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U.S.-Iran Deal Odds Fall Sharply on Kalshi as Strait of Hormuz Reopening Expectations Slide

U.S.-Iran Deal Odds Fall Sharply on Kalshi as Strait of Hormuz Reopening Expectations Slide

Kalshi (U.S. event prediction market) traders cut the implied probability of a U.S.-Iran deal by the end of June to 27%, while the chance of the Strait of Hormuz reopening fell to 22%.

Fact Check
The specific numbers (27% US-Iran deal by end-June, 22% Strait of Hormuz reopening) match the X post by @DeItaone exactly, and the 22% figure is corroborated by the MSN/Seeking Alpha report dated May 6, 2026, citing Kalshi. So the claim accurately reports a real Kalshi snapshot. However, by May 24, 2026 (per Octagon AI), markets repriced sharply upward on US-Iran deal reports — 'Before Jul 1, 2026' surged to 54%. As of collected_at June 2, 2026, the cited figures are likely stale, making the framing 'fall sharply' misleading relative to current odds. The underlying historical data point is true; the implied current state is not.
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Summary

Market-based expectations for a near-term U.S.-Iran agreement have dropped sharply, according to pricing on Kalshi (U.S. event prediction market). The implied probability of a deal by the end of June fell from above 75% to 27%. Traders also priced the chance of the Strait of Hormuz reopening at 22%, while assigning only a 52% probability that shipping traffic returns to normal before October 2026. Prediction markets reflect participant expectations rather than confirmed outcomes, but they are often watched as a real-time gauge of geopolitical risk that can affect oil flows, inflation expectations, and broader risk sentiment across financial and digital asset markets.

Terms & Concepts
  • Kalshi: A regulated event prediction market where traders buy contracts tied to the outcome of real-world events.
  • Implied probability: The probability inferred from market prices, commonly used to show how traders collectively assess the odds of an event.
  • Strait of Hormuz: A strategically important shipping route for global energy supplies, making disruptions there highly relevant to market risk.