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U.S. Senate

Sen. Sheldon Whitehouse

Democrat · Senator from RI

Commission on Security and Cooperation in EuropeUnited States Senate Caucus on International Narcotics ControlBudgetEnvironment and Public WorksFinanceJudiciary
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on direction before market-wide shocks, disclosure timeliness.

Trades disclosed
803
Jan 29, 2014 to Sep 4, 2026
Companies traded
240
Disclosed value
$4.1M–$20.2M
Sum of reported ranges
Filed after 45 days
11
Median filing lag 23 days

Scorecard

Select a test to see the estimate, interval, adjusted p-values and robustness checks.

T5Direction before market-wide shocksBefore 25 large market moves, the member's net trading pointed the right way 16 times.Open question

Question
Before the market's biggest moves, did the member's trades point the right way?

Insider signature
An informed trader's trades just before a market-moving event point in the direction of the coming move.

Analyst note
Hit rate 0.64, Clopper-Pearson 90% [0.46, 0.80]; exact one-sided p = 0.115; magnitude-weighted sign-flip p = 0.202. Episodes: benchmark days beyond three rolling standard deviations with trades in the prior five trading days, plus documented episodes when supplied.

Evidence
Statistical
Hit rate
64.0% [45.6%, 79.8%] 90%
p-value
0.115
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member64.0%
All computed statistics (7)
n_episodes25
hits16
hit_rate0.6400
ci[0.4561, 0.7976]
p_exact0.1148
p_magnitude0.2017
episodes[[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]]
T7Disclosure timeliness26 of 803 trades (3.2%) were disclosed late; median lag 23 days.Open question

Question
Were trades disclosed within the STOCK Act's 45-day limit?

Insider signature
Delayed disclosure can conceal well-timed trades.

Analyst note
Late share 0.032, Wilson [0.024, 0.044]; 90th percentile lag 37 days; longest 554 days.

Evidence
Descriptive
Late share
3.2% [2.4%, 4.4%] 90%
0Estimate
This member3.2%
All computed statistics (15)
n803
amendment_rows_excluded0
late26
late_from_trade26
excused_by_notification0
late_share0.0324
late_ci[0.0236, 0.0443]
median_lag23
p90_lag37
max_lag554
filings105
late_filings11
late_priced16
timely_priced500
late_priced_dates7
T1Trade size74% of 741 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were not larger than usual.Does not fit

Question
Are the member's trades unusually large, especially just before news?

Insider signature
Informed trades are large relative to the trader's normal activity, because the profit from an informational edge scales with position size.

Analyst note
Lowest-band share 0.742, 90% Wilson [0.715, 0.768]. Event-linked size gap Delta_z = 0.00 (within-issuer permutation p = 1.000); 0 event-linked trades with z > 3 in bands of $50,001 or more.

Evidence
Statistical
Lowest-band share
74.2% [71.5%, 76.8%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member74.2%
All computed statistics (9)
n741
lowest_band_share0.7422
lowest_band_ci[0.7150, 0.7678]
share_over_50k0.0067
max_z0
size_gap0
size_gap_p1
event_linked48
event_linked_outliers0
T2Breadth and concentration193 different companies; the effective number of equally sized positions is 68 and trading spans 86% of maximum sector diversity.Does not fit

Question
Is trading concentrated in a few companies rather than spread across a diversified portfolio?

Insider signature
Informed trading concentrates in the few issuers tied to the information.

Analyst note
Dollar HHI 0.015 (identified set [0.007, 0.066]); trade-count HHI 0.010 vs. 95th percentile 0.004 of 741 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.86 [0.83, 0.90]. Top three issuers (NVDA, TSLA, AAPL) carry at least 4% of dollar volume.

Evidence
Statistical
Effective number of issuers
68 [15, 145] 90%
0Estimate
This member68
All computed statistics (13)
n741
issuers193
hhi_mid0.0147
hhi_bounds[0.0069, 0.0662]
n_eff68.2531
hhi_count0.0098
peer_benchmark_p950.0044
peer_benchmark_p0.0020
sector_entropy0.8602
sector_entropy_ci[0.8339, 0.8955]
top3_share_lower0.0379
top3[NVDA, TSLA, AAPL]
top3_tied_to_eventstrue
T3Cadence and event proximity46% of trading days were batches of three or more companies; 0% of trades look routine; 6.5% of trades came within five trading days before a large company-specific move (chance alone: 5.6%).Does not fit

Question
Do trades arrive in routine rebalancing batches, or sporadically just before company news?

