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U.S. Senate

Sen. Angus S. King, Jr.

Independent · Senator from ME

IntelligenceArmed ServicesEnergy and Natural ResourcesVeterans' Affairs
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; screening signal on family-account trades (weaker evidence than a fit).

Trades disclosed
118
Apr 28, 2014 to Feb 13, 2026
Companies traded
96
Disclosed value
$503.1K–$2.7M
Sum of reported ranges
Filed after 45 days
6
Median filing lag 30.5 days

Scorecard

Select a test to see the estimate, interval, adjusted p-values and robustness checks.

T5Direction before market-wide shocksBefore 2 large market moves, the member's net trading pointed the right way 2 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% [0.22, 1.00]; exact one-sided p = 0.250; magnitude-weighted sign-flip p = 0.245. 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% [22.4%, 100.0%] 90%
p-value
0.250
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_episodes2
hits2
hit_rate1
ci[0.2236, 1]
p_exact0.2500
p_magnitude0.2452
episodes[[object Object], [object Object]]
T7Disclosure timeliness11 of 118 trades (9.3%) were disclosed late; median lag 30 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 0.093, Wilson [0.058, 0.147]; 90th percentile lag 42 days; longest 58 days.

Evidence
Descriptive
Late share
9.3% [5.8%, 14.7%] 90%
0Estimate
This member9.3%
All computed statistics (15)
n118
amendment_rows_excluded0
late11
late_from_trade11
excused_by_notification0
late_share0.0932
late_ci[0.0579, 0.1468]
median_lag30.5000
p90_lag42.2000
max_lag58
filings47
late_filings6
late_priced4
timely_priced64
late_priced_dates2
T14Family-account trades100% of trades were in family accounts; those moved +3.36% in the trade's favour over a month.Screening signal

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 0.0336 [0.0059, 0.0612], t_KP = 1.95.

Evidence
Statistical
Family-account signed CAR
+3.36% [+0.59%, +6.12%] 90%
p-value
0.031
Holm-adjusted p
0.216
BH q-value
0.908
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+3.36%
All computed statistics (8)
family_trades31
family_share1
owner_unknown44
family_car0.0336
family_ci[0.0059, 0.0612]
diff–
diff_ci[–, –]
diff_p–
T1Trade size100% of 75 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 1.000, 90% Wilson [0.965, 1.000]. 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
100.0% [96.5%, 100.0%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member100.0%
All computed statistics (9)
n75
lowest_band_share1
lowest_band_ci[0.9652, 1]
share_over_50k0
max_z0
size_gap0
size_gap_p1
event_linked9
event_linked_outliers0
T2Breadth and concentration55 different companies; the effective number of equally sized positions is 47 and trading spans 90% 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 0.021 (identified set [0.018, 0.164]); trade-count HHI 0.021 vs. 95th percentile 0.018 of 75 random draws from all congressional trades (p = 0.006). Normalized sector entropy 0.90 [0.89, 0.96]. Top three issuers (VZ, SLB, ADBE) carry at least 1% of dollar volume.

Evidence
Statistical
Effective number of issuers
47 [6, 55] 90%
0Estimate
This member47
All computed statistics (13)
n75
issuers55
hhi_mid0.0212
hhi_bounds[0.0182, 0.1641]
n_eff47.2689
hhi_count0.0212
peer_benchmark_p950.0180
peer_benchmark_p0.0060
sector_entropy0.9023
sector_entropy_ci[0.8932, 0.9618]
top3_share_lower0.0079
top3[VZ, SLB, ADBE]
top3_tied_to_eventstrue
T3Cadence and event proximity20% of trading days were batches of three or more companies; 0% of trades look routine; 12.0% of trades came within five trading days before a large company-specific move (chance alone: 5.8%).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 6/30, Wilson [0.11, 0.34]; index of dispersion 8.69 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.120 vs. circular-shift null mean 0.058, p = 0.074.

