docs(README): 7개 public 카테고리별 설명 + KRX/prices 신규 추가

README.md

@@ -3,6 +3,7 @@ license: mit
 task_categories:
   - table-question-answering
   - text-classification
+  - time-series-forecasting
 language:
   - ko
   - en
@@ -16,11 +17,14 @@ tags:
   - korea
   - financial-statements
   - corporate-filings
+  - krx
+  - ohlcv
+  - market-data
   - 전자공시
   - 재무제표
   - 사업보고서
   - 한국
-pretty_name: DartLab 전자공시 데이터
+pretty_name: DartLab 전자공시 + 시장 데이터
 size_categories:
   - 1K<n<10K
 ---
@@ -33,8 +37,8 @@ size_categories:
 
 <h3>DartLab Data</h3>
 
-<p><b>Structured company data from DART & EDGAR disclosure filings</b></p>
-<p>DART 전자공시 + EDGAR 공시 데이터 — 한국 2,700사 / 미국 970사</p>
+<p><b>Structured company data + market data from DART, EDGAR, KRX</b></p>
+<p>한국 DART 공시 + 미국 SEC EDGAR 공시 + KRX 시장 데이터 — 한 dataset, 여러 카테고리</p>
 
 <p>
 <a href="https://github.com/eddmpython/dartlab"><img src="https://img.shields.io/badge/GitHub-dartlab-ea4647?style=for-the-badge&labelColor=050811&logo=github&logoColor=white" alt="GitHub"></a>
@@ -49,72 +53,196 @@ size_categories:
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-study.png" width="120">
 
-Pre-collected [Parquet](https://parquet.apache.org/) files from [DartLab](https://github.com/eddmpython/dartlab) — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map.
+Pre-built [Parquet](https://parquet.apache.org/) files from [DartLab](https://github.com/eddmpython/dartlab) — a Python library that turns DART (Korea), EDGAR (US), and KRX disclosure & market data into one structured company map.
 
-한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다.
+한국 DART 전자공시 + 미국 SEC EDGAR 공시 + KRX 거래소 일별 시장 데이터를 동일한 SSOT 로 묶은 데이터셋.
 
-This dataset is the **data layer** behind DartLab. When you run `dartlab.Company("005930")`, the library automatically downloads the relevant parquet from this repo.
+This dataset is the **data layer** behind DartLab. When you run `dartlab.Company("005930")` or `dartlab.gather("krx", "close")`, the library auto-downloads the relevant parquet from this repo — no API key, no manual collection.
 
-## Dataset Structure
+## Datasets
 
-```
-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)
-```
+7 public categories — each lives at its own subdirectory and is consumed by a specific dartlab engine.
 
-Each file is one company: `{stockCode}.parquet`
+| Category | Path | Coverage | Engine |
+|---|---|---|---|
+| [dart/docs](#dartdocs--dart-disclosure-text) | `dart/docs/` | 2,547 KR companies, ~8 GB | `Company.show("section")` |
+| [dart/finance](#dartfinance--dart-financial-statements) | `dart/finance/` | 2,744 KR companies, ~586 MB | `Company.show("BS"/"IS"/"CF")` |
+| [dart/report](#dartreport--dart-structured-disclosure-apis) | `dart/report/` | 2,711 KR companies, ~319 MB | `Company.report()` (28 APIs) |
+| [dart/scan](#dartscan--cross-sectional-pre-built) | `dart/scan/` | KR cross-sectional | `dartlab.scan("...")` |
+| [edgar/docs](#edgardocs--edgar-disclosure-text) | `edgar/docs/` | 970 US companies | `Company.show("section")` (US) |
+| [krx/prices](#krxprices--krx-daily-ohlcv-new) ★ | `krx/prices/` | 1995~today, 17 yearly parquets | `gather("krx", target)` |
+| [landing/map](#landingmap--industry-map-json) | `landing/map/` | KR industry graph | `dartlab.industry()` |
 
-### docs — Disclosure Text
+---
 
-Full-text sections from annual/quarterly reports, parsed into structured blocks.
+### dart/docs — DART Disclosure Text
+
+Full-text sections from Korean annual/quarterly reports, parsed into structured blocks.
 
 | Column | Description |
-|--------|------------|
+|---|---|
 | `rcept_no` | DART filing ID |
 | `rcept_date` | Filing date |
-| `stock_code` | Stock code |
+| `stock_code` | Stock code (6-digit) |
 | `corp_name` | Company name |
 | `report_type` | Annual/quarterly report type |
-| `section_title` | Original section title |
+| `section_title` | Original section title (한글) |
 | `section_order` | Section ordering |
 | `content` | Section text (markdown) |
 | `blockType` | `text` / `table` / `heading` |
 | `year` | Filing year |
 
-### finance — Financial Statements
+**File**: `dart/docs/{stockCode}.parquet` — one file per company.
 
