Corruption Risk · 4-Vector Breakdown
Corruption isn't just trade-based. Here's the four ways political pressure can flow, scored independently from the public record.
Vector 1 · Personal Enrichment trade-based
The politician is a high-frequency trader with a 16% overall win rate, classified as a 'POOR_PERFORMER' (`get_politician_intelligence.profile.trading_styles`). Despite the poor aggregate performance, there is a stark sector anomaly: a 100% win rate in financial services (33 trades) and healthcare (10 trades), which diverges by 84 and 84 points from the overall rate, respectively (`get_politician_intelligence.sector_expertise`). This suggests a possible informational edge in these specific sectors, though the total trade count in these winning sectors (43) is below the 50-trade threshold for a pre-computed anomaly. The portfolio is highly concentrated, with a 100% top-5 ticker concentration and only one distinct ticker tracked by smart money (`get_sponsor_profile.profile.trade_pattern`).
Trades 5y213
Volume$4.0M
Late filing—
Trader typeActive self-dealer
Vector 2 · Donor Funding money in
Funding is heavily reliant on PACs, which provide 63% of total tracked contributions ($2.02M PAC vs. $1.20M individual). The top PAC industries are labor unions (20.1%), transportation (11.7%), and agriculture (6.0%) (`get_donor_industry_breakdown`). The `get_sponsor_profile` indicates an 'industry_capture_signal' of 'moderate,' with a 100% lobbying-to-committee alignment score, showing targeted influence efforts matching his committee assignments.
PAC raised$8.8M
Individual—
Vector 3 · Committee Pressure lobbying around
Defense and aerospace industries, via committee jurisdiction (Intelligence) and $4.46M in targeted lobbying spend, represent the primary capture mechanism (`get_lobbying_around_pol`).
defense/aerospace
$4.46M in lobbying targets his committee sectors (`get_lobbying_around_pol.total_lobbying_spend_on_pols_sectors_usd`)
↳ committee jurisdiction (HLIG) overlapping with traded tickers (NOC) and lobbying clients
Top influence channels
PAC Donations
corporate_other industry PACs
$8.8M
Lobbying
AMERICAN LEGION
$4.5M
12 MONTHS PAST · 3 MONTHS FUTURE
Activity timeline · 357 votes (12mo) · 200 on passage · 95% with party on passage votes · 1 against
Votes/wk (top band)
with party
against party
present / unknown
Vote markers (passage only)
yea (with party)
nay (with party)
against party
Trades
buy
sell
Bills sponsored
★ introduced
Predictions / pipeline
model fire
committee bill
🔮 GOVGREED FORECAST · 30-DAY WINDOW
Predicted next trades · 25 active
Recent Activity
📋 COMMITTEE BILL PIPELINE
Bills moving through their committees · 11 active
Each row links a bill in their committee jurisdiction to the public companies its passage would affect — the upstream signal for a future trade.
CREATE AI Act of 2025
United States Commission on International Religious Freedom Reauthorization Act of 2026
Block the Use of Transatlantic Technology in Iranian Made Drones Act
Deport Alien Gang Members Act
Veterans 2nd Amendment Protection Act
Student Veteran Benefit Restoration Act of 2025
Board of Veterans’ Appeals Attorney Retention and Backlog Reduction Act
Dental Care for Veterans Act
Recognizing Community Organizations for Veteran Engagement and Recovery Act
Combating Organized Retail Crime Act of 2025
Voting Pattern
Over the last 75 recorded votes, the member voted 'yea' 40% of the time (30 votes) and 'nay' 44% of the time (33 votes), with 100% attendance (`get_voting_record`). Recent high-profile votes include supporting HR.1689 and opposing HR.261 on passage.
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