Kalshi has introduced an institutional-grade order book data feed designed to meet the infrastructure demands of systematic traders and market makers operating on its prediction market platform. Developed in partnership with low-latency network specialist DoubleZero Edge, the service provides real-time Level 1 and Level 2 market data for sports contracts and crypto perpetual futures, which represent nearly sixty percent of the platform’s weekly trading volume.
Previously, quantitative trading firms were forced to reconstruct Kalshi’s order book using REST APIs, a method that introduced latency and required significant technical workarounds. The new multicast feed eliminates this inefficiency by delivering full order book depth directly, enabling firms to model slippage, monitor cross-market pricing dynamics, and execute orders with institutional-grade precision. Kalshi is waiving its portion of data revenue during the first year to accelerate adoption among professional participants.
The launch represents a further step in Kalshi’s evolution toward traditional exchange infrastructure. The platform has already integrated with third-party systems like Talos to facilitate institutional order routing, but this data feed targets a distinct need among market makers and algorithmic trading desks requiring granular market information to support pricing models and liquidity management.
For brokers and fintech firms operating in derivatives or prediction markets, this development signals that Kalshi is actively competing for institutional liquidity by replicating the technical standards found on established electronic trading venues.
FXnCO Insight
Prediction markets are maturing rapidly toward conventional exchange infrastructure, and firms dismissing them as retail novelties risk underestimating their institutional appeal and competitive positioning.
Source: Finance Magnates