Kalshi, a regulated U.S. 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 2026 midterm elections. This move represents a significant step forward for both professional investors and automated trading systems that rely on granular, real‑time information to shape their strategies.

## Why the integration matters DoubleZero is a data‑distribution service that aggregates order‑book depth, trade‑by‑trade activity, and pricing history from a variety of exchanges and makes it available via low‑latency APIs. By pulling Kalshi’s election market data into DoubleZero, market participants gain a unified view of the entire order‑book – not just the top‑of‑book bid and ask prices but the full stack of limit orders at every price level. For institutional traders, this depth of insight is crucial when assessing liquidity, estimating potential price impact, and constructing hedging or speculative positions around political outcomes. Automated trading desks, especially those that employ statistical arbitrage or machine‑learning models, thrive on high‑frequency, high‑resolution data.

The ability to ingest Kalshi’s order‑book snapshots in real time allows these systems to detect subtle shifts in market sentiment as new information about candidates, campaign finance, or policy proposals emerges. In the context of U.S. midterms, where political developments can swing public opinion within minutes, having immediate access to the full depth of the market can be the difference between capturing a profitable trade and missing the opportunity entirely. ## What data will be available?

The feed will include: * **Full‑depth order‑book data** – every resting bid and ask at each price tier for each election‑related contract, such as "Democratic Senate win in Texas" or "Republican control of the House." * **Trade‑by‑trade execution data** – timestamps, trade size, price, and buyer/seller identifiers (anonymized) for each transaction that clears on Kalshi. * **Historical snapshots** – a rolling archive of order‑book states that can be used for back‑testing strategies or conducting post‑event analysis.

* **Metadata** – contract specifications, expiration dates, settlement rules, and any regulatory disclosures required for compliance. All of this information will be delivered through DoubleZero’s REST and WebSocket endpoints, with latency targets under 10 milliseconds for the most time‑sensitive applications. The service also offers configurable filters, so users can subscribe only to the contracts or market segments that are relevant to their portfolios. ## Benefits for institutional participants 1.

**Enhanced liquidity assessment** – By visualizing the entire depth of the market, traders can gauge how much volume is available at various price points, allowing them to plan large orders with minimal slippage. 2. **Improved risk management** – Access to real‑time order flow helps risk officers monitor exposure to political events and adjust limits dynamically as market conditions evolve.

3. **Regulatory compliance** – Kalshi operates under the oversight of the Commodity Futures Trading Commission (CFTC), and the data feed includes the necessary audit trails and timestamps required for record‑keeping and reporting.

4. **Strategic insight** – The combination of order‑book depth and trade‑by‑trade data provides a richer picture of market sentiment than simple price charts, enabling more sophisticated forecasting models.

## Implications for algorithmic traders Algorithmic strategies that thrive on micro‑structure signals—such as order‑book imbalance, rapid order cancellations, or the emergence of large hidden orders—will find a new playground in political prediction markets. Historically, these markets have been less liquid than traditional equity or futures markets, but Kalshi’s partnership with DoubleZero is expected to attract a broader set of participants, thereby deepening the market and creating more robust data signals. Traders can now program bots to: * Detect sudden spikes in buy‑side pressure when a candidate’s poll numbers improve.

* Execute iceberg orders that gradually eat through the depth without moving the market price dramatically. * Deploy statistical arbitrage between related contracts, such as a "Senate majority" contract versus individual state contracts, using the granular order‑book to identify mispricings. ## Market context and outlook The U.S. midterm elections are a pivotal moment for both domestic policy and global financial markets.

Historically, political uncertainty has driven volatility across equities, bonds, and commodities. By offering a transparent, regulated venue for betting on specific outcomes, Kalshi provides a way for investors to hedge political risk directly rather than relying on proxy instruments like sector ETFs or macro‑economic futures.

With the DoubleZero integration, Kalshi expects a surge in participation from hedge funds, proprietary trading firms, and asset managers that previously may have been deterred by limited data access. The company has indicated that the expanded data feed will also support third‑party analytics providers, who can build dashboards, risk‑metrics, and predictive models that are sold to a wider audience. ## How to get started Interested parties can sign up for a DoubleZero API key on the platform’s website. After completing the standard KYC/AML verification, users will receive credentials that grant access to Kalshi’s election market streams.

Documentation includes example code in Python, Java, and C++, as well as best‑practice guides for handling high‑frequency data and managing latency. Kalshi also offers a sandbox environment where developers can test their integration against historical order‑book data before moving to the live feed. This ensures that trading algorithms are calibrated correctly and that any compliance checks are in place prior to live deployment.

## Conclusion The live migration of Kalshi’s election data onto DoubleZero marks a watershed moment for political prediction markets. By delivering full‑depth order‑book visibility and real‑time trade data, the partnership empowers institutional and automated traders to make more informed, timely decisions ahead of the 2026 U.S. midterms.

The increased transparency and liquidity are likely to attract a broader participant base, fostering a more vibrant market where political risk can be priced efficiently and managed effectively.