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 the DoubleZero platform in the weeks leading up to the upcoming midterm elections. This development marks a significant step toward greater transparency and accessibility for professional market participants who rely on granular order‑book information to shape their trading strategies. The integration of Kalshi’s data feed into DoubleZero means that institutional investors, hedge funds, proprietary trading shops, and automated algorithmic systems can now tap into the full‑depth view of every bid and ask placed on political prediction contracts.
Rather than receiving only top‑of‑book snapshots or aggregated price levels, users will see the entire stack of orders at each price tier, allowing them to gauge market depth, liquidity concentration, and potential price impact with far more precision than was previously possible. Why this matters for the midterm cycle is twofold.
First, political outcomes—such as control of the House of Representatives, the Senate, and numerous gubernatorial races—have a direct bearing on fiscal policy, regulatory environments, and sector‑specific risk factors. Traders who can anticipate shifts in legislative balance often adjust exposure to industries that stand to benefit or suffer from new legislation. Second, the midterm period historically generates heightened volatility in both equity and bond markets, as investors reassess the political landscape and its implications for monetary policy and fiscal stimulus.
By having a real‑time, high‑resolution window into how market participants are betting on these outcomes, sophisticated traders can better position themselves ahead of price swings. The decision to partner with DoubleZero was driven by the platform’s reputation for delivering low‑latency, high‑integrity market data to professional users. DoubleZero’s infrastructure is built to handle massive data throughput while preserving the fidelity of each order entry, modification, and cancellation. For Kalshi, this means that its order‑book data—spanning contracts on Senate control, House majorities, swing‑state gubernatorial races, and even more niche propositions—will be broadcast with minimal delay, ensuring that traders can act on the most current information.
From a compliance perspective, the move also aligns with the broader regulatory push for greater data transparency in derivative and prediction‑market spaces. The Commodity Futures Trading Commission (CFTC) has emphasized the importance of robust market surveillance and data reporting for all regulated exchanges. By making its order‑book data publicly available through a vetted platform, Kalshi demonstrates adherence to these expectations and provides regulators with a richer dataset for monitoring market integrity.
Institutional participants stand to gain several concrete advantages. The ability to view the full depth of the order book enables the construction of more accurate models of supply and demand dynamics. For example, a trader can identify whether a large concentration of buy orders exists at a particular price level, suggesting strong support, or whether sell orders dominate, indicating potential resistance.
This insight can be fed into statistical arbitrage algorithms that seek to exploit short‑term mispricings between related contracts, such as a spread between Senate control and House control futures. Automated trading systems, which often execute thousands of orders per second, benefit from the deterministic nature of a deep order‑book feed. When an algorithm detects an imbalance—say, a sudden influx of sell orders at a price that previously held strong—it can automatically adjust its position, either by scaling back exposure or by initiating a hedging trade.
The latency reduction offered by DoubleZero’s infrastructure ensures that these decisions are made in near real‑time, preserving the edge that high‑frequency traders rely on. Beyond the immediate tactical benefits, the availability of comprehensive election data may also foster new product development.
Asset managers could design structured products or index funds that track a basket of political contracts, offering investors a novel way to gain exposure to electoral risk. Likewise, risk‑management teams can incorporate the deep order‑book data into scenario analyses, stress‑testing portfolios against a range of political outcomes with a higher degree of confidence. The broader market ecosystem is likely to feel the ripple effects as well. Retail platforms that aggregate public data may eventually surface the same depth information to a wider audience, democratizing access to what has traditionally been the domain of sophisticated players.
This could lead to increased participation in political prediction markets, higher liquidity, and tighter spreads, ultimately improving price discovery for all participants. In summary, Kalshi’s decision to stream its election‑related order‑book data through DoubleZero ahead of the U.S. midterms represents a meaningful upgrade in market transparency and data accessibility.
Institutional and algorithmic traders will now have the tools needed to dissect market depth, refine trading models, and respond swiftly to evolving political sentiment. The partnership also underscores a commitment to regulatory best practices and sets the stage for future innovations in the intersection of finance and political forecasting.
As the midterm elections approach, market participants who leverage this enriched data feed will be better positioned to navigate the heightened volatility and capitalize on the informational edge that deep order‑book visibility provides.