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U.S. Senate

Sen. Ashley Moody

Republican · Senator from FL

Joint Economic CommitteeSenate Special Committee on AgingArmed ServicesHomeland Security and Governmental AffairsHealth, Education, Labor, and PensionsJudiciary
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on trade size, breadth and concentration, event timing (abnormal returns).

Trades disclosed
23
Jan 21, 2025 to Apr 4, 2025
Companies traded
16
Disclosed value
$1M–$2.5M
Sum of reported ranges
Filed after 45 days
0
Median filing lag 30 days

Scorecard

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

T1Trade size17% of 23 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were not 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 0.174, 90% Wilson [0.081, 0.336]. Event-linked size gap Delta_z = -0.05 (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
17.4% [8.1%, 33.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member17.4%
All computed statistics (9)
n23
lowest_band_share0.1739
lowest_band_ci[0.0806, 0.3359]
share_over_50k0.5217
max_z0.6745
size_gap-0.0468
size_gap_p1
event_linked3
event_linked_outliers0
T2Breadth and concentration16 different companies; the effective number of equally sized positions is 8 and trading spans 39% 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 0.124 (identified set [0.090, 0.203]); trade-count HHI 0.085 vs. 95th percentile 0.055 of 23 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.39 [0.28, 0.54]. Top three issuers (AMAT, SMCI, HWM) carry at least 27% of dollar volume.

Evidence
Statistical
Effective number of issuers
8 [5, 11] 90%
0Estimate
This member8
All computed statistics (13)
n23
issuers16
hhi_mid0.1244
hhi_bounds[0.0897, 0.2034]
n_eff8.0378
hhi_count0.0851
peer_benchmark_p950.0548
peer_benchmark_p0.0020
sector_entropy0.3899
sector_entropy_ci[0.2798, 0.5422]
top3_share_lower0.2742
top3[AMAT, SMCI, HWM]
top3_tied_to_eventsfalse
T4Event timing (abnormal returns)Across 22 priced trades, purchases and sales moved 2.60% in the trade's direction relative to the market over the next month on average.Open question

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) = 0.0260; 90% KP interval [-0.0472, 0.0992]; t_BMP = 0.62, r-bar = 0.077, t_KP = 0.37, Patell Z = 0.61, Corrado Z = 1.36. Dollar-weighted identified set [-0.0122, 0.0593]. Calendar-time alpha 27.25%/yr (NW t = 0.58, 73 days).

Evidence
Statistical
Mean signed 21-day CAR
+2.60% [−4.72%, +9.92%] 90%
p-value
0.359
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+2.60%
All computed statistics (16)
n22
theta0.0260
ci[-0.0472, 0.0992]
p0.3586
t_kp0.3670
rbar0.0771
se_cs0.0253
se_kp0.0425
t_cs1.0287
t_bmp0.6181
patell_z0.6069
corrado_z1.3555
dollar_weighted_bounds[-0.0122, 0.0593]
calendar_time[object Object]
calendar_alpha_ci[-0.0021, 0.0043]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.15%
Horizon 63 daysOpen question−0.19%
Excluding largest batch dateOpen question+0.27%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+5.93%
Calendar-time alpha (annualized)+27.25%
T3Cadence and event proximity36% of trading days were batches of three or more companies; 0% of trades look routine; 13.0% of trades came within five trading days before a large company-specific move (chance alone: 5.5%).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 4/11, Wilson [0.18, 0.61]; index of dispersion 2.98 (chi-square p = 2.41e-12); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.130 vs. circular-shift null mean 0.055, p = 0.160.

