Sen. Jerry Moran
Republican · Senator from KS
No test fits; open questions on breadth and concentration, disclosure timeliness, short-swing round trips.
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%
All computed statistics (13)
| n | 231 |
| issuers | 45 |
| hhi_mid | 0.0398 |
| hhi_bounds | [0.0227, 0.3288] |
| n_eff | 25.1354 |
| hhi_count | 0.0326 |
| peer_benchmark_p95 | 0.0079 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.7677 |
| sector_entropy_ci | [0.6933, 0.8070] |
| top3_share_lower | 0.0344 |
| top3 | [BRK.B, JNK, WFC] |
| top3_tied_to_events | true |
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%
All computed statistics (15)
| n | 238 |
| amendment_rows_excluded | 0 |
| late | 59 |
| late_from_trade | 59 |
| excused_by_notification | 0 |
| late_share | 0.2479 |
| late_ci | [0.2049, 0.2966] |
| median_lag | 31 |
| p90_lag | 160 |
| max_lag | 413 |
| filings | 14 |
| late_filings | 2 |
| late_priced | 48 |
| timely_priced | 166 |
| late_priced_dates | 2 |
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
All computed statistics (9)
| round_trips | 17 |
| share_in_round_trips | 0.1472 |
| priced | 14 |
| realized_mean | 0.0632 |
| realized_win_rate | 0.4286 |
| opening_car | 0.0144 |
| ci | [-0.0257, 0.0544] |
| p | 0.3413 |
| openings_priced | 14 |
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
All computed statistics (9)
| n | 231 |
| lowest_band_share | 0.9567 |
| lowest_band_ci | [0.9289, 0.9739] |
| share_over_50k | 0 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 4 |
| event_linked_outliers | 0 |
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
All computed statistics (14)
| n | 231 |
| trade_days | 14 |
| batch_share_trades | 0.9091 |
| batch_day_share | 0.5000 |
| batch_day_ci | [0.2988, 0.7012] |
| dispersion_index | 32.0765 |
| dispersion_p | 0 |
| routine_share | 0.3420 |
| proximity_share | 0.0173 |
| proximity_null_mean | 0.0684 |
| proximity_null_p95 | 0.1558 |
| proximity_p | 0.9680 |
| proximity_nonroutine | 0.0263 |
| proximity_routine | 0 |
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
All computed statistics (15)
| n | 214 |
| in_jurisdiction_trades | 73 |
| share | 0.3158 |
| share_bounds | [0.0366, 0.8426] |
| share_ci | [0.2237, 0.3714] |
| benchmark_sp500 | 0.2079 |
| benchmark_peers | 0.2455 |
| excess | 0.0702 |
| 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_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 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
All computed statistics (8)
| raw | -0.0029 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.4627 |
| members_compared | 134 |
| 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
All computed statistics (6)
| n | 29 |
| hits | 7 |
| hit_rate | 0.2414 |
| ci | [0.1192, 0.4060] |
| priced | 216 |
| share_followed | 0.1343 |
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)
| n | 231 |
| cotraded_share | 0.2078 |
| null_mean | 0.2524 |
| null_p95 | 0.3333 |
| excess_p | 0.8200 |
| cotraded_share_wo_top | 0.1861 |
| excess_p_wo_top | 0.7400 |
| cotraded_car | -2.28e-4 |
| cotraded_car_ci | [-0.0329, 0.0324] |
| cotraded_car_p | 0.4850 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 18.6% |
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_trades | 0 |
| option_share | 0 |
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
All computed statistics (16)
| n | 214 |
| theta | -0.0029 |
| ci | [-0.0327, 0.0269] |
| p | 0.5915 |
| t_kp | -0.2317 |
| rbar | 0.0627 |
| se_cs | 0.0046 |
| se_kp | 0.0180 |
| 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 variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −0.07% |
| Horizon 63 days | Open question | −0.87% |
| Excluding largest batch date | Open question | −0.36% |
| Self-owned accounts only | Open 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
All computed statistics (7)
| n_episodes | 8 |
| hits | 4 |
| hit_rate | 0.5000 |
| ci | [0.1929, 0.8071] |
| p_exact | 0.6367 |
| p_magnitude | 0.3860 |
| 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
All computed statistics (13)
| n | 54 |
| n_other | 160 |
| theta9 | -7.96e-4 |
| diff | 0.0028 |
| ci | [-0.0119, 0.0244] |
| p | 0.4340 |
| pre_trade_drift | -0.0069 |
| pre_trade_drift_significant | false |
| events | 3017 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.2500 |
| trade_dates | 10 |
| placebo_reading | open_question |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Open question | +0.47% |
| Window 60 days | Open question | +0.28% |
| Excluding largest batch date | Open 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)
| changepoint | 2018-12-20 |
| changepoint_LR | 9.7697 |
| changepoint_p | 0.0500 |
| tradeday_rate_before | 0.2000 |
| tradeday_rate_after | 0.0061 |
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
All computed statistics (8)
| family_trades | 55 |
| family_share | 0.4167 |
| owner_unknown | 99 |
| family_car | -0.0080 |
| family_ci | [-0.0423, 0.0262] |
| diff | -0.0028 |
| diff_ci | [-0.0260, 0.0027] |
| diff_p | 0.6520 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
22 trade(s) in the prior five trading days+5.05%
S&P 500 (SPY) daily move (Dec 26, 2018)
Wrong way.
