Sen. Sheldon Whitehouse
Democrat · Senator from RI
No test fits; open questions on direction before market-wide shocks, disclosure timeliness.
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
All computed statistics (7)
| n_episodes | 25 |
| hits | 16 |
| hit_rate | 0.6400 |
| ci | [0.4561, 0.7976] |
| p_exact | 0.1148 |
| p_magnitude | 0.2017 |
| 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%
All computed statistics (15)
| n | 803 |
| amendment_rows_excluded | 0 |
| late | 26 |
| late_from_trade | 26 |
| excused_by_notification | 0 |
| late_share | 0.0324 |
| late_ci | [0.0236, 0.0443] |
| median_lag | 23 |
| p90_lag | 37 |
| max_lag | 554 |
| filings | 105 |
| late_filings | 11 |
| late_priced | 16 |
| timely_priced | 500 |
| late_priced_dates | 7 |
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
All computed statistics (9)
| n | 741 |
| lowest_band_share | 0.7422 |
| lowest_band_ci | [0.7150, 0.7678] |
| share_over_50k | 0.0067 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 48 |
| event_linked_outliers | 0 |
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%
All computed statistics (13)
| n | 741 |
| issuers | 193 |
| hhi_mid | 0.0147 |
| hhi_bounds | [0.0069, 0.0662] |
| n_eff | 68.2531 |
| hhi_count | 0.0098 |
| peer_benchmark_p95 | 0.0044 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.8602 |
| sector_entropy_ci | [0.8339, 0.8955] |
| top3_share_lower | 0.0379 |
| top3 | [NVDA, TSLA, AAPL] |
| top3_tied_to_events | true |
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
All computed statistics (14)
| n | 741 |
| trade_days | 218 |
| batch_share_trades | 0.7706 |
| batch_day_share | 0.4633 |
| batch_day_ci | [0.4085, 0.5190] |
| dispersion_index | 5.4511 |
| dispersion_p | 0 |
| routine_share | 0.0014 |
| proximity_share | 0.0648 |
| proximity_null_mean | 0.0559 |
| proximity_null_p95 | 0.0742 |
| proximity_p | 0.2300 |
| proximity_nonroutine | 0.0649 |
| proximity_routine | 0 |
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
All computed statistics (15)
| n | 627 |
| in_jurisdiction_trades | 136 |
| share | 0.1806 |
| share_bounds | [0.0410, 0.5341] |
| share_ci | [0.1398, 0.2190] |
| benchmark_sp500 | 0.2059 |
| benchmark_peers | 0.1763 |
| 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_error | Error 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
All computed statistics (8)
| raw | -0.0160 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.1940 |
| members_compared | 134 |
| 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
All computed statistics (6)
| n | 89 |
| hits | 37 |
| hit_rate | 0.4157 |
| ci | [0.3274, 0.5084] |
| priced | 516 |
| share_followed | 0.1725 |
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)
| n | 741 |
| cotraded_share | 0.1404 |
| null_mean | 0.1304 |
| null_p95 | 0.1580 |
| excess_p | 0.2800 |
| cotraded_share_wo_top | 0.1107 |
| excess_p_wo_top | 0.5800 |
| cotraded_car | -0.0214 |
| cotraded_car_ci | [-0.0525, 0.0098] |
| cotraded_car_p | 0.7594 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 11.1% |
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_trades | 0 |
| option_share | 0 |
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
All computed statistics (16)
| n | 516 |
| theta | -0.0160 |
| ci | [-0.0349, 0.0029] |
| p | 0.8611 |
| t_kp | -1.0864 |
| rbar | 0.0177 |
| se_cs | 0.0036 |
| se_kp | 0.0115 |
| 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 variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −0.47% |
