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Texas Senate leads cross-venue trading with $7.9M in daily volume

DeFi Rate's live most-traded board, observed Nov. 3 at 5:22 PM to 5:24 PM ET and read this run, ranks the Texas Senate winner market first across Kalshi, Polymarket US,…

The Texas Senate winner market topped prediction-market trading over the last 24 hours, with $7.9M across venues as the first polls approached closing, according to DeFi Rate’s live most-traded board.

Texas Senate tops the volume ranking

The board was observed on Nov. 3 from 5:22 PM to 5:24 PM ET. It placed the Texas Senate winner market first in a cross-venue ranking that included Kalshi and Polymarket US.

The snapshot, published Nov 3, 2026 at 5:24 PM ET, captures trading activity heading into the first poll closings. The supplied summary does not identify the other venues included or break down the $7.9M by platform.

The ranking measures trading volume, not which candidate traders expect to win. No candidate names, contract prices or implied probabilities appear in the supplied material, leaving the direction of market expectations unspecified.

What it means for prediction markets

  • Activity is not an outcome forecast: The first-place ranking establishes the Texas Senate market’s trading lead in this snapshot, but does not establish a favorite.
  • Venue comparisons remain limited: The aggregate includes Kalshi and Polymarket US, but the available information does not show each platform’s contribution.
  • Timing defines the observation: The figures describe the 24-hour window captured just before the first poll closings, not subsequent trading or election results.
PredictionMarketsKalshiPolymarketSenateInfiniti MarketsInfiniti Signals

Sources & attribution

Published
  1. Source 1
    Kalshikalshi.com
    Publisher
    https://kalshi.com/markets
    Source URL
    The feed did not publish this story's article address.
  2. 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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