Equaldata A-Share Financial Data Service
Paste the following prompt into your AI chat to install this skill:
Please refer to https://skillhub.cn/install/skillhub.md to install @org-q59kojk2/equal-data-skill.
About this skill
When building financial data analysis applications for the A-share market, developers often struggle with fragmented data sources, high real-time requirements, and complex multi-dimensional integration. The equaldata skill addresses these pain points by providing an integrated data service interface.
Core Capabilities and Data Coverage
This skill covers a wide range of financial data dimensions in the A-share market, including:
- Stock Panoramic Information: Real-time quotes, financial indicators, main business, executive backgrounds, and shareholder information, accessible via interfaceId parameters like G1 (Real Time Quote List) or A1 (Major Financial Data).
- Smart Capital Flow: Unique monitoring of holdings from public funds, private equity, national teams, etc., with cost analysis, using interfaceId J1 (Institution Full Data) for queries.
- Intelligent Quantitative Stock Screening: Multi-condition filtering based on valuation models, event-driven factors, and financial indicators, supported by interfaceId such as S1 (Valuation Model Screening) or S3 (Event Driven Screening).
- Information Retrieval: Timely access to financial flash news, announcements, and reports through interfaceId E1 (Flash News) or E3 (Company Announcements).
Usage and Key Steps
Integrating this skill typically involves the following steps:
1. API Authentication: Configure the EQUAL_DATA_API_KEY environment variable to ensure data access permissions.
2. Parameter Calling: Select the appropriate interface based on requirements; for example, to query executive holding amount rankings, use interfaceId B6 with parameters like period and changeType.
3. Data Parsing: The data is returned in JSON format, facilitating further processing and analysis in applications.
Trigger commands such as 【A股】【行情】【龙虎榜】help quickly locate relevant data interfaces.
Applicable Boundaries and Considerations
- Data Dependencies: The skill requires
equal_dataversion 0.0.12 or higher; ensure the environment is correctly set up. - API Limitations: Some interfaces may have call frequency or data scope restrictions; refer to specific documentation.
- Use Cases: Best suited for applications requiring real-time monitoring, quantitative screening, or event-driven analysis; data updates outside trading hours may have delays.
In summary, the equaldata skill provides structured data access points for A-share financial data analysis, simplifying the process from data acquisition to application integration.
Use Cases
- When an investment analyst needs to monitor changes in public fund and foreign capital holdings, use the institution full data interface to query institutional movements, identifying market hotspot sectors.
- When building a quantitative stock screening model, utilize the valuation model screening interface to filter stocks with low PE and high dividend yield, aiding investment decisions.
- During trading, a trader follows Dragon Tiger list data, analyzing short-term capital games through hot money operation details interface to formulate trading strategies.
- A research team tracks listed company performance forecasts, retrieving information on performance pre-increases or pitfalls to assess fundamental risks of individual stocks.
Best For
- Quantitative fund manager who needs to monitor smart capital flows in real-time to adjust investment portfolios
- Financial data analyst responsible for building multi-factor stock screening models for A-shares
- Investment advisor providing clients with event-driven analysis reports on individual stocks
- Trader following hot money movements on Dragon Tiger lists to develop short-term strategies
Related Skills
Systematically identify and evaluate the economic moats of listed companies using the Tang Shu Fang investment methodology for long-term investment analysis.
A skill that converts natural language questions into A-stock data queries and returns verifiable structured analysis conclusions, covering multi-dimensional analysis of market trends, fundamentals, and news.
An AI financial copilot by Wind, integrating financial databases and multimodal analysis to provide end-to-end support across investment research, asset allocation, risk control, quant, and report generation.
Searches for latest policies and generates GB/T 9704-2020 compliant official documents (requests or reports) in Word and PDF formats.