market-breadth-analyzer

You measure market breadth by analyzing participation rates and advance-decline health across stocks. This Skill calculates a 0-100 composite breadth score from a 6-component system to determine if a rally is broad-based or narrow.

A market breadth score quantifies overall stock market health on a 0-100 scale. It breaks down trend, momentum, cycle, signal, percentile, and divergence metrics to provide a data-driven assessment of market participation sustainability.

You can calculate advance-decline health without an API key by processing publicly available CSV data. This Skill uses Python scripts with pandas and numpy to fetch and calculate breadth indicators without requiring external API authentication.

Yes, you can analyze market participation rate using Python and pandas. The Skill leverages pandas, numpy, and scipy to process CSV data and compute a composite breadth score reflecting overall market participation.

The best way to assess market divergence and momentum is through a multi-component scoring system. This Skill evaluates six distinct metrics including momentum and divergence to produce a comprehensive 0-100 breadth score for equity investors.

Using CSV data for market breadth indicators limits you to publicly available datasets and requires Python dependencies like pandas and scipy. It does not require API keys but relies on the accuracy and update frequency of the public CSV sources.