Prediction Markets Surge as Kalshi Sets October Records
Prediction markets expanded sharply ahead of the US midterm elections. Kalshi and Polymarket recorded a combined $53 billion in trading volume in July, more than double May’s $26 billion, with sports markets accounting for most activity. Political markets were smaller: Polymarket averaged about $2 billion in monthly political volume this year, compared with less than $300 million for Kalshi. By July, House and Senate control contracts had attracted more than $30 million in trading.
The latest figures show further growth in October. Kalshi reported about $65 billion in volume, 10% above its September record, while Polymarket US reached $10 billion, up roughly 15% from its previous monthly high. Open interest also set records at $2.05 billion for Kalshi and $384 million for Polymarket US. Kalshi represented nearly 83% of combined volume across Kalshi and the two Polymarket platforms, while US-regulated venues accounted for 95.6% of activity in that comparison. Robinhood’s prediction-market business generated $173 million in third-quarter revenue, more than its $120 million in crypto-trading revenue.
Regulatory and product developments have supported the sector’s expansion: the CFTC withdrew a proposal that could have classified election contracts as gambling and later proposed a framework that would not automatically treat them that way. Kalshi also launched a Midterms Hub showing market-implied probabilities alongside polling averages. Sports remain a major source of activity, and the midterms will test demand for political contracts. For crypto traders, the rise of prediction markets is notable, but it does not demonstrate a shift away from crypto spot trading or signal a direct effect on cryptocurrency prices.
Neutral
The reported records concern prediction-market platforms, not cryptocurrency prices or trading volumes. Neither summary identifies a direct catalyst for any specific crypto asset, and the growth of event contracts alone does not show that traders are moving funds out of crypto markets. In the short term, election-related headlines could affect sentiment or attention, but any effect on crypto prices would likely depend on separate factors such as macroeconomic conditions, regulatory news, liquidity and broader risk appetite. Over the longer term, prediction markets may compete for some retail attention and trading activity, but the available figures do not establish material substitution for crypto spot trading. With no clear directional price signal or asset-specific data, the expected impact on cryptocurrency prices is neutral.