Strait of Hormuz traffic returns to normal by December 31?

Platform comparison

Market context

Normal shipping traffic through the Strait of Hormuz hinges on whether the 7-day moving average of daily transit calls reaches 60 ships before the end of 2026, a threshold that would signal a return to routine operations for this critical oil corridor. The Strait remains under intense scrutiny as geopolitical tensions and recent obstructions have disrupted the flow of container, tanker, and bulk vessels, with Iran reportedly permitting passage only via a limited controlled route while charging fees of around $2 million per ship[4].

Historical precedents suggest that such sharp declines in maritime traffic often persist for months unless a decisive diplomatic breakthrough occurs, making the current 58% crowd-implied probability for a December 31 resolution appear cautiously optimistic. Comparable cases of waterway disruptions in the region show that sustained upticks in transit calls are rare without explicit state-level declarations or international pressure, meaning the market is likely leaning on the possibility of a negotiated de-escalation rather than organic recovery[3].

Traders should monitor scheduled diplomatic declarations and any upcoming campaign-finance disclosures that might signal shifting US or regional priorities toward resolving the blockade, as these catalysts often precede operational changes. The IMF Portwatch data set serves as the definitive resolution source, so sustained increases in daily vessel transits before any announced deadlines will be the primary indicator of normalisation, with the July 15 deadline for traffic return already passing without full recovery[3]. Attention should also focus on poll movements from key regional aggregators that track public sentiment on maritime security, as these often correlate with policy shifts affecting transit permissions.

Sources: 1 · 2 · 3 · 4

Methodology

Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Strait of Hormuz traffic returns to normal by December 31? plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.

Resolution & payout

Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.

Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.

FAQ

How accurate are political prediction markets?

Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.

What resolution source is used for elections?

Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.

Can prediction markets influence election outcomes?

Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.

Which platform has the deepest political liquidity?

Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.

Why do Polymarket and Kalshi differ on elections?

Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.