A comprehensive stock analysis engine that synthesizes fundamental valuation and practical trading perspectives into actionable 18-dimensional reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tbog-stock-analysis
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 tbog-stock-analysis 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 Stock Analysis - 18-Dimensional Fusion?
The Stock Analysis skill provides a professional-grade analytical framework for investors and traders seeking deep market intelligence. It leverages a proprietary 18-dimensional methodology to analyze stocks across A-shares, Hong Kong, and US markets. Unlike surface-level tools, this skill integrates management governance, shareholder structures, and supply chain health with technical indicators to provide a holistic view of any security.
As a cornerstone of the Openclaw Skills library, it prioritizes technical truth and data integrity. It ensures that every report generated is backed by a multi-source data fetching process and a rigorous completeness check. By merging valuation models with real-world trading rhythms, it helps users move beyond simple narratives toward executable investment strategies.
Stock Analysis - 18-Dimensional Fusion Use Cases
- Conducting deep fundamental research for long-term value investing.
- Performing technical trend analysis for swing trading and short-term positioning.
- Investigating institutional shareholder backgrounds to identify smart money movement.
- Auditing supply chain health and capacity utilization for industrial sector stocks.
- Generating professional, structured investment reports for team communication and record-keeping.
How Stock Analysis - 18-Dimensional Fusion Works
- The skill parses user input to identify the stock code, target market, and preferred analysis style (Fusion, Value, or Trading).
- It fetches critical data across seven categories, including financials, shareholder records, management background, and technical price levels.
- A data completeness check is performed; the skill requires a minimum 80% data density to generate a full-depth report.
- The engine executes the 18-dimensional analysis framework, covering factors like market microstructure, DCF calculations, and ESG policy dividends.
- A structured 9-part report is synthesized, featuring specific entry/exit prices, stop-loss levels, and risk ratings.
- The skill interacts with the Feishu API to create a document, verifies the content length, and performs an automated repair if the document is detected as empty.
Stock Analysis - 18-Dimensional Fusion Setup
To integrate this capability into your workflow, ensure your environment has the necessary tool permissions for document generation. This skill is part of the broader Openclaw Skills ecosystem and can be invoked via standard agent protocols.
# Example of how an agent might invoke the analysis
# analyst analyze --stock "002837" --market "A-Share" --style "fusion"
Stock Analysis - 18-Dimensional Fusion Data Schema & Taxonomy
The skill organizes its output into a highly structured taxonomy to ensure clarity and professional standards. Data is sourced from East Money, Tonghuashun, Yahoo Finance, and official exchange disclosures.
| Report Section | Content Focus |
|---|---|
| Simplified Conclusion | Ratings, target price range, and mandatory stop-loss. |
| 18-Dim Analysis | Deep dive into management, valuation models, and supply chains. |
| Trading Rhythm | Entry strategies and position management guidance. |
| Institutional vs Expert | Comparison between consensus ratings and the internal framework. |
| Key Indicators | Tracking table for observation frequency and signal thresholds. |
Stock Analysis - 18-Dimensional Fusion Advanced Features
- Dynamic Style Weighting: Toggle between Value-centric (60% valuation weight) and Trading-centric (40% trend weight) analysis modes.
- Mandatory Shareholder Verification: Automated background checks on the top 5 shareholders and institutional 'cornerstone' investors.
- Document Self-Healing: A safety protocol that reads generated Feishu documents to verify block counts and re-writes content if a failure is detected.
- Multi-Market Logic: Customized institutional lists and focus points for A-share (SOE focus), HK-share (Tech giant focus), and US-share (BlackRock/Vanguard focus) markets.
- Risk Level Tagging: Visual risk indicators using standard industry color-coding for high, medium, and low-risk profiles.
SKILL.md
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