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U.S. Senate

Sen. Tommy Tuberville

Republican · Senator from AL

Senate Special Committee on AgingAgriculture, Nutrition, and ForestryArmed ServicesHealth, Education, Labor, and PensionsVeterans' Affairs
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on direction before market-wide shocks, disclosure timeliness.

Trades disclosed
1,212
Jan 4, 2021 to Jun 9, 2026
Companies traded
287
Disclosed value
$18.2M–$54.8M
Sum of reported ranges
Filed after 45 days
2
Median filing lag 32 days

Scorecard

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

T5Direction before market-wide shocksBefore 7 large market moves, the member's net trading pointed the right way 5 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 0.71, Clopper-Pearson 90% [0.34, 0.95]; exact one-sided p = 0.227; magnitude-weighted sign-flip p = 0.109. 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
71.4% [34.1%, 94.7%] 90%
p-value
0.227
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member71.4%
All computed statistics (7)
n_episodes7
hits5
hit_rate0.7143
ci[0.3413, 0.9466]
p_exact0.2266
p_magnitude0.1089
episodes[[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]]
T7Disclosure timeliness133 of 1212 trades (11.0%) were disclosed late; median lag 32 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 0.110, Wilson [0.096, 0.125]; 90th percentile lag 87 days; longest 403 days. Late-minus-timely signed CAR 0.0112, p = 0.300.

Evidence
Statistical
Late share
11.0% [9.6%, 12.5%] 90%
p-value
0.300
Holm-adjusted p
1.000
BH q-value
0.553
0Estimate
This member11.0%
All computed statistics (18)
n1212
amendment_rows_excluded0
late133
late_from_trade133
excused_by_notification0
late_share0.1097
late_ci[0.0958, 0.1254]
median_lag32
p90_lag87
max_lag403
filings43
late_filings2
late_priced98
timely_priced881
late_priced_dates31
late_minus_timely_car0.0112
late_minus_timely_ci[-0.0154, 0.0645]
late_minus_timely_p0.3000
T1Trade size65% of 1212 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 0.653, 90% Wilson [0.631, 0.676]. 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
65.3% [63.1%, 67.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member65.3%
All computed statistics (9)
n1212
lowest_band_share0.6535
lowest_band_ci[0.6307, 0.6756]
share_over_50k0.1287
max_z0
size_gap0
size_gap_p1
event_linked60
event_linked_outliers0
T2Breadth and concentration287 different companies; the effective number of equally sized positions is 23 and trading spans 78% 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 0.043 (identified set [0.017, 0.100]); trade-count HHI 0.017 vs. 95th percentile 0.004 of 1212 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.78 [0.74, 0.82]. Top three issuers (PYPL, CLF, QCOM) carry at least 11% of dollar volume.

Evidence
Statistical
Effective number of issuers
23 [10, 60] 90%
0Estimate
This member23
All computed statistics (13)
n1212
issuers287
hhi_mid0.0429
hhi_bounds[0.0166, 0.0998]
n_eff23.3031
hhi_count0.0166
peer_benchmark_p950.0037
peer_benchmark_p0.0020
sector_entropy0.7839
sector_entropy_ci[0.7428, 0.8214]
top3_share_lower0.1139
top3[PYPL, CLF, QCOM]
top3_tied_to_eventstrue
T3Cadence and event proximity26% of trading days were batches of three or more companies; 3% of trades look routine; 5.0% of trades came within five trading days before a large company-specific move (chance alone: 5.1%).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 71/273, Wilson [0.22, 0.31]; index of dispersion 15.03 (chi-square p = 0); routine share 0.03 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.050 vs. circular-shift null mean 0.051, p = 0.532.

Evidence
Statistical
Batch-day share
26.0% [21.9%, 30.6%] 90%
p-value
0.532
Holm-adjusted p
1.000
BH q-value
0.928
0Estimate
This member26.0%
All computed statistics (14)
n1212
trade_days273
batch_share_trades0.6889
batch_day_share0.2601
batch_day_ci[0.2189, 0.3059]
dispersion_index15.0313
dispersion_p0
routine_share0.0272
proximity_share0.0495
proximity_null_mean0.0506
proximity_null_p950.0686
proximity_p0.5320
proximity_nonroutine0.0492
proximity_routine0.0606
T8Committee overlap5% of the member's mapped trading by dollar value was in industries their committees oversee, against 20% 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 SPAG, SSAF, SSAS, SSHR, SSVA; jurisdiction sectors Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Health Care Facilities, Health Care Services, Human Resource & Employment Services, Managed Health Care, Packaged Foods & Meats, Timber REITs. Dollar share 0.049 (identified set [0.013, 0.174], bootstrap 0.032-0.064); benchmarks S&P 500 0.198, congressional peers 0.162.

