Advanced Market Analysis Methodology
Sophisticated framework analyzing 50+ indicators across 12 timeframes with real-time processing, automated edge functions, and comprehensive historical data analysis for S&P 500 sentiment and breadth insights.
Data Sources
50+ indicators across 8 categories: Sentiment, Breadth, VIX, Technical, Sectors, Earnings, International, Commodities, Bonds, Currency, Valuation, and Margins from real-time exchange feeds.
Calculations
12 timeframes with dynamic calculations: latest values, averages, trends, and statistical analysis across current readings and historical datasets.
Real-time Updates
Real-time updates every 15 minutes during market hours with automated edge functions, market hours intelligence, and Supabase realtime subscriptions.
12 Supported Timeframes
Calculation Methods
- Latest: Most recent value for current timeframes
- Average: Statistical mean across the timeframe period
- Trend: Directional analysis and momentum calculations
- Fallback: Current readings when historical data unavailable
Data Sources by Timeframe
- • Today/Current: current_readings table for real-time data
- • Historical (Yesterday+): historical_market_data and time_series tables
- • Dynamic Date Ranges: Automatic calculation of start dates based on timeframe
- • Quality Assurance: Fallback to current data when historical unavailable
Primary Components
- VIXVolatility Index (40% weighting) - Market fear gauge based on S&P 500 options
- P/CPut/Call Ratio (30% weighting) - Options sentiment indicator
- BreadthMarket Breadth (30% weighting) - Advance/decline and moving average analysis
Calculation Process
- Normalize each component using 52-week rolling statistics
- Apply volatility-adjusted weighting factors
- Combine using proprietary composite scoring algorithm
- Scale final score to 0-100 range (0=Extreme Fear, 100=Extreme Greed)
Interpretation Guidelines
Extreme Fear
Fear
Neutral
Greed
Our methodology is continuously refined based on market evolution and academic research. Last updated: 9/1/2025