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U.S. Senate

Sen. Shelley Moore Capito

Republican · Senator from WV

AppropriationsCommerce, Science, and TransportationEnvironment and Public WorksRules and Administration
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on disclosure timeliness, policy-topic overlap, short-swing round trips.

Trades disclosed
583
Dec 6, 2013 to Jul 21, 2026
Companies traded
216
Disclosed value
$1.2M–$10.2M
Sum of reported ranges
Filed after 45 days
8
Median filing lag 26 days

Scorecard

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

T7Disclosure timeliness13 of 583 trades (2.2%) were disclosed late; median lag 26 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 0.022, Wilson [0.014, 0.035]; 90th percentile lag 39 days; longest 589 days.

Evidence
Descriptive
Late share
2.2% [1.4%, 3.5%] 90%
0Estimate
This member2.2%
All computed statistics (15)
n583
amendment_rows_excluded0
late13
late_from_trade13
excused_by_notification0
late_share0.0223
late_ci[0.0142, 0.0348]
median_lag26
p90_lag39
max_lag589
filings100
late_filings8
late_priced4
timely_priced473
late_priced_dates1
T9Policy-topic overlap66 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved +1.51% in the trade's favour, +1.83% relative to the member's other trades.Open question

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 = 0.0151; pre-event minus other trades = 0.0183 [0.0011, 0.0374], p = 0.052; mean pre-trade drift psi = -0.0009.

Evidence
Statistical
Pre-event minus other trades, signed CAR
+1.83% [+0.11%, +3.74%] 90%
p-value
0.052
Holm-adjusted p
0.468
BH q-value
0.481
Margin δ
0.5% per trade
Robust to variants
Yes
0δEstimate
This member+1.83%
All computed statistics (13)
n66
n_other411
theta90.0151
diff0.0183
ci[0.0011, 0.0374]
p0.0520
pre_trade_drift-9.38e-4
pre_trade_drift_significantfalse
events2643
events_by_kind[object Object]
affected_share_of_priced_trades0.1384
trade_dates45
placebo_reading–
Robustness variantReadingEstimate
Window 15 daysOpen question+1.60%
Window 60 daysOpen question+1.77%
Excluding largest batch dateOpen question+1.89%
Placebo: month after events–
T15Short-swing round trips29 buy-and-sell round trips within six months; in the month after opening, those positions moved +2.93% in the trade's favour relative to the market.Open question

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) 0.0293 [0.0019, 0.0566], t_KP = 1.65, over 25 priced openings. Realized market-adjusted return to the closing trade averaged +4.46% (win rate 56%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+2.93% [+0.19%, +5.66%] 90%
p-value
0.056
Holm-adjusted p
0.468
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+2.93%
All computed statistics (9)
round_trips29
share_in_round_trips0.1056
priced25
realized_mean0.0446
realized_win_rate0.5600
opening_car0.0293
ci[0.0019, 0.0566]
p0.0558
openings_priced25
T1Trade size95% of 549 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 0.949, 90% Wilson [0.931, 0.962]. 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
94.9% [93.1%, 96.2%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member94.9%
All computed statistics (9)
n549
lowest_band_share0.9490
lowest_band_ci[0.9312, 0.9624]
share_over_50k0.0036
max_z0
size_gap0
size_gap_p1
event_linked40
event_linked_outliers0
T2Breadth and concentration183 different companies; the effective number of equally sized positions is 38 and trading spans 80% 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 0.026 (identified set [0.007, 0.188]); trade-count HHI 0.013 vs. 95th percentile 0.005 of 549 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.80 [0.71, 0.84]. Top three issuers (UBSI, WFC, MSFT) carry at least 4% of dollar volume.

Evidence
Statistical
Effective number of issuers
38 [5, 140] 90%
0Estimate
This member38
All computed statistics (13)
n549
issuers183
hhi_mid0.0264
hhi_bounds[0.0072, 0.1881]
n_eff37.8972
hhi_count0.0133
peer_benchmark_p950.0050
peer_benchmark_p0.0020
sector_entropy0.8026
sector_entropy_ci[0.7070, 0.8381]
top3_share_lower0.0445
top3[UBSI, WFC, MSFT]
top3_tied_to_eventstrue
T3Cadence and event proximity23% of trading days were batches of three or more companies; 17% of trades look routine; 7.3% of trades came within five trading days before a large company-specific move (chance alone: 6.4%).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 39/172, Wilson [0.18, 0.28]; index of dispersion 20.19 (chi-square p = 0); routine share 0.17 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.073 vs. circular-shift null mean 0.064, p = 0.254.