Evidence
Descriptive
Jurisdiction excess share
-14.9% [-16.6%, -13.4%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-14.9%
All computed statistics (15)
n1036
in_jurisdiction_trades131
share0.0490
share_bounds[0.0132, 0.1742]
share_ci[0.0319, 0.0643]
benchmark_sp5000.1980
benchmark_peers0.1621
excess-0.1490
excess_ci[-0.1661, -0.1337]
committees[SPAG, SSAF, SSAS, SSHR, SSVA]
jurisdiction_sectors[Aerospace & Defense, Agricultural & Farm Machinery, Agricultural Products & Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Health Care Facilities, Health Care Services, Human Resource & Employment Services, Managed Health Care, Packaged Foods & Meats, Timber REITs]
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 71% 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 0.0049, 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)
raw0.0049
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.7090
members_compared134
lower95-0.0058
T12Anticipation of large stock moves147 trades were followed within two weeks by a large company-specific move; 70 were on the profitable side.Does not fit

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 0.48, Clopper-Pearson [0.41, 0.55], exact one-sided p = 0.745; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
47.6% [40.6%, 54.7%] 90%
p-value
0.745
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member47.6%
All computed statistics (6)
n147
hits70
hit_rate0.4762
ci[0.4059, 0.5472]
priced988
share_followed0.1488
T13Co-trading with other members9% of trades had another member trading the same stock the same way within a week (chance alone: 11%).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 0.091; circular-shift null mean 0.110, 95th pct 0.135, p = 0.900. Co-traded signed CAR 0.0063, p = 0.343.

Evidence
Statistical
Co-traded share
9.1%
p-value
0.343
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n1212
cotraded_share0.0908
null_mean0.1098
null_p950.1355
excess_p0.9000
cotraded_share_wo_top0.0883
excess_p_wo_top0.7900
cotraded_car0.0063
cotraded_car_ci[-0.0193, 0.0319]
cotraded_car_p0.3432
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit8.8%
T4Event timing (abnormal returns)Across 979 priced trades, purchases and sales moved 0.49% in 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) = 0.0049; 90% KP interval [-0.0240, 0.0338]; t_BMP = 1.44, r-bar = 0.026, t_KP = 0.28, Patell Z = 1.47, Corrado Z = 1.69. Dollar-weighted identified set [-0.0316, 0.0506]. Calendar-time alpha 2.24%/yr (NW t = 0.24, 1004 days).

Evidence
Statistical
Mean signed 21-day CAR
+0.49% [−2.40%, +3.38%] 90%
p-value
0.405
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+0.49%
All computed statistics (16)
n979
theta0.0049
ci[-0.0240, 0.0338]
p0.3909
t_kp0.2772
rbar0.0259
se_cs0.0034
se_kp0.0175
t_cs1.4444
t_bmp1.4417
patell_z1.4680
corrado_z1.6926
dollar_weighted_bounds[-0.0316, 0.0506]
calendar_time[object Object]
calendar_alpha_ci[-5.17e-4, 6.94e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.11%
Horizon 63 daysOpen question+0.85%
Excluding largest batch dateOpen question+0.51%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+5.06%
Calendar-time alpha (annualized)+2.24%
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 overlap101 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -0.06% in the trade's favour, -0.61% relative to the member's other trades.Inconclusive (too few trades)

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 = -0.0006; pre-event minus other trades = -0.0061 [-0.0486, 0.0250], p = 0.576; mean pre-trade drift psi = -0.0118.

Evidence
Statistical
Pre-event minus other trades, signed CAR
−0.61% [−4.86%, +2.50%] 90%
p-value
0.576
Holm-adjusted p
1.000
BH q-value
0.848
Margin δ
0.5% per trade
Robust to variants
Yes
0δEstimate
This member−0.61%
All computed statistics (13)
n101
n_other878
theta9-5.92e-4
diff-0.0061
ci[-0.0486, 0.0250]
p0.5760
pre_trade_drift-0.0118
pre_trade_drift_significantfalse
events2209
events_by_kind[object Object]
affected_share_of_priced_trades0.1022
trade_dates41
placebo_readingopen_question
Robustness variantReadingEstimate
Window 15 daysOpen question−1.34%
Window 60 daysOpen question−0.57%
Excluding largest batch dateOpen question−0.98%
Placebo: month after events−0.23%
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 2024-05-14 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2024-05-14
changepoint_LR197.1536
changepoint_p0.0020
tradeday_rate_before0.3014
tradeday_rate_after0.0148
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_unknown1212
T15Short-swing round trips280 buy-and-sell round trips within six months; in the month after opening, those positions moved +0.45% in the trade's favour relative to the market.Inconclusive (too few trades)

