A sophisticated market intelligence skill for real-time A-share sector research, global news mapping, and automated financial reporting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stockselectionmodel-bak
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install stockselectionmodel-bak using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Stock Insider?
AI Stock Insider is a developer-centric skill designed to transform raw market data into professional-grade sector research reports. By integrating real-time A-share market data, global news mapping, and US stock correlations, it provides a comprehensive view of market catalysts and trends. As part of the Openclaw Skills ecosystem, this tool is built for efficiency, utilizing localized scripts for data fetching to minimize LLM token usage while maximizing output quality.
The skill excels at identifying driving logic, bull/bear factors, and major upcoming events without requiring complex manual configurations. It is perfectly suited for traders and developers who need high-frequency market updates delivered directly to platforms like Feishu, Coze, or any Markdown-compatible interface.
AI Stock Insider Use Cases
- Generating instant research reports for specific A-share sectors like New Energy, Semiconductors, or AI.
- Mapping global news events to their corresponding domestic A-share impact and stock movements.
- Automating morning briefings and daily AI-driven market newsletters.
- Monitoring movement alerts for AI concept stocks and analyzing US-related stock correlations.
How AI Stock Insider Works
- The user initiates a query regarding a specific sector or market movement.
- The system executes a Node.js script to pull real-time market quotes and news from public financial APIs.
- Data is processed locally to extract driving logic and categorize bull/bear factors using regex and mapping tables.
- A structured Markdown report is compiled, incorporating trend icons, core indicators, and visual distribution bars.
- If a deeper qualitative judgment is required, the system invokes an LLM using specialized prompts to provide expert predictions.
AI Stock Insider Setup
To integrate this tool into your Openclaw Skills workflow, ensure you have a Node.js environment ready. Installation is zero-config for basic features.
# Generate a real-time sector brief
node scripts/generate_brief.js --mode sector --sector <sector_name> --output pretty
For enhanced news coverage, you can optionally configure the Tavily API key:
export TAVILY_API_KEY='your_api_key_here'
AI Stock Insider Data Schema & Taxonomy
The skill organizes market intelligence into a structured taxonomy for maximum readability:
| Section | Description | Format |
|---|---|---|
| Trend Judgment | Visual icons and sentiment indicators | Markdown Symbols |
| Core Indicators | Constituents, limit-up/down counts, and price ratios | Table |
| Driving Logic | Automated extraction of news catalysts | Unordered List |
| Lead Stocks | Top gainers and losers with ticker codes | Table |
| US Correlations | Mapping domestic stocks to US market leaders | Table |
| Risk Warnings | Automated identification of potential market risks | Warning List |
AI Stock Insider Advanced Features
- Token-optimized architecture that handles heavy data fetching and logic extraction via local scripts rather than LLM calls.
- Native compatibility with Feishu (Lark) rendering, including support for specialized table blocks and link modules.
- Global-to-Local mapping engine that synchronizes domestic A-share concepts with international market news.
- Multi-platform support for Coze and standard Markdown environments with no external dependencies.
- Movement monitor for AI concept stocks that triggers without consuming generative tokens.
SKILL.md
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