Most Volatile Hyperliquid Perps

Realized volatility is the actual, measured variability of a perp's returns over a recent window — the standard deviation of its recent bar returns, expressed as a percent. Unlike implied volatility (a market forecast), realized vol is backward-looking: it tells you how much the asset has actually been moving. Higher means wider swings.

It's the standard deviation of the asset's recent bar returns on the selected timeframe, scaled to a percent. A reading of 1.50% on the 1h view means the typical hourly return has been swinging about ±1.5% around its mean. It's a real statistical measure of dispersion, not a z-score or a normalized rank — the same units you'd compute from the raw price series.

They change the window the volatility is measured over. 1h uses recent hourly bars (freshest, recomputes every hour), 4h uses four-hour bars, and 1d uses daily bars (larger magnitudes). 1h is the default; the 4h and 1d views refresh on their respective bar boundaries (every four hours, and 00:00 UTC).

Volatility drives almost everything downstream: position size (higher vol → smaller size for the same risk budget), stop placement (tight stops get wicked out in high-vol names), and strategy fit (mean-reversion likes high vol, trend-following often prefers persistent moves). Knowing which perps are most volatile right now is the first input to sizing a trade correctly.

Use it as a sizing input and a filter, not a direction signal — volatility tells you how much to bet, not which way. Open the Hyperliquid Screener to combine realized vol with a directional signal (momentum, breakout, mean-reversion), then "Backtest in Keel" to size positions by volatility and run the rule with realistic fees and slippage before deploying live. Free to start.