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韭菜盘 (JCP AI) - AI 驱动的智能A股分析系统，基于 Wails + Go + React，支持多 Agent 协作分析

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100% credibility
Found Feb 05, 2026 at 82 stars 10x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

韭菜盘 is a desktop app for monitoring Chinese stocks with live charts, order books, news, and AI expert discussions for analysis.

How It Works

1
🚀 Launch 韭菜盘

Open the sleek desktop app and land on a welcoming screen that invites you to explore stocks.

2
🔍 Add your stocks

Search for any Chinese stock by name or code and add it to your personal watchlist with one tap.

3
📊 See live market views

Watch real-time charts, order books, prices, and news flow in beautifully on your selected stocks.

4
💬 Ask AI experts anything

Pick a stock, type your question, and tag specific experts or let the smart host choose the best team.

5
🧑‍🤝‍🧑 Experts debate and analyze

Sit back as colorful AI specialists like analysts and traders discuss, share data, and respond live.

✅ Unlock smart insights

Get a clear summary of expert opinions, trends, and advice to guide your stock decisions confidently.

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AI-Generated Review

What is jcp?

Jcp is a desktop app for real-time A-share stock analysis, pulling live data like K-lines, order books, and dragon-tiger lists into interactive charts and panels. It solves the pain of fragmented trading tools by layering AI agents—think bull, bear, quant experts—that collaborate in a chat room to debate stocks based on your queries, news, and trends from Weibo or Bilibili. Built in Go with Wails for the backend and React frontend, it delivers a native-feeling app with auto-updates and proxy support for jcpd workflows.

Why is it gaining traction?

Unlike basic charting apps, jcp hooks you with multi-agent AI debates where you @ experts for targeted analysis or let a moderator orchestrate full discussions, complete with memory for context. Real-time pushes for watchlists, hot trends across platforms, and position tracking make it feel alive, standing out from static tools like jcpenney online dashboards or jlcpcb trackers. At 580 stars, devs dig the agent collaboration in Go+Wails, blending trading utility with hackable AI.

Who should use this?

Retail A-share traders monitoring positions and dragon-tiger lists will love the AI-driven insights without switching apps. Quant hobbyists or jcpoa/jcpt analysts testing agent prompts on live data fit perfectly, as do Go devs prototyping Wails desktops for financial tools. Skip if you're not into Chinese markets or need enterprise compliance.

Verdict

Solid for A-share AI experimentation—grab it if multi-agent trading chat excites you—but the 1.0% credibility score flags low maturity with sparse docs and no visible tests. With 580 stars, it's promising but test thoroughly before relying on it daily.

(198 words)

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