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Kalshi taps DoubleZero for Wall Street-style high-speed data feed

By Diego Whitfield · · 1 min read

Prediction market platform Kalshi is integrating high-speed data infrastructure from DoubleZero, a move designed to deliver the kind of low-latency market feeds that institutional traders on Wall Street have come to expect.

A Push Toward Institutional Standards

Kalshi, the regulated prediction market operator, is adding DoubleZero's data to its order book in a bid to satisfy the growing appetite among professional trading firms for faster, more reliable market information. The partnership signals Kalshi's ambition to move beyond its retail-focused roots and court sophisticated institutional participants.

The integration is aimed at reducing latency and improving the quality of the data available to traders, mirroring the infrastructure standards that dominate traditional financial markets, where microseconds can determine profit or loss.

Speed is no longer a luxury in prediction markets — it's becoming the price of admission for serious institutional players.

Why the Feed Matters

High-speed data feeds are a cornerstone of modern trading, allowing firms to react instantly to shifting prices and execute strategies with precision. By tapping DoubleZero, which is associated with high-performance infrastructure in the Solana ecosystem, Kalshi is positioning itself to compete for the flow of professional capital that demands enterprise-grade tooling.

The collaboration reflects a broader trend in which crypto-native and prediction market platforms are adopting the technical rigor of established exchanges. As trading volumes grow and more capital enters these venues, the demand for robust, low-latency systems has intensified.

Key elements of the effort include:

  • Adding DoubleZero data directly to Kalshi's order book
  • Targeting institutional traders seeking Wall Street-caliber speed
  • Aligning prediction market infrastructure with traditional finance standards

For Kalshi, the deal represents another step in its strategy to legitimize prediction markets as a serious asset class capable of drawing the attention of well-resourced financial firms.

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