-XBRL-based financial data from DART OpenAPI (`fnlttSinglAcntAll`).
+---
+
+### dart/finance — DART Financial Statements
+
+XBRL-based financial data from DART OpenAPI (`fnlttSinglAcntAll`). BS/IS/CF/SCE × 분기/연간.
 
 | Column | Description |
-|--------|------------|
+|---|---|
 | `bsns_year` | Business year |
 | `reprt_code` | Report quarter code |
 | `stock_code` | Stock code |
 | `corp_name` | Company name |
 | `fs_div` | `CFS` (consolidated) / `OFS` (separate) |
 | `sj_div` | Statement type (BS/IS/CF/SCE) |
-| `account_id` | XBRL account ID |
-| `account_nm` | Account name (Korean) |
+| `account_id` | XBRL account ID (~97% mapped to standard names) |
+| `account_nm` | Account name (한글) |
 | `thstrm_amount` | Current period amount |
 | `frmtrm_amount` | Prior period amount |
 | `bfefrmtrm_amount` | Two periods prior amount |
 
-### report — Structured Disclosure APIs
+**File**: `dart/finance/{stockCode}.parquet` — one file per company.
 
-28 DART API categories covering governance, compensation, shareholding, and more.
+---
+
+### dart/report — DART Structured Disclosure APIs
+
+28 DART API categories covering governance, compensation, shareholding, capital changes, audit opinions, and more.
 
 | Column | Description |
-|--------|------------|
+|---|---|
 | `apiType` | API category (e.g., `dividend`, `employee`, `executive`) |
-| `year` | Year |
-| `quarter` | Quarter |
+| `year` / `quarter` | Reporting period |
 | `stockCode` | Stock code |
 | `corpCode` | DART corp code |
 | *(varies)* | Category-specific columns |
 
