Prediction Markets platform Kalshi has signed another agreement improving its product offering in which Kalshi supplies the underlying market data, while DoubleZero handles transport and distribution across its dedicated network.

Kalshi, the regulated U.S. prediction market operator, is folding DoubleZero into its order-book infrastructure in a move designed to close the speed gap between crypto-native trading venues and the ultra-low-latency networks long used by traditional exchanges. The new offering, branded DoubleZeroEdge, will stream live exchange and onchain data over dedicated fiber connections built specifically for professional trading desks. It marks one of the clearer signals yet that prediction markets are being engineered less like retail betting apps and more like institutional-grade financial infrastructure, complete with the specialized data plumbing that quant funds and market makers expect.

Closing the Latency Gap Between Crypto and Wall Street

For decades, traditional exchanges have built their businesses around the assumption that speed is a tradable asset in its own right. Firms on the New York Stock Exchange or CME co-locate servers next to matching engines and lease private lines precisely because a few milliseconds of advantage can determine whether a trade captures a price or misses it entirely. Crypto and prediction markets, by contrast, have largely run on the open internet — a network never designed with trading-grade determinism in mind, where congestion, routing hops, and public infrastructure introduce delay that professional desks in equities or futures would consider unacceptable.

DoubleZero was built to address exactly that mismatch. According to the DoubleZero Foundation, the new service will give traders a machine-readable view of Kalshi's markets, with data routed through Solana's infrastructure and distributed simultaneously to all connected participants over dedicated fiber rather than shared public bandwidth. That "publish once, deliver to everyone at once" design is meant to prevent the kind of uneven access that can let a single well-connected trader see prices before the rest of the market does.

What DoubleZeroEdge Actually Delivers

The core of the partnership is a live data feed combining Kalshi's exchange-side order book with onchain information, packaged for consumption by trading algorithms rather than human dashboards. That distinction matters. A machine-readable feed can be piped directly into pricing models, hedging engines, and automated signal generators without the delay and error introduced by parsing a website or a delayed API call. For quantitative trading firms — the audience this integration is explicitly courting — that difference between "readable by a person" and "readable by a machine" is often the line between a viable strategy and an unworkable one.

Why Milliseconds Matter in Prediction Markets

Prediction markets price the probability of real-world outcomes — inflation prints, Federal Reserve rate decisions, geopolitical flashpoints, election results, and asset-price thresholds. What sets these contracts apart from most other tradable instruments is how abruptly their value can move: a single data release or headline can reprice a contract within milliseconds, as new information forces the market to instantly recalculate the odds of the underlying event.

That volatility profile is precisely what draws professional trading firms toward faster infrastructure. Desks that build strategies around scheduled economic releases — jobs reports, CPI prints, FOMC statements — need to see and react to price changes before the broader market has fully digested the news. A feed that shaves even a few milliseconds off data delivery can be the difference between capturing a mispricing and trading into a price that has already adjusted. By giving these firms a dedicated, low-latency channel into its order book, Kalshi is effectively inviting the same class of participant that has long dominated futures and options markets to bring its playbook into prediction markets.

Rollout: What Traders Get First

The initial rollout will be selective rather than exchange-wide. Kalshi plans to route its most actively traded contracts through the DoubleZeroEdge feed first, a category that includes crypto perpetual futures alongside other high-volume markets. That sequencing makes sense from an infrastructure standpoint: the contracts drawing the deepest liquidity and the most professional order flow are also the ones where latency advantages compound fastest, making them the natural proving ground before any broader expansion across Kalshi's contract catalog.

Under the arrangement, the two companies are dividing responsibilities along clear lines: Kalshi supplies the underlying market data, while DoubleZero handles transport and distribution across its dedicated network. The result, both companies say, is meant to give traders a single, unified channel into Kalshi's markets rather than forcing firms to stitch together their own data pipelines from public sources.

The Bigger Picture: Prediction Markets Grow Up

This integration is best read as part of a broader maturation story. Prediction markets began largely as novelty products for retail speculation on election outcomes and cultural events. Over the past two years, regulated platforms like Kalshi have pushed hard to reposition themselves as legitimate financial venues — adding surveillance technology to monitor for manipulation, expanding contract listings into macroeconomic and crypto-linked outcomes, and now building the kind of specialized data infrastructure that institutional trading desks require before they will commit serious capital. Each of those moves mirrors a step traditional exchanges took decades ago on their own path from open-outcry trading floors to fully electronic, latency-sensitive markets.

For DoubleZero, the deal extends its infrastructure ambitions beyond pure crypto trading into a new, fast-growing asset class. The company has already positioned its network as a low-latency backbone for blockchain-adjacent markets more broadly; adding Kalshi's prediction contracts to that pipeline signals confidence that prediction markets are becoming liquid and institutionally relevant enough to justify the same infrastructure investment as spot and derivatives crypto trading.

What to Watch

Several open questions will determine how meaningfully this reshapes the competitive landscape. It remains to be seen how quickly Kalshi expands DoubleZeroEdge coverage beyond its initial slate of high-volume contracts, and whether rival prediction market operators respond with comparable low-latency offerings of their own. There is also the broader question of access: infrastructure built for institutional-grade speed tends, by nature, to widen the gap between well-resourced trading firms and smaller or retail participants — a dynamic long familiar in equities and futures markets that prediction markets may now begin to inherit as they professionalize. Traders and observers will also want to watch how the feed performs under real stress, particularly around high-volatility events like Fed announcements, when data demand spikes hardest.