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) 0.0045 [-0.0230, 0.0320], t_KP = 0.35, over 234 priced openings. Realized market-adjusted return to the closing trade averaged +4.47% (win rate 59%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+0.45% [−2.30%, +3.20%] 90%
p-value
0.365
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+0.45%
All computed statistics (9)
round_trips280
share_in_round_trips0.4620
priced217
realized_mean0.0447
realized_win_rate0.5899
opening_car0.0045
ci[-0.0230, 0.0320]
p0.3646
openings_priced234
T16Options and leverage402 option trades (33% of all reported trades); the underlying moved +0.41% in the trade's favour over a month.Inconclusive (too few trades)

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
402 option trades (33% of all reported trades); the underlying moved +0.41% in the trade's favour over a month.

Evidence
Statistical
Option-trade signed CAR
+0.41% [−2.71%, +3.52%] 90%
p-value
0.453
Holm-adjusted p
1.000
BH q-value
0.715
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+0.41%
All computed statistics (6)
option_trades402
option_share0.3317
option_car0.0041
option_ci[-0.0271, 0.0352]
option_p0.4528
priced323

Documented episodes

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

Market move on 2022-01-28
–
13 trade(s) in the prior five trading days
+2.48%

S&P 500 (SPY) daily move (Jan 28, 2022)

Wrong way.

Market move on 2022-03-09
–
1 trade(s) in the prior five trading days
+2.68%

S&P 500 (SPY) daily move (Mar 9, 2022)

Right way.

Market move on 2022-04-29
–
3 trade(s) in the prior five trading days
-3.7%

S&P 500 (SPY) daily move (Apr 29, 2022)

Right way.

Market move on 2022-05-05
–
3 trade(s) in the prior five trading days
-3.55%

S&P 500 (SPY) daily move (May 5, 2022)

Right way.

Market move on 2022-06-13
–
4 trade(s) in the prior five trading days
-3.8%

S&P 500 (SPY) daily move (Jun 13, 2022)

Wrong way.

Market move on 2022-09-13
–
6 trade(s) in the prior five trading days
-4.35%

S&P 500 (SPY) daily move (Sep 13, 2022)

Right way.

Market move on 2022-11-10
–
9 trade(s) in the prior five trading days
+5.5%

S&P 500 (SPY) daily move (Nov 10, 2022)

Right way.

Disclosed trades per monthPurchasesSales
202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
PYPL PYPL48$2.4M to $5.5M
CLF CLF98$1.5M to $4.6M
QCOM QCOM27$1.4M to $3.3M
X Option Type: Call Strike price: $29.00 Expires: 10/15/202152$1.2M to $3.3M
MSFT Option Type: Put Strike price: $185.00 Expires: 04/16/202126$1.1M to $2.7M
INTC Option Type: Put Strike price: $50.00 Expires: 07/16/202130$940K to $2.5M
ECOM Option Type: Put Strike price: $25.00 Expires: 09/17/202130$860K to $2.2M
F Option Type: Put Strike price: $11.00 Expires: 09/17/202116$482K to $1.4M

