FinSight - Financial Analysis Pipeline

End-to-end business intelligence architecture centered around an ETL pipeline to extract, prepare, visualize and analyze 10-40 thousand facts per SEC and EU ESEF filing. I built FinSight as a portfolio project to gather pipeline, data engineering, and analysis experience. And because it's just kind of fun to be honest 😊 Want to analyze a publicly listed company? Give it a go!

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Pipeline Stages

Ingestion: Download 10-K/20-F filings from SEC EDGAR
XBRL Parsing: Extract ALL facts using Arelle (10k-40k per company)
Normalization: Standardize units, currencies, taxonomies (US-GAAP, IFRS)
Validation: Verify accounting identities and cross-statement consistency
Storage: Load into PostgreSQL data warehouse with full provenance
Analysis: Query, visualize, and export for downstream use

Example Analyses

See what FinSight can produce with Apache Superset dashboards built on this pipeline:

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Novo Nordisk - Pharma Industry Analysis

5-year trend analysis, peer comparison, comprehensive financial metrics

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NVIDIA - Tech Sector Analysis

Coming soon

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Apple - Consumer Tech Analysis

Coming soon

Built with Arelle • PostgreSQL • Flask • Next.js • Apache Superset

View source code on GitHub →