market-breadth-analyzer

You can quantify market breadth health using a 6-component scoring system that evaluates market participation, trend levels, cycle position, bearish signals, historical percentile, and S&P 500 divergence to produce a 0-100 score.

A market breadth analysis scoring system measures overall market health by evaluating advance-decline health, rally breadth, and divergence against the S&P 500 to provide a comprehensive 0-100 health score.

Yes, you need Python 3.8 or higher and the requests library to fetch market breadth CSV data from GitHub Pages for the analysis scoring system to function properly.

S&P 500 and market breadth divergence is detected through one of the six scoring components, which specifically compares index price movements against broader market participation rates to identify hidden weakness or strength.

You should check market breadth health before trading to understand market participation rates, assess advance-decline health, and identify potential bearish signals or cycle positions that may impact your investment decisions.

A 6-component market breadth score relies on fetching CSV data from GitHub Pages using Python and requests, meaning it requires an active internet connection and is limited to the data formats provided by that source.