Will there be between 40 and 60 average daily transits of the Strait of Hormuz on May 31?

Polymarket traders currently assign a 3.0% probability to "Will there be between 40 and 60 average daily transits of the Strait of Hormuz on May 31?".

The market is pricing YES at 3.0¢ and NO at 95.1¢, reflecting current trader consensus.

Liquidity conditions are low, with approximately $4,081 in 24-hour trading activity.

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 function as real-time consensus engines.

Traders continuously buy and sell outcome shares based on:

• breaking news
• macro developments
• public narratives
• institutional positioning
• probability reassessments

As a result, market pricing reflects aggregate trader expectations rather than static forecasts or polling systems.

At the current pricing structure:

• YES trades near 3.0¢
• NO trades near 95.1¢
• Implied probability sits near 3.0%

These probabilities may shift rapidly as new information enters the market.

Liquidity & Conviction Analysis

As of May 12, 2026 at 09:29 AM, liquidity conditions act as a primary structural filter on prediction market signal quality.

Medium liquidity conviction suggests moderate participation depth, where price discovery is active but not fully saturated by institutional or high-frequency flow.

Higher liquidity environments typically produce:

• tighter spreads
• faster price discovery
• stronger informational efficiency
• lower pricing instability

Lower liquidity environments tend to exhibit:

• wider spreads
• delayed consensus formation
• increased volatility from isolated trades
• weaker signal reliability in short time windows

Overall, liquidity acts as a direct proxy for how “stable” the implied probability surface is at any given moment.

Why This Signal Exists in Prediction Markets

Prediction markets function as continuous consensus engines where probability is not stated — it is priced.

Each trade updates a live belief distribution, turning scattered human judgment into a single evolving likelihood curve.

Compared to static polling or narrative reporting, this structure adapts instantly to:

• regime shifts in geopolitics
• macroeconomic shocks and policy changes
• institutional order flow and positioning
• narrative acceleration or decay
• liquidity-driven sentiment swings
• information asymmetry correction

In practice, these markets behave less like betting tools and more like real-time probabilistic sensors for world events.

They compress collective intelligence into a dynamic signal that updates with every transaction.

Market Structure Transition

As of May 12, 2026 at 09:29 AM, prediction markets have evolved into persistent global probability infrastructure.

Polymarket and Kalshi now operate as high-throughput probability engines, with cumulative volumes exceeding $150B+ and sustained monthly flow above $7B.

Market activity has shifted from episodic speculation toward continuous liquidity formation, where geopolitical events, macroeconomic narratives, elections, AI milestones, and financial expectations are constantly repriced in real time.

This transformation has turned prediction markets into always-on consensus surfaces capable of reflecting crowd intelligence faster than traditional media, polling systems, or institutional forecasting pipelines.