An independent review of public financial disclosures. Not affiliated with or endorsed by the U.S. House, the U.S. Senate, or any government agency.
U.S. Senate

Sen. Alan Armstrong

Republican · Senator from OK

Indian AffairsHealth, Education, Labor, and Pensions
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on breadth and concentration, disclosure timeliness, short-swing round trips and more.

Trades disclosed
369
Mar 24, 2026 to Aug 20, 2026
Companies traded
345
Disclosed value
$7.6M–$35.2M
Sum of reported ranges
Filed after 45 days
1
Median filing lag 116 days

Scorecard

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

T2Breadth and concentration345 different companies; the effective number of equally sized positions is 2 and trading spans 46% 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 0.528 (identified set [0.128, 0.840]); trade-count HHI 0.003 vs. 95th percentile 0.006 of 369 random draws from all congressional trades (p = 1.000). Normalized sector entropy 0.46 [0.06, 0.88]. Top three issuers (WMB, AAPL, GLW) carry at least 39% of dollar volume.

Evidence
Statistical
Effective number of issuers
2 [1, 8] 90%
0Estimate
This member2
All computed statistics (13)
n369
issuers345
hhi_mid0.5276
hhi_bounds[0.1285, 0.8405]
n_eff1.8955
hhi_count0.0031
peer_benchmark_p950.0060
peer_benchmark_p1
sector_entropy0.4581
sector_entropy_ci[0.0621, 0.8761]
top3_share_lower0.3881
top3[WMB, AAPL, GLW]
top3_tied_to_eventstrue
T7Disclosure timeliness365 of 369 trades (98.9%) were disclosed late; median lag 116 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 0.989, Wilson [0.976, 0.995]; 90th percentile lag 116 days; longest 119 days.

Evidence
Descriptive
Late share
98.9% [97.6%, 99.5%] 90%
0Estimate
This member98.9%
All computed statistics (15)
n369
amendment_rows_excluded0
late365
late_from_trade365
excused_by_notification0
late_share0.9892
late_ci[0.9761, 0.9951]
median_lag116
p90_lag116
max_lag119
filings2
late_filings1
late_priced294
timely_priced2
late_priced_dates4
T15Short-swing round trips5 buy-and-sell round trips within six months; in the month after opening, those positions moved +2.04% 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) 0.0204 [-0.0532, 0.0939], t_KP = 0.83, over 5 priced openings. Realized market-adjusted return to the closing trade averaged +1.43% (win rate 60%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+2.04% [−5.32%, +9.39%] 90%
p-value
0.226
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+2.04%
All computed statistics (9)
round_trips5
share_in_round_trips0.0271
priced5
realized_mean0.0143
realized_win_rate0.6000
opening_car0.0204
ci[-0.0532, 0.0939]
p0.2258
openings_priced5
T16Options and leverage3 option trades (1% of all reported trades).Open question

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
3 option trades (1% of all reported trades).

Evidence
Descriptive
Option share
0.8%
Margin δ
0.5% per trade over 21 days
All computed statistics (6)
option_trades3
option_share0.0081
option_car–
option_ci[–, –]
option_p–
priced1
T1Trade size78% of 369 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 0.783, 90% Wilson [0.746, 0.816]. 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
78.3% [74.6%, 81.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member78.3%
All computed statistics (9)
n369
lowest_band_share0.7832
lowest_band_ci[0.7459, 0.8164]
share_over_50k0.0542
max_z0
size_gap0
size_gap_p1
event_linked10
event_linked_outliers0
T3Cadence and event proximity50% of trading days were batches of three or more companies; 0% of trades look routine; 2.7% of trades came within five trading days before a large company-specific move (chance alone: 7.6%).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 4/8, Wilson [0.25, 0.75]; index of dispersion 243.02 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.027 vs. circular-shift null mean 0.076, p = 0.846.

Evidence
Statistical
Batch-day share
50.0% [24.9%, 75.1%] 90%
p-value
0.846
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member50.0%
All computed statistics (14)
n369
trade_days8
batch_share_trades0.9892
batch_day_share0.5000
batch_day_ci[0.2486, 0.7514]
dispersion_index243.0205
dispersion_p0
routine_share0
proximity_share0.0271
proximity_null_mean0.0759
proximity_null_p950.1355
proximity_p0.8460
proximity_nonroutine0.0271
proximity_routine0
T8Committee overlap3% of the member's mapped trading by dollar value was in industries their committees oversee, against 12% 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 SLIA, SSHR; jurisdiction sectors Health Care, Human Resource & Employment Services. Dollar share 0.033 (identified set [0.008, 0.147], bootstrap 0.001-0.122); benchmarks S&P 500 0.123, congressional peers 0.114.

