QuantCapitol. Congressional Trading Intelligence

Updated 2026-11-05 08:06 UTC · Public disclosure record

80AVG SCORE

Brenda Lulenar Lawrence

House Democrat MI

Brenda Lulenar Lawrence has disclosed 22 stock transactions — 16 buys, 6 sells, each ranked by how much scrutiny it deserves and linked to its original House filing. A transparency record.

22
Total trades
16
Buy
6
Sell
4
Avg. disclosure delay (days)

Track record Congressional Trading Performance

Two figures per horizon, both hypothetical and not investment advice: Member's own — what the trade returned if you'd bought when Lawrence did (not public yet, so not replicable); and If you'd followed — buying only after the disclosure went public, which is what a follower could actually do. The gap between them is the cost of the disclosure lag.

1 month
no price data
0 of 16 priced
3 months
no price data
0 of 16 priced
6 months
no price data
0 of 16 priced
1 year
no price data
0 of 16 priced
3 years
no price data
0 of 16 priced

We don't have price history covering Lawrence's trades — they may predate our price data or be on tickers we don't track — so hypothetical returns can't be computed here. The disclosures themselves are all listed below.

Where they trade Favorite Sectors

Distribution of this politician's trades across sectors (of trades with a known sector — bonds and funds are excluded).

Technology
4 (36%)
Transportation
2 (18%)
Food & Agriculture
2 (18%)
Business Services
1 (9%)
Retail & Wholesale
1 (9%)
Finance
1 (9%)

Traded the same stocks, same time Co-Investors in Congress

Other members who traded the same tickers within 30 days of Lawrence's trades in them. A high overlap can reflect shared information, shared advisors, or simply popular stocks — it is not evidence of coordination.

PoliticianOverlapping tradesShared tickers
Brian Mast 2 NIO
Pete Sessions 2 AMZN, NVDA
Josh Gottheimer 2 AMD, GIS
Alan Lowenthal 2 FB
Gilbert Cisneros 1 NVDA
Thomas Suozzi 1 NVDA
Ed Perlmutter 1 AMZN
Justin Amash 1 AMZN
Lamar Smith 1 AMZN
Gary Palmer 1 AMZN
Bill Flores 1 GIS
Lloyd Doggett 1 IBM

Corporate insiders · SEC Form 4 Overlap with Insiders

On the trades where corporate insiders were also active, how often did Brenda Lulenar Lawrence move the same way as the company's own officers and directors (within 60 days)? Co-occurrence only — context from public Form 4 filings, never proof of coordination, and tested honestly for whether it means anything.

0%
of checkable trades converged
avg 20% across all members
0
converged (of 16 checkable)
0
diverged

Brenda Lulenar Lawrence's convergence rate of 0% is lower than the 20% average across all members. "Checkable" = trades on tickers where insiders were also trading, so convergence could even be measured.

Descriptive only — insider convergence is context from public SEC Form 4 filings, never proof of coordination or wrongdoing, and not investment advice.

22 trades Recent Transactions

Marker key: ⚑ potential conflict (a committee Lawrence sits on oversees that sector) · ◆ corporate-insider overlap from SEC Form 4 (convergence/divergence — context, not a signal) · % of NW trade size vs estimated net worth, 🔥 marking high/extreme conviction · OCR recovered from a scanned filing (verify against source) · ×N filings the same trade disclosed more than once (shown once). None is an allegation of wrongdoing.

TickerCompanyTypeDateFiledLagPrice move
in that
window
AmountScoreSource
UBER Uber Technologies, Inc. BUY 2019-08-12 2019-08-12 0 days — $1K–$15K 82.6 ↗ filing
NVDA Nvidia Corp. BUY 2019-05-14 2019-05-14 0 days — $1K–$15K 60.1 ↗ filing
UAA Under Armour, Inc. BUY 2019-05-14 2019-08-14 92 days — $1K–$15K 82.6 ↗ filing
F Ford Motor Co. BUY 2019-05-10 2019-05-10 0 days — $1K–$15K 82.6 ↗ filing
NIO Nio Inc. BUY 2019-03-14 2019-03-14 0 days — $1K–$15K 88.6 ↗ filing
CGC Canopy Growth Corp. BUY 2018-10-23 2018-10-23 0 days — $1K–$15K 82.6 ↗ filing
AMZN Amazon Com Inc. BUY 2018-10-11 2018-10-11 0 days — $15K–$50K 98.4 ↗ filing
AMD Advanced Micro Devices Inc. BUY 2018-09-10 2018-09-10 0 days — $1K–$15K 88.6 ↗ filing
SURG Surgepays, Inc. BUY 2018-07-12 2018-07-12 0 days — $1K–$15K 82.6 ↗ filing
GIS General Mills Inc. SELL 2018-05-14 2018-05-14 0 days — $1K–$15K 48.4 ↗ filing
SNAP Snap Inc. SELL 2018-05-04 2018-05-04 0 days — $1K–$15K 48.4 ↗ filing
GIS General Mills Inc. BUY 2018-02-27 2018-02-27 0 days — $1K–$15K 82.6 ↗ filing
IBM International Business Machines Corp. BUY 2018-02-27 2018-02-27 0 days — $1K–$15K 93.7 ↗ filing
SNAP Snap Inc. BUY 2018-02-20 2018-02-20 0 days — $1K–$15K 82.6 ↗ filing
TWTR Twitter BUY 2017-05-24 2017-05-24 0 days — $1K–$15K 82.6 ↗ filing
NVDA Nvidia Corp. BUY 2017-03-02 2017-03-02 0 days — $1K–$15K 93.7 ↗ filing
GM General Motors Co. SELL 2016-12-27 2016-12-27 0 days — $1K–$15K 82.6 ↗ filing
GS Goldman Sachs Group Inc. SELL 2016-12-27 2016-12-27 0 days — $1K–$15K 82.6 ↗ filing
FB Meta Platforms Class A BUY 2016-11-17 2016-11-17 0 days — $1K–$15K 60.1 ↗ filing
JCP J.C. Penney Holding SELL 2016-11-17 2016-11-17 0 days — $1K–$15K 82.6 ↗ filing
MRO Marathon Oil SELL 2016-11-17 2016-11-17 0 days — $1K–$15K 82.6 ↗ filing
FB Meta Platforms Class A BUY 2016-10-31 2016-10-31 0 days — $1K–$15K 88.6 ↗ filing

FAQ Common questions

How many stock trades has Brenda Lulenar Lawrence disclosed?

22 disclosed stock transactions — 16 buys and 6 sells — all from official House financial disclosures.

Is this insider trading?

No. QuantCapitol surfaces the timing and context of publicly disclosed trades for transparency. A trade near related legislation is a coincidence we flag — never an accusation of wrongdoing.

Where does this data come from?

Official US House Clerk and Senate electronic financial disclosures. Every trade links back to its original filing so you can verify it yourself.

About this data. Sourced from official House Clerk and Senate eFD financial disclosures (Senate via a maintained community mirror — see project documentation). Transaction amounts are reported as ranges, not exact figures. Interest scores, consensus labels, and backtested performance are proprietary analytical calculations based on public data and are not investment advice. Backtested performance is a hypothetical simulation, not actual portfolio performance.