Sen. Tommy Tuberville
Republican · Senator from AL
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 7 large market moves, the member's net trading pointed the right way 5 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 0.71, Clopper-Pearson 90% [0.34, 0.95]; exact one-sided p = 0.227; magnitude-weighted sign-flip p = 0.109. 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
- 71.4% [34.1%, 94.7%] 90%
- p-value
- 0.227
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (7)
| n_episodes | 7 |
| hits | 5 |
| hit_rate | 0.7143 |
| ci | [0.3413, 0.9466] |
| p_exact | 0.2266 |
| p_magnitude | 0.1089 |
| episodes | [[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]] |
T7Disclosure timeliness133 of 1212 trades (11.0%) were disclosed late; median lag 32 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 0.110, Wilson [0.096, 0.125]; 90th percentile lag 87 days; longest 403 days. Late-minus-timely signed CAR 0.0112, p = 0.300.
- Evidence
- Statistical
- Late share
- 11.0% [9.6%, 12.5%] 90%
- p-value
- 0.300
- Holm-adjusted p
- 1.000
- BH q-value
- 0.553
All computed statistics (18)
| n | 1212 |
| amendment_rows_excluded | 0 |
| late | 133 |
| late_from_trade | 133 |
| excused_by_notification | 0 |
| late_share | 0.1097 |
| late_ci | [0.0958, 0.1254] |
| median_lag | 32 |
| p90_lag | 87 |
| max_lag | 403 |
| filings | 43 |
| late_filings | 2 |
| late_priced | 98 |
| timely_priced | 881 |
| late_priced_dates | 31 |
| late_minus_timely_car | 0.0112 |
| late_minus_timely_ci | [-0.0154, 0.0645] |
| late_minus_timely_p | 0.3000 |
T1Trade size65% of 1212 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 0.653, 90% Wilson [0.631, 0.676]. 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
- 65.3% [63.1%, 67.6%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 1212 |
| lowest_band_share | 0.6535 |
| lowest_band_ci | [0.6307, 0.6756] |
| share_over_50k | 0.1287 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 60 |
| event_linked_outliers | 0 |
T2Breadth and concentration287 different companies; the effective number of equally sized positions is 23 and trading spans 78% 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 0.043 (identified set [0.017, 0.100]); trade-count HHI 0.017 vs. 95th percentile 0.004 of 1212 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.78 [0.74, 0.82]. Top three issuers (PYPL, CLF, QCOM) carry at least 11% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 23 [10, 60] 90%
All computed statistics (13)
| n | 1212 |
| issuers | 287 |
| hhi_mid | 0.0429 |
| hhi_bounds | [0.0166, 0.0998] |
| n_eff | 23.3031 |
| hhi_count | 0.0166 |
| peer_benchmark_p95 | 0.0037 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.7839 |
| sector_entropy_ci | [0.7428, 0.8214] |
| top3_share_lower | 0.1139 |
| top3 | [PYPL, CLF, QCOM] |
| top3_tied_to_events | true |
T3Cadence and event proximity26% of trading days were batches of three or more companies; 3% of trades look routine; 5.0% of trades came within five trading days before a large company-specific move (chance alone: 5.1%).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 71/273, Wilson [0.22, 0.31]; index of dispersion 15.03 (chi-square p = 0); routine share 0.03 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.050 vs. circular-shift null mean 0.051, p = 0.532.
- Evidence
- Statistical
- Batch-day share
- 26.0% [21.9%, 30.6%] 90%
- p-value
- 0.532
- Holm-adjusted p
- 1.000
- BH q-value
- 0.928
All computed statistics (14)
| n | 1212 |
| trade_days | 273 |
| batch_share_trades | 0.6889 |
| batch_day_share | 0.2601 |
| batch_day_ci | [0.2189, 0.3059] |
| dispersion_index | 15.0313 |
| dispersion_p | 0 |
| routine_share | 0.0272 |
| proximity_share | 0.0495 |
| proximity_null_mean | 0.0506 |
| proximity_null_p95 | 0.0686 |
| proximity_p | 0.5320 |
| proximity_nonroutine | 0.0492 |
| proximity_routine | 0.0606 |
T8Committee overlap5% of the member's mapped trading by dollar value was in industries their committees oversee, against 20% 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 SPAG, SSAF, SSAS, SSHR, SSVA; jurisdiction sectors Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Health Care Facilities, Health Care Services, Human Resource & Employment Services, Managed Health Care, Packaged Foods & Meats, Timber REITs. Dollar share 0.049 (identified set [0.013, 0.174], bootstrap 0.032-0.064); benchmarks S&P 500 0.198, congressional peers 0.162.
