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U.S. Senate

Sen. Jerry Moran

Republican · Senator from KS

Indian AffairsIntelligenceAgriculture, Nutrition, and ForestryAppropriationsCommerce, Science, and TransportationVeterans' Affairs
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on breadth and concentration, disclosure timeliness, short-swing round trips.

Trades disclosed
238
Dec 6, 2018 to Jun 23, 2026
Companies traded
49
Disclosed value
$378.2K–$3.9M
Sum of reported ranges
Filed after 45 days
2
Median filing lag 31 days

Scorecard

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

T2Breadth and concentration45 different companies; the effective number of equally sized positions is 25 and trading spans 77% of maximum sector diversity.Open question

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 0.040 (identified set [0.023, 0.329]); trade-count HHI 0.033 vs. 95th percentile 0.008 of 231 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.77 [0.69, 0.81]. Top three issuers (BRK.B, JNK, WFC) carry at least 3% of dollar volume.

Evidence
Statistical
Effective number of issuers
25 [3, 44] 90%
0Estimate
This member25
All computed statistics (13)
n231
issuers45
hhi_mid0.0398
hhi_bounds[0.0227, 0.3288]
n_eff25.1354
hhi_count0.0326
peer_benchmark_p950.0079
peer_benchmark_p0.0020
sector_entropy0.7677
sector_entropy_ci[0.6933, 0.8070]
top3_share_lower0.0344
top3[BRK.B, JNK, WFC]
top3_tied_to_eventstrue
T7Disclosure timeliness59 of 238 trades (24.8%) were disclosed late; median lag 31 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 0.248, Wilson [0.205, 0.297]; 90th percentile lag 160 days; longest 413 days.

Evidence
Descriptive
Late share
24.8% [20.5%, 29.7%] 90%
0Estimate
This member24.8%
All computed statistics (15)
n238
amendment_rows_excluded0
late59
late_from_trade59
excused_by_notification0
late_share0.2479
late_ci[0.2049, 0.2966]
median_lag31
p90_lag160
max_lag413
filings14
late_filings2
late_priced48
timely_priced166
late_priced_dates2
T15Short-swing round trips17 buy-and-sell round trips within six months; in the month after opening, those positions moved +1.44% 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) 0.0144 [-0.0257, 0.0544], t_KP = 0.42, over 14 priced openings. Realized market-adjusted return to the closing trade averaged +6.32% (win rate 43%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+1.44% [−2.57%, +5.44%] 90%
p-value
0.341
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+1.44%
All computed statistics (9)
round_trips17
share_in_round_trips0.1472
priced14
realized_mean0.0632
realized_win_rate0.4286
opening_car0.0144
ci[-0.0257, 0.0544]
p0.3413
openings_priced14
T1Trade size96% of 231 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 0.957, 90% Wilson [0.929, 0.974]. 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
95.7% [92.9%, 97.4%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member95.7%
All computed statistics (9)
n231
lowest_band_share0.9567
lowest_band_ci[0.9289, 0.9739]
share_over_50k0
max_z0
size_gap0
size_gap_p1
event_linked4
event_linked_outliers0
T3Cadence and event proximity50% of trading days were batches of three or more companies; 34% of trades look routine; 1.7% of trades came within five trading days before a large company-specific move (chance alone: 6.8%).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 7/14, Wilson [0.30, 0.70]; index of dispersion 32.08 (chi-square p = 0); routine share 0.34 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.017 vs. circular-shift null mean 0.068, p = 0.968.

Evidence
Statistical
Batch-day share
50.0% [29.9%, 70.1%] 90%
p-value
0.968
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member50.0%
All computed statistics (14)
n231
trade_days14
batch_share_trades0.9091
batch_day_share0.5000
batch_day_ci[0.2988, 0.7012]
dispersion_index32.0765
dispersion_p0
routine_share0.3420
proximity_share0.0173
proximity_null_mean0.0684
proximity_null_p950.1558
proximity_p0.9680
proximity_nonroutine0.0263
proximity_routine0
T8Committee overlap32% of the member's mapped trading by dollar value was in industries their committees oversee, against 25% 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 SLIA, SLIN, SSAF, SSAP, SSCM, SSVA; jurisdiction sectors Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care Facilities, Health Care Services, Interactive Media & Services, Packaged Foods & Meats, Passenger Airlines, Rail Transportation, Semiconductors, Systems Software, Timber REITs. Dollar share 0.316 (identified set [0.037, 0.843], bootstrap 0.224-0.371); benchmarks S&P 500 0.208, congressional peers 0.246.

