Sen. Dan Sullivan
Republican · Senator from AK
No test fits; open questions on breadth and concentration, event timing (abnormal returns), direction before market-wide shocks and more.
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T2Breadth and concentration59 different companies; the effective number of equally sized positions is 6 and trading spans 63% 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 0.174 (identified set [0.042, 0.486]); trade-count HHI 0.033 vs. 95th percentile 0.013 of 118 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.63 [0.36, 0.76]. Top three issuers (RPM, MSFT, SPY) carry at least 21% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 6 [2, 24] 90%
All computed statistics (13)
| n | 118 |
| issuers | 59 |
| hhi_mid | 0.1742 |
| hhi_bounds | [0.0419, 0.4865] |
| n_eff | 5.7391 |
| hhi_count | 0.0333 |
| peer_benchmark_p95 | 0.0129 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.6279 |
| sector_entropy_ci | [0.3556, 0.7600] |
| top3_share_lower | 0.2107 |
| top3 | [RPM, MSFT, SPY] |
| top3_tied_to_events | false |
T4Event timing (abnormal returns)Across 93 priced trades, purchases and sales moved 1.41% in the trade's direction relative to the market over the next month on average.Open question
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) = 0.0141; 90% KP interval [-0.0116, 0.0399]; t_BMP = 1.25, r-bar = 0.024, t_KP = 0.69, Patell Z = 1.16, Corrado Z = 0.66. Dollar-weighted identified set [-0.0347, 0.0612]. Calendar-time alpha -17.61%/yr (NW t = -1.30, 281 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- +1.41% [−1.16%, +3.99%] 90%
- p-value
- 0.903
- 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 | 93 |
| theta | 0.0141 |
| ci | [-0.0116, 0.0399] |
| p | 0.2465 |
| t_kp | 0.6882 |
| rbar | 0.0241 |
| se_cs | 0.0085 |
| se_kp | 0.0155 |
| t_cs | 1.6596 |
| t_bmp | 1.2496 |
| patell_z | 1.1637 |
| corrado_z | 0.6591 |
| dollar_weighted_bounds | [-0.0347, 0.0612] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-0.0016, 1.96e-4] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | +0.57% |
| Horizon 63 days | Fits pattern | +7.12% |
| Excluding largest batch date | Open question | +1.77% |
| Self-owned accounts only | Not assessed | +0.29% |
| Dollar-weighted (bounds) | Open question | +6.12% |
| Calendar-time alpha (annualized) | −17.61% |
T5Direction before market-wide shocksBefore 5 large market moves, the member's net trading pointed the right way 4 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 0.80, Clopper-Pearson 90% [0.34, 0.99]; exact one-sided p = 0.188; magnitude-weighted sign-flip p = 0.062. 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
- 80.0% [34.3%, 99.0%] 90%
- p-value
- 0.188
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (7)
| n_episodes | 5 |
| hits | 4 |
| hit_rate | 0.8000 |
| ci | [0.3426, 0.9898] |
| p_exact | 0.1875 |
| p_magnitude | 0.0619 |
| episodes | [[object Object], [object Object], [object Object], [object Object], [object Object]] |
T7Disclosure timeliness11 of 119 trades (9.2%) were disclosed late; median lag 27 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 0.092, Wilson [0.057, 0.146]; 90th percentile lag 44 days; longest 553 days.
- Evidence
- Descriptive
- Late share
- 9.2% [5.7%, 14.6%] 90%
All computed statistics (15)
| n | 119 |
| amendment_rows_excluded | 0 |
| late | 11 |
| late_from_trade | 11 |
| excused_by_notification | 0 |
| late_share | 0.0924 |
| late_ci | [0.0574, 0.1456] |
| median_lag | 27 |
| p90_lag | 44 |
| max_lag | 553 |
| filings | 22 |
| late_filings | 4 |
| late_priced | 6 |
| timely_priced | 87 |
| late_priced_dates | 5 |
T12Anticipation of large stock moves3 trades were followed within two weeks by a large company-specific move; 2 were on the profitable side.Open question
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 0.67, Clopper-Pearson [0.14, 0.98], exact one-sided p = 0.500; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 66.7% [13.5%, 98.3%] 90%
- p-value
- 0.500
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 3 |
| hits | 2 |
| hit_rate | 0.6667 |
| ci | [0.1353, 0.9830] |
| priced | 93 |
| share_followed | 0.0323 |
T15Short-swing round trips4 buy-and-sell round trips within six months; in the month after opening, those positions moved +7.06% 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) 0.0706 [-0.0461, 0.1874], t_KP = 1.20, over 4 priced openings. Realized market-adjusted return to the closing trade averaged +2.36% (win rate 100%); it is shown for context only because exit timing is chosen after the fact.
