Key People
What the investors you respect actually buy and actually say. All from public 13F filings, shareholder letters, and their own words — every line linked to its source. Read real moves, form your own view.
Note: 13F data lags ~45 days, covers only U.S. long positions, and omits shorts and options detail; Congress and White House officials file under the STOCK Act with the same 30–45 day lag and range-only amounts. This is a starting point for reading, not a copy-trade list.
Real Annualized Returns
as of 2026-07-27| # | Investor · public vehicle | 1Y | 3Y | 5Y |
|---|---|---|---|---|
| BM | QQ Nasdaq-100 (QQQ) | +20.8% | +24.4% | +14.1% |
| 1 |  Nancy PelosiNANC (third-party tracker ETF) | +16.8% | +22.1% | — |
| BM | SP S&P 500 (SPY) | +19.0% | +20.5% | +12.6% |
| 2 |  Cathie WoodARK flagship (ARKK) | -4.8% | +19.1% | -10.1% |
| 3 | DE David EinhornGreenlight Re (GLRE) | +29.3% | +14.1% | +13.4% |
| 4 |  Warren BuffettBerkshire (BRK-B) | +10.2% | +12.7% | +12.4% |
| 5 |  Bill AckmanPershing Square Holdings (PSH) | -4.9% | +12.3% | +9.0% |
| 6 |  Carl IcahnIcahn Enterprises (IEP) | +7.0% | -15.8% | -19.0% |
| 7 |  Donald TrumpDJT (Trump Media — the listed company he ~41% owns) | -42.7% | -16.1% | — |
Methodology: market total returns (adjusted, incl. dividends) of each investor's public vehicle, ranked by 3-year annualized. Not private fund NAV — real NAVs are mostly never disclosed; see each profile for proxy caveats (e.g. NANC, DJT)
"Buying a stock is buying a business." Concentrates only within his circle of competence, then holds nearly forever. Emphasizes integrity, equanimity, and that a stop-doing list beats a to-do list.
Buy wonderful companies at fair prices and hold forever. Only invest within your circle of competence in wide-moat, high-ROE, cash-generative businesses.
Grafts value investing onto China: extreme concentration, very long holding, only great businesses within his circle.
Extreme concentration, long holding, and willingness to push management publicly. Loves predictable cash flows and pricing power.
Macro-driven, opportunistic, concentrated. Buys mispriced assets at peak fear, bets big when right, and exits fast when wrong.
A contrarian streak married to a calculator. Puts "don't lose money" before making it, holds cash patiently, and swings only with a real margin of safety.
Bets on disruptive innovation — AI, genomics, robotics, energy storage, blockchain — on 5+ year S-curves, accepting extreme volatility for long-run upside.
Extreme contrarian deep value: hunts mispriced, panic-sold assets and obvious bubbles, and will short the overvalued.
Latticework of mental models + inversion: figure out how it could fail first. Avoiding stupidity beats chasing brilliance. A few good decisions are all you need.
"Heads I win; tails I don't lose much." Bets big on a few cheap, well-understood businesses with a thick margin of safety — embracing high uncertainty but not high risk — then waits.
Three rules: buy good companies, don't overpay, do nothing. Owns only high-return-on-capital, capital-light compounders in consumer, healthcare and tech — and trades rarely.
Minimalist, long-term, noise-free. Uses environment, checklists and habits to beat his own psychology, holding a handful of understandable compounders for the long run.
Buys only predictable, near-monopoly businesses with structural moats, holds them concentrated for years, and pressures management publicly when value is at stake.
The "three-legged stool": a great business, excellent honest management, and a high-return reinvestment runway. Find it, concentrate, and let compounding work.
Deep fundamental value — long the cheap, short the dear. Believes price eventually reflects value and will stand against consensus for years, even through long stretches when value is out of favour.
"You can't predict. You can prepare." Focuses on cycles and crowd psychology — cautious when others are greedy, aggressive when they panic — and defines risk as "more things can happen than will happen," putting risk control ahead of chasing return.
Contrarian plus hard activism: buys undervalued assets when the crowd is bearish, then pressures management, pushes break-ups or capital returns to unlock value.
Hold great businesses for the long run and let time compound. Prefers consumer leaders with pricing power and brand/culture moats; believes "roughly right beats precisely wrong," downplaying timing in favor of the business's own compounding.
Long-termism: be a friend of time, and back "determined practitioners with grand vision." Refuses to trade for trading's sake; values long-run value creation and ever-deepening moats, and will concentrate or go contrarian when warranted.
Only buys businesses he "understands, that make money, and that monopolize" — especially anything for the mouth: food, drink, medicine. Prizes addictiveness and pricing power; holds long and ignores volatility.
Builds portfolios from an "underdog" mindset: admit you may be wrong and your information lags, so buy contrarian where bad news is fully exposed and expectations are low — winning on odds rather than hit rate.
Back to common sense: cheap matters, but buy good companies with pricing power in good industries. Prefers the countable few leaders, seeks to be unbeatable before seeking to win, and weighs valuation, quality and trend together.
She doesn't talk investing philosophy, but the filings show one consistent playbook: heavy mega-cap tech stock positions levered with deep-in-the-money LEAPS calls; exercise into shares before expiry while rolling into new ones; concentrate sales and stock gifts at year-end. Margin debt across two brokerage accounts runs up to the $25M–$50M band — a leveraged, concentrated tech book.
The filings show a balance sheet, not a philosophy: untouched Trump Media shares and ~$290M of golf property on one side, ~$1.4B of 2025 crypto-linked income on the other — royalties and token sales are a picks-and-shovels business, not investing. The actual stock book (3,600+ trades filed in 2026, $220M–$750M cumulative range) is a discretionary-managed basket of mega-cap tech.