Insider signature
Opportunistic trades carry information and routine trades do not.

Analyst note
Batch-day share 101/218, Wilson [0.41, 0.52]; index of dispersion 5.45 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.065 vs. circular-shift null mean 0.056, p = 0.230.

Evidence
Statistical
Batch-day share
46.3% [40.9%, 51.9%] 90%
p-value
0.230
Holm-adjusted p
1.000
BH q-value
0.651
0Estimate
This member46.3%
All computed statistics (14)
n741
trade_days218
batch_share_trades0.7706
batch_day_share0.4633
batch_day_ci[0.4085, 0.5190]
dispersion_index5.4511
dispersion_p0
routine_share0.0014
proximity_share0.0648
proximity_null_mean0.0559
proximity_null_p950.0742
proximity_p0.2300
proximity_nonroutine0.0649
proximity_routine0
T8Committee overlap18% of the member's mapped trading by dollar value was in industries their committees oversee, against 21% for a comparable benchmark.Does not fit

Question
Does the member trade industries their committees oversee, and do those trades do better?

Insider signature
Members may trade on information about industries their committees oversee.

Analyst note
Committees JCSE, SCNC, SSBU, SSEV, SSFI, SSJU; jurisdiction sectors Broadline Retail, Commodity Chemicals, Construction & Engineering, Construction Materials, Distillers & Vintners, Electric Utilities, Environmental & Facilities Services, Health Care, Interactive Media & Services, Life & Health Insurance, Pharmaceuticals, Tobacco, Water Utilities. Dollar share 0.181 (identified set [0.041, 0.534], bootstrap 0.140-0.219); benchmarks S&P 500 0.206, congressional peers 0.176.

Evidence
Descriptive
Jurisdiction excess share
-2.5% [-6.6%, 1.3%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-2.5%
All computed statistics (15)
n627
in_jurisdiction_trades136
share0.1806
share_bounds[0.0410, 0.5341]
share_ci[0.1398, 0.2190]
benchmark_sp5000.2059
benchmark_peers0.1763
excess-0.0254
excess_ci[-0.0661, 0.0131]
committees[JCSE, SCNC, SSBU, SSEV, SSFI, SSJU]
jurisdiction_sectors[Broadline Retail, Commodity Chemicals, Construction & Engineering, Construction Materials, Distillers & Vintners, Electric Utilities, Environmental & Facilities Services, Health Care, Interactive Media & Services, Life & Health Insurance, Pharmaceuticals, Tobacco, Water Utilities]
regression_errorError evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) + C(month) ^^^^^^^^^
gamma1–
gamma1_ci[–, –]
gamma1_p–
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 19% percentile of 134 members (shrunk estimate -0.28% per trade over a month).Does not fit

Question
After accounting for noise, does the member's trading beat that of other members?

Insider signature
A member with an information edge stands out from the cross-section of congressional traders.

Analyst note
Empirical Bayes: raw -0.0160, posterior -0.0028 (sd 0.0015); Congress mean -0.0028, between-member variance 0.000000.

Evidence
Statistical
Shrunk signed 21-day CAR
−0.28% [−0.53%, −0.03%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.28%
All computed statistics (8)
raw-0.0160
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.1940
members_compared134
lower95-0.0058
T12Anticipation of large stock moves89 trades were followed within two weeks by a large company-specific move; 37 were on the profitable side.Does not fit

Question
When a traded stock made a large unexpected move soon after the trade, was the trade on the right side?

Insider signature
Buying shortly before a large jump or selling shortly before a large drop.

Analyst note
Hit rate 0.42, Clopper-Pearson [0.33, 0.51], exact one-sided p = 0.955; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
41.6% [32.7%, 50.8%] 90%
p-value
0.955
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member41.6%
All computed statistics (6)
n89
hits37
hit_rate0.4157
ci[0.3274, 0.5084]
priced516
share_followed0.1725
T13Co-trading with other members14% of trades had another member trading the same stock the same way within a week (chance alone: 13%).Does not fit

Question
Does the member trade the same stock in the same direction as other members at the same time more than chance predicts?

Insider signature
Shared nonpublic information spreads through networks and shows up as clustered trades.

