The Biggest Cluster Buys in Congress Right Now
As of October 27, 2026, the largest buy cluster in Congress is MSFT: 4 members disclosed purchases with trade dates Aug 3, 2026 to Sep 30, 2026, a combined disclosed range of $819K–$1.7M. Over the trailing 90 days, 9 stocks were bought by 3 or more members. Rohit Khanna is in every one of them; set that member aside and 2 stocks are left.
Key numbers
- The largest buy cluster in Congress is MSFT: 4 members disclosed 8 purchases with trade dates August 3, 2026 to September 30, 2026 (trailing 90 days to October 27, 2026).
- 9 stocks were bought by 3 or more members of Congress and 25 stocks were sold by 3 or more, out of 263 stocks bought and 293 sold by at least one member (trade dates July 29, 2026 to October 27, 2026, 3 or more members per stock).
- 26 members of Congress disclosed 469 stock purchases and 30 disclosed 643 stock sales with trade dates July 29, 2026 to October 27, 2026 (ticker-listed assets, members counted per person).
- Rohit Khanna is in all 9 congressional buy clusters and reported 330 of the 469 purchases (70.4%); with that member set aside, 2 stocks still had 3 or more buyers, MSFT and TSM (trade dates July 29, 2026 to October 27, 2026, 3 or more members per stock).
- On the sell side, Rohit Khanna is in 22 of the 25 sell clusters and reported 309 of the 643 sales (48.1%); with that member set aside, 14 stocks still had 3 or more sellers (trade dates July 29, 2026 to October 27, 2026, 3 or more members per stock).
- All 9 congressional buy clusters include both a Democrat and a Republican, and 5 stocks (HD, MSFT, NFLX, NVDA and PG) had a cluster on both sides, bought by 3 or more members and sold by 3 or more (trade dates July 29, 2026 to October 27, 2026, 3 or more members per stock).
One member of Congress buying a stock is an anecdote. Several members buying the same stock inside the same few weeks is a pattern, and it is one of the four factors in Coldpine’s signal score. We call it a cluster: at least 3 distinct members trading the same ticker in the same direction within a rolling 90-day window, computed from STOCK Act filings. How each figure is computed is set out in the methodology and in the notes at the end.
How much rests on one member
A cluster counts members, not trades, so one very active filer can still sit in many of them. Rohit Khanna reported 330 of the 469 ticker-listed purchases in the window (70.4%) and is one of the buyers in all 9 buy clusters. With that member left out, 2 stocks still have 3 or more buyers: MSFT and TSM. The sell side is broader: Rohit Khanna is in 22 of the 25 sell clusters, and 14 stocks remain without that member. The full trading record for every member is on the most active traders ranking.
The SpaceX IPO cluster
When this page was first published in late August 2026, the largest buy cluster was SpaceX. Those June purchases have since aged out of the trailing 90-day window. Space Exploration Technologies went public as SPCX on June 12, 2026, and five House members, from both parties, disclosed purchases dated June 12 to June 15: the IPO window itself. The accounts vary (self, spouse, and in one case a dependent child), and the individual buys range from $1,001 up to the $50,001–$100,000 band. We wrote up who owned SpaceX before the IPO in Which Members of Congress Own SpaceX? That cluster was the after-picture: the IPO turned a private stake held by a couple of members into a name five members bought in four days.
Every active buy cluster
Buy clusters with at least 3 distinct members in the trailing 90 days, ranked by member count, then combined disclosed volume. Amounts are sums of the range bounds members disclose, so read them as brackets, not point estimates.
| # | Ticker | Members | Buys | Window | Disclosed range |
|---|---|---|---|---|---|
| 1 | MSFT Cleo Fields, Josh Gottheimer, Lisa McClain, Rohit Khanna | 4 | 8 | Aug 3 → Sep 30 | $819K–$1.7M |
| 2 | TSM Cleo Fields, Michael T. McCaul, Richard W. Allen, Rohit Khanna | 4 | 4 | Aug 12 → Oct 9 | $4K–$60K |
| 3 | ACN Michael T. McCaul, Rohit Khanna, Scott Franklin | 3 | 5 | Aug 10 → Aug 28 | $103K–$245K |
| 4 | AVGO David J. Taylor, Richard W. Allen, Rohit Khanna | 3 | 4 | Aug 3 → Aug 26 | $18K–$95K |
| 5 | HD David J. Taylor, Lloyd Doggett, Rohit Khanna | 3 | 4 | Sep 4 → Sep 22 | $18K–$95K |
| 6 | BRK.B Maria Elvira Salazar, Richard Dean McCormick, Rohit Khanna | 3 | 6 | Jul 30 → Sep 18 | $6K–$90K |
| 7 | NVDA Cleo Fields, John J McGuire, Rohit Khanna | 3 | 5 | Aug 18 → Oct 1 | $5K–$75K |
| 8 | PG David J. Taylor, Lloyd Doggett, Rohit Khanna | 3 | 5 | Aug 11 → Sep 25 | $5K–$75K |
| 9 | NFLX Byron Donalds, Cleo Fields, Rohit Khanna | 3 | 4 | Aug 12 → Sep 14 | $4K–$60K |
The other side of the ledger
Buys are not the whole picture. The single largest cluster in the current window is actually a sell: MSFT, where 8 members disclosed sales between Jul 30 and Oct 2. Mega-cap names like Microsoft and Apple sit in many congressional portfolios, so they cluster on both sides more or less permanently; the informative clusters tend to be the narrower names that several members converge on at once. The full flow, buys and sells side by side, is on the Congress flow page.
Methodology and honest caveats
A cluster is at least 3 distinct members trading one ticker in one direction inside a trailing 90-day window anchored to the latest transaction date in our database. Dollar figures sum the low and high bounds of the ranges members disclose; exact amounts are not public. Because members have up to 45 days to disclose (and some take far longer), clusters surface weeks after the trades happen, and recent weeks are always undercounted. A few very active traders appear in many clusters at once, which is why we count distinct members rather than transactions, and we deduplicate the handful of members our roster carries under two name spellings. Figures on this page are computed live and update as new filings arrive.
Cluster detection runs continuously on every new filing, and cluster membership feeds each trade’s signal score.
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Coldpine is a publisher of intelligence on public Congressional disclosures. Clusters describe disclosed trading activity only; they are not evidence of coordination or wrongdoing by any member. This is informational only, not investment advice, and not a suggestion to buy, sell, or copy anyone’s trades.