Kalshi, a regulated U.S. exchange that specializes in event‑driven contracts, has announced that its election‑related market data will be streamed live through DoubleZero, the technology platform that powers much of the firm’s market infrastructure. This development is timed to coincide with the intense period of speculation that surrounds the 2026 midterm elections, when voters across the country will decide control of the House of Representatives, the Senate, and dozens of state legislatures.

By making the order‑book data publicly accessible via DoubleZero, Kalshi is giving a broad set of market participants—particularly institutional investors, hedge funds, and firms that rely on automated trading strategies—a window into the depth and liquidity of its political prediction markets. ### Why the data matters Prediction‑market order books contain a wealth of information that goes far beyond the headline price of a contract. They reveal the volume of buy and sell orders at each price level, the speed at which orders are being filled, and the shifting sentiment of traders as new political developments unfold. For example, when a high‑profile candidate announces a policy shift or a scandal breaks, the order‑book can show how quickly market participants are adjusting their expectations about the election outcome.

Institutional traders can use this granular data to calibrate risk models, develop statistical arbitrage strategies, or simply gauge the market’s collective forecast with a level of precision that is impossible to obtain from a single price quote. ### Benefits for institutional and automated traders The inclusion of full‑depth market data on DoubleZero unlocks several practical advantages: 1. **Enhanced transparency** – Traders can see the exact distribution of orders across price levels, which helps them assess whether a market is thin or robust. This transparency reduces information asymmetry and promotes fairer pricing.

2. **Algorithmic integration** – Because DoubleZero provides a standardized API, firms can feed real‑time order‑book snapshots directly into their trading algorithms. This enables rapid response to market movements, such as executing a series of micro‑trades the moment a new poll is released. 3.

**Risk management** – Detailed depth data allows risk officers to monitor exposure more accurately. By observing how liquidity evolves as the election draws nearer, they can adjust position limits or hedge strategies accordingly.

4. **Research and analytics** – Academics and data scientists can mine the historical order‑book data to uncover patterns in political betting behavior, test hypotheses about market efficiency, or build predictive models that incorporate both price and volume signals. ### How the integration works DoubleZero serves as the data‑distribution layer for Kalshi’s exchange.

The platform aggregates order‑book updates from Kalshi’s matching engine and pushes them out to subscribed clients via low‑latency WebSocket streams. Subscribers receive a continuous feed that includes the best bid and ask, the full ladder of price levels, and metadata such as order size, timestamp, and order‑type identifier. The feed is designed to be resilient, with built‑in redundancy and failover mechanisms to ensure that even during periods of extreme market activity—such as after a major election‑night headline—data remains uninterrupted. ### Implications for the broader market Kalshi’s decision to open its political‑prediction order‑book to a wider audience reflects a growing trend among regulated exchanges to democratize market data.

Historically, deep order‑book information has been the domain of large broker‑dealers and proprietary trading firms that could afford expensive data subscriptions. By leveraging DoubleZero’s scalable infrastructure, Kalshi can provide the same level of detail to a broader set of participants at a more accessible price point. This could lead to increased competition in the political‑prediction space, tighter spreads, and more efficient price discovery. Moreover, the timing of the rollout is strategic.

The months leading up to the midterms are characterized by heightened volatility as campaign events, debates, and polling releases continually reshape expectations. Market participants who can ingest and act on real‑time depth data are likely to capture a competitive edge, whether they are betting on the outcome of a Senate race in a swing state or the aggregate performance of a party’s national slate. ### Regulatory considerations Kalshi operates under the oversight of the U.S. Commodity Futures Trading Commission (CFTC), which mandates rigorous reporting and transparency standards for exchange‑traded contracts.

By providing full‑depth data through DoubleZero, Kalshi not only complies with these requirements but also enhances its standing as a transparent and trustworthy venue for event‑driven trading. The data feed includes anonymized identifiers to protect the privacy of individual market participants while still delivering the necessary granularity for analysis. ### Looking ahead As the political landscape evolves, Kalshi plans to expand its catalog of election‑related contracts beyond binary outcomes (e.g., which party will control a chamber) to include more nuanced propositions such as the passage of specific legislation, voter‑turnout thresholds, or even state‑level ballot measures.

Each new contract will be accompanied by the same deep‑order‑book data feed, ensuring that traders have consistent access to the information they need to make informed decisions. In summary, the live integration of Kalshi’s election data into DoubleZero marks a significant step forward for market transparency and accessibility in the realm of political prediction trading. Institutional investors and algorithmic traders now have the tools to monitor every layer of the order book, react swiftly to emerging political news, and refine their risk‑management practices. As the 2026 midterms approach, the enhanced data flow is poised to foster a more vibrant, liquid, and efficient market for those betting on the future of American governance.