Analyst note
Co-traded share 0.140; circular-shift null mean 0.130, 95th pct 0.158, p = 0.280. Co-traded signed CAR -0.0214, p = 0.759.

Evidence
Statistical
Co-traded share
14.0%
p-value
0.759
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n741
cotraded_share0.1404
null_mean0.1304
null_p950.1580
excess_p0.2800
cotraded_share_wo_top0.1107
excess_p_wo_top0.5800
cotraded_car-0.0214
cotraded_car_ci[-0.0525, 0.0098]
cotraded_car_p0.7594
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit11.1%
T16Options and leverageNo option trades were reported.Does not fit

Question
Does the member use options, and do option trades point the right way?

Insider signature
Informed traders favour options because leverage raises the payoff to private information.

Analyst note
No option trades were reported.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
option_trades0
option_share0
T4Event timing (abnormal returns)Across 516 priced trades, purchases and sales moved 1.60% against the trade's direction relative to the market over the next month on average.Inconclusive (too few trades)

Question
Do purchases rise and sales fall more than the market in the weeks after the trade?

Insider signature
Purchases before price rises and sales before price falls.

Analyst note
Mean signed CAR(1,21) = -0.0160; 90% KP interval [-0.0349, 0.0029]; t_BMP = -3.48, r-bar = 0.018, t_KP = -1.09, Patell Z = -3.87, Corrado Z = -2.58. Dollar-weighted identified set [-0.0775, 0.0231]. Calendar-time alpha -7.16%/yr (NW t = -0.88, 2064 days).

Evidence
Statistical
Mean signed 21-day CAR
−1.60% [−3.49%, +0.29%] 90%
p-value
0.861
Holm-adjusted p
1.000
BH q-value
0.983
Margin δ
0.5% per trade over 21 days
Robust to variants
No, reading changes under some variants
0δEstimate
This member−1.60%
All computed statistics (16)
n516
theta-0.0160
ci[-0.0349, 0.0029]
p0.8611
t_kp-1.0864
rbar0.0177
se_cs0.0036
se_kp0.0115
t_cs-4.4758
t_bmp-3.4843
patell_z-3.8671
corrado_z-2.5756
dollar_weighted_bounds[-0.0775, 0.0231]
calendar_time[object Object]
calendar_alpha_ci[-8.18e-4, 2.49e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.47%
Horizon 63 daysDoes not fit−3.02%
Excluding largest batch dateDoes not fit−1.65%
Self-owned accounts onlyDoes not fit−1.45%
Dollar-weighted (bounds)Open question+2.31%
Calendar-time alpha (annualized)−7.16%
T6Control and independenceNo documentary record of trading arrangements or absence periods was available.Not assessed

Question
Does the member direct the trades, and does trading change when the member's access to information changes?

Insider signature
The person holding the information directs the trade.

Analyst note
No documentary record of trading arrangements or absence periods was available.

Evidence
Not computed
T9Policy-topic overlap82 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -1.70% in the trade's favour, -0.12% relative to the member's other trades.Inconclusive (too few trades)

Question
Did trades in stocks affected by the member's legislative work come before votes and move the right way?

Insider signature
Trading on knowledge of legislation before it is public.

Analyst note
theta_9 = -0.0170; pre-event minus other trades = -0.0012 [-0.0188, 0.0140], p = 0.542; mean pre-trade drift psi = -0.0011.

Evidence
Statistical
Pre-event minus other trades, signed CAR
−0.12% [−1.88%, +1.40%] 90%
p-value
0.542
Holm-adjusted p
1.000
BH q-value
0.848
Margin δ
0.5% per trade
Robust to variants
Yes
0δEstimate
This member−0.12%
All computed statistics (13)
n82
n_other434
theta9-0.0170
diff-0.0012
ci[-0.0188, 0.0140]
p0.5420
pre_trade_drift-0.0011
pre_trade_drift_significantfalse
events2370
events_by_kind[object Object]
affected_share_of_priced_trades0.1589
trade_dates51
placebo_readingopen_question
Robustness variantReadingEstimate
Window 15 daysOpen question−0.66%
Window 60 daysOpen question−0.47%
Excluding largest batch dateOpen question−0.11%
Placebo: month after events−1.36%
T10Behavior after scrutinyNo documented scrutiny date; the estimated change point in trading activity is shown for reference.Not assessed

Question
Did trading change after press scrutiny or an ethics inquiry?

