🧠 Start from a portfolio holding → let a nine-agent TradingAgents research team analyze it → follow the bull/bear debate and risk review → receive a PM decision memo and the complete reasoning trail in your messaging app within 3–5 minutes.
| Logo | Introduction |
|---|
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📸 Feature Overview
The screenshots below use the English interface; Simplified Chinese is available throughout the same product surfaces.
| Portfolio · Multi-account overview | Opportunities · AI-scored ideas |
|---|
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| Paper trading · Equity curve and performance | Deep stock analysis |
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| Technical confluence · MACD/RSI/KDJ at a glance | Price alerts · Combined conditions |
| |
📱 PanWatch is an installable PWA and can be added to your mobile home screen like a native app.
💡 If PanWatch is useful to you, please consider giving the project a ⭐ Star. It is the best way to support the project and help more people discover it.
Core Features
| Capability | What you can do |
|---|
| Portfolio | Manage multiple brokerage accounts, track holdings and P&L, and set trading styles. |
| AI research | Follow technical, sentiment, news, and fundamentals analysis through debate, risk review, and a portfolio-manager decision. |
| Scheduled agents | Run pre-market, intraday, and closing workflows on eligible exchange trading days using your configured schedules. |
| Price alerts | Combine conditions with AND/OR logic and configure cooldowns, daily limits, expiration, and notification channels. |
| Opportunities | Review ranked candidates with entry levels, targets, and risk context. |
| Paper trading | Simulate signal-based entries and exits, then track equity and performance. |
| Notifications | Deliver reports and alerts through Telegram, WeCom, DingTalk, Feishu, Bark, or webhooks. |
| Mobile | Install the PWA on your home screen and use the same workspace on your phone. |
Stock and listed ETF search, watchlists, holdings, price alerts, quotes and candlesticks share the same workflow across mainland China, Hong Kong and US markets. Search by code or name (for example, 510300, 159915, 02800 or SPY). The asset type is saved with each instrument; select ETF for funds whose provider name does not identify them as ETFs.
ETF deep analysis uses fund-specific context and does not substitute company financial statements. Fund holdings, NAV, fees and tracking error are not yet supplied as structured data. Paper trading continues to use its existing market rules and cost model; ETF-specific T+0 exceptions and fee schedules are not modeled.
Quick Start
docker run -d \
--name panwatch \
--restart unless-stopped \
-e TZ=Asia/Shanghai \
-p 8000:8000 \
-v panwatch_data:/app/data \
sunxiao0721/panwatch:latest
Open http://localhost:8000 and create your login credentials.
Set TZ explicitly for background schedules and notification quiet hours, for example
-e TZ=UTC or -e TZ=America/New_York. The image defaults to Asia/Shanghai and does
not detect the host timezone. Interface timestamps and alert expiry inputs use the
browser timezone. Timezone policy
- Open the web interface and create your login credentials.
- The main tour opens on first sign-in and follows stocks, quotes, AI setup and a first analysis. Required steps cannot be skipped; you can pause and resume. Reopen it from the Guide center, which also offers opportunities, paper trading, assistant, daily tasks and data sources, each with saved progress and replay. Click highlighted controls directly. The main tour verifies saved actions or successful checks; exploration routes record instructions you acknowledge.
- In the main tour, configure a service in Settings → AI Services, set the default model, and test the connection before explicitly generating your first analysis. This action uses your model quota; its result stays on the page.
- Optionally create a price alert and test a notification channel. You can defer or resume the guide; progress survives browser changes and service restarts. A changed model or channel configuration needs a new successful test.
- Enable scheduled agents or explore TradingAgents after the basics work. These are configured separately from the first analysis.
services:
panwatch:
image: sunxiao0721/panwatch:latest
container_name: panwatch
environment:
TZ: "Asia/Shanghai"
ports:
- "8000:8000"
volumes:
- panwatch_data:/app/data
restart: unless-stopped
volumes:
panwatch_data:
docker compose up -d
This is the beginning of the README. Read the rest at the original. Read the full README ↗
