QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 08:06 UTC · Public disclosure record

97AVG SCORE

Sheldon Whitehouse

Senate Democrat RI
Senate Committee on Environment and Public WorksSenate Committee on FinanceSenate Committee on the BudgetSenate Committee on the JudiciaryUnited States Senate Caucus on International Narcotics ControlCommission on Security and Cooperation in Europe
Chemical Safety, Waste Management, Environmental Justice, and Regulatory OversightClean Air, Climate, and Nuclear Innovation and SafetyFisheries, Water, and WildlifeTransportation and InfrastructureHealth CareInternational Trade, Customs, and Global CompetitivenessTaxation and IRS OversightFederal Courts, Oversight, Agency Action, and Federal RightsBorder Security and ImmigrationIntellectual Propertythe Constitution

Sheldon Whitehouse has disclosed 17 stock transactions — 2 buys, 13 sells and 2 other (exchanges/other), each ranked by how much scrutiny it deserves and linked to its original Senate filing. A transparency record.

⚑
3 potential conflicts of interest. Whitehouse sits on committee(s) overseeing Finance, Health, Insurance, Transportation, and made 3 trades in those sectors (marked ⚑ below). This is a transparency signal, not an allegation of wrongdoing — such trades are often entirely legitimate.
17
Total trades
2
Buy
13
Sell
2
Other (exchange)
20
Avg. disclosure delay (days)

Track record Congressional Trading Performance

Two figures per horizon, both hypothetical and not investment advice: Member's own — what the trade returned if you'd bought when Whitehouse did (not public yet, so not replicable); and If you'd followed — buying only after the disclosure went public, which is what a follower could actually do. The gap between them is the cost of the disclosure lag.

1 month
Member's own
-27.4%
-28.1% vs S&P 500
If you'd followed
+6.0%
+2.4% vs S&P 500
2 of 2 priced
3 months
Member's own
-18.9%
-23.7% vs S&P 500
If you'd followed
+8.5%
+4.0% vs S&P 500
2 of 2 priced
6 months
too recent
0 of 2 priced · 2 too recent
1 year
too recent
0 of 2 priced · 2 too recent
3 years
too recent
0 of 2 priced · 2 too recent

The count falls at longer horizons because recent trades haven't completed the full window yet — a return that hasn't happened is never estimated (no look-ahead). Only buys with usable price data are counted.

Round-trip watch Open positions

Stocks Whitehouse disclosed buying and has not disclosed selling, versus their entry (the most recent disclosed buy). "Open" means no disclosed sale — never "still holds" — and the % is unrealised. Not investment advice.

TickerEntry (last buy)Entry priceNowvs entryStatus
COHR 2026-06-25 $407.25 $210.32 -48.4% underwater
MU 2026-06-25 $1213.18 $884.74 -27.1% underwater

Price as of 2026-10-30. Counted open while disclosed buys outnumber disclosed sells; tracks the price, not exact position size (amounts are ranges).

Where they trade Favorite Sectors

Distribution of this politician's trades across sectors (of trades with a known sector — bonds and funds are excluded).

Technology
8 (50%)
Finance
2 (12%)
Business Services
2 (12%)
Industrials
1 (6%)
Health
1 (6%)
Retail & Wholesale
1 (6%)
Telecommunications
1 (6%)

Traded the same stocks, same time Co-Investors in Congress

Other members who traded the same tickers within 30 days of Whitehouse's trades in them. A high overlap can reflect shared information, shared advisors, or simply popular stocks — it is not evidence of coordination.

PoliticianOverlapping tradesShared tickers
Gilbert Cisneros 8 AAPL, MU, NVDA
Rohit Khanna 7 AAPL, LOW, MU, NVDA
Scott Franklin 4 JPM
Michael Rulli 4 AAPL, MU, NVDA
Cleo Fields 3 NVDA
Matthew Robert Van Epps 3 AAPL, NVDA
Pete Sessions 2 V
John McGuire 2 NVDA
Daniel Meuser 2 NVDA
Cory Booker 2 NVDA
David Taylor 2 AMGN
Dan Newhouse 2 MU, NVDA

Corporate insiders · SEC Form 4 Overlap with Insiders

On the trades where corporate insiders were also active, how often did Sheldon Whitehouse move the same way as the company's own officers and directors (within 60 days)? Co-occurrence only — context from public Form 4 filings, never proof of coordination, and tested honestly for whether it means anything.

87%
of checkable trades converged
avg 20% across all members
13
converged (of 15 checkable)
2
diverged

Sheldon Whitehouse's convergence rate of 87% is higher than the 20% average across all members. "Checkable" = trades on tickers where insiders were also trading, so convergence could even be measured.