-**28 API types:** dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and more.
+**28 API types**: dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and 18 more.
+
+**File**: `dart/report/{stockCode}.parquet` — one file per company.
+
+---
+
+### dart/scan — Cross-Sectional Pre-Built
+
+Pre-computed cross-sectional aggregates across all KR listed companies (governance ratios, cash-flow patterns, financial ratios, etc.) — for ranking/screening without per-company iteration.
+
+| Subcategory | Content |
+|---|---|
+| `dart/scan/governance/` | Board structure, related-party, ownership concentration |
+| `dart/scan/financial/` | Pre-computed ratios (ROE, debt-to-equity, ...) |
+| `dart/scan/cashflow/` | Operating/investing/financing patterns |
+
+**Engine**: `dartlab.scan("governance/...")` — one call returns all-company DataFrame.
+
+---
+
+### edgar/docs — EDGAR Disclosure Text
+
+Full-text sections from US annual/quarterly reports (10-K, 10-Q, 8-K, ...), parsed into the same structure as `dart/docs`. Same library API works for both markets.
+
+**File**: `edgar/docs/{ticker}.parquet`.
+
+---
+
+### krx/prices — KRX Daily OHLCV ★ NEW
+
+Daily OHLCV + market cap + listed shares for **all KRX-listed companies (KOSPI + KOSDAQ)**, raw long parquet from KRX OpenAPI.
+
+| Column | Description | Unit |
+|---|---|---|
+| `BAS_DD` | Trade date (YYYYMMDD) | string |
+| `ISU_CD` | Stock code (6-digit) | string |
+| `ISU_NM` | Stock name | string |
+| `MKT_NM` / `SECT_TP_NM` | Market / sector | string |
+| `TDD_OPNPRC` / `TDD_HGPRC` / `TDD_LWPRC` / `TDD_CLSPRC` | Open / High / Low / Close | KRW |
+| `ACC_TRDVOL` / `ACC_TRDVAL` | Volume / Amount | shares / KRW |
+| `MKTCAP` | Market cap | KRW |
+| `LIST_SHRS` | Listed shares | shares |
+| `FLUC_RT` / `CMPPREVDD_PRC` | Daily change rate / price | % / KRW |
+
+**Coverage**: 1995-01-04 ~ today (17 yearly partitions: `raw-1995.parquet` ~ `raw-2026.parquet`).
+**Update**: every weekday at KST 17:00 (after market close + settlement). Auto gap-fill if any cron run is missed.
+**Engine**: `gather("krx", target, ...)` — pivot to wide (rows = stockCode, cols = date) on demand. Adjusted prices (split/bonus/rights) auto-applied via price-series detection (CRSP backward chaining).
+
+```python
+import dartlab
+dartlab.gather("krx", "close", start="2025-01-01", end="2025-06-30")  # close-price wide
+dartlab.gather("krx", "rsi14", start="2025-01-01")                    # 30+ technical indicators
+dartlab.gather("krx", "marketCap", start="2025-06-30")                # market cap snapshot
+```
+
+**No API key needed** — engine reads HF directly. (KRX OpenAPI key is only for operator cron building this dataset.)
+
+---
+
+### landing/map — Industry Map JSON
+
+Pre-built industry graph (nodes + edges) for the Korean market — companies × processes × supply-chain edges. Powers the `/map` interactive industry visualization.
+
+**Engine**: `dartlab.industry()` / `c.industry()`.
+
+---
+
+## Usage
+
+```python
+import dartlab
+
+# 1. Korean company — auto-downloads dart/docs + dart/finance + dart/report
+c = dartlab.Company("005930")
+c.show("BS")                     # balance sheet (dart/finance)
+c.show("businessOverview")       # business section text (dart/docs)
+c.report("dividend")             # dividend history (dart/report)
+
+# 2. US company — same API, edgar/docs auto
+us = dartlab.Company("AAPL")
+us.show("IS")
+
+# 3. KRX market data — no API key, HF auto
+df = dartlab.gather("krx", "close", start="2024-01-01", end="2024-12-31")  # 1-year wide DataFrame
+
+# 4. Cross-sectional scan
+ranked = dartlab.scan("governance/dividend")  # all KR companies, sorted
+
+# 5. Natural language
+dartlab.ask("삼성전자 재무건전성 분석해줘")
+```
+
+**No API key, no setup** — `pip install dartlab` and the library auto-downloads from this dataset, with local caching.
+
+## Data Source
+
+- **DART** (Korea): [dart.fss.or.kr](https://dart.fss.or.kr) — Financial Supervisory Service's electronic disclosure system
+- **EDGAR** (US): [sec.gov/edgar](https://www.sec.gov/edgar) — SEC's Electronic Data Gathering, Analysis, and Retrieval system
+- **KRX** (Korea): [openapi.krx.co.kr](https://openapi.krx.co.kr) — Korea Exchange OpenAPI (daily OHLCV + market cap + shares)
+
+All data sourced from public/government systems. Numeric figures preserved as-is from the original source — no rounding, no estimation, no interpolation. Adjusted prices computed at use time (raw + events SSOT).
+
+## Update Schedule
+
+| Category | Cadence | Trigger |
+|---|---|---|
+| `dart/docs`, `dart/finance`, `dart/report` | Daily incremental + weekly full sync | GitHub Actions (DART) |
+| `dart/scan` | Daily after dart/finance update | GitHub Actions |
+| `edgar/docs` | Daily incremental | GitHub Actions (EDGAR) |
+| `krx/prices` | Every weekday at KST 17:00 (T-0 same-day, auto gap-fill) | GitHub Actions (KRX) |
+| `landing/map` | On industry-map source change | GitHub Actions (map build) |
+
+Recent 7-day filings checked incrementally; full re-sync on schema changes.
 
 ## Learn More
 
@@ -137,26 +265,6 @@ DartLab auto-downloads from this dataset — one stock code gives you the full c
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-discover.png" width="120">
 
-## Data Source
-
-- **DART** (Korea): [dart.fss.or.kr](https://dart.fss.or.kr) — Korea's electronic disclosure system operated by the Financial Supervisory Service
-- **EDGAR** (US): [sec.gov/edgar](https://www.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
 
-MIT — same as [DartLab](https://github.com/eddmpython/dartlab).
-
-## Support
-
-If DartLab is useful for your work, consider supporting the project:
-
-[![Buy Me A Coffee](https://img.shields.io/badge/Buy_Me_A_Coffee-Support-ffdd00?style=for-the-badge&labelColor=050811&logo=buy-me-a-coffee&logoColor=white)](https://buymeacoffee.com/eddmpython)
-
-- [GitHub Issues](https://github.com/eddmpython/dartlab/issues) — bug reports, feature requests
-- [Blog](https://eddmpython.github.io/dartlab/blog/) — 120+ articles on Korean disclosure analysis
+Dataset content licensed MIT. Underlying source data is governed by each source's terms (DART, SEC EDGAR, KRX OpenAPI). See [data source attribution](#data-source).