Copy-trading leaderboards, ranked out of sample
Most leaderboards rank people on the period they were picked from, which rewards luck. These rank on later trades: choose on the record before a cutoff date, rank on the record after it. Every average shows how many trades stand behind it.
Key Facts
- Members and insiders are chosen on trades entered before 2023-04-25 (25 April 2023) for Congress and 2026-05-29 (29 May 2026) for insiders, then ranked on trades entered after that date.
- A Congress member needs at least 8 scored buys before the cutoff and 5 after it to appear. An insider needs 3 and 3.
- Top of the Congress board: Pete Sessions, averaging 3.9% against the S&P 500 over 90 days across 7 buys after the cutoff.
- A high rank on a short record is more likely luck than skill, so the table shows the count and the standard error next to every average.
Congress
cutoff 2023-04-25| # | Name | Avg vs S&P after | Trades after | Beat S&P after | Avg vs S&P before | Trades before | Avg vs S&P overall | Std error |
|---|---|---|---|---|---|---|---|---|
| 1 | Pete Sessions | +3.9% | 7 | 86% | -2.0% | 37 | -1.1% | 2.1% |
| 2 | Shelley Moore Capito | +3.9% | 10 | 60% | +0.8% | 20 | +1.8% | 2.2% |
| 3 | Marjorie Taylor Greene | +3.7% | 19 | 58% | -3.9% | 86 | -2.5% | 2.3% |
| 4 | Mark Green | +2.8% | 5 | 40% | -0.3% | 68 | -0.1% | 3.0% |
| 5 | Michael Burgess | +2.2% | 14 | 79% | -9.6% | 17 | -4.3% | 4.0% |
| 6 | Jared Moskowitz | +1.6% | 46 | 41% | -8.0% | 13 | -0.5% | 3.2% |
| 7 | Rob Wittman | +1.6% | 9 | 67% | -0.8% | 59 | -0.5% | 1.4% |
| 8 | Scott Franklin | +1.1% | 6 | 50% | +0.5% | 26 | +0.6% | 0.2% |
| 9 | Gary Peters | +0.8% | 7 | 43% | +0.3% | 11 | +0.5% | 2.0% |
| 10 | Kathy Manning | +0.6% | 17 | 41% | +1.1% | 218 | +1.0% | 2.0% |
| 11 | Bill Keating | +0.4% | 14 | 57% | -0.8% | 68 | -0.6% | 1.1% |
| 12 | Neal Dunn | +0.2% | 7 | 57% | +0.5% | 8 | +0.4% | 0.1% |
| 13 | Lloyd Doggett | +0.2% | 25 | 44% | -0.7% | 52 | -0.4% | 1.0% |
| 14 | Tommy Tuberville | +0.2% | 93 | 42% | -0.2% | 181 | -0.1% | 1.0% |
| 15 | Ro Khanna | -0.4% | 1,917 | 47% | -0.8% | 3,523 | -0.6% | 0.5% |
| 16 | Josh Gottheimer | -0.5% | 149 | 44% | +0.2% | 329 | 0.0% | 1.0% |
| 17 | Gil Cisneros | -0.6% | 431 | 38% | -2.7% | 27 | -0.7% | 1.6% |
| 18 | Michael McCaul | -0.7% | 264 | 48% | +1.2% | 446 | +0.5% | 0.9% |
| 19 | Kevin Hern | -1.3% | 38 | 47% | +1.1% | 228 | +0.8% | 1.1% |
| 20 | Dan Sullivan | -1.8% | 5 | 40% | +16.8% | 13 | +11.6% | 8.5% |
| 21 | Lois Frankel | -2.3% | 31 | 45% | +0.8% | 115 | +0.1% | 1.2% |
| 22 | John Boozman | -2.4% | 100 | 29% | -2.2% | 59 | -2.4% | 0.8% |
| 23 | Daniel S. Goldman | -2.8% | 61 | 33% | -6.2% | 239 | -5.5% | 1.0% |
| 24 | Chuck Fleischmann | -3.2% | 37 | 30% | -4.4% | 63 | -3.9% | 1.3% |
| 25 | John Curtis | -3.2% | 14 | 36% | +3.6% | 50 | +2.1% | 1.3% |
Avg vs S&P is the average 90 day excess return over the S&P 500 (SPY), one observation per member, stock and entry day. After is on or after the cutoff; before is earlier.
Company insiders
cutoff 2026-05-29| # | Name | Avg vs S&P after | Trades after | Beat S&P after | Avg vs S&P before | Trades before | Avg vs S&P overall | Std error |
|---|---|---|---|---|---|---|---|---|
| 1 | Opaleye Management Inc. | +38.9% | 4 | 100% | -0.7% | 6 | +15.1% | 15.8% |
| 2 | Frangou Angeliki | +22.8% | 7 | 100% | +0.5% | 14 | +7.9% | 7.3% |
| 3 | OLIVER ERIC L | +22.4% | 3 | 67% | -20.8% | 9 | -10.0% | 11.8% |
| 4 | DONEGAL MUTUAL INSURANCE CO | +11.8% | 5 | 100% | +7.9% | 3 | +10.4% | 1.7% |
| 5 | RA CAPITAL MANAGEMENT, L.P. | +10.0% | 5 | 60% | +27.7% | 5 | +18.9% | 18.1% |
| 6 | Junhua Wu | +3.4% | 6 | 67% | -1.8% | 4 | +1.3% | 2.2% |
| 7 | Wenbin Qiu | +2.6% | 10 | 70% | -11.8% | 5 | -2.2% | 4.9% |
| 8 | Aqua Capital, Ltd. | +1.9% | 4 | 50% | +5.6% | 5 | +4.0% | 4.8% |
| 9 | HORIZON KINETICS ASSET MANAGEM | -2.3% | 39 | 49% | -20.0% | 39 | -11.1% | 6.8% |
| 10 | Saba Capital Management, L.P. | -2.6% | 21 | 24% | -2.0% | 36 | -2.2% | 1.3% |
| 11 | O'Dowd William IV | -7.4% | 4 | 0% | -32.7% | 9 | -24.9% | 8.0% |
| 12 | Huang Jack Jiajia | -36.0% | 4 | 0% | -42.1% | 4 | -39.1% | 2.4% |
| 13 | HRT FINANCIAL LP | -56.5% | 28 | 7% | -81.2% | 11 | -63.5% | 7.6% |
Related pages
Frequently asked questions
Why rank out of sample?
If you rank people on the same trades you used to pick them, the winners are partly just the lucky ones and the list flatters them. Ranking on later trades shows whether the past record carried forward.
Does a top spot mean I should copy this person?
No. It means their later buys beat the index on average over a small number of trades. Small samples swing widely. Read the trade counts and the standard error, and remember this is information, not advice.
How are ties and thin records handled?
People below the minimum trade counts before and after the cutoff are left off. The rest are sorted by their average excess return after the cutoff.
Sources: Congressional trades: STOCK Act disclosures, collected from CapitolTrades. Insider trades: SEC Form 4 filings, collected from Finviz. Prices: Yahoo Finance daily adjusted closes. Data as of 2026-09-29 (29 September 2026). About these sources.
Not investment advice. Past disclosed trades do not predict future returns. Disclosures are published late, so the trades shown are ones you could only have copied after the fact. Talk to a licensed adviser before you invest.