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U.S. Senate

Sen. John W. Hickenlooper

Democrat · Senator from CO

Commerce, Science, and TransportationEnergy and Natural ResourcesHealth, Education, Labor, and PensionsSmall Business and Entrepreneurship
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on trade size, breadth and concentration, direction before market-wide shocks and more.

Trades disclosed
121
Jan 22, 2021 to Feb 5, 2026
Companies traded
46
Disclosed value
$10.2M–$22.7M
Sum of reported ranges
Filed after 45 days
4
Median filing lag 27 days

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
0Estimate
This member16.8%
All computed statistics (9)
n119
lowest_band_share0.1681
lowest_band_ci[0.1192, 0.2317]
share_over_50k0.6050
max_z1.6373
size_gap0.0186
size_gap_p0.4940
event_linked3
event_linked_outliers0
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%
0Estimate
This member10
All computed statistics (13)
n119
issuers45
hhi_mid0.1027
hhi_bounds[0.0610, 0.1824]
n_eff9.7393
hhi_count0.0683
peer_benchmark_p950.0126
peer_benchmark_p0.0020
sector_entropy0.5909
sector_entropy_ci[0.5037, 0.7109]
top3_share_lower0.3027
top3[FWONK, LBRDK, LSXMK]
top3_tied_to_eventsfalse
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
0δEstimate
This member100.0%
All computed statistics (7)
n_episodes1
hits1
hit_rate1
ci[0.0500, 1]
p_exact0.5000
p_magnitude0.5021
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%
0Estimate
This member14.9%
All computed statistics (15)
n121
amendment_rows_excluded0
late18
late_from_trade18
excused_by_notification0
late_share0.1488
late_ci[0.1033, 0.2096]
median_lag27
p90_lag91
max_lag455
filings30
late_filings4
late_priced3
timely_priced66
late_priced_dates3
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
0δEstimate
This member22.4%
All computed statistics (15)
n82
in_jurisdiction_trades44
share0.6083
share_bounds[0.4062, 0.7776]
share_ci[0.4431, 0.7398]
benchmark_sp5000.3743
benchmark_peers0.3839
excess0.2244
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_errorError 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
0δEstimate
This member+0.51%
All computed statistics (13)
n33
n_other36
theta91.72e-4
diff0.0051
ci[-0.0404, 0.0348]
p0.3780
pre_trade_drift-0.0058
pre_trade_drift_significantfalse
events5604
events_by_kind[object Object]
affected_share_of_priced_trades0.4783
trade_dates18
placebo_reading–
Robustness variantReadingEstimate
Window 15 daysOpen question+0.51%
Window 60 daysOpen question+0.51%
Excluding largest batch dateOpen 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
0δEstimate
This member+1.67%
All computed statistics (9)
round_trips27
share_in_round_trips0.4538
priced5
realized_mean0.0789
realized_win_rate0.4000
opening_car0.0167
ci[-0.0363, 0.0697]
p0.4069
openings_priced9
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
0Estimate
This member13.6%
All computed statistics (14)
n119
trade_days59
batch_share_trades0.3277
batch_day_share0.1356
batch_day_ci[0.0781, 0.2250]
dispersion_index3.3658
dispersion_p0
routine_share0.0672
proximity_share0.0252
proximity_null_mean0.0348
proximity_null_p950.0756
proximity_p0.6820
proximity_nonroutine0.0270
proximity_routine0
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
0δEstimate
This member−0.28%
All computed statistics (8)
raw-0.0025
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.4776
members_compared134
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)
n119
cotraded_share0.1008
null_mean0.0816
null_p950.1176
excess_p0.2700
cotraded_share_wo_top0.0840
excess_p_wo_top0.2700
cotraded_car0.0421
cotraded_car_ci[-0.0583, 0.1426]
cotraded_car_p0.1460
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit8.4%
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_trades0
option_share0
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
0δEstimate
This member−0.25%
All computed statistics (16)
n69
theta-0.0025
ci[-0.0654, 0.0604]
p0.5258
t_kp-0.0648
rbar0.1113
se_cs0.0122
se_kp0.0377
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 variantReadingEstimate
Horizon 5 daysOpen question−0.08%
Horizon 63 daysOpen question+1.56%
Excluding largest batch dateOpen question−0.58%
Self-owned accounts onlyNot 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)
changepoint2023-06-12
changepoint_LR8.5228
changepoint_p0.0800
tradeday_rate_before0.0628
tradeday_rate_after0.0288
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
0δEstimate
This member60.0%
All computed statistics (6)
n5
hits3
hit_rate0.6000
ci[0.1893, 0.9236]
priced69
share_followed0.0725
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_unknown118

Documented episodes

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

Market move on 2022-05-18
–
8 trade(s) in the prior five trading days
-4.03%

S&P 500 (SPY) daily move (May 18, 2022)

Right way.

Disclosed trades per monthPurchasesSales
202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
FWONK FWONK19$2.1M to $4.4M
LBRDK LBRDK16$1.9M to $4.1M
LSXMK LSXMK11$1.1M to $2.7M
CMG CMG7$650K to $1.6M
BATRK BATRK10$597K to $1.4M
NVDA NVDA1$500K to $1M
QRTEA QRTEA2$350K to $750K
AMZN AMZN2$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.

