Advance-Fee Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Affinity Fraud methodology →
EDGAR forms: Form D
recall 58% precision 2%
Obstruction of Justice methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
Non-Corporate Fraud 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%
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Securities Anomalies

Full Corpus Statistics 1,236
SEC/DOJ Heuristics

1,236 documents, 3 sources, 397.8MB, 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, non-corporate, crypto-securities, affinity-fraud, obstruction, advance-fee contains 1,236 documents clear
SEC 1,102 docs
SEC Litigation Releases / complaint 220 | 1990–2026 | 237.8MB
SEC Litigation Releases / judgment 14 | 2019–2025 | 5.9MB
SEC Litigation Releases / litigation release 467 | 1998–2026 | 30.2MB
SEC Press Releases / complaint 76 | 2010–2025 | 92.9MB
SEC Press Releases / information 1 | 2013 | 304KB
SEC Press Releases / press release 324 | 1994–2026 | 12.8MB
DOJ 134 docs
DOJ SDNY / complaint 1 | 2014 | 535KB
DOJ SDNY / indictment 2 | 2014–2024 | 964KB
DOJ SDNY / judgment 1 | 2014 | 1.2MB
DOJ SDNY / press release 130 | 2013–2026 | 15.3MB
build b23a6a8 · corpus snapshot pinned to this build