Affinity Fraud methodology →
EDGAR forms: Form D
recall 58% precision 2%
Crypto / Digital-Asset Securities methodology →
EDGAR forms: 1-A · S-1 · 8-K
recall 43% precision 2%
Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
Obstruction of Justice 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%
Racketeering / RICO methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Cyber Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
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Securities Anomalies

Full Corpus Statistics 3,562
SEC/DOJ Heuristics

3,562 documents, 3 sources, 1008.2MB, 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: insider-trading, ponzi, crypto-securities, affinity-fraud, obstruction, cyber-fraud, racketeering contains 3,562 documents clear
SEC 3,263 docs
SEC Litigation Releases / complaint 674 | 1990–2026 | 585.1MB
SEC Litigation Releases / judgment 18 | 2021–2026 | 8.5MB
SEC Litigation Releases / litigation release 1,866 | 1995–2026 | 119.3MB
SEC Press Releases / complaint 224 | 2006–2026 | 235.4MB
SEC Press Releases / press release 481 | 1997–2026 | 22.1MB
DOJ 299 docs
DOJ SDNY / indictment 4 | 2013–2024 | 3.0MB
DOJ SDNY / press release 295 | 2013–2026 | 34.7MB
build 1d5f92c · 2026-08-25 · corpus snapshot pinned to this build