A comprehensive financial data retrieval tool for AI agents to access real-time and historical Chinese market data via the THS iFinD API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ifind-data
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 ifind-data 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 iFinD Financial Data Query Skill?
The ifind-data skill provides a robust interface for AI agents to query professional-grade financial information from 51ifind.com. It covers 18 distinct API endpoints including A-shares, funds, bonds, and macro-economic indicators. This Openclaw Skills extension empowers developers to build automated trading assistants, financial analysts, and market monitoring tools with high-fidelity data.
By leveraging the THS iFinD infrastructure, this skill bridges the gap between raw market data and AI-driven insights. It handles complex authentication flows and provides structured data optimized for consumption by large language models and automated workflows.
iFinD Financial Data Query Skill Use Cases
- Monitoring real-time stock prices and market volatility for A-shares and indices.
- Backtesting trading strategies using historical K-line and high-frequency minute-level data.
- Analyzing corporate financial health through ROE, EPS, and PE indicators.
- Managing investment portfolios with automated transaction logging and performance tracking.
- Researching macroeconomic trends using the EDB database for metrics like GDP, CPI, and PMI.
- Retrieving and analyzing official corporate announcements and PDF reports.
How iFinD Financial Data Query Skill Works
- The AI agent initializes the skill by checking for the IFIND_REFRESH_TOKEN in the environment configuration.
- Upon a user request for financial data, the agent identifies the correct endpoint such as real_time_quotation or basic_data_service.
- The agent formats a JSON payload containing specific security codes and desired indicators.
- The skill executes the binary command which handles automatic authentication, billing verification via SkillPay, and data retrieval.
- The THS iFinD server returns the requested data, which the skill then parses and presents as a structured JSON response.
- The agent interprets the data for the user while providing metadata about usage volume or trial status.
iFinD Financial Data Query Skill Setup
To use the ifind-data skill within Openclaw Skills, you must configure your refresh token. First, verify if the token is already set:
grep -q 'IFIND_REFRESH_TOKEN=.' ~/.openclaw/skills/ifind-data/.env && echo "ok" || echo "missing"
If missing, obtain your token from the iFinD Super Command client (Tools -> refresh_token) and update your configuration:
sed -i 's/^IFIND_REFRESH_TOKEN=.*/IFIND_REFRESH_TOKEN=your_actual_token/' ~/.openclaw/skills/ifind-data/.env
iFinD Financial Data Query Skill Data Schema & Taxonomy
The skill returns structured data including performance metrics and usage tracking. Below is the primary response structure:
| Field | Description |
|---|---|
| errorcode | Status code where 0 indicates success |
| errmsg | Descriptive error message for troubleshooting |
| tables | The main data payload containing the requested financial indicators |
| perf | Processing time in milliseconds |
| dataVol | Volume of data units consumed by the query |
| trial | Boolean indicating if the request was made during the trial period |
iFinD Financial Data Query Skill Advanced Features
- High-frequency data analysis with support for technical indicators like MACD, KDJ, and RSI.
- Comprehensive portfolio management including risk metrics like Alpha, Beta, and Sharpe ratios.
- Real-time fund valuation for both intra-day minute intervals and daily closing assessments.
- Automated data volume monitoring to track account consumption limits.
- Seamless payment integration via SkillPay for pay-as-you-go access using USDT after the initial trial period.
- Intelligent stock picking via natural language string search functionality.
SKILL.md
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