Evidence
Descriptive
Jurisdiction excess share
7.0% [-2.2%, 12.6%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member7.0%
All computed statistics (15)
n214
in_jurisdiction_trades73
share0.3158
share_bounds[0.0366, 0.8426]
share_ci[0.2237, 0.3714]
benchmark_sp5000.2079
benchmark_peers0.2455
excess0.0702
excess_ci[-0.0218, 0.1259]
committees[SLIA, SLIN, SSAF, SSAP, SSCM, SSVA]
jurisdiction_sectors[Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care Facilities, Health Care Services, Interactive Media & Services, Packaged Foods & Meats, Passenger Airlines, Rail Transportation, Semiconductors, Systems Software, Timber REITs]
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 46% 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 -0.0029, 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-0.0029
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.4627
members_compared134
lower95-0.0058
T12Anticipation of large stock moves29 trades were followed within two weeks by a large company-specific move; 7 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 0.24, Clopper-Pearson [0.12, 0.41], exact one-sided p = 0.999; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
24.1% [11.9%, 40.6%] 90%
p-value
0.999
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member24.1%
All computed statistics (6)
n29
hits7
hit_rate0.2414
ci[0.1192, 0.4060]
priced216
share_followed0.1343
T13Co-trading with other members21% of trades had another member trading the same stock the same way within a week (chance alone: 25%).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 0.208; circular-shift null mean 0.252, 95th pct 0.333, p = 0.820. Co-traded signed CAR -0.0002, p = 0.485.

Evidence
Statistical
Co-traded share
20.8%
p-value
0.485
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n231
cotraded_share0.2078
null_mean0.2524
null_p950.3333
excess_p0.8200
cotraded_share_wo_top0.1861
excess_p_wo_top0.7400
cotraded_car-2.28e-4
cotraded_car_ci[-0.0329, 0.0324]
cotraded_car_p0.4850
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit18.6%
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 214 priced trades, purchases and sales moved 0.29% 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) = -0.0029; 90% KP interval [-0.0327, 0.0269]; t_BMP = -0.91, r-bar = 0.063, t_KP = -0.23, Patell Z = -0.99, Corrado Z = -0.12. Dollar-weighted identified set [-0.0638, 0.0641]. Calendar-time alpha 11.56%/yr (NW t = 0.48, 279 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.29% [−3.27%, +2.69%] 90%
p-value
0.591
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−0.29%
All computed statistics (16)
n214
theta-0.0029
ci[-0.0327, 0.0269]
p0.5915
t_kp-0.2317
rbar0.0627
se_cs0.0046
se_kp0.0180
t_cs-0.6307
t_bmp-0.9064
patell_z-0.9935
corrado_z-0.1246
dollar_weighted_bounds[-0.0638, 0.0641]
calendar_time[object Object]
calendar_alpha_ci[-0.0011, 0.0020]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.07%
Horizon 63 daysOpen question−0.87%
Excluding largest batch dateOpen question−0.36%
Self-owned accounts onlyOpen question−0.53%
Dollar-weighted (bounds)Open question+6.41%
Calendar-time alpha (annualized)+11.56%
T5Direction before market-wide shocksBefore 8 large market moves, the member's net trading pointed the right way 4 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% [0.19, 0.81]; exact one-sided p = 0.637; magnitude-weighted sign-flip p = 0.386. 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% [19.3%, 80.7%] 90%
p-value
0.637
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_episodes8
hits4
hit_rate0.5000
ci[0.1929, 0.8071]
p_exact0.6367
p_magnitude0.3860
episodes[[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]]
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 overlap54 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -0.08% in the trade's favour, +0.28% 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 = -0.0008; pre-event minus other trades = 0.0028 [-0.0119, 0.0244], p = 0.434; mean pre-trade drift psi = -0.0069.

