market-breadth-analyzer

You can quantify market breadth health by fetching public CSV data to generate a 0-100 composite score. The script evaluates breadth level, MA crossovers, cycle position, bearish signals, historical percentile, and divergence to produce actionable exposure guidance.

Market breadth divergence occurs when price movements lack broad participation across stocks. The analyzer detects this by evaluating six dimensions of public CSV market data, flagging divergence to help forecast whether a rally is broad-based or weakening.

No API key is required to analyze market breadth with this Python script. It directly fetches public TraderMonty CSV URLs using the requests library, performing data freshness checks before generating JSON and Markdown reports.

Yes, you can run the Python script on market data CSVs to generate equity exposure guidance. It translates a 0-100 breadth health composite score into actionable steps and provides a historical score trend for risk management.

Assess breadth participation by running the analyzer on TraderMonty CSV market data to produce a composite score. It checks data freshness and scores components like MA crossovers and historical percentiles to guide your risk management exposure.

Market breadth analysis using public CSV data requires Python 3.8+ and the requests library to access specific public URLs. If the CSV URLs are inaccessible or data is stale, freshness checks will prevent accurate composite score generation.