The Hyperliquid AAVE funding rate is only useful when it fits the wallet. Hyperdaily frames Aave through DeFi beta where perp funding and on-chain yield compete, then keeps the actual live row and account risk in the scan.
MetaMask or Rabby returns the selected public account. No private key, agent wallet, transaction, or message signature.
| Hourly funding | 0.0013% |
|---|---|
| Annualized | 11% |
| Who pays | longs pay shorts |
| Mark price | $127.12 (-3.7% 24h) |
| Open interest | $79.1M |
| 24h volume | $53.0M |
Read live from the public Hyperliquid API, updated 2026-08-25 22:34 UTC. Funding is paid hourly.
AAVE holders often already earn yield elsewhere on chain, so the perp funding decision is really about whether the extra leg adds return or just concentrates DeFi exposure.
Stacking a perp position on top of existing protocol exposure doubles the same risk while the funding APR makes it look diversified.
How much of this wallet already moves with the DeFi complex before this leg is added?
Funding is peer-to-peer and settles hourly. The worked example below is arithmetic, not a live quote or return forecast.
| Check | What to verify |
|---|---|
| 1 | Map existing on-chain DeFi exposure |
| 2 | Compare perp funding with the yield already earned |
| 3 | Check correlation with the rest of the book |
| 4 | Confirm margin survives a sector-wide drawdown |
Worked example: at $10,000 oracle notional, an hourly funding rate of 0.01% implies a $1 payment for that interval before trading fees, slippage, and price PnL. Payment direction depends on the sign of the rate and the side of the position.
Hyperliquid perpetual funding is paid every hour.
No. Funding can flip, while price movement, fees, slippage, and liquidation risk can dominate the payment.
Paste a public wallet into Hyperdaily for a read-only briefing that compares live funding context with wallet risk and timing.
Hyperdaily separates public protocol facts from product interpretation, labels stale or missing evidence, and keeps connection separate from signing. Read the full data and scoring methodology.
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