Kalshi Election Data Becomes Available on DoubleZero Prior to 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 now be streamed live to the DoubleZero platform. This move comes as the political calendar turns toward the midterm elections, a pivotal moment that will reshape the balance of power in Congress and potentially influence a wide array of policy decisions.

By making the data feed publicly available on DoubleZero, Kalshi is opening a new channel for both institutional investors and automated trading systems to observe, analyze, and act upon the real‑time dynamics of political prediction markets. ### Why the Integration Matters DoubleZero is a data‑distribution service that aggregates market‑level information from a variety of exchanges and makes it accessible via standardized APIs. Historically, political prediction markets have been somewhat siloed, with most participants relying on proprietary dashboards or limited snapshots of order‑book activity.

The integration of Kalshi’s election data into DoubleZero changes that landscape in several key ways: 1. **Full‑Depth Order‑Book Visibility** – Traders can now see every bid and ask posted on Kalshi’s election contracts, not just the best prices. This depth of information allows for a more nuanced understanding of market sentiment, liquidity distribution, and potential price pressure points. 2.

**Real‑Time Updates** – The feed updates with millisecond precision, ensuring that algorithmic strategies can react instantly to shifts in demand or supply. For high‑frequency trading desks, that latency advantage can be the difference between profit and loss.

3. **Standardized Access** – By delivering the data through DoubleZero’s API, Kalshi eliminates the need for custom integration work. Institutions can plug the feed directly into existing analytics pipelines, risk‑management tools, or execution engines.

4. **Regulatory Transparency** – Kalshi operates under the oversight of the U.S. Commodity Futures Trading Commission (CFTC). Providing transparent, auditable market data aligns with regulatory expectations and builds confidence among risk‑averse participants.

### What Types of Contracts Are Covered? Kalshi’s election suite includes a range of binary and multi‑outcome contracts that settle based on official election results. Examples include: - **Senate Control** – A contract that pays out if a particular party gains a majority in the Senate.

- **House Majority** – Similar to the Senate contract but focused on the 435 seats in the House of Representatives. - **Governor Races** – State‑level contracts that resolve based on the outcome of gubernatorial elections in key swing states. - **Ballot Measures** – Contracts tied to specific referenda, such as constitutional amendments or tax propositions.

Each contract follows a clear, predefined settlement rule, and the order‑book for each is now fully exposed via DoubleZero. This granularity enables traders to construct sophisticated hedging strategies, such as buying protection on a Senate‑control contract while simultaneously taking a directional position on a specific governor’s race. ### Implications for Institutional and Automated Traders Institutional investors have traditionally been cautious about entering prediction‑market spaces due to concerns about liquidity, market manipulation, and regulatory clarity. Kalshi’s partnership with DoubleZero addresses these concerns in several respects: - **Liquidity Assurance** – By broadcasting the entire order book, market participants can gauge depth before committing capital.

This transparency reduces the risk of thin‑market slippage. - **Risk Management** – Real‑time data feeds allow risk teams to monitor exposure across multiple political contracts simultaneously, applying stress‑testing scenarios that reflect potential election outcomes. - **Algorithmic Execution** – Quantitative funds can now embed political market signals into broader macro‑strategies.

For instance, a model that correlates Senate composition with fiscal policy expectations can dynamically adjust positions as the order‑book evolves. - **Cross‑Asset Correlation** – The political market data can be combined with equities, fixed income, and commodities data to explore how election‑related sentiment propagates through traditional financial instruments. ### Potential Use Cases and Strategies 1. **Event‑Driven Arbitrage** – Traders may spot price discrepancies between related contracts (e.g., a Senate‑control contract versus individual state Senate races) and execute arbitrage trades that profit from the convergence of those prices.

2. **Sentiment‑Based Positioning** – By monitoring the volume and price movement in the order book, analysts can infer market expectations about the likelihood of a party gaining control, then align equity or sector bets accordingly. 3. **Risk Hedging for Portfolio Managers** – Asset managers with exposure to sectors sensitive to policy changes (healthcare, energy, defense) can hedge against adverse election outcomes by taking opposite positions in Kalshi’s contracts.

4. **Machine‑Learning Forecasts** – Data scientists can feed the high‑frequency order‑book data into predictive models that incorporate order flow, order‑size distribution, and price velocity to forecast election results with greater precision. ### Technical Details of the Feed The DoubleZero API delivers the following fields for each contract: - **Timestamp** – Unix epoch time in milliseconds.

- **Contract Identifier** – A unique symbol representing the specific election contract. - **Bid Price** – The price at which participants are willing to buy. - **Bid Size** – Quantity available at the bid price.

- **Ask Price** – The price at which participants are willing to sell. - **Ask Size** – Quantity available at the ask price. - **Last Trade Price** – The most recent transaction price.

- **Last Trade Size** – Volume of the most recent transaction. - **Cumulative Volume** – Total traded volume for the contract since market open. Data is transmitted over secure WebSocket connections with optional REST endpoints for historical snapshots.

Users can subscribe to individual contracts or receive a bulk stream of all election‑related contracts, depending on their bandwidth and processing capabilities. ### Looking Ahead The midterm elections are just the first major political event that Kalshi plans to cover through DoubleZero.

The exchange has indicated that future expansions will include data for presidential elections, major referenda, and possibly international political events, subject to regulatory approval. As the ecosystem matures, we can expect a growing community of traders, analysts, and researchers leveraging this transparent, high‑frequency data to gain insights into the political forces that shape markets. In summary, the live streaming of Kalshi’s election order‑book data on DoubleZero marks a significant step toward democratizing access to political prediction markets.

By providing institutional and automated traders with full‑depth, real‑time information, the partnership enhances market efficiency, improves risk‑management capabilities, and opens the door to innovative trading strategies that bridge the gap between politics and finance. The result is a richer, more informed marketplace where participants can make decisions based on a clearer picture of collective expectations ahead of one of the most consequential electoral cycles in recent memory.