Health Care Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
Financial-Statement Fraud methodology →
EDGAR forms: 10-K · 10-Q · 8-K · NT 10-K
recall 67% precision 23% + content rule precision 26%
Investment Adviser Fraud methodology →
EDGAR forms: ADV · ADV-E · ADV-W · Form D
recall 33% precision 13% + content rule precision 10%
Cyber Fraud methodology →
No EDGAR filing fingerprint — criminal/DOJ-side scheme, detected from case text.
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%
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Securities Anomalies

Full Corpus Statistics 1,494
SEC/DOJ Heuristics

1,494 documents, 3 sources, 405.1MB, 1998–2026. 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: accounting-fraud, financial-fraud, investment-adviser-fraud, health-care-fraud, cyber-fraud contains 1,494 documents clear
SEC 1,385 docs
SEC Litigation Releases / complaint 267 | 1998–2026 | 235.6MB
SEC Litigation Releases / judgment 37 | 2003–2026 | 9.6MB
SEC Litigation Releases / litigation release 777 | 1998–2025 | 49.9MB
SEC Press Releases / complaint 84 | 2004–2023 | 82.9MB
SEC Press Releases / judgment 2 | 2018–2020 | 224KB
SEC Press Releases / press release 218 | 1998–2024 | 8.9MB
DOJ 109 docs
DOJ SDNY / complaint 1 | 2014 | 2.8MB
DOJ SDNY / indictment 4 | 2013–2024 | 2.9MB
DOJ SDNY / press release 104 | 2013–2026 | 12.3MB
build b23a6a8 · corpus snapshot pinned to this build