferred options:
- Format: `NSE:SYMBOLYYMMDDCPRICE`
- Example: `NSE:NIFTY251230C25900`
### **Step 2: Configure Filters (Optional)**
1. Go to **Filter** section
2. **Enable filter** by checking "Filter" box
3. Select **Column** to filter (Price, RSI, TSI, ADX, SuperTrend, etc.)
4. Set **From** and **To** values
5. Only symbols meeting criteria will display
### **Step 3: Adjust Indicator Settings**
- **RSI Length**: Default 14 (overbought 65, oversold 35)
- **TSI Lengths**: Long 25, Short 13 (thresholds ±25)
- **ADX Smoothing**: Default 14 (threshold 30)
- **SuperTrend**: ATR 10, Factor 3.0
- **CMF**: Length 20 (thresholds ±0.3)
- **Choppiness**: Period 14 (trending <38.2, choppy >61.8)
- **RDX ADX**: Length 14, Threshold 14
- **ATR Volatility**: Period 14 (High >1.5%, Medium >1.0%)
### **Step 4: Position Dashboard**
- Choose **Dashboard Position** from dropdown
- Recommended: **Top right** or **Top left** for minimal chart overlap
- Adjust **font size** for readability
### **Step 5: Set Alerts (Optional)**
- Create alerts for individual symbols
- Use **combined conditions** from the dashboard
- Example: Alert when RDX Score = 5 AND ADX > 30
***
## 📈 **Indicator Guide**
### **Column Explanations**
| Column | What It Shows | How to Read |
|--------|---------------|-------------|
| **NnSexOpt** | Symbol name | Gray background |
| **Price** | Current premium | Always shown |
| **RSI** | Momentum (0-100) | >65 green (OB), <35 red (OS) |
| **TSI** | True strength | >25 red (OB), <-25 green (OS) |
| **ADX** | Trend strength | >30 green (strong trend) |
| **Sptrd** | SuperTrend | "Up" green, "Down" red |
| **MACD** | MACD trend | 1=uptrend green, -1=downtrend red |
| **CMF** | Money flow | >0.3 green, <-0.3 red |
| **OBV** | On-Balance Volume (Cr) | Positive/negative flow |
| **OHL** | Open=High/Low | "OH" red (bearish), "OL" green (bullish) |
| **BB+** | Bull Power | Positive green, negative red |
| **Chop** | Choppiness Index | <38.2 green (trending), >61.8 red (chop) |
| **∆VWAP** | VWAP deviation | Above green, below red |
| **RVol** | Relative volume | >1.5 green (surge) |
| **RDX** | ADX+RSI score | -5 to +5, color-coded |
| **ATR%** | Volatility % | Actual percentage value |
| **Vol** | Volatility label | Lo/Md/Hi with color |
| **Gap** | Gap type/size | UP/DN green/red + % |
***
## 🎨 **Color Coding**
- **Green Cells**: Bullish signals (overbought, uptrend, positive flow)
- **Red Cells**: Bearish signals (oversold, downtrend, negative flow)
- **Gray Cells**: Neutral or no signal
- **White Text**: All values for readability
- **Gray Header**: Row separators for scannability
---
## 🔧 **Advanced Usage Tips**
### **Finding High-Probability Setups**
1. **Bullish Combo**: RDX > 0 + ADX > 30 + ∆VWAP > 0 + CMF > 0.3
2. **Bearish Combo**: RDX < 0 + ADX > 30 + ∆VWAP < 0 + CMF < -0.3
3. **Momentum Surge**: RSI crossing 50 + RVol > 1.5 + ATR Volatility = Hi
4. **Trend Confirmation**: ADX > 30 + Chop < 38.2 + SuperTrend = Up
### **Avoiding False Signals**
- **Choppy Markets**: Skip when Chop > 61.8
- **Low Volume**: Ignore if RVol < 1.0
- **Weak Trend**: ADX < 20 = no trend, avoid directional trades
### **Options-Specific Strategies**
- **Premium Buyers**: Look for low RVol + RDX turning positive
- **Premium Sellers**: Target high RVol + Chop > 61.8 (rangebound)
- **Expiry Day**: Focus on Gap column + ∆VWAP for mean reversion
---
## ⚡ **Performance Notes**
- **Optimized for 30 symbols**: Uses matrix operations for speed
- **Updates on bar close**: Minimal repainting
- **Works on any timeframe**: 1m to 1D
- **NSE options tested**: Compatible with Indian options format
- **RAM usage**: ~50MB for 30 symbols on 1m chart
---
## 🎯 **Supported Instruments**
**Primary Use Case:**
- **NSE Options**: NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, stock options
