What problem does it solve?
This Skill removes the time-consuming, error-prone work of compiling sell-side style equity research by automating data pulls, validation, charting, valuation, and deliverable generation so users get a reproducible, citation-backed PDF research report and companion DCF model.
Core Features & Use Cases
- End-to-end equity research: pull fundamentals and price history, compute SMAs/RSI, build peer comparables, and synthesize an investment thesis.
- Primary deliverables: professional multi-page PDF research report (fpdf2) and an editable DCF Excel model (openpyxl) generated in parallel.
- Robust data sourcing & validation: yfinance with retry logic, SEC EDGAR cross-checks, web research for news/analyst reports, and explicit "data unavailable" flags.
- Optional investor profiling: tailor language, suitability tags, and suggested allocations if the user opts in.
- Compliance-first output: automatic cover-page disclaimer, final-page legal disclaimer, and language guardrails to avoid directive investment advice.
- Use Case: produce a single-stock initiation note with valuation, bull/bear cases, catalysts, technical context, and a peer comparison table, or run a multi-company thematic screen with consistent comparables.
Quick Start
Ask the skill to analyze a ticker (for example, "Analyze AAPL and produce a professional PDF research report with valuation, peer comparison, and a companion DCF Excel model").