Where Hyperliquid's Top Traders Are Taking Perp Risk

The Hyperliquid public leaderboard is one of the few places where perp performance is visible in the open: realized PnL, return on equity, and the capital behind it. For the seven days ending 2 July 2026, the top of the board tells two very different stories about how risk is being taken — one driven by size, the other by return.
Two ways to top a leaderboard
Rank the board by dollars and it is a story about balance-sheet scale. Rank it by ROI and it is a story about leverage and conviction on a small book. Both are on display here, and the same table produces both winners depending on which column you read.
| Trader | 7d PnL | ROI | Equity |
|---|---|---|---|
| $217,035,736 | 1.7% | $13,010,796,041 | |
| $167,291,901 | 1.9% | $8,824,197,331 | |
| $82,366,618 | 1.7% | $4,797,997,966 | |
| $43,149,169 | 2.2% | $2,026,486,982 | |
| $9,070,127 | 55.9% | $25,298,814 | |
| $7,222,155 | 71.5% | $14,030,090 |
The top four names sit on equity measured in billions and post single-digit weekly ROI — 1.7% to 2.2%. The bottom two work with equity under $26M and turn that into 55.9% and 71.5% for the week. Same board, opposite risk profiles.
The size cohort: small returns on very large books
0XA822 made the most money on the board — over $217M — while returning just 1.7% on a $13.0B book.
0X54CD is close behind on both PnL and ROI, and
0X1C49 and
0X24DE round out a tight cluster: weekly returns of 1.7% to 2.2% on multi-billion-dollar equity.
A 1.7% to 2.2% weekly return on that kind of base is not a swing-for-the-fences posture. It reads like size deployed at modest effective leverage, where the dollar figure is a function of the balance sheet rather than aggressive directional risk. When capital is this large, moving the ROI needle even a point or two is hard, and blowups are expensive — so the incentive runs toward keeping exposure controlled. The headline PnL is big precisely because the base is big.
The ROI cohort: leverage doing the work
0X4E23 and
0X4C78 invert the picture. Their absolute PnL — $9.1M and $7.2M — is a rounding error next to the top of the board, but their ROI is 55.9% and 71.5% on equity of roughly $25M and $14M. That is where the concentrated, higher-leverage risk is being taken this week.
Two datapoints don't define a regime, but the shape is familiar: the large books harvest steady, low-ROI returns, while the sharp weekly percentages come off small, aggressively sized accounts. If you want to know where the tail risk lives on Hyperliquid right now, it is in the ROI column, not the PnL column.
Reading it without copying it
These figures are realized performance over a single week, not positions you can or should mirror. A high ROI tells you leverage paid off over seven days; it says nothing about how the same book behaves in a drawdown, what it is currently holding, or whether the edge repeats. Equity plus ROI is a better lens than PnL alone: it separates traders being rewarded for scale from traders being rewarded for risk.
- Top dollar PnL comes from billion-dollar books earning 1.7–2.2% weekly, not from aggressive bets
- The sharp 55.9% and 71.5% ROIs sit on sub-$26M equity — that is where leverage risk concentrates
- Leaderboards show realized winners only; equal-leverage losers are invisible
- Read ROI against equity, not PnL in isolation, and treat none of it as a signal to copy
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