A high-fidelity financial analysis skill for AI agents that generates 10-dimensional, Wall Street-style stock reports using real-time market data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wall-street-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 wall-street-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 Wall Street Stock Analysis System?
The Wall Street Stock Analysis System is an advanced analytical framework designed for Openclaw Skills to provide deep, professional-grade insights into equity markets. It goes beyond basic price tracking by synthesizing business models, financial health trends, and competitive moats into actionable intelligence.
This skill empowers AI agents to act as virtual research analysts, delivering structured reports that mirror the rigorous standards of major financial institutions. By integrating real-time API data, it ensures that every buy, hold, or avoid recommendation is backed by current market realities rather than historical training data, making it an essential tool for modern investment research.
Wall Street Stock Analysis System Use Cases
- Professional-grade equity research for retail and institutional investors.
- Automated generation of 10-dimensional financial health and valuation reports.
- Comparative bull versus bear debates for objective decision-making.
- Real-time monitoring of earnings reports and management guidance.
How Wall Street Stock Analysis System Works
- The user triggers the skill by providing a stock code or ticker via the Openclaw Skills interface.
- The system performs a network connectivity and API availability check via Tencent Finance or backup sources like Sina Finance.
- It fetches real-time market data, including current price, P/E ratio, market capitalization, and historical 5-year trends.
- The agent executes a multi-dimensional analysis covering financial trends, competitive moats, and valuation models like DCF or PEG.
- A final verdict is generated, synthesizing all data into a clear Buy, Hold, or Avoid recommendation with short and long-term outlooks.
Wall Street Stock Analysis System Setup
To deploy this within your Openclaw Skills environment, ensure your agent has outbound internet access to reach financial data providers.
# Standard trigger command
/analyze "Wall Street Analysis [STOCK_CODE]"
No specific API keys are required for the primary public data endpoints, but the agent must be configured to prioritize Tencent Finance API (qt.gtimg.cn) for real-time accuracy.
Wall Street Stock Analysis System Data Schema & Taxonomy
The skill organizes financial data into a structured taxonomy to ensure consistency across reports. It maps raw API fields to the following analytical schema:
| Category | Key Metrics Captured |
|---|---|
| Financial Health | Revenue Growth (>10%), Net Profit Margin (>15%), ROE (>15%), Debt Levels |
| Moat Analysis | Brand Strength, Network Effect, Switching Costs, Patents |
| Valuation | P/E vs Industry, DCF, PEG, P/S |
| Market Data | Current Price, Turnover Rate, Market Cap, Trading Volume |
Wall Street Stock Analysis System Advanced Features
- Multi-source data redundancy with automatic failover between Tencent, East Money, and Sina Finance to ensure high availability.
- Dynamic competitive moat scoring on a 1-10 scale based on qualitative and quantitative inputs.
- Integrated Discounted Cash Flow (DCF) modeling for intrinsic value estimation.
- Strict data authenticity protocols within Openclaw Skills that prevent AI hallucinations by mandating real-time verification before report generation.
SKILL.md
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