Kalshi, a regulated 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 United States midterm elections. This development marks a significant step forward for both institutional investors and automated trading firms that rely on granular market information to build strategies around political outcomes. DoubleZero, a data‑distribution service that aggregates order‑book information from a variety of exchanges, will now host the complete depth of Kalshi’s political prediction‑market books. In practice, this means that every bid and ask, at every price level, will be visible to subscribers in real time.
Traders will be able to see not only the best‑bid and best‑ask prices but also the full stack of pending orders that sit deeper in the market. Such transparency is rare in the niche of political futures, where many platforms historically offered only top‑level pricing or delayed snapshots. The timing of the launch is deliberate. The U.S.
midterm elections, scheduled for early November, are expected to generate heightened volatility across a range of asset classes, from equities to commodities, as policymakers shift the balance of power in Congress. Market participants have increasingly turned to prediction markets as a barometer of public sentiment and a source of actionable insight. By providing full‑depth order‑book data, Kalshi and DoubleZero aim to give sophisticated traders a clearer view of market liquidity, order flow, and emerging price discovery dynamics.
For institutional investors, the value proposition is straightforward. Access to deep order‑book data enables more accurate measurement of market depth and potential slippage.
Portfolio managers can calibrate their exposure to political risk with greater precision, designing hedges or speculative positions that reflect the true supply and demand landscape. Moreover, the data can be integrated into risk‑management systems, stress‑testing models, and scenario analyses that factor in the probability of various electoral outcomes.
Algorithmic and high‑frequency trading firms stand to benefit even more. Their strategies often depend on micro‑level information—tiny shifts in order flow, rapid changes in bid‑ask spreads, and the emergence of large hidden orders. With the full depth of Kalshi’s books now available, automated systems can detect patterns that were previously invisible, such as the accumulation of large buy walls at specific price points that may signal institutional sentiment. These insights can be fed into machine‑learning models that forecast short‑term price movements or trigger execution algorithms designed to minimize market impact.
Kalshi’s decision to make its data publicly consumable through DoubleZero also reflects broader regulatory trends. The Commodity Futures Trading Commission (CFTC) has been encouraging greater transparency in derivative markets, especially those that touch on public policy events. By delivering real‑time, full‑depth data, Kalshi aligns itself with these expectations, potentially reducing compliance friction for its institutional clients who must demonstrate robust market‑surveillance capabilities. The expansion is not limited to a single contract.
Kalshi offers a suite of political contracts covering Senate races, House races, gubernatorial contests, and even specific ballot measures. Each contract will have its own order book, and all will be streamed simultaneously on DoubleZero. This breadth allows traders to construct multi‑leg strategies that hedge across different levels of government or to arbitrage price discrepancies between related contracts. From a technical standpoint, DoubleZero employs low‑latency data pipelines and standardized APIs that make integration straightforward.
Clients can subscribe via WebSocket, REST, or FIX protocols, depending on their infrastructure. The data feed includes timestamps, order identifiers, size, price, and side (buy or sell), ensuring that downstream systems have all the attributes needed for precise analytics.
The market reaction to the announcement has been positive. Early‑stage feedback from a pilot group of hedge funds and proprietary trading shops highlighted the immediate utility of seeing hidden liquidity. One quantitative fund noted that the ability to monitor order‑book depth allowed them to adjust their position sizing in real time, reducing execution costs by an estimated 15 basis points during volatile pre‑election trading sessions. Looking ahead, Kalshi plans to enhance the offering with additional analytics layers, such as aggregated volume heat maps, order‑flow imbalance metrics, and predictive indicators derived from machine‑learning models trained on historical election data.
These tools aim to further lower the barrier for firms that may lack in‑house expertise in prediction‑market dynamics. In summary, the live integration of Kalshi’s election data into DoubleZero provides a powerful new resource for market participants seeking to navigate the uncertainty surrounding the U.S.
midterms. By delivering full‑depth order‑book visibility, the partnership equips institutional and automated traders with the granular insight needed to make informed, risk‑adjusted decisions in a highly politicized trading environment.
The move underscores a broader industry shift toward greater transparency, data accessibility, and sophisticated analytics in the realm of event‑driven finance.