A quantitative data analysis tool for public funds, enabling deep insights into holdings, valuations, and performance tracking via AkShare.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install akshare-fund
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 akshare-fund 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 AkShare Fund Analysis?
The AkShare Fund skill provides a robust interface for quantitative analysis of public investment funds. Built on the comprehensive AkShare library, it allows developers and investors to fetch real-time net asset values, analyze detailed stock holdings, and calculate custom valuations. This skill for Openclaw Skills bridges the gap between raw financial data and actionable investment research, providing a command-line interface for complex financial queries.
By integrating this tool, users can automate the collection of mutual fund data, monitor portfolio performance, and identify market trends through fund manager behaviors. It is designed for those who require high-fidelity financial data without the need for manual scraping, making it an essential addition to any Openclaw Skills collection focused on fintech.
AkShare Fund Analysis Use Cases
- Analyzing individual fund holdings and market exposure to specific sectors.
- Tracking real-time net asset value (NAV) during active market trading hours.
- Aggregating holdings across multiple funds to identify concentrated stock risks or shared positions.
- Screening funds by specific types, such as Equity, Hybrid, Bond, or ETF categories.
- Comparing official fund valuations with custom-calculated estimates based on live underlying stock data.
How AkShare Fund Analysis Works
- The skill interfaces with the AkShare library to query public financial data from multiple authorized sources.
- It automatically detects the current time to determine if the market is in session (9:30-15:00, Monday to Friday).
- Based on the time, it decides whether to fetch real-time estimated NAV or historical settlement data.
- Users provide fund codes through the CLI, which are then used to pull specific metadata and holdings lists.
- The tool processes these lists to calculate aggregated metrics like total ownership percentage and average price changes.
- The resulting data is presented in a structured format suitable for further analysis or reporting.
AkShare Fund Analysis Setup
To get started with this skill for Openclaw Skills, ensure you have Python and the required libraries installed:
# Install required dependencies
pip install akshare pandas
# Query basic information for specific funds
python fund_cli.py info --list 018957 161725
# Get real-time or historical Net Asset Value
python fund_cli.py nav --list 018957 161725
AkShare Fund Analysis Data Schema & Taxonomy
The skill organizes data based on the market status and the specific query type. Below is the behavioral logic for data fetching:
| Feature | Trading Hours (9:30-15:00) | Non-Trading Hours |
|---|---|---|
| Fund NAV | Real-time Estimated NAV | Historical NAV |
| Fund Valuation | Custom Calculation | Official + Custom |
| Holding Summary | Includes Real-time Changes | No Price Change |
Output Fields for Holdings Summary:
- Stock Code and Name
- Total Percentage (Aggregated across funds)
- Latest Market Price
- Average Price Change
- Frequency (Number of funds holding this stock)
AkShare Fund Analysis Advanced Features
- Multi-fund holding aggregation to identify stock concentration across an entire portfolio.
- Intelligent trading hour logic that switches between real-time estimation and historical reporting automatically.
- Support for custom NAV calculation based on the current market prices of underlying stock holdings.
- Category-based fund filtering allowing for broad market research across ETFs and Bond funds.
- Seamless integration into Openclaw Skills automated research workflows.
SKILL.md
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