InvestToday Finance Data

Problem Description

Developers and analysts often need to quickly obtain structured data from the Chinese financial market to support trend analysis, financial comparisons, or macroeconomic research. However, data sources are fragmented, and interfaces are complex, covering multiple asset types like A-shares, Hong Kong stocks, funds, and indices. Manual integration is time-consuming and error-prone. For instance, viewing a stock's price trends, financial trends, or institutional research reports may require switching platforms or handling inconsistent data formats.

Core Capabilities and Workflow

This skill provides a unified investoday-api CLI tool that covers Chinese financial market data and investment research information. It allows direct command-line queries for data, supporting the following core scenarios:

• Market Trend Analysis: Fetch real-time or historical data for stocks, funds, and indices, including price changes, trading activity, and relative strength.
• Financials and Valuation: Query company financials, profit trends, valuation metrics (e.g., PE, PB), and cash flow data for comparative analysis.
• Announcements, Research Reports, and News: Retrieve the latest announcements, institutional research reports, and news events to identify market catalysts.
• Sector and Macro Data: Analyze sector heat, theme industry chain relationships, and macroeconomic indicators (e.g., CPI, PMI).

The skill's workflow is based on intent recognition and API execution:
1. Intent Recognition: First, parse the user's request to determine if it belongs to categories like market data, financials, announcements, etc.
2. API Lookup: If the API is unclear, use investoday-api list to browse groups or investoday-api search-api to search by keywords.
3. Parameter Query: Once the API is identified, use investoday-api search-api to get parameter details and examples.
4. Data Execution: Call investoday-api [key=value ...] to fetch data, supporting query parameters and JSON Body.

For example, if a user requests "Compare financial metrics between Apple and Tencent", the skill identifies this as a financial comparison task, searches for relevant APIs (e.g., references or financial), specifies parameters, and executes the query, returning structured data for further analysis.

Boundaries and Considerations

While the skill covers a wide range of data, it has clear limitations:
- No Investment Advice: It only outputs data and cannot replace financial advisors or provide buy/sell recommendations.
- Data Availability: Query results are subject to data source permissions, time ranges, and API capabilities; if empty, limitations should be explained, not fabricate conclusions.
- No Trade Execution: It cannot automatically place orders or manage investment portfolios.
- Exclusion of Non-Financial Data: Focused on financial markets, it does not handle system operations or unrelated queries.

When using, ensure parameters are complete (e.g., securities codes, time ranges), and follow the decision workflow to avoid misuse. If the service is unavailable, data inference should be explicitly stopped.