EquityScore

BETA

Most advanced quant-first, AI-last analysis

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Methodology

EquityScore uses a quant-first pipeline: data quality checks, scoring layers, and policy-driven summarization.

1. We ingest market and fundamentals data, then normalize symbols and freshness windows.

2. We compute score components and grade outcomes from predefined rules and threshold bands.

3. We generate cohorts (sector/watchlist/portfolio) for comparative analytics and decision context.

4. We surface alerts and summaries only after policy checks and confidence filters.

This launch version is optimized for clarity and reliability over UI polish.