A sophisticated analytical engine that transforms raw financial news and corporate events into actionable investment intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install news-event-driven-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 news-event-driven-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 News and Event-Driven Analysis?
The News and Event-Driven Analysis skill is a high-performance tool built for the Openclaw Skills framework, designed to synthesize complex market data into structured insights. Inspired by the investment principles of legends like Warren Buffett and Benjamin Graham, it provides a systematic approach to interpreting macroeconomic policies, industry shifts, and specific corporate announcements within the A-share, HK, and US stock markets.
This skill bridges the gap between information and action by automating the discovery of news and applying a rigorous four-step analytical framework. It allows developers and analysts to assess market sentiment, estimate valuation impacts, and identify investment opportunities across the entire industrial chain, ensuring that every piece of news is evaluated for its substantive and emotional market impact.
News and Event-Driven Analysis Use Cases
- Decoding the influence of macro policies such as interest rate adjustments or industry-specific regulations on sector performance.
- Performing deep-dive analysis on corporate actions including earnings reports, mergers, acquisitions, and equity incentive plans.
- Identifying event-driven trading opportunities arising from technological breakthroughs or sudden supply chain disruptions.
- Gauging market sentiment through the lens of media coverage, analyst ratings, and capital flow indicators.
How News and Event-Driven Analysis Works
- Initiate a real-time retrieval process using integrated search tools to gather the latest company announcements and industry news.
- Classify the event nature as bullish, bearish, or neutral and distinguish between substantive fundamental changes and temporary emotional shifts.
- Quantify the potential impact on stock prices and company earnings over short, medium, and long-term horizons.
- Map the direct and indirect beneficiaries within the industrial chain, including upstream suppliers and downstream customers.
- Generate comprehensive operational suggestions covering entry timing, position management, and risk mitigation strategies.
News and Event-Driven Analysis Setup
To integrate this capability into your agent within the Openclaw Skills ecosystem, ensure your environment has web search permissions enabled. Use the following command structure:
# Install the skill via the Openclaw CLI
openclaw install news-event-driven-analysis
# Configure the search parameters for your target markets (A-Share, HK, or US)
# Ensure the web_search tool is active in your config.yaml
News and Event-Driven Analysis Data Schema & Taxonomy
The skill organizes its output into a structured format for easy parsing and integration into larger trading systems:
| Attribute | Description | Values |
|---|---|---|
| Event Type | The category of the news | Policy, Corporate, Industry, Sentiment |
| Impact Rating | Quantitative 1-5 star scale | 1 (Micro) to 5 (Major) |
| Time Dimension | Expected duration of influence | Short-term, Mid-term, Long-term |
| Financial Impact | Estimated price fluctuation | ±5%, ±10%, ±20%+ |
| Target List | Related entities | Direct, Indirect, and Peer targets |
News and Event-Driven Analysis Advanced Features
- Multi-market template support providing localized search logic for A-share, HK, and US stock markets.
- Automated historical benchmarking to compare current events against similar past market scenarios.
- Sentiment indicators derived from mainstream financial media and investor platforms like Snowball.
- Precise impact-to-valuation modeling that suggests adjustments to company valuation levels based on event significance.
SKILL.md
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