0 ships transit Hormuz on any date by..?

根據「0 ships transit Hormuz on any date by..?」的最新預測市場資料，交易者已形成強烈共識。

目前，October 31 以壓倒性的 31.5% 獲勝機率主導市場；September 30 以 17% 位居第二。該市場的下注量已達 $840.2K，反映出市場的高度關注。

為了更好地評估各潛在結果的位置，可依據隱含機率與合約定價將市場劃分為三個明顯的交易梯隊：

🥇 第一梯隊：絕對領跑者

• October 31 (31.5%)：October 31 目前擁有最高機率，深受訂單簿青睞。看好該結果的交易者面對的「Buy Yes」合約價為 32¢，顯示出市場的高度確信。僅該合約就已產生 $1.1K 的成交量。

🥈 第二梯隊：主要挑戰者

• September 30 (17%)：作為最可行的替代選項，September 30 保持著 17% 的成真機率，其「Buy Yes」份額目前成交價為 17¢。

This market will resolve to “Yes” if IMF PortWatch publishes a daily number of transit calls (“Arrivals of Ships”) for the Strait of Hormuz equal to 0 for any date between June 26 and the specified date, 2026. Otherwise, this market will resolve to “No."

Transit calls include container, dry bulk, roll-on/roll-off, general cargo, and tanker ships. Ships not reported by IMF PortWatch will not be considered.

This market will resolve as soon as IMF PortWatch publishes a daily number of transit calls equal to 0, or once complete data has been published for the specified period without such a publication. If complete data for the specified period has not been published within 28 calendar days of the end of the specified period, this market will resolve based on data published up to that point.

In case of obvious data integrity issues (i.e., erroneous data), the market may remain open until the end of the third calendar day (ET) after the date on which such data is first released to allow for corrections. Data integrity issues refer only to clerical or other similar errors in the underlying data, and do not include cases where IMF PortWatch differs from alternative sources. Revisions to previously published data points made within this market’s timeframe will be considered. However, they will not disqualify a previously published data point from qualifying except in the case of data integrity issues.

The resolution source for this market will be IMF PortWatch, specifically the transit calls data published for the Strait of Hormuz at https://portwatch.imf.org/pages/cb5856222a5b4105adc6ee7e880a1730, both in the chart and through downloadable files.

人群共識與投機成交塑造了更宏觀的預測市場，而我們的量化演算法提供了資料驅動的反向視角。透過分析基本面訊號、底層趨勢與歷史分布，我們的 AI 估值模型為每個結果獨立測算出一個「公允價值」機率。

將該公允價值與當前交易價值對比，可揭示出重大背離——即期望值（EV）差。正 EV 差代表統計上被低估的結果，而負 EV 差則提示市場可能存在反應過度。

頂級 AI Alpha 與錯誤定價套利機會

根據最新一輪資料模型測算，以下幾個關鍵合約存在顯著偏離：

• 最佳價值標的（最高 EV）：我們的模型將 October 31 識別為盤面上最具價值的機會。市場僅給予其 31.5% 的交易機率，而我們 AI 的公允價值評估為 34.4%——形成可觀的 +2.9% EV 差。
• 被忽視的黑馬：其他值得注意的偏離包括 September 30（EV 差：+2.5%）。儘管我們的預測模型給予更強的統計支撐，這些長尾機會仍被即時訂單簿大幅低估。