Evidence
Statistical
Batch-day share
20.0% [10.7%, 34.3%] 90%
p-value
0.074
Holm-adjusted p
0.444
BH q-value
0.441
0Estimate
This member20.0%
All computed statistics (14)
n75
trade_days30
batch_share_trades0.5867
batch_day_share0.2000
batch_day_ci[0.1071, 0.3425]
dispersion_index8.6851
dispersion_p0
routine_share0
proximity_share0.1200
proximity_null_mean0.0585
proximity_null_p950.1200
proximity_p0.0740
proximity_nonroutine0.1200
proximity_routine0
T8Committee overlap17% of the member's mapped trading by dollar value was in industries their committees oversee, against 16% 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 SLIN, SSAS, SSEG, SSVA; jurisdiction sectors Aerospace & Defense, Copper, Energy, Gold, Health Care Facilities, Health Care Services, Systems Software, Timber REITs, Utilities. Dollar share 0.169 (identified set [0.013, 0.753], bootstrap 0.081-0.292); benchmarks S&P 500 0.162, congressional peers 0.138.

Evidence
Descriptive
Jurisdiction excess share
0.7% [-8.2%, 13.0%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member0.7%
All computed statistics (15)
n71
in_jurisdiction_trades12
share0.1690
share_bounds[0.0134, 0.7530]
share_ci[0.0808, 0.2925]
benchmark_sp5000.1624
benchmark_peers0.1376
excess0.0066
excess_ci[-0.0815, 0.1301]
committees[SLIN, SSAS, SSEG, SSVA]
jurisdiction_sectors[Aerospace & Defense, Copper, Energy, Gold, Health Care Facilities, Health Care Services, Systems Software, Timber REITs, Utilities]
regression_errorError evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) ^^^^^^^^^
gamma1–
gamma1_ci[–, –]
gamma1_p–
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 39% 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 -0.0047, 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-0.0047
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.3881
members_compared134
lower95-0.0058
T13Co-trading with other members20% of trades had another member trading the same stock the same way within a week (chance alone: 15%).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 0.200; circular-shift null mean 0.145, 95th pct 0.228, p = 0.170. Co-traded signed CAR -0.0239, p = 0.845.

Evidence
Statistical
Co-traded share
20.0%
p-value
0.845
Holm-adjusted p
1.000
BH q-value
0.945
Robust to variants
Yes
All computed statistics (10)
n75
cotraded_share0.2000
null_mean0.1453
null_p950.2280
excess_p0.1700
cotraded_share_wo_top0.1867
excess_p_wo_top0.1800
cotraded_car-0.0239
cotraded_car_ci[-0.0775, 0.0297]
cotraded_car_p0.8453
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit18.7%
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 68 priced trades, purchases and sales moved 0.47% 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) = -0.0047; 90% KP interval [-0.0375, 0.0282]; t_BMP = 0.02, r-bar = 0.029, t_KP = 0.01, Patell Z = 0.02, Corrado Z = -0.21. Dollar-weighted identified set [-0.1150, 0.0871]. Calendar-time alpha 38.36%/yr (NW t = 2.44, 507 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.47% [−3.75%, +2.82%] 90%
p-value
0.496
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−0.47%
All computed statistics (16)
n68
theta-0.0047
ci[-0.0375, 0.0282]
p0.4956
t_kp0.0111
rbar0.0293
se_cs0.0113
se_kp0.0197
t_cs-0.4145
t_bmp0.0193
patell_z0.0242
corrado_z-0.2059
dollar_weighted_bounds[-0.1150, 0.0871]
calendar_time[object Object]
calendar_alpha_ci[4.81e-4, 0.0026]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.39%
Horizon 63 daysOpen question−0.92%
Excluding largest batch dateOpen question+1.03%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+8.71%
Calendar-time alpha (annualized)+38.36%
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 overlap7 priced trades fell in affected industries in the 30 days before the member's committee events and 61 did not; at least 10 of each are needed to compare them.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
7 priced trades fell in affected industries in the 30 days before the member's committee events and 61 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n7
n_other61
events3382
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 2014-04-29 (permutation p = 0.200).