Evidence
Descriptive
Jurisdiction excess share
-8.9% [-12.2%, -0.1%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-8.9%
All computed statistics (15)
n365
in_jurisdiction_trades53
share0.0333
share_bounds[0.0075, 0.1472]
share_ci[6.15e-4, 0.1216]
benchmark_sp5000.1228
benchmark_peers0.1135
excess-0.0894
excess_ci[-0.1222, -0.0012]
committees[SLIA, SSHR]
jurisdiction_sectors[Health Care, Human Resource & Employment Services]
regression_errorError 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 11% 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 -0.0227, 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-0.0227
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.1119
members_compared134
lower95-0.0058
T13Co-trading with other members11% 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 0.106; circular-shift null mean 0.079, 95th pct 0.127, p = 0.130. Co-traded signed CAR -0.0017, p = 0.632.

Evidence
Statistical
Co-traded share
10.6%
p-value
0.632
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n369
cotraded_share0.1057
null_mean0.0794
null_p950.1274
excess_p0.1300
cotraded_share_wo_top0.0867
excess_p_wo_top0.3300
cotraded_car-0.0017
cotraded_car_ci[-0.0478, 0.0444]
cotraded_car_p0.6325
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit8.7%
T4Event timing (abnormal returns)Across 296 priced trades, purchases and sales moved 2.27% 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) = -0.0227; 90% KP interval [-0.0569, 0.0116]; t_BMP = -4.59, r-bar = 0.039, t_KP = -1.27, Patell Z = -4.80, Corrado Z = -5.52. Dollar-weighted identified set [-0.0044, 0.0437].

Evidence
Statistical
Mean signed 21-day CAR
−2.27% [−5.70%, +1.16%] 90%
p-value
0.897
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−2.27%
All computed statistics (16)
n296
theta-0.0227
ci[-0.0570, 0.0116]
p0.8969
t_kp-1.2671
rbar0.0393
se_cs0.0057
se_kp0.0208
t_cs-3.9516
t_bmp-4.5865
patell_z-4.7973
corrado_z-5.5175
dollar_weighted_bounds[-0.0044, 0.0437]
calendar_time–
calendar_alpha_ci[–, –]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.17%
Horizon 63 daysOpen question−0.87%
Excluding largest batch dateOpen question−2.21%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+4.37%
T5Direction before market-wide shocksNo market-wide shocks or documented events fell within five trading days after the member's trades.Not assessed

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
No market-wide shocks or documented events fell within five trading days after the member's trades.

Evidence
Descriptive
Margin δ
10 points above a coin flip
All computed statistics (1)
n_episodes0
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 overlap44 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
44 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)
n44
n_other252
trade_dates4
events1026
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 2026-04-01 (permutation p = 0.006).

Evidence
Descriptive
All computed statistics (5)
changepoint2026-04-01
changepoint_LR12.4899
changepoint_p0.0060
tradeday_rate_before0.6667
tradeday_rate_after0.0392
T12Anticipation of large stock moves46 trades were followed within two weeks by a large company-specific move; 25 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 0.54, Clopper-Pearson [0.41, 0.67], exact one-sided p = 0.329; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
54.3% [41.3%, 67.0%] 90%
p-value
0.329
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member54.3%
All computed statistics (6)
n46
hits25
hit_rate0.5435
ci[0.4125, 0.6701]
priced341
share_followed0.1349
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_unknown369
Disclosed trades per monthPurchasesSales
2026

Largest positions traded

CompanyTradesDisclosed value
WMB Option Type: Call Strike price: $75.00 Expires: 2026-08-214$5.3M to $25.6M
AAPL AAPL2$251K to $515K
GLW GLW1$100K to $250K
HD HD2$65K to $150K
RACE RACE2$51K to $115K
FDX FDX2$51K to $115K
HON HON2$51K to $115K
GOOG GOOG2$51K to $115K

