Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
Crypto / Digital-Asset Securities methodology →
EDGAR forms: 1-A · S-1 · 8-K
recall 43% precision 2%
Obstruction of Justice methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Health Care Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Investment Adviser Fraud methodology →
EDGAR forms: ADV · ADV-E · ADV-W · Form D
recall 33% precision 13% + content rule precision 10%
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 1,794
SEC/DOJ Heuristics

1,794 documents, 3 sources, 558.9MB, 1998–2026. 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: ponzi, financial-fraud, investment-adviser-fraud, crypto-securities, health-care-fraud, obstruction contains 1,794 documents clear
SEC 1,617 docs
SEC Litigation Releases / complaint 343 | 2000–2026 | 328.8MB
SEC Litigation Releases / judgment 21 | 2003–2026 | 4.9MB
SEC Litigation Releases / litigation release 888 | 1998–2026 | 56.8MB
SEC Press Releases / complaint 118 | 2007–2025 | 133.9MB
SEC Press Releases / press release 247 | 1998–2024 | 10.5MB
DOJ 177 docs
DOJ SDNY / indictment 6 | 2013–2024 | 3.8MB
DOJ SDNY / press release 171 | 2013–2026 | 20.2MB
build 1d5f92c · 2026-08-25 · corpus snapshot pinned to this build