TNT-Likely/PanWatch
盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送
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README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
自托管 AI 盯盘助手 · 集成 TradingAgents 多 Agent 投资决策 — A 股 / 港股 / 美股实时监控、持仓管理、智能分析、全渠道推送 [](https://github.com/TNT-Likely/PanWatch/stargazers) [](https://hub.docker.com/r/sunxiao0721/panwatch) [](LICENSE) [](https://github.com/TNT-Likely/PanWatch/commits/main) [](https://github.com/TNT-Likely/PanWatch) 移动端截图 接入 TradingAgents（76k+ star）多 Agent 投资决策框架，在持仓页点 🧠 图标即可触发： 智能 Agent 系统 专业技术分析 多市场 & 多账户 全渠道通知 Telegram / 企业微信 / 钉钉 / 飞书 / Bark / 自定义 Webhook 价格提醒 访问 http://localhost:8000，首次使用设置账号密码即可。 说明：镜像内已包含 Playwright 运行所需的系统依赖；Chromium 浏览器会在容器首次启动时自动下载并安装到挂载卷（默认 /app/data/playwright），首次启动可能需要几分钟且需要网络可达。 如果不需要截图等浏览器能力，可以在启动容器时设置 PLAYWRIGHTSKIPBROWSERINSTALL=1 跳过首次 Chromium 下载/安装。 Docker Compose 环境变量 首次配置 本地开发 环境要求：Python 3.10+ / Node.js 18+ / pnpm 前端 dev server 跑在 http://localhost:5183，并把 /api 代理到 127.0.0.1:8000。 前端用 :5183 而非默认 :5173，是为了和 BeeCount-Cloud 等本地常驻前端错开。 技术栈 后端：FastAPI / SQLAlchemy / APScheduler / OpenAI SDK 前端：React 18 / TypeScript…
Read the full README ↗ · Preview checked 2026-09-23T13:41:26.497Z
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What this repository does
盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送
Repository facts
- Owner
- TNT-Likely
- Primary language
- Python
- Stars
- 1,364
- Forks
- 287
- Open issues + pull requests
- 63
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-01-23T13:34:00.000Z
- Last push
- 2026-09-21T03:59:53.000Z
Topics and intended use
Owner-supplied topics: a-share, agent, ai, ai-agent, akshare, deepseek, fastapi, fintech, langgraph, llm, mcp, openai, pwa, quant, self-hosted, stock, stock-analysis, stock-market, trading-agents, trading-bot
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-09-23T12:02:25.677Z. Daily imports are snapshots, not real-time monitoring.
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