dragonlimited/Dragon-Finance-Equities

Dragon Finance — equities

stored: 970.36 GB · shards: 535 · class: equities · sources: US + global official

Corporate disclosure for US public companies — annual, quarterly and current reports, proxies, registration statements and every attached exhibit.

Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.

Coverage

Issuers	488 listed US companies and growing (crawl in progress)
Period	1999–2026
Filings	10-K, 10-Q, 8-K, DEF 14A, S-1, 13F and /A amendments
Structured financials	SEC Financial Statement and Notes data sets, 2009–2026
Also	insider transactions (Form 3/4/5), 13F holdings, MIDAS market structure, Reg A, full filing index, litigation releases, Federal Register

Size

metric	value
stored	970.36 GB
shards	535
training-ready tokens	5,334.3 M (99.98% of the chunked corpus)

Training-ready text

Measured 2026-11-04 06:12 UTC over 35 of 35 shard(s), 1 counted before its latest append. Tokens use the one convention these cards share - chars / 4 over the chunked text - so each figure is reconcilable against the shards.

source	chunks	text	tokens	share
edgar_complete	13,049,717	15.679 GB	3,919.8 M	73.47%
sec_edgar	2,940,378	5.091 GB	1,272.8 M	23.86%
sec_edgar_full	318,569	0.414 GB	103.5 M	1.94%
federalregister	89,599	0.145 GB	36.2 M	0.68%
sec	8,001	0.006 GB	1.5 M	0.03%
cboe	1,800	0.001 GB	0.2 M	0.00%
sec_xbrl	527	0.000 GB	0.1 M	0.00%
financial-statement-notes-data-sets	578	0.000 GB	0.1 M	0.00%

Class attribution uses the shard path's first segment, so a tier that shares a segment with another class (census, federalreserve, sec) is attributed to its dominant class.

Sources present

source	jurisdiction	data	licence
Cboe	US	volatility indices	public
data/edgar_complete	n/a	n/a	n/a
FINRA	US	rulebook	public
Nasdaq Trader	US	daily open-interest files	public
SEC EDGAR	US	filings + sidecars	US public record
SEC EDGAR complete submissions	US	full filing incl. exhibits	US public record
SEC FinStmt Data Sets	US	quarterly XBRL extracts	US public record
SEC XBRL companyfacts	US	machine-readable GAAP	US public record
Federal Register	US	financial rules and notices	US public record
SEC financial-statement-data-sets	US	SEC bulk data set	US public record
SEC financial-statement-notes-data-sets	US	SEC bulk data set	US public record
SEC insider-transactions-data-sets	US	SEC bulk data set	US public record
IRS	US	Statistics of Income / Form 990	US public record
SEC market-structure-data-security-exchange	US	SEC bulk data set	US public record
SEC MIDAS	US	market structure by security	US public record
progress.png	n/a	n/a	n/a
SEC regulation-data-sets	US	SEC bulk data set	US public record
SEC	US	EDGAR full-index / log files	US public record
US Treasury	US	daily yield curve	public domain

What you can do with it

• Reconstruct an issuer's filing history
• Pull reported figures and footnotes from 10-K/10-Q
• Track insider transactions and institutional 13F holdings
• Screen disclosure across issuers and years

For engineers

Data is stored as tar shards (the hub caps a directory at 10,000 files and these tiers run to millions). Members keep their original names and relative paths.

import tarfile
with tarfile.open("0000.tar") as tf:
    print(tf.getnames()[:5])
    tf.extractall("out/")

shard	size
README.md	7.2 KB
cboe/volatility-indices/0000.tar	1.46 MB
cboe/volatility-indices/0001.tar	450.6 KB
data/edgar_complete/0000.tar	1.74 GB
data/edgar_complete/0001.tar	357.31 MB
data/edgar_complete/0002.tar	2.16 GB

Showing 6 of 535 shards.

Every shard records its sha256 in the pipeline ledgers; shards are append-only, so a resumed run re-uploads only what changed. A shard with a failed member is never marked complete, so missed files are retried rather than dropped.

---

Not advice, no warranty, no endorsement. Compiled from third-party public sources and provided 'as is': derived and model-generated content may be wrong, and source material is routinely restated, amended or superseded. No source agency, exchange or company has reviewed, approved or endorsed this dataset, and none is affiliated with its publisher. Do not use it to re-identify any person, to manipulate any market, or as the sole basis for any decision about any person, entity or instrument. Terms of use: DISCLAIMER.md.