Bigdata Sector Analysis

by Bigdata-com2a52a0013662No license2 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated yesterday

Analyze a market sector using Bigdata.com data — performance, valuations, themes, sub-industries, and upcoming catalysts. Maps the sector to its own operating and valuation KPIs rather than generic P/E, reads cycle and profitability positioning as early, mid, or late versus history, aggregates bellwether tearsheet metrics, and closes with a positioning call plus top picks and areas to avoid. Triggers: "analyze the X sector", "what's happening in X sector", "X sector outlook", "how is the X industry doing", "X sector valuations", "is the X sector attractive", "semiconductor/energy/healthcare sector view".

AI-generated overview

Analyzes a single market sector using Bigdata.com data, covering performance, valuations, cycle positioning, catalysts and a positioning call.

What it does
This skill produces a full sector read for one market sector: where it trades, what drives it, and what is coming. It maps the sector to its own operating and valuation KPIs instead of generic P/E, aggregates bellwether company metrics, positions the cycle and profitability as early, mid or late versus history, and closes with a positioning call plus top picks and areas to avoid. Output follows a report template with inline citations, a numbered sources table and a disclaimer.
When to use it
Use it when the subject is a single sector, such as requests to analyze a sector, describe what is happening in it, give a sector outlook, or assess sector valuations and attractiveness. It is not intended for comparing two or more sectors, country- or region-specific sector work, a single company, or cross-sector macro themes.
Requirements
Requires access to Bigdata.com plugin tools: bigdata_search, find_securities, bigdata_company_tearsheet and bigdata_events_calendar, with find_securities needed before the tearsheet and calendar tools. Every Bigdata.com plugin call must pass plugin_slug set to bigdata-sector-analysis, except search and fetch, which omit it. Instructions only; no scripts are shipped.

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:

RequestUse instead
Two or more sectors compared, or rotationCross-sector comparison
A sector inside a specific country or regionCountry-sector analysis
An actionable KPI-and-debates playbook for investing the sectorSector playbook
A macro theme that cuts across sectorsThematic research
One company in the sectorCompany brief / investment memo

Data foundation (plugin tools)

ToolPurposePrerequisite
bigdata_searchSector trends, valuations, policy, catalysts, cycle contextNone
find_securitiesEntity ids for 5–10 sector bellwethersNone
bigdata_company_tearsheetPer-company metrics, estimates, sentiment, segmentsfind_securities
bigdata_events_calendarUpcoming earnings and conferencesfind_securities

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:

GICS sectorEmphasize these KPIs
Information Technology / Software-SaaSARR growth, NRR, Rule of 40, FCF margin, payback
FinancialsNIM, CET1 / capital, credit costs, ROTCE, efficiency
Health Care (incl. Pharma)Growth drivers, pipeline / patent, R&D, payer mix, regulatory
Real Estate (REITs)AFFO, NAV, cap rates vs bonds, same-store NOI
IndustrialsBacklog, book-to-bill, margin mix, OEM / capex cycle
Consumer Discretionary / StaplesSame-store sales, promo, input costs, private label
EnergyCommodity linkage, breakeven, FCF at forward curve, capital discipline
MaterialsPrice/volume, capacity, inventory, China / construction linkage
Communication ServicesSubscribers, ARPU, churn, ad market / streaming economics
UtilitiesAllowed ROE, rate case risk, weather / load growth
(Other)Default to margin trajectory, ROIC vs peers, and segment growth

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.

Source and attribution

Source:Bigdata-com/bigdata-plugins-marketplaceinplugins/bigdata-com/skills/bigdata-sector-analysisat commit2a52a00

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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