TNT-Likely / PanWatch

Self-hosted AI stock monitoring that turns your portfolio into an always-on multi-agent research desk with real-time alerts across A-shares, HK, and US markets.

活跃维护 MIT Python Tracked
2.2k 409 2 天前
CIDockerPyPI
ai llm openai pwa self-hosted stock stock-analysis stock-market a-share agent ai-agent akshare deepseek fastapi fintech quant trading-agents trading-bot langgraph mcp

星标趋势

数据积累中,暂无足够数据生成趋势图

AI 分析

项目摘要

PanWatch is a self-hosted AI stock monitoring application that provides portfolio insights, real-time alerts, and automated research reports for China A-shares, Hong Kong, and US markets. Powered by the TradingAgents multi-agent framework, it orchestrates specialist analysis agents, bull/bear debates, and risk reviews to deliver actionable investment intelligence through multiple messaging channels.

为什么值得关注

PanWatch stands out by combining sophisticated multi-agent AI research (TradingAgents) with practical self-hosted stock monitoring across three major markets, offering privacy-focused portfolio analysis with multi-channel alerting via Telegram, WeCom, DingTalk, and Feishu. Its rapid release cadence (31 releases in 6 months) and bilingual support demonstrate strong product-market fit for Chinese and international investors.

优势

  • Multi-market coverage (A-shares, HK, US) with localized data sources (akshare)
  • Self-hosted privacy-first design keeping portfolio data under user control
  • Multi-channel alerting (Telegram, WeCom, DingTalk, Feishu, Bark, webhooks)
  • Powered by sophisticated TradingAgents multi-agent research framework
  • Model-agnostic with OpenAI-compatible API support (DeepSeek, etc.)
  • Active development with 31 releases in 6 months and Docker/PWA support

局限性

  • Only 3 contributors creating bus factor risk
  • Relatively new project (created January 2026) with limited track record
  • No examples directory for onboarding new users
  • Requires self-hosting infrastructure and API key management

使用场景

  • Individual investors automating portfolio monitoring and research
  • Quantitative traders generating AI-powered technical and fundamental analysis
  • Investment teams distributing automated research reports via messaging apps
  • Chinese market investors needing local data integration with global market coverage
目标用户: Individual investors, quantitative traders, and fintech developers who want AI-powered stock monitoring with privacy/self-hosting and multi-channel alerting
学习曲线: 中
分析模型:LongCat-2.0 | 分析时间:27 天前