The trade of the cycle
Nancy Pelosi's NVDA buy is up +364%
In late 2023, Nancy Pelosi bought NVDA at $48.72. If she's held (and there's no filings saying she's sold), that trade likely netted her over $10 million.
How Congress traded AI
Analyzing every trade on a bucket of AI-adjacent equities made by Members of Congress since ChatGPT went public in 2022.
+$50.15Mnet P&L, est.
39%hit rate
116members
2.6ktrades
Top of the leaderboard
Who's making money on the AI buildout.
Net P&L per member, marked to today's close. Buys held to mark; sells scored vs. today's price. Pelosi and Cleo Fields lead by miles. Both rotated aggressively into NVDA and AVGO during 2023 and 2024 and rode the chip rally.
The flip side
Almost nobody actually lost money.
A clean FIFO read on the data (realized P&L on closed positions, plus mark-to-today on what's still held) turns up only a handful of members in the red, none of them by more than a few thousand dollars. The AI rally bailed out almost every ill-timed sell in the dataset.
Best single trades
The five PTR filings that produced the most paper P&L.
Pelosi sweeps the top five with three NVDA buys and two AVGO buys, all timed inside a 14-month window before the chip rally. No other member's single trade lands in this group.
Highest hit rate (10+ trades)
Members who got more decisions right than wrong.
Share of trades that are sitting on a paper gain: buys whose value is above their entry, or sells that booked a realized profit. Excludes anyone with fewer than 10 trades to filter out one-shot luck.
Which AI names paid off
NVDA and AVGO buys carry the book.
Aggregate P&L by ticker, realized plus unrealized. The headline number is dominated by NVDA ($28.96M) and AVGO ($7.94M). Outside the chip names, every other AI ticker contributes single-digit millions or less. Congress's AI-buildout P&L is essentially an NVDA + AVGO trade.