Sen. John W. Hickenlooper
Democrat · Senator from CO
No test fits; open questions on trade size, breadth and concentration, direction before market-wide shocks and more.
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T1Trade size17% of 119 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were larger than usual.Open question
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 0.168, 90% Wilson [0.119, 0.232]. Event-linked size gap Delta_z = 0.02 (within-issuer permutation p = 0.494); 0 event-linked trades with z > 3 in bands of $50,001 or more.
- Evidence
- Statistical
- Lowest-band share
- 16.8% [11.9%, 23.2%] 90%
- p-value
- 0.494
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 119 |
| lowest_band_share | 0.1681 |
| lowest_band_ci | [0.1192, 0.2317] |
| share_over_50k | 0.6050 |
| max_z | 1.6373 |
| size_gap | 0.0186 |
| size_gap_p | 0.4940 |
| event_linked | 3 |
| event_linked_outliers | 0 |
T2Breadth and concentration45 different companies; the effective number of equally sized positions is 10 and trading spans 59% 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 0.103 (identified set [0.061, 0.182]); trade-count HHI 0.068 vs. 95th percentile 0.013 of 119 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.59 [0.50, 0.71]. Top three issuers (FWONK, LBRDK, LSXMK) carry at least 30% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 10 [5, 16] 90%
All computed statistics (13)
| n | 119 |
| issuers | 45 |
| hhi_mid | 0.1027 |
| hhi_bounds | [0.0610, 0.1824] |
| n_eff | 9.7393 |
| hhi_count | 0.0683 |
| peer_benchmark_p95 | 0.0126 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.5909 |
| sector_entropy_ci | [0.5037, 0.7109] |
| top3_share_lower | 0.3027 |
| top3 | [FWONK, LBRDK, LSXMK] |
| top3_tied_to_events | false |
T5Direction before market-wide shocksBefore 1 large market moves, the member's net trading pointed the right way 1 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 1.00, Clopper-Pearson 90% [0.05, 1.00]; exact one-sided p = 0.500; magnitude-weighted sign-flip p = 0.502. 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
- 100.0% [5.0%, 100.0%] 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 (7)
| n_episodes | 1 |
| hits | 1 |
| hit_rate | 1 |
| ci | [0.0500, 1] |
| p_exact | 0.5000 |
| p_magnitude | 0.5021 |
| episodes | [[object Object]] |
T7Disclosure timeliness18 of 121 trades (14.9%) 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 0.149, Wilson [0.103, 0.210]; 90th percentile lag 91 days; longest 455 days.
- Evidence
- Descriptive
- Late share
- 14.9% [10.3%, 21.0%] 90%
All computed statistics (15)
| n | 121 |
| amendment_rows_excluded | 0 |
| late | 18 |
| late_from_trade | 18 |
| excused_by_notification | 0 |
| late_share | 0.1488 |
| late_ci | [0.1033, 0.2096] |
| median_lag | 27 |
| p90_lag | 91 |
| max_lag | 455 |
| filings | 30 |
| late_filings | 4 |
| late_priced | 3 |
| timely_priced | 66 |
| late_priced_dates | 3 |
T8Committee overlap61% of the member's mapped trading by dollar value was in industries their committees oversee, against 38% for a comparable benchmark.Open question
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 SSCM, SSEG, SSHR, SSSB; jurisdiction sectors Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, Copper, Energy, Gold, Health Care, Human Resource & Employment Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Regional Banks, Semiconductors, Timber REITs, Utilities. Dollar share 0.608 (identified set [0.406, 0.778], bootstrap 0.443-0.740); benchmarks S&P 500 0.374, congressional peers 0.384.
- Evidence
- Descriptive
- Jurisdiction excess share
- 22.4% [5.9%, 35.6%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 82 |
| in_jurisdiction_trades | 44 |
| share | 0.6083 |
| share_bounds | [0.4062, 0.7776] |
| share_ci | [0.4431, 0.7398] |
| benchmark_sp500 | 0.3743 |
| benchmark_peers | 0.3839 |
| excess | 0.2244 |
| excess_ci | [0.0592, 0.3558] |
| committees | [SSCM, SSEG, SSHR, SSSB] |
| jurisdiction_sectors | [Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, Copper, Energy, Gold, Health Care, Human Resource & Employment Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Regional Banks, Semiconductors, Timber REITs, Utilities] |
| regression_error | Error evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) ^^^^^^^^^ |
| gamma1 | – |
| gamma1_ci | [–, –] |
| gamma1_p | – |
T9Policy-topic overlap33 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved +0.02% in the trade's favour, +0.51% 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 = 0.0002; pre-event minus other trades = 0.0051 [-0.0404, 0.0348], p = 0.378; mean pre-trade drift psi = -0.0058.
