Bigdata Regional Comparison
by Bigdata-com2a52a0013662No license2 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated yesterday
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".
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| agents/openai.yaml | 341 B | application/yaml |
| assets/bigdata-icon-black.svg | 3.2 KB | text/plain |
| assets/report-template.md | 2.3 KB | text/markdown |
| README.md | 1.3 KB | text/markdown |
| SKILL.md | 4.1 KB | text/markdown |
Source and attribution
Source:Bigdata-com/bigdata-plugins-marketplaceinplugins/bigdata-com/skills/bigdata-regional-comparisonat commit2a52a00
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from Bigdata-com/bigdata-plugins-marketplace
Bigdata Thematic Research
Bigdata-com
Researches a cross-sector macro investment theme using Bigdata.com data and produces a cited thematic report with implementable ideas.
Bigdata Sector Playbook
Bigdata-com
Builds an investment playbook for a sector, covering KPIs, valuation methods, debates, screening criteria and an actionable setup.
Bigdata Sector Analysis
Bigdata-com
Analyzes a single market sector using Bigdata.com data, covering performance, valuations, cycle positioning, catalysts and a positioning call.
Bigdata Quick Take
Bigdata-com
Produces a one-page PM-style quick take on a stock using Bigdata.com data, with a view, drivers, risks and next catalyst.
Bigdata Pre Ipo Analysis
Bigdata-com
Produces a balanced pre-IPO research note on an upcoming listing using S-1/F-1 filings and Bigdata.com data.
Bigdata Post Ipo Day365
Bigdata-com
Write a day-365 post-IPO note on the 366-day founder and significant-investor lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data. Covers the staggered lock-up structure from the prospectus, float expansion math and days-to-trade, the offsetting float-adjusted index reweight demand netted against new supply, a realistic read on whether founders actually sell, the dual-class governance angle, and a two-sided setup. Balanced, no buy/avoid call. Triggers: "366-day lock-up for X", "founder lock-up expiry", "float expansion for X", "post-IPO one year lockup", "index reweight after float increase", "founder selling after IPO".
More in Business & Finance
Gke Cost Optimization
Guides GKE cost reduction through rightsizing, Spot VMs, quotas, machine types and committed use discounts.
Google Ads Api Account Diagnostics
Diagnoses Google Ads account performance drops using Google Ads MCP server GAQL queries.
Cost Optimization
microsoft
Analyzes Azure resources to find waste and review Reservations or Savings Plans, recommending cost optimizations.
Cost Governance
microsoft
Governs Azure costs using budgets, alerts, tags, and policy guardrails.
Cost Estimation
microsoft
Forecasts Azure spending and prices planned Azure resources using Azure MCP pricing and forecast tools.
Cost Analysis
microsoft
Analyzes actual Azure spend, bill changes, and AKS or AI service costs using cost query and Resource Graph tools.