Gildata Financial News Interpretation
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_cc9425b3/jy-news-interpretation-v2.
About this skill
Problem
Financial news is fragmented and fast-moving. Deciding whether a single announcement, policy, or macro event affects a market, industry, or stock usually requires manual filtering and supplemental data. This skill turns “find news, judge importance, trace related assets, and write interpretation” into a reusable query workflow.
How It Works
- Data entry: calls
jy-financedata-toolandjy-financedata-apithroughmcporter, usingqueryas the unified input parameter. - Intent parsing: distinguishes a 24-hour briefing, single-news interpretation, industry impact analysis, stock announcement review, or related-asset analysis.
- Parallel retrieval: gathers news, macro and industry data, research reports, company profiles, financial metrics, and market comparisons.
- Structured output: generates a
MarkdownorHTMLreport with timestamps, sources, impact paths, and related assets, and supports scheduled daily, trading-day, or weekly reports.
Boundaries
- Uses only the two listed MCP data sources and does not access external data sources.
- Requires a valid
JY_API_KEYand proper service configuration; environment checks should run before use. - Interpretations are based on public information, are for reference only, and do not constitute investment advice; market data may be delayed.
Use Cases
- Track A-share announcements, ratings, and shareholder changes, then generate a deep interpretation and related assets.
- Compile the last 24 hours of key financial news, industry headlines, and stock disclosures into an archive-ready Markdown morning brief.
- Analyze Fed policy, new-energy policy, or earnings forecasts for short- and medium-term impacts on markets, sectors, and assets.
- Set up daily or trading-day scheduled reports with timestamps and source traces for an investment-research brief.
Best For
- Sell-side researchers tracking A-share announcements, institutional ratings, and shareholder changes
- Investment research assistants producing and archiving daily trading-day financial briefs
- Industry analysts monitoring new-energy policy, macro policy, or sector headlines
- AI application engineers configuring MCP toolchains and validating data-source access
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