Evidence
Statistical
Batch-day share
22.7% [17.9%, 28.3%] 90%
p-value
0.254
Holm-adjusted p
1.000
BH q-value
0.678
0Estimate
This member22.7%
All computed statistics (14)
n549
trade_days172
batch_share_trades0.6995
batch_day_share0.2267
batch_day_ci[0.1787, 0.2833]
dispersion_index20.1884
dispersion_p0
routine_share0.1658
proximity_share0.0729
proximity_null_mean0.0641
proximity_null_p950.1004
proximity_p0.2540
proximity_nonroutine0.0677
proximity_routine0.0989
T8Committee overlap14% of the member's mapped trading by dollar value was in industries their committees oversee, against 22% 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 SSAP, SSCM, SSEV, SSRA; jurisdiction sectors Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Commodity Chemicals, Communication Services, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, Water Utilities. Dollar share 0.136 (identified set [0.016, 0.591], bootstrap 0.101-0.177); benchmarks S&P 500 0.186, congressional peers 0.217.

Evidence
Descriptive
Jurisdiction excess share
-8.1% [-11.7%, -4.1%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-8.1%
All computed statistics (15)
n474
in_jurisdiction_trades74
share0.1363
share_bounds[0.0162, 0.5906]
share_ci[0.1008, 0.1768]
benchmark_sp5000.1861
benchmark_peers0.2175
excess-0.0812
excess_ci[-0.1167, -0.0407]
committees[SSAP, SSCM, SSEV, SSRA]
jurisdiction_sectors[Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Commodity Chemicals, Communication Services, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, 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 54% 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 -0.0007, 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-6.75e-4
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.5373
members_compared134
lower95-0.0058
T12Anticipation of large stock moves76 trades were followed within two weeks by a large company-specific move; 33 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 0.43, Clopper-Pearson [0.34, 0.53], exact one-sided p = 0.897; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
43.4% [33.7%, 53.5%] 90%
p-value
0.897
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member43.4%
All computed statistics (6)
n76
hits33
hit_rate0.4342
ci[0.3374, 0.5350]
priced477
share_followed0.1593
T13Co-trading with other members17% of trades had another member trading the same stock the same way within a week (chance alone: 17%).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 0.166; circular-shift null mean 0.169, 95th pct 0.199, p = 0.590. Co-traded signed CAR -0.0014, p = 0.450.

Evidence
Statistical
Co-traded share
16.6%
p-value
0.450
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n549
cotraded_share0.1658
null_mean0.1692
null_p950.1991
excess_p0.5900
cotraded_share_wo_top0.1548
excess_p_wo_top0.4100
cotraded_car-0.0014
cotraded_car_ci[-0.0279, 0.0250]
cotraded_car_p0.4500
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit15.5%
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 477 priced trades, purchases and sales moved 0.07% 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) = -0.0007; 90% KP interval [-0.0302, 0.0289]; t_BMP = -0.03, r-bar = 0.066, t_KP = -0.01, Patell Z = -0.04, Corrado Z = 0.49. Dollar-weighted identified set [-0.0632, 0.0448]. Calendar-time alpha -4.70%/yr (NW t = -0.47, 1649 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.07% [−3.02%, +2.89%] 90%
p-value
0.682
Holm-adjusted p
1.000
BH q-value
0.983
Margin δ
0.5% per trade over 21 days
Robust to variants
Yes
0δEstimate
This member−0.07%
All computed statistics (16)
n477
theta-6.75e-4
ci[-0.0302, 0.0289]
p0.5023
t_kp-0.0058
rbar0.0660
se_cs0.0030
se_kp0.0179
t_cs-0.2219
t_bmp-0.0339
patell_z-0.0367
corrado_z0.4920
dollar_weighted_bounds[-0.0632, 0.0448]
calendar_time[object Object]
calendar_alpha_ci[-8.34e-4, 4.61e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.37%
Horizon 63 daysOpen question−0.08%
Excluding largest batch dateOpen question−0.05%
Self-owned accounts onlyOpen question+1.08%
Dollar-weighted (bounds)Open question+4.48%
Calendar-time alpha (annualized)−4.70%
T5Direction before market-wide shocksBefore 10 large market moves, the member's net trading pointed the right way 5 times.Inconclusive (too few trades)

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 0.50, Clopper-Pearson 90% [0.22, 0.78]; exact one-sided p = 0.623; magnitude-weighted sign-flip p = 0.537. 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
50.0% [22.2%, 77.8%] 90%
p-value
0.623
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member50.0%
All computed statistics (7)
n_episodes10
hits5
hit_rate0.5000
ci[0.2224, 0.7776]
p_exact0.6230
p_magnitude0.5369
episodes[[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]]
T6Control and independenceTrading arrangement: not documented; trading during absence ran at nan times the normal rate.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
Trading arrangement: not documented; trading during absence ran at nan times the normal rate.

