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Infiniti Intelligence Hourly Briefing — Oct 31, 2026 · 9:30 AM ET

1 story in this edition: Bitcoin claims 69 percent of short-term contract volume on Kalshi

Bitcoin claims 69 percent of short-term contract volume on Kalshi

Kalshi lists 30 fifteen-minute series with 20 trading as of October 31 at 7:29 AM ET, and Bitcoin windows drew 325.2 million contracts over the last day of windows. Crypto series settle on CF Benchmarks 60-second averages, while metals, energy and currency series settle on Pyth.

Bitcoin represented 69 percent of contracts across Kalshi’s 15-minute markets, according to PredictionMarketPicks. Its Bitcoin windows attracted 325.2 million contracts over the last day of windows, making the cryptocurrency the dominant source of activity in that segment.

Listings and trading activity

PredictionMarketPicks reported that Kalshi listed 30 fifteen-minute series, with 20 trading as of October 31 at 7:29 AM ET. The report was published on Oct 31, 2026, at 9:30 AM ET.

The figures distinguish the number of listed series from those trading at the observation time. They also show that contract activity was concentrated in Bitcoin, rather than evenly distributed across the available markets.

Different settlement references

According to PredictionMarketPicks, the crypto series settle using CF Benchmarks 60-second averages. Metals, energy and currency series instead use Pyth for settlement, giving those markets a different reference source from their crypto counterparts.

What it means for prediction markets

  • Bitcoin dominates contract activity: Its 69 percent share makes it central to understanding trading across Kalshi’s 15-minute markets.
  • Listings do not equal trading series: The snapshot showed 20 series trading out of 30 listed; those counts describe different aspects of market availability.
  • Settlement methodology matters: Crypto outcomes use CF Benchmarks 60-second averages, while metals, energy and currency outcomes rely on Pyth. Readers evaluating these contracts should distinguish between those references.

Sources & attribution

Published
  1. Source
    PredictionMarketPicks
    Publisher
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