- Evidence
- Descriptive
- Jurisdiction excess share
- -14.9% [-16.6%, -13.4%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 1036 |
| in_jurisdiction_trades | 131 |
| share | 0.0490 |
| share_bounds | [0.0132, 0.1742] |
| share_ci | [0.0319, 0.0643] |
| benchmark_sp500 | 0.1980 |
| benchmark_peers | 0.1621 |
| excess | -0.1490 |
| excess_ci | [-0.1661, -0.1337] |
| committees | [SPAG, SSAF, SSAS, SSHR, SSVA] |
| jurisdiction_sectors | [Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Health Care Facilities, Health Care Services, Human Resource & Employment Services, Managed Health Care, Packaged Foods & Meats, 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 71% 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 0.0049, 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 | 0.0049 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.7090 |
| members_compared | 134 |
| lower95 | -0.0058 |
T12Anticipation of large stock moves147 trades were followed within two weeks by a large company-specific move; 70 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 0.48, Clopper-Pearson [0.41, 0.55], exact one-sided p = 0.745; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 47.6% [40.6%, 54.7%] 90%
- p-value
- 0.745
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 147 |
| hits | 70 |
| hit_rate | 0.4762 |
| ci | [0.4059, 0.5472] |
| priced | 988 |
| share_followed | 0.1488 |
T13Co-trading with other members9% of trades had another member trading the same stock the same way within a week (chance alone: 11%).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 0.091; circular-shift null mean 0.110, 95th pct 0.135, p = 0.900. Co-traded signed CAR 0.0063, p = 0.343.
- Evidence
- Statistical
- Co-traded share
- 9.1%
- p-value
- 0.343
- Holm-adjusted p
- 1.000
- BH q-value
- 0.902
- Robust to variants
- Yes
All computed statistics (10)
| n | 1212 |
| cotraded_share | 0.0908 |
| null_mean | 0.1098 |
| null_p95 | 0.1355 |
| excess_p | 0.9000 |
| cotraded_share_wo_top | 0.0883 |
| excess_p_wo_top | 0.7900 |
| cotraded_car | 0.0063 |
| cotraded_car_ci | [-0.0193, 0.0319] |
| cotraded_car_p | 0.3432 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 8.8% |
T4Event timing (abnormal returns)Across 979 priced trades, purchases and sales moved 0.49% in 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) = 0.0049; 90% KP interval [-0.0240, 0.0338]; t_BMP = 1.44, r-bar = 0.026, t_KP = 0.28, Patell Z = 1.47, Corrado Z = 1.69. Dollar-weighted identified set [-0.0316, 0.0506]. Calendar-time alpha 2.24%/yr (NW t = 0.24, 1004 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- +0.49% [−2.40%, +3.38%] 90%
- p-value
- 0.405
- 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 | 979 |
| theta | 0.0049 |
| ci | [-0.0240, 0.0338] |
| p | 0.3909 |
| t_kp | 0.2772 |
| rbar | 0.0259 |
| se_cs | 0.0034 |
| se_kp | 0.0175 |
| t_cs | 1.4444 |
| t_bmp | 1.4417 |
| patell_z | 1.4680 |
| corrado_z | 1.6926 |
| dollar_weighted_bounds | [-0.0316, 0.0506] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-5.17e-4, 6.94e-4] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −0.11% |
| Horizon 63 days | Open question | +0.85% |
| Excluding largest batch date | Open question | +0.51% |
| Self-owned accounts only | Not assessed | – |
| Dollar-weighted (bounds) | Open question | +5.06% |
| Calendar-time alpha (annualized) | +2.24% |
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 overlap101 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -0.06% in the trade's favour, -0.61% 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 = -0.0006; pre-event minus other trades = -0.0061 [-0.0486, 0.0250], p = 0.576; mean pre-trade drift psi = -0.0118.
