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's trading shows a stark anomaly in the finance sector, with a 75.0% win rate over 58 trades, outperforming the overall 32% win rate by 43 points. This contrasts with the technology sector, which has a 46.7% win rate over 173 trades, a 14.7-point premium. The portfolio is characterized by extreme concentration in mega-cap technology stocks, with 23.3% of trades involving options, enabling leveraged directional bets. Trading style is high-frequency and large-scale, with an average position size of $1.3 million and a largest position of $17.5 million, fitting the BIG_SWINGER and HIGH_FREQUENCY patterns.
Trades 5y333
Volume$379.2M
Late filing—
Trader typeActive self-dealer
Vector 2 · Donor Funding money in
Total PAC direct contributions over 5 years are $21.29M, with corporate_other, labor, and healthcare as top industries. Individual contributions total $15.28M, with the largest donor industries being self_employed_or_unemployed (7,654 donors), other (3,279), and unspecified (1,137). Lobbying spend targeting the politician's committees is null, as `get_lobbying_around_pol.matching_filings_count` is 0.
PAC raised$21.3M
Individual$15.3M
Donors11,631
Vector 3 · Committee Pressure lobbying around
Technology industry capture via concentrated trading in NVDA, AAPL, GOOGL, AMZN totaling $586M volume, with options enabling leveraged bets, despite tech PAC contributions being only 3.1% of total PAC direct dollars.
technology
$586M trading volume with 173 trades in technology sector, 46.7% win rate
↳ concentrated trading in stocks subject to legislative oversight
finance
43-point outperformance vs overall 32% win rate
↳ anomalous win rate of 75% over 58 trades
Top influence channels
PAC contributions
corporate_other
$21.3M
Individual contributions
self_employed_or_unemployed
$15.3M
12 MONTHS PAST · 3 MONTHS FUTURE
Activity timeline · 357 votes (12mo) · 200 on passage · 90% with party on passage votes · 2 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
Voting Pattern
Recent voting record shows 29 yea votes and 35 nay votes out of 75 total votes, with 100% attendance. High-profile votes include yea on HR.2493 and HR.1689, and nay on HR.261, indicating party-line alignment with occasional dissent.
Loading intelligence layer…