Evidence
Statistical
Batch-day share
36.4% [17.5%, 60.6%] 90%
p-value
0.160
Holm-adjusted p
0.800
BH q-value
0.572
0Estimate
This member36.4%
All computed statistics (14)
n23
trade_days11
batch_share_trades0.6957
batch_day_share0.3636
batch_day_ci[0.1751, 0.6060]
dispersion_index2.9770
dispersion_p0
routine_share0
proximity_share0.1304
proximity_null_mean0.0547
proximity_null_p950.1304
proximity_p0.1600
proximity_nonroutine0.1304
proximity_routine0
T5Direction before market-wide shocksBefore 3 large market moves, the member's net trading pointed the right way 1 times.Does not fit

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 0.33, Clopper-Pearson 90% [0.02, 0.86]; exact one-sided p = 0.875; magnitude-weighted sign-flip p = 0.493. 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
33.3% [1.7%, 86.5%] 90%
p-value
0.875
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member33.3%
All computed statistics (7)
n_episodes3
hits1
hit_rate0.3333
ci[0.0170, 0.8647]
p_exact0.8750
p_magnitude0.4932
episodes[[object Object], [object Object], [object Object]]
T7Disclosure timeliness0 of 23 trades (0.0%) were disclosed late; median lag 30 days.Does not fit

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 0.000, Wilson [0.000, 0.105]; 90th percentile lag 39 days; longest 39 days.

Evidence
Descriptive
Late share
0.0% [0.0%, 10.5%] 90%
0Estimate
This member0.0%
All computed statistics (15)
n23
amendment_rows_excluded0
late0
late_from_trade0
excused_by_notification0
late_share0
late_ci[0, 0.1053]
median_lag30
p90_lag39
max_lag39
filings4
late_filings0
late_priced0
timely_priced22
late_priced_dates0
T8Committee overlap22% of the member's mapped trading by dollar value was in industries their committees oversee, against 22% 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 JSEC, SPAG, SSAS, SSGA, SSHR, SSJU; jurisdiction sectors Aerospace & Defense, Broadline Retail, Health Care, Human Resource & Employment Services, IT Consulting & Other Services, Interactive Media & Services, Managed Health Care, Pharmaceuticals, Systems Software. Dollar share 0.216 (identified set [0.102, 0.406], bootstrap 0.112-0.548); benchmarks S&P 500 0.182, congressional peers 0.223.

Evidence
Descriptive
Jurisdiction excess share
-0.7% [-11.1%, 32.5%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-0.7%
All computed statistics (15)
n21
in_jurisdiction_trades6
share0.2161
share_bounds[0.1018, 0.4058]
share_ci[0.1118, 0.5483]
benchmark_sp5000.1822
benchmark_peers0.2229
excess-0.0068
excess_ci[-0.1111, 0.3254]
committees[JSEC, SPAG, SSAS, SSGA, SSHR, SSJU]
jurisdiction_sectors[Aerospace & Defense, Broadline Retail, Health Care, Human Resource & Employment Services, IT Consulting & Other Services, Interactive Media & Services, Managed Health Care, Pharmaceuticals, Systems Software]
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 93% 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 0.0260, 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)
raw0.0260
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.9254
members_compared134
lower95-0.0058
T13Co-trading with other members9% of trades had another member trading the same stock the same way within a week (chance alone: 21%).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 0.087; circular-shift null mean 0.211, 95th pct 0.348, p = 0.980.

Evidence
Statistical
Co-traded share
8.7%
Robust to variants
Yes
All computed statistics (7)
n23
cotraded_share0.0870
null_mean0.2108
null_p950.3478
excess_p0.9800
cotraded_share_wo_top0.0870
excess_p_wo_top0.9200
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit8.7%
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
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 overlap4 priced trades fell in affected industries in the 30 days before the member's committee events and 18 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
4 priced trades fell in affected industries in the 30 days before the member's committee events and 18 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n4
n_other18
events6409
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 2025-01-23 (permutation p = 0.470).