- Evidence
- Statistical
- Pre-event minus other trades, signed CAR
- −0.61% [−4.86%, +2.50%] 90%
- p-value
- 0.576
- 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 | 101 |
| n_other | 878 |
| theta9 | -5.92e-4 |
| diff | -0.0061 |
| ci | [-0.0486, 0.0250] |
| p | 0.5760 |
| pre_trade_drift | -0.0118 |
| pre_trade_drift_significant | false |
| events | 2209 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.1022 |
| trade_dates | 41 |
| placebo_reading | open_question |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Open question | −1.34% |
| Window 60 days | Open question | −0.57% |
| Excluding largest batch date | Open question | −0.98% |
| Placebo: month after events | −0.23% |
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 2024-05-14 (permutation p = 0.002).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2024-05-14 |
| changepoint_LR | 197.1536 |
| changepoint_p | 0.0020 |
| tradeday_rate_before | 0.3014 |
| tradeday_rate_after | 0.0148 |
T14Family-account tradesOnly 0 trades name the account owner; at least 10 are needed.Not assessed
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
Only 0 trades name the account owner; at least 10 are needed.
- Evidence
- Not computed
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (1)
| owner_unknown | 1212 |
T15Short-swing round trips280 buy-and-sell round trips within six months; in the month after opening, those positions moved +0.45% 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) 0.0045 [-0.0230, 0.0320], t_KP = 0.35, over 234 priced openings. Realized market-adjusted return to the closing trade averaged +4.47% (win rate 59%); it is shown for context only because exit timing is chosen after the fact.
- Evidence
- Statistical
- Opening-trade signed 21-day CAR
- +0.45% [−2.30%, +3.20%] 90%
- p-value
- 0.365
- 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 | 280 |
| share_in_round_trips | 0.4620 |
| priced | 217 |
| realized_mean | 0.0447 |
| realized_win_rate | 0.5899 |
| opening_car | 0.0045 |
| ci | [-0.0230, 0.0320] |
| p | 0.3646 |
| openings_priced | 234 |
T16Options and leverage402 option trades (33% of all reported trades); the underlying moved +0.41% in the trade's favour over a month.Inconclusive (too few trades)
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
402 option trades (33% of all reported trades); the underlying moved +0.41% in the trade's favour over a month.
- Evidence
- Statistical
- Option-trade signed CAR
- +0.41% [−2.71%, +3.52%] 90%
- p-value
- 0.453
- Holm-adjusted p
- 1.000
- BH q-value
- 0.715
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (6)
| option_trades | 402 |
| option_share | 0.3317 |
| option_car | 0.0041 |
| option_ci | [-0.0271, 0.0352] |
| option_p | 0.4528 |
| priced | 323 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
13 trade(s) in the prior five trading days+2.48%
S&P 500 (SPY) daily move (Jan 28, 2022)
Wrong way.
1 trade(s) in the prior five trading days+2.68%
S&P 500 (SPY) daily move (Mar 9, 2022)
Right way.
3 trade(s) in the prior five trading days-3.7%
S&P 500 (SPY) daily move (Apr 29, 2022)
Right way.
3 trade(s) in the prior five trading days-3.55%
S&P 500 (SPY) daily move (May 5, 2022)
Right way.
4 trade(s) in the prior five trading days-3.8%
S&P 500 (SPY) daily move (Jun 13, 2022)
Wrong way.
6 trade(s) in the prior five trading days-4.35%
S&P 500 (SPY) daily move (Sep 13, 2022)
Right way.