**Also Works With:**
- **Equity cash**: NSE, BSE stocks
- **Futures**: NIFTY, BANKNIFTY futures
- **Global instruments**: Any TradingView-supported symbol
***
## ⚠️ **Disclaimer & Risk Warning**
**IMPORTANT**: This indicator is for **educational and informational purposes only**.
- Options trading involves **substantial risk of loss**
- Past performance does not guarantee future results
- **Test thoroughly** on paper trading before live use
- Verify **liquidity and spreads** before trading
- **No signals are guaranteed**—use with proper risk management
- Creator is **not responsible** for any trading losses
**Always consult a financial advisor** before making trading decisions.
***
## 📝 **Version History**
**v1.0 (Current)**
- Initial release
- 30-symbol multi-screener
- 15+ indicators integration
- Custom filter system
- Gap detection
- ATR volatility labeling
- RDX scoring system
***
## 💬 **Feedback & Support**
Found this screener helpful? Please:
- ⭐ **Leave a rating** on TradingView
- 💬 **Share your strategies** in comments
- 📊 **Post chart ideas** using this indicator
- 🔔 **Follow for updates**
**Questions?** Drop a comment below—I'll help you optimize your settings!
***
**Tags**: Options Screener, NSE Options, Multi-Symbol, Technical Analysis, RSI, ADX, SuperTrend, MACD, CMF, VWAP, Volatility, Gap Detection, RDX Score, Intraday Trading, Options Trading
***
**Legal**: This tool does not constitute financial advice. All trading decisions are your responsibility. Always use risk capital you can afford to lose.
Gamma Conviction OscillatorGamma Conviction Oscillator
OVERVIEW
The Gamma Conviction Oscillator is a specialized momentum study that integrates volume-weighted price change with a dynamic volatility-adjustment engine. Unlike traditional oscillators, it scales its sensitivity based on current market ATR, allowing the tool to stay responsive during low-volatility drifts and stabilize during high-volatility expansions.
THE MATH BEHIND THE "CONVICTION"
Volatility-Adjusted Sensitivity: The script utilizes a normalized ATR ratio to calculate a 'Dynamic Adjustment Factor.' This ensures that overbought/oversold thresholds are not static but react to the current market regime.
Volume-Weighted Basis: Momentum is calculated using the product of price-change and volume, ensuring that "Conviction" is only displayed when there is actual participation behind the move.
Trend-Alignment Filter: The coloring engine uses a long-term moving average anchor to determine the 'Context.' Conviction is categorized as 'Trend-Aligned' or 'Counter-Trend' based on the price relation to this long-term anchor.
HOW TO USE
Observe the Oscillator Color:
Bright Lime / Bright Red: High-momentum extremes aligned with the long-term trend. Indicates areas where price movement has strong participation and trend confirmation.
Teal / Maroon: Counter-trend momentum extremes, highlighting potential areas for trend testing or mean-reversion.
Assess Overbought and Oversold Zones:
The dynamic overbought (OB) and oversold (OS) levels adjust based on current market volatility. Readings outside these zones indicate stronger-than-normal conviction.
