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 an active trader with a concentrated, technology-heavy portfolio. With 39 trades in the 5-year aggregate dataset and a 100% overall win rate (`get_politician_intelligence.profile.win_rate_overall`), the activity is significant in frequency but modest in scale, with a largest single trade of $15,000 (`get_politician_intelligence.profile.largest_position`). The primary sector is technology, accounting for 14 of 42 trades (`get_sponsor_profile.profile.sector_specializations`), though no sector anomaly exists as the win rate does not diverge from the overall rate on a sufficient trade count (`PRE-COMPUTED SECTOR ANOMALIES`). The trading style is characterized by a high average disclosure gap of 296 days but a low late filing rate of 4.8% (`get_sponsor_profile.profile.trade_pattern`, `get_sponsor_profile.profile.late_filing_rate_pct`).
Trades 5y46
Volume$368K
Late filing—
Trader typeActive self-dealer
Vector 2 · Donor Funding money in
PAC funding totals $2.63 million, led by corporate_other (38.4%), labor (17.5%), and leadership PACs (16.4%) (`get_donor_industry_breakdown.top_industries`). Top PAC industries are ideological_progressive, labor_union, and single_issue_environment (`get_sponsor_profile.profile.top_pac_industries`). The donor-to-committee alignment score is low at 32, while the lobbying-to-committee alignment score is a perfect 100, indicating a structural risk (`get_sponsor_profile.profile.donor_to_committee_alignment_score`, `get_sponsor_profile.profile.lobbying_to_committee_alignment_score`).
PAC raised$2.6M
Individual—
Donors14,402
Vector 3 · Committee Pressure lobbying around
Technology sector capture via Commerce Committee jurisdiction, evidenced by $989,000 in lobbying spend targeting his committees and his personal tech holdings (`get_lobbying_around_pol.total_lobbying_spend_on_pols_sectors_usd`, `get_sponsor_profile.profile.sector_specializations`).
technology/telecom
Sits on SSCM34 (Telecommunications and Media) while trading T, GOOG; 6 of 6 lobbying client tickers match his trades (`get_lobbying_around_pol.politician_committees`, `get_sponsor_profile.profile.predicted_corruption_reason`).
↳ jurisdictional overlap
Top influence channels
PAC funding
corporate_other
$2.6M
lobbying target
AMERICAN LEGION
$989K
12 MONTHS PAST · 3 MONTHS FUTURE
Activity timeline · 0 votes (12mo)
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 · 31 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.
Recognizing Community Organizations for Veteran Engagement and Recovery Act
AI PLAN Act
Combating Organized Retail Crime Act of 2025
Justice for ALS Veterans Act of 2025
Protect America’s Innovation and Economic Security from CCP Act of 2025
The U.S.-European Nuclear Energy Cooperation Act of 2025
United States Commission on International Religious Freedom Reauthorization Act of 2025
Rural Obstetrics Readiness Act
National Biotechnology Initiative Act of 2025
Ensuring Veterans’ Final Resting Place Act of 2025
Loading intelligence layer…