HHFinAi

Institutional-quality earnings analysis for public equities. Parses 10-Qs, earnings releases, and call transcripts into a 4-layer framework (Parse → Compare → Diagnose → Decide), runs a mechanical scoring engine that produces a composite verdict across beat quality, operational health, and management signals, and outputs a one-page earnings sheet, full memo (Word doc), risk map, or trade note. Use when asked to analyse earnings, review quarterly results, parse a 10-Q, summarise an earnings call, assess earnings quality, evaluate beat/miss dynamics, diagnose guidance changes, or produce a post-print memo. Triggers include "what did [company] report", "how were earnings", "earnings surprise", "quarter review", "results analysis", "post-print analysis". Do NOT use for DCF models, long-term thesis work, technical analysis, or metals analysis — use the dedicated skills for those.