Insider signature
A member who trades on information has an incentive to keep control of trading after scrutiny.

Analyst note
No documented scrutiny date; the estimated change point in trading activity is shown for reference. Estimated change point 2019-06-06 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2019-06-06
changepoint_LR70.6710
changepoint_p0.0020
tradeday_rate_before0.1103
tradeday_rate_after0.0338
T14Family-account trades26% of trades were in family accounts; those moved -0.62% in the trade's favour over a month.Inconclusive (too few trades)

Question
Do trades in a spouse's or dependent's name do better than the member's own?

Insider signature
Routing informed trades through family accounts.

Analyst note
Family signed CAR -0.0062 [-0.0234, 0.0109], t_KP = -0.57; family minus self 0.0083 [-0.0039, 0.0223], p = 0.142.

Evidence
Statistical
Family-account signed CAR
−0.62% [−2.34%, +1.09%] 90%
p-value
0.713
Holm-adjusted p
1.000
BH q-value
0.928
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.62%
All computed statistics (8)
family_trades158
family_share0.2599
owner_unknown133
family_car-0.0062
family_ci[-0.0234, 0.0109]
diff0.0083
diff_ci[-0.0039, 0.0223]
diff_p0.1420
T15Short-swing round trips48 buy-and-sell round trips within six months; in the month after opening, those positions moved -1.10% in the trade's favour relative to the market.Inconclusive (too few trades)

Question
Does the member buy and sell the same stock within six months, and do those round trips beat the market?

Insider signature
Short-horizon round trips capture a temporary informational edge.

Analyst note
Opening-trade signed CAR(1,21) -0.0110 [-0.0365, 0.0145], t_KP = -0.61, over 26 priced openings. Realized market-adjusted return to the closing trade averaged -5.82% (win rate 36%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
−1.10% [−3.65%, +1.45%] 90%
p-value
0.727
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−1.10%
All computed statistics (9)
round_trips48
share_in_round_trips0.1296
priced33
realized_mean-0.0582
realized_win_rate0.3636
opening_car-0.0110
ci[-0.0365, 0.0145]
p0.7267
openings_priced26

Documented episodes

Trades placed near a documented market or policy event, and which way the market moved next.

Market move on 2014-02-03
–
6 trade(s) in the prior five trading days
-2.25%

S&P 500 (SPY) daily move (Feb 3, 2014)

Right way.

Market move on 2014-07-31
–
5 trade(s) in the prior five trading days
-1.97%

S&P 500 (SPY) daily move (Jul 31, 2014)

Right way.

Market move on 2014-10-09
–
9 trade(s) in the prior five trading days
-1.98%

S&P 500 (SPY) daily move (Oct 9, 2014)

Wrong way.

Market move on 2015-09-01
–
6 trade(s) in the prior five trading days
-2.98%

S&P 500 (SPY) daily move (Sep 1, 2015)

Right way.

Market move on 2018-02-02
–
1 trade(s) in the prior five trading days
-2.18%

S&P 500 (SPY) daily move (Feb 2, 2018)

Right way.

Market move on 2018-02-05
–
1 trade(s) in the prior five trading days
-4.18%

S&P 500 (SPY) daily move (Feb 5, 2018)

Right way.

Market move on 2018-02-06
–
1 trade(s) in the prior five trading days
+1.97%

S&P 500 (SPY) daily move (Feb 6, 2018)

Wrong way.

Market move on 2018-03-22
–
3 trade(s) in the prior five trading days
-2.5%

S&P 500 (SPY) daily move (Mar 22, 2018)

Right way.

Market move on 2018-03-23
–
3 trade(s) in the prior five trading days
-2.13%

S&P 500 (SPY) daily move (Mar 23, 2018)

Right way.

Market move on 2018-03-26
–
3 trade(s) in the prior five trading days
+2.74%

S&P 500 (SPY) daily move (Mar 26, 2018)

Wrong way.

Market move on 2018-04-06
–
6 trade(s) in the prior five trading days
-2.23%

S&P 500 (SPY) daily move (Apr 6, 2018)

Right way.

Market move on 2018-10-24
–
1 trade(s) in the prior five trading days
-3.03%

S&P 500 (SPY) daily move (Oct 24, 2018)

Wrong way.