Evidence
Statistical
Pre-event minus other trades, signed CAR
+0.28% [−1.19%, +2.44%] 90%
p-value
0.434
Holm-adjusted p
1.000
BH q-value
0.848
Margin δ
0.5% per trade
Robust to variants
Yes
0δEstimate
This member+0.28%
All computed statistics (13)
n54
n_other160
theta9-7.96e-4
diff0.0028
ci[-0.0119, 0.0244]
p0.4340
pre_trade_drift-0.0069
pre_trade_drift_significantfalse
events3017
events_by_kind[object Object]
affected_share_of_priced_trades0.2500
trade_dates10
placebo_readingopen_question
Robustness variantReadingEstimate
Window 15 daysOpen question+0.47%
Window 60 daysOpen question+0.28%
Excluding largest batch dateOpen question+0.39%
Placebo: month after events+1.79%
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 2018-12-20 (permutation p = 0.050).

Evidence
Descriptive
All computed statistics (5)
changepoint2018-12-20
changepoint_LR9.7697
changepoint_p0.0500
tradeday_rate_before0.2000
tradeday_rate_after0.0061
T14Family-account trades42% of trades were in family accounts; those moved -0.80% 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 -0.0080 [-0.0423, 0.0262], t_KP = -0.35; family minus self -0.0028 [-0.0260, 0.0027], p = 0.652.

Evidence
Statistical
Family-account signed CAR
−0.80% [−4.23%, +2.62%] 90%
p-value
0.637
Holm-adjusted p
1.000
BH q-value
0.908
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.80%
All computed statistics (8)
family_trades55
family_share0.4167
owner_unknown99
family_car-0.0080
family_ci[-0.0423, 0.0262]
diff-0.0028
diff_ci[-0.0260, 0.0027]
diff_p0.6520

Documented episodes

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

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

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

Wrong way.

Market move on 2020-03-11
–
4 trade(s) in the prior five trading days
-4.87%

S&P 500 (SPY) daily move (Mar 11, 2020)

Right way.

Market move on 2020-03-12
–
4 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
–
4 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
–
4 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
–
4 trade(s) in the prior five trading days
+5.4%

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

Wrong way.

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

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

Right way.

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

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

Wrong way.

Disclosed trades per monthPurchasesSales
20192020202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
BRK.B Berkshire Hathaway Inc.20$62K to $405K
GOOG Alphabet Inc.14$14K to $210K
AAPL Apple Inc.12$12K to $180K
XOM Exxon Mobil Corporation10$10K to $150K
WFC Wells Fargo & Company7$21K to $140K
COST Costco Wholesale Corporation9$9,009 to $135K
DIS The Walt Disney Company6$20K to $125K
USB U.S. Bancorp8$8,008 to $120K

