Public data · refreshed daily
The people who move stocks leave a paper trail — in SEC filings, congressional disclosures and FDA dockets. ClawTerminal reads all of it. Here's a live slice of what the terminal sees today.
8-K material events, ranked by the move they triggered — earnings, catalysts, executive exits. Reverse-split and ETF-split artifacts filtered out.
Recent purchases disclosed by sitting members of Congress. Surfaced on the publish date — the moment it became public.
13D filings flag investors crossing 5% with intent to influence — the classic activist / strategic-control footprint.
Cluster buys — three or more distinct insiders purchasing the same name in one week. The highest-conviction read on Form 4. PIPE / issuance artifacts filtered out.
Drug approvals and label expansions — the single cleanest binary catalyst feed for biotech and pharma names.
Every US ETF with fees, AUM, returns and full risk analytics. Sorted by trailing 1-year return — but the drawdown column is where the leverage shows its teeth.
Mean-variance with James-Stein + Ledoit-Wolf shrinkage, solved under long-only, weight-capped constraints. The same risk engine behind every saved portfolio.
The engine flags its own bias: max-Sharpe fits the in-sample tangency portfolio and tends to overfit out-of-sample — min-variance and risk-parity are the more robust objectives. Shown here as the most legible demo.
Everything on this page is one query out of 161 tools. Connect Claude, ChatGPT or your own agent and ask the data anything — cross-surface, in plain language.