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SKN | Kalshi Taps DoubleZero for Wall Street-Style High-Speed Data as Prediction Markets Court Institutions

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Kalshi is adding Solana-based DoubleZero’s low-latency market data infrastructure to its order book, bringing prediction-market data closer to the high-speed systems used by traditional financial exchanges. The move reflects a broader shift in digital assets as institutional traders demand faster, machine-readable market information for pricing, hedging and automated strategies.

Prediction Markets Move Toward Institutional-Grade Infrastructure

DoubleZeroEdge will distribute Kalshi’s live market data through a dedicated fiber network, giving connected traders simultaneous access to machine-readable information. The system is designed as a transport layer rather than another trading venue, addressing a structural difference between traditional finance and crypto, where traders have historically relied heavily on standard internet connections to obtain market data.

The distinction becomes increasingly important as prediction markets attract professional trading firms. Kalshi is one of the two largest prediction markets globally, alongside Polymarket, and its most actively traded contracts will initially be available through the DoubleZero connection. :contentReference[oaicite:2]{index=2}

Level 1 and Level 2 Data Give Traders a Fuller Market View

The initial rollout covers Level 1 and Level 2 market data. Level 1 provides the best available bid and ask prices together with completed trades, while Level 2 provides deeper visibility into orders across multiple price levels. For quantitative firms and market makers, that additional depth can be important for assessing liquidity, constructing pricing models and managing execution.

Kalshi’s initial coverage includes actively traded sports contracts and crypto perpetual futures. Crypto currently represents approximately 20.3% of Kalshi’s weekly notional trading volume, while sports accounts for about 37.8%, meaning the two categories together represent more than half of weekly volume. Exotics remain the largest category at approximately 39.4%.

Speed Matters More When Markets React to Macro Events

Prediction markets increasingly provide real-time probability signals around events such as interest-rate decisions, inflation data, geopolitical developments and asset-price movements. Those markets can react within milliseconds when new information becomes available, making the speed and consistency of data distribution more relevant to institutional trading strategies.

DoubleZero’s model is designed to distribute the same market information simultaneously to connected traders through dedicated fiber. The approach mirrors infrastructure used by traditional exchanges including the NYSE, Nasdaq and CME, where specialized connectivity has long been part of professional market structure.

Crypto Market Structure Is Converging With TradFi

The partnership points to a broader institutionalization of digital-asset market infrastructure. Rather than focusing solely on faster blockchain execution, the industry is increasingly building the surrounding systems that professional firms expect: low-latency connectivity, standardized market data and infrastructure capable of supporting automated pricing and hedging.

That shift could become particularly relevant as prediction markets and crypto derivatives develop overlapping use cases. Kalshi’s crypto perpetual futures bring digital-asset exposure into a prediction-market environment, while DoubleZero provides a distribution system modeled on traditional financial data networks. The result is a convergence between crypto-native infrastructure and Wall Street’s established approach to market-data delivery.

Looking ahead, the key test will be whether institutional traders translate faster data access into deeper liquidity, tighter pricing and greater participation on Kalshi. DoubleZero plans to make the infrastructure available across its connected network, while Kalshi’s expansion of market-data coverage could determine whether prediction markets evolve from primarily event-driven venues into more sophisticated components of institutional trading infrastructure.

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