4 trade(s) in the prior five trading days-4.87%
S&P 500 (SPY) daily move (Mar 11, 2020)
Right way.
4 trade(s) in the prior five trading days-9.57%
S&P 500 (SPY) daily move (Mar 12, 2020)
Right way.
4 trade(s) in the prior five trading days+8.55%
S&P 500 (SPY) daily move (Mar 13, 2020)
Wrong way.
4 trade(s) in the prior five trading days-10.94%
S&P 500 (SPY) daily move (Mar 16, 2020)
Right way.
4 trade(s) in the prior five trading days+5.4%
S&P 500 (SPY) daily move (Mar 17, 2020)
Wrong way.
4 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-2.98%
S&P 500 (SPY) daily move (Dec 18, 2024)
Wrong way.
Largest positions traded
| Company | Trades | Disclosed 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 Corporation | 10 | $10K to $150K |
| WFC Wells Fargo & Company | 7 | $21K to $140K |
| COST Costco Wholesale Corporation | 9 | $9,009 to $135K |
| DIS The Walt Disney Company | 6 | $20K to $125K |
| USB U.S. Bancorp | 8 | $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.
| Trade date | Asset | Type | Amount | Owner | Filed after | 5-day CAR | |
|---|---|---|---|---|---|---|---|
| Jun 23, 2026 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 28 d | −1.6% | Senate eFD search |
| Jun 23, 2026 | BRK.B BRK.B | Purchase | $15K to $50K | unknown | 28 d | +1.5% | Senate eFD search |
| May 27, 2026 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 29 d | −0.8% | Senate eFD search |
| May 27, 2026 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 29 d | −0.8% | Senate eFD search |
| May 27, 2026 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 29 d | −0.8% | Senate eFD search |
| May 27, 2026 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 29 d | −0.8% | Senate eFD search |
| May 27, 2026 | GOOG GOOGCommittee | Sale | $1,001 to $15K | unknown | 29 d | +9.4% | Senate eFD search |
| Sep 23, 2025 | GOOG GOOGCommittee | Sale | $1,001 to $15K | unknown | 34 d | +4.2% | Senate eFD search |
| Sep 23, 2025 | GOOG GOOGCommittee | Sale | $1,001 to $15K | unknown | 34 d | +4.2% | Senate eFD search |
| Sep 23, 2025 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 34 d | +1.6% | Senate eFD search |
| May 8, 2025 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 41 d | +1.0% | Senate eFD search |
| May 8, 2025 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 41 d | +1.0% | Senate eFD search |
| May 8, 2025 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 41 d | +1.0% | Senate eFD search |
| May 8, 2025 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 41 d | +1.0% | Senate eFD search |
| Dec 16, 2024 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 33 d | +0.3% | Senate eFD search |
| Jul 29, 2024 | BRK.B BRK.B | Sale | $1,001 to $15K | unknown | 31 d | +3.0% | Senate eFD search |
| Jul 29, 2024 | BRK.B BRK.B | Sale | $1,001 to $15K | unknown | 31 d | +3.0% | Senate eFD search |
| Jul 29, 2024 | BRK.B BRK.B | Sale | $1,001 to $15K | unknown | 31 d | +3.0% | Senate eFD search |
| Jul 29, 2024 | BRK.B BRK.B | Sale | $15K to $50K | unknown | 31 d | +3.0% | Senate eFD search |