- Evidence
- Statistical
- Opening-trade signed 21-day CAR
- +7.06% [−4.61%, +18.74%] 90%
- p-value
- 0.158
- 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 | 4 |
| share_in_round_trips | 0.0678 |
| priced | 4 |
| realized_mean | 0.0236 |
| realized_win_rate | 1 |
| opening_car | 0.0706 |
| ci | [-0.0461, 0.1874] |
| p | 0.1576 |
| openings_priced | 4 |
T1Trade size82% of 118 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 0.822, 90% Wilson [0.757, 0.873]. 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
- 82.2% [75.7%, 87.3%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 118 |
| lowest_band_share | 0.8220 |
| lowest_band_ci | [0.7571, 0.8725] |
| share_over_50k | 0.0678 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 2 |
| event_linked_outliers | 0 |
T3Cadence and event proximity23% of trading days were batches of three or more companies; 0% of trades look routine; 1.7% of trades came within five trading days before a large company-specific move (chance alone: 4.6%).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 7/31, Wilson [0.13, 0.37]; index of dispersion 17.72 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.017 vs. circular-shift null mean 0.046, p = 0.862.
- Evidence
- Statistical
- Batch-day share
- 22.6% [12.7%, 36.8%] 90%
- p-value
- 0.862
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (14)
| n | 118 |
| trade_days | 31 |
| batch_share_trades | 0.7881 |
| batch_day_share | 0.2258 |
| batch_day_ci | [0.1273, 0.3683] |
| dispersion_index | 17.7200 |
| dispersion_p | 0 |
| routine_share | 0 |
| proximity_share | 0.0169 |
| proximity_null_mean | 0.0463 |
| proximity_null_p95 | 0.1102 |
| proximity_p | 0.8620 |
| proximity_nonroutine | 0.0169 |
| proximity_routine | 0 |
T8Committee overlap11% 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 SSAS, SSCM, SSEV, SSVA; 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, Health Care Facilities, Health Care Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, Water Utilities. Dollar share 0.106 (identified set [0.018, 0.423], bootstrap 0.035-0.200); benchmarks S&P 500 0.200, congressional peers 0.223.
- Evidence
- Descriptive
- Jurisdiction excess share
- -11.7% [-18.9%, -2.3%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 100 |
| in_jurisdiction_trades | 22 |
| share | 0.1062 |
| share_bounds | [0.0177, 0.4229] |
| share_ci | [0.0347, 0.2004] |
| benchmark_sp500 | 0.2000 |
| benchmark_peers | 0.2233 |
| excess | -0.1170 |
| excess_ci | [-0.1886, -0.0229] |
| committees | [SSAS, SSCM, SSEV, SSVA] |
| 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, Health Care Facilities, Health Care Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, 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 86% 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 0.0141, 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 | 0.0141 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.8582 |
| members_compared | 134 |
| lower95 | -0.0058 |
T13Co-trading with other members21% 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 0.212; circular-shift null mean 0.132, 95th pct 0.239, p = 0.110. Co-traded signed CAR 0.0141, p = 0.443.
- Evidence
- Statistical
- Co-traded share
- 21.2%
- p-value
- 0.443
- Holm-adjusted p
- 1.000
- BH q-value
- 0.902
- Robust to variants
- Yes
All computed statistics (10)
| n | 118 |
| cotraded_share | 0.2119 |
| null_mean | 0.1324 |
| null_p95 | 0.2390 |
| excess_p | 0.1100 |
| cotraded_share_wo_top | 0.1525 |
| excess_p_wo_top | 0.3400 |
| cotraded_car | 0.0141 |
| cotraded_car_ci | [-0.0256, 0.0539] |
| cotraded_car_p | 0.4426 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 15.3% |
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 |
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 overlap21 priced trades fell in affected industries in the 30 days before the member's committee events, but on only 4 distinct dates; at least 10 dates are needed for a date-clustered comparison.Not assessed
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
21 priced trades fell in affected industries in the 30 days before the member's committee events, but on only 4 distinct dates; at least 10 dates are needed for a date-clustered comparison.
