00:00
The Financial Ways
The Financial Ways
USD/RUB
EUR/RUB
Cryptocurrency

DoubleZero Expands Edge Network With Hyperliquid Order Book Feeds

DoubleZero has launched five dedicated data feeds for Hyperliquid, providing trading firms and market makers with direct, sequenced access to order book and trade[XYZ] market activity. The service, which runs over a private fiber network, aims to eliminate the latency hurdles associated with rebuilding order books from public API endpoints.

DoubleZero Expands Edge Network With Hyperliquid Order Book Feeds

The new integration covers four feeds for native perpetual futures and trade[XYZ] contracts, alongside a fifth feed dedicated to mempool order intents. By bypassing public API limitations, the platform allows quantitative desks to ingest machine-readable data directly. This infrastructure was developed in collaboration with validator operators and ecosystem partners, including Hyperion DeFi, MAVAN, and Kinetiq.

For firms handling high volumes, the shift addresses a common technical bottleneck: the labor-intensive process of managing individual WebSocket connections and parsing fragmented API responses. According to DoubleZero co-founder Austin Federa, the service mirrors the distribution models used by traditional exchanges like the NYSE or CME, ensuring consistency for assets that trade around the clock. The feeds are currently available via paid subscription, with each package providing two IP addresses per region.

The expansion arrives as Hyperliquid’s trade[XYZ] markets see significant growth, with reported Q2 volumes reaching over $200 billion. These markets include contracts linked to commodities like gold, oil, and silver, which remain active even when traditional exchanges are closed. While DoubleZero provides the data path, the service remains strictly read-only, leaving execution and trading logic to the subscribers' own systems. This launch follows the recent addition of Kalshi and Solana to the Edge network, further positioning the service as a centralized hub for high-frequency venue data.

Share

Comments (0)

Leave a comment

No comments yet. Be the first!