JSON · CSV
121 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Feb 5, 2026SIRI SIRICommitteeSale$50K to $100Kunknown27 d+2.5%Senate eFD search
Jan 14, 2026UBER UBERPurchase$100K to $250Kunknown23 d−2.6%Senate eFD search
Jan 14, 2026LOW LOWSale$50K to $100Kunknown23 d−0.9%Senate eFD search
Jan 14, 2026TJX TJXSale$50K to $100Kunknown23 d+1.4%Senate eFD search
Jan 14, 2026ETN ETNPurchase$50K to $100Kunknown23 d+1.6%Senate eFD search
Dec 10, 2025FWONK FWONKCommitteeSale$50K to $100Kunknown27 d−6.4%Senate eFD search
Dec 10, 2025FWONK FWONKCommitteeSale$15K to $50Kunknown27 d−6.4%Senate eFD search
Sep 2, 2025INTU INTUPurchase$100K to $250Kunknown34 d−0.4%Senate eFD search
Sep 2, 2025PEP PEPSale$100K to $250Kunknown34 d+3.8%Senate eFD search
Sep 2, 2025PANW PANWPurchase$100K to $250Kunknown34 d+1.8%Senate eFD search
Jun 12, 2025CMG CMGSale$100K to $250Kunknown25 d−5.4%Senate eFD search
Jun 3, 2025PLTR PLTRSale$1,001 to $15Kunknown336 d+5.9%Senate eFD search
May 19, 2025LBRDK LBRDKPurchase$250K to $500Kunknown25 d–Senate eFD search
May 19, 2025LBRDK LBRDKSale$500K to $1Munknown351 d–Senate eFD search
May 9, 2025FWONK FWONKCommitteeSale$250K to $500Kunknown17 d+2.9%Senate eFD search
May 9, 2025FWONK FWONKCommitteePurchase$100K to $250Kunknown17 d−2.9%Senate eFD search
May 9, 2025FWONK FWONKCommitteeSale$15K to $50Kunknown17 d+2.9%Senate eFD search
May 9, 2025LBRDK LBRDKSale$100K to $250Kunknown17 d–Senate eFD search
May 9, 2025LBRDK LBRDKPurchase$100K to $250Kunknown17 d–Senate eFD search
May 9, 2025LBRDK LBRDKPurchase$250K to $500Kunknown17 d–Senate eFD search
May 9, 2025LBRDK LBRDKSale$250K to $500Kunknown17 d–Senate eFD search
Apr 25, 2025SIRI SIRICommitteeSale$50K to $100Kunknown31 d+8.0%Senate eFD search
Apr 16, 2025PLTR PLTRSale$1,001 to $15Kunknown384 d−3.2%Senate eFD search
Mar 18, 2025FWONK FWONKCommitteeSale$50K to $100Kunknown34 d−0.6%Senate eFD search
Sep 12, 2024CMG CMGSale$100K to $250Kunknown33 d−0.7%Senate eFD search
Sep 9, 2024LSXMK Sirius XM Holdings Inc. - Common Stock (Received)Exchange$100K to $250Kunknown36 d–Senate eFD search
Sep 6, 2024LSXMK LSXMKSale$100K to $250Kunknown39 d–Senate eFD search
Aug 30, 2024BATRK BATRKCommitteeSale$50K to $100Kunknown20 d–Senate eFD search
Aug 28, 2024BATRK BATRKCommitteePurchase$100K to $250Kunknown22 d–Senate eFD search
Aug 28, 2024BATRK BATRKCommitteeSale$250K to $500Kunknown22 d–Senate eFD search
Jul 25, 2024LINE LINEPurchase$50K to $100Kunknown42 d–Senate eFD search
Jun 3, 2024FWONK FWONKCommitteeSale$100K to $250Kunknown7 d+5.5%Senate eFD search
Jun 3, 2024FWONK FWONKCommitteePurchase$100K to $250Kunknown7 d−5.5%Senate eFD search
May 20, 2024FWONK FWONKCommitteeSale$250K to $500Kunknown21 d−0.9%Senate eFD search
May 20, 2024FWONK FWONKCommitteePurchase$100K to $250Kunknown21 d+0.9%Senate eFD search
Mar 12, 2024LSXMK LSXMKSale$15K to $50Kunknown30 d–Senate eFD search
Dec 13, 2023CMG CMGSale$100K to $250Kunknown29 d+1.5%Senate eFD search
Jun 9, 2023SIRI SIRICommitteeSale$15K to $50Kunknown6 d−2.8%Senate eFD search
May 26, 2023CMG CMGSale$100K to $250Kunknown20 d+2.3%Senate eFD search
May 10, 2023VZ VZCommitteeSale$100K to $250Kunknown36 d+3.7%Senate eFD search
May 10, 2023AMT AMTSale$100K to $250Kunknown36 d+1.0%Senate eFD search
May 10, 2023INTC INTCCommitteeSale$100K to $250Kunknown36 d+3.6%Senate eFD search
May 1, 2023CMG CMGSale$100K to $250Kunknown14 d−0.0%Senate eFD search
Apr 28, 2023CCCS CCCSSale$15K to $50Kunknown17 d–Senate eFD search
Apr 28, 2023DIS DISCommitteeSale$15K to $50Kunknown17 d+0.7%Senate eFD search
Apr 28, 2023TTD TTDSale$15K to $50Kunknown17 d+1.6%Senate eFD search
Apr 28, 2023PINS PINSSale$1,001 to $15Kunknown17 d+8.7%Senate eFD search
Apr 28, 2023PTON PTONSale$1,001 to $15Kunknown17 d+9.8%Senate eFD search
Apr 28, 2023BABA BABASale$1,001 to $15Kunknown17 d+1.1%Senate eFD search
Apr 28, 2023AMZN AMZNSale$15K to $50Kunknown17 d−2.0%Senate eFD search