Joe Courtney
Democrat · CT-02 80 disclosed trades · all members
What they disclosed
Amounts are disclosed as ranges, not figures, so no total is shown — the STOCK Act requires a band such as $1,001–$15,000 and adding bands together produces a number that does not exist.
Committees
- House Committee on Armed Services
- House Committee on Education and Workforce
2 of these 80 trades were in industries plainly covered by House Committee on Armed Services. That is an overlap between two public records and nothing more — it is not an allegation, it does not imply the committee seat had anything to do with the trade, and members of a committee are often assigned to it because of a background in the field. See how it is counted.
Industries tradedwhere the security could be classified
Most recent disclosureslatest 40 of 80
| Date | Security | Action | Amount | Filing |
|---|---|---|---|---|
| 2022-04-05 | MFC Manulife Financial Corporation | sale | $1,001 - $15,000 | |
| 2022-03-03 | PBCT | sale | $15,001 - $50,000 | |
| 2020-10-16 | AAPL Apple Inc. | sale | $1,001 - $15,000 | |
| 2020-10-16 | FLCO | purchase | $1,001 - $15,000 | |
| 2020-10-16 | FLQL Franklin U.S. Large Cap Multifactor Index ETF | purchase | $1,001 - $15,000 | |
| 2020-10-16 | SPTM State Street SPDR Portfolio S&P 1500 Composite Stock Market ETF | sale | $1,001 - $15,000 | |
| 2020-10-16 | VEA Vanguard FTSE Developed Markets ETF | purchase | $1,001 - $15,000 | |
| 2020-10-16 | VWO Vanguard FTSE Emerging Markets ETF | purchase | $1,001 - $15,000 | |
| 2020-10-16 | VOO Vanguard S&P 500 ETF | purchase | $15,001 - $50,000 | |
| 2020-10-09 | BABA Alibaba Group Holding Limited American Preferred | sale | $15,001 - $50,000 | |
| 2020-10-09 | BTZ BlackRock Credit Allocation Income Trust | sale | $1,001 - $15,000 | |
| 2020-10-09 | DSU Blackrock Debt Strategies Fund, Inc. | sale | $1,001 - $15,000 | |
| 2020-10-09 | EVV Eaton Vance Limited Duration Income Fund Common Shares of Beneficial… | sale | $1,001 - $15,000 | |
| 2020-10-09 | ET Energy Transfer LP Common Units | sale | $1,001 - $15,000 | |
| 2020-10-09 | F Ford Motor Company | sale | $1,001 - $15,000 | |
| 2020-10-09 | DIV Global X Super Dividend ETF | sale | $1,001 - $15,000 | |
| 2020-10-09 | TLT iShares 20+ Year Treasury Bond ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | IEF iShares 7-10 Year Treasury Bond ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | IEFA iShares Core MSCI EAFE ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | IVV iShares Core S&P 500 ETF | purchase | $15,001 - $50,000 | |
| 2020-10-09 | IJR iShares Core S&P Small-Cap ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | IDV iShares International Select Dividend ETF | sale | $1,001 - $15,000 | |
| 2020-10-09 | USMV iShares MSCI USA Min Vol Factor ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | VLUE iShares MSCI USA Value Factor ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | IHI iShares U.S. Medical Devices ETF | purchase | $1,001 - $15,000 | |
| 2020-10-09 | NTDOY | sale | $15,001 - $50,000 | |
| 2020-10-09 | SRLN State Street Blackstone Senior Loan ETF | sale | $1,001 - $15,000 | |
| 2020-10-09 | VTI Vanguard Morningstar Total Stock Market ETF | sale | $1,001 - $15,000 | |
| 2020-10-09 | PUTW | sale | $1,001 - $15,000 | |
| 2020-10-09 | XSOE WisdomTree Emerging Markets Ex-State Owned Enterprises Fund | purchase | $1,001 - $15,000 | |
| 2020-08-07 | AMZN Amazon.com, Inc. | sale | $15,001 - $50,000 | |
| 2020-08-07 | ANTM | sale | $1,001 - $15,000 | |
| 2020-08-07 | COF Capital One Financial Corporation | sale | $1,001 - $15,000 | |
| 2020-08-07 | CVX Chevron Corporation | sale | $1,001 - $15,000 | |
| 2020-08-07 | CSCO Cisco Systems, Inc. | sale | $1,001 - $15,000 | |
| 2020-08-07 | C Citigroup, Inc. | sale | $1,001 - $15,000 | |
| 2020-08-07 | STZ Constellation Brands, Inc. | sale | $1,001 - $15,000 | |
| 2020-08-07 | COST Costco Wholesale Corporation | sale | $1,001 - $15,000 | |
| 2020-08-07 | FISV Fiserv, Inc. | sale | $1,001 - $15,000 | |
| 2020-08-07 | HON Honeywell International Inc. | sale | $1,001 - $15,000 |
How the committee overlap is counted, and what it is not
A trade counts toward the overlap when the company's SEC industry classification falls plainly inside what one of the member's committees covers — a bank trade for someone on Financial Services, a defence contractor for someone on Armed Services. The mapping between committee and industry is curated and deliberately short, covering only pairs nobody would argue about. It is not official; no official version exists.
So the number is an overlap between two public records: the House Clerk's disclosures and the committee rosters published by the unitedstates project. It is not a finding, and it carries no claim that the seat and the trade are connected. Two things it will not tell you apart: a member trading a sector because they sit on its committee, and a member sitting on a committee because they spent a career in that sector. The second is extremely common and is how committee assignments are supposed to work.
It also cannot see who actually made the trade. Disclosures cover a spouse's and dependent children's accounts, and many are made by a manager under an arrangement the member does not direct.
What the disclosure record does and does not contain
- Amounts are ranges. The STOCK Act requires a band, not a figure, so there is no portfolio value here and no total. Any site showing you a member's exact position size computed it by assuming something.
- It lags. A transaction must be reported within 45 days of notice, and the notice itself can follow the trade. A date here is the transaction date as filed.
- Tickers are free text. Filers type them by hand into a PDF, so some are wrong or missing and some entries are not securities at all. Only values that look like real symbols are linked.
- Late and amended filings happen, and the record keeps both.
Where this comes from
Disclosures are parsed from the Clerk of the House's own published filings — the full record with every original PDF is on the congress trading pages. Committee rosters and member identity come from the unitedstates/congress-legislators datasets, which are public domain. Neither is bought from a vendor.