9 trade(s) in the prior five trading days+5.5%
S&P 500 (SPY) daily move (Nov 10, 2022)
Right way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| PYPL PYPL | 48 | $2.4M to $5.5M |
| CLF CLF | 98 | $1.5M to $4.6M |
| QCOM QCOM | 27 | $1.4M to $3.3M |
| X Option Type: Call Strike price: $29.00 Expires: 10/15/2021 | 52 | $1.2M to $3.3M |
| MSFT Option Type: Put Strike price: $185.00 Expires: 04/16/2021 | 26 | $1.1M to $2.7M |
| INTC Option Type: Put Strike price: $50.00 Expires: 07/16/2021 | 30 | $940K to $2.5M |
| ECOM Option Type: Put Strike price: $25.00 Expires: 09/17/2021 | 30 | $860K to $2.2M |
| F Option Type: Put Strike price: $11.00 Expires: 09/17/2021 | 16 | $482K to $1.4M |
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 9, 2026 | WAB WAB | Sale | $1,001 to $15K | unknown | 37 d | −0.3% | Senate eFD search |
| Jun 8, 2026 | PG PG | Sale | $15K to $50K | unknown | 38 d | −3.7% | Senate eFD search |
| Jun 8, 2026 | CSX CSX | Sale | $15K to $50K | unknown | 38 d | +1.3% | Senate eFD search |
| Jun 8, 2026 | PFE PFECommittee | Sale | $15K to $50K | unknown | 38 d | −0.3% | Senate eFD search |
| Jun 8, 2026 | LMT LMTCommittee | Sale | $15K to $50K | unknown | 38 d | −1.7% | Senate eFD search |
| Jun 8, 2026 | NEE NEE | Sale | $15K to $50K | unknown | 38 d | −1.5% | Senate eFD search |
| Jun 8, 2026 | TSCO TSCO | Sale | $1,001 to $15K | unknown | 38 d | −2.2% | Senate eFD search |
| Jun 8, 2026 | AWK AWK | Sale | $15K to $50K | unknown | 38 d | −4.3% | Senate eFD search |
| Jun 8, 2026 | DUK DUK | Sale | $15K to $50K | unknown | 38 d | −2.7% | Senate eFD search |
| Jun 8, 2026 | MA MA | Sale | $15K to $50K | unknown | 38 d | −0.2% | Senate eFD search |
| Dec 17, 2025 | GOOGL GOOGL | Sale | $1,001 to $15K | unknown | 29 d | −2.0% | Senate eFD search |
| Dec 17, 2025 | AAPL AAPL | Sale | $50K to $100K | unknown | 29 d | +3.1% | Senate eFD search |
| Dec 17, 2025 | XLU XLU | Purchase | $15K to $50K | unknown | 29 d | −0.7% | Senate eFD search |
| Dec 17, 2025 | XLV XLV | Purchase | $15K to $50K | unknown | 29 d | +0.2% | Senate eFD search |
| Dec 17, 2025 | XLP XLP | Purchase | $15K to $50K | unknown | 29 d | −1.8% | Senate eFD search |
| Oct 7, 2025 | PEP PEP | Sale | $15K to $50K | unknown | 39 d | −8.0% | Senate eFD search |
| Oct 7, 2025 | OC OC | Sale | $15K to $50K | unknown | 39 d | +2.1% | Senate eFD search |
| Oct 7, 2025 | MSFT MSFT | Sale | $15K to $50K | unknown | 39 d | +1.3% | Senate eFD search |
| Oct 7, 2025 | ORCL ORCL | Sale | $15K to $50K | unknown | 39 d | −6.4% | Senate eFD search |
| Oct 7, 2025 | GOOGL GOOGL | Sale | $15K to $50K | unknown | 39 d | −0.6% | Senate eFD search |
| Oct 7, 2025 | AAPL AAPL | Sale | $15K to $50K | unknown | 39 d | +1.9% | Senate eFD search |
