Kalshi's live order book is now available on DoubleZero Edge, a low-latency market-data transport layer that uses multicast distribution. The announcement marks the first time a prediction-market venue has accessed institutional-grade market-data infrastructure, and the second venue overall on Edge after Solana arrived in April 2026.
DoubleZero Edge is designed to serve quantitative traders, market makers, and algorithmic desks that require real-time price signals with minimal latency. Multicast networks distribute data to multiple subscribers simultaneously over a single transmission, reducing the redundant server load and latency spikes that plague traditional request-response systems. The architecture is standard for equities and futures markets but has been absent from the crypto derivatives and prediction-market sector until now.
Kalshi operates the largest U.S. prediction-market exchange and has grown to trade contracts on sports events, economic indicators, and policy outcomes. The platform recently expanded into crypto perpetuals. All actively traded sports contracts and crypto perpetual futures markets on Kalshi are now available to Edge subscribers with full order-book depth on a single connection, according to the announcement.
As trading volumes on Kalshi and other prediction-market venues have risen, the friction of polling market data through standard APIs has become a bottleneck for high-frequency strategies. Multicast delivery eliminates that polling delay by pushing updates to all subscribers at once, a model borrowed directly from equities and options infrastructure.
Solana was the first venue to launch on DoubleZero Edge in April 2026, receiving similar treatment for its spot and derivatives orderbooks. Kalshi is the second venue in under five months. DoubleZero has chosen to build and maintain a separate multicast feed for prediction markets, a decision previously reserved for equities and traditional crypto spot trading.
Prediction markets have operated outside traditional financial infrastructure for years, relying on web APIs and REST protocols designed for retail-grade latency. Kalshi's shift to Edge puts it on parity with how Nasdaq and CME distribute market data to professional participants, a standard that has been absent in the sector.
If other prediction-market venues do not follow Kalshi onto multicast networks within the next two quarters, the infrastructure advantage will accrue entirely to Kalshi's order flow.