Kalshi Launches Low-Latency Market Data Feed on DoubleZero Edge for Traders

Kalshi Unveils Groundbreaking Low-Latency Market Data Feed on DoubleZero Edge



On August 12, 2026, Kalshi, the leading prediction market platform, made a significant stride in enhancing trading infrastructure by launching its live order book on DoubleZero Edge. This new initiative offers traders a streamlined, low-latency market-data feed, accessible for the first time to the broader investment community.

A Revolutionary Approach to Market Data


Kalshi is recognized for maintaining the world's largest prediction market, presenting contracts related to various sectors including economics, finance, politics, sports, culture, and cryptocurrency. With the growing interest in prediction markets, efficient access to market data has become essential for trading firms and quantitative analysts alike. Typically, these firms have had to navigate generating their own machine-readable views of market data, which can be cumbersome and inefficient.

DoubleZero Edge transforms this landscape by delivering a ready-to-use, market data pathway through its dedicated fiber network. This Feed allows institutions to take advantage of real-time insights without the need to create their own infrastructure from scratch.

Key Features of DoubleZero Edge


DoubleZero Edge excels in providing a low-latency transport layer, direct from exchanges and blockchain sources. Utilizing a multicast model, it ensures that machine-readable data is published in one go to all connected traders. This system mirrors the efficient methodologies employed by traditional financial exchanges like NYSE, NASDAQ, and CME for decades.

As stated by Austin Federa, co-founder of DoubleZero, “Data access is critical to market structure. Traditional finance evolved by ensuring speed and reliability for only the largest trading firms. With new finance like crypto, it's crucial to build those same infrastructures while ensuring accessibility for prediction markets.”

Enhancing Trading Capabilities


Kalshi’s partnership with DoubleZero puts institutional-grade infrastructure in the hands of traders, making it easier to access real-time data on sports events and crypto perpetual futures. These feeds include the Top of Book and Trades (Level 1) as well as Depth of Book (Level 2) information, providing a comprehensive view of market activities.

"Better markets are built on better connectivity," expressed Andy Ross, Kalshi's Head of Institutional. He emphasized how major trading firms in traditional markets have increasingly begun to engage with platforms like Kalshi, further validating the need for superior market data connectivity.

Launching with Competitive Pricing


To make this new data feed more accessible, Kalshi announced that it would waive its revenue share for the first year. This strategic move allows trading firms to benefit from a pricing model that focuses on network delivery costs rather than data licensing fees. By doing so, Kalshi aims to lower the barriers for entry for firms looking to integrate this cutting-edge feed into their trading operations.

Traders can subscribe to DoubleZero Edge and gain access to a wealth of market data powered by Kalshi Research today. This launch marks a pivotal evolution in prediction market access, paving the way for optimized trading strategies and enhanced market functionality.

A Bold Future for Prediction Markets


Founded in 2018, Kalshi has pioneered the establishment of prediction markets as a legitimate financial asset class. As it continues to innovate and expand its services, it remains committed to making markets accessible and insightful for both retail and institutional traders.

In a continually evolving landscape characterized by rapid data flows, this initiative signifies a crucial advancement in the trading infrastructure that will likely reshape how prediction markets operate in the future. For more information or to subscribe, visit Kalshi’s website or explore DoubleZero Edge at doublezero.xyz.

Topics Financial Services & Investing)

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