| Apr 15, 2025 | GOOGL GOOGL | Sale | $15K to $50K | unknown | 30 d | +0.0% | Senate eFD search |
| Apr 15, 2025 | GS GS | Sale | $15K to $50K | unknown | 30 d | −4.2% | Senate eFD search |
| Apr 15, 2025 | MA MA | Sale | $15K to $50K | unknown | 30 d | −2.4% | Senate eFD search |
| Apr 15, 2025 | MSFT MSFT | Sale | $15K to $50K | unknown | 30 d | +2.0% | Senate eFD search |
| Apr 15, 2025 | DUK DUK | Sale | $15K to $50K | unknown | 30 d | −0.2% | Senate eFD search |
| Apr 15, 2025 | PYPL PYPL | Sale | $15K to $50K | unknown | 30 d | −1.2% | Senate eFD search |
| Apr 15, 2025 | LLY LLYCommittee | Sale | $15K to $50K | unknown | 30 d | −10.0% | Senate eFD search |
| Apr 15, 2025 | AMGN AMGNCommittee | Sale | $15K to $50K | unknown | 30 d | +6.1% | Senate eFD search |
| Apr 15, 2025 | BMY BMYCommittee | Sale | $1,001 to $15K | unknown | 30 d | +3.5% | Senate eFD search |
| Apr 15, 2025 | STZ STZ | Sale | $15K to $50K | unknown | 30 d | −2.9% | Senate eFD search |
| Apr 15, 2025 | ADM ADMCommittee | Sale | $15K to $50K | unknown | 30 d | −5.0% | Senate eFD search |
| Apr 15, 2025 | AAPL AAPL | Sale | $15K to $50K | unknown | 30 d | −1.2% | Senate eFD search |
| Apr 15, 2025 | USIG USIG | Purchase | $50K to $100K | unknown | 30 d | −0.1% | Senate eFD search |
| Apr 15, 2025 | CSX CSX | Sale | $15K to $50K | unknown | 30 d | +0.5% | Senate eFD search |
| Apr 15, 2025 | JPM JPM | Sale | $15K to $50K | unknown | 30 d | −3.1% | Senate eFD search |
| Jan 10, 2025 | TSCO TSCO | Sale | $15K to $50K | unknown | 35 d | +4.0% | Senate eFD search |
| Jan 10, 2025 | AAPL AAPL | Sale | $15K to $50K | unknown | 35 d | +5.7% | Senate eFD search |
| Jan 10, 2025 | DEO DEO | Sale | $15K to $50K | unknown | 35 d | +0.3% | Senate eFD search |
| Jan 10, 2025 | CARR CARR | Sale | $1,001 to $15K | unknown | 35 d | −0.8% | Senate eFD search |
| Jan 10, 2025 | TXN TXN | Sale | $15K to $50K | unknown | 35 d | +2.6% | Senate eFD search |
| Jan 10, 2025 | MSFT MSFT | Sale | $15K to $50K | unknown | 35 d | +0.7% | Senate eFD search |
| Oct 29, 2024 | MSFT MSFT | Sale | $15K to $50K | unknown | 17 d | +3.5% | Senate eFD search |
| Oct 29, 2024 | ADBE ADBE | Sale | $15K to $50K | unknown | 17 d | −2.1% | Senate eFD search |
| Oct 29, 2024 | JNJ JNJCommittee | Sale | $15K to $50K | unknown | 17 d | +1.4% | Senate eFD search |
| Oct 29, 2024 | AAPL AAPL | Sale | $15K to $50K | unknown | 17 d | +3.5% | Senate eFD search |
| Oct 29, 2024 | OC OC | Sale | $15K to $50K | unknown | 17 d | −1.9% | Senate eFD search |
| Oct 29, 2024 | HON HON | Sale | $15K to $50K | unknown | 17 d | −1.9% | Senate eFD search |
| Oct 29, 2024 | CTVA CTVA | Sale | $1,001 to $15K | unknown | 17 d | −2.5% | Senate eFD search |
| Oct 29, 2024 | KMB KMB | Sale | $15K to $50K | unknown | 17 d | +0.0% | Senate eFD search |