Highest temperature in Guangzhou on July 25?

Platform comparison

Market context

Guangzhou will experience peak summer heat on 25 July 2026, with the highest temperature recorded at Baiyun International Airport Station determining the settlement outcome. The market currently shows 0% probability assigned to any specific temperature range, suggesting either incomplete pricing or extreme uncertainty about seasonal conditions eighteen months ahead.

Guangzhou's July temperatures have historically clustered between 32–35°C, with occasional peaks exceeding 36°C during particularly intense heat waves. The city's subtropical monsoon climate produces consistent summer highs, though year-to-year variation remains modest. Comparable July records from the past decade at Baiyun station show the highest temperatures typically fall within a narrow band, making extreme outliers—either unusually cool or exceptionally hot days—statistically unlikely. This historical consistency should anchor expectations, yet the market's current pricing suggests traders are either absent or treating long-range weather forecasting as genuinely unpredictable.

The primary catalyst affecting this market is the absence of reliable meteorological forecasting beyond two weeks. No weather service publishes confident temperature predictions for specific dates eighteen months in advance. Traders monitoring this market should watch for any significant climate pattern shifts—such as developing El Niño or La Niña conditions—which could influence regional temperature anomalies by mid-2026. The China Meteorological Administration publishes seasonal outