eFkolos TechMachine learning-enhanced SuperTrend indicator that uses k-means clustering to adaptively optimize SuperTrend parameters based on historical performance. Let me break down what makes this unique:
Key Innovation
Instead of using a single fixed SuperTrend factor, this indicator:
Calculates multiple SuperTrends simultaneously (with factors from 1 to 5 by default, stepped at 0.5)
Tracks performance of each variant using exponential smoothing
Clusters them into 3 groups (Best/Average/Worst) using k-means algorithm
Adapts by selecting the average factor from your chosen cluster
Clever Technical Aspects
Performance Metric: Uses a smart approach where performance = EMA of (price_change × signal_direction), giving positive values when the SuperTrend correctly predicts direction.
K-means Implementation: Properly initializes centroids using quartiles and iterates until convergence - this is solid unsupervised learning.
Adaptive MA Layer: The perf_ama that adapts faster when the performance index is high (more confidence) and slower when low.
Memory Management: Uses UDTs (User Defined Types) efficiently with arrays to handle multiple SuperTrend instances.
Bands and Channels
Todays Session Open LN,NYWhen are the Asian, London and New York open for each session simple stuff trading view made me right more stuff so i can publish this what to do c'est la vie
VIX Implied move on ESCalculated the moves based on VIX and draws horizontal lines on ES. Best timeframe to start is 18 hrs.
3SD Bollinger Exhaustion & Reversal Alert IndicatorThe Bollinger Band 3 Standard Deviation (3SD) captures roughly 99% of price action within its boundaries.
When price moves beyond these extremes, it often signals temporary overextension — creating opportunities for mean reversion trades, especially when aligned with the prevailing trend.
This indicator alerts you when:
- Price touches the 3SD Bollinger Band on higher timeframes (H4, D1, W1, M1), and
- A reversal reaction occurs — defined by a bullish or bearish candle close on H1 or H4.
Together, these conditions identify potential high-probability entry zones where exhaustion meets trend alignment.
🚀 Coming Soon
A premium version is in development, combining this 3SD exhaustion logic with my proprietary trend-following system.
It will generate confluence-based trade signals when price interacts with both the 3SD band and the trend-following band.
Stay tuned for updates.
PDH & PDL Levels This indicator mark previous day high and low lines on current day. Lines will start at opening of the market and will remain there till end of the day. Lines are marked with PDH and PDL labels
Gaussian RibbonSummary
Adaptive Gaussian ribbon with inner/outer sigma bands and soft regime colors—green trend, red pressure, gray neutral.
What it is
A clean Gaussian filter ribbon that maps trend + volatility without the jitter. It uses a Gaussian smoother, a tiny EMA basis, and two standard-deviation bands. Color fades with distance from the basis, and flips softly (no knife-edge).
How it works
Gaussian core: IIR-style smoothing on your chosen source (default hlc3).
Basis: EMA(3) of the Gaussian for a steadier slope.
Bands: Inner = Basis ± (σ × Inner Mult), Outer = Basis ± (σ × Outer Mult).
Regime: z-score → softsign → EMA(3) → bull / neutral / bear.
Faded look: opacity ramps with distance; neutral turns gray.
What “Regime” Means (Simple)
A regime is the market’s “weather.” It shifts between Bull, Neutral, and Bear. Different tactics work in each.
How this indicator detects regime
Builds a smoothed score of price vs. the basis (z-score → softsign → EMA).
Score > 0 = Bull, score < 0 = Bear. Inside the inner band = Neutral filter to cut noise.
Color changes are soft (faded) so flips don’t knife-edge.
Playbook (What to do)
Bull (Green): Buy pullbacks to the inner band; add on strength; cut fast if price falls back inside the ribbon.
Neutral (Gray): Reduce size, fade extremes, or stand down. Wait for a clean break in either direction.
Bear (Red): Sell/short rallies to the ribbon; protect capital; flip long only after a confirmed regime turn.
For Pros (Tuning & Confirmation)
Timeframe bias: Use higher TF (1W/2W) for context; trade on 1D/4H in the higher-TF direction.
Smoother vs faster: Increase Length to reduce flip-flop; decrease for earlier turns.
Vol filter: Widen Outer/Inner multipliers in choppy markets; narrow in strong trends.
Confirm: Use structure (HH/HL vs LH/LL), volume/OBV, or your MA; ribbon = context, not a standalone trigger.
How to read it
Green = trend support; pullbacks to the inner band are typical buy-the-dip zones.
Gray = inside ribbon; chop/mean reversion. Size down or wait.
Red = trend pressure; rallies into ribbon are fade zones until regime flips.
Opacity increases with distance = stronger momentum.
Good starting presets
Macro (1W–2W): Length 90–110, Outer 2.3, Inner 1.3, Source hlc3.
Swing (1D): Length 60–80, Outer 2.0, Inner 1.4.
Intraday (1–4H): Length 30–40, Outer 1.8, Inner 1.2.
Options
Opens in a separate pane (overlay=false). Set overlay=true to place on candles (consider +5 transparency on fills).
Watermark is “CAYEN” (table-based, no editor drama).
Why it’s “safe”
No repaint. No lookahead; uses only closed-bar data.
Deterministic state and divide-by-zero guards.
Limitations
It’s a context tool. It will lag at regime turns (by design). Use structure/volume to time entries.
Credits
Script by Jason Cayen. Gaussian smoothing is classic DSP math (public domain).
Release notes (v1.0)
Initial public release: faded bands, neutral zone, soft regime colors, Non-repainting; pane by default.
Bullish & Bearish Reversal Pattern with Sequential Bars20 Bollinger Bands and custom Stochasti_MTM Setup
Both long and short reversal signals.
Triple EMA (5, 8, 13) + Confirmed Alerts with SoundThis indicator uses three Exponential Moving Averages (EMA 5, 8, and 13) to generate buy and sell signals when the EMAs are properly aligned and not touching. Signals are confirmed on candle close and can trigger customizable sound alerts directly from the TradingView alert panel.
Reverse RSI LevelsSimple reverse RSI calculation
As default RSI values 30-50-70 are calculated into price.
This can be used similar to a bollinger band, but has also multiple other uses.
70 RSI works as overbought/resistance level.
50 RSI works as both support and resistance depending on the trend.
30 RSI works as oversold/support level.
Keep in mind that RSI levels can go extreme, specially in Crypto.
I haven't made it possible to adjust the default levels, but I've added 4 more calculations where you can plot reverse RSI calculations of your desired RSI values.
If you're a RSI geek, you probably use RSI quite often to see how high/low the RSI might go before finding a new support or resistance level. Now you can just put the RSI level into on of the 4 slots in the settings and see where that support/resistance level might be on the chart.
MNQ Hybrid Scalper Pro - Advanced NASDAQ Futures Scalping System🎯 Overview
The MNQ Hybrid Scalper Pro is a comprehensive scalping system engineered specifically for NASDAQ futures traders. This indicator implements a modern hybrid approach that combines institutional-grade VWAP analysis with momentum oscillators optimized for the unique volatility characteristics of the NASDAQ market. Developed through extensive research on MNQ/NQ price action patterns, this indicator provides clear, actionable signals while filtering out market noise during high-volatility periods.
✨ Key Features
1. VWAP Foundation
Session-anchored VWAP with automatic reset
Dynamic standard deviation bands (1σ and 2σ)
Color-coded price bars based on VWAP positioning
VWAP test detection with momentum confirmation
2. Optimized Momentum Suite
Fast RSI (7): Aggressive settings (85/15) for quick scalping signals
Scalping MACD (5,13,6): Optimized parameters with SMA option
Quick Stochastic (9,3,3): Tuned for 1-minute chart responsiveness
Divergence Detection: Automated bullish/bearish divergence alerts
3. Multi-Timeframe Trend Filter
Triple EMA system (9, 21, 50) on current and higher timeframes
Trend strength scoring (-3 to +3) for directional bias
Prevents counter-trend trades in strong trending markets
Visual trend alignment indicators
4. Smart Signal Generation
Long Signals: VWAP pullback + RSI oversold + MACD bullish turn + HTF trend alignment
Short Signals: VWAP rally + RSI overbought + MACD bearish turn + HTF trend alignment
Signal cooldown period to prevent overtrading
Session-based filtering for optimal trading windows
5. Risk Management Visualization
Automatic profit target levels (10 & 20 points)
Dynamic stop loss levels (6 & 8 points)
Risk/reward ratio calculation (minimum 1.5:1)
Breakeven level display after 5 points profit
Visual entry, target, and stop lines on chart
6. Session Intelligence
NY opening range highlight (first 30 minutes)
Optimal scalping window shading (9:30-11:30 AM EST)
Major session markers (Asia, Europe, NY)
Session countdown timer
Contract rollover reminders
7. Real-Time Performance Dashboard
Current trend status across timeframes
Signal statistics and win rate tracking
Position relative to VWAP
Momentum indicator status (OB/OS/Neutral)
Volume analysis (relative to 20-period average)
Volatility monitoring with ATR spike detection
8. Professional Alert System
High-probability entry alerts with specific levels
VWAP test notifications with momentum confirmation
Target and stop loss hit alerts
Trend alignment notifications
Comprehensive alert messages with entry, stop, and target prices
📈 How to Use
Optimal Setup:
Timeframe: Best on 1-minute charts (also works on 3-min and 5-min)
Instrument: Optimized for MNQ (Micro E-mini NASDAQ), works with NQ
Session: Most effective during NY session (9:30-11:30 AM EST)
Chart Type: Standard candlestick or bars
Signal Interpretation:
Green Triangle (▲): Long entry signal - all conditions aligned for upward scalp
Red Triangle (▼): Short entry signal - all conditions aligned for downward scalp
DIV Labels: Momentum divergence detected - potential reversal zones
Colored Bars: Green = above VWAP (bullish bias), Red = below VWAP (bearish bias)
Entry Checklist:
Wait for signal arrow to appear
Confirm trend alignment in dashboard (HTF Trend)
Check momentum status isn't extreme
Verify you're within optimal trading window
Enter at market with predetermined stop and target
⚙️ Customization Options
Display Settings:
Toggle individual components on/off
4 color schemes (Professional, Dark, Light, Classic)
Adjustable transparency and visual elements
Dashboard position selection
Signal Settings:
Adjust momentum indicator parameters
Modify risk/reward levels
Configure session filters
Set signal cooldown periods
Advanced Features:
Multi-timeframe period adjustment
Volatility filter sensitivity
Contract type selection (MNQ/NQ)
Alert configuration options
📊 Best Practices
Start in Simulation: Test the indicator in paper trading first
Respect the Trend: Don't fight the higher timeframe trend
Manage Risk: Use the suggested stop losses consistently
Time Your Trades: Focus on the optimal scalping window
Confirm Signals: Best results when multiple confirmations align
⚠️ Important Notes
Supplementary Tool: This indicator supplements but doesn't replace proper market analysis and order flow reading
No Repainting: All signals are confirmed on bar close
Education Required: Understanding of scalping principles recommended
Risk Management: Always use proper position sizing and risk management
Market Conditions: Performance varies with market volatility and conditions
🎓 Educational Value
This indicator serves as an excellent educational tool for:
Learning VWAP-based trading strategies
Understanding momentum indicator optimization
Practicing multi-timeframe analysis
Developing systematic scalping approaches
Risk management visualization
💻 Technical Specifications
Pine Script Version: v6
Calculation Method: Non-repainting, real-time
Performance: Optimized for minimal lag
Compatibility: All TradingView plan levels
Updates: Regularly maintained and improved
🏆 What Makes This Unique
Unlike generic indicators, the MNQ Hybrid Scalper Pro is specifically engineered for NASDAQ futures volatility patterns. It combines institutional trading concepts (VWAP) with retail-friendly visualization and clear signals, bridging the gap between professional and accessible trading tools.
📬 Support & Feedback
Questions, suggestions, or feedback? Leave a comment below or send a private message. Your input helps improve the indicator for the entire community.
CME_MINI:MNQ1!
Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and consult with a qualified financial advisor.
Svopex Session Highlighter# Session Highlighter
## Description
**Session Highlighter** is a powerful Pine Script indicator designed to visually identify and mark specific trading hours on your chart. This tool helps traders focus on their preferred trading sessions by highlighting the background during active hours and marking the session start with customizable visual markers.
## Key Features
- **📊 Session Background Highlighting**: Automatically shades the chart background during your defined trading hours (default: 7:00 - 23:00)
- **🎯 Smart Session Start Marker**: Places a marker on the last candle before session start, intelligently adapting to your timeframe:
- 1 Hour chart: Marker at 6:00
- 15 Minute chart: Marker at 6:45
- 5 Minute chart: Marker at 6:55
- 1 Minute chart: Marker at 6:59
- **🌍 Timezone Support**: Choose from multiple timezones (Europe/Prague, Europe/London, America/New_York, UTC)
- **🎨 5 Marker Styles**: Customize your session start indicator:
- Triangle
- Circle
- Diamond
- Label with time text
- Vertical line
- **⚙️ Fully Customizable**: Adjust start/end hours, timezone, and marker style through simple settings
## Settings
- **Start Hour**: Set your session start time (0-23)
- **End Hour**: Set your session end time (0-23)
- **Timezone**: Select your trading timezone
- **Marker Style**: Choose your preferred visual marker
## Use Cases
- Identify London/New York trading sessions
- Mark Asian session hours
- Highlight your personal trading windows
- Avoid trading during off-hours
- Perfect for day traders and scalpers
## Installation
1. Copy the Pine Script code
2. Open TradingView Pine Editor
3. Paste the code and click "Add to Chart"
4. Configure settings to match your trading schedule
Corpus Bollinger BandsThis is a copy of the build-in indicator, but as addition, it shows the distance between upper and lower band in percentage.
Volume+RSI IndicatorVolume+RSI Indicator - It’s a hybrid momentum indicator that combines Relative Strength Index (RSI) and Volume data. While RSI measures the strength and speed of price movement, volume measures the strength of participation. When combined, they can filter out false signals and confirm strong market moves.
Mohit-Fixed 4H & 15M Basesbase concept script
taught by Team ATM
A Trading Monk
-Nitin Makhija
-Akhilesh Pandey
TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction.
- When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend.
- When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase.
This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition.
TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Volume TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction.
- When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend.
- When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase.
This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition.
TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Orb SignalLightThe ORB Signal Light is the free version of our flagship ORB Signal Pro indicator, designed for traders who use the Opening Range Breakout (ORB) as their core framework.
It automatically plots your session range, highlights breakout zones, and gives you the same clean visual foundation used by thousands of traders inside the Midas Touch community — without the advanced automation.
Key Features:
• Automatic ORB detection (5m / 15m adaptive)
• Clean breakout visualization and ORB bands
• Lightweight design for faster performance
Limitations:
The Crazy Horse Strategy, Dynamic Money Management, Setup Grading, and Automatic Stop Loss Logic are locked in this version and only available in ORB Signal Pro.
📍 Built for ORB Addicts. Powered by The Midas Touch Trading Group.
Bollinger Band Width Oscillator %🧠 Bollinger Band Width Oscillator %
The Bollinger Band Width Oscillator % is a volatility-focused tool that measures the relative width of Bollinger Bands and transforms it into an oscillator format. It helps traders visualize volatility expansions and contractions directly in an indicator pane — a powerful way to anticipate breakout or consolidation phases.
🔍 How It Works
Band Width %: Calculates the percentage distance between the upper and lower Bollinger Bands relative to the basis (SMA).
Smoothed Output: The raw bandwidth is smoothed using a moving average for cleaner, more stable signals.
Dynamic Volatility Zones: The script automatically computes average, high, and low volatility thresholds — each dynamically adapting to market conditions.
User-Adjustable Multipliers: Control how sensitive your high/low zones are with the High Zone Multiplier and Low Zone Multiplier inputs.
⚙️ Key Features
📊 Oscillator Format – Easy-to-read visualization of volatility compression and expansion.
🔥 High/Low Volatility Detection – Automatic labeling and color-coded alerts for shifts in volatility.
🧩 Dynamic Thresholds – Zones adjust automatically with market activity for adaptive sensitivity.
🧠 Hysteresis Logic – Prevents rapid signal flipping, improving clarity and reliability.
🎨 Custom Visuals – Adjustable smoothing and background highlights for quick interpretation.
📈 Trading Applications
Identify Breakouts: Rising bandwidth often precedes price breakouts.
Spot Consolidations: Low bandwidth indicates tightening volatility and potential range trades.
Volatility Regime Analysis: Understand market rhythm and adapt strategies accordingly.
⚡ Inputs
Parameter Description
Band Length Period for Bollinger Band calculation
Band Multiplier Standard deviation multiplier for the bands
Source Price source (default: close)
Smoothing Period for smoothing the oscillator line
High Zone Multiplier Adjusts the high-volatility threshold
Low Zone Multiplier Adjusts the low-volatility threshold
Highlight Volatility Zones Optional background color overlay
🧊 Usage Tip
Combine this indicator with momentum tools or price action analysis to confirm trade setups. Watch for transitions from low to high volatility zones — these often signal the beginning of major market moves.
Fishnet Squeeze [Osprey]🟠 Overview
The SMA Fishnet with Squeeze indicator combines a multi-timeframe moving average ribbon system with an advanced squeeze detection algorithm to help traders identify both trend direction and potential breakout opportunities.
🟠 How to Use This Indicator
- Squeeze Breakout Trading
When the indicator signals a squeeze (yellow diamond marker and highlighted background), prepare for a potential breakout in either direction
- Support and Resistance Identification
The twelve SMA levels act as dynamic support and resistance zones. Price often bounces or pauses at these levels, especially at the convergence of multiple SMAs.
Squeeze Settings
- **Enable/Disable**: Toggle squeeze detection on or off
- **Lookback Period**: Adjust the historical comparison window (20-200 bars)
- **Percentile Threshold**: Set sensitivity for squeeze detection (1-20%)
- **Minimum Duration**: Define how many bars must confirm a squeeze (1-10)
- **Visual Customization**: Modify squeeze marker colors to suit your preferences
‼️ Test different values for Lookback Period ! Lower lookback period = more frequent squeeze marks. I suggest using 31 or 100.
🟠 The Fishnet Structure
The indicator employs twelve SMAs ranging from ultra-short-term (3-period) to long-term (200-period), creating a "fishnet" pattern on your chart. This graduated approach provides a comprehensive view of price action across multiple timeframes simultaneously:
🟠 Advanced Squeeze Detection Algorithm
The squeeze detection component identifies periods when all twelve SMAs converge into an unusually tight range, indicating market indecision and potential energy buildup. The algorithm uses several sophisticated filters:
1. ATR-Normalized Range Calculation: The indicator normalizes the SMA range using Average True Range (ATR) to ensure consistent squeeze detection across different volatility environments and price levels.
2. Historical Percentile Analysis: Compares the current normalized range against a customizable lookback period (default: 31 bars) to identify when SMAs are in the bottom percentile of historical tightness.
3. Statistical Validation: Uses z-score analysis to confirm that the current range is significantly below the mean, filtering out false signals.
4. Duration Confirmation: Requires the squeeze condition to persist for a minimum number of consecutive bars (default: 3) to validate genuine compression.
5. Local Minimum Verification: Confirms that the current squeeze represents the tightest point in recent history (20-bar window).
ICT SMART MONEY__Advanced Multi-Timeframe Target TREND indicator with comprehensive ICT (Inner Circle Trader) concepts, session analysis, and smart money concepts for professional forex and crypto trading.__
---
### __🔥 Core Features:__
#### __📈 Multi-Timeframe Analysis__
- __7 Timeframe Table__: 1min, 5min, 15min, 30min, 1hour, 4hour, Daily analysis
- __Target System__: Stop Loss, Entry, TP1, TP2, TP3 calculations for each timeframe
- __Trend Direction__: Visual arrows showing bullish/bearish bias across all timeframes
#### __⚡ ICT Killzone Sessions__
- __4 Major Sessions__: Asia KZ, London KZ, NY AM, NY PM with colored session boxes
- __Pivot Lines__: Automatic high/low detection with full format labels ("ASIA High", "LONDON Low")
- __Global Label Alignment__: All session labels perfectly aligned for professional appearance
- __Range Analytics__: Real-time pip calculations with historical averages and Turkish volatility analysis
#### __🌍 Trading Session Management__
- __Individual Controls__: Asia/London sessions auto-enabled, NY sessions optional
- __Horizontal Lines__: Clean session high/low tracking without clutter
- __NY Lunch Session__: Additional 11:30-13:30 session for advanced analysis
- __Session Transparency__: Adjustable transparency levels for optimal chart visibility
#### __📍 Professional Key Levels__
- __Monday High/Low__: Weekly opening reference levels
- __Previous Day High/Low__: Daily support/resistance zones
- __Previous Week High/Low__: Major weekly levels
- __Full Format Labels__: "Previous Day High" instead of "PDH" for crystal clarity
- __160 Bar Distance__: Optimized label positioning for clean charts
#### __🔗 Liquidity Trendlines__
- __Automatic Detection__: 8-bar lookback pivot detection system
- __Breakout Signals__: Visual alerts when trendlines are broken
- __Dynamic Padding__: 4.0 ATR-based trendline spacing
- __Bullish/Bearish Colors__: Clear color coding for trend direction
#### __💎 Smart Money Concepts (SMC)__
- __Fair Value Gaps (FVG)__: Automatic gap detection with mitigation tracking
- __Structure Analysis__: BOS (Break of Structure) and CHoCH (Change of Character) detection
- __Structure Fibonacci__: 5-level fibonacci retracements (78.6%, 70.5%, 61.8%, 50%, 38.2%)
- __Lifecycle Management__: Complete FVG and structure history tracking
#### __📊 Range Analytics Table__
- __Session Volatility__: Current pip movement vs historical averages
- __Turkish Analysis__: "Güçlü Momentum", "Yüksek Aktivite", "Normal Aktivite", "Düşük Hareket", "Zayıf Session"
- __Integrated Display__: Seamlessly positioned below multi-timeframe table
- __Professional Formatting__: Color-coded session identification with status analysis
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description
## 📊 OVERVIEW
Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal.
---
## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL
### The Core Innovation: Weighted Confidence Scoring
Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that:
1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score
2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives
3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality
4. **Adapts to Market Conditions** - Different market regimes activate different component combinations
### Why This Combination is Useful
Traditional approaches suffer from:
- **Single-dimension bias**: RSI shows oversold, but trend is still down
- **Conflicting signals**: MACD says buy, but volume is weak
- **No prioritization**: All signals treated equally regardless of strength
QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align.
---
## 🔬 THE FOUR ANALYTICAL FRAMEWORKS
### 1. Temporal Fractal Resonance (TFR)
**What It Does:**
Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization.
**How It Works:**
- Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe
- Calculates "fractal strength" for each timeframe using this formula:
```
Fractal Strength = (Rate of Change / Standard Deviation) × 100
```
This creates a momentum-to-volatility ratio that measures trend strength relative to noise
- Computes a Resonance Index when all four timeframes show the same directional bias
- The index averages the absolute strength values when all timeframes align
**Why This Method:**
Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction.
**Contribution to Confidence Score:**
- TFR Bullish = +25 points
- TFR Bearish = +25 points (to bearish confidence)
- No alignment = 0 points
---
### 2. Cross-Asset Quantum Entanglement (CAQE)
**What It Does:**
Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves.
**How It Works:**
- Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars
- Calculates Pearson correlation coefficient between the main asset and each reference:
```
Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y))
```
- Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength:
```
Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3
```
- Detects "correlation breakdowns" when average correlation drops below 0.3
**Why This Method:**
Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that:
- Crypto assets often correlate with Bitcoin
- Risk assets inversely correlate with VIX (fear gauge)
- Dollar strength affects commodity and crypto prices
When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other.
**Contribution to Confidence Score:**
- CAQE Bullish (positive pressure, stable correlations) = +25 points
- CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish)
- Correlation breakdown = Warning marker (potential reversal zone)
---
### 3. Adaptive Market Psychology Matrix (AMPM)
**What It Does:**
Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change).
**How It Works:**
The system evaluates three metrics:
1. **RSI (14-period)**: Measures overbought/oversold conditions
2. **Volume Analysis**: Compares current volume to 20-period average
3. **ATR Rate of Change**: Detects volatility acceleration
Based on these inputs, the market is classified into:
- **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion)
- **Greed**: RSI > 70, normal volume (moderate bullish emotion)
- **Neutral**: RSI 40-60, declining volatility (balanced state)
- **Fear**: RSI 40-60, low volatility (uncertainty without panic)
- **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion)
- **Despair**: RSI < 20, normal volume (capitulation phase)
**Why This Method:**
Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because:
- At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left)
- At Panic/Despair bottoms, everyone bearish has already sold (no sellers left)
AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states.
**Contribution to Confidence Score:**
- Psychology Bullish (Panic/Despair + RSI < 35) = +15 points
- Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points
- Neutral states = 0 points
---
### 4. Time-Decay Probability Zones (TDPZ)
**What It Does:**
Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments.
**How It Works:**
- Calculates a 20-period Simple Moving Average as the basis line
- Computes standard deviation of price over the same period
- Creates four probability zones:
- **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary)
- **Upper Zone**: Basis + 1.5 standard deviations
- **Lower Zone**: Basis - 1.5 standard deviations
- **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary)
- Dynamically adjusts zone width based on ATR (Average True Range):
```
Adjusted Upper = Upper Zone + (ATR × adjustment_factor)
Adjusted Lower = Lower Zone - (ATR × adjustment_factor)
```
- The adjustment factor increases during high volatility, widening the zones
**Why This Method:**
Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting:
- Price has ≈99% probability of staying within extreme zones in normal conditions
- Touches to extreme zones represent statistical outliers (high-probability reversal opportunities)
- Zone expansion/contraction reflects volatility regime changes
- ATR adjustment prevents false signals during unusual volatility
The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return.
**Contribution to Confidence Score:**
- Price in Lower Extreme Zone = +15 points (bullish reversal probability)
- Price in Upper Extreme Zone = +15 points (bearish reversal probability)
- Price near basis = 0 points
---
## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS
### Signal Generation Formula
QMH calculates separate Bullish and Bearish confidence scores each bar:
**Bullish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bullish: 25 points (if all 4 timeframes aligned bullish)
+ CAQE Bullish: 25 points (if intermarket pressure positive)
+ AMPM Bullish: 15 points (if Panic/Despair contrarian signal)
+ TDPZ Bullish: 15 points (if price in lower probability zones)
─────────
Maximum Possible: 100 points
```
**Bearish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bearish: 25 points (if all 4 timeframes aligned bearish)
+ CAQE Bearish: 25 points (if intermarket pressure negative)
+ AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal)
+ TDPZ Bearish: 15 points (if price in upper probability zones)
─────────
Maximum Possible: 100 points
```
### Confirmed Signal Requirements
A **QBUY** (Quantum Buy) signal generates when:
1. Bullish Confidence ≥ User-defined threshold (default 60%)
2. Bullish Confidence > Bearish Confidence
3. No active sell signal present
A **QSELL** (Quantum Sell) signal generates when:
1. Bearish Confidence ≥ User-defined threshold (default 60%)
2. Bearish Confidence > Bullish Confidence
3. No active buy signal present
### Why This Approach Is Different
**Example Comparison:**
Traditional RSI Strategy:
- RSI < 30 → Buy signal
- Result: May buy into falling knife if trend remains bearish
QMH Approach:
- RSI < 30 → Psychology shows Panic (+15 points)
- But requires additional confirmation:
- Are all timeframes also showing bullish reversal? (+25 points)
- Is intermarket pressure turning positive? (+25 points)
- Is price at a statistical extreme? (+15 points)
- Only when total ≥ 60 points does a QBUY signal fire
This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities.
---
## 🚫 NO REPAINT GUARANTEE
**QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading.
### Technical Implementation:
1. **All Multi-Timeframe Data Uses Confirmed Bars**
```pinescript
tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off)
```
Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar.
2. **Lookahead Prevention**
```pinescript
lookahead=barmerge.lookahead_off
```
This parameter prevents the function from accessing future data that wouldn't be available in real-time.
3. **Signal Timing**
Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared.
### What This Means for Users:
- **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time
- **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it)
- **Honest Performance**: Results reflect true predictive power, not hindsight optimization
- **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart
The dashboard displays "✓ NO REPAINT" to confirm this guarantee.
---
## 📖 HOW TO USE THIS INDICATOR
### Basic Trading Strategy
**For Trend Followers:**
1. **Wait for Signal Confirmation**
- QBUY label appears below a bar = Confirmed bullish entry opportunity
- QSELL label appears above a bar = Confirmed bearish entry opportunity
2. **Check Confidence Score**
- 60-70%: Moderate confidence (consider smaller position size)
- 70-85%: High confidence (standard position size)
- 85-100%: Very high confidence (consider larger position size)
3. **Enter Trade**
- Long entry: Market or limit order near signal bar
- Short entry: Market or limit order near signal bar
4. **Set Targets Using Probability Zones**
- Long trades: Target the adjusted upper zone (lime line)
- Short trades: Target the adjusted lower zone (red line)
- Alternatively, target the basis line (yellow) for conservative exits
5. **Set Stop Loss**
- Long trades: Below recent swing low minus 1 ATR
- Short trades: Above recent swing high plus 1 ATR
**For Mean Reversion Traders:**
1. **Wait for Extreme Zones**
- Price touches extreme lower zone (dotted red line below)
- Price touches extreme upper zone (dotted lime line above)
2. **Confirm with Psychology**
- At lower extreme: Look for Panic or Despair state
- At upper extreme: Look for Euphoria or Greed state
3. **Wait for Confidence Build**
- Monitor dashboard until confidence exceeds threshold
- Requires patience - extreme touches don't always reverse immediately
4. **Enter Reversal**
- Target: Return to basis line (yellow SMA 20)
- Stop: Beyond the extreme zone
**For Position Traders (Longer Timeframes):**
1. **Use Daily Timeframe**
- Set chart to daily for longer-term signals
- Signals will be less frequent but higher quality
2. **Require High Confidence**
- Filter setting: Min Confidence Score 80%+
- Only take the strongest multi-dimensional setups
3. **Confirm with Resonance Background**
- Green tinted background = All timeframes bullish aligned
- Red tinted background = All timeframes bearish aligned
- Only enter when background tint matches signal direction
4. **Hold for Major Targets**
- Long trades: Hold until extreme upper zone or opposite signal
- Short trades: Hold until extreme lower zone or opposite signal
---
## 📊 DASHBOARD INTERPRETATION
The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions:
### Dashboard Elements:
1. **✓ NO REPAINT**
- Green confirmation that signals don't repaint
- Always visible to remind users of signal integrity
2. **SIGNAL: BULL/BEAR XX%**
- Shows dominant direction (whichever confidence is higher)
- Displays current confidence percentage
- Background color intensity reflects confidence level
3. **Psychology: **
- Current market emotional state
- Color coded:
- Orange = Euphoria (extreme bullish emotion)
- Yellow = Greed (moderate bullish emotion)
- Gray = Neutral (balanced state)
- Purple = Fear (uncertainty)
- Red = Panic (extreme bearish emotion)
- Dark red = Despair (capitulation)
4. **Resonance: **
- Multi-timeframe alignment strength
- Positive = All timeframes bullish aligned
- Negative = All timeframes bearish aligned
- Near zero = Timeframes not synchronized
- Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance)
5. **Intermarket: **
- Cross-asset pressure measurement
- Positive = BTC/DXY/VIX correlations supporting upside
- Negative = Correlations supporting downside
- Warning ⚠️ if correlation breakdown detected
6. **RSI: **
- Current RSI(14) reading
- Background colors: Red (>70 overbought), Green (<30 oversold)
- Status: OB (overbought), OS (oversold), or • (neutral)
7. **Status: READY BUY / READY SELL / WAIT**
- Quick trade readiness indicator
- READY BUY: Confidence ≥ threshold, bias bullish
- READY SELL: Confidence ≥ threshold, bias bearish
- WAIT: Confidence below threshold
### How to Use Dashboard:
**Before Entering a Trade:**
- Verify Status shows READY (not WAIT)
- Check that Resonance matches signal direction
- Confirm Psychology isn't contradicting (e.g., buying during Euphoria)
- Note Intermarket value - breakdowns (⚠️) suggest caution
**During a Trade:**
- Monitor Psychology shifts (e.g., from Fear to Greed in a long)
- Watch for Resonance changes that could signal exit
- Check for Intermarket breakdown warnings
---
## ⚙️ CUSTOMIZATION SETTINGS
### TFR Settings (Temporal Fractal Resonance)
- **Enable/Disable**: Turn TFR analysis on/off
- **Fractal Sensitivity** (5-50, default 14):
- Lower values = More responsive to short-term changes
- Higher values = More stable, slower to react
- Recommendation: 14 for balanced, 7 for scalping, 21 for position trading
### CAQE Settings (Cross-Asset Quantum Entanglement)
- **Enable/Disable**: Turn CAQE analysis on/off
- **Asset 1** (default BTC): Reference asset for correlation analysis
- **Asset 2** (default DXY): Second reference asset
- **Asset 3** (default VIX): Third reference asset
- **Correlation Length** (10-100, default 20):
- Lower values = More sensitive to recent correlation changes
- Higher values = More stable correlation measurements
- Recommendation: 20 for most assets, 50 for less volatile markets
### Psychology Settings (Adaptive Market Psychology Matrix)
- **Enable/Disable**: Turn AMPM analysis on/off
- **Volume Spike Threshold** (1.0-5.0x, default 2.0):
- Lower values = Detect smaller volume increases as spikes
- Higher values = Only flag major volume surges
- Recommendation: 2.0 for stocks, 1.5 for crypto
### Probability Settings (Time-Decay Probability Zones)
- **Enable/Disable**: Turn TDPZ visualization on/off
- **Probability Lookback** (20-200, default 50):
- Lower values = Zones adapt faster to recent price action
- Higher values = Zones based on longer statistical history
- Recommendation: 50 for most uses, 100 for position trading
### Filter Settings
- **Min Confidence Score** (40-95%, default 60%):
- Lower threshold = More signals, more false positives
- Higher threshold = Fewer signals, higher quality
- Recommendation: 60% for active trading, 75% for selective trading
### Visual Settings
- **Show Entry Signals**: Toggle QBUY/QSELL labels on chart
- **Show Probability Zones**: Toggle zone visualization
- **Show Psychology State**: Toggle dashboard display
---
## 🔔 ALERT CONFIGURATION
QMH includes four alert conditions that can be configured via TradingView's alert system:
### Available Alerts:
1. **Quantum Buy Signal**
- Fires when: Confirmed QBUY signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications
2. **Quantum Sell Signal**
- Fires when: Confirmed QSELL signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications or exit warnings
3. **Market Panic**
- Fires when: Psychology state reaches Panic
- Use for: Contrarian opportunity alerts
4. **Market Euphoria**
- Fires when: Psychology state reaches Euphoria
- Use for: Reversal warning alerts
### How to Set Alerts:
1. Right-click on chart → "Add Alert"
2. Condition: Select "Quantum Market Harmonics"
3. Choose alert type from dropdown
4. Configure expiration, frequency, and notification method
5. Create alert
**Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers.
---
## 💡 BEST PRACTICES
### For All Users:
1. **Backtest First**
- Test on your specific market and timeframe before live trading
- Different assets may perform better with different confidence thresholds
- Verify that the No Repaint guarantee works as described
2. **Paper Trade**
- Practice with signals on a demo account first
- Understand typical signal frequency for your timeframe
- Get comfortable with the dashboard interpretation
3. **Risk Management**
- Never risk more than 1-2% of capital per trade
- Use proper stop losses (not just mental stops)
- Position size based on confidence score (larger size at higher confidence)
4. **Consider Context**
- QMH signals work best in clear trends or at extremes
- During tight consolidation, false signals increase
- Major news events can invalidate technical signals
### Optimal Use Cases:
**QMH Works Best When:**
- ✅ Markets are trending (up or down)
- ✅ Volatility is normal to elevated
- ✅ Price reaches probability zone extremes
- ✅ Multiple timeframes align
- ✅ Clear inter-market relationships exist
**QMH Is Less Effective When:**
- ❌ Extremely low volatility (zones contract too much)
- ❌ Sideways choppy markets (conflicting timeframes)
- ❌ Flash crashes or news events (correlations break down)
- ❌ Very illiquid assets (irregular price action)
### Session Considerations:
- **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours)
- **Forex**: Best during London/New York overlap when volume is highest
- **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours)
---
## ⚠️ LIMITATIONS AND RISKS
### This Indicator Cannot:
- **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis
- **Guarantee Profits**: No indicator is 100% accurate; losses will occur
- **Replace Risk Management**: Always use stop losses and proper position sizing
- **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals
- **Work in All Market Conditions**: Less effective during extreme low volatility or major news events
### Known Limitations:
1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met
2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets
3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices
4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint
### Risk Warnings:
- Past performance doesn't guarantee future results
- Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays
- Different markets and timeframes may produce different results
- The indicator should be used as a tool, not as a standalone trading system
- Always combine with your own analysis, risk management, and trading plan
---
## 🎓 EDUCATIONAL CONCEPTS
This indicator synthesizes several established financial theories and technical analysis concepts:
### Academic Foundations:
1. **Fractal Market Hypothesis** (Edgar Peters)
- Markets exhibit self-similar patterns across time scales
- Implemented via multi-timeframe resonance analysis
2. **Behavioral Finance** (Kahneman & Tversky)
- Investor psychology drives market inefficiencies
- Implemented via market psychology state classification
3. **Intermarket Analysis** (John Murphy)
- Asset classes correlate and influence each other predictably
- Implemented via cross-asset correlation monitoring
4. **Mean Reversion** (Statistical Arbitrage)
- Prices tend to revert to statistical norms
- Implemented via probability zones and standard deviation bands
5. **Multi-Timeframe Analysis** (Technical Analysis Standard)
- Higher timeframe trends dominate lower timeframe noise
- Implemented via fractal resonance scoring
### Learning Resources:
To better understand the concepts behind QMH:
- Read "Intermarket Analysis" by John Murphy (for CAQE concepts)
- Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts)
- Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts)
- Learn about Bollinger Bands (for TDPZ foundation)
---
## 🔄 VERSION HISTORY AND UPDATES
**Current Version: 1.0**
This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include:
- Additional reference assets for CAQE
- Optional machine learning-based weight optimization
- Customizable psychology state definitions
- Alternative probability zone calculations
- Performance metrics tracking
Check the "Updates" tab on the script page for version history.
---
## 📞 SUPPORT AND FEEDBACK
### How to Get Help:
1. **Read This Description First**: Most questions are answered in the detailed sections above
2. **Check Comments**: Other users may have asked similar questions
3. **Post Comments**: For general questions visible to the community
4. **Use TradingView Messaging**: For private inquiries (if available)
### Providing Useful Feedback:
When reporting issues or suggesting improvements:
- Specify your asset, timeframe, and settings
- Include a screenshot if relevant
- Describe expected vs. actual behavior
- Check if issue persists with default settings
### Continuous Improvement:
This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome.
---
## ⚖️ DISCLAIMER
This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**.
**Important Disclaimers:**
- You should **not** rely solely on this indicator to make trading decisions
- Always conduct your own research and due diligence
- Past performance is not indicative of future results
- Trading and investing involve substantial risk of loss
- Only trade with capital you can afford to lose
- Consider consulting with a licensed financial advisor before trading
- The author is not responsible for any trading losses incurred using this indicator
**By using this indicator, you acknowledge:**
- You understand the risks of trading
- You take full responsibility for your trading decisions
- You will use proper risk management techniques
- You will not hold the author liable for any losses
---
## 🙏 ACKNOWLEDGMENTS
This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from:
- The Pine Script community on TradingView
- Academic research in behavioral finance and market microstructure
- Classical technical analysis methods developed over decades
- Open-source indicators that demonstrate best practices in Pine Script coding
Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible.
---
## 📚 ADDITIONAL RESOURCES
**Pine Script Documentation:**
- Official Pine Script Manual: www.tradingview.com
**Related Concepts to Study:**
- Multi-timeframe analysis techniques
- Correlation analysis in financial markets
- Behavioral finance principles
- Mean reversion strategies
- Bollinger Bands methodology
**Recommended TradingView Tools:**
- Strategy Tester: To backtest signal performance
- Bar Replay: To see how signals develop in real-time
- Alert System: To receive notifications of new signals
---
**Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
Trading Toolkit - Comprehensive AnalysisTrading Toolkit – Comprehensive Analysis
A unified trading analysis toolkit with four sections:
📊 Company Info
Fundamentals, market cap, sector, and earnings countdown.
📅 Performance
Date‑range analysis with key metrics.
🎯 Market Sentiment
CNN‑style Fear & Greed Index (7 components) + 150‑SMA positioning.
🛡️ Risk Levels
ATR/MAD‑based stop‑loss and take‑profit calculations.
Key Features
CNN‑style Fear & Greed approximation using:
Momentum: S&P 500 vs 125‑DMA
Price Strength: NYSE 52‑week highs vs lows
Market Breadth: McClellan Volume Summation (Up/Down volume)
Put/Call Ratio: 5‑day average (inverted)
Volatility: VIX vs 50‑DMA (inverted)
Safe‑Haven Demand: 20‑day SPY–IEF return spread
Junk‑Bond Demand: HY vs IG credit spread (inverted)
Normalization: z‑score → percentile (0–100) with ±3 clipping.
CNN‑aligned thresholds:
Extreme Fear: 0–24 | Fear: 25–44 | Neutral: 45–54 | Greed: 55–74 | Extreme Greed: 75+.
Risk tools: ATR & MAD volatility measures with configurable multipliers.
Flexible layout: vertical or side‑by‑side columns.
Data Sources
S&P 500: CBOE:SPX or AMEX:SPY
NYSE: INDEX:HIGN, INDEX:LOWN, USI:UVOL, USI:DVOL
Options: USI:PCC (Total PCR), fallback INDEX:CPCS (Equity PCR)
Volatility: CBOE:VIX
Treasuries: NASDAQ:IEF
Credit Spreads: FRED:BAMLH0A0HYM2, FRED:BAMLC0A0CM
Risk Management
ATR risk bands: 🟢 ≤3%, 🟡 3–6%, ⚪ 6–10%, 🟠 10–15%, 🔴 >15%
MAD‑based stop‑loss and take‑profit calculations.
Author: Daniel Dahan
(AI Generated, Merged & enhanced version with CNN‑style Fear & Greed)






