| Dec 14, 2023 | CI CICommittee | Sale | $1,001 to $15K | unknown | 34 d | +0.5% | Senate eFD search |
| Dec 14, 2023 | KMB KMB | Sale | $1,001 to $15K | unknown | 34 d | +1.0% | Senate eFD search |
| Dec 14, 2023 | INTC INTCCommittee | Sale | $1,001 to $15K | unknown | 34 d | −2.9% | Senate eFD search |
| Dec 14, 2023 | INTC INTCCommittee | Sale | $1,001 to $15K | unknown | 34 d | −2.9% | Senate eFD search |
| Dec 14, 2023 | XOM XOM | Sale | $1,001 to $15K | unknown | 34 d | +0.1% | Senate eFD search |
| Dec 14, 2023 | AMZN AMZN | Sale | $1,001 to $15K | unknown | 34 d | −2.7% | Senate eFD search |
| Dec 14, 2023 | GOOG GOOGCommittee | Sale | $1,001 to $15K | unknown | 34 d | −5.0% | Senate eFD search |
| Dec 14, 2023 | GOOG GOOGCommittee | Sale | $1,001 to $15K | unknown | 34 d | −5.0% | Senate eFD search |
| Dec 14, 2023 | KR KR | Sale | $1,001 to $15K | unknown | 34 d | −3.1% | Senate eFD search |
| Dec 14, 2023 | KMB KMB | Sale | $1,001 to $15K | unknown | 34 d | +1.0% | Senate eFD search |
| Dec 14, 2023 | PFE PFE | Sale | $1,001 to $15K | unknown | 34 d | −9.2% | Senate eFD search |
| Dec 14, 2023 | CI CICommittee | Sale | $1,001 to $15K | unknown | 34 d | +0.5% | Senate eFD search |
| Dec 14, 2023 | XOM XOM | Sale | $1,001 to $15K | unknown | 34 d | +0.1% | Senate eFD search |
| Dec 14, 2023 | HAL HAL | Sale | $15K to $50K | unknown | 34 d | −1.4% | Senate eFD search |
| Dec 14, 2023 | CMCSA CMCSACommittee | Sale | $1,001 to $15K | unknown | 34 d | +2.3% | Senate eFD search |
| Dec 14, 2023 | PII PII | Sale | $1,001 to $15K | unknown | 34 d | −1.5% | Senate eFD search |
| Dec 14, 2023 | DVA DVACommittee | Sale | $1,001 to $15K | unknown | 34 d | +2.7% | Senate eFD search |
| Dec 14, 2023 | JNJ JNJ | Sale | $1,001 to $15K | unknown | 34 d | +1.0% | Senate eFD search |
| Dec 14, 2023 | AAPL AAPL | Sale | $1,001 to $15K | unknown | 34 d | +2.7% | Senate eFD search |
| Dec 14, 2023 | JNJ JNJ | Sale | $1,001 to $15K | unknown | 34 d | +1.0% | Senate eFD search |
| Dec 14, 2023 | CVX CVX | Sale | $1,001 to $15K | unknown | 34 d | −0.6% | Senate eFD search |
| Dec 14, 2023 | BAC BAC | Sale | $1,001 to $15K | unknown | 34 d | +2.2% | Senate eFD search |
| Dec 14, 2023 | CSCO CSCO | Sale | $1,001 to $15K | unknown | 34 d | −0.0% | Senate eFD search |
| Dec 14, 2023 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 34 d | −1.1% | Senate eFD search |
| Dec 14, 2023 | BRK.B BRK.B | Purchase | $1,001 to $15K | unknown | 34 d | −1.1% | Senate eFD search |
| Dec 14, 2023 | CVS CVSCommittee | Sale | $1,001 to $15K | unknown | 34 d | −6.0% | Senate eFD search |
| Dec 14, 2023 | PII PII | Sale | $1,001 to $15K | unknown | 34 d | −1.5% | Senate eFD search |
| Dec 14, 2023 | KR KR | Sale | $1,001 to $15K | unknown | 34 d | −3.1% | Senate eFD search |
| Dec 14, 2023 | CVX CVX | Sale | $1,001 to $15K | unknown | 34 d | −0.6% | Senate eFD search |
| Dec 14, 2023 | BAC BAC | Sale | $1,001 to $15K | unknown | 34 d | +2.2% | Senate eFD search |
| Dec 14, 2023 | USB USB | Sale | $1,001 to $15K | unknown | 34 d | +4.6% | Senate eFD search |