- Evidence
- Statistical
- Pre-event minus other trades, signed CAR
- +0.51% [−4.04%, +3.48%] 90%
- p-value
- 0.378
- 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 | 33 |
| n_other | 36 |
| theta9 | 1.72e-4 |
| diff | 0.0051 |
| ci | [-0.0404, 0.0348] |
| p | 0.3780 |
| pre_trade_drift | -0.0058 |
| pre_trade_drift_significant | false |
| events | 5604 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.4783 |
| trade_dates | 18 |
| placebo_reading | – |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Open question | +0.51% |
| Window 60 days | Open question | +0.51% |
| Excluding largest batch date | Open question | +0.47% |
| Placebo: month after events | – |
T15Short-swing round trips27 buy-and-sell round trips within six months; in the month after opening, those positions moved +1.67% 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) 0.0167 [-0.0363, 0.0697], t_KP = 0.24, over 9 priced openings. Realized market-adjusted return to the closing trade averaged +7.89% (win rate 40%); it is shown for context only because exit timing is chosen after the fact.
- Evidence
- Statistical
- Opening-trade signed 21-day CAR
- +1.67% [−3.63%, +6.97%] 90%
- p-value
- 0.407
- 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 | 27 |
| share_in_round_trips | 0.4538 |
| priced | 5 |
| realized_mean | 0.0789 |
| realized_win_rate | 0.4000 |
| opening_car | 0.0167 |
| ci | [-0.0363, 0.0697] |
| p | 0.4069 |
| openings_priced | 9 |
T3Cadence and event proximity14% of trading days were batches of three or more companies; 7% of trades look routine; 2.5% of trades came within five trading days before a large company-specific move (chance alone: 3.5%).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 8/59, Wilson [0.08, 0.23]; index of dispersion 3.37 (chi-square p = 0); routine share 0.07 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.025 vs. circular-shift null mean 0.035, p = 0.682.
- Evidence
- Statistical
- Batch-day share
- 13.6% [7.8%, 22.5%] 90%
- p-value
- 0.682
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (14)
| n | 119 |
| trade_days | 59 |
| batch_share_trades | 0.3277 |
| batch_day_share | 0.1356 |
| batch_day_ci | [0.0781, 0.2250] |
| dispersion_index | 3.3658 |
| dispersion_p | 0 |
| routine_share | 0.0672 |
| proximity_share | 0.0252 |
| proximity_null_mean | 0.0348 |
| proximity_null_p95 | 0.0756 |
| proximity_p | 0.6820 |
| proximity_nonroutine | 0.0270 |
| proximity_routine | 0 |
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 48% 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 -0.0025, 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 | -0.0025 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.4776 |
| members_compared | 134 |
| lower95 | -0.0058 |
T13Co-trading with other members10% of trades had another member trading the same stock the same way within a week (chance alone: 8%).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 0.101; circular-shift null mean 0.082, 95th pct 0.118, p = 0.270. Co-traded signed CAR 0.0421, p = 0.146.
- Evidence
- Statistical
- Co-traded share
- 10.1%
- p-value
- 0.146
- Holm-adjusted p
- 1.000
- BH q-value
- 0.902
- Robust to variants
- Yes
All computed statistics (10)
| n | 119 |
| cotraded_share | 0.1008 |
| null_mean | 0.0816 |
| null_p95 | 0.1176 |
| excess_p | 0.2700 |
| cotraded_share_wo_top | 0.0840 |
| excess_p_wo_top | 0.2700 |
| cotraded_car | 0.0421 |
| cotraded_car_ci | [-0.0583, 0.1426] |
| cotraded_car_p | 0.1460 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 8.4% |
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 69 priced trades, purchases and sales moved 0.25% 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) = -0.0025; 90% KP interval [-0.0654, 0.0604]; t_BMP = -0.20, r-bar = 0.111, t_KP = -0.06, Patell Z = -0.20, Corrado Z = -0.73. Dollar-weighted identified set [-0.0464, 0.0089]. Calendar-time alpha -21.76%/yr (NW t = -1.15, 490 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- −0.25% [−6.54%, +6.04%] 90%
