#21 · Primary category: Financial Data & Analytics Platforms
UZI-Skill
UZI Skills: 66 investment gurus, 22-dimensional data, 180 quantitative rules, 17 institutional analysis methods for A-shares, Hong Kong, and US stocks.
Project last updated:08/27/26
GitHub Stars
6.6K
Forks
935
Contributors
6
License
MIT
Why we included this project
This one is aimed at investors who trade A-shares, Hong Kong, or US-listed names and already work inside an AI coding agent. You install it as a skill into Claude Code, Codex, Cursor, or Gemini CLI, then type a plain command and get a structured deep dive on a single ticker. It combines 22 data dimensions with a large set of quantitative screening rules and runs the stock past a panel of 66 investor personas with deliberately different styles, so the report reads like a structured debate rather than one model's confident guess. There are also institutional-style checks on board, including DCF, comps, LBO, earnings previews, and hot-money trap detection. For traders who want reproducible, locally run research without extra API keys, this is a solid alternative to a hosted chat answer.
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