Market move on 2018-12-04
–
3 trade(s) in the prior five trading days
-3.24%

S&P 500 (SPY) daily move (Dec 4, 2018)

Right way.

Market move on 2018-12-26
–
1 trade(s) in the prior five trading days
+5.05%

S&P 500 (SPY) daily move (Dec 26, 2018)

Wrong way.

Market move on 2019-01-04
–
10 trade(s) in the prior five trading days
+3.35%

S&P 500 (SPY) daily move (Jan 4, 2019)

Wrong way.

Market move on 2020-03-12
–
3 trade(s) in the prior five trading days
-9.57%

S&P 500 (SPY) daily move (Mar 12, 2020)

Right way.

Market move on 2020-03-13
–
3 trade(s) in the prior five trading days
+8.55%

S&P 500 (SPY) daily move (Mar 13, 2020)

Wrong way.

Market move on 2020-03-16
–
3 trade(s) in the prior five trading days
-10.94%

S&P 500 (SPY) daily move (Mar 16, 2020)

Right way.

Market move on 2020-03-17
–
3 trade(s) in the prior five trading days
+5.4%

S&P 500 (SPY) daily move (Mar 17, 2020)

Wrong way.

Market move on 2020-03-18
–
3 trade(s) in the prior five trading days
-5.06%

S&P 500 (SPY) daily move (Mar 18, 2020)

Right way.

Market move on 2024-08-05
–
2 trade(s) in the prior five trading days
-2.91%

S&P 500 (SPY) daily move (Aug 5, 2024)

Right way.

Market move on 2024-11-06
–
1 trade(s) in the prior five trading days
+2.49%

S&P 500 (SPY) daily move (Nov 6, 2024)

Right way.

Market move on 2025-04-04
–
1 trade(s) in the prior five trading days
-5.85%

S&P 500 (SPY) daily move (Apr 4, 2025)

Right way.

Market move on 2025-04-09
–
1 trade(s) in the prior five trading days
+10.5%

S&P 500 (SPY) daily move (Apr 9, 2025)

Wrong way.

Market move on 2025-04-10
–
1 trade(s) in the prior five trading days
-4.38%

S&P 500 (SPY) daily move (Apr 10, 2025)

Right way.

Disclosed trades per monthPurchasesSales
2014201520162017201820192020202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
NVDA NVIDIA Corporation22$318K to $1M
TSLA Tesla, Inc.14$169K to $585K
AAPL Apple Inc. (NASDAQ)15$155K to $575K
GILD Gilead Sciences Inc. (NASDAQ)19$61K to $390K
T AT&T, Inc. (NYSE)18$60K to $375K
FB Facebook, Inc. (NASDAQ)17$59K to $360K
VFC V.F. Corporation (NYSE)8$78K to $295K
BIIB Biogen Inc. (NASDAQ)15$43K to $295K

All disclosed trades

Amounts are the ranges reported on the filing. Late filings are those made more than 45 days after the trade.

