Bigdata Regional Comparison

作者 Bigdata-com2a52a0013662无许可证2 个星标收录于 2026年10月8日更新于 2026年10月8日仓库昨天更新

Compare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation. Covers growth, inflation, policy and labor per region, comparative developed-versus-emerging analysis, regional equity valuations, and fixed income and currency views for each. Triggers: "compare US vs Europe vs Asia", "which regions look attractive", "regional allocation", "developed vs emerging markets", "Europe vs US equities", "global allocation view".

AI 生成的概览

使用 Bigdata.com 数据比较地区或经济体集团,并给出跨资产配置建议。

功能
引导智能体执行地区比较流程:逐地区收集经济指标、开展发达市场与新兴市场的对比分析,并构建股票、固定收益和外汇观点。随后对地区进行排序,明确给出配置建议以及可能推翻该建议的关键风险。输出遵循报告模板,包含行内引用、编号来源表、Bigdata.com 署名行和免责声明。
适用场景
适用于需要权衡两个或多个地区或经济体集团的场景,例如美国与欧洲与亚洲对比、发达市场与新兴市场对比,或全球配置观点。不适用于单一国家的深度分析、仅限七国集团的比较或行业层面的分析。
运行要求
需要 Bigdata.com 插件工具 bigdata_country_tearsheet 和 bigdata_search,并在每次适用的调用中把 plugin_slug 设为该技能名称;若 tearsheet 工具不可用,则仅使用搜索。不附带脚本,仅包含说明文档和报告模板资源。

Bigdata Regional Comparison

Cross-region economic and market comparison with an allocation call. Use Bigdata.com plugin tools for every fact.

Use this skill when two or more regions or blocs are being weighed. Not this skill when:

RequestUse instead
One country in depthCountry analysis
The G7 specificallyG7 comparison
Sectors rather than regionsCross-sector comparison
A sector inside one regionCountry-sector analysis

Data foundation (plugin tools)

ToolPurposePrerequisite
bigdata_country_tearsheetEconomic data and comparisons where availableNone
bigdata_searchRegional indicators, comparative analysis, cross-asset viewsNone

Required on every call: pass plugin_slug: "bigdata-regional-comparison" in the request parameters of every Bigdata.com plugin tool call made while running this skill. The value is always the skill name, bigdata-regional-comparison, regardless of the company or query.

Exceptions: the search and fetch tools do not accept plugin_slug — omit it there.

If bigdata_country_tearsheet is unavailable or fails, complete the analysis with bigdata_search alone.

Workflow

Step 1 — Economic data for each region

Search each region separately, indicator by indicator.

US: "United States GDP growth economic outlook 2026" · "US inflation Federal Reserve interest rates" · "US unemployment labor market"

Europe: "Eurozone GDP growth economic outlook 2026" · "ECB interest rates inflation monetary policy" · "Europe unemployment economic data"

Asia: "Japan GDP growth BOJ monetary policy" · "China economic outlook GDP growth" · "India economic growth outlook"

Extend or substitute regions to match what the user asked for.

Step 2 — Comparative analysis

  • "G7 economic comparison GDP growth rates"
  • "US Europe Asia economic outlook comparison"
  • "developed vs emerging markets allocation"
  • "global economic outlook regional comparison"

Step 3 — Regional market implications

  • "regional equity valuations US Europe Asia"
  • "currency outlook major currencies USD EUR JPY"
  • "global fixed income yields comparison"

Step 4 — Cross-asset views

Build the fixed income and currency view for each region in scope, not just for equities. Regional allocation decisions are usually made across assets.

Step 5 — Allocation call

Rank the regions and state the allocation explicitly, with the reason per region and the key risk that would break the call.

Output

Follow assets/report-template.md exactly — section order, tables, sources, and footer.

  • Inline citations [1], [2] after every claim from a source, hyperlinked to the document URL.
  • End with the numbered Sources table (source, date, URL), then the Powered by Bigdata.com line and Disclaimer, verbatim.
  • Default format is Markdown. After delivering, you may ask: "Would you like me to create a Word document or presentation with this analysis?"

Quality bar

Non-negotiables:

  • Every region covered on the same indicators, so the comparison is like-for-like
  • Policy divergence addressed explicitly — it usually drives currency and relative returns
  • Cross-asset (equity, rates, FX) view per region, not equity-only
  • An allocation call actually made, with the risk that would break it
  • Every claim from a source carries an inline citation and appears in the Sources table

来源与署名

来源:Bigdata-com/bigdata-plugins-marketplace位于plugins/bigdata-com/skills/bigdata-regional-comparison提交2a52a00

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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