- Evidence
- Descriptive
- Margin δ
- 0.5% per trade
All computed statistics (4)
| n | 21 |
| n_other | 72 |
| trade_dates | 4 |
| events | 3678 |
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 2015-01-29 (permutation p = 0.220).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2015-01-29 |
| changepoint_LR | 6.7112 |
| changepoint_p | 0.2200 |
| tradeday_rate_before | 1 |
| tradeday_rate_after | 0.0128 |
T14Family-account trades4% of trades were in a spouse's or dependent's name; returns not computed for them.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
4% of trades were in a spouse's or dependent's name; returns not computed for them.
- Evidence
- Descriptive
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (3)
| family_trades | 1 |
| family_share | 0.0400 |
| owner_unknown | 93 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
1 trade(s) in the prior five trading days-3.01%
S&P 500 (SPY) daily move (Aug 21, 2015)
Right way.
1 trade(s) in the prior five trading days-4.21%
S&P 500 (SPY) daily move (Aug 24, 2015)
Right way.
2 trade(s) in the prior five trading days+5.05%
S&P 500 (SPY) daily move (Dec 26, 2018)
Right way.
1 trade(s) in the prior five trading days-2.95%
S&P 500 (SPY) daily move (Mar 7, 2022)
Right way.
1 trade(s) in the prior five trading days+2.68%
S&P 500 (SPY) daily move (Mar 9, 2022)
Wrong way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| RPM RPM International Inc. | 14 | $329K to $810K |
| Alaska State General Obligation Bond | 1 | $250K to $500K |
| MSFT MSFT | 5 | $68K to $195K |
| SPY SPDR S&P 500 ETF | 3 | $66K to $165K |
| GOOG GOOG | 6 | $20K to $125K |
| WCMIX WCM Focused International Growth Fund Institutiona | 1 | $50K to $100K |
| AAPL AAPL | 4 | $18K to $95K |
| AMZN AMZN | 5 | $5,005 to $75K |
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 | |
|---|---|---|---|---|---|---|---|
| Jan 24, 2024 | RPM RPM | Sale | $15K to $50K | unknown | 16 d | −0.5% | Senate eFD search |
| Aug 22, 2023 | AAPL AAPL | Sale | $15K to $50K | unknown | 27 d | −0.6% | Senate eFD search |
| Aug 22, 2023 | ZTS ZTS | Sale | $1,001 to $15K | unknown | 27 d | −3.4% | Senate eFD search |
| Aug 22, 2023 | ALGN ALGN | Sale | $1,001 to $15K | unknown | 27 d | +0.5% | Senate eFD search |
| Aug 22, 2023 | AME AME | Sale | $1,001 to $15K | unknown | 27 d | −0.5% | Senate eFD search |
| Aug 22, 2023 | SCHW SCHW | Sale | $1,001 to $15K | unknown | 27 d | −3.6% | Senate eFD search |
| Aug 22, 2023 | LH LHCommittee | Sale | $1,001 to $15K | unknown | 27 d | +3.7% | Senate eFD search |
| Aug 22, 2023 | PPG PPG | Sale | $1,001 to $15K | unknown | 27 d | +1.5% | Senate eFD search |
| Aug 22, 2023 | PNC PNC | Sale | $1,001 to $15K | unknown | 27 d | +0.9% | Senate eFD search |
| Aug 22, 2023 | TJX TJX | Sale | $15K to $50K | unknown | 27 d | +0.2% | Senate eFD search |
| Aug 22, 2023 | BMY BMY | Sale | $1,001 to $15K | unknown | 27 d | −1.2% | Senate eFD search |
| Aug 22, 2023 | CVX CVX | Sale | $1,001 to $15K | unknown | 27 d | +1.3% | Senate eFD search |
| Aug 22, 2023 | CVS CVSCommittee | Sale | $1,001 to $15K | unknown | 27 d | +0.5% | Senate eFD search |
| Aug 22, 2023 | JNJ JNJ | Sale | $1,001 to $15K | unknown | 27 d | +1.1% | Senate eFD search |
| Aug 22, 2023 | BKNG BKNG | Sale | $1,001 to $15K | unknown | 27 d | +2.0% | Senate eFD search |
| Aug 22, 2023 | TMO TMO | Sale | $1,001 to $15K | unknown | 27 d | −3.2% | Senate eFD search |
