wbh604

wbh604 / UZI-Skill

Public

冰冷的钱就这样流进我的口袋-游资（UZI）Skills — 51位投资大佬帮你看盘 · 22维数据 × 180条量化规则 × 17种机构分析方法 · A股/港股/美股

367
71
100% credibility
Found Apr 17, 2026 at 367 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A free open-source tool that analyzes global stocks by fetching public data, simulating 51 investor opinions, and generating interactive HTML reports with charts and summaries.

How It Works

1
🔍 Discover the Stock Analyzer

You hear about a free tool that turns any stock ticker into a professional report, like having 51 expert investors review it for you.

2
📥 Set It Up Easily

Download and prepare it with simple steps, no complicated setup needed – everything installs automatically.

3
💬 Tell It a Stock

Type in a stock name or code like 'Apple' or '贵州茅台', and hit go.

4
⚡ Watch the Magic Happen

It gathers market data, runs smart checks, and simulates opinions from 51 legendary investors – all in 5-8 minutes.

5
📊 Get Your Full Report

Open a beautiful, self-contained webpage with charts, scores, investor verdicts, and shareable cards.

🎉 Make Smarter Decisions

Share the insights with friends, track your picks confidently, and never miss key stock details again.

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Star Growth

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AI-Generated Review

What is UZI-Skill?

UZI-Skill is a Python-based stock analysis tool that turns a ticker like AAPL or 002273.SZ into a self-contained HTML report packed with 22 data dimensions, 180 quant rules from 51 simulated investors (Buffett to A-share day traders), and 17 institutional methods like DCF, comps, and LBO models. Run it via CLI (`python run.py AAPL`) or Claude Code plugin (`/analyze-stock AAPL`), and after 5-8 minutes you get an offline Bloomberg-style report, social share cards, and a one-liner verdict—all from free data sources, no API keys needed. It covers A-shares, HK, and US stocks with uzi skills tailored for hot money plays.

Why is it gaining traction?

Unlike generic GPT stock chatbots or pricey terminals, UZI-Skill delivers structured, auditable outputs like jury scorecards, DCF heatmaps, and catalyst calendars using only open APIs like akshare and yfinance. The 51-investor "jury" (classic value to uzi doorman skills) creates engaging bull/bear debates, while zero-setup CLI and shareable cards hook retail traders sharing on WeChat or Twitter. At 367 stars, it's niche but spreads via Python devs tweaking the rules.

Who should use this?

Retail traders screening A-shares for uzi skills or cross-market ideas, quant hobbyists backtesting investor personas, or finance students needing quick DCF/comps without Excel. Ideal for non-pros who want deep dives on peers, moats, and traps but skip paid tools.

Verdict

Promising Python skill for free stock deep dives, but 1.0% credibility score reflects early maturity—367 stars, solid README, but light tests and A-share focus limit polish. Try for personal use; fork if you need production reliability.

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