JSON · CSV
803 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Sep 4, 2026V VSale$1,001 to $15Kunknown27 d−0.4%Senate eFD search
Sep 4, 2026V VSale$1,001 to $15Kunknown27 d−0.4%Senate eFD search
Sep 4, 2026ADI ADISale$1,001 to $15Kunknown27 d−1.4%Senate eFD search
Sep 4, 2026JPM JPMSale$15K to $50Kunknown27 d+1.7%Senate eFD search
Sep 4, 2026JPM JPMSale$15K to $50Kunknown27 d+1.7%Senate eFD search
Aug 13, 2026LRCX LRCXSale$1,001 to $15Kunknown20 d+3.7%Senate eFD search
Aug 13, 2026NVDA NVDASale$1,001 to $15Kunknown20 d−0.3%Senate eFD search
Aug 13, 2026NVDA NVDASale$15K to $50Kunknown20 d−0.3%Senate eFD search
Aug 12, 2026AMGN AMGNCommitteeSale$1,001 to $15Kunknown21 d−5.9%Senate eFD search
Jul 20, 2026LOW LOWSale$1,001 to $15Kunknown14 d−4.6%Senate eFD search
Jun 30, 2026NVDA NVDASale$15K to $50Kunknown8 d−2.3%Senate eFD search
Jun 25, 2026CCI CCISale$1,001 to $15Kunknown13 d+3.7%Senate eFD search
Jun 25, 2026COHR COHRPurchase$15K to $50Kunknown13 d−25.7%Senate eFD search
Jun 25, 2026MU MUPurchase$1,001 to $15Kunknown13 d−28.0%Senate eFD search
Jun 24, 2026AAPL AAPLSale$15K to $50Kunknown14 d+1.4%Senate eFD search
Jun 24, 2026AAPL AAPLSale$15K to $50Kunknown14 d+1.4%Senate eFD search
May 8, 2026NVDA NVDASale$100K to $250Kunknown25 d−4.1%Senate eFD search
May 8, 2026NVDA NVDASale$100K to $250Kunknown25 d−4.1%Senate eFD search
May 7, 2026ORCL ORCLSale$15K to $50Kunknown26 d+2.7%Senate eFD search
Apr 13, 2026JPM JPMSale$15K to $50Kunknown21 d+2.4%Senate eFD search
Mar 30, 2026PEP PEPSale$1,001 to $15Kunknown9 d+3.3%Senate eFD search
Feb 23, 2026MA MASale$1,001 to $15Kunknown11 d−4.6%Senate eFD search
Feb 23, 2026VZ VZSale$1,001 to $15Kunknown11 d−0.6%Senate eFD search
Feb 23, 2026PEP PEPSale$1,001 to $15Kunknown11 d+0.5%Senate eFD search
Feb 23, 2026HD HDSale$1,001 to $15Kunknown11 d+1.6%Senate eFD search
Feb 23, 2026PEP PEPSale$1,001 to $15Kunknown11 d+0.5%Senate eFD search
Jan 9, 2026HD HDSale$1,001 to $15Kunknown26 d−2.0%Senate eFD search
Jan 9, 2026SBUX SBUXSale$1,001 to $15Kunknown26 d−5.3%Senate eFD search
Jan 9, 2026MCD MCDSale$15K to $50Kunknown26 d+0.1%Senate eFD search
Jan 9, 2026SBUX SBUXSale$1,001 to $15Kunknown26 d−5.3%Senate eFD search
Jan 9, 2026NVDA NVDASale$1,001 to $15Kunknown26 d−1.3%Senate eFD search
Jan 9, 2026NVDA NVDASale$1,001 to $15Kunknown26 d−1.3%Senate eFD search
Nov 21, 2025HSY HSYPurchase$1,001 to $15Kunknown10 d−1.1%Senate eFD search
Nov 21, 2025KO KOPurchase$1,001 to $15Kunknown10 d−1.1%Senate eFD search
Nov 21, 2025GH GHCommitteePurchase$1,001 to $15Kunknown10 d−5.6%Senate eFD search
Oct 27, 2025PGR PGRSale$15K to $50Kunknown7 d+5.9%Senate eFD search
Oct 20, 2025NVDA NVDASale$15K to $50Kunknown14 d−0.8%Senate eFD search
Sep 4, 2025UNH UNHCommitteeSale$15K to $50Kunknown29 d−14.6%Senate eFD search
Sep 4, 2025AAPL AAPLSale$15K to $50Kunknown29 d+5.2%Senate eFD search
Sep 4, 2025VZ VZSale$1,001 to $15Kunknown29 d+0.3%Senate eFD search
Sep 4, 2025AMGN AMGNCommitteeSale$1,001 to $15Kunknown29 d−0.6%Senate eFD search
Sep 4, 2025HON HONSale$15K to $50Kunknown29 d+1.1%Senate eFD search
Sep 4, 2025NVDA NVDASale$15K to $50Kunknown29 d−0.2%Senate eFD search
Sep 4, 2025MSFT MSFTSale$15K to $50Kunknown29 d+2.8%Senate eFD search
Aug 28, 2025KVUE KVUESale$1,001 to $15Kunknown6 d+9.3%Senate eFD search
Aug 28, 2025LRCX LRCXSale$15K to $50Kunknown6 d+0.6%Senate eFD search
Aug 28, 2025UNH UNHCommitteeSale$15K to $50Kunknown6 d−5.7%Senate eFD search
Aug 28, 2025DHR DHRCommitteeSale$1,001 to $15Kunknown6 d+1.3%Senate eFD search
Jul 7, 2025NVDA NVDASale$15K to $50Kunknown28 d−2.2%Senate eFD search
Jul 3, 2025ADI ADISale$15K to $50Kunknown32 d−0.3%Senate eFD search