Kalshi, a regulated U.S. exchange that specializes in event‑driven contracts, has announced that its election‑related market data will now be streamed live through DoubleZero, a leading market‑data infrastructure provider. This integration is timed to coincide with the heightened activity surrounding the upcoming United States midterm elections, a period when political outcomes become a focal point for both traditional financial participants and newer, data‑driven traders.
The partnership between Kalshi and DoubleZero means that institutional clients, hedge funds, proprietary trading shops, and automated trading systems can now tap into a comprehensive view of the order books for political prediction contracts. Unlike the typical snapshot that many retail platforms provide, the new feed delivers full‑depth data, showing every bid and ask price level, order size, and the evolving liquidity landscape in real time. For market participants that rely on granular information to calibrate models, manage risk, or execute sophisticated strategies, this level of transparency is a significant upgrade.
Prediction markets have gained traction as a complementary source of insight for forecasting political events. By allowing participants to buy and sell contracts that pay out based on outcomes such as election results, party control of legislative chambers, or even specific policy votes, these markets generate price signals that reflect the collective wisdom of a diverse crowd.
Kalshi’s contracts are fully regulated under the Commodity Futures Trading Commission (CFTC), which adds a layer of credibility and legal clarity that many unregulated platforms lack. The decision to make this data available through DoubleZero underscores Kalshi’s ambition to embed its markets within the broader ecosystem of institutional finance, where data quality and latency are paramount. From a technical standpoint, DoubleZero provides a high‑throughput, low‑latency data distribution network that is already used by major exchanges for equities, futures, and options. By leveraging this infrastructure, Kalshi can ensure that its election‑related order‑book updates reach clients with minimal delay, a critical factor for algorithmic strategies that aim to capture fleeting arbitrage opportunities or react instantly to breaking political news.
The feed includes not only the top‑of‑book quotes but also the full depth of the book, allowing traders to see hidden liquidity, large hidden orders, and the overall shape of supply and demand across price levels. The timing of this rollout is strategic. Midterm elections historically generate substantial market volatility as investors reassess the political landscape that could influence fiscal policy, regulatory agendas, and economic outlooks. Historically, shifts in control of the House of Representatives or the Senate have been linked to changes in fiscal stimulus expectations, tax legislation, and even sector‑specific regulatory shifts.
By providing real‑time, granular data on how market participants are pricing these possibilities, Kalshi equips institutional investors with an additional tool to gauge sentiment and potentially hedge exposure. Beyond the immediate utility for traders, the expanded data access may also benefit analysts and researchers who study the predictive power of market‑based signals. Academic literature has shown that prediction‑market prices can often anticipate election outcomes with a high degree of accuracy, sometimes outperforming traditional polling methods. With full‑depth data, researchers can examine how liquidity, order flow, and price impact evolve as election day approaches, offering deeper insights into market efficiency and the behavior of informed versus uninformed participants.
Kalshi’s move also reflects a broader trend of integrating alternative data sources into mainstream investment workflows. As the industry continues to search for edges beyond conventional financial metrics, political event data—especially when delivered with the fidelity of a regulated exchange—becomes a valuable component of a diversified data stack. Portfolio managers may incorporate these signals into macro‑economic models, while quantitative teams can back‑test strategies that exploit divergences between market‑based probabilities and external forecasts. For automated traders, the availability of a reliable API that streams full‑depth order‑book information opens the door to sophisticated order‑execution algorithms.
These can dynamically adjust order sizes, manage slippage, and implement iceberg or hidden‑order tactics based on the observed depth. Moreover, the data can be fused with news‑feed APIs, social‑media sentiment analyses, and other real‑time indicators to create multi‑factor models that respond to both market and informational shocks. Kalshi has emphasized that the data feed complies with all regulatory standards, including proper handling of personally identifiable information and adherence to market‑data licensing agreements.
Clients will be able to subscribe to the feed on a tiered basis, selecting the level of detail and frequency that matches their operational needs and budget constraints. In summary, the launch of Kalshi’s election‑market data on DoubleZero marks a pivotal step in bridging the gap between niche prediction markets and the broader institutional trading community.
By delivering full‑depth, low‑latency order‑book information, Kalshi empowers a wide array of market participants—from hedge funds and systematic traders to academic researchers—to incorporate political outcome pricing into their decision‑making processes. As the midterm elections draw near, the enhanced visibility into market sentiment is likely to become an essential piece of the analytical toolkit for anyone looking to navigate the political and economic uncertainties that lie ahead.