TL;DR
- Kalshi recorded a weekly record of $2.3 billion, doubling Polymarket’s $1.2 billion, driven by its integration with TRON.
- Sports markets dominate the volume, with the contract predicting the next NFL champion surpassing $65.8 million.
- The platform’s growth is fueled by its hybrid on-chain/off-chain model and technological expansion into new networks.
Kalshi reached a weekly trading volume of $2.3 billion, significantly exceeding Polymarket’s $1.2 billion during the same period, marking the first time it surpassed $2 billion in a week. This surge coincided with the integration of the TRON network, enabling deposits and withdrawals in TRX and USDT on TRON, which facilitated higher trading activity.
According to Artemis data, Kalshi’s cumulative volume has surpassed $23.7 billion as of December 23. Sports markets remain the highest-volume sector: the contract predicting the next NFL champion has already exceeded $65.8 million. In comparison, political events generate far lower volumes.
Kalshi Ends Polymarket’s Reign
Kalshi’s growth in recent months has displaced Polymarket, historically the leader in trading volume. In November, both platforms set new monthly records: The platform processed over $1.1 billion in sports betting volume in just one week, compared with $51 million in political markets during the same period. Polymarket, by contrast, reported $357 million in sports markets.
The expansion of prediction markets highlights their exponential adoption, driven by events like the U.S. presidential elections and rising institutional and retail interest in real-time, data-driven betting. Kalshi has capitalized on this trend through multi-network accessibility and improved liquidity in its main markets.
This surge establishes Kalshi as the strongest competitor to Polymarket, with volumes that double its rival’s and an offering that spans sports, politics, and other sectors. The platform demonstrates that technological expansion and adaptation to new networks are key factors in capturing higher activity in the prediction market
