Carol Miller 🔔 get alerts
US Congress (House) · disclosed stock trades and performance vs S&P 500 (2019-2026)
25 %
of picks beat the S&P
-15.3 %
median 12m outperf.
24
buys analyzed
PFE, ABT, CSCO
top holdings
In short — Carol Miller underperforms the market: of 24 buys, 25% beat the S&P 500 over 12 months (median outperformance -15.3 %).
Carol Miller's disclosed trades
| Disclosed i ▼ | Stock i ↕ | Amount i ↕ | Perf vs S&P (12m) i ↕ |
|---|---|---|---|
| Dec 7, 23 | EOG | $15k | -21.8 % |
| Apr 17, 23 | PFE | $1k | -56.5 % |
| Dec 13, 22 | TGT | $1k | -26.2 % |
| Sep 2, 22 | ABT | $1k | -15.8 % |
| Sep 2, 22 | BLK | $15k | -8.2 % |
| Sep 2, 22 | CSCO | $1k | +16.2 % |
| Sep 2, 22 | CLX | $15k | -3.1 % |
| Sep 2, 22 | D | $1k | -56.3 % |
| Sep 2, 22 | GD | $15k | -16.1 % |
| Sep 2, 22 | JNJ | $15k | -14.8 % |
| Sep 2, 22 | TGT | $15k | -37.5 % |
| Sep 2, 22 | UPS | $15k | -29.8 % |
| Sep 14, 20 | ABT | $15k | -12.2 % |
| Sep 14, 20 | CVX | $15k | +2.2 % |
| Sep 14, 20 | CSCO | $15k | +12.7 % |
| Sep 14, 20 | D | $15k | -37.1 % |
| Sep 14, 20 | DOV | $15k | +15.6 % |
| Sep 14, 20 | EMR | $15k | +15.0 % |
| Sep 14, 20 | JNJ | $15k | -19.7 % |
| Sep 14, 20 | MCD | $15k | -22.7 % |
| Aug 12, 20 | ABBV | $15k | -5.2 % |
| Aug 12, 20 | CVS | $15k | -0.3 % |
| Aug 12, 20 | PFE | $15k | +5.0 % |
| Aug 12, 20 | KHC | $1k | -23.3 % |
⚠️ 24 buys with 12 months of hindsight. Perf vs S&P 500 measured from the disclosure date. Public data (House PTRs), transparency — not advice nor a guarantee.
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Frequently asked questions
Does Carol Miller beat the market?
Across 24 disclosed buys (2019-2026) measured from their disclosure date, 25% beat the S&P 500 over 12 months, with a median outperformance of -15.3 %. In other words, Carol Miller underperforms the market.
Which stocks does Carol Miller buy?
Most-bought tickers: PFE, ABT, CSCO, D, JNJ, WM. Full detail (dates, amounts, performance) is in the table above.
Is this data reliable?
It comes from official House Periodic Transaction Reports (PTRs), mandatory under the STOCK Act. It's transparency, not advice: past performance doesn't predict the future, and a small number of trades stays statistically weak.