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
1,212 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jun 9, 2026WAB WABSale$1,001 to $15Kunknown37 d−0.3%Senate eFD search
Jun 8, 2026PG PGSale$15K to $50Kunknown38 d−3.7%Senate eFD search
Jun 8, 2026CSX CSXSale$15K to $50Kunknown38 d+1.3%Senate eFD search
Jun 8, 2026PFE PFECommitteeSale$15K to $50Kunknown38 d−0.3%Senate eFD search
Jun 8, 2026LMT LMTCommitteeSale$15K to $50Kunknown38 d−1.7%Senate eFD search
Jun 8, 2026NEE NEESale$15K to $50Kunknown38 d−1.5%Senate eFD search
Jun 8, 2026TSCO TSCOSale$1,001 to $15Kunknown38 d−2.2%Senate eFD search
Jun 8, 2026AWK AWKSale$15K to $50Kunknown38 d−4.3%Senate eFD search
Jun 8, 2026DUK DUKSale$15K to $50Kunknown38 d−2.7%Senate eFD search
Jun 8, 2026MA MASale$15K to $50Kunknown38 d−0.2%Senate eFD search
Dec 17, 2025GOOGL GOOGLSale$1,001 to $15Kunknown29 d−2.0%Senate eFD search
Dec 17, 2025AAPL AAPLSale$50K to $100Kunknown29 d+3.1%Senate eFD search
Dec 17, 2025XLU XLUPurchase$15K to $50Kunknown29 d−0.7%Senate eFD search
Dec 17, 2025XLV XLVPurchase$15K to $50Kunknown29 d+0.2%Senate eFD search
Dec 17, 2025XLP XLPPurchase$15K to $50Kunknown29 d−1.8%Senate eFD search
Oct 7, 2025PEP PEPSale$15K to $50Kunknown39 d−8.0%Senate eFD search
Oct 7, 2025OC OCSale$15K to $50Kunknown39 d+2.1%Senate eFD search
Oct 7, 2025MSFT MSFTSale$15K to $50Kunknown39 d+1.3%Senate eFD search
Oct 7, 2025ORCL ORCLSale$15K to $50Kunknown39 d−6.4%Senate eFD search
Oct 7, 2025GOOGL GOOGLSale$15K to $50Kunknown39 d−0.6%Senate eFD search
Oct 7, 2025AAPL AAPLSale$15K to $50Kunknown39 d+1.9%Senate eFD search
Apr 15, 2025GOOGL GOOGLSale$15K to $50Kunknown30 d+0.0%Senate eFD search
Apr 15, 2025GS GSSale$15K to $50Kunknown30 d−4.2%Senate eFD search
Apr 15, 2025MA MASale$15K to $50Kunknown30 d−2.4%Senate eFD search
Apr 15, 2025MSFT MSFTSale$15K to $50Kunknown30 d+2.0%Senate eFD search
Apr 15, 2025DUK DUKSale$15K to $50Kunknown30 d−0.2%Senate eFD search
Apr 15, 2025PYPL PYPLSale$15K to $50Kunknown30 d−1.2%Senate eFD search
Apr 15, 2025LLY LLYCommitteeSale$15K to $50Kunknown30 d−10.0%Senate eFD search
Apr 15, 2025AMGN AMGNCommitteeSale$15K to $50Kunknown30 d+6.1%Senate eFD search
Apr 15, 2025BMY BMYCommitteeSale$1,001 to $15Kunknown30 d+3.5%Senate eFD search
Apr 15, 2025STZ STZSale$15K to $50Kunknown30 d−2.9%Senate eFD search
Apr 15, 2025ADM ADMCommitteeSale$15K to $50Kunknown30 d−5.0%Senate eFD search
Apr 15, 2025AAPL AAPLSale$15K to $50Kunknown30 d−1.2%Senate eFD search
Apr 15, 2025USIG USIGPurchase$50K to $100Kunknown30 d−0.1%Senate eFD search
Apr 15, 2025CSX CSXSale$15K to $50Kunknown30 d+0.5%Senate eFD search
Apr 15, 2025JPM JPMSale$15K to $50Kunknown30 d−3.1%Senate eFD search
Jan 10, 2025TSCO TSCOSale$15K to $50Kunknown35 d+4.0%Senate eFD search
Jan 10, 2025AAPL AAPLSale$15K to $50Kunknown35 d+5.7%Senate eFD search
Jan 10, 2025DEO DEOSale$15K to $50Kunknown35 d+0.3%Senate eFD search
Jan 10, 2025CARR CARRSale$1,001 to $15Kunknown35 d−0.8%Senate eFD search
Jan 10, 2025TXN TXNSale$15K to $50Kunknown35 d+2.6%Senate eFD search
Jan 10, 2025MSFT MSFTSale$15K to $50Kunknown35 d+0.7%Senate eFD search
Oct 29, 2024MSFT MSFTSale$15K to $50Kunknown17 d+3.5%Senate eFD search
Oct 29, 2024ADBE ADBESale$15K to $50Kunknown17 d−2.1%Senate eFD search
Oct 29, 2024JNJ JNJCommitteeSale$15K to $50Kunknown17 d+1.4%Senate eFD search
Oct 29, 2024AAPL AAPLSale$15K to $50Kunknown17 d+3.5%Senate eFD search
Oct 29, 2024OC OCSale$15K to $50Kunknown17 d−1.9%Senate eFD search
Oct 29, 2024HON HONSale$15K to $50Kunknown17 d−1.9%Senate eFD search
Oct 29, 2024CTVA CTVASale$1,001 to $15Kunknown17 d−2.5%Senate eFD search
Oct 29, 2024KMB KMBSale$15K to $50Kunknown17 d+0.0%Senate eFD search