Evidence
Descriptive
All computed statistics (5)
changepoint2025-01-23
changepoint_LR3.4316
changepoint_p0.4700
tradeday_rate_before1
tradeday_rate_after0.1731
T12Anticipation of large stock moves4 trades were followed within two weeks by a large company-specific move; 2 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 0.50, Clopper-Pearson [0.10, 0.90], exact one-sided p = 0.688; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
50.0% [9.8%, 90.2%] 90%
p-value
0.688
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member50.0%
All computed statistics (6)
n4
hits2
hit_rate0.5000
ci[0.0976, 0.9024]
priced22
share_followed0.1818
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_unknown23
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_trips0.1739

Documented episodes

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

Market move on 2025-03-10
–
1 trade(s) in the prior five trading days
-2.66%

S&P 500 (SPY) daily move (Mar 10, 2025)

Wrong way.

Market move on 2025-04-09
–
4 trade(s) in the prior five trading days
+10.5%

S&P 500 (SPY) daily move (Apr 9, 2025)

Right way.

Market move on 2025-04-10
–
4 trade(s) in the prior five trading days
-4.38%

S&P 500 (SPY) daily move (Apr 10, 2025)

Wrong way.

Disclosed trades per monthPurchasesSales
2025

Largest positions traded

CompanyTradesDisclosed value
AMAT AMAT2$200K to $500K
SMCI SMCI4$180K to $450K
NVDA NVDA2$115K to $300K
HWM HWM3$115K to $250K
AMD AMD1$100K to $250K
LLY LLY1$100K to $250K
OKTA OKTA1$50K to $100K
MU MU1$50K to $100K

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
23 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Apr 4, 2025ARCC ARCCPurchase$15K to $50Kunknown39 d−2.5%Senate eFD search
Apr 4, 2025JPM JPMPurchase$15K to $50Kunknown39 d+6.4%Senate eFD search
Apr 4, 2025HWM HWMCommitteePurchase$15K to $50Kunknown39 d+1.7%Senate eFD search
Apr 4, 2025ET ETPurchase$15K to $50Kunknown39 d−3.3%Senate eFD search
Mar 25, 2025SMCI SMCIPurchase$100K to $250Kunknown26 d−5.5%Senate eFD search
Mar 24, 2025SMCI SMCISale$15K to $50Kunknown27 d+10.2%Senate eFD search
Mar 21, 2025NVDA NVDAPurchase$15K to $50Kunknown30 d−2.8%Senate eFD search
Mar 20, 2025NVDA NVDAPurchase$100K to $250Kunknown31 d−7.6%Senate eFD search
Mar 6, 2025LLY LLYCommitteePurchase$100K to $250Kunknown16 d−9.4%Senate eFD search
Feb 24, 2025ASML ASMLPurchase$50K to $100Kunknown26 d+1.4%Senate eFD search
Feb 24, 2025HWM HWMCommitteeSale$50K to $100Kunknown26 d−3.5%Senate eFD search
Feb 24, 2025GENI GENIPurchase$1,001 to $15Kunknown26 d−0.4%Senate eFD search
Feb 24, 2025SMCI SMCISale$50K to $100Kunknown26 d+23.7%Senate eFD search
Feb 24, 2025AMD AMDPurchase$100K to $250Kunknown26 d−3.2%Senate eFD search
Feb 24, 2025SMCI SMCISale$15K to $50Kunknown26 d+23.7%Senate eFD search
Feb 20, 2025ADCT ADCTCommitteeSale$1,001 to $15Kunknown30 d−1.7%Senate eFD search
Feb 20, 2025DM DMSale$1,001 to $15Kunknown30 d–Senate eFD search
Feb 20, 2025KPTI KPTICommitteeSale$1,001 to $15Kunknown30 d+4.2%Senate eFD search
Jan 27, 2025AMAT AMATPurchase$100K to $250Kunknown25 d+4.2%Senate eFD search
Jan 22, 2025HWM HWMCommitteePurchase$50K to $100Kunknown30 d−0.3%Senate eFD search
Jan 22, 2025AMAT AMATPurchase$100K to $250Kunknown30 d−7.8%Senate eFD search
Jan 22, 2025MU MUPurchase$50K to $100Kunknown30 d−17.1%Senate eFD search
Jan 21, 2025OKTA OKTASale$50K to $100Kunknown31 d−6.9%Senate eFD search