Talos Integrates Kalshi Prediction Markets Into Institutional Trading Infrastructure

Talos Integrates Kalshi Prediction Markets Into Institutional Trading Infrastructure

Talos, a provider of institutional digital asset infrastructure, technology and data supporting the full investment lifecycle, has announced an integration with Kalshi, the exchange, connecting institutional algorithmic trading, block trading and retail distribution to Kalshi's prediction and perpetual markets.

The integration allows select institutional clients to trade Kalshi's event contracts and crypto perpetuals through the same Talos interface already used for digital asset trading, without requiring a separate integration.

Prediction markets and US-onshore perpetuals are emerging as significant institutional markets, requiring institutional-grade tools to support participation. Kalshi's regulated clearing structure provides institutions with a framework similar to that used in traditional options and futures markets. Talos is launching two capabilities to bring this tooling to institutional workflows.

For on-exchange trading, clients such as market makers and hedge funds gain access to the Talos algorithmic trading suite, including Iceberg, Pegged, Sniper, TWAP and POV, designed to work orders while minimising market impact. Talos's multi-leg execution suite extends this to spread trading, allowing clients to construct perpetual-to-perpetual and perpetual-to-spot spreads within a single order, supporting basis and funding-rate arbitrage strategies as onshore perpetuals scale.

Talos intends to support prediction-market-to-perpetual multi-leg spreads in future.

In parallel, the Talos RFQ (request-for-quote) platform, the same system used by Talos's exchange-traded fund issuer clients for create/redeem workflows, will provide a block trading interface for trading large sizes off-exchange, connecting to Talos's network of over-the-counter liquidity providers.

Andy Ross, Head of Institutional, Kalshi

Andy Ross @AndyRoss, Head of Institutional, Kalshi said:

"As institutional interest in prediction markets accelerates, Kalshi's regulatory standing as a CFTC-regulated exchange makes it a natural venue for that demand. Working with Talos gives our institutional buy-side and sell-side participants a path to Kalshi that fits inside the infrastructure they already run."

Anton Katz, Chief Executive Officer and Co-founder, Talos commented:

"Kalshi has established a regulated structure to unlock US institutional participation in perpetuals and prediction markets. Trading is moving to 24/7, prediction use cases are growing rapidly, and every asset class is migrating to digital rails. We believe these trends will fundamentally change how risk is priced, hedged and settled across the market, and Talos is building for that future."

Cantor, the global investment bank within the Cantor Fitzgerald group of companies, advised Talos on aspects of the build-out of its institutional prediction markets functionality.

Matt DeCicco, Managing Director,

Head of Digital Assets for Global Markets, Cantor

Matt DeCicco, Managing Director, Head of Digital Assets for Global Markets, Cantor said:

"Prediction markets are emerging into a credible institutional asset class, and firms that engage early will help shape the market structure, liquidity and execution standards that underpin its growth. Cantor looks forward to working closely with Talos to advance institutional access to prediction markets."

Beyond institutional trading, Talos plans to extend its dealer software solution, enabling brokers and trading platforms to offer Kalshi event contracts directly to their own end customers, depending on jurisdiction, later this year.

Talos also plans to offer a harmonised market data feed across prediction market venues, unifying events, trades, order books, open interest and implied probabilities under a single schema. Since venues represent binary outcomes differently, including Kalshi's single market with two sides against other venues' separate outcome tokens, comparing data across platforms currently typically requires reconciling formats. Talos's prediction markets data will be delivered through the same API clients already use for crypto market data, with Kalshi anticipated to be among the first venues supported.

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