Evidence
Descriptive
All computed statistics (5)
changepoint2014-04-29
changepoint_LR7.3155
changepoint_p0.2000
tradeday_rate_before1
tradeday_rate_after0.0094
T12Anticipation of large stock moves18 trades were followed within two weeks by a large company-specific move; 8 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 0.44, Clopper-Pearson [0.24, 0.66], exact one-sided p = 0.760; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
44.4% [24.4%, 65.9%] 90%
p-value
0.760
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member44.4%
All computed statistics (6)
n18
hits8
hit_rate0.4444
ci[0.2440, 0.6594]
priced69
share_followed0.2609
T15Short-swing round trips2 round trips but fewer than three priced.Not assessed

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
2 round trips but fewer than three priced.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
round_trips2
share_in_round_trips0.0533

Documented episodes

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

Market move on 2014-07-31
–
1 trade(s) in the prior five trading days
-1.97%

S&P 500 (SPY) daily move (Jul 31, 2014)

Right way.

Market move on 2018-10-24
–
1 trade(s) in the prior five trading days
-3.03%

S&P 500 (SPY) daily move (Oct 24, 2018)

Right way.

Disclosed trades per monthPurchasesSales
201520162017201820192020202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
ANANIA & ASSOCIATES INVESTMENT CO CLASS B MEMBERSHIP SHARES Company: ANANIA & ASSOCIATES INVESTMENT CO LLC  (PORTLAND, ME) Description:  VENTURE CAPITAL CORPORATION1$50K to $100K
Maine Muni Bond - Town of Orono ME GO 3% 11/01/20241$15K to $50K
Maine Turnpike Authority Bond 3.00% 07/01/20261$15K to $50K
Me Muni Bond Bk Rev 3% 09/01/20261$15K to $50K
Maine St Hsg Auth 11/15/2017 4.4% Rate/Coupon: 4.40 % Matures: 11/15/20171$15K to $50K
Augusta ME 12/01/2016 4.00% Rate/Coupon: 4.00% Matures: 12/01/20161$15K to $50K
Muni Bond Cape Elizabeth ME Rate/Coupon: 3.75% Matures: 04/01/20161$15K to $50K
Muni Bond Ellsworth ME GO Rate/Coupon: 2.25% Matures: 12/01/20241$15K to $50K

