A professional-grade financial analysis skill for evaluating global equities across US, HK, and A-share markets using fundamental value-investing principles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-analysis-agent
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 stock-analysis-agent 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 Agent?
The Stock Analysis Agent is a specialized tool designed for the Openclaw Skills ecosystem that empowers AI agents to conduct deep-dive financial research. It bridges the gap between raw data and actionable intelligence by providing systematic analysis frameworks for the world's most liquid markets, including the US, Hong Kong, and Mainland China (A-shares).
By leveraging this skill, developers can deploy agents that behave like seasoned equity analysts. The skill emphasizes long-term value, rigorous risk assessment, and industry-specific metrics, ensuring that every recommendation is backed by logical reasoning and fundamental data points rather than mere speculation.
Stock Analysis Agent Use Cases
- Performing fundamental analysis on US growth and value stocks across technology and healthcare sectors.
- Evaluating Hong Kong market trends with a focus on southbound capital flows and the new economy.
- Analyzing Chinese A-shares based on macroeconomic policy shifts and industry cycles.
- Generating comprehensive investment reports including valuation judgments and risk warnings.
How Stock Analysis Agent Works
- Market Contextualization: The agent begins by assessing the macroeconomic environment and policy impacts relevant to the specific global market.
- Industry Screening: It identifies high-growth sectors and filters for companies with sustainable competitive moats.
- Financial Deep-Dive: The skill triggers an analysis of financial statements, focusing on profitability, cash flow, and debt levels.
- Valuation Modeling: It applies multiple valuation methods such as PE, PB, and DCF to determine a margin of safety.
- Synthesized Recommendation: Finally, it outputs a structured investment logic, including ticker symbols, target horizons, and critical risk warnings.
Stock Analysis Agent Setup
To integrate this skill into your environment, ensure you have the Openclaw Skills framework initialized. Install the skill by adding the following configuration to your agent's directory:
# Clone the skill repository into your agent's skills folder
git clone https://github.com/openclaw/stock-analysis-agent.git
# Or use the Openclaw CLI to add it directly
openclaw add stock-analysis-agent
Stock Analysis Agent Data Schema & Taxonomy
The Stock Analysis Agent organizes its intelligence using a structured reference system to ensure consistency across different Openclaw Skills implementations:
| File | Purpose |
|---|---|
analysis-framework.md |
Contains valuation checklists, DCF templates, and sector-specific KPIs. |
market-characteristics.md |
Details the unique regulatory and liquidity traits of US, HK, and A-share markets. |
output-template.md |
Defines the mandatory structure for investment logic and risk disclosures. |
Stock Analysis Agent Advanced Features
- Multi-Market Synchronicity: Simultaneously compare a company's performance across its dual-listings (e.g., ADRs vs HK-listing).
- Value-Investing Guardrails: Built-in logic that prioritizes fundamental health over technical volatility to ensure professional-grade output.
- Risk-First Framework: Automatically generates diversified portfolio suggestions to mitigate idiosyncratic company risks.
- Customizable Valuation Hooks: Developers can extend the
analysis-framework.mdto include proprietary financial formulas or specific industry benchmarks.
SKILL.md
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