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U.S. Senate

Sen. John R. Curtis

Republican · Senator from UT

Commerce, Science, and TransportationEnvironment and Public WorksForeign RelationsSmall Business and Entrepreneurship
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; screening signal on short-swing round trips (weaker evidence than a fit).

Trades disclosed
543
Apr 16, 2019 to Dec 4, 2023
Companies traded
139
Disclosed value
$907.5K–$9M
Sum of reported ranges
Filed after 45 days
4
Median filing lag 14 days

Scorecard

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

T7Disclosure timeliness23 of 531 trades (4.3%) were disclosed late; median lag 14 days. Another 1 were over 45 days from the trade but filed within 30 days of the stated notification date.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 0.043, Wilson [0.031, 0.060]; 90th percentile lag 21 days; longest 411 days.

Evidence
Descriptive
Late share
4.3% [3.1%, 6.0%] 90%
Robust to variants
Yes
0Estimate
This member4.3%
All computed statistics (15)
n531
amendment_rows_excluded12
late23
late_from_trade24
excused_by_notification1
late_share0.0433
late_ci[0.0310, 0.0603]
median_lag14
p90_lag21
max_lag411
filings48
late_filings2
late_priced20
timely_priced451
late_priced_dates8
Robustness variantReadingEstimate
Late from the trade date alone, ignoring notification datesOpen question4.5%
T10Behavior after scrutinyAfter scrutiny on 2023-08-18, trading ran at 5.31 times its earlier rate.Open question

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
After scrutiny on 2023-08-18, trading ran at 5.31 times its earlier rate. Change point 2019-04-30 (p = 0.052).

Evidence
Statistical
Rate ratio after/before
5.31 [4.46, 6.31] 90%
0Estimate
This member5.31
All computed statistics (8)
changepoint2019-04-30
changepoint_LR9.3438
changepoint_p0.0520
tradeday_rate_before0.3000
tradeday_rate_after0.0242
scrutiny_date2023-08-18
rate_ratio5.3143
rate_ratio_ci[4.4620, 6.3091]
T15Short-swing round trips36 buy-and-sell round trips within six months; in the month after opening, those positions moved +3.40% in the trade's favour relative to the market.Screening signal

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) 0.0340 [0.0075, 0.0606], t_KP = 1.74, over 31 priced openings. Realized market-adjusted return to the closing trade averaged -0.17% (win rate 52%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+3.40% [+0.75%, +6.06%] 90%
p-value
0.046
Holm-adjusted p
0.370
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+3.40%
All computed statistics (9)
round_trips36
share_in_round_trips0.1455
priced31
realized_mean-0.0017
realized_win_rate0.5161
opening_car0.0340
ci[0.0075, 0.0606]
p0.0462
openings_priced31
T1Trade size96% of 495 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 0.962, 90% Wilson [0.945, 0.973]. 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
96.2% [94.5%, 97.3%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member96.2%
All computed statistics (9)
n495
lowest_band_share0.9616
lowest_band_ci[0.9447, 0.9735]
share_over_50k0.0040
max_z0
size_gap0
size_gap_p1
event_linked22
event_linked_outliers0
T2Breadth and concentration91 different companies; the effective number of equally sized positions is 50 and trading spans 82% 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 0.020 (identified set [0.011, 0.130]); trade-count HHI 0.013 vs. 95th percentile 0.005 of 495 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.82 [0.78, 0.85]. Top three issuers (AMZN, BRK.B, MSFT) carry at least 3% of dollar volume.

