Hyperliquid trader + market data
Hyperliquid data
built for decisions.
Build trading, research, and market-intelligence products with live public positions, margin state, liquidation levels, L2/L4 depth, fills, funding, and trader context from the same maintained path that powers Omni Terminal.
Trader state that connects
Bring positions, leverage, margin use, funding, fills, and activity into the same investigation workflow.
- Public-wallet positions and margin state support global and profile views.
- Fill identity and activity context connect market events to observable trader behavior.
- Wallet-cluster and trader-profile outputs can enrich research and product workflows.
Depth beyond a top-of-book quote
Use the maintained orderbook path for market-structure views that need more than a generic ticker endpoint.
- L2 depth supports price-level liquidity and imbalance views.
- L4 order-level depth supports queue, identity, and liquidity investigation.
- Trades, fills, BBO, and TWAP contracts stay aligned with downstream analytics.
Derived risk with boundaries
Liquidation and margin-stress outputs are documented analytical views, with the source path and limitations kept explicit.
- Liquidation levels are tied to observable position and margin state.
- Historical and live infrastructure supports both snapshots and streaming workflows.
- Public documentation distinguishes analytical estimates from guaranteed execution outcomes.
One source path from node to customer surface.
The API is not a disconnected resale layer. Omni’s node, orderbook, stream processing, derived analytics, and terminal share documented contracts so customer data products stay aligned with the live trading surface.
Inspect the technical evidence- 01 Owned node + orderbook path
Observable upstream state and market-depth reconstruction.
- 02 Normalization + fanout
Stable stream contracts decouple consumers from node internals.
- 03 Historical + derived storage
ClickHouse, Kafka, and consumers support live and historical views.
- 04 Customer delivery
REST, WebSocket, shared fanout, or dedicated service models.
Hyperliquid trader + market data