Weekly forensic screen
200+ microcap names filtered for termination risk (officer-share band), board quality (prominent backer presence), and insider cluster buying (open-market buys, multi-insider, 180-day window).

Forensic microcap research. 200+ tickers screened weekly for dilution, runway, and gatekeeper red flags — with cited deep-dive on any name.
Penny Picks is forensic research for the microcap universe — the part of the market where retail investors get burned most often by dilution, undisclosed conflicts, and gatekeeper-syndicate patterns. A weekly screener filters 200+ tickers across termination risk, board quality, and insider cluster buying. Click any name for a 16-node forensic deep-dive with cited evidence — and a tier-labeled verdict that's honest about what it does and doesn't know.
What makes it different: 16-node forensic framework. Verdicts grade evidence honestly — validated drivers vs. mechanism-only commentary vs. tested-null context.
200+ microcap names filtered for termination risk (officer-share band), board quality (prominent backer presence), and insider cluster buying (open-market buys, multi-insider, 180-day window).
LLM agent walks a structured framework: dilution history, runway months, gatekeeper syndicates, insider trades, board composition. Every finding is cited with a verbatim quote and source.
For every published verdict, probability of bad outcome AND probability of >2.5× return at 1y/2y/3y. Avoid buckets show 'upside not measured' rather than fabricating an outlook.
Validated drives the verdict (backtested). Mechanism-only is cited LLM commentary. Tested-null is structured context that didn't predict in backtest. Each labeled visibly.
Verdict pill + outlook bar + 16-card forensic dossier. Each card: question, answer (with abstention support), severity, timing, cited evidence, grade.
Upside not measured for avoid buckets
Microcap forensics is where signal honesty matters most — and where most tools fail.
Sign in to the portal and pull a dossier on any ticker in the universe.