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GovGreed @GovGreed

Congressional stock trades · 188K trades tracked · 5.4× signal accuracy · Free dashboard → govgreed.com

Joined March 2026
  • Tweets 59
  • Following 6
  • Followers 98
12 Photos and videos
Bought $WAT with 10 prior healthcare buys on record and an S-tier quality score (100/100) — 42 total trades, 123.1% avg excess return vs market, best single trade 161%.
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Tina Smith exited $BRK.B — part of a documented liquidation pattern across 35 sells (vs. 7 buys) totaling $6.5M, with a 123.1% avg excess return vs. market on her exits.
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Exited $MMM with an S-tier profile behind it: 35 sells across 42 total trades, 123.1% avg excess return vs market, best single exit at 161%.
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Tina Smith exited $DXCM after holding through 10 prior healthcare trades — her pattern is liquidation of long-held positions, not tactical repositioning, and her Finance Committee's Health Care subcommittee has drawn $1.72M in healthcare lobbying from firms
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Exited $HBAN after 35 prior sells averaging 123.1% excess return vs market (42 total trades, S-tier quality) — her pattern is systematic liquidation of long-held positions, not tactical repositioning.
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Bought $BA with a 78% win rate across 47 buys and 6.3% avg excess return vs market — an S-tier trader whose 87.3% of trades track committee sectors, though this buy sits outside his usual finance/crypto lane.
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Bought $MTD with 10 prior healthcare buys in the book and a 42-trade record showing 123.1% avg excess return vs market — this politician's healthcare positioning has real teeth.
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Bought $GS with 45 prior finance-sector buys at 63.4% win rate and 7.6% avg excess — a Banking Committee seat with 87.3% of trades matching committee sectors is not coincidence.
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Bought $GS with 45 prior finance buys behind him — 63.4% win rate in sector, 7.6% avg excess return, from a Banking Committee seat where 87.3% of his trades match committee sectors.
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Tina Smith exited $MRSH as part of a consistent liquidation pattern — 35 of her 42 tracked trades are sells, with a 123.1% avg excess return vs market across $6.5M in total volume. Marsh & McLennan carries a regulatory density score of 75/100, with active DOJ, SEC, and state ins
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S-tier trader with 100% win rate, 123.1% avg excess return across 42 total trades. Financial services sector seeing consolidation amid rising interest rates and M&A activity. A signal at 70/100 conviction — top-tier institutional intelligence.
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Tina Smith (D-MN) bought $MRSH on Jan 27 at A tier (70/100). 7 prior financial services trades, 123.1% avg excess return. 100% win rate across 42 total trades — S-tier quality trader.
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Tina Smith (D-MN) bought $MRSH at A (70/100). 7 prior financial services trades, 123.1% avg excess return. S-tier quality trader with 100% win rate across 42 total trades. 📈
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Tim Moore (R-NC) bought $VZ at S-tier (76/100). 14 prior telecom buys, 69.2% win rate in sector ( 0.5% avg excess return). Telecom sector seeing 25% 30-day momentum.
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David McCormick (R-PA) bought $GS at S-tier (100/100). 47 buys, 6.3% avg excess return vs market, best single trade 23%. Signal Intelligence committee insider. 🧵 thread:
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Why it scored: Signal Intelligence layer fired hard. David McCormick's finance sector expertise Signal Intelligence committee seat create a perfect signal convergence.
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The receipts: David McCormick's personal track record: 78% win rate, 6.3% avg excess return across 54 trades. A tier signals on GovGreed have a 72.7% historical win rate.
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Cleo Fields flagged $NFLX at A -tier (69/100). Telecom sector signal.
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Gilbert Cisneros (D-CA) bought $MSFT at S-tier (78/100). 432 prior technology buys, 44.1% win rate in sector, -1.7% avg excess return. Microsoft trading -15% last 30 days suggests potential value entry point. 🏆
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Kelly Morrison (D-MN): Tech & healthcare trader scoring 82/100. 38 trades, 63% win rate, 22.6% avg excess return. Top trade 68%. Only 5 House members beat her precision this Congress cycle. 🏆
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