Polymarket leads in volume while Kalshi lists more open questions
No significant new prediction-platform headline in the last 30 minutes; news search recirculated only items already used, held out or web-held today (the Polymarket…
The supplied snapshot, published Nov 1, 2026 · 9:54 AM ET, puts Polymarket ahead of Kalshi in volume but behind it in the number of open questions, according to Predictions.io.
Volume and question counts diverge
Polymarket accounts for $6.3B in volume across 2,932 open questions. Kalshi has $2.3B in volume across 6,455 open questions. The figures distinguish trading activity from the size of each platform’s question inventory.
Predictions.io also tracks 1,670 validated question matches between Polymarket and Kalshi. That count identifies a set of questions for cross-platform comparison, though the supplied material does not include individual contracts, prices or settlement terms.
The accompanying summary says no significant new prediction-platform headline emerged in the preceding 30 minutes. It describes search results as recirculating material already used or held back that day; no source links or full source text were provided.
What it means for prediction markets
- Volume and breadth point in different directions: Polymarket’s larger volume total does not translate into a larger inventory of open questions.
- Matched questions provide a comparison set: The 1,670 validated matches are relevant to cross-platform analysis, but the count alone does not establish price differences or identical settlement conditions.
- The snapshot has limits: Without contract-level details or a stated volume measurement period, these totals cannot establish current liquidity or changes in trading activity.
Sources & attribution
- Published
- Source 1
- Kalshikalshi.com
- Publisher
- https://kalshi.com/markets
- Source URL
- The feed did not publish this story's article address.
- Source 2
- Polymarketpolymarket.com
- Publisher
- https://polymarket.com
- 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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