- p-value
- 0.876
- 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 | 69 |
| theta | -0.0025 |
| ci | [-0.0654, 0.0604] |
| p | 0.5258 |
| t_kp | -0.0648 |
| rbar | 0.1113 |
| se_cs | 0.0122 |
| se_kp | 0.0377 |
| t_cs | -0.2057 |
| t_bmp | -0.2013 |
| patell_z | -0.2035 |
| corrado_z | -0.7271 |
| dollar_weighted_bounds | [-0.0464, 0.0089] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-0.0021, 3.83e-4] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −0.08% |
| Horizon 63 days | Open question | +1.56% |
| Excluding largest batch date | Open question | −0.58% |
| Self-owned accounts only | Not assessed | – |
| Dollar-weighted (bounds) | Open question | +0.89% |
| Calendar-time alpha (annualized) | −21.76% |
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
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 2023-06-12 (permutation p = 0.080).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2023-06-12 |
| changepoint_LR | 8.5228 |
| changepoint_p | 0.0800 |
| tradeday_rate_before | 0.0628 |
| tradeday_rate_after | 0.0288 |
T12Anticipation of large stock moves5 trades were followed within two weeks by a large company-specific move; 3 were on the profitable side.Inconclusive (too few trades)
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 0.60, Clopper-Pearson [0.19, 0.92], exact one-sided p = 0.500; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 60.0% [18.9%, 92.4%] 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 | 5 |
| hits | 3 |
| hit_rate | 0.6000 |
| ci | [0.1893, 0.9236] |
| priced | 69 |
| share_followed | 0.0725 |
T14Family-account tradesOnly 1 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 1 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 | 118 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
8 trade(s) in the prior five trading days-4.03%
S&P 500 (SPY) daily move (May 18, 2022)
Right way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| FWONK FWONK | 19 | $2.1M to $4.4M |
| LBRDK LBRDK | 16 | $1.9M to $4.1M |
| LSXMK LSXMK | 11 | $1.1M to $2.7M |
| CMG CMG | 7 | $650K to $1.6M |
| BATRK BATRK | 10 | $597K to $1.4M |
| NVDA NVDA | 1 | $500K to $1M |
| QRTEA QRTEA | 2 | $350K to $750K |
| AMZN AMZN | 2 | $265K to $550K |
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 | |
|---|---|---|---|---|---|---|---|
| Feb 5, 2026 | SIRI SIRICommittee | Sale | $50K to $100K | unknown | 27 d | +2.5% | Senate eFD search |
| Jan 14, 2026 | UBER UBER | Purchase | $100K to $250K | unknown | 23 d | −2.6% | Senate eFD search |
| Jan 14, 2026 | LOW LOW | Sale | $50K to $100K | unknown | 23 d | −0.9% | Senate eFD search |
| Jan 14, 2026 | TJX TJX | Sale | $50K to $100K | unknown | 23 d | +1.4% | Senate eFD search |
| Jan 14, 2026 | ETN ETN | Purchase | $50K to $100K | unknown | 23 d | +1.6% | Senate eFD search |
| Dec 10, 2025 | FWONK FWONKCommittee | Sale | $50K to $100K | unknown | 27 d | −6.4% | Senate eFD search |
| Dec 10, 2025 | FWONK FWONKCommittee | Sale | $15K to $50K | unknown | 27 d | −6.4% | Senate eFD search |
| Sep 2, 2025 | INTU INTU | Purchase | $100K to $250K | unknown | 34 d | −0.4% | Senate eFD search |
| Sep 2, 2025 | PEP PEP | Sale | $100K to $250K | unknown | 34 d | +3.8% | Senate eFD search |
| Sep 2, 2025 | PANW PANW | Purchase | $100K to $250K | unknown | 34 d | +1.8% | Senate eFD search |
| Jun 12, 2025 | CMG CMG | Sale | $100K to $250K | unknown | 25 d | −5.4% | Senate eFD search |
| Jun 3, 2025 | PLTR PLTR | Sale | $1,001 to $15K | unknown | 336 d | +5.9% | Senate eFD search |
| May 19, 2025 | LBRDK LBRDK | Purchase | $250K to $500K | unknown | 25 d | – | Senate eFD search |
