Sports prediction trading rises 14% as Kalshi volume reaches $259M
DeFi Rate's sports board, read this run with prices observed between 9:46 PM ET on Nov. 4 and 1:50 AM ET on Nov. 5, puts sports trading at $484M across Kalshi,…
Sports prediction markets recorded $484M in trading over 24 hours, a 14% increase, according to DeFi Rate. Kalshi accounted for $259M of the reported volume.
Reported open interest stood at $575M. That measure is distinct from trading volume: it tracks outstanding positions rather than turnover during the reporting period.
A snapshot spanning two dates
DeFi Rate’s sports board was read using prices observed between 9:46 PM ET on Nov. 4 and 1:50 AM ET on Nov. 5. The update was published on Nov 5, 2026, at 1:54 AM ET.
The available summary does not provide a breakdown of the remaining trading volume or identify which sports or contracts drove the increase. Its figures describe aggregate activity, not changes in the implied probability of any particular outcome.
What it means for prediction markets
- Kalshi represented more than half of reported turnover: Its $259M contribution places it above half of the $484M total, though the available material does not detail other venues.
- Volume and positioning offer different signals: The 14% rise describes trading activity; the $575M open-interest figure measures outstanding positions. Neither alone establishes the direction of market expectations.
- Observation times matter: The prices were captured across a window spanning Nov. 4 and Nov. 5, rather than at one simultaneous timestamp.
Sources & attribution
- Published
- Source
- Kalshikalshi.com
- Publisher
- https://kalshi.com/markets
- Source URL
- The feed did not publish this story's article address.
Full attribution under the Digital Millennium Copyright Act (DMCA), 17 U.S.C. § 512: this article is an original report by Infiniti Intelligence that summarizes the reporting of the publishers named above, links to their original work, and reproduces no protected expression beyond brief factual reference and in-line attribution (“according to Kalshi”). All rights in the underlying reporting remain with the publishers listed; nothing here implies endorsement by or affiliation with them. Rights holders may request correction, update or removal through the contact address published at infiniti.w3ai.io.
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