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406,019
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Closed: Jun 18, 10:05 AM EST
Kalshi
These markets track whether the full text of a US-Iran memorandum of understanding negotiated in June 2026 will be officially released to the public by various dates. Official release means the document is made available through legitimate government channels or authorized distribution methods, excluding leaked or unauthorized disclosures.
Resolution requires that the complete text of the June 2026 US-Iran memorandum of understanding be officially released through legitimate public channels accessible to the general population. Leaked or unauthorized disclosures do not qualify. Each market corresponds to a specific deadline: June 17, June 19, June 20, or July 1, 2026. A market resolves Yes if the full text has been publicly released through at least one official distribution channel by its respective deadline. Official channels include government websites, press releases from authorized representatives, or other formally sanctioned distribution methods. The requirement for 'full text' means substantially complete versions of the agreement; redacted or heavily censored versions may not satisfy this criterion depending on the extent of redactions. Partial summaries or excerpts do not constitute official release of the full text. All markets use the same standard for what constitutes official release, with only the deadline dates differentiating them.
Prediction market odds often diverge from traditional analyst forecasts because traders are directly incentivized by financial gain, whereas analysts may rely on institutional models or public statements. In this market, traders are pricing in real-time reactions to diplomatic signals, media reports, and political developments surrounding US-Iran negotiations. Analysts, by contrast, may anchor to historical precedent or official timelines that traders have already discounted. Markets tend to move faster and incorporate a broader range of participant views, making them a useful complement to expert opinion when evaluating the likelihood of the MoU text becoming public.
On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing "Yes" or "No" outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective probability traders assign to the full MoU text being officially released by the resolution date. As new information surfaces—such as diplomatic announcements, congressional statements, or media leaks—traders adjust their positions, moving the price up or down. This continuous repricing ensures the market reflects the latest available evidence and trader conviction about whether the document will reach public disclosure.
This market resolves around Jan 1, 2027, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on whether the full text of the US-Iran MoU has been officially released by that date. Official release means the document is made publicly available through government channels, international organizations, or credible news sources that have obtained and authenticated it. Until that threshold is met, the market remains open to trading, allowing participants to adjust their positions as developments unfold.
Several catalysts could shift odds significantly in this market. Direct announcements from US or Iranian officials about releasing the MoU would likely spike prices sharply. Congressional hearings, Freedom of Information Act requests, or leaked excerpts could also move sentiment. Diplomatic breakthroughs or breakdowns in US-Iran relations may alter trader expectations about transparency. Media investigations uncovering details of the agreement could increase perceived likelihood of full disclosure. Conversely, political opposition to release, legal challenges, or statements from officials denying plans to publish could push prices lower. Each development provides new information that traders incorporate into their probability estimates.