Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
Financial-Statement Fraud methodology →
EDGAR forms: 10-K · 10-Q · 8-K · NT 10-K
recall 67% precision 23% + content rule precision 26%
Boiler Room methodology →
EDGAR forms: Form D
recall 50% precision 4%
Cyber Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Insider Trading methodology →
EDGAR forms: 4 · 3 · 5 · 144 · 8-K · 10-Q
recall 81% precision 19%
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%
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Securities Anomalies

Full Corpus Statistics 5,036
SEC/DOJ Heuristics

5,036 documents, 3 sources, 1424.1MB, 1995–2026. 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: insider-trading, pump-and-dump, ponzi, financial-fraud, boiler-room, cyber-fraud contains 5,036 documents clear
SEC 4,709 docs
SEC Litigation Releases / complaint 897 | 1995–2026 | 811.6MB
SEC Litigation Releases / information 1 | 2019 | 352KB
SEC Litigation Releases / judgment 48 | 2019–2026 | 26.9MB
SEC Litigation Releases / litigation release 2,747 | 1995–2026 | 176.1MB
SEC Press Releases / complaint 306 | 2006–2026 | 336.6MB
SEC Press Releases / press release 710 | 1997–2026 | 31.3MB
DOJ 327 docs
DOJ SDNY / indictment 4 | 2013–2024 | 3.3MB
DOJ SDNY / press release 323 | 2013–2026 | 38.0MB
build 1d5f92c · 2026-08-25 · corpus snapshot pinned to this build