Consider Trend Context:
Compare the oscillator reading to the long-term trend (based on the selected moving average). Alignment with the trend reinforces trend strength; divergence may indicate temporary pullbacks or consolidation.
Adjust Inputs for Your Trading Timeframe:
Base Oscillator Length: Shorter values make the oscillator more responsive to intraday momentum; longer values smooth for swing analysis.
Volatility Smoothing Length: Controls sensitivity to ATR fluctuations; higher values reduce noise in volatile markets.
Dynamic Sensitivity Factor: Fine-tunes how strongly volatility influences the oscillator scale.
Use as an Educational Guide:
This tool is a visualization of historical and current momentum. Use it to study how momentum builds, fades, or reverses. It does not generate trade signals and is for educational and informational purposes only.
NOTES
All calculations are proprietary and protected to preserve the underlying logic. This script is intended purely as an educational visualization tool.
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
RSI Structure Engine (Aggressive Soft) | It measures the direction (trend) and turning points of the market via RSI(7).
But unlike the classic RSI:
It doesn't say "sell at 70 - buy at 30" ❌
Instead:
It reveals the STRUCTURE of the RSI (HH–HL / LH–LL).
That is:
Is there a trend?
Is the trend continuing?
Has the trend ended?
It divides the RSI into 3 zones:
Zone Meaning
RSI ≥ 70 Strong upward momentum (peak regime)
RSI ≤ 30 Strong downward momentum (bottom regime)
30–70 Transition / breathing space
But the key point is this 👇
The bottom/top RSI is FOLLOWED within these regimes, it doesn't lock in immediately.
What and How
🔺 🔻 Locked RSI peak/trough
HH/HL RSI upward trend
LH/LL RSI downward trend
Small points being followed (not yet locked)
If RSI HL breaks, the trend ends
WHAT YOU SHOULDN'T DO?
❌ Don't assume it's a buy-sell indicator alone
❌ Don't short just because you see RSI 70
❌ Don't long just because you see RSI 30
This indicator:
Answers the question "Which side should I be on?"
It doesn't say "Enter right here"
TREND FILTER (MAIN USE)
LONG LOOK:
Last structure: HH + HL
RSI doesn't fall below 30
🔻 HL is protected
SHORT LOOK:
Last structure: LH + LL
RSI cannot rise above 70
🔺 LH is protected
❌ Don't take a trade in the opposite direction.
Valuation Multi-Asset [MTF]Description This indicator is a specialized Intermarket Analysis tool designed to determine the relative valuation of an asset by comparing its performance against key global benchmarks (Currency, Commodities, Bonds, and Sector ETFs).
Unlike standard oscillators (like RSI) that only look at the asset's own price, this script calculates a Relative Value Index.
Underlying Concepts & Methodology The script operates on the principle of asset correlation and mean reversion ratios. The calculation logic follows these steps:
Ratio Calculation: It computes the price ratio between the Chart Asset and a Benchmark Asset (e.g., Symbol / DXY).
Smoothing: It applies a double smoothing method using Exponential Moving Averages (EMAs) to filter out short-term noise from the ratio.
Historical Normalization: Based on valuation theories (inspired by concepts like Larry Williams' valuation window), the script normalizes the smoothed ratio over a user-defined lookback period (default is 3 years/156 weeks). This ranks the current relative value between 0 and 100.
Key Features
Multi-Benchmark Comparison: Automatically compares the asset against the Dollar Index (DXY), Gold (GC1!), Bonds (ZB1!), and Sector ETFs.
MTF Dashboard: Includes a Multi-Timeframe table to see valuation status across Daily, Weekly, and Monthly views simultaneously.
ETF Reference: A built-in reference table to help you quickly find the correct Sector ETF for stock correlation.
How to Use
Undervalued Zone (< 15): When the line turns Green (or enters the bottom zone), the asset is historically cheap relative to the benchmark. This often indicates a potential accumulation or reversal point.
Overvalued Zone (> 85): When the line turns Red (or enters the top zone), the asset is historically expensive relative to the benchmark, suggesting potential distribution.
Divergences: Watch for divergences between the asset price and the Valuation Index (e.g., Price makes a new high, but the Valuation Index against Gold makes a lower high).
Settings
You can toggle individual benchmark lines (Asset 1 to 4).
Adjust the "Lookback Period" to change the historical normalization window.
Customize the Overbought/Oversold thresholds.
To comply with House Rules regarding non-English UI, here is the translation of the script's settings menu:
1. Seleção de Ativos (Asset Selection)
Usar Timeframe Personalizado = Use Custom Timeframe
Mostrar Ativo = Show Asset
Símbolo = Symbol
2. Tabela de Referência de ETFs (ETF Reference Table)
Posição da Tabela = Table Position
Categoria = Category (Sectors, Metals, Energy, Grains, Softs, Livestock)
3. Parâmetros do Índice (Index Parameters)
Comprimento EMA = EMA Length
Comprimento R do VIndex = VIndex Lookback Period
4. Níveis de Valuation (Valuation Levels)
Sobrevaloração = Overvaluation
Subvaloração = Undervaluation
Nível Neutro = Neutral Level
5. Configurações de Tabela (Table Settings)
Tamanho do Texto = Text Size
Tema = Theme (Dark/Light)
Usar Cores Personalizadas = Use Custom Colors
Mostrar Setas de Momentum = Show Momentum Arrows
6. Análise Multi-Timeframe (MTF Analysis)
Mostrar Colunas = Show Columns
Descrição Este indicador é uma ferramenta de Análise Intermercado projetada para determinar o "Valuation" (valor relativo) de um ativo comparando seu desempenho com benchmarks globais (Dólar, Ouro, Títulos e ETFs Setoriais).
Conceitos e Metodologia O script opera com base no princípio de correlação de ativos e reversão à média de ratios. A lógica de cálculo:
Cálculo da Razão: Calcula a divisão de preço entre o Ativo do Gráfico e o Benchmark (ex: Ativo / DXY).
Suavização: Aplica Médias Móveis Exponenciais (EMAs) para filtrar o ruído.
Normalização Histórica: Baseado em teorias de valuation (inspirado no método de "Valuation Index" de Larry Williams), o script normaliza esse ratio dentro de uma janela histórica (padrão de 3 anos/156 semanas), classificando o valor atual entre 0 e 100.
Como Usar
Zona Subvalorizada (< 15): Quando a linha fica Verde, o ativo está historicamente barato em relação ao benchmark.
Zona Sobrevalorizada (> 85): Quando a linha fica Vermelha, o ativo está historicamente caro em relação ao benchmark.
BTC - BEAM: Adaptive Multiple (Open-Source)Title: BTC - BEAM: Adaptive Multiple Cycle Oscillator | RM
Overview & Philosophy
The BTC - BEAM (Bitcoin Economics Adaptive Multiple) is a premier macro-valuation tool designed to identify the "Logarithmic Pulse" of Bitcoin's 4-year cycles. Unlike standard oscillators that lose relevance as the network grows, BEAM uses an adaptive baseline that tracks Bitcoin’s fundamental growth curve with precision.
It identifies the harmonic distance between the current price and its multi-year mean, helping you spot the rare windows of deep capitulation and terminal euphoria.
Methodology
This edition is a hardened, gap-proof and Open-Source implementation of the canonical BEAM model.
1. The 1400-Day Anchor (200 Weeks):
The model is anchored to a 1400-day Simple Moving Average. On the Weekly chart, this aligns with the legendary 200-week moving average—the historical "floor" of the Bitcoin network. It represents one full halving cycle of data.
2. Daily-Lock Architecture:
Even when viewed on the 1W chart, the script performs its calculations using Daily data. This ensures that the oscillator captures the exact peak day of a cycle, providing a "high-resolution" signal within a "low-noise" weekly environment.
3. Logarithmic Normalization:
We calculate the natural logarithm of the price-to-mean relationship, scaled by a factor of 2.5: Score = ln(Price / 1400d MA) / 2.5 This creates a standardized "Multiple" that remains comparable across all Bitcoin eras.
How to Read the Chart (1W Context)
🟧 The BEAM Line (Orange): Tracks the "macro heat" of the market. On the 1W chart, look for the slope of this line to identify cycle acceleration.
🔴 The Cycle Ceiling (Score > 1.0): Historical Cycle Tops. When the weekly candle sustains in this zone, the market has reached a state of unsustainable mania. Every major blow-off top has been captured in this red corridor.
🟢 The Cycle Floor (Score < 0.1): Generational Accumulation. On the 1W chart, these zones appear as extended "green troughs." These are the only times in history where Bitcoin is fundamentally "too cheap" relative to its 4-year trend.
The Status Dashboard
The bottom-right monitor provides immediate cycle classification:
• BEAM Score: The exact logarithmic multiple.
• Cycle Regime: ACCUMULATION , NEUTRAL , or OVERHEATED .
Credits
BitcoinEcon: For the original concept of the BEAM adaptive model.
⚠️ RECOMMENDATION: While this indicator captures daily data, it is strongly recommended to be viewed on the Weekly (1W) Timeframe. The 1W chart filters market noise and perfectly reveals the long-term "Cycle Narrative."
Disclaimer
This script is for research and educational purposes only. Macro indicators provide structural context; they are not crystal balls. Always manage your risk according to your personal financial plan.
Tags
bitcoin, btc, beam, macro, cycle, halving, log-growth, valuation, on-chain, Rob Maths
Composite Fear & Greed IndexComposite Fear & Greed Index
This is an advanced, professional-grade sentiment analysis engine designed to quantify market psychology. Unlike standard oscillators that rely on a single metric, this script uses a weighted composite of four distinct technical components to generate a holistic "Fear & Greed" score.
It includes Multi-Timeframe (MTF) capabilities, proprietary FOMO/Panic detection logic, and Zero-Lag trend analysis.
1. Unique Mathematical Methodology
This script is not a simple overlay of existing indicators. It uses a Composite Normalization Engine to blend four distinct metrics into a single, bounded 0-100 oscillator.
The "Mashup" Problem Solved: Standard indicators like MACD are "unbounded" (they can go to infinity), while RSI is "bounded" (0-100). You cannot simply average them.
Our Solution: This script calculates the Z-Score of the MACD histogram relative to its historical deviation and normalizes it into a 0-100 percentile. This allows for a mathematically valid combination with RSI and Bollinger Bands.
The Component Logic:
Momentum (RSI): (Weight: 30%) Pure price velocity.
Volatility (Bollinger %B): (Weight: 25%) Relative position within volatility bands.
Trend Strength (Normalized MACD): (Weight: 25%) Uses the custom Z-Score logic described above.
Trend Integrity (ZLEMA): (Weight: 20%) We replaced the standard SMA with a custom Zero-Lag Exponential Moving Average (ZLEMA) algorithm. This removes the "lag" associated with traditional sentiment analysis, allowing the index to react to crypto volatility in real-time.
The Calculation: These raw values are weighted and smoothed to produce the final Index Value.
Greater than 80: Extreme Greed (High risk of reversal)
Less than 20: Extreme Fear (Potential accumulation zone)
2. Unique Features
A. FOMO & Panic Event Detection The script does not just track price; it tracks behavior.
FOMO (Fear Of Missing Out): Triggered when Price breaks the Upper Bollinger Band + RSI is Overbought + Volume spikes > 2.5x the average. This often marks local tops.
PANIC: Triggered when Price drops significantly in one bar + Volume spikes > 3.0x the average + RSI is Oversold. This often marks capitulation bottoms.
B. Divergence Detection The script automatically detects and plots Regular Bullish and Bearish divergences between Price and the Sentiment Index.
Bullish Divergence: Price makes a Lower Low, but Sentiment makes a Higher Low (indicating waning selling pressure).
Bearish Divergence: Price makes a Higher High, but Sentiment makes a Lower High (indicating waning buying pressure). Note: The script plots these signals precisely on the indicator line corresponding to the pivot point.
C. Multi-Timeframe (MTF) Engine Users can view the "Daily" sentiment score while trading on a 5-minute or 15-minute chart. This allows scalpers to align their trades with the higher-timeframe market psychology.
3. Usage Guide
Step 1: Trend Alignment Look at the dashboard or the main line color. Green indicates Greed/Uptrend, Red indicates Fear/Downtrend.
Step 2: Extremes
Sell/Take Profit: When the Index crosses 80 (Extreme Greed) or a "FOMO" triangle appears.
Buy/Long: When the Index crosses 20 (Extreme Fear) or a "PANIC" triangle appears.
Step 3: Confirmation Use the Divergence Dots as confirmation. A "Panic" signal followed by a "Bullish Divergence" dot is a high-probability reversal setup.
Settings
Timeframe: Select the MTF resolution (default is Chart).
Weights: You can adjust the influence of RSI, MACD, BB, or Trend to fit your specific asset class.
Visuals: Fully customizable colors, table position, and toggle switches for shapes/backgrounds.
Disclaimer: This script is for informational purposes only and does not constitute financial advice.
ADX-CCI Trend Entry Signals ADX-driven to understand intensity of move.
CCI-cross over/under "0-line" indicator.
Simple yet effective.
CandelaCharts - Composite Pressure Index 📝 Overview
The CandelaCharts – Composite Pressure Index (CPI) is a multi-factor oscillator that blends RSI , Money Flow Index (MFI) , and Chaikin Money Flow (CMF) into a single, stretchable “pressure” line. Instead of looking at three separate indicators, CPI compresses price momentum and volume flow into one normalized curve around 0 , then amplifies extremes using a rolling z-score .
The result is a dynamic gauge of buying vs. selling pressure that can travel beyond ±1 during strong regime shifts, helping you spot exhaustion, climaxes, and trend-strength phases more intuitively.
📦 Features
Composite pressure engine – Combines RSI, MFI, and CMF into a single normalized oscillator around 0, giving you a unified view of market pressure.
Custom weighting of components – Independently weight RSI, MFI, and CMF to prioritize pure price momentum or volume-driven signals.
Rolling z-score stretch – Uses a configurable z-score window to “stretch” the composite values, letting the line exceed ±1 during extremes instead of staying capped.
Adaptive amplitude control – An amplitude (gain) factor lets you scale how aggressive or subtle the CPI swings appear.
EMA smoothing – Optional smoothing removes noise while preserving the timing of swings and reversals.
Visual pressure band – Zero, +1, and -1 reference lines with a shaded band make it easy to see when pressure is “normal” vs. extended.
Dynamic color gradients – Warm/orange tones above 0 for bullish pressure and cool/blue tones below 0 for bearish pressure, with saturation increasing as pressure intensifies.
NA-safe statistics – Custom mean and standard deviation routines ensure stable behavior from the start of the chart and during partial history.
⚙️ Settings
RSI Length : Lookback length for RSI . Higher values smooth the RSI component; lower values make it more reactive to short-term price momentum.
MFI Length : Lookback length for the manual Money Flow Index . Adjust this to control how sensitive CPI is to price–volume interaction.
CMF Length : Lookback length for Chaikin Money Flow . This defines the window used to assess accumulation/distribution through volume flow.
RSI Weight : Relative importance of RSI within the composite. Increasing this emphasizes pure price momentum in the CPI.
MFI Weight : Relative importance of MFI. Higher values strengthen the influence of volume-weighted price moves.
CMF Weight : Relative importance of CMF. Raising this highlights accumulation/distribution as a driver of the pressure index.
Smoothing : EMA length applied to the stretched CPI line. A value of 1 effectively disables smoothing, while higher values reduce noise at the cost of a slight lag.
Z-score Window : Rolling window used to compute the mean and standard deviation of the raw composite. This defines the statistical context for what counts as “extreme”. Shorter windows adapt faster; longer windows give a more stable regime.
Amplitude : Gain factor applied to the z-scored composite. Values above 1.0 exaggerate swings and make extremes more visually pronounced; values below 1.0 compress them.
⚡️ Showcase
Composite Pressure Index
Mean Line
Divergences
📒 Usage
1. Identify directional pressure regimes
Use 0 as the key balance line:
CPI > 0 → Net bullish pressure (buyers in control).
CPI < 0 → Net bearish pressure (sellers in control).
You can treat prolonged stays above or below 0 as confirmations of trend direction, especially when price structure agrees.
2. Read statistical extremes instead of fixed levels
Because CPI is stretched via a z-score , values beyond ±1 typically represent statistically meaningful extremes within your chosen window:
CPI > +1 → Overextended bullish pressure / potential euphoria.
CPI < -1 → Overextended bearish pressure / potential capitulation.
These zones are not automatic reversal signals, but they highlight areas where monitoring for exhaustion, blow-offs, or risk-reward shifts can be beneficial.
3. Spot divergences with price
Classic divergence logic applies particularly well when pressure is composite:
Bearish divergence – Price makes higher highs, but CPI makes lower highs or fails to confirm.
Bullish divergence – Price makes lower lows, but CPI makes higher lows or shows less downside extension.
These patterns can be integrated with support/resistance, liquidity levels, and other CandelaCharts tools.
4. Tune the weights to your strategy
Adjust the three weights to match your focus:
Higher RSI weight → More sensitivity to pure price momentum (good for breakout or trend-following systems).
Higher MFI weight → Greater emphasis on price–volume interaction (ideal for spotting volume-confirmed moves).
Higher CMF weight → Stronger focus on accumulation/distribution (helpful for swing and position traders).
5. Integrate with existing setups
The CPI is designed to sit comfortably below price:
Use it as a “context” oscillator underneath your main price-action and liquidity models.
Combine CPI extremes and divergences with key levels, range models, or order flow signals for higher-confluence entries.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Williams %RDescription
This is a modified version of the classic Williams %R oscillator, adapted for markets with defined trading sessions (e.g., FTSEMIB, DAX, US stocks, etc.). It adjusts the lookback period based on the actual trading session length, making it more accurate on intraday timeframes.
Key Features
Session Adjustment:
Automatically scales the period to trading days (default: 8.5 hours for FTSEMIB, DAX, CAC; customizable for any market).
Formula (classic Williams %R):
%R = 100 × (Close - Highest High) / (Highest High - Lowest Low)
over a user-defined period (default 14 days).
Standard Levels:
-20 (overbought)
-50 (middle line)
-80 (oversold)
Visual Enhancements:
- Customizable colors for the line, levels, and background fill
- Shaded overbought/oversold zone
How to Use:
Overbought (above -20):
Potential sell signal or reversal (especially after a prolonged uptrend).
Oversold (below -80):
Potential buy signal or reversal (especially after a downtrend).
Divergences:
Look for bullish/bearish divergences between price and %R for early reversal warnings.
Best Markets:
Indices (FTSEMIB, DAX, SPX), stocks, futures. For 24/7 markets (crypto), set session duration to 24 hours.
Timeframes:
Works on intraday (15m, 1h, etc.) and daily charts.
Customization Tips:
- Adjust the period (shorter = more sensitive, longer = smoother).
- Change session duration for different markets.
- Customize colors to match your chart theme.
Note: Williams %R is a momentum oscillator and should be used in combination with other tools (trendlines, support/resistance, volume). Always practice proper risk management.
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
Dark Pool Pulse - Volume Pressure OscillatorDark Pool Pulse – Volume Pressure Oscillator
Description
OVERVIEW
Dark Pool Pulse is a protected technical analysis oscillator designed to visualize changes in directional volume pressure over time. The indicator transforms cumulative buying and selling activity into a normalized oscillator to help traders contextualize periods of relative market stability versus expansion.
The script is intended as a market condition visualization tool, not a signal generator.
CORE CONCEPT
The indicator evaluates the balance between buying and selling volume by tracking cumulative directional pressure. This pressure is used as a proxy for broader liquidity behavior, allowing traders to assess whether price action is occurring in a relatively stable environment or during periods of accelerating participation.
Rather than focusing on individual candles, the oscillator emphasizes persistence of volume imbalance across a rolling window.
CALCULATION FRAMEWORK
Directional Volume Pressure
The script measures the difference between buying and selling volume on each bar and accumulates this value over time to form a Net Pressure series.
Normalization Process
To make pressure comparable across symbols and timeframes, the cumulative series is normalized using a dynamic lookback window. This process scales the output to a bounded range between 0 and 100.
Oscillator Construction
The normalized pressure value is plotted as a single oscillator, allowing traders to observe shifts in participation intensity rather than raw volume magnitude.
INTERPRETING THE OSCILLATOR
60–100: Relative Stability
Indicates sustained volume balance and slower pressure changes, often associated with consolidation or mean-reverting conditions.
0–40: Relative Expansion
Indicates persistent directional pressure, often associated with momentum-driven or higher-volatility environments.
These zones are contextual references, not predictive thresholds.
DESIGN INTENT & LIMITATIONS
Dark Pool Pulse does not identify specific participants, venues, or transactions. It does not measure actual dark pool activity and should not be interpreted as such. All calculations are derived solely from publicly available price and volume data.
The script does not generate trade signals, alerts, or execution guidance.
SOURCE & DISCLAIMER
Published as a protected script to preserve the specific normalization techniques used in the pressure calculations.
This indicator is provided for educational and analytical purposes only and should be used alongside other forms of technical analysis.
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
Bear Momentum Engine (RSI Regime)Title: Bear Momentum Engine (RSI Regime)
Bear Momentum Engine is a professional-grade analytical tool designed specifically for crypto markets during bearish cycles. Unlike traditional RSI indicators that look for "oversold" levels, this engine focuses on momentum structure and regime expansion phases.
The Philosophy
Most traders lose money by buying "oversold" RSI during a crash. This tool is built on Andrew Cardwell’s range shift theory: in a true bear regime, RSI struggles to break above 60, and its real power is found in how it expands away from its moving average.
Key Features:
Bear Regime Detection: Automatically identifies the bearish market phase. The background turns red only when the structural momentum confirms a downside bias.
Momentum Expansion: A proprietary algorithm tracks the "detachment" of RSI from its MA. When the distance increases, it signals a high-probability bearish thrust.
Iron Exit: A disciplined profit-taking system. It triggers an exit signal as soon as the momentum starts to fade, allowing you to lock in gains before the bounce.
No-Trade Zones: Filters out "market noise." The gray background indicates a sideways market where the risk-to-reward ratio is unfavorable.
Best Use Cases:
Strategy: Short-selling, Futures, and Perpetuals.
Goal: Trading with the trend and avoiding "bull traps."
Recommended Timeframes: 1H, 4H, Daily.
Best RSI (SIIT) By Nagaraj HiremathBest RSI (SIIT) By Nagaraj Hiremath is based on RSI shows when to By and sell .
RSI with 3 Separate Smoothing AveragesRSI has 3 moving averages, to help trade better
RSI period can be adjusted
Moving average has multiple selections (SMA, EMA, HMA)
moving average cross over can be used as signal for trades
Trade at your own risk
