QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 00:32 UTC · Public disclosure record

Trading network Who trades the same niche stocks?

One member buying a widely-held stock is noise. But when the same small group keeps turning up in the same niche stocks — names only a handful of people in Congress trade — that recurring overlap is a pattern worth seeing. Each member is a node; a line joins two who share niche tickers (traded by 12 members or fewer). The lines that matter most are gold: those join a Democrat and a Republican who keep buying the same obscure names.

70members mapped
1357shared-stock ties
629cross-party ties
Democrat Republican Other cross-party tie same-party tie Hover a member to isolate their ties · scroll to zoom · drag to pan · click to open a profile

Most-connected members

The hubs of the graph — ranked by how many shared-niche-stock ties they have to other members.

  1. Gilbert Cisneros House · 1948 connections
  2. Thomas MacArthur House · 1536 connections
  3. Alan Armstrong Senate · 1524 connections
  4. Daniel Goldman House · 1512 connections
  5. Josh Gottheimer House · 1333 connections
  6. Rohit Khanna House · 1295 connections
  7. Lisa McClain House · 1081 connections
  8. Lois Frankel House · 959 connections
  9. Greg Gianforte House · 956 connections
  10. Rob Bresnahan House · 909 connections
  11. Susie Lee House · 880 connections
  12. Michael Conaway House · 796 connections

Co-activity, not collusion. Shared trading in the same stocks has many innocent explanations — the same news, the same advisor, the same widely-recommended idea, or coincidence. This graph makes no claim that linked members coordinate or communicate; it only shows where the overlap is unusually concentrated, so the question can be asked in the open. A planned future version may add shared committees and campaign-finance ties. See also consensus clusters and the Leakage Index.

About this data. Sourced from official House Clerk and Senate eFD financial disclosures (Senate via a maintained community mirror — see project documentation). Transaction amounts are reported as ranges, not exact figures. Interest scores, consensus labels, and backtested performance are proprietary analytical calculations based on public data and are not investment advice. Backtested performance is a hypothetical simulation, not actual portfolio performance.