Kalshi, a regulated U.S. exchange that specializes in event‑driven contracts, has announced that its election‑related market data will be streamed live on the DoubleZero platform in the weeks leading up to the 2026 midterm elections. This development marks a significant step forward for market participants who rely on granular, real‑time information to shape trading strategies, manage risk, and develop predictive models around political outcomes.
DoubleZero, a data‑distribution service that aggregates order‑book depth, trade‑by‑trade activity, and market‑wide analytics for a variety of asset classes, now includes the full depth of Kalshi’s political prediction‑market order books. In practice, this means that institutional investors, hedge funds, and automated trading systems can observe every bid and ask at every price level, watch the flow of new orders as they are placed, and monitor cancellations and modifications in near‑real time. The depth of data goes far beyond the simple last‑price or volume figures that are typically available on public dashboards, offering a richer picture of market sentiment and liquidity. Why does this matter for the upcoming midterms?
Political prediction markets have historically served as a barometer for public expectations about election outcomes, policy shifts, and even the likelihood of specific legislative actions. By providing a transparent, regulated venue for trading on these outcomes, Kalshi creates a market‑based probability that can be interpreted alongside traditional polling data. However, the true power of such markets emerges when sophisticated participants can dissect the order‑book dynamics. For example, a sudden influx of large buy orders at a particular strike price may signal that a well‑funded research group has uncovered new information, or that a high‑frequency trading algorithm has identified a temporary pricing inefficiency.
Access to this level of detail enables traders to act faster and more precisely than they could by relying solely on headline numbers. The integration also benefits automated traders and quant funds that build models around political risk. These entities often employ machine‑learning pipelines that ingest massive streams of data, looking for patterns that correlate with market moves. With DoubleZero delivering Kalshi’s order‑book depth in a standardized, low‑latency feed, developers can feed these granular snapshots directly into their models, calibrating probability curves in real time.
The result is a more responsive system that can adjust exposure to election‑related contracts as the political landscape evolves—whether that be a surprise primary upset, a major campaign scandal, or a shift in voter registration trends. From an institutional perspective, the new data feed satisfies several compliance and risk‑management requirements.
Regulators and internal audit teams often demand a clear audit trail of how positions are built and adjusted. By having a complete, timestamped record of every order that entered the market, firms can reconstruct the decision‑making process, demonstrate that they adhered to best‑execution standards, and provide evidence that any adverse price movements were not the result of market manipulation. Moreover, the depth data can be cross‑referenced with other market signals—such as futures on the S&P 500, treasury yields, or commodity prices—to assess whether political risk is being priced consistently across asset classes.
Kalshi’s decision to partner with DoubleZero also reflects a broader trend toward data transparency in niche markets. Historically, prediction‑market data has been siloed, with only a handful of participants privy to the full order‑book view.
By opening this information to a wider audience, Kalshi is fostering a more competitive environment where pricing efficiency can improve, spreads can narrow, and liquidity providers are incentivized to offer tighter quotes. This, in turn, benefits retail traders who may not have direct access to the deep feed but can enjoy tighter spreads and more reliable price discovery on the public interface. The timing of the launch is strategic.
The U.S. midterm elections are a pivotal event that can reshape the balance of power in Congress, influence fiscal policy, and affect the regulatory outlook for a wide range of industries—from energy to technology.
Market participants are already positioning themselves for potential outcomes, and the ability to monitor how the market’s collective expectations evolve minute‑by‑minute is a valuable edge. For instance, a surge in buying activity for contracts that pay out if a particular party gains a majority in the Senate could prompt a fund manager to increase exposure to sectors that historically benefit from that party’s legislative agenda. Beyond the immediate election cycle, the data feed sets a precedent for future event‑driven markets on Kalshi. The platform hosts contracts on everything from weather events to macro‑economic releases, and the same depth‑of‑book infrastructure can be applied to those markets as well.
As more participants adopt the DoubleZero feed, the ecosystem will likely see an influx of new analytical tools, third‑party dashboards, and research products that leverage the rich dataset. In summary, the live integration of Kalshi’s election order‑book data into DoubleZero equips institutional and automated traders with unprecedented visibility into political prediction‑market dynamics ahead of the 2026 U.S.
midterms. By delivering full‑depth, low‑latency information, the partnership enhances price discovery, supports sophisticated risk‑modeling, satisfies regulatory audit needs, and encourages a more transparent, competitive market environment. As the political calendar advances, market participants will be better positioned to interpret sentiment, react to emerging information, and ultimately make more informed trading decisions based on a comprehensive view of the market’s collective expectations.