Evidence
Statistical
Effective number of issuers
50 [8, 88] 90%
0Estimate
This member50
All computed statistics (13)
n495
issuers91
hhi_mid0.0199
hhi_bounds[0.0114, 0.1295]
n_eff50.2256
hhi_count0.0134
peer_benchmark_p950.0053
peer_benchmark_p0.0020
sector_entropy0.8216
sector_entropy_ci[0.7823, 0.8455]
top3_share_lower0.0279
top3[AMZN, BRK.B, MSFT]
top3_tied_to_eventstrue
T3Cadence and event proximity69% of trading days were batches of three or more companies; 2% of trades look routine; 4.4% of trades came within five trading days before a large company-specific move (chance alone: 6.5%).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 22/32, Wilson [0.54, 0.80]; index of dispersion 50.71 (chi-square p = 0); routine share 0.02 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.044 vs. circular-shift null mean 0.065, p = 0.772.

Evidence
Statistical
Batch-day share
68.8% [54.3%, 80.3%] 90%
p-value
0.772
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member68.8%
All computed statistics (14)
n495
trade_days32
batch_share_trades0.9677
batch_day_share0.6875
batch_day_ci[0.5426, 0.8031]
dispersion_index50.7055
dispersion_p0
routine_share0.0162
proximity_share0.0444
proximity_null_mean0.0648
proximity_null_p950.1158
proximity_p0.7720
proximity_nonroutine0.0431
proximity_routine0.1250
T5Direction before market-wide shocksBefore 10 large market moves, the member's net trading pointed the right way 3 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 0.30, Clopper-Pearson 90% [0.09, 0.61]; exact one-sided p = 0.945; magnitude-weighted sign-flip p = 0.874. 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
30.0% [8.7%, 60.7%] 90%
p-value
0.945
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member30.0%
All computed statistics (7)
n_episodes10
hits3
hit_rate0.3000
ci[0.0873, 0.6066]
p_exact0.9453
p_magnitude0.8735
episodes[[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]]
T8Committee overlap18% 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 SSCM, SSEV, SSFR, SSSB; jurisdiction sectors Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Commodity Chemicals, Communication Services, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Regional Banks, Semiconductors, Water Utilities. Dollar share 0.179 (identified set [0.021, 0.682], bootstrap 0.147-0.213); benchmarks S&P 500 0.198, congressional peers 0.221.

Evidence
Descriptive
Jurisdiction excess share
-4.3% [-7.4%, -0.8%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-4.3%
All computed statistics (15)
n469
in_jurisdiction_trades82
share0.1788
share_bounds[0.0213, 0.6818]
share_ci[0.1468, 0.2129]
benchmark_sp5000.1980
benchmark_peers0.2213
excess-0.0425
excess_ci[-0.0745, -0.0084]
committees[SSCM, SSEV, SSFR, SSSB]
jurisdiction_sectors[Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Commodity Chemicals, Communication Services, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Regional Banks, Semiconductors, Water Utilities]
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 43% 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 -0.0042, 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-0.0042
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.4254
members_compared134
lower95-0.0058
T12Anticipation of large stock moves90 trades were followed within two weeks by a large company-specific move; 38 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 0.42, Clopper-Pearson [0.33, 0.51], exact one-sided p = 0.943; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
42.2% [33.4%, 51.4%] 90%
p-value
0.943
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member42.2%
All computed statistics (6)
n90
hits38
hit_rate0.4222
ci[0.3340, 0.5144]
priced471
share_followed0.1911
T13Co-trading with other members16% of trades had another member trading the same stock the same way within a week (chance alone: 18%).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 0.160; circular-shift null mean 0.182, 95th pct 0.241, p = 0.740. Co-traded signed CAR -0.0012, p = 0.426.

