Kalshi Brings Fully On-Chain Prediction Markets to Solana in Major Expansion

Kalshi has taken a significant step in the prediction market space by launching fully tokenized event contracts on the Solana blockchain, positioning itself as a stronger rival to Polymarket. The move transforms Kalshi’s traditional event contracts into Solana-based tokens, enabling users to trade directly through blockchain wallets with greater speed, lower fees, and enhanced privacy. This shift also removes friction points such as account creation and verification checks, allowing broader access while preserving Kalshi’s federally regulated structure.

By leveraging Solana’s fast transaction speeds and low-cost infrastructure, Kalshi aims to support the high-volume activity required in event-based trading. Industry growth has been rapid, with prediction market volumes reaching nearly $28 billion through October, and weekly trading hitting new highs as interest in political, economic, and cultural forecasting increases. As activity rises, so does the need for deeper liquidity to maintain accurate pricing across Kalshi’s more than 3,500 listed markets.

To strengthen institutional access, decentralized finance protocols like DFlow and Jupiter will integrate with Kalshi by connecting their systems to the platform’s off-chain orderbook. This creates a bridge between Kalshi’s regulated trading environment and Solana’s open liquidity, offering users tighter spreads and more responsive pricing. Kalshi’s leadership notes that crypto-native traders are a key driver of liquidity and growth, making on-chain expansion essential for scaling the platform’s long-term roadmap.

Although the company is currently facing a lawsuit alleging market manipulation, Kalshi maintains that tokenization will improve transparency, market efficiency, and competitiveness, especially against on-chain-native platforms like Polymarket. Looking ahead, Kalshi plans to bring tokenized markets to additional blockchains, expecting on-chain prediction trading to become a standard model across the industry.