Hyperliquid Oracle vs Mark Price: Building a Liquidation Monitor

How a liquidation monitor should combine oracle price, mark price, margin state and live positions without generating misleading alerts.

Use the correct price for each decision

Last trade, mid, mark and oracle prices answer different questions. Preserve each field and its timestamp rather than collapsing them into one generic price.

Recalculate account risk

Track position size, entry, leverage mode, account value, maintenance margin and collateral. A price threshold alone cannot describe liquidation risk across cross-margin or portfolio accounts.

Stream and reconcile

Consume active asset context, user state and liquidation events over WebSocket, then periodically compare with authoritative snapshots. Pause automated action after gaps or mode changes.

Design actionable alerts

Report distance to liquidation, collateral assumptions, stale-data age and the specific position driving risk. Use warning and critical thresholds with hysteresis to prevent notification storms.

Build liquidation infrastructure

TierZero offers a Hyperliquid liquidation bot, risk dashboards and maintenance. The official subscription API provides the required feeds; contact us for implementation.

Need this in production?

Send your current stack, target chain, data providers and operational requirements through the TierZero contact page.