An advanced AI stock analysis agent that integrates multi-source financial data to provide a comprehensive seven-dimensional investment evaluation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 7d-stock-analyzer
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 7d-stock-analyzer 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 7d-stock-analyzer?
The 7d-stock-analyzer is a sophisticated AI agent designed for deep equity research within the Openclaw Skills ecosystem. By synthesizing data from efinance, akshare, and qveris, it offers a holistic view of stock performance, moving beyond simple price tracking to analyze fundamental health and competitive positioning.
This skill automates the rigorous process of stock valuation and risk identification, enabling developers and investors to generate structured reports. It bridges the gap between raw financial data and actionable intelligence through its modular seven-dimensional framework, ensuring that every investment hypothesis is backed by cross-verified technical and fundamental metrics.
7d-stock-analyzer Use Cases
- In-depth analysis of individual stocks to determine long-term investment value.
- Data-driven decision support for buying, selling, or holding positions.
- Regular portfolio health checks and automated stock monitoring.
- Rapid screening to filter out stocks that fail to meet specific financial or risk criteria.
How 7d-stock-analyzer Works
- Data Collection & Verification: Aggregates core financial data from multiple providers to ensure accuracy.
- Fundamental & Valuation Analysis: Evaluates profitability, debt, cash flow, and relative market pricing.
- Industry & Technical Assessment: Analyzes competitive moats, industry cycles, trend lines, and capital flow.
- Risk Identification: Scans for financial red flags, industry-specific risks, and valuation bubbles.
- Conclusion Generation: Produces a final scoring card and an investment suggestion matrix (0-100 scale).
7d-stock-analyzer Setup
First, ensure you have python3 installed and set up your environment variables:
export QVERIS_API_KEY=your_qveris_api_key
Install the necessary Openclaw Skills dependencies:
pip install efinance akshare pandas numpy
Run a basic analysis:
python scripts/analyze.py 600519
7d-stock-analyzer Data Schema & Taxonomy
The skill organizes its output into multiple formats for flexibility:
| Format | Description | Use Case |
|---|---|---|
| Markdown | Detailed reports with tables and visual scoring | Human-readable research |
| JSON | Structured data objects | Programmatic processing & dashboards |
| Brief | Concise summary snippets | Quick mobile browsing or alerts |
Data is categorized into seven key dimensions: data, fundamental, valuation, industry, technical, risk, and conclusion.
7d-stock-analyzer Advanced Features
- Parallel Dimension Execution: Runs multiple analysis dimensions simultaneously to optimize performance.
- Multi-Source Cross-Verification: Compares data across three different APIs to eliminate data discrepancies.
- Modular Dimension Selection: Allows users to run specific analyses (e.g., only technical or fundamental) via CLI flags.
- Automated Scoring System: Features a weighted 0-100 scoring logic to provide objective ratings from 'Strong Buy' to 'Avoid'.
SKILL.md
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