| Aug 22, 2023 | AXP AXP | Sale | $1,001 to $15K | unknown | 27 d | +2.3% | Senate eFD search |
| Aug 22, 2023 | LUV LUVCommittee | Sale | $1,001 to $15K | unknown | 27 d | +1.4% | Senate eFD search |
| Aug 22, 2023 | MSFT MSFT | Sale | $50K to $100K | unknown | 27 d | +1.6% | Senate eFD search |
| Aug 22, 2023 | ACN ACN | Sale | $15K to $50K | unknown | 27 d | −1.7% | Senate eFD search |
| Aug 22, 2023 | MA MA | Sale | $1,001 to $15K | unknown | 27 d | −0.7% | Senate eFD search |
| Aug 22, 2023 | JPM JPM | Sale | $1,001 to $15K | unknown | 27 d | +1.1% | Senate eFD search |
| Aug 22, 2023 | COST COST | Sale | $1,001 to $15K | unknown | 27 d | +1.0% | Senate eFD search |
| Aug 22, 2023 | LRCX LRCX | Sale | $1,001 to $15K | unknown | 27 d | +2.0% | Senate eFD search |
| Aug 22, 2023 | NTRS NTRS | Sale | $1,001 to $15K | unknown | 27 d | +0.1% | Senate eFD search |
| Aug 22, 2023 | HON HON | Sale | $1,001 to $15K | unknown | 27 d | +0.3% | Senate eFD search |
| Aug 22, 2023 | GOOG GOOGCommittee | Sale | $15K to $50K | unknown | 27 d | −1.2% | Senate eFD search |
| Aug 22, 2023 | AMZN AMZN | Sale | $1,001 to $15K | unknown | 27 d | +3.0% | Senate eFD search |
| Aug 22, 2023 | BLK BLK | Sale | $1,001 to $15K | unknown | 27 d | −0.5% | Senate eFD search |
| Aug 22, 2023 | PXD PXD | Sale | $1,001 to $15K | unknown | 27 d | – | Senate eFD search |
| Aug 22, 2023 | ULTA ULTA | Sale | $1,001 to $15K | unknown | 27 d | +5.2% | Senate eFD search |
| Aug 22, 2023 | CHD CHD | Sale | $1,001 to $15K | unknown | 27 d | −1.5% | Senate eFD search |
| Aug 22, 2023 | TSCO TSCO | Sale | $1,001 to $15K | unknown | 27 d | −1.7% | Senate eFD search |
| Aug 22, 2023 | APH APH | Sale | $1,001 to $15K | unknown | 27 d | +0.3% | Senate eFD search |
| Mar 17, 2023 | WFC WFC | Sale | $1,001 to $15K | unknown | 40 d | +5.4% | Senate eFD search |
| Feb 21, 2023 | CHD CHD | Purchase | $1,001 to $15K | unknown | 23 d | +0.3% | Senate eFD search |
| Feb 10, 2023 | SCHW SCHW | Sale | $1,001 to $15K | unknown | 34 d | +0.2% | Senate eFD search |
| Feb 10, 2023 | GOOG GOOGCommittee | Purchase | $1,001 to $15K | unknown | 34 d | +0.5% | Senate eFD search |
| Feb 10, 2023 | CHD CHD | Purchase | $1,001 to $15K | unknown | 34 d | +1.7% | Senate eFD search |
| Jan 10, 2023 | BMY BMY | Sale | $1,001 to $15K | unknown | 34 d | −0.0% | Senate eFD search |
| Jan 10, 2023 | CVS CVSCommittee | Sale | $1,001 to $15K | unknown | 34 d | +3.0% | Senate eFD search |
| Jan 10, 2023 | ALGN ALGN | Purchase | $1,001 to $15K | unknown | 34 d | +7.3% | Senate eFD search |
| Jan 10, 2023 | AMZN AMZN | Purchase | $1,001 to $15K | unknown | 34 d | +6.4% | Senate eFD search |
| Jan 10, 2023 | PXD PXD | Sale | $1,001 to $15K | unknown | 34 d | – | Senate eFD search |
| Jan 10, 2023 | BKNG BKNG | Sale | $1,001 to $15K | unknown | 34 d | −3.1% | Senate eFD search |
| Jan 10, 2023 | ZTS ZTS | Purchase | $1,001 to $15K | unknown | 34 d | +3.8% | Senate eFD search |
| Jan 10, 2023 | ULTA ULTA | Sale | $1,001 to $15K | unknown | 34 d | −1.3% | Senate eFD search |
| Jan 10, 2023 | JPM JPM | Sale | $1,001 to $15K | unknown | 34 d | +1.5% | Senate eFD search |
| Nov 30, 2022 | MLM MLMCommittee | Sale | $1,001 to $15K | unknown | 21 d | +0.1% | Senate eFD search |
| Nov 30, 2022 | ADBE ADBE | Sale | $1,001 to $15K | unknown | 21 d | −1.0% | Senate eFD search |