About TrendNalysis

Proprietary Technical Analysis & Market Intelligence

Our Proprietary Methods

TrendNalysis combines multiple analytical engines into a unified market intelligence platform. Our approach links technical indicators, macroeconomic data, and pattern recognition through proprietary formulas designed to surface actionable signals.

Rather than relying on any single metric, our models cross-reference signals across different data sources — connecting chart patterns with economic conditions, correlating momentum indicators with volume dynamics, and weighting each signal based on its historical reliability.

Multi-Scanner Architecture

Multiple independent scanners analyze the market simultaneously — technical patterns, momentum signals, support/resistance levels, and macroeconomic indicators. Each scanner feeds into a unified scoring engine.

🔗 Cross-Metric Correlation

Our models link indicators that are typically analyzed in isolation. By connecting yield curve movements with equity momentum, or labor data with consumer sector performance, we identify signals others miss.

📐 Statistical & Mathematical Formulas

Proprietary weighting systems, composite scoring models, and statistical thresholds power our analysis. Our recession risk model uses weighted multi-factor scoring calibrated against historical economic cycles.

⚡ Real-Time Data Processing

Live market data feeds through our technical analysis engine with automatic pattern detection, dynamic support/resistance calculation, and continuous signal updates across multiple timeframes.

🎯 Pattern Recognition Engine

Automated detection of chart patterns including double tops/bottoms, head & shoulders, wedges, flags, and divergences — with multi-window swing analysis for precise support and resistance levels.

🏛️ FRED Economics Integration

Federal Reserve economic data powers our recession risk dashboard. Our proprietary composite score aggregates yield curves, labor metrics, industrial output, and credit spreads into a single risk assessment.

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