Hyperliquid Batch Order Modification: Partial Results and Recovery
An accepted batch request does not mean every order modification succeeded.
Hyperliquid Batch Order Modification: Partial Results and Recovery
An accepted batch request does not mean every order modification succeeded.
Model the failure correctly
Assign each desired quote a client identity, generation, old order ID, target price, size, and nonce.
Collect evidence
Model desired, submitted, live, replace-pending, filled, canceled, rejected, and unknown states explicitly.
Build the control path
Group batches by urgency and generation; prioritize risk-reducing cancels over quote improvements.
Handle edge cases
Apply granular successes and reconcile ambiguous elements against open orders and fills before retrying.
Recovery procedure
If an old order fills during replacement, update inventory before calculating the replacement size.
Production metrics
Monitor partial-result rate, unknown duration, stale generations, duplicate IDs, and reconciliation lag.
TierZero can help implement or review this architecture through our relevant engineering service.
Primary reference
See the official technical documentation and pin the exact API behavior used by your deployment.
Building this for production?
We turn this architecture into tested, non-custodial software with monitoring, documentation and deployment support.
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