Talos has integrated Kalshi into its institutional trading platform, allowing hedge funds, market makers and professional trading firms to access prediction markets and US-regulated crypto perpetual futures through existing digital asset infrastructure. The integration enables eligible Talos clients to trade Kalshi's event contracts and perpetual futures without building separate technology connections, while gaining access to institutional execution tools including algorithmic trading, multi-leg strategies and block trading functionality. The partnership marks another step in the institutionalization of prediction markets, which until recently were viewed largely as niche retail products.
Talos Extends Algorithmic Execution Suite to Kalshi
Talos is extending its algorithmic execution suite to Kalshi, allowing institutional clients to execute strategies using Iceberg, Pegged, Sniper, Time-Weighted Average Price and Percentage of Volume algorithms. These tools are designed to help traders execute larger orders while minimizing market impact and reducing information leakage. The company is also introducing multi-leg execution capabilities that allow traders to construct perpetual-to-perpetual and perpetual-to-spot spreads within a single order. These strategies support basis trading and funding-rate arbitrage, two approaches widely used across crypto derivatives markets. Andy Ross, Head of Institutional at 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."
Talos Introduces RFQ Platform for Prediction Markets
Talos is extending its request-for-quote platform to prediction markets. The RFQ system, already used by ETF issuers during creation and redemption workflows, allows institutional participants to negotiate large transactions away from public order books by connecting directly with over-the-counter liquidity providers. Large trades executed directly on an exchange can significantly move market prices, particularly in newer asset classes where liquidity remains relatively limited. RFQ systems allow institutions to source liquidity more efficiently while reducing execution costs.
Talos Plans Harmonized Market Data Feed Across Venues
Talos plans to launch a harmonized market data feed spanning multiple prediction market venues. The unified feed will aggregate trades, order books, implied probabilities and open interest under a standardized schema, allowing trading firms to analyze multiple venues using consistent data structures. Talos plans to deliver prediction market data through the same API institutional clients already use for crypto market data. Today, prediction platforms often represent contracts differently, with some exchanges listing a single market with two opposing outcomes while others tokenize each possible result separately.
Cantor Advises Talos on Institutional Prediction Markets Build-Out
The investment bank Cantor advised Talos on aspects of the build-out of its institutional prediction markets functionality. Matt DeCicco, Managing Director and Head of Digital Assets for Global Markets at 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."
Talos Plans Dealer Software Extension for Retail Distribution
Talos plans to extend its dealer software later this year, enabling brokers and trading platforms to distribute Kalshi event contracts directly to their own retail customers where regulations permit. The platform already connects clients to exchanges, over-the-counter desks, custodians, prime brokers and lenders through a single interface. Anton Katz, CEO and Co-founder of Talos, said: "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."
FAQ
What did Talos integrate into its institutional trading platform?
Talos integrated Kalshi into its institutional trading platform, allowing hedge funds, market makers and professional trading firms to access prediction markets and US-regulated crypto perpetual futures through existing digital asset infrastructure.
What algorithmic trading tools does Talos provide for Kalshi?
Talos is extending its algorithmic execution suite to Kalshi, including Iceberg, Pegged, Sniper, Time-Weighted Average Price and Percentage of Volume algorithms, designed to help traders execute larger orders while minimizing market impact.
What role did Cantor play in the Talos-Kalshi integration?
The investment bank Cantor advised Talos on aspects of the build-out of its institutional prediction markets functionality, highlighting growing interest among traditional financial institutions in prediction markets as an emerging asset class.