TickerDateTradeInsider convergence
V 2026-09-04 SELL ◆ moderate · 5 insiders
V 2026-09-04 SELL ◆ moderate · 5 insiders
AMGN 2026-08-12 SELL ◆ moderate · 3 insiders
LOW 2026-07-20 SELL ◆ moderate · 3 insiders

Descriptive only — insider convergence is context from public SEC Form 4 filings, never proof of coordination or wrongdoing, and not investment advice.

17 trades Recent Transactions

Marker key: ⚑ potential conflict (a committee Whitehouse sits on oversees that sector) · ◆ corporate-insider overlap from SEC Form 4 (convergence/divergence — context, not a signal) · % of NW trade size vs estimated net worth, 🔥 marking high/extreme conviction · OCR recovered from a scanned filing (verify against source) · ×N filings the same trade disclosed more than once (shown once). None is an allegation of wrongdoing.

TickerCompanyTypeDateFiledLagPrice move
in that
window
AmountScoreSource
⚑ JPM Jpmorgan Chase & Co. SELL ◆ insider convergence 2026-09-04 2026-10-01 27 days -7.1% $15K–$50K 100.0 ↗ eFD
V Visa Inc. SELL ◆ insider convergence · moderate 2026-09-04 2026-10-01 27 days -4.1% $1K–$15K 98.4 ↗ eFD
V Visa Inc. SELL ◆ insider convergence · moderate 2026-09-04 2026-10-01 27 days -4.1% $1K–$15K 98.4 ↗ eFD
ADI Analog Devices Inc. SELL ◆ insider convergence 2026-09-04 2026-10-01 27 days +11.7% $1K–$15K 97.9 ↗ eFD
⚑ JPM Jpmorgan Chase & Co. SELL ◆ insider convergence 2026-09-04 2026-10-01 27 days -7.1% $15K–$50K 100.0 ↗ eFD
LRCX Lam Research Corp. SELL ◆ insider convergence 2026-08-13 2026-09-02 20 days -14.4% $1K–$15K 96.3 ↗ eFD
NVDA Nvidia Corp. SELL ◆ insider convergence 2026-08-13 2026-09-02 20 days -0.4% $1K–$15K 89.2 ↗ eFD
NVDA Nvidia Corp. SELL ◆ insider convergence 2026-08-13 2026-09-02 20 days -0.4% $15K–$50K 95.5 ↗ eFD
⚑ AMGN Amgen Inc. SELL ◆ insider convergence · moderate 2026-08-12 2026-09-02 21 days +7.0% $1K–$15K 99.9 ↗ eFD
SDZNY Sandoz Group Ag Sponsored Adr OTHER 2026-08-06 2026-09-02 27 days -0.4% $1K–$15K 95.9 ↗ eFD
LOW Lowes Companies Inc. SELL ◆ insider convergence · moderate 2026-07-20 2026-08-03 14 days +4.2% $1K–$15K 95.2 ↗ eFD
NVDA Nvidia Corp. SELL ◆ insider convergence 2026-06-30 2026-07-08 8 days +2.0% $15K–$50K 98.4 ↗ eFD
MU Micron Technology Inc. BUY ◆ insider divergence · moderate 2026-06-25 2026-07-08 13 days -21.8% $1K–$15K 97.0 ↗ eFD
COHR Coherent Corp. BUY ◆ insider divergence 2026-06-25 2026-07-08 13 days -22.1% $15K–$50K 96.2 ↗ eFD
CCI Crown Castle Inc. OTHER 2026-06-25 2026-07-08 13 days -3.3% $1K–$15K 92.4 ↗ eFD
AAPL Apple Inc. SELL ◆ insider convergence 2026-06-24 2026-07-08 14 days +6.9% $15K–$50K 99.6 ↗ eFD
AAPL Apple Inc. SELL ◆ insider convergence 2026-06-24 2026-07-08 14 days +6.9% $15K–$50K 99.6 ↗ eFD

FAQ Common questions

How many stock trades has Sheldon Whitehouse disclosed?

17 disclosed stock transactions — 2 buys and 13 sells — all from official Senate financial disclosures.

Is this insider trading?

No. QuantCapitol surfaces the timing and context of publicly disclosed trades for transparency. A trade near related legislation is a coincidence we flag — never an accusation of wrongdoing.

Where does this data come from?

Official US House Clerk and Senate electronic financial disclosures. Every trade links back to its original filing so you can verify it yourself.

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.