By Keel Research Team · Updated June 17, 2026
Hyperliquid's biggest movers right now — the top gainers and losers across all HL perps in one signed table, ranked by return. Green is up, red is down. Switch between 1h, 4h, and 1d windows. A discovery feed for what's moving, not a deploy signal.
| # | Symbol | Return |
|---|---|---|
| 1 | VVV | +2.72% |
| 2 | WCT | +2.46% |
| 3 | MORPHO | +2.31% |
| 4 | CHIP | +1.55% |
| 5 | PYTH | +1.47% |
| 6 | ALT | +1.32% |
| 7 | SKY | +1.22% |
| 8 | PURR | +1.18% |
| 9 | JUP | +1.09% |
| 10 | NIL | +1.06% |
| 11 | HYPE | +1.05% |
| 12 | KAS | +1.04% |
| 13 | ATOM | +1.03% |
| 14 | AERO | +1.01% |
| 15 | IO | +1.01% |
| 16 | BANANA | +1.00% |
| 17 | POPCAT | +0.97% |
| 18 | BOME | +0.97% |
| 19 | SPX | +0.95% |
| 20 | HEMI | +0.93% |
| 21 | ZETA | -0.41% |
| 22 | 2Z | -0.45% |
| 23 | APE | -0.47% |
| 24 | MELANIA | -0.49% |
| 25 | HYPER | -0.51% |
| 26 | ACE | -0.52% |
| 27 | EIGEN | -0.64% |
| 28 | ZRO | -0.74% |
| 29 | MEME | -0.76% |
| 30 | XMR | -0.77% |
| 31 | PROVE | -0.80% |
| 32 | kLUNC | -0.81% |
| 33 | DYM | -0.87% |
| 34 | WLD | -1.05% |
| 35 | HMSTR | -1.19% |
| 36 | AXS | -1.30% |
| 37 | TIA | -1.46% |
| 38 | LAYER | -1.71% |
| 39 | DYDX | -2.27% |
| 40 | RESOLV | -2.61% |
The table ranks every Hyperliquid perpetual by its return over the selected window — the latest close over the prior close on that timeframe, minus one, as a percent. The top 20 gainers and bottom 20 losers are merged into a single signed view, sorted from the strongest gainer down to the deepest loser.
This is a real price-change number, not a z-score or a normalized rank. A +2.20% reading on the 1h view means the perp’s mark is 2.2% above where it was an hour ago — the same move you’d read off the HL chart. Color encodes direction: green for gainers, red for losers.
Timeframe: use the 1h / 4h / 1d toggle to change the window. 1h is the default and the freshest (it recomputes every hour); the 4h and 1d views show larger moves but refresh on their bar boundaries (every four hours, and 00:00 UTC). The “Last updated” timestamp above the table is the source-of-truth for data age on the selected window.
The honest use of a movers list is as a discovery feed, not a buy list — by the time a name tops the gainers, most of the move has happened and reversion risk is highest. Form a thesis, then test it: open the Screener to build a cohort and backtest the rule before risking capital.
Keel is a Strategy OS for AI-assisted systematic trading on Hyperliquid. Turn this leaderboard into a strategy — backtest with realistic fees, slippage, and funding modeled, then deploy live with funding-aware execution.
A mover is a perp with a large price change over the selected window. This page ranks every HL perp by its return — the biggest positive returns (top gainers) and the biggest negative returns (top losers) in one signed table. Green is up, red is down, sorted from the strongest gainer down to the deepest loser. Switch the 1h / 4h / 1d toggle to change the window.
It's the simple bar-over-bar return — the latest close divided by the prior close on the selected timeframe, minus one, expressed as a percent. No leverage multiplier, no compounding: a +2.20% reading on the 1h view means the perp's mark price is 2.2% higher than an hour ago. It's the same number you'd read off the HL chart, not a z-score or a normalized rank.
They change the return window. 1h shows the last hour of price action (smaller magnitudes, freshest), 4h shows the last four hours, and 1d shows the move since the last daily close (larger magnitudes). 1h is the default and recomputes every hour; the 4h and 1d views refresh on their respective bar boundaries (every 4 hours, and 00:00 UTC).
Each timeframe refreshes on its own bar cadence — 1h every hour, 4h every four hours, 1d at 00:00 UTC. The "Last updated" timestamp above the table shows the exact data freshness for the selected window.
Chasing the top of a movers list is how most discretionary traders give back gains — by the time a name is at the top, much of the move has happened and reversion risk is highest. The useful move is the opposite: treat this as a discovery feed, form a thesis (continuation? mean-reversion? squeeze?), and test it with a backtest before risking capital. That's the whole point of the 'backtest instead of chasing' bridge below.
Turn the pattern into a rule: e.g. "go long the top-N gainers, rebalance on the bar, with a volatility filter and stops." Open the Hyperliquid Screener to build the cohort, then "Backtest in Keel" to run it with realistic fees, slippage, and funding modeled — so you find out whether momentum-chasing actually pays before you deploy it live. Free to start.
HL perps ranked by realized volatility — the widest swings, where the movers tend to come from.
Most-active HL perps by relative volume — pair with movers to confirm a move has real flow behind it.
Build a custom cross-sectional screen — combine return, volume, funding, and regime into one filter.