| Horizon 63 days | Does not fit | −3.02% |
| Excluding largest batch date | Does not fit | −1.65% |
| Self-owned accounts only | Does 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
All computed statistics (13)
| n | 82 |
| n_other | 434 |
| theta9 | -0.0170 |
| diff | -0.0012 |
| ci | [-0.0188, 0.0140] |
| p | 0.5420 |
| pre_trade_drift | -0.0011 |
| pre_trade_drift_significant | false |
| events | 2370 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.1589 |
| trade_dates | 51 |
| placebo_reading | open_question |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Open question | −0.66% |
| Window 60 days | Open question | −0.47% |
| Excluding largest batch date | Open 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)
| changepoint | 2019-06-06 |
| changepoint_LR | 70.6710 |
| changepoint_p | 0.0020 |
| tradeday_rate_before | 0.1103 |
| tradeday_rate_after | 0.0338 |
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
All computed statistics (8)
| family_trades | 158 |
| family_share | 0.2599 |
| owner_unknown | 133 |
| family_car | -0.0062 |
| family_ci | [-0.0234, 0.0109] |
| diff | 0.0083 |
| diff_ci | [-0.0039, 0.0223] |
| diff_p | 0.1420 |
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
All computed statistics (9)
| round_trips | 48 |
| share_in_round_trips | 0.1296 |
| priced | 33 |
| realized_mean | -0.0582 |
| realized_win_rate | 0.3636 |
| opening_car | -0.0110 |
| ci | [-0.0365, 0.0145] |
| p | 0.7267 |
| openings_priced | 26 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
6 trade(s) in the prior five trading days-2.25%
S&P 500 (SPY) daily move (Feb 3, 2014)
Right way.
5 trade(s) in the prior five trading days-1.97%
S&P 500 (SPY) daily move (Jul 31, 2014)
Right way.
9 trade(s) in the prior five trading days-1.98%
S&P 500 (SPY) daily move (Oct 9, 2014)
Wrong way.
6 trade(s) in the prior five trading days-2.98%
S&P 500 (SPY) daily move (Sep 1, 2015)
Right way.
1 trade(s) in the prior five trading days-2.18%
S&P 500 (SPY) daily move (Feb 2, 2018)
Right way.
1 trade(s) in the prior five trading days-4.18%
S&P 500 (SPY) daily move (Feb 5, 2018)
Right way.
1 trade(s) in the prior five trading days+1.97%
S&P 500 (SPY) daily move (Feb 6, 2018)
Wrong way.
3 trade(s) in the prior five trading days-2.5%
S&P 500 (SPY) daily move (Mar 22, 2018)
Right way.
3 trade(s) in the prior five trading days-2.13%
S&P 500 (SPY) daily move (Mar 23, 2018)
Right way.
3 trade(s) in the prior five trading days+2.74%
S&P 500 (SPY) daily move (Mar 26, 2018)
Wrong way.
6 trade(s) in the prior five trading days-2.23%
S&P 500 (SPY) daily move (Apr 6, 2018)
Right way.
1 trade(s) in the prior five trading days-3.03%
S&P 500 (SPY) daily move (Oct 24, 2018)
Wrong way.
3 trade(s) in the prior five trading days-3.24%
S&P 500 (SPY) daily move (Dec 4, 2018)
Right way.
1 trade(s) in the prior five trading days+5.05%
S&P 500 (SPY) daily move (Dec 26, 2018)
Wrong way.
10 trade(s) in the prior five trading days+3.35%
S&P 500 (SPY) daily move (Jan 4, 2019)
Wrong way.
3 trade(s) in the prior five trading days-9.57%
S&P 500 (SPY) daily move (Mar 12, 2020)
Right way.
3 trade(s) in the prior five trading days+8.55%
S&P 500 (SPY) daily move (Mar 13, 2020)
Wrong way.
3 trade(s) in the prior five trading days-10.94%
S&P 500 (SPY) daily move (Mar 16, 2020)
Right way.
3 trade(s) in the prior five trading days+5.4%
S&P 500 (SPY) daily move (Mar 17, 2020)
Wrong way.
3 trade(s) in the prior five trading days-5.06%
S&P 500 (SPY) daily move (Mar 18, 2020)
Right way.
2 trade(s) in the prior five trading days-2.91%
S&P 500 (SPY) daily move (Aug 5, 2024)
Right way.
1 trade(s) in the prior five trading days+2.49%
S&P 500 (SPY) daily move (Nov 6, 2024)
Right way.
1 trade(s) in the prior five trading days-5.85%
S&P 500 (SPY) daily move (Apr 4, 2025)
Right way.
1 trade(s) in the prior five trading days+10.5%
S&P 500 (SPY) daily move (Apr 9, 2025)
Wrong way.
1 trade(s) in the prior five trading days-4.38%
S&P 500 (SPY) daily move (Apr 10, 2025)
Right way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| NVDA NVIDIA Corporation | 22 | $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.
| Trade date | Asset | Type | Amount | Owner | Filed after | 5-day CAR | |
|---|---|---|---|---|---|---|---|
| Sep 4, 2026 | V V | Sale | $1,001 to $15K | unknown | 27 d | −0.4% | Senate eFD search |
| Sep 4, 2026 | V V | Sale | $1,001 to $15K | unknown | 27 d | −0.4% | Senate eFD search |
| Sep 4, 2026 | ADI ADI | Sale | $1,001 to $15K | unknown | 27 d | −1.4% | Senate eFD search |
| Sep 4, 2026 | JPM JPM | Sale | $15K to $50K | unknown | 27 d | +1.7% | Senate eFD search |
| Sep 4, 2026 | JPM JPM | Sale | $15K to $50K | unknown | 27 d | +1.7% | Senate eFD search |
| Aug 13, 2026 | LRCX LRCX | Sale | $1,001 to $15K | unknown | 20 d | +3.7% | Senate eFD search |
| Aug 13, 2026 | NVDA NVDA | Sale | $1,001 to $15K | unknown | 20 d | −0.3% | Senate eFD search |
| Aug 13, 2026 | NVDA NVDA | Sale | $15K to $50K | unknown | 20 d | −0.3% | Senate eFD search |
| Aug 12, 2026 | AMGN AMGNCommittee | Sale | $1,001 to $15K | unknown | 21 d | −5.9% | Senate eFD search |
| Jul 20, 2026 | LOW LOW | Sale | $1,001 to $15K | unknown | 14 d | −4.6% | Senate eFD search |
| Jun 30, 2026 | NVDA NVDA | Sale | $15K to $50K | unknown | 8 d | −2.3% | Senate eFD search |
| Jun 25, 2026 | CCI CCI | Sale | $1,001 to $15K | unknown | 13 d | +3.7% | Senate eFD search |
| Jun 25, 2026 | COHR COHR | Purchase | $15K to $50K | unknown | 13 d | −25.7% | Senate eFD search |
| Jun 25, 2026 | MU MU | Purchase | $1,001 to $15K | unknown | 13 d | −28.0% | Senate eFD search |
| Jun 24, 2026 | AAPL AAPL | Sale | $15K to $50K | unknown | 14 d | +1.4% | Senate eFD search |
| Jun 24, 2026 | AAPL AAPL | Sale | $15K to $50K | unknown | 14 d | +1.4% | Senate eFD search |
| May 8, 2026 | NVDA NVDA | Sale | $100K to $250K | unknown | 25 d | −4.1% | Senate eFD search |
| May 8, 2026 | NVDA NVDA | Sale | $100K to $250K | unknown | 25 d | −4.1% | Senate eFD search |
| May 7, 2026 | ORCL ORCL | Sale | $15K to $50K | unknown | 26 d | +2.7% | Senate eFD search |
| Apr 13, 2026 | JPM JPM | Sale | $15K to $50K | unknown | 21 d | +2.4% | Senate eFD search |
| Mar 30, 2026 | PEP PEP | Sale | $1,001 to $15K | unknown | 9 d | +3.3% | Senate eFD search |
| Feb 23, 2026 | MA MA | Sale | $1,001 to $15K | unknown | 11 d | −4.6% | Senate eFD search |
| Feb 23, 2026 | VZ VZ | Sale | $1,001 to $15K | unknown | 11 d | −0.6% | Senate eFD search |
| Feb 23, 2026 | PEP PEP | Sale | $1,001 to $15K | unknown | 11 d | +0.5% | Senate eFD search |
| Feb 23, 2026 | HD HD | Sale | $1,001 to $15K | unknown | 11 d | +1.6% | Senate eFD search |
| Feb 23, 2026 | PEP PEP | Sale | $1,001 to $15K | unknown | 11 d | +0.5% | Senate eFD search |
| Jan 9, 2026 | HD HD | Sale | $1,001 to $15K | unknown | 26 d | −2.0% | Senate eFD search |
| Jan 9, 2026 | SBUX SBUX | Sale | $1,001 to $15K | unknown | 26 d | −5.3% | Senate eFD search |
| Jan 9, 2026 | MCD MCD | Sale | $15K to $50K | unknown | 26 d | +0.1% | Senate eFD search |
| Jan 9, 2026 | SBUX SBUX | Sale | $1,001 to $15K | unknown | 26 d | −5.3% | Senate eFD search |
| Jan 9, 2026 | NVDA NVDA | Sale | $1,001 to $15K | unknown | 26 d | −1.3% | Senate eFD search |
| Jan 9, 2026 | NVDA NVDA | Sale | $1,001 to $15K | unknown | 26 d | −1.3% | Senate eFD search |
| Nov 21, 2025 | HSY HSY | Purchase | $1,001 to $15K | unknown | 10 d | −1.1% | Senate eFD search |
| Nov 21, 2025 | KO KO | Purchase | $1,001 to $15K | unknown | 10 d | −1.1% | Senate eFD search |
| Nov 21, 2025 | GH GHCommittee | Purchase | $1,001 to $15K | unknown | 10 d | −5.6% | Senate eFD search |
| Oct 27, 2025 | PGR PGR | Sale | $15K to $50K | unknown | 7 d | +5.9% | Senate eFD search |
| Oct 20, 2025 | NVDA NVDA | Sale | $15K to $50K | unknown | 14 d | −0.8% | Senate eFD search |
| Sep 4, 2025 | UNH UNHCommittee | Sale | $15K to $50K | unknown | 29 d | −14.6% | Senate eFD search |
| Sep 4, 2025 | AAPL AAPL | Sale | $15K to $50K | unknown | 29 d | +5.2% | Senate eFD search |
| Sep 4, 2025 | VZ VZ | Sale | $1,001 to $15K | unknown | 29 d | +0.3% | Senate eFD search |
| Sep 4, 2025 | AMGN AMGNCommittee | Sale | $1,001 to $15K | unknown | 29 d | −0.6% | Senate eFD search |
| Sep 4, 2025 | HON HON | Sale | $15K to $50K | unknown | 29 d | +1.1% | Senate eFD search |
| Sep 4, 2025 | NVDA NVDA | Sale | $15K to $50K | unknown | 29 d | −0.2% | Senate eFD search |
| Sep 4, 2025 | MSFT MSFT | Sale | $15K to $50K | unknown | 29 d | +2.8% | Senate eFD search |
| Aug 28, 2025 | KVUE KVUE | Sale | $1,001 to $15K | unknown | 6 d | +9.3% | Senate eFD search |
| Aug 28, 2025 | LRCX LRCX | Sale | $15K to $50K | unknown | 6 d | +0.6% | Senate eFD search |
| Aug 28, 2025 | UNH UNHCommittee | Sale | $15K to $50K | unknown | 6 d | −5.7% | Senate eFD search |
| Aug 28, 2025 | DHR DHRCommittee | Sale | $1,001 to $15K | unknown | 6 d | +1.3% | Senate eFD search |
| Jul 7, 2025 | NVDA NVDA | Sale | $15K to $50K | unknown | 28 d | −2.2% | Senate eFD search |
| Jul 3, 2025 | ADI ADI | Sale | $15K to $50K | unknown | 32 d | −0.3% | Senate eFD search |