Kalshi, the regulated U.S. exchange that specializes in event‑driven contracts, has announced that its election‑related market data will now be streamed live to DoubleZero, a leading market‑data platform used by professional traders and quantitative firms. This development comes at a crucial moment, as the political landscape is gearing up for the 2026 midterm elections, and market participants are eager to incorporate political risk signals into their trading models.
The partnership means that both institutional investors and automated trading systems will be able to view the full depth of the order books for Kalshi’s political prediction contracts. Rather than just seeing the best bid and ask prices, users will have visibility into the entire range of pending orders, including the volume at each price level. This granular insight enables more sophisticated analysis of market sentiment, liquidity, and potential price movements tied to electoral outcomes such as Senate races, House contests, and key gubernatorial contests.
From a technical standpoint, DoubleZero will ingest Kalshi’s data feed via a low‑latency API that delivers updates in near‑real‑time. The feed includes standard market‑data fields—price, size, timestamp—as well as contract‑specific metadata that identifies the underlying political event, the contract’s expiration date, and the settlement mechanism. The integration also supports historical data retrieval, allowing traders to back‑test strategies that incorporate political‑event risk over previous election cycles. Why is this integration significant?
Historically, political prediction markets have been fragmented, with data scattered across a handful of niche platforms that are not easily accessible to large‑scale traders. By bringing Kalshi’s order‑book depth to DoubleZero, the barrier to entry is lowered for hedge funds, asset managers, and proprietary trading firms that rely on high‑quality data pipelines.
These participants can now blend political‑event signals with traditional financial indicators—such as macroeconomic releases, earnings reports, and commodity price movements—to construct multi‑factor models that better capture the complex interplay between politics and markets. The timing also aligns with a broader trend of institutional adoption of alternative data sources. Over the past few years, investors have increasingly turned to unconventional datasets—social‑media sentiment, satellite imagery, web‑traffic statistics—to gain an edge. Political prediction markets represent a particularly compelling source because they aggregate the collective expectations of a diverse set of participants who are betting real money on future outcomes.
When the order‑book depth shows a surge of buying interest in a contract that predicts a particular party’s victory in a swing state, it can serve as an early warning signal that traditional polls may not yet reflect. Kalshi’s platform is regulated by the Commodity Futures Trading Commission (CFTC) and operates under a framework that treats each political contract as a binary option with a defined payoff structure. This regulatory oversight provides an added layer of confidence for institutional users who are accustomed to dealing with exchanges that meet strict compliance standards.
Moreover, Kalshi’s contracts settle based on official election results, ensuring that the outcomes are verifiable and free from manipulation. In practice, a quantitative trading desk might use the newly available depth data to calibrate a logistic‑regression model that predicts the probability of a specific electoral outcome. By feeding the model with real‑time order‑book imbalances—such as a persistent excess of sell orders at a particular price level—the desk can generate a dynamic probability curve that updates as market participants adjust their positions. This probability can then be fed into a larger portfolio‑optimization algorithm that reweights exposure to sectors historically sensitive to political change, such as defense, energy, and healthcare.
Beyond the immediate analytical benefits, the integration also opens up new avenues for liquidity provision. Market makers operating on DoubleZero can now quote tighter spreads on Kalshi’s contracts, knowing they have full visibility into the order flow. This can reduce transaction costs for all participants and encourage greater participation in political markets, which historically have suffered from thin liquidity during non‑election periods.
Regulators have taken note of the growing convergence between political prediction markets and mainstream finance. By ensuring that the data pipeline adheres to best‑practice standards for security, timestamp integrity, and auditability, both Kalshi and DoubleZero are positioning themselves as compliant, trustworthy sources of information. This is especially important given the heightened scrutiny surrounding market manipulation and the potential for political events to influence broader market stability.
Looking ahead, Kalshi plans to expand its catalog of political contracts beyond the U.S. midterms. Future offerings may include forecasts for upcoming gubernatorial races, special elections, and even international events such as referendums or major policy votes. Each new contract will be integrated into the DoubleZero feed, further enriching the data ecosystem available to professional traders.
In summary, the live streaming of Kalshi’s election data to DoubleZero marks a pivotal step in bridging the gap between niche prediction markets and the broader institutional trading community. By delivering full‑depth order‑book information in a low‑latency, regulated environment, the partnership equips traders with the tools needed to incorporate political risk into sophisticated, data‑driven strategies.
As the 2026 midterm elections approach, market participants are likely to intensify their focus on these signals, making the new data feed an essential component of modern, multi‑asset trading infrastructures.