Evidence
Statistical
Co-traded share
16.0%
p-value
0.426
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n495
cotraded_share0.1596
null_mean0.1818
null_p950.2412
excess_p0.7400
cotraded_share_wo_top0.1434
excess_p_wo_top0.5700
cotraded_car-0.0012
cotraded_car_ci[-0.0321, 0.0297]
cotraded_car_p0.4260
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit14.3%
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 471 priced trades, purchases and sales moved 0.42% 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) = -0.0042; 90% KP interval [-0.0290, 0.0206]; t_BMP = -1.48, r-bar = 0.036, t_KP = -0.34, Patell Z = -1.61, Corrado Z = -1.66. Dollar-weighted identified set [-0.0634, 0.0622]. Calendar-time alpha -14.33%/yr (NW t = -1.09, 550 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.42% [−2.90%, +2.06%] 90%
p-value
0.862
Holm-adjusted p
1.000
BH q-value
0.983
Margin δ
0.5% per trade over 21 days
Robust to variants
Yes
0δEstimate
This member−0.42%
All computed statistics (16)
n471
theta-0.0042
ci[-0.0290, 0.0206]
p0.6338
t_kp-0.3422
rbar0.0365
se_cs0.0035
se_kp0.0151
t_cs-1.2162
t_bmp-1.4847
patell_z-1.6130
corrado_z-1.6566
dollar_weighted_bounds[-0.0634, 0.0622]
calendar_time[object Object]
calendar_alpha_ci[-0.0014, 2.92e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.07%
Horizon 63 daysOpen question−0.69%
Excluding largest batch dateOpen question−0.45%
Self-owned accounts onlyOpen question−0.39%
Dollar-weighted (bounds)Open question+6.22%
Calendar-time alpha (annualized)−14.33%
T6Control and independenceTrading arrangement: not documented; trading during absence ran at 0.00 times the normal rate.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
Trading arrangement: not documented; trading during absence ran at 0.00 times the normal rate.

Evidence
Statistical
Absence rate ratio
0.00 [0.00, 1.83] 90%
0Estimate
This member0.00
All computed statistics (6)
rate_ratio0
rate_ratio_ci[0, 1.8302]
rate_ratio_batchdays0
rate_ratio_batchdays_ci[0, 29.5888]
absence_days4
trades_in_absence0
T9Policy-topic overlap71 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -0.87% in the trade's favour, -0.53% 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 = -0.0087; pre-event minus other trades = -0.0053 [-0.0497, 0.0219], p = 0.596; mean pre-trade drift psi = 0.0104.

Evidence
Statistical
Pre-event minus other trades, signed CAR
−0.53% [−4.97%, +2.19%] 90%
p-value
0.596
Holm-adjusted p
1.000
BH q-value
0.848
Margin δ
0.5% per trade
Robust to variants
Yes
0δEstimate
This member−0.53%
All computed statistics (13)
n71
n_other400
theta9-0.0087
diff-0.0053
ci[-0.0497, 0.0219]
p0.5960
pre_trade_drift0.0104
pre_trade_drift_significanttrue
events4124
events_by_kind[object Object]
affected_share_of_priced_trades0.1507
trade_dates14
placebo_reading–
Robustness variantReadingEstimate
Window 15 daysOpen question−0.58%
Window 60 daysOpen question−0.70%
Excluding largest batch dateOpen question−0.69%
Placebo: month after events–
T14Family-account trades0% of trades were in a spouse's or dependent's name; returns not computed for them.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
0% of trades were in a spouse's or dependent's name; returns not computed for them.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (3)
family_trades1
family_share0.0035
owner_unknown208

Documented episodes

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

Market move on 2019-08-05
–
2 trade(s) in the prior five trading days
-3.01%

S&P 500 (SPY) daily move (Aug 5, 2019)

Wrong way.

Market move on 2020-03-05
–
4 trade(s) in the prior five trading days
-3.32%

S&P 500 (SPY) daily move (Mar 5, 2020)

Wrong way.

Market move on 2020-03-09
–
4 trade(s) in the prior five trading days
-7.81%

S&P 500 (SPY) daily move (Mar 9, 2020)

Wrong way.

Market move on 2020-03-10
–
4 trade(s) in the prior five trading days
+5.17%

S&P 500 (SPY) daily move (Mar 10, 2020)

Right way.

Market move on 2020-03-11
–
4 trade(s) in the prior five trading days
-4.87%

S&P 500 (SPY) daily move (Mar 11, 2020)

Wrong way.

