The weekly data drop

Congress trading, week of September 28, 2026

Sep 28 to Oct 4, 2026 · 13 reports · 22 trades

11 members of Congress filed 13 periodic transaction reports between September 28 and October 4, 2026, disclosing 22 trades with a listed ticker (9 purchases and 13 sales) across 16 tickers. Members report brackets rather than amounts, so the week's disclosed value falls somewhere in $141K–$590K, 17 trades from the House and 5 trades from the Senate. Every trade in the week's reports was disclosed inside the 45-day window the STOCK Act allows, at a median of 17 days after the trade.

This page covers one Monday-to-Sunday filing week and does not change once the week has closed. The newest closed week is always at the current drop, and every week on record is in the archive. Every figure below is a count, a date, a disclosed amount range, or a lag against the STOCK Act deadline, and every one of them can be checked against the underlying reports.

The week in numbers

Reports filed
13
11 members of Congress, 5 reports disclosing a trade with a listed ticker
Trades disclosed
22
16 distinct tickers, 5 members
Purchases / sales
9 / 13
Exchanges counted separately
Disclosed value
$141K–$590K
Members report brackets, so this is the floor and the ceiling of the week
Past the 45-day deadline
0
Every trade was disclosed inside the STOCK Act window
Median disclosure lag
17d
Days between the trade and the report that disclosed it

Who filed · 5 members

MemberTradesBuysSalesTickersLate
Rep. Cleo Fields (D-LA)55040
Rep. David J. Taylor (R-OH)53230
Sen. Sheldon Whitehouse (D-RI)50530
Rep. Tony Wied (R-WI)40440
Rep. Michael Rulli (R-OH)31230

What they traded · 16 tickers

  • $MSFTMicrosoft Corporation3 trades · 2 buys / 1 sale · 2 members
  • $HDHome Depot, Inc.2 trades · 2 buys / 0 sales · 1 member
  • $JPMJP Morgan Chase & Co.2 trades · 0 buys / 2 sales · 1 member
  • $MPCMarathon Petroleum Corporation2 trades · 0 buys / 2 sales · 1 member
  • $VVisa Inc.2 trades · 0 buys / 2 sales · 1 member
  • $AAPLApple Inc.1 trade · 1 buy / 0 sales · 1 member
  • $ADIAnalog Devices, Inc.1 trade · 0 buys / 1 sale · 1 member
  • $AMGNAmgen Inc.1 trade · 1 buy / 0 sales · 1 member
  • $CMGCHIPOTLE MEXICAN GRILL I1 trade · 0 buys / 1 sale · 1 member
  • $GOOGAlphabet Inc. - Class C Capital Stock1 trade · 1 buy / 0 sales · 1 member
  • $GSGoldman Sachs Group, Inc.1 trade · 1 buy / 0 sales · 1 member
  • $NFLXNetflix, Inc.1 trade · 1 buy / 0 sales · 1 member

The twelve tickers the most members touched. The rest are in the week's individual reports.

Traded by more than one member

$MSFT (Cleo Fields, Michael Rulli) was disclosed by more than one member in the same filing week. The overlap is a fact about the filings, not a claim about why the trades happened; longer-running convergences are tracked in the cluster study.

Largest disclosed trades

What came after

6 reports have been filed since this week closed on October 4, 2026, carrying 462 trades with a listed ticker. Each of those weeks has its own page in the archive. A late report can disclose a trade from long before the week it arrived in; this page counts reports by the date they were filed, which is the date they became public.

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Cite this page

The figures on this page are free to quote, with a link back. A citation that carries the week is enough:

Coldpine, “Congress trading, week of September 28, 2026,” https://coldpine.io/data/week/2026-09-28

To work with the numbers rather than quote them, every week on record is downloadable as CSV or JSON: one row per filing week, with the reports filed, members filing, trades disclosed and trades that missed the 45-day deadline. Free to reuse with attribution.

The source records are the periodic transaction reports members file with the House Clerk and the Senate Office of Public Records; Coldpine parses them and counts what they contain. How the parsing works, and what it misses, is in the methodology; who publishes this and how to reach us for a correction is on the masthead. Machine-readable access to the same data is documented for developers and AI assistants.

From Coldpine Research