Hyperliquid L4 Data

Hyperliquid L4 Data

Access raw Hyperliquid Level 4 data through CoinAPI's dedicated WebSocket DS infrastructure. Stream individual order lifecycle events, executed trades with wallet attribution, oracle prices, TWAP execution status, and raw node events from a single connection.

Historical datasets are also available through CoinAPI Flat Files using aligned schemas for research and production workflows.

What Is Hyperliquid Level 4 Data?

Most market data feeds aggregate liquidity before distributing it to users. Even traditional Level 2 and Level 3 feeds simplify what actually happens inside the matching engine.

Level 4 (L4) data exposes the raw order lifecycle. Instead of showing aggregated liquidity or individual resting orders alone, L4 follows every order as it moves through the exchange. Developers can observe order placement, modification, partial execution, cancellation, rejection, and complete fills as they occur.

For Hyperliquid, CoinAPI delivers this information directly through a dedicated WebSocket DS feed without waiting for block confirmations. In addition to order book mutations, the feed includes executed trades, oracle prices, TWAP execution updates, and raw node events.

This dataset is designed for applications that require the highest available level of market transparency.

What's Included?

The Hyperliquid L4 feed consists of six complementary data streams delivered through a single WebSocket DS endpoint.

FeedWhat it provides
book_l4Order-by-order Level 4 order book snapshots and incremental updates
trade_l4Executed transactions with taker and maker wallet attribution
hl_oracle_pricesOracle prices, mark prices, daily values, and price inputs
hl_twap_statusesTWAP execution progress, lifecycle, and completion status
hl_misc_eventsRaw Hyperliquid node events with normalized envelopes
hl_system_eventsRaw system action events with normalized payloads

The book_l4 Feed's Detailed Order Metadata

The book_l4 feed additionally includes detailed order metadata such as:

FieldWhat it means
idExchange-provided order identifier
priceOrder price
sizeCurrent order size
userHyperliquid wallet or account associated with the order
cloidClient order identifier when provided
order_typeExchange order type
orig_sizeOriginal order size
update_typeLifecycle action applied to the order
FieldWhat it means
hl4_statusHyperliquid order status
tifTime-in-force value
reduce_onlyIndicates whether the order is reduce-only
trigger_pxTrigger price for stop or take-profit orders
trigger_conditionHuman-readable trigger condition
childrenNested child orders attached to a parent order
children_oidsChild order identifiers for bracket orders

Together, these feeds expose the full observable lifecycle of Hyperliquid orders together with execution, oracle, TWAP, and exchange-native events.

Available Delivery Methods

Hyperliquid L4 data is available through CoinAPI's dedicated WebSocket DS infrastructure for real-time streaming and through Flat Files for historical analysis.

WebSocket DS

Real-time Hyperliquid L4 data is delivered through a dedicated endpoint:

wss://hyperliquidl4.ws-ds.md.coinapi.io/

After connecting, clients subscribe to one or more feed families using a standard hello message.

Developers can subscribe to:

  • book_l4
  • trade_l4
  • hl_oracle_prices
  • hl_twap_statuses
  • hl_misc_events
  • hl_system_events

Use the CoinAPI Metadata REST endpoints to discover available HYPERLIQUIDL4_* symbols before subscribing.

Flat Files

Historical Hyperliquid L4 datasets are available as hourly refreshed CSV.gz Flat Files hosted on AWS S3.

Flat Files use aligned field naming conventions with the WebSocket DS feed, allowing research and production systems to share the same schema definitions without separate ingestion logic.

  • Bulk historical access without replaying WebSocket streams.
  • Compressed CSV.gz files for efficient storage and processing.
  • AWS S3 delivery for automated and parallel downloads.
  • Consistent schema with WebSocket DS for shared ingestion logic.
  • Useful for backtesting, market replay, and order book research.

Live Hyperliquid L4 Streaming

Unlike traditional market data feeds, Hyperliquid L4 streams every observable order mutation instead of waiting for block confirmations or publishing aggregated snapshots.

For book_l4, snapshot messages contain the current visible order book. Incremental updates include only the orders that changed.

Supported order lifecycle updates include:

Update TypeDescription
ADDOrder accepted into the order book
UPDATEExisting order modified
SUBTRACTOrder size reduced
DELETEOrder removed
MATCHOrder size reduced because of an execution

Executed trades are delivered separately through the trade_l4 feed and include both maker and taker wallet attribution. Oracle feeds provide continuously updated mark and oracle prices, while TWAP feeds report execution progress and lifecycle state for TWAP orders.

Raw node event feeds expose normalized Hyperliquid system and miscellaneous events for observability, auditing, and infrastructure monitoring.

Hyperliquid L4 Dataset Characteristics

  • Available through the dedicated Hyperliquid WebSocket DS endpoint
  • Historical datasets available through CoinAPI Flat Files
  • Supports six real-time feed families from a single WebSocket connection
  • Streams raw Level 4 order lifecycle events without aggregating liquidity
  • Order book updates include exchange order identifiers when provided
  • Tracks complete order lifecycles including placement, modification, partial execution, cancellation, rejection, and fills
  • Includes wallet attribution for passive orders and executed trades
  • Supports advanced order metadata including Time-In-Force, Reduce-Only, trigger prices, trigger conditions, and bracket order relationships
  • Symbol-level feeds available for order books, trades, oracle prices, and TWAP statuses
  • Exchange-level feeds available for raw node events and system events
  • ISO 8601 UTC timestamps
  • CoinAPI normalized Hyperliquid symbol identifiers

Why Developers Use Level 4 Instead of Level 3

Level 3 (Market-by-Order) exposes individual passive orders when the exchange provides them. Level 4 goes one step further by exposing the complete observable order lifecycle together with exchange-specific metadata and additional market infrastructure feeds.

For Hyperliquid, Level 4 extends beyond the order book itself by including wallet attribution, oracle updates, TWAP execution status, and raw node events through the same streaming infrastructure.

If you need…Use
Individual passive ordersOrder Book L3
Order identifiersOrder Book L3
Complete order lifecycleHyperliquid L4
Wallet attributionHyperliquid L4
Oracle and mark pricesHyperliquid L4
TWAP execution monitoringHyperliquid L4
Raw node eventsHyperliquid L4
Exchange-native execution researchHyperliquid L4

Many quantitative research systems combine both datasets. Level 3 provides a normalized Market-by-Order view across supported exchanges, while Hyperliquid L4 delivers exchange-native order lifecycle data for applications that require the highest available level of market detail.

Common Hyperliquid L4 Use Cases

  • Build low-latency execution systems
  • Monitor complete order lifecycles
  • Track wallet-level trading activity
  • Analyze TWAP execution
  • Monitor oracle and mark prices
  • Build exchange observability pipelines
  • Research market microstructure

Who Uses Hyperliquid L4 Data?

  • High-frequency trading firms
  • Quantitative researchers
  • Market making firms
  • Execution analytics platforms
  • AI trading systems
  • Exchange infrastructure teams
Hyperliquid L4 Data

Ready to Build with Hyperliquid L4?

Explore the Hyperliquid L4 documentation to stream raw Level 4 order book mutations, executed trades with wallet attribution, oracle updates, TWAP execution status, and normalized node events through CoinAPI's dedicated WebSocket DS infrastructure.

Whether you're building execution algorithms, monitoring market structure, or researching order lifecycle behavior, Hyperliquid L4 provides exchange-native market data with aligned historical Flat Files for seamless transition from research to production.