Market move on 2020-03-12
–
1 trade(s) in the prior five trading days
-9.57%

S&P 500 (SPY) daily move (Mar 12, 2020)

Wrong way.

Market move on 2020-03-13
–
1 trade(s) in the prior five trading days
+8.55%

S&P 500 (SPY) daily move (Mar 13, 2020)

Right way.

Market move on 2020-03-16
–
1 trade(s) in the prior five trading days
-10.94%

S&P 500 (SPY) daily move (Mar 16, 2020)

Wrong way.

Market move on 2020-03-17
–
1 trade(s) in the prior five trading days
+5.4%

S&P 500 (SPY) daily move (Mar 17, 2020)

Right way.

Market move on 2020-03-18
–
1 trade(s) in the prior five trading days
-5.06%

S&P 500 (SPY) daily move (Mar 18, 2020)

Wrong way.

Disclosed trades per monthPurchasesSales
20192020202120222023

Largest positions traded

CompanyTradesDisclosed value
AMZN Amazon.com, Inc.13$83K to $370K
MSFT Microsoft Corporation13$55K to $300K
BRK.B Berkshire Hathaway Inc. New8$71K to $240K
AAPL Apple Inc.9$23K to $170K
UNH UnitedHealth Group Incorporated Common Stock11$11K to $165K
GOOGL Alphabet Inc. - Class A6$34K to $160K
AMD Advanced Micro Devices, Inc.10$10K to $150K
HLT Hilton Worldwide Holdings Inc.10$10K to $150K

