Kalshi's election data now available on DoubleZero ahead of U.S. midterm elections

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 development marks a significant step forward for both professional investors and sophisticated trading algorithms that rely on granular, real‑time information to shape their strategies. By making the full order‑book depth of political prediction markets publicly available, Kalshi is opening a window into the collective expectations of market participants regarding outcomes such as Senate seat flips, House control, and key gubernatorial races. ### Why the data matters to institutional players Institutional investors—hedge funds, asset managers, and proprietary trading firms—have long sought more transparent and reliable sources of political risk data. Traditional polling aggregates and news sentiment scores provide a high‑level view, but they often lag behind rapid shifts in market sentiment caused by breaking news, legislative developments, or unexpected candidate announcements.

Kalshi’s contracts, which settle based on verifiable election outcomes, generate a continuous stream of price signals that reflect the crowd’s probability assessments in near‑real time. When these price signals are paired with the full depth of the order book—showing not only the best bid and ask but also the volume of orders at each price level—traders can gauge the strength of conviction behind each price point. For example, a deep stack of buy orders at a price implying a 55% chance of a particular party retaining a Senate seat suggests that a sizable cohort of participants is willing to commit capital to that outcome, even if the headline poll numbers are tighter. Conversely, a thin order book with large spreads may indicate uncertainty or a lack of liquidity, prompting a more cautious approach.

By feeding this data into quantitative models, institutions can calibrate their exposure to political risk, hedge existing positions, or even create new strategies that profit from mispricings in the prediction market. ### Automated trading and algorithmic opportunities Algorithmic traders thrive on high‑frequency, low‑latency data feeds. The integration of Kalshi’s order‑book depth into DoubleZero’s API means that bots can now monitor and react to minute‑by‑minute changes in political market sentiment. A typical workflow might involve the following steps: 1.

**Data ingestion** – The algorithm subscribes to the DoubleZero feed, receiving updates on every new order, cancellation, and trade execution across all election‑related contracts. 2.

**Signal extraction** – Using statistical techniques such as order‑flow imbalance, depth‑weighted average price, and volume‑weighted price momentum, the system derives a set of predictive signals. 3.

**Decision logic** – The signals feed into a machine‑learning model trained on historical election outcomes, macro‑economic variables, and past market reactions to news events. 4. **Execution** – When the model identifies a statistically significant edge—perhaps a contract priced at a probability that deviates from the model’s forecast—the algorithm places a market or limit order to capture the expected value.

Because the data is now available in a standardized, low‑latency format, developers can integrate it with existing risk‑management frameworks, back‑testing suites, and execution venues without building custom parsers or dealing with fragmented data sources. ### Regulatory compliance and market integrity Kalshi operates under the oversight of the Commodity Futures Trading Commission (CFTC), which imposes strict reporting, capital, and transparency requirements. By delivering its order‑book data through DoubleZero—a platform that adheres to industry‑standard security protocols and audit trails—Kalshi ensures that the information is both reliable and compliant with existing financial regulations. This is particularly important for institutional clients, who must demonstrate to regulators that any data‑driven trading activity is based on lawful and verifiable sources.

Moreover, the public availability of deep market data can enhance overall market integrity. When participants have access to the same granular information, price discovery becomes more efficient, and the likelihood of manipulation diminishes. Any anomalous trading patterns, such as sudden spikes in order volume at extreme price levels, can be quickly identified and investigated by both the exchange and oversight bodies. ### Practical use cases for the upcoming midterms The 2026 U.S.

midterm elections present a complex tapestry of races: 34 Senate seats, 435 House seats, and numerous state‑level contests that can shift the balance of power. Here are a few concrete scenarios where the new data feed could be valuable: - **Swing‑state Senate races** – In states where polls are within a few points, the order‑book depth may reveal where professional money is leaning, allowing fund managers to adjust their political risk exposure accordingly.

- **House majority projections** – By aggregating the probability contracts for each district, analysts can construct a real‑time probability distribution of which party will control the chamber, informing macro‑economic forecasts and sector allocations. - **Policy‑impact hedging** – Certain industries—such as renewable energy, defense, or healthcare—are highly sensitive to the composition of Congress. Traders can use Kalshi’s contracts to hedge against policy shifts that would arise from a change in legislative control. ### How to get started Clients interested in leveraging this data should follow a few straightforward steps: 1.

**Create a DoubleZero account** – Register on the platform, complete the KYC process, and request API access. 2. **Subscribe to Kalshi’s election feed** – Choose the specific contracts (e.g., “2026 Senate Majority”, “Governor of Texas”) and the depth level required (full depth vs.

top‑of‑book). 3.

**Integrate with existing systems** – Use the provided WebSocket or REST endpoints to pull data into your analytics pipeline. 4.

**Test and calibrate** – Run historical simulations using past election data to validate model performance before deploying live capital. ### Looking ahead Kalshi’s decision to publish its full‑depth order‑book data on DoubleZero signals a broader trend toward greater transparency in niche prediction markets. As more event‑driven contracts—ranging from climate‑policy outcomes to major sporting events—gain regulatory approval, the ecosystem of data providers, analytics firms, and trading platforms is likely to expand.

For now, the focus remains on the U.S. midterms, a pivotal moment that will shape legislative agendas for the next two years. By granting institutional and automated traders unprecedented insight into the collective betting odds, Kalshi and DoubleZero are positioning themselves at the forefront of a new era where political risk can be quantified, traded, and managed with the same rigor as traditional financial assets.

In summary, the live feed of Kalshi’s election order‑book depth on DoubleZero offers a powerful tool for anyone looking to incorporate political forecasting into their investment process. Whether you are a hedge fund seeking a statistical edge, a quant team building a real‑time sentiment model, or a compliance officer ensuring data provenance, the new data stream provides the granularity, speed, and regulatory confidence needed to make informed decisions ahead of the 2026 midterm elections.