Affinity Fraud methodology →
EDGAR forms: Form D
recall 58% precision 2%
Accounting / Disclosure Fraud methodology →
EDGAR forms: 10-K · 10-Q · 8-K · NT 10-K · NT 10-Q
recall 80% precision 48% + content rule precision 50%
Broker-Dealer Fraud methodology →
EDGAR forms: Form D
recall 29% precision 9%
Racketeering / RICO methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Pre-IPO Fraud methodology →
EDGAR forms: S-1 · Form D · 1-A
recall 72% precision 8% + content rule precision 0%
Ponzi methodology →
EDGAR forms: Form D
recall 35% precision 15% + content rule precision 0%
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Securities Anomalies

Full Corpus Statistics 1,813
SEC/DOJ Heuristics

1,813 documents, 3 sources, 588.7MB, 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, accounting-fraud, broker-dealer-fraud, pre-ipo-fraud, affinity-fraud, racketeering contains 1,813 documents clear
SEC 1,664 docs
SEC Litigation Releases / complaint 385 | 1990–2026 | 350.0MB
SEC Litigation Releases / judgment 41 | 2011–2026 | 26.1MB
SEC Litigation Releases / litigation release 907 | 1998–2026 | 58.4MB
SEC Press Releases / complaint 116 | 2004–2025 | 124.1MB
SEC Press Releases / judgment 2 | 2018–2020 | 224KB
SEC Press Releases / press release 213 | 1999–2025 | 9.2MB
DOJ 149 docs
DOJ SDNY / complaint 1 | 2014 | 2.8MB
DOJ SDNY / indictment 2 | 2014 | 771KB
DOJ SDNY / press release 146 | 2013–2026 | 17.2MB
build 1d5f92c · 2026-08-25 · corpus snapshot pinned to this build