Affinity Fraud methodology →
EDGAR forms: Form D
recall 58% precision 2%
FCPA Violation methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Crypto / Digital-Asset Securities methodology →
EDGAR forms: 1-A · S-1 · 8-K
recall 43% precision 2%
Pump-and-Dump methodology →
EDGAR forms: S-8 · S-1 · 424B · 8-K · 4 · SC 13D/G · Form 10 · 15-12G
recall 69% precision 12% + content rule precision 50%
Advance-Fee Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Financial-Statement Fraud methodology →
EDGAR forms: 10-K · 10-Q · 8-K · NT 10-K
recall 67% precision 23% + content rule precision 26%
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Securities Anomalies

Full Corpus Statistics 1,722
SEC/DOJ Heuristics

1,722 documents, 3 sources, 558.9MB, 1990–2026. Filtered to securities-fraud signals (pump-dump · unregistered · ticker · manipulation · reverse-merger · boiler-room · shell · microcap · penny-stock · insider).

All 9,614 insider-trading 2,591 unregistered-securities 1,828 pump-and-dump 1,004 ponzi 759 market-manipulation 675 accounting-fraud 582 financial-fraud 498 investment-adviser-fraud 348 non-corporate 260 broker-dealer-fraud 249 pre-ipo-fraud 168 boiler-room 167 corporate-fraud 139 crypto-securities 110 affinity-fraud 52 health-care-fraud 49 fcpa 33 obstruction 30 public-corruption 27 advance-fee 25 cyber-fraud 17 racketeering 3
Selected scheme types: pump-and-dump, financial-fraud, crypto-securities, affinity-fraud, fcpa, advance-fee contains 1,722 documents clear
SEC 1,631 docs
SEC Litigation Releases / complaint 293 | 1990–2026 | 322.8MB
SEC Litigation Releases / information 1 | 2019 | 352KB
SEC Litigation Releases / judgment 34 | 2019–2026 | 19.3MB
SEC Litigation Releases / litigation release 910 | 1997–2026 | 58.6MB
SEC Press Releases / complaint 107 | 2007–2024 | 133.5MB
SEC Press Releases / press release 286 | 1998–2024 | 12.6MB
DOJ 91 docs
DOJ SDNY / indictment 2 | 2024 | 1.3MB
DOJ SDNY / press release 89 | 2013–2026 | 10.5MB
build b23a6a8 · corpus snapshot pinned to this build