PREDICTION ODDS TERMINAL NODE

Will 50-74 ships transit the Strait of Hormuz between May 25-June 1?

"Will 50-74 ships transit the Strait of Hormuz between May 25-June 1?" is actively being traded as a real-time probabilistic narrative across prediction markets. YES contracts currently trade at 0.2¢, while NO contracts trade at 98.5¢, producing an implied market probability of 0.2%. Current liquidity conditions are medium, with roughly $11,159 exchanged over the last 24 hours.

Δ June 2, 2026
polymarketforecasting-marketscrowd-forecastingregime-shiftsvolatility-marketsotherprediction-oddspolymarketforecasting-marketscrowd-forecastingregime-shiftsvolatility-marketsotherprediction-odds
Probability
0.2%
YES Price
0.2¢
NO Price
98.5¢
24H Volume
11,159
market activity
Liquidity
Medium
conviction field
Spread
bid-ask distance

"Will 50-74 ships transit the Strait of Hormuz between May 25-June 1?" is actively being traded as a real-time probabilistic narrative across prediction markets.

YES contracts currently trade at 0.2¢, while NO contracts trade at 98.5¢, producing an implied market probability of 0.2%.

Current liquidity conditions are medium, with roughly $11,159 exchanged over the last 24 hours.

Last Updated: 2026-06-02T16:18:20.990Z

Current Market Pricing

YES Price

0.2¢

Bullish probability pricing

NO Price

98.5¢

Bearish probability pricing

Prediction markets currently imply a live probability of approximately 0.2%.

Market Structure

Probability

0.2%

Spread

0.013

Liquidity

Medium

Volume (24h)

$11,159

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 finalized total number of transit calls that IMF Portwatch reports for the Strait of Hormuz for all days from May 25, 2026, through June 1, 2026, inclusive.

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.

Data for a specific date must be finalized before it is considered for this market (namely, once the next date's data point is available, the previous one is finalized).

This market will resolve as soon as data has been finalized for the final date in the specified period. If the data for the final date of the specified period has not been finalized by the end of the third calendar day (ET) after the day on which data is released for the final date in that period, this market will resolve based on data published up to that point. Additionally, if data has not been released for any day in the specified period within 14 calendar days of the end of that 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 data is released for the final date in the specified period 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.

Only revisions to previously published data points made before the applicable resolution time will 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:

macro signalsevent riskflow positioningnarrative shift

Current pricing structure implies:

  • YES trades near 0.2¢
  • NO trades near 98.5¢
  • Implied probability clusters around 0.2%

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.

liquidity depthsignal stability

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
signal compression

Unlike polling or forecasting models, these systems continuously self-correct through financial exposure, making them sensitive to:

regime shifts in geopoliticsinstitutional order flow and positioningmacroeconomic shocks and policy changenarrative acceleration or decayliquidity-driven sentiment swingsinformation asymmetry correction

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.

global structuresystem evolution

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-50-74-ships-transit-the-strait-of-hormuz-between-may-25-june-1
  • Snapshot Timestamp: June 2, 2026 at 12:17 PM
  • Category Class: Implied Probabilisty
  • Signal Type: binary outcome probability surface

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EXIT NODE SEQUENCE
Consensus locked
Narrative stabilized
Regime state compressed
Shock layer dormant
Liquidity field normalized
END OF MARKET SIGNAL STREAM

MARKET NEIGHBORHOOD

INTELLIGENCE SURFACES