A professional Streamlit-based Web Dashboard for A-share market analysis, combining fundamental scoring with real-time sector tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a-share-dashboard
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 a-share-dashboard 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 A-Share Intelligent Dashboard?
The A-Share Intelligent Dashboard is a high-performance analytical tool designed for investors seeking a data-driven edge in the Chinese equity market. Built as part of the Openclaw Skills ecosystem, it leverages Streamlit to provide a clean, interactive interface for fundamental stock picking, technical charting, and capital flow monitoring.
By integrating reliable data sources like AKShare and EastMoney, this skill transforms raw financial data into actionable insights. Whether you are tracking Northbound funds or performing deep-dive K-line analysis, the dashboard serves as a centralized hub for smarter investment decision-making without leaving your AI agent workspace.
A-Share Intelligent Dashboard Use Cases
- High-frequency screening of A-shares based on fundamental scores, price action, and turnover rates.
- Real-time monitoring of personal portfolios with automated profit/loss calculations and risk alerts.
- Identifying market trends through automated hot sector tracking and Northbound capital flow visualization.
- Conducting deep-dive technical analysis using Plotly-powered K-line charts and moving averages.
How A-Share Intelligent Dashboard Works
- The skill initializes a local Streamlit server within the Openclaw environment.
- It fetches real-time market data, sector movements, and capital flows using the AKShare and EastMoney APIs.
- Data is processed via Pandas to calculate fundamental scores and risk metrics.
- The UI renders interactive tabs for stock selection, technical analysis, and portfolio tracking.
- The system triggers an automatic data refresh every 5 minutes to ensure the dashboard reflects the latest market conditions.
A-Share Intelligent Dashboard Setup
To deploy this skill within your workspace, navigate to the skill directory and launch the Streamlit application using the following commands:
cd ~/.openclaw/workspace/a-share-dashboard
pip install streamlit akshare plotly pandas
streamlit run app.py
Once started, access your local dashboard at http://localhost:8501.
A-Share Intelligent Dashboard Data Schema & Taxonomy
The skill manages data through integrated APIs and local configuration strings. Below is the primary structure for data handling:
| Data Type | Source | Description |
|---|---|---|
| Market Quotes | EastMoney API | Real-time price, volume, and turnover data. |
| Sector/Capital | AKShare | Concept boards, industry rankings, and Northbound flows. |
| Portfolio Input | User Provided | CSV-style format: Code, Cost, Quantity. |
| Visuals | Plotly | Dynamic JSON-based chart configurations for K-lines. |
A-Share Intelligent Dashboard Advanced Features
- Multi-source data fusion combining fundamental scoring with real-time technical indicators.
- Automated risk warning system for portfolio monitoring based on real-time price fluctuations.
- Dynamic Northbound capital flow tracking over a rolling 5-day window.
- Manual override data refresh for instant market synchronization during high-volatility periods.
SKILL.md
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