# oficcejo/aiagents-stock

复合多AI智能体股票团队分析盯盘系统，基于多个ai智能体，模拟证券分析师团队分析过程，提供全方位的股票投资分析和决策建议，新增游资龙虎榜跟踪分析、板块预警轮动分析，支持批量多线程分析，支持实时监测关键点位，发送警报信息，预留miniqmt接口，支持量化交易，真正做到了ai帮你来炒股，适合大陆A股。下方测试网站请填入deepseek临时key，测试完请删除，否则有泄露风险。注：测试云服务访问过多，数据源有可能会拒绝，如需使用，请部署本地。

Repository: https://github.com/oficcejo/aiagents-stock
Canonical: https://ross.abutalabs.com/products/aiagents-stock
Language: Python
License Family: other
Last push: 2026-07-27T03:40:35+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 18, longevity 23
- inputs: {"age_days": 334, "days_push": 37, "days_rel": 334, "gap_med": null, "n_releases_24m": 1}
- 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 1876, forks 555 (observed 2026-08-28T04:05:47.609447+00:00)

## What it is
A Python multi-AI-agent stock analysis and monitoring system for mainland China A-shares, simulating a team of securities analysts to produce investment analysis and decision suggestions. It adds hot-money dragon-tiger list tracking, sector rotation alerts, batch multithreaded analysis, real-time key price-level monitoring with alert notifications, and a reserved miniQMT interface for quantitative trading.

## Use cases
- analyze A-share stocks with a simulated AI analyst team
- track dragon-tiger list hot money flows
- monitor sector rotation and get early warnings
- batch analyze many stocks with multithreading
- get alerts when stocks hit key price levels
- connect to miniQMT for automated quantitative trading
- screen stocks using iwencai queries

## When to choose
- you trade mainland China A-shares and want AI-assisted analysis
- you want a self-hosted multi-agent stock monitoring and alerting system
- you want to experiment with LLM-driven trading workflows with miniQMT integration

## When to avoid
- you need analysis of non-Chinese markets
- you require a commercially licensed product (no license is provided)
- you expect guaranteed profitable trading advice

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, machine-learning, data-science, analytics, monitoring, alerting, web-scraping, trading, chatbot
- domain: fintech, artificial-intelligence, large-language-models, analytics, data-science
- platform: python, self-hosted, cross-platform
- tags: stock-analysis, a-shares, multi-agent, tradingagents, quantitative-trading, miniqmt, deepseek, tushare, akshare, dragon-tiger-list, sector-rotation, real-time-monitoring, playwright, chinese-stock-market, ai-agents, automation, docker

## Member repositories
- oficcejo/aiagents-stock (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:47.609447+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 2026-08-30T03:14:44.651262+00:00, confidence not recorded.
  - readme: https://github.com/oficcejo/aiagents-stock (fetched 2026-08-28T04:05:47.609447+00:00, sha ef8e6768cbad)
- Data as of 2026-08-30T08:39:29.467469+00:00.