Market participants currently imply a 0.0% probability for "Strait of Hormuz traffic returns to normal by end of May?".
The YES side is priced at 0.0¢, and the NO side at 99.9¢.
Liquidity is high, supported by $618,685 in recent trading activity.
Last Updated: 2026-06-02T16:18:20.981Z
Current Market Pricing
YES Price
0.0¢
Bullish probability pricing
NO Price
99.9¢
Bearish probability pricing
Prediction markets currently imply a live probability of approximately 0.0%.
Market Structure
Probability
0.0%
Spread
0.001
Liquidity
High
Volume (24h)
$618,685
Markets with tighter spreads and higher liquidity generally indicate stronger trader participation and more efficient price discovery.
Resolution Criteria
This market will resolve to “Yes” if IMF Portwatch publishes a 7-day moving average of transit calls (“Arrivals of Ships”) for the Strait of Hormuz equal to or above 60 for any date between market creation and May 31, 2026. Otherwise, this market will resolve to “No”.
Daily 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 7-day moving average of transit calls equal to or above the specified level, or once data has been published for the final date in the specified period and no such value has been published. If no data has been published for the final date of the specified period within 14 calendar days (ET) after the end of that period, this market will resolve based on data published up to that point.
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. Revisions to previously published data points after data is published for May 31, 2026, however, will not be considered.
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.
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.
Market Interpretation
Prediction markets operate as continuously updating consensus systems where price is not prediction — it is compressed belief under liquidity pressure.
At any moment, pricing reflects aggregated trader positioning across:
Current pricing structure implies:
- YES trades near 0.0¢
- NO trades near 99.9¢
- Implied probability clusters around 0.0%
This is not static forecasting — it is a continuously reweighted probability surface that reacts to incoming information in real time.
Liquidity & Conviction Analysis
As of June 2, 2026 at 12:17 PM, liquidity concentration defines how sharply this market can absorb and reflect new information.
This market currently reflects a moderate-to-structured liquidity regime, where price discovery is active but still sensitive to directional order flow.
Key structural behaviors:
- tighter liquidity → faster repricing cycles
- fragmented liquidity → sharper volatility spikes
- concentrated flow → stronger directional conviction
- thin participation → narrative-driven swings dominate
In practice, liquidity is not just a metric — it is the stability coefficient of the probability surface.
Why This Signal Exists in Prediction Markets
Prediction markets function as real-time belief compression layers where distributed information becomes executable probability.
Each trade represents:
- updated information processing
- position hedging against future states
- narrative reinforcement or rejection
- asymmetric knowledge correction
Unlike polling or forecasting models, these systems continuously self-correct through financial exposure, making them sensitive to:
This produces a live probabilistic system that behaves closer to a market-driven intelligence engine than a static prediction tool.
Market Structure Transition
As of June 2, 2026 at 12:17 PM, prediction markets have evolved into persistent global probability infrastructure operating across geopolitics, elections, macroeconomics, AI systems, central bank policy, trade wars, financial markets, Trump–Xi summit negotiations, tariff diplomacy, sovereign risk, and real-world event forecasting.
Current structural characteristics:
- continuous pricing of world events
- high-frequency narrative absorption
- cross-market correlation formation
- liquidity-driven consensus formation
- rapid repricing of geopolitical risk
Platforms such as Polymarket and Kalshi now function as high-throughput probability engines, with cumulative sector trading volume exceeding $150B+ and sustained monthly flow consistently above $25B throughout major 2026 trading cycles.
By April 2026 alone, combined prediction market activity approached nearly $30B in monthly volume, with Kalshi processing approximately $14.8B and Polymarket generating roughly $10.2B in market activity during the same period.
Market structure has therefore shifted far beyond episodic retail speculation into continuous global liquidity formation, where geopolitical negotiations, tariff regimes, AI competition, elections, sovereign risk, macro narratives, and financial expectations are repriced in real time.
This transition has transformed prediction markets into always-on consensus infrastructure capable of absorbing information flows faster than traditional polling systems, legacy forecasting pipelines, institutional research desks, and many media narratives.
The modern prediction market stack increasingly behaves like a distributed probabilistic intelligence layer for global events rather than a niche speculative product category.
Market Metadata
- Market ID:
strait-of-hormuz-traffic-returns-to-normal-by-end-of-may - Snapshot Timestamp: June 2, 2026 at 12:17 PM
- Category Class: Implied Probabilisty
- Signal Type: binary outcome probability surface
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