Bigdata Sector Analysis
Full read on one sector: where it trades, what drives it, and what is coming. Use Bigdata.com plugin tools for every fact.
Use this skill when the subject is one sector. Not this skill when:
Data foundation (plugin tools)
Required on every call: pass plugin_slug: "bigdata-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-sector-analysis, regardless of the company or query.
Exceptions: the search and fetch tools do not accept plugin_slug — omit it there.
Run 5–10 targeted searches across the workflow. Include temporal context ("last 30 days", "2026 outlook").
Workflow
Step 1 — Sector context
Search:
- "[Sector] sector outlook trends analysis"
- "[Sector] sector earnings performance"
- "[Sector] sector headwinds tailwinds"
- "[Sector] sector valuations multiples"
- "[Sector] sector regulatory policy"
Step 2 — Sector-specific KPI lens (GICS)
Do not rely only on generic P/E, P/S, and EV/EBITDA. Map the sector to its primary operating and valuation KPIs:
Deeper playbooks: references/sector-routing.md.
Step 3 — Key companies
Use find_securities for 5–10 major sector companies, then bigdata_company_tearsheet for each: financial metrics and performance, analyst estimates and sentiment, revenue segmentation, ESG scores.
Step 4 — Aggregate sector metrics
From the tearsheets, compile sector-relevant multiples (per Step 2, not only P/E), the Step 2 KPIs where visible, revenue and earnings growth trends, the analyst rating distribution, and sentiment indicators.
Step 5 — Cycle and profitability positioning
Add brief, evidence-based cycle context:
- Search "[Sector] sector ROIC profitability cycle outlook" and "[Sector] margin cycle vs history"
- State whether ROIC (or a sector proxy) and margins look early / mid / late versus a normal cycle — or flag the data limits
- Industry-economics mental model: references/porter-five-forces.md
Step 6 — Catalysts
Search:
- "[Sector] regulatory changes policy"
- "[Sector] technology disruption"
- "[Sector] M&A consolidation"
- "[Sector] earnings expectations"
- "[Sector] supply chain tariffs"
Step 7 — Events calendar
Use bigdata_events_calendar for upcoming earnings and conferences across the bellwethers.
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 in every sector analysis:
- Sector-specific KPIs present — a report built only on P/E has not done the job
- Cycle positioning stated (early / mid / late) or its data limits flagged
- Tailwinds and headwinds name which companies are exposed
- Positioning call given: overweight / neutral / underweight, with top picks and areas to avoid
- Every claim from a source carries an inline citation and appears in the Sources table
GICS sectors reference
Information Technology, Health Care, Financials, Consumer Discretionary, Consumer Staples, Industrials, Energy, Materials, Real Estate, Communication Services, Utilities.