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
543 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Dec 4, 2023ABT Abbott LaboratoriesSale$1,001 to $15Kjoint11 d−0.5%Filing
Dec 4, 2023ADBE Adobe Inc.Sale$1,001 to $15Kjoint11 d−0.6%Filing
Dec 4, 2023AMD Advanced Micro Devices, Inc.CommitteeSale$1,001 to $15Kjoint11 d−10.2%Filing
Dec 4, 2023GOOG Alphabet Inc. - Class C Capital StockCommitteeSale$15K to $50Kjoint11 d−1.0%Filing
Dec 4, 2023AMZN Amazon.com, Inc.Sale$15K to $50Kjoint11 d+1.6%Filing
Dec 4, 2023AXP American Express CompanySale$1,001 to $15Kjoint11 d+3.9%Filing
Dec 4, 2023AAPL Apple Inc.Sale$1,001 to $15Kjoint11 d−0.3%Filing
Dec 4, 2023AMAT Applied Materials, Inc.Sale$1,001 to $15Kjoint11 d−2.4%Filing
Dec 4, 2023AZO AutoZone, Inc.Sale$1,001 to $15Kjoint11 d+1.7%Filing
Dec 4, 2023BRK.B Berkshire Hathaway Inc. NewSale$1,001 to $15Kjoint11 d+0.8%Filing
Dec 4, 2023BLK BlackRock, Inc.Sale$1,001 to $15Kjoint11 d+0.8%Filing
Dec 4, 2023BSX Boston Scientific CorporationSale$1,001 to $15Kjoint11 d−0.1%Filing
Dec 4, 2023CAT Caterpillar, Inc.Sale$1,001 to $15Kjoint11 d−1.1%Filing
Dec 4, 2023CVX Chevron CorporationSale$1,001 to $15Kjoint11 d+0.9%Filing
Dec 4, 2023CMG Chipotle Mexican Grill, Inc.Sale$1,001 to $15Kjoint11 d−2.1%Filing
Dec 4, 2023KO Coca-Cola CompanySale$1,001 to $15Kjoint11 d−0.7%Filing
Dec 4, 2023CMCSA Comcast Corporation - Class ACommitteeSale$1,001 to $15Kjoint11 d+2.4%Filing
Dec 4, 2023COP ConocoPhillipsSale$1,001 to $15Kjoint11 d+3.0%Filing
Dec 4, 2023STZ Constellation Brands, Inc.Sale$1,001 to $15Kjoint11 d+2.5%Filing
Dec 4, 2023COST Costco Wholesale CorporationSale$1,001 to $15Kjoint11 d−2.9%Filing
Dec 4, 2023CSX CSX CorporationCommitteeSale$1,001 to $15Kjoint11 d+2.3%Filing
Dec 4, 2023DHR Danaher CorporationSale$1,001 to $15Kjoint11 d+1.0%Filing
Dec 4, 2023DE Deere & CompanySale$1,001 to $15Kjoint11 d+2.7%Filing
Dec 4, 2023EW Edwards Lifesciences CorporationSale$1,001 to $15Kjoint11 d−0.8%Filing
Dec 4, 2023ELV Elevance Health, Inc.Sale$1,001 to $15Kjoint11 d+1.4%Filing
Dec 4, 2023LLY Eli Lilly and CompanySale$1,001 to $15Kjoint11 d+1.7%Filing
Dec 4, 2023EMR Emerson Electric CompanySale$1,001 to $15Kjoint11 d+0.0%Filing
Dec 4, 2023FI Fiserv, Inc.Sale$1,001 to $15Kjoint11 d–Filing
Dec 4, 2023GS Goldman Sachs Group, Inc.Sale$1,001 to $15Kjoint11 d−0.1%Filing
Dec 4, 2023HLT Hilton Worldwide Holdings Inc.Sale$1,001 to $15Kjoint11 d−2.1%Filing
Dec 4, 2023HD Home Depot, Inc.Sale$1,001 to $15Kjoint11 d−1.4%Filing
Dec 4, 2023HON Honeywell International Inc.Sale$1,001 to $15Kjoint11 d−0.5%Filing
Dec 4, 2023ICE Intercontinental Exchange Inc.Sale$1,001 to $15Kjoint11 d−0.1%Filing
Dec 4, 2023JPM JP Morgan Chase & Co.Sale$1,001 to $15Kjoint11 d+0.4%Filing
Dec 4, 2023KLAC KLA CorporationSale$1,001 to $15Kjoint11 d−1.5%Filing
Dec 4, 2023LRCX Lam Research CorporationSale$1,001 to $15Kjoint11 d−1.2%Filing
Dec 4, 2023MA Mastercard IncorporatedSale$1,001 to $15Kjoint11 d−0.7%Filing
Dec 4, 2023META Meta Platforms, Inc. - Class ACommitteeSale$1,001 to $15Kjoint11 d+2.4%Filing
Dec 4, 2023MSFT Microsoft CorporationSale$15K to $50Kjoint11 d+1.4%Filing
Dec 4, 2023NKE Nike, Inc.Sale$1,001 to $15Kjoint11 d−2.0%Filing
Dec 4, 2023NVDA NVIDIA CorporationCommitteeSale$1,001 to $15Kjoint11 d+1.9%Filing
Dec 4, 2023PANW Palo Alto Networks, Inc.Sale$1,001 to $15Kjoint11 d−2.5%Filing
Dec 4, 2023PEP Pepsico, Inc.Sale$1,001 to $15Kjoint11 d+0.9%Filing
Dec 4, 2023PG Procter & Gamble CompanySale$1,001 to $15Kjoint11 d+4.5%Filing
Dec 4, 2023RTX RTX CorporationCommitteeSale$1,001 to $15Kjoint11 d+1.4%Filing
Dec 4, 2023SPGI S&P Global Inc.Sale$1,001 to $15Kjoint11 d+1.3%Filing
Dec 4, 2023CRM Salesforce, Inc.Sale$1,001 to $15Kjoint11 d+1.5%Filing
Dec 4, 2023SHW Sherwin-Williams CompanySale$1,001 to $15Kjoint11 d−2.5%Filing
Dec 4, 2023SBUX Starbucks CorporationSale$1,001 to $15Kjoint11 d+0.1%Filing
Dec 4, 2023TXN Texas Instruments IncorporatedCommitteeSale$1,001 to $15Kjoint11 d−0.7%Filing