market-breadth-analyzer

Market breadth analysis classifies assets into trending up, trending down, and ranging groups to provide a snapshot of overall market health. It uses EMA50 and ADX-based thresholds on price data to assess momentum and risk bias across multi-asset watchlists.

To calculate market breadth for a watchlist, run the analyzer on a dictionary of symbol dataframes containing high, low, and close prices. The tool computes EMA50, plus_dm, minus_dm, ATR, and ADX thresholds to assign trending or ranging categories and return a summary breadth score.

Yes, market breadth analysis requires price data for each symbol including high, low, and close values. These inputs are necessary for the tool to compute EMA50, plus_dm, minus_dm, ATR, and ADX-based thresholds to classify the market mode.

Yes, breadth divergence detects bullish or bearish setups by comparing breadth metrics against price action. This divergence analysis helps identify potential reversals or risk posture shifts relative to the overall trending and ranging asset classifications.

The best way to gauge momentum and risk bias across sectors is applying breadth scoring to multi-asset time-series data. This method separates trending up, trending down, and ranging groups while outputting a summary breadth score and market mode to guide strategies.