Kalshi Weekly Trading Volume Reaches $2.3 Billion
- Kalshi hits a record $2.3B weekly volume, surpassing Polymarket significantly.
- Driven by Solana tokenization and DeFi protocol integration.
- Highlights prediction market platform growth and blockchain use.
Kalshi, a CFTC-regulated platform, reached a record $2.3 billion in weekly trading volume in early October 2025, nearly doubling Polymarket’s volume in the same timeframe.
This surge underscores the growing influence of Solana-based tokenized contracts, with implications for liquidity and blockchain integrations across decentralized finance protocols.
Kalshi, a CFTC-regulated prediction market, recorded a $2.3 billion trading volume in early October 2025, nearly doubling Polymarket’s figures.
The record highlights Kalshi’s market impact and blockchain integration, prompting significant industry attention.
Kalshi Doubles Polymarket with $2.3B Weekly Volume
Kalshi’s record weekly volume of $2.3 billion nearly doubles Polymarket’s $1.2 billion. It results from Solana-based tokenized contracts and DeFi protocol integrations.
Under the leadership of John Wang, Kalshi has integrated blockchain innovations, focusing on Solana for liquidity. This initiative supports their prediction market platform expansion.
Solana Integration Boosts Predictive Market Volume
The surge in volume underscores Kalshi’s growing footprint in the prediction market sector. Solana’s involvement indicates pivotal changes in blockchain adoption.
Kalshi’s financial growth offers insights into prediction market dynamics. The funding round supports future tokenization and liquidity developments. John Wang, Head of Crypto, Kalshi, stated, “Solana access provides billions of dollars of liquidity,” enabling developer apps via “Kalshi Builder Codes.”
Kalshi’s Strategic Move: Solana Partnership and Expansion
Kalshi’s strategy contrasts with Polymarket’s post-2024 CFTC reentry, emphasizing blockchain integration. Solana partnerships mark key moments for liquidity expansion.
Kalshi’s rising volume parallels past industry trends, suggesting further market penetration. Data and historical trends imply sustained growth potential in prediction platforms.
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