PanWatch

Product Introduction

1. Definition: PanWatch is a self-hosted, AI-powered stock market monitoring and investment decision support system. Technically, it is a full-stack web application that integrates a multi-agent AI framework (TradingAgents) with real-time data pipelines, automated alerting, and portfolio management tools.
2. Core Value Proposition: It exists to automate and intellectualize the tedious, manual process of monitoring multiple stock markets (A-share, Hong Kong, US stocks). Its primary value is providing data-privacy-focused, AI-native investment surveillance that delivers actionable insights and automated alerts directly to investors, eliminating the need for constant manual screen-watching.

Main Features

1. TradingAgents Multi-Agent Decision Engine: This is the core AI brain. It orchestrates a team of 9 specialized AI agents (e.g., Technical Analyst, Sentiment Analyst, News Analyst, Fundamental Analyst) in a structured workflow. When triggered, these agents conduct parallel research, engage in a "bull vs. bear" debate, undergo risk control review, and finally produce a consolidated Portfolio Manager (PM) decision report. This entire reasoning chain is completed in 3-5 minutes and pushed to configured messaging channels.
2. Unified Multi-Market & Multi-Account Portfolio Dashboard: The platform aggregates holdings from multiple brokerage accounts across A-share, Hong Kong, and US markets into a single dashboard view. It supports defining different trading styles (short-term, swing, long-term) per account, allowing the AI to provide more tailored, style-aware suggestions and analysis.
3. Advanced, Configurable Price Alerting System: Beyond simple price thresholds, PanWatch supports complex, conditional alert rules. Users can create rules using combinations (AND/OR) of conditions like price, percentage change, trading volume, volume ratio, etc. Rules can be set to activate only during trading hours or 24/7, with configurable cooldown periods, daily trigger limits, and expiration dates. Alerts can be routed to specific notification channels.
4. Professional Technical Analysis Toolkit: Provides automated calculation and visualization of key technical indicators for in-depth stock analysis. This includes trend indicators (MA alignment, MACD crossovers, Bollinger Band breaks), momentum oscillators (RSI overbought/oversold, KDJ divergence), volume-price analysis (abnormal volume ratio, shrinking volume pullbacks), candlestick pattern recognition, and automatic identification of multi-level support and resistance zones.
5. Omni-Channel Notification Delivery: Ensures critical alerts and AI reports are received promptly by integrating with popular communication platforms. It natively supports Telegram, WeChat Work (Enterprise WeChat), DingTalk, Feishu (Lark), Bark, and custom Webhooks, allowing users to choose their preferred medium for real-time updates.

Problems Solved

1. Pain Point: The overwhelming cognitive load and time commitment required for investors to manually and continuously track dozens of stocks, news feeds, and technical indicators across different markets and time zones.
2. Target Audience: Privacy-conscious individual investors and small trading teams who want to automate their monitoring workflow without sending sensitive portfolio data to third-party SaaS platforms. It's also ideal for quantitative retail traders seeking to integrate structured AI reasoning into their discretionary trading process.
3. Use Cases: An investor holding a diversified portfolio of A-shares and US tech stocks uses PanWatch to receive a pre-market analysis report each morning, gets an instant Telegram alert when a key holding shows an RSI/MACD/volume breakout confluence during the session, and triggers a deep-dive TradingAgents analysis on a stock experiencing high volatility to get a structured bull/bear assessment before making a trading decision.

Unique Advantages

1. Differentiation: Unlike cloud-based stock screeners or alert services, PanWatch is self-hosted, ensuring all portfolio data and analysis remain on the user's own infrastructure. Unlike simple indicator bots, it employs a multi-agent AI framework that simulates a professional investment team's research and debate process, providing reasoning, not just signals.
2. Key Innovation: The deep integration of the TradingAgents (LangGraph-based) multi-agent framework directly into a user-friendly monitoring platform. This transforms the AI from a chat interface into an automated, schedulable, and triggerable component of the investment workflow. The conditional, multi-parameter alert engine combined with omni-channel push also represents a significant technical advantage over basic price alerts.

Frequently Asked Questions (FAQ)

1. Is PanWatch a fully automated trading bot? No, PanWatch is an AI monitoring assistant and decision support tool. It provides analysis, alerts, and reports but does not automatically execute trades on your brokerage account. The final trading decision and execution remain with the user.
2. What are the data sources for PanWatch's stock quotes and news? The platform integrates with financial data APIs (commonly using libraries like akshare for A-shares) to fetch real-time and historical market data, corporate fundamentals, and news feeds. The specific data sources are configurable within its data acquisition modules.
3. How much does it cost to run PanWatch, and what are the main expenses? The core PanWatch software is open-source and free. The primary operational costs are: 1) The computing resources (a VPS or home server) to host it, and 2) The fees for the LLM API (like OpenAI, DeepSeek, or local Ollama) used to power the TradingAgents analysis. A typical DeepSeek analysis run costs approximately $0.05.
4. Can PanWatch connect directly to my brokerage account to see my holdings? PanWatch does not currently support direct, automated brokerage API connections for security and compatibility reasons. Portfolio holdings need to be manually added or synchronized within the PanWatch interface. This manual control aligns with its self-hosted, privacy-first philosophy.
5. What technical skills are needed to deploy and maintain PanWatch? Basic familiarity with Docker and command-line operations is sufficient for deployment using the provided docker run or docker-compose commands. Ongoing maintenance is minimal. For custom development or advanced configuration, knowledge of Python and React is beneficial.