PEA Analysis
European equity research with Python and Next.js
Next.js, TypeScript, FastAPI, Python, PostgreSQL, Polars, Redis
Financial research with source provenance
PEA Analysis is a personal research prototype for screening European equities, comparing financial ratios and exploring portfolio allocations. Each metric retains its data source and quality status.
Ingestion and analysis behind the interface
A Next.js interface queries a FastAPI backend. PostgreSQL stores company identities, financial facts and a searchable catalogue. Background workers ingest and transform data, while immutable source responses are retained in object storage.
Explainable comparisons
The analysis distinguishes company profiles and peer groups rather than applying one ratio model to every business. Portfolio research includes allocation constraints and risk analysis. The project is a private research MVP, not a publicly offered investment service.