# run-bigpig/jcp

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

Repository: https://github.com/run-bigpig/jcp
Canonical: https://ross.abutalabs.com/products/jcp
Language: Go
License: NOASSERTION
License Family: other
Last push: 2026-04-09T06:35:29+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 76, release rhythm 78, longevity 15
- inputs: {"age_days": 210, "days_push": 146, "days_rel": 146, "gap_med": 1.0, "n_releases_24m": 13}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1310, forks 286 (observed 2026-08-28T04:04:19.860367+00:00)

## What it is
JCP (韭菜盘) is a cross-platform desktop application built with Wails, Go, and React that provides AI-driven analysis of Chinese A-share stocks. It orchestrates multiple AI agents (via OpenAI-compatible APIs like OpenAI, Gemini, DeepSeek, Kimi, GLM) to collaboratively discuss stocks, with real-time quotes, K-line charts, market sentiment aggregation, and a per-stock long-term memory system.

## Use cases
- analyze Chinese A-share stocks with multiple AI agents
- get AI-powered investment suggestions for stocks
- view real-time stock quotes and K-line charts
- track market hot topics and sentiment from Baidu, Douyin, Bilibili
- run multi-agent discussions about a specific stock
- manage trading strategies with configurable AI agent teams
- query and analyze professional research reports
- remember past AI analysis conclusions per stock

## When to choose
- you want a desktop AI assistant for Chinese A-share stock analysis
- you need multi-agent collaboration with different LLM providers
- you want real-time quotes, K-line charts, and AI discussion in one app
- you prefer a self-hosted tool where you supply your own API keys

## When to avoid
- you need analysis of non-Chinese markets like US or Hong Kong stocks
- you want a web-based or mobile solution rather than a desktop app
- you expect the software to guarantee profitable trading decisions
- you need a fully managed service without configuring your own AI API keys

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, agent-framework, chatbot, data-visualization, mcp, prompt-engineering, rag
- domain: fintech, artificial-intelligence, large-language-models, desktop-applications, cross-platform
- platform: windows, go
- tags: wails, stock-analysis, a-shares, multi-agent, ai-stock-analysis, kline-charts, trading, desktop-app, chinese-stock-market, sentiment-analysis, ai-agents, macos, linux, desktop, react

## Member repositories
- run-bigpig/jcp (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:19.860367+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:49:56.226871+00:00, confidence not recorded.
  - readme: https://github.com/run-bigpig/jcp (fetched 2026-08-28T04:04:19.860367+00:00, sha f688da1c203e)
- Data as of 2026-08-30T08:39:29.467469+00:00.