Evidence
Statistical
All computed statistics (6)
rate_ratio–
rate_ratio_ci[0, –]
rate_ratio_batchdays–
rate_ratio_batchdays_ci[0, –]
absence_days0
trades_in_absence0
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 2023-06-07 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2023-06-07
changepoint_LR27.5141
changepoint_p0.0020
tradeday_rate_before0.0438
tradeday_rate_after0.0994
T14Family-account trades92% of trades were in family accounts; those moved -0.39% 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 -0.0039 [-0.0293, 0.0214], t_KP = -0.11; family minus self -0.0147 [-0.0617, 0.0388], p = 0.857.

Evidence
Statistical
Family-account signed CAR
−0.39% [−2.93%, +2.14%] 90%
p-value
0.544
Holm-adjusted p
1.000
BH q-value
0.908
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.39%
All computed statistics (8)
family_trades307
family_share0.9247
owner_unknown217
family_car-0.0039
family_ci[-0.0293, 0.0214]
diff-0.0147
diff_ci[-0.0617, 0.0388]
diff_p0.8566

Documented episodes

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

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

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

Wrong way.

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

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

Wrong 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
–
2 trade(s) in the prior five trading days
-3.24%

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

Right way.

Market move on 2020-03-04
–
4 trade(s) in the prior five trading days
+4.2%

S&P 500 (SPY) daily move (Mar 4, 2020)

Right way.

Market move on 2020-03-05
–
4 trade(s) in the prior five trading days
-3.32%

S&P 500 (SPY) daily move (Mar 5, 2020)

Wrong way.

Market move on 2020-03-09
–
4 trade(s) in the prior five trading days
-7.81%

S&P 500 (SPY) daily move (Mar 9, 2020)

Wrong way.

Market move on 2020-03-10
–
4 trade(s) in the prior five trading days
+5.17%

S&P 500 (SPY) daily move (Mar 10, 2020)

Right way.

Market move on 2024-07-24
–
3 trade(s) in the prior five trading days
-2.27%

S&P 500 (SPY) daily move (Jul 24, 2024)

Right way.

Market move on 2024-12-18
–
3 trade(s) in the prior five trading days
-2.98%

S&P 500 (SPY) daily move (Dec 18, 2024)

Right way.

Disclosed trades per monthPurchasesSales
2014201520162017201820192020202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
MSFT Microsoft Corporation36$92K to $680K
UBSI United Bankshares, Inc.4$180K to $450K
WFC Wells Fargo & Company13$97K to $405K
AAPL Apple Inc.20$34K to $335K
BBT (Exchanged) Truist Financial Corporation (Received)1$100K to $250K
C Citigroup Inc.12$26K to $215K
JPM JPMorgan Chase & Co.14$14K to $210K
INTC Intel Corporation9$37K to $205K

