Kalshi, a regulated exchange that specializes in event‑driven contracts, has announced that its election‑related market data will be streamed live through DoubleZero, the leading market‑data platform for professional traders. This rollout arrives just weeks before the United States holds its midterm elections, a period traditionally marked by heightened political activity and a surge in interest from both retail and institutional participants seeking to gauge public sentiment and forecast electoral outcomes.
The partnership between Kalshi and DoubleZero is designed to give sophisticated market participants—such as hedge funds, proprietary trading firms, and quantitative strategies—full visibility into the depth of Kalshi’s political prediction‑market order books. In practice, this means that traders will be able to see not only the best bid and ask prices for each election‑related contract, but also the entire ladder of pending orders at every price level.
By exposing the complete order‑book depth, the integration enables participants to assess liquidity, identify potential price pressure zones, and develop more nuanced trading algorithms that react to subtle shifts in market sentiment. Why does this matter now? The U.S.
midterm elections, scheduled for early November, will determine control of the House of Representatives and the Senate, shaping the legislative agenda for the next two years. Historically, political prediction markets have served as a valuable barometer for voter intentions, often moving ahead of traditional polling data. With Kalshi’s contracts covering a wide array of race‑specific outcomes—such as Senate seats in swing states, gubernatorial contests, and even key ballot measures—traders can construct diversified portfolios that reflect their expectations for the political landscape. Institutional investors have long sought reliable, high‑frequency data feeds that can be integrated directly into their execution engines.
DoubleZero’s API delivers low‑latency, real‑time updates that are compatible with a variety of order‑management systems and algorithmic trading platforms. By tapping into this feed, firms can automate the placement of orders, adjust exposure dynamically, and back‑test strategies using historical depth data that was previously unavailable to most market participants.
Automated traders, in particular, stand to benefit from the granularity of the data. Machine‑learning models that predict election outcomes often rely on a mixture of macro‑economic indicators, polling trends, and social‑media sentiment. Adding order‑book depth as an input variable provides an additional, market‑derived signal that can improve model accuracy. For example, a sudden influx of large buy orders at a specific price level might indicate that a particular candidate is gaining behind‑the‑scenes support, prompting the model to adjust its probability forecast accordingly.
From a regulatory perspective, Kalshi operates under the oversight of the Commodity Futures Trading Commission (CFTC), ensuring that its contracts meet rigorous standards for transparency and fairness. The decision to broadcast order‑book depth through DoubleZero aligns with broader industry moves toward greater data accessibility, fostering a more level playing field for all participants. Moreover, the availability of this data helps market makers manage risk more effectively, as they can monitor order flow in real time and adjust their quotes to maintain orderly markets. The rollout will be phased, beginning with the most actively traded contracts—such as the overall outcome of the House majority and the Senate balance of power—and expanding to cover state‑by‑state races and specific ballot initiatives.
DoubleZero will provide documentation and support to help clients integrate the feed, including sample code snippets, latency benchmarks, and best‑practice guidelines for handling high‑volume data streams. Traders who are already familiar with DoubleZero’s ecosystem will notice that the integration follows the same conventions used for traditional equity and futures data. Each Kalshi contract will be assigned a unique ticker symbol, and depth updates will be delivered via the standard market‑by‑price (MBP) message format.
This consistency reduces the learning curve and allows firms to leverage existing infrastructure without the need for extensive custom development. In addition to the technical benefits, the timing of the launch offers strategic advantages. As the campaign season intensifies, political events—debates, policy announcements, and breaking news—can cause rapid swings in market sentiment.
Having instantaneous access to the full order‑book depth enables traders to react to these developments faster than competitors who rely solely on aggregated price data. This speed advantage can translate into more profitable entry and exit points, tighter spreads, and reduced slippage. Looking ahead, Kalshi and DoubleZero have hinted at future enhancements, such as the inclusion of historical depth archives for back‑testing, advanced analytics dashboards, and the potential to integrate other event‑driven markets (e.g., economic releases, sports outcomes) into the same data pipeline. These developments signal a broader vision of creating a unified, high‑resolution data environment for all types of prediction markets.
In summary, the live streaming of Kalshi’s election data on DoubleZero represents a significant step forward for the political prediction‑market space. By granting institutional and automated traders full‑depth visibility into order books ahead of the U.S.
midterms, the partnership not only improves market transparency but also equips sophisticated participants with the tools needed to craft more informed, data‑driven strategies. As the election cycle progresses, the enhanced data flow is expected to foster deeper liquidity, more accurate price discovery, and ultimately a more robust marketplace for political risk.