Prediction market positioning around "Will there be between 0 and 10 average daily transits of the Strait of Hormuz on May 31?" currently implies a 99.8% probability outcome.
YES shares trade at 99.8¢, while NO shares trade at 0.1¢, signaling the market's current directional consensus.
The market currently maintains medium liquidity conditions alongside approximately $33,488 in recent trading volume.
Last Updated: 2026-06-02T16:18:20.986Z
Current Market Pricing
YES Price
99.8¢
Bullish probability pricing
NO Price
0.1¢
Bearish probability pricing
Prediction markets currently imply a live probability of approximately 99.8%.
Market Structure
Probability
99.8%
Spread
0.001
Liquidity
Medium
Volume (24h)
$33,488
Markets with tighter spreads and higher liquidity generally indicate stronger trader participation and more efficient price discovery.
Resolution Criteria
This market will resolve according to the 7-day moving average of transit calls (“Arrivals of Ships”) for the Strait of Hormuz that IMF Portwatch reports for May 31, 2026.
If the reported value falls exactly between two brackets, this market will resolve to the higher range bracket.
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 data for the specified date has been published. If no data for the specified date has been published by June 14, 2026, 11:59 PM ET, this market will resolve based on data for the most recent date prior to May 31, 2026, for which data is available.
This market will resolve based on the first publication of data for May 31, 2026. Any subsequent revisions will not be considered.
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 99.8¢
- NO trades near 0.1¢
- Implied probability clusters around 99.8%
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:
will-there-be-between-0-and-10-average-daily-transits-of-the-strait-of-hormuz-on-may-31-942 - Snapshot Timestamp: June 2, 2026 at 12:17 PM
- Category Class: Implied Probabilisty
- Signal Type: binary outcome probability surface
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