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Gildata Financial News Interpretation

Professional Updated 2026.08.30

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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-tool and jy-financedata-api through mcporter, using query as 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 Markdown or HTML report 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_KEY and 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