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
238 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jun 23, 2026GOOG GOOGCommitteePurchase$1,001 to $15Kunknown28 d−1.6%Senate eFD search
Jun 23, 2026BRK.B BRK.BPurchase$15K to $50Kunknown28 d+1.5%Senate eFD search
May 27, 2026BRK.B BRK.BPurchase$1,001 to $15Kunknown29 d−0.8%Senate eFD search
May 27, 2026BRK.B BRK.BPurchase$1,001 to $15Kunknown29 d−0.8%Senate eFD search
May 27, 2026BRK.B BRK.BPurchase$1,001 to $15Kunknown29 d−0.8%Senate eFD search
May 27, 2026BRK.B BRK.BPurchase$1,001 to $15Kunknown29 d−0.8%Senate eFD search
May 27, 2026GOOG GOOGCommitteeSale$1,001 to $15Kunknown29 d+9.4%Senate eFD search
Sep 23, 2025GOOG GOOGCommitteeSale$1,001 to $15Kunknown34 d+4.2%Senate eFD search
Sep 23, 2025GOOG GOOGCommitteeSale$1,001 to $15Kunknown34 d+4.2%Senate eFD search
Sep 23, 2025BRK.B BRK.BPurchase$1,001 to $15Kunknown34 d+1.6%Senate eFD search
May 8, 2025GOOG GOOGCommitteePurchase$1,001 to $15Kunknown41 d+1.0%Senate eFD search
May 8, 2025GOOG GOOGCommitteePurchase$1,001 to $15Kunknown41 d+1.0%Senate eFD search
May 8, 2025GOOG GOOGCommitteePurchase$1,001 to $15Kunknown41 d+1.0%Senate eFD search
May 8, 2025GOOG GOOGCommitteePurchase$1,001 to $15Kunknown41 d+1.0%Senate eFD search
Dec 16, 2024BRK.B BRK.BPurchase$1,001 to $15Kunknown33 d+0.3%Senate eFD search
Jul 29, 2024BRK.B BRK.BSale$1,001 to $15Kunknown31 d+3.0%Senate eFD search
Jul 29, 2024BRK.B BRK.BSale$1,001 to $15Kunknown31 d+3.0%Senate eFD search
Jul 29, 2024BRK.B BRK.BSale$1,001 to $15Kunknown31 d+3.0%Senate eFD search
Jul 29, 2024BRK.B BRK.BSale$15K to $50Kunknown31 d+3.0%Senate eFD search
Dec 14, 2023CI CICommitteeSale$1,001 to $15Kunknown34 d+0.5%Senate eFD search
Dec 14, 2023KMB KMBSale$1,001 to $15Kunknown34 d+1.0%Senate eFD search
Dec 14, 2023INTC INTCCommitteeSale$1,001 to $15Kunknown34 d−2.9%Senate eFD search
Dec 14, 2023INTC INTCCommitteeSale$1,001 to $15Kunknown34 d−2.9%Senate eFD search
Dec 14, 2023XOM XOMSale$1,001 to $15Kunknown34 d+0.1%Senate eFD search
Dec 14, 2023AMZN AMZNSale$1,001 to $15Kunknown34 d−2.7%Senate eFD search
Dec 14, 2023GOOG GOOGCommitteeSale$1,001 to $15Kunknown34 d−5.0%Senate eFD search
Dec 14, 2023GOOG GOOGCommitteeSale$1,001 to $15Kunknown34 d−5.0%Senate eFD search
Dec 14, 2023KR KRSale$1,001 to $15Kunknown34 d−3.1%Senate eFD search
Dec 14, 2023KMB KMBSale$1,001 to $15Kunknown34 d+1.0%Senate eFD search
Dec 14, 2023PFE PFESale$1,001 to $15Kunknown34 d−9.2%Senate eFD search
Dec 14, 2023CI CICommitteeSale$1,001 to $15Kunknown34 d+0.5%Senate eFD search
Dec 14, 2023XOM XOMSale$1,001 to $15Kunknown34 d+0.1%Senate eFD search
Dec 14, 2023HAL HALSale$15K to $50Kunknown34 d−1.4%Senate eFD search
Dec 14, 2023CMCSA CMCSACommitteeSale$1,001 to $15Kunknown34 d+2.3%Senate eFD search
Dec 14, 2023PII PIISale$1,001 to $15Kunknown34 d−1.5%Senate eFD search
Dec 14, 2023DVA DVACommitteeSale$1,001 to $15Kunknown34 d+2.7%Senate eFD search
Dec 14, 2023JNJ JNJSale$1,001 to $15Kunknown34 d+1.0%Senate eFD search
Dec 14, 2023AAPL AAPLSale$1,001 to $15Kunknown34 d+2.7%Senate eFD search
Dec 14, 2023JNJ JNJSale$1,001 to $15Kunknown34 d+1.0%Senate eFD search
Dec 14, 2023CVX CVXSale$1,001 to $15Kunknown34 d−0.6%Senate eFD search
Dec 14, 2023BAC BACSale$1,001 to $15Kunknown34 d+2.2%Senate eFD search
Dec 14, 2023CSCO CSCOSale$1,001 to $15Kunknown34 d−0.0%Senate eFD search
Dec 14, 2023BRK.B BRK.BPurchase$1,001 to $15Kunknown34 d−1.1%Senate eFD search
Dec 14, 2023BRK.B BRK.BPurchase$1,001 to $15Kunknown34 d−1.1%Senate eFD search
Dec 14, 2023CVS CVSCommitteeSale$1,001 to $15Kunknown34 d−6.0%Senate eFD search
Dec 14, 2023PII PIISale$1,001 to $15Kunknown34 d−1.5%Senate eFD search
Dec 14, 2023KR KRSale$1,001 to $15Kunknown34 d−3.1%Senate eFD search
Dec 14, 2023CVX CVXSale$1,001 to $15Kunknown34 d−0.6%Senate eFD search
Dec 14, 2023BAC BACSale$1,001 to $15Kunknown34 d+2.2%Senate eFD search
Dec 14, 2023USB USBSale$1,001 to $15Kunknown34 d+4.6%Senate eFD search