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
369 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Aug 20, 2026WMB Option Type: Call Strike price: $75.00 Expires: 2026-08-21Purchase$15K to $50Kunknown28 d+2.8%Senate eFD search
Aug 19, 2026WMB Option Type: Call Strike price: $75.00 Expires: 2026-08-21Purchase$1,001 to $15Kunknown29 d+1.0%Senate eFD search
Jun 24, 2026WMB WMBSale$5M to $25Munknown27 d+4.7%Senate eFD search
Jun 22, 2026WMB Option Type: Call Strike price: $75.00 Expires: 2026-08-21Sale$250K to $500Kunknown29 d+0.2%Senate eFD search
Mar 31, 2026ASML ASMLPurchase$1,001 to $15Kunknown112 d+1.0%Senate eFD search
Mar 31, 2026AZN AZNCommitteePurchase$1,001 to $15Kunknown112 d+1.1%Senate eFD search
Mar 31, 2026NVS NVSCommitteePurchase$1,001 to $15Kunknown112 d−0.8%Senate eFD search
Mar 31, 2026SAN SANPurchase$1,001 to $15Kunknown112 d+3.1%Senate eFD search
Mar 30, 2026ORLY ORLYPurchase$1,001 to $15Kunknown113 d−1.5%Senate eFD search
Mar 30, 2026IX IXPurchase$1,001 to $15Kunknown113 d−1.5%Senate eFD search
Mar 30, 2026HSBC HSBCPurchase$15K to $50Kunknown113 d+3.1%Senate eFD search
Mar 30, 2026SONY SONYPurchase$15K to $50Kunknown113 d+1.7%Senate eFD search
Mar 30, 2026CHKP CHKPPurchase$1,001 to $15Kunknown113 d+3.3%Senate eFD search
Mar 30, 2026TEVA TEVACommitteePurchase$1,001 to $15Kunknown113 d−1.8%Senate eFD search
Mar 30, 2026STLA STLAPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026AZN AZNCommitteePurchase$15K to $50Kunknown113 d+1.0%Senate eFD search
Mar 30, 2026SAN SANPurchase$15K to $50Kunknown113 d+1.5%Senate eFD search
Mar 30, 2026NVS NVSCommitteePurchase$15K to $50Kunknown113 d−1.4%Senate eFD search
Mar 30, 2026UBS UBSPurchase$15K to $50Kunknown113 d–Senate eFD search
Mar 30, 2026MT MTPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026TM TMPurchase$15K to $50Kunknown113 d−4.0%Senate eFD search
Mar 30, 2026MSFT MSFTPurchase$1,001 to $15Kunknown113 d+0.3%Senate eFD search
Mar 30, 2026NVO NVOCommitteePurchase$15K to $50Kunknown113 d+1.1%Senate eFD search
Mar 30, 2026ESLT ESLTPurchase$1,001 to $15Kunknown113 d+9.0%Senate eFD search
Mar 30, 2026EA EAPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026CCEP CCEPPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026UBER UBERPurchase$1,001 to $15Kunknown113 d−1.5%Senate eFD search
Mar 30, 2026PSO PSOPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026BBVA BBVAPurchase$15K to $50Kunknown113 d–Senate eFD search
Mar 30, 2026DGX DGXCommitteePurchase$1,001 to $15Kunknown113 d−1.2%Senate eFD search
Mar 30, 2026LOGI LOGIPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026SAP SAPPurchase$15K to $50Kunknown113 d−1.9%Senate eFD search
Mar 30, 2026STM STMPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026HMC HMCPurchase$1,001 to $15Kunknown113 d−4.2%Senate eFD search
Mar 30, 2026ING INGPurchase$1,001 to $15Kunknown113 d+4.0%Senate eFD search
Mar 30, 2026CIEN CIENPurchase$1,001 to $15Kunknown113 d+10.6%Senate eFD search
Mar 30, 2026SCHW SCHWPurchase$1,001 to $15Kunknown113 d−3.3%Senate eFD search
Mar 30, 2026NBIS NBISPurchase$1,001 to $15Kunknown113 d+12.5%Senate eFD search
Mar 30, 2026VRSN VRSNPurchase$1,001 to $15Kunknown113 d+8.6%Senate eFD search
Mar 30, 2026MNDY MNDYPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026SNY SNYCommitteePurchase$15K to $50Kunknown113 d–Senate eFD search
Mar 30, 2026AAPL AAPLPurchase$1,001 to $15Kunknown113 d−2.6%Senate eFD search
Mar 30, 2026JNJ JNJCommitteePurchase$1,001 to $15Kunknown113 d−3.0%Senate eFD search
Mar 30, 2026GOOG GOOGPurchase$1,001 to $15Kunknown113 d+5.8%Senate eFD search
Mar 30, 2026LYG LYGPurchase$1,001 to $15Kunknown113 d+3.6%Senate eFD search
Mar 30, 2026ICL ICLPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026NMR NMRPurchase$1,001 to $15Kunknown113 d–Senate eFD search
Mar 30, 2026WELL WELLPurchase$1,001 to $15Kunknown113 d+1.3%Senate eFD search
Mar 30, 2026RIO RIOPurchase$15K to $50Kunknown113 d+2.8%Senate eFD search
Mar 30, 2026BTI BTIPurchase$15K to $50Kunknown113 d−0.5%Senate eFD search