Kalshi, a regulated U.S. exchange that specializes in event‑driven contracts, has announced that its election‑related market data will be streamed live to the DoubleZero platform in the weeks leading up to the 2026 midterm elections. This integration marks a significant step forward for professional market participants who rely on granular, real‑time information to shape their trading strategies, risk‑management models, and research on political outcomes.
DoubleZero, a data‑distribution service tailored for institutional investors, high‑frequency traders, and quantitative funds, now hosts the complete depth of Kalshi’s order books for a suite of political contracts. These contracts cover a broad range of electoral scenarios, from Senate seat flips and House control to specific gubernatorial races and key ballot measures. By delivering the full range of bid and ask levels, along with timestamps and trade‑size metadata, DoubleZero enables its users to reconstruct the exact market microstructure that underlies each political prediction.
The timing of the launch is intentional. The U.S. midterm elections, slated for early November, historically generate heightened volatility not only in traditional equity markets but also in ancillary assets such as commodities, currencies, and fixed‑income securities.
Political outcomes can shift fiscal policy expectations, regulatory landscapes, and even geopolitical risk assessments. Consequently, a growing cohort of hedge funds, pension managers, and proprietary trading firms have begun to incorporate political‑event contracts into their broader portfolio‑construction processes. Access to high‑resolution order‑book data allows these participants to gauge market sentiment, identify liquidity pockets, and test the efficacy of algorithmic execution strategies before committing capital. From a technical standpoint, Kalshi’s data feed to DoubleZero includes the following elements: 1.
**Full Order‑Book Snapshots** – Every price tier on both the bid and ask side is transmitted at sub‑second intervals, preserving the depth that is typically hidden behind aggregated volume figures. 2. **Trade‑By‑Trade Updates** – Each executed transaction is logged with price, size, and execution timestamp, enabling precise reconstruction of price impact and slippage. 3.
**Quote‑Change Events** – Modifications to existing orders, cancellations, and new order submissions are all captured, providing a complete narrative of market dynamics. 4. **Historical Archive** – DoubleZero retains a searchable history of the data, allowing users to back‑test strategies over multiple election cycles and compare how market behavior evolves as election day approaches.
Institutional users have highlighted several practical applications for this enriched dataset. First, quantitative analysts can feed the order‑book information into machine‑learning models that aim to predict election outcomes earlier than traditional polling aggregates.
By detecting subtle shifts in order flow—such as a sudden surge in buy orders for a particular candidate’s contract—models can generate early signals that may precede public opinion polls. Second, execution algorithms benefit from the ability to simulate realistic market conditions.
When designing a strategy to trade large volumes of political contracts, firms must understand the depth and resilience of the order book to avoid moving the market against themselves. The granular data supplied by DoubleZero allows developers to stress‑test their algorithms under a variety of liquidity scenarios, from thinly traded niche races to highly liquid national contests. Third, risk managers can employ the data to construct more accurate Value‑At‑Risk (VaR) and stress‑testing frameworks. Political events are binary by nature, but the market’s pricing of those binaries reflects a probability distribution that can shift dramatically in response to news, debates, or emerging scandals.
By monitoring order‑book dynamics in real time, risk teams can adjust exposure limits dynamically, ensuring that the firm’s overall risk profile remains within acceptable bounds. The partnership also underscores a broader trend toward the institutionalization of prediction markets.
Historically, political contracts were the domain of retail enthusiasts and hobbyist traders. However, as regulatory clarity improves—Kalshi operates under the oversight of the U.S. Commodity Futures Trading Commission (CFTC)—the barrier to entry for professional participants has lowered.
The availability of deep market data is a key catalyst in this evolution, because it bridges the information gap that previously made large‑scale, systematic trading of political outcomes impractical. Beyond the immediate midterm cycle, the Kalshi‑DoubleZero data pipeline is designed to be extensible. Future expansions may include data on presidential elections, referenda, and even non‑U.S. political events, should demand arise.
Moreover, the architecture supports low‑latency delivery, which is essential for firms that operate on millisecond‑scale trading windows. In summary, the live integration of Kalshi’s election order‑book data into DoubleZero equips institutional and automated traders with the depth, speed, and historical context needed to navigate the complex landscape of political prediction markets. By opening up the full market microstructure ahead of the 2026 U.S.
midterms, the collaboration not only enhances trading efficiency and analytical rigor but also signals a maturation of political contracts as a legitimate asset class for sophisticated market participants.