| May 19, 2025 | LBRDK LBRDK | Sale | $500K to $1M | unknown | 351 d | – | Senate eFD search |
| May 9, 2025 | FWONK FWONKCommittee | Sale | $250K to $500K | unknown | 17 d | +2.9% | Senate eFD search |
| May 9, 2025 | FWONK FWONKCommittee | Purchase | $100K to $250K | unknown | 17 d | −2.9% | Senate eFD search |
| May 9, 2025 | FWONK FWONKCommittee | Sale | $15K to $50K | unknown | 17 d | +2.9% | Senate eFD search |
| May 9, 2025 | LBRDK LBRDK | Sale | $100K to $250K | unknown | 17 d | – | Senate eFD search |
| May 9, 2025 | LBRDK LBRDK | Purchase | $100K to $250K | unknown | 17 d | – | Senate eFD search |
| May 9, 2025 | LBRDK LBRDK | Purchase | $250K to $500K | unknown | 17 d | – | Senate eFD search |
| May 9, 2025 | LBRDK LBRDK | Sale | $250K to $500K | unknown | 17 d | – | Senate eFD search |
| Apr 25, 2025 | SIRI SIRICommittee | Sale | $50K to $100K | unknown | 31 d | +8.0% | Senate eFD search |
| Apr 16, 2025 | PLTR PLTR | Sale | $1,001 to $15K | unknown | 384 d | −3.2% | Senate eFD search |
| Mar 18, 2025 | FWONK FWONKCommittee | Sale | $50K to $100K | unknown | 34 d | −0.6% | Senate eFD search |
| Sep 12, 2024 | CMG CMG | Sale | $100K to $250K | unknown | 33 d | −0.7% | Senate eFD search |
| Sep 9, 2024 | LSXMK Sirius XM Holdings Inc. - Common Stock (Received) | Exchange | $100K to $250K | unknown | 36 d | – | Senate eFD search |
| Sep 6, 2024 | LSXMK LSXMK | Sale | $100K to $250K | unknown | 39 d | – | Senate eFD search |
| Aug 30, 2024 | BATRK BATRKCommittee | Sale | $50K to $100K | unknown | 20 d | – | Senate eFD search |
| Aug 28, 2024 | BATRK BATRKCommittee | Purchase | $100K to $250K | unknown | 22 d | – | Senate eFD search |
| Aug 28, 2024 | BATRK BATRKCommittee | Sale | $250K to $500K | unknown | 22 d | – | Senate eFD search |
| Jul 25, 2024 | LINE LINE | Purchase | $50K to $100K | unknown | 42 d | – | Senate eFD search |
| Jun 3, 2024 | FWONK FWONKCommittee | Sale | $100K to $250K | unknown | 7 d | +5.5% | Senate eFD search |
| Jun 3, 2024 | FWONK FWONKCommittee | Purchase | $100K to $250K | unknown | 7 d | −5.5% | Senate eFD search |
| May 20, 2024 | FWONK FWONKCommittee | Sale | $250K to $500K | unknown | 21 d | −0.9% | Senate eFD search |
| May 20, 2024 | FWONK FWONKCommittee | Purchase | $100K to $250K | unknown | 21 d | +0.9% | Senate eFD search |
| Mar 12, 2024 | LSXMK LSXMK | Sale | $15K to $50K | unknown | 30 d | – | Senate eFD search |
| Dec 13, 2023 | CMG CMG | Sale | $100K to $250K | unknown | 29 d | +1.5% | Senate eFD search |
| Jun 9, 2023 | SIRI SIRICommittee | Sale | $15K to $50K | unknown | 6 d | −2.8% | Senate eFD search |
| May 26, 2023 | CMG CMG | Sale | $100K to $250K | unknown | 20 d | +2.3% | Senate eFD search |
| May 10, 2023 | VZ VZCommittee | Sale | $100K to $250K | unknown | 36 d | +3.7% | Senate eFD search |
| May 10, 2023 | AMT AMT | Sale | $100K to $250K | unknown | 36 d | +1.0% | Senate eFD search |
| May 10, 2023 | INTC INTCCommittee | Sale | $100K to $250K | unknown | 36 d | +3.6% | Senate eFD search |
| May 1, 2023 | CMG CMG | Sale | $100K to $250K | unknown | 14 d | −0.0% | Senate eFD search |
| Apr 28, 2023 | CCCS CCCS | Sale | $15K to $50K | unknown | 17 d | – | Senate eFD search |
| Apr 28, 2023 | DIS DISCommittee | Sale | $15K to $50K | unknown | 17 d | +0.7% | Senate eFD search |
| Apr 28, 2023 | TTD TTD | Sale | $15K to $50K | unknown | 17 d | +1.6% | Senate eFD search |
| Apr 28, 2023 | PINS PINS | Sale | $1,001 to $15K | unknown | 17 d | +8.7% | Senate eFD search |
| Apr 28, 2023 | PTON PTON | Sale | $1,001 to $15K | unknown | 17 d | +9.8% | Senate eFD search |
| Apr 28, 2023 | BABA BABA | Sale | $1,001 to $15K | unknown | 17 d | +1.1% | Senate eFD search |
| Apr 28, 2023 | AMZN AMZN | Sale | $15K to $50K | unknown | 17 d | −2.0% | Senate eFD search |