trading-data

What is this?

Pre-collected Parquet files from DartLab — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map.

한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다.

This dataset is the data layer behind DartLab. When you run dartlab.Company("005930"), the library automatically downloads the relevant parquet from this repo.

Dataset Structure

dart/
├── docs/          2,547 companies  ~8 GB      disclosure text (sections, tables, markdown)
├── finance/       2,744 companies  ~586 MB    financial statements (BS, IS, CF, XBRL)
└── report/        2,711 companies  ~319 MB    structured disclosure APIs (28 types)

Each file is one company: {stockCode}.parquet

docs — Disclosure Text

Full-text sections from annual/quarterly reports, parsed into structured blocks.

finance — Financial Statements

XBRL-based financial data from DART OpenAPI (fnlttSinglAcntAll).

report — Structured Disclosure APIs

28 DART API categories covering governance, compensation, shareholding, and more.

28 API types: dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and more.

Learn More

DartLab auto-downloads from this dataset — one stock code gives you the full company map. Start with the intro below.

• GitHub — github.com/eddmpython/dartlab
• Intro blog — DartLab 시작하기 / Getting started
• Docs — eddmpython.github.io/dartlab
• YouTube — @eddmpython

Data Source

• DART (Korea): dart.fss.or.kr — Korea's electronic disclosure system operated by the Financial Supervisory Service
• EDGAR (US): sec.gov/edgar — SEC's Electronic Data Gathering, Analysis, and Retrieval system

All data is sourced from public government disclosure systems. Financial figures are preserved as-is from the original filings — no rounding, no estimation, no interpolation.

Update Schedule

This dataset is updated automatically via GitHub Actions (daily). Recent filings (last 7 days) are checked and collected incrementally.

License

Apache 2.0 — same as DartLab.

Support

If DartLab is useful for your work, consider supporting the project:

• GitHub Issues — bug reports, feature requests
• Blog — 120+ articles on Korean disclosure analysis