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PanWatch is an open-source, self-hosted AI market-watching assistant that integrates multi-agent investment analysis to monitor equities across A-shares, Hong Kong, and US markets with automated notifications.

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PanWatch is an open-source, self-hosted AI market-watching assistant that integrates multi-agent investment analysis to monitor equities across A-shares, Hong Kong, and US markets with automated notifications.
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// 1h agoOPENSOURCE RELEASE

PanWatch is an open-source, self-hosted AI market-watching assistant that integrates multi-agent investment analysis to monitor equities across A-shares, Hong Kong, and US markets with automated notifications.

PanWatch (盯盘侠) is an open-source, self-hosted AI financial monitoring and portfolio management platform tailored for global stock markets, including A-shares, Hong Kong stocks, and US equities. By incorporating the TradingAgents multi-agent framework, PanWatch deploys a coordinated pipeline of nine specialized agents—covering technical, fundamental, news, and sentiment analysis, adversarial bull-vs-bear debate, risk inspection, and portfolio manager decision synthesis—to produce complete investment memos in minutes. Delivered as an easy-to-run Docker container with PWA support, the tool aggregates multi-broker portfolios, evaluates technical indicator resonance (MACD, RSI, KDJ), tracks paper trading performance, and pushes actionable pre-market, intraday, and post-market alerts directly across messaging platforms like Telegram, Enterprise WeChat, DingTalk, and Feishu.

// ANALYSIS

Self-hosted multi-agent architectures represent the practical future of personal financial tooling, transforming slow, reasoning-intensive LLMs into asynchronous decision-support engines while guaranteeing portfolio privacy.

  • Complete Data Sovereignty: Because investment portfolios and brokerage activity are highly sensitive, local and self-hosted deployment avoids routing private asset holdings through centralized third-party SaaS vendors.
  • Collaborative Multi-Agent Synthesis: Incorporating the TradingAgents framework moves beyond simple single-prompt LLM predictions by staging structured debates between bullish and bearish agents before risk-auditing the conclusions.
  • Low-Cost Quantitative Insight: By leveraging efficient LLMs like DeepSeek, deep reasoning and multi-analyst consensus can be executed on demand for roughly $0.05 per analysis session.
  • Seamless Advisory Integration: Bridges quantitative technical triggers (e.g., volume surges, indicator crossovers) with real-world push notification channels (Telegram, DingTalk, Feishu, Webhooks).
  • Advisory Only: Operates purely as an analytical and alerting companion rather than an automated trade execution platform, leaving order placement and execution risk entirely in the user's hands.
// TAGS
ai-agentsfinancial-analysismulti-agent-systemsopen-sourceself-hostedtradingstock-marketdeepseekpython

DISCOVERED

1h ago

2026-09-23

PUBLISHED

1h ago

2026-09-23

RELEVANCE

8/ 10