Crypto / Digital-Asset Securities methodology →
EDGAR forms: 1-A · S-1 · 8-K
recall 43% precision 2%
Racketeering / RICO methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
FCPA Violation methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Affinity Fraud methodology →
EDGAR forms: Form D
recall 58% precision 2%
Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
Boiler Room methodology →
EDGAR forms: Form D
recall 50% precision 4%
Investment Adviser Fraud methodology →
EDGAR forms: ADV · ADV-E · ADV-W · Form D
recall 33% precision 13% + content rule precision 10%
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Securities Anomalies

Full Corpus Statistics 1,472
SEC/DOJ Heuristics

1,472 documents, 3 sources, 519.2MB, 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: ponzi, investment-adviser-fraud, boiler-room, crypto-securities, affinity-fraud, fcpa, racketeering contains 1,472 documents clear
SEC 1,308 docs
SEC Litigation Releases / complaint 292 | 1990–2026 | 285.4MB
SEC Litigation Releases / judgment 8 | 2003–2026 | 2.2MB
SEC Litigation Releases / litigation release 698 | 1998–2026 | 44.7MB
SEC Press Releases / complaint 110 | 2010–2025 | 156.0MB
SEC Press Releases / press release 200 | 1997–2024 | 9.1MB
DOJ 164 docs
DOJ SDNY / indictment 5 | 2013–2024 | 3.0MB
DOJ SDNY / press release 159 | 2013–2026 | 18.7MB
build 1d5f92c · 2026-08-25 · corpus snapshot pinned to this build