Crypto Top-of-Book Streams

In addition to Chainlink's standard liquidity-weighted crypto price streams, Data Streams offers Top-of-Book streams for perpetual futures markets. These are sourced directly from a single centralized exchange's public order book, rather than aggregated across venues.

Top-of-Book

Top-of-Book streams report the best bid and best ask currently resting on a specific exchange's order book for a given instrument. These streams are useful for protocols that need to reflect a specific venue's live order book conditions, such as perpetual futures for tokenized equities and commodities (RWA perps) traded on Binance and Hyperliquid.

Data sources

ExchangePublic channelFields consumed
Binance<symbol>@bookTicker (Individual Symbol Book Ticker Stream)b (best bid price), a (best ask price)
Hyperliquidl2BookBest bid/ask px from levels[0]/levels[1]

Additional exchanges may be added over time as new streams are onboarded.

Schema

Top-of-Book streams use the RWA Advanced (v11) schema:

Schema fieldPopulated from
bidExchange's best bid price
bidVolumeSize at the best bid, when provided by the exchange
askExchange's best ask price
askVolumeSize at the best ask, when provided by the exchange
midCalculated by the Chainlink DON — not provided by the exchange
marketStatusReflects the venue's availability. Crypto perpetual markets generally trade continuously; see Market Status Values for how this maps for a specific feed.

Data freshness and update frequency

Top-of-Book streams are event-driven: a new observation is only published when the underlying exchange emits a new datapoint on its public channel. There is no fixed polling interval.

End-to-end latency from the underlying exchange to node operators is sub-second under normal conditions. Actual latency can vary based on network conditions and exchange-side publishing behavior.

Risk considerations

  • Single-source dependency: Each Top-of-Book feed is sourced from one exchange. If that exchange stops publishing updates, there is no automatic fallback to another venue for that feed.
  • Venue-specific pricing: Top-of-Book reflects one exchange's order book, which can diverge from prices on other venues, especially during periods of low liquidity or high volatility on the source exchange.
  • Review Developer Responsibilities before integrating Top-of-Book streams into a production application.

What's next

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