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
118 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Feb 13, 2026MSFT MSFTCommitteeSale$1,001 to $15Kunknown39 d+4.3%Senate eFD search
Feb 13, 2026LLY LLYSale$1,001 to $15Kunknown39 d−1.4%Senate eFD search
Feb 13, 2026UBER UBERSale$1,001 to $15Kunknown39 d−1.3%Senate eFD search
Feb 13, 2026META METASale$1,001 to $15Kunknown39 d−0.0%Senate eFD search
Feb 13, 2026ADSK ADSKSale$1,001 to $15Kunknown39 d–Senate eFD search
Feb 13, 2026ONON ONONSale$1,001 to $15Kunknown39 d−5.1%Senate eFD search
Feb 13, 2026BX BXSale$1,001 to $15Kunknown39 d+12.6%Senate eFD search
Feb 13, 2026PYPL PYPLSale$1,001 to $15Kunknown39 d−9.9%Senate eFD search
Feb 13, 2026NFLX NFLXSale$1,001 to $15Kunknown39 d+0.7%Senate eFD search
Dec 29, 2025HON HONPurchase$1,001 to $15Kunknown28 d+3.9%Senate eFD search
Dec 29, 2025CMCSA CMCSASale$1,001 to $15Kunknown28 d+1.6%Senate eFD search
Dec 29, 2025LLY LLYPurchase$1,001 to $15Kunknown28 d−2.2%Senate eFD search
Jul 21, 2025ONON ONONPurchase$1,001 to $15Kunknown28 d−6.6%Senate eFD search
Jul 21, 2025XOM XOMCommitteePurchase$1,001 to $15Kunknown28 d+2.8%Senate eFD search
Jul 21, 2025MRVL MRVLPurchase$1,001 to $15Kunknown28 d+0.8%Senate eFD search
Jul 21, 2025JPM JPMPurchase$1,001 to $15Kunknown28 d+0.9%Senate eFD search
Jul 21, 2025META METAPurchase$1,001 to $15Kunknown28 d−1.7%Senate eFD search
Jul 21, 2025VRT VRTPurchase$1,001 to $15Kunknown28 d+8.7%Senate eFD search
Jul 21, 2025AMAT AMATPurchase$1,001 to $15Kunknown28 d−2.6%Senate eFD search
Jul 21, 2025PYPL PYPLPurchase$1,001 to $15Kunknown28 d+2.7%Senate eFD search
Jul 21, 2025BX BXPurchase$1,001 to $15Kunknown28 d+4.2%Senate eFD search
Jul 21, 2025GOOGL GOOGLPurchase$1,001 to $15Kunknown28 d+0.2%Senate eFD search
Jul 21, 2025PWR PWRPurchase$1,001 to $15Kunknown28 d+1.2%Senate eFD search
Jul 21, 2025NVDA NVDAPurchase$1,001 to $15Kunknown28 d+0.3%Senate eFD search
Jul 21, 2025BAC BACPurchase$1,001 to $15Kunknown28 d+0.4%Senate eFD search
Jul 21, 2025ADSK ADSKPurchase$1,001 to $15Kunknown28 d+1.5%Senate eFD search
Jul 21, 2025LOW LOWPurchase$1,001 to $15Kunknown28 d+4.0%Senate eFD search
Jul 21, 2025TMO TMOSale$1,001 to $15Kunknown28 d−18.4%Senate eFD search
Jul 21, 2025NFLX NFLXPurchase$1,001 to $15Kunknown28 d−7.4%Senate eFD search
Jul 21, 2025KEX KEXPurchase$1,001 to $15Kunknown28 d+3.2%Senate eFD search
Jul 21, 2025AMD AMDPurchase$1,001 to $15Kunknown28 d+8.6%Senate eFD search
Jul 21, 2025MSFT MSFTCommitteePurchase$1,001 to $15Kunknown28 d−0.7%Senate eFD search
Jul 21, 2025UBER UBERPurchase$1,001 to $15Kunknown28 d−2.5%Senate eFD search
Jul 21, 2025ANET ANETPurchase$1,001 to $15Kunknown28 d+2.9%Senate eFD search
Jul 15, 2025UNH UNHSale$1,001 to $15Kunknown34 d+1.5%Senate eFD search
Mar 7, 2024VZ VZPurchase$1,001 to $15Kunknown41 d+0.4%Senate eFD search
Dec 27, 2023VZ VZSale$1,001 to $15Kunknown20 d−6.6%Senate eFD search
Dec 27, 2023EA EAPurchase$1,001 to $15Kunknown20 d–Senate eFD search
May 19, 2023MMM MMMSale$1,001 to $15Kunknown32 d+1.5%Senate eFD search
Mar 20, 2023USB USBSale$1,001 to $15Kunknown24 d−1.4%Senate eFD search
Dec 21, 2022EA EAPurchase$1,001 to $15Kunknown28 d–Senate eFD search
Dec 19, 2022ADBE ADBESale$1,001 to $15Kunknown30 d−2.2%Senate eFD search
Jun 24, 2021TMO TMOPurchase$1,001 to $15Kunknown34 d+1.7%Senate eFD search
Jun 24, 2021ADBE ADBEPurchase$1,001 to $15Kunknown34 d+0.1%Senate eFD search
Sep 28, 2020 MAINE STATE HSG AUTH REV Rate/Coupon: 2.60% Matures: 11/15/2022Sale$15K to $50Kspouse9 d–Filing
Aug 18, 2020VZ Verizon Communications Inc.Purchase$1,001 to $15Kspouse29 d−0.4%Filing
Aug 18, 2020SLB Schlumberger LimitedCommitteeSale$1,001 to $15Kspouse29 d+3.6%Filing
Aug 18, 2020XOM Exxon Mobil CorporationCommitteeSale$1,001 to $15Kspouse29 d+4.4%Filing
Aug 18, 2020COP ConocoPhillipsCommitteeSale$1,001 to $15Kspouse29 d+5.6%Filing
Sep 10, 2019 ME Muni Bond Waterville ME GO Rate/Coupon: 2.0% Matures: 10/01/2023Purchase$15K to $50Kspouse41 d–Filing