Bigdata Country Sector Analysis

Bigdata Country-Sector Analysis

Sector view anchored to one country or region. Use Bigdata.com plugin tools for every fact.

Use this skill when the request combines both a sector and a country/region — "Technology investment in the USA", "European financials outlook", "India consumer sector", "China EV". Not this skill when:

Data foundation (plugin tools)

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

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

Workflow

Step 1 — Country economic context

• "[Country] economic outlook GDP growth 2026"
• "[Country] inflation interest rates monetary policy"
• "[Country] central bank rate decision outlook"

Extract GDP growth, inflation, interest rates, and the policy environment.

Step 2 — Country-specific sector news

Query country + sector together:

• "[Country] [Sector] sector outlook 2026"
• "[Country] [Sector] industry trends performance"
• "[Country] [Sector] regulatory policy government"
• "[Country] [Sector] investment flows foreign domestic"
• "[Country] [Sector] earnings revenue growth"
• "[Country] [Sector] valuations multiples"
• "[Country] [Sector] headwinds risks challenges"
• "[Country] [Sector] tailwinds opportunities growth drivers"

Step 3 — Country-domiciled sector leaders

Use find_securities for 5–10 companies headquartered in or primarily operating in that country, then bigdata_company_tearsheet for each:

• Revenue breakdown by geography — confirm the country exposure is real, not just a listing venue
• Financial metrics and performance
• Analyst estimates and sentiment
• Hiring trends as a workforce signal

Step 4 — Events

Use bigdata_events_calendar for upcoming earnings across those leaders; filter by the country's exchange for a market-wide scan.

Step 5 — Policy and regulation

• "[Country] [Sector] regulation policy 2026"
• "[Country] government [Sector] subsidies incentives"
• "[Country] [Sector] trade tariffs exports"
• "[Country] [Sector] foreign investment restrictions"

Step 6 — Synthesize the macro-sector view

Combine the country backdrop, the country-specific sector trends, company fundamentals, the policy environment, and valuation relative to global sector peers. The value of this deliverable is the intersection — a generic sector view with a country label pasted on top does not pass.

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:

• Country macro backdrop and sector detail both present — neither alone is the deliverable
• Company selection justified by domicile or operations, with geographic revenue confirming it
• Policy, subsidies, tariffs, and foreign-investment rules addressed — these usually dominate country-sector outcomes
• Valuation framed against global sector peers, so the country premium or discount is visible
• Every claim from a source carries an inline citation and appears in the Sources table