Kalshi, a regulated exchange that specializes in event‑driven contracts, has announced that its election‑related market data will now be available through the DoubleZero data‑distribution service. This move comes at a pivotal moment, as market participants scramble to incorporate political risk into their trading strategies ahead of the United States midterm elections, which are scheduled for early November.

By feeding the full‑depth order books for Kalshi’s political prediction contracts into DoubleZero, the company is giving institutional investors, hedge funds, quantitative trading desks, and automated execution engines a richer, more granular view of market sentiment than ever before. ## Why the integration matters Traditional political betting platforms have typically offered only surface‑level information—price quotes, basic volume figures, and occasional summaries of market sentiment. While useful for retail enthusiasts, those data points fall short for professional traders who rely on order‑book depth, bid‑ask spreads, and real‑time liquidity metrics to calibrate execution algorithms and risk models.

DoubleZero is a data‑feed infrastructure that aggregates market data from a variety of exchanges and delivers it in a low‑latency, standardized format that can be ingested directly into trading systems. By pairing Kalshi’s election contracts with DoubleZero’s delivery mechanism, the combined service bridges a critical gap: it supplies the high‑frequency, high‑resolution data that systematic traders need to build, test, and run predictive models on political outcomes. ## What data will be available? The feed includes the full depth of the order book for each of Kalshi’s election‑related contracts.

This means that for any given binary contract—such as “Democratic candidate wins Senate seat in Georgia” or “Republican candidate secures majority in the House”—traders will see every outstanding limit order at each price level, from the best bid and ask down to the deepest layers of liquidity. In addition to price and quantity, the feed provides timestamps, order‑type identifiers, and anonymized participant tags that help differentiate between market‑making activity and speculative demand. Historical snapshots are also available, allowing firms to back‑test strategies against past election cycles and calibrate their models to the unique dynamics of political markets.

## Benefits for institutional and automated traders 1. **Enhanced execution precision** – With full‑depth visibility, algorithmic strategies can more accurately gauge market impact before placing large orders, reducing slippage and improving fill rates. 2. **Improved risk management** – Real‑time depth data helps risk teams monitor exposure to specific political outcomes, adjust hedges on the fly, and set dynamic stop‑loss thresholds based on evolving liquidity.

3. **Model enrichment** – Quantitative researchers can integrate order‑book metrics—such as order‑flow imbalance, depth‑weighted average price, and liquidity concentration—into predictive models that forecast election results or price movements. 4. **Regulatory compliance** – Because Kalshi operates under the oversight of the Commodity Futures Trading Commission (CFTC), the data feed complies with reporting standards, giving compliance officers confidence that the information is both reliable and auditable.

## The broader context of political prediction markets Prediction markets have long been praised for their ability to aggregate dispersed information into a single price signal. In the realm of politics, these markets can reflect the collective wisdom of participants who are willing to stake capital on outcomes ranging from congressional seat flips to presidential approval ratings.

However, the niche nature of political contracts often leads to thin order books and sporadic liquidity, which in turn hampers price discovery. By making the full order‑book data publicly available through a high‑performance conduit like DoubleZero, Kalshi is effectively shining a light on the hidden layers of demand and supply that drive those markets.

Moreover, the midterm elections represent a particularly volatile period. Historically, political markets experience heightened activity as campaign events, debates, and polling releases inject fresh information. Traders who can react quickly to these news bursts stand to capture significant alpha. The new data feed ensures that they are not limited to the last traded price; instead, they can observe how market participants are adjusting their bids and offers in real time, offering a more nuanced view of sentiment shifts.

## Potential use cases - **Statistical arbitrage** – Firms can develop arbitrage strategies that exploit discrepancies between Kalshi’s contract prices and related securities, such as sector ETFs that are sensitive to political outcomes. - **Sentiment‑driven factor models** – By treating order‑book imbalance as a factor, portfolio managers can incorporate political risk into multi‑asset factor models, adjusting exposure to equities, commodities, or currencies accordingly.

- **Event‑driven trading** – Traders can program bots to trigger trades when the depth at a particular price level reaches a predefined threshold, indicating a sudden influx of capital into a specific outcome. - **Hedging for corporate exposure** – Companies with business lines vulnerable to regulatory changes can hedge against adverse election results by taking positions in Kalshi contracts, using the depth data to fine‑tune hedge ratios.

## Technical specifications The DoubleZero feed delivers data via a low‑latency TCP/IP socket using the FIX protocol, with optional support for WebSocket and REST endpoints for historical data retrieval. Latency is measured at sub‑10‑millisecond round‑trip times under typical network conditions, making it suitable for high‑frequency trading environments.

Data integrity is ensured through checksum verification and sequence numbering, while encryption (TLS 1.3) protects the transmission from interception. ## Looking ahead Kalshi’s decision to partner with DoubleZero signals a broader trend toward professionalization of political prediction markets. As more institutional capital flows into these contracts, the demand for robust, real‑time data will only increase.

Future enhancements may include deeper analytics, such as machine‑learning‑derived sentiment scores, and expanded coverage of international elections and policy‑specific events. In summary, the launch of Kalshi’s election data on the DoubleZero platform equips institutional and automated traders with the granular, high‑speed information they need to navigate the complex landscape of U.S.

midterm politics. By exposing the full depth of the order books, the integration not only improves execution and risk management but also enriches the analytical toolkit available to market participants. As the midterms approach, those who can best interpret and act upon this data are likely to gain a decisive edge in both speculative and hedging strategies.