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
583 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jul 21, 2026CSCO CSCOSale$1,001 to $15Kunknown14 d−3.0%Senate eFD search
Jul 21, 2026MSFT MSFTSale$15K to $50Kunknown14 d−0.5%Senate eFD search
Jul 21, 2026AAPL AAPLSale$1,001 to $15Kunknown14 d−4.2%Senate eFD search
Jul 21, 2026INTC INTCCommitteeSale$1,001 to $15Kunknown14 d+19.8%Senate eFD search
Jul 21, 2026KO KOSale$1,001 to $15Kunknown14 d−6.9%Senate eFD search
Apr 17, 2026CEG CEGCommitteeSale$1,001 to $15Kunknown20 d−4.9%Senate eFD search
Apr 17, 2026AAPL AAPLSale$1,001 to $15Kunknown20 d+0.3%Senate eFD search
Apr 13, 2026AVGO AVGOCommitteeSale$1,001 to $15Kunknown24 d+1.4%Senate eFD search
Mar 31, 2026FDS FDSSale$1,001 to $15Kunknown4 d−2.5%Senate eFD search
Mar 28, 2026MA MAPurchase$1,001 to $15Kunknown15 d−1.9%Senate eFD search
Mar 26, 2026FDS FDSSale$1,001 to $15Kunknown9 d−16.1%Senate eFD search
Mar 25, 2026FDS FDSSale$1,001 to $15Kunknown10 d−17.1%Senate eFD search
Mar 12, 2026PNC PNCPurchase$1,001 to $15Kunknown23 d+0.4%Senate eFD search
Mar 11, 2026AXP AXPPurchase$1,001 to $15Kunknown24 d−1.1%Senate eFD search
Feb 24, 2026ITW ITWSale$1,001 to $15Kunknown8 d+1.9%Senate eFD search
Feb 20, 2026PAYX PAYXSale$1,001 to $15Kunknown12 d−3.8%Senate eFD search
Feb 10, 2026BLK BLKSale$1,001 to $15Kunknown22 d−1.4%Senate eFD search
Feb 10, 2026ADI ADICommitteeSale$1,001 to $15Kunknown22 d−7.5%Senate eFD search
Feb 9, 2026AVGO AVGOCommitteePurchase$1,001 to $15Kunknown23 d−1.1%Senate eFD search
Jan 28, 2026SBUX SBUXSale$1,001 to $15Kunknown8 d−3.9%Senate eFD search
Dec 16, 2025MSFT MSFTSale$1,001 to $15Kunknown21 d−0.6%Senate eFD search
Dec 16, 2025AAPL AAPLSale$1,001 to $15Kunknown21 d+2.8%Senate eFD search
Dec 16, 2025GOOGL GOOGLCommitteeSale$1,001 to $15Kunknown21 d−0.3%Senate eFD search
Dec 11, 2025K KSale$1,001 to $15Kunknown26 d–Senate eFD search
Nov 13, 2025META METACommitteePurchase$1,001 to $15Kunknown21 d+0.4%Senate eFD search
Nov 13, 2025LOW LOWSale$1,001 to $15Kunknown21 d−1.0%Senate eFD search
Nov 13, 2025PAYX PAYXSale$1,001 to $15Kunknown21 d+0.7%Senate eFD search
Oct 29, 2025MSFT MSFTSale$15K to $50Kunknown6 d+5.3%Senate eFD search
Oct 29, 2025IBM IBMSale$15K to $50Kunknown6 d−0.2%Senate eFD search
Oct 24, 2025LLY LLYPurchase$1,001 to $15Kunknown11 d+4.5%Senate eFD search
Oct 22, 2025MSFT MSFTSale$1,001 to $15Kunknown13 d−1.1%Senate eFD search
Oct 21, 2025LOW LOWSale$1,001 to $15Kunknown14 d+1.3%Senate eFD search
Oct 21, 2025PAYX PAYXSale$1,001 to $15Kunknown14 d+4.1%Senate eFD search
Oct 20, 2025LOW LOWSale$1,001 to $15Kunknown15 d+0.1%Senate eFD search
Oct 17, 2025CVX CVXSale$1,001 to $15Kunknown18 d−0.3%Senate eFD search
Oct 17, 2025COST COSTSale$1,001 to $15Kunknown18 d+1.6%Senate eFD search
Sep 18, 2025AAPL AAPLSale$15K to $50Kunknown17 d−8.6%Senate eFD search
Sep 18, 2025MSFT MSFTSale$15K to $50Kunknown17 d+0.1%Senate eFD search
Aug 4, 2025BLK BLKSale$1,001 to $15Kunknown30 d−0.2%Senate eFD search
Aug 1, 2025PLD PLDPurchase$1,001 to $15Kunknown33 d−0.9%Senate eFD search
Aug 1, 2025SHW SHWPurchase$1,001 to $15Kunknown33 d+1.0%Senate eFD search
Jul 31, 2025GD GDCommitteeSale$1,001 to $15Kunknown4 d−0.5%Senate eFD search
Jul 31, 2025PPG PPGSale$1,001 to $15Kunknown4 d−1.1%Senate eFD search
Jul 31, 2025CL CLSale$1,001 to $15Kunknown4 d−1.3%Senate eFD search
Jul 30, 2025PPG PPGSale$1,001 to $15Kunknown5 d−0.2%Senate eFD search
Jul 29, 2025GOOGL GOOGLCommitteePurchase$1,001 to $15Kunknown6 d+0.7%Senate eFD search
Jul 29, 2025META METACommitteePurchase$1,001 to $15Kunknown6 d+10.3%Senate eFD search
Jul 18, 2025JPM JPMSale$1,001 to $15Kunknown17 d−0.7%Senate eFD search
Jul 18, 2025AVGO AVGOCommitteeSale$1,001 to $15Kunknown17 d+1.6%Senate eFD search
Jul 18, 2025MSFT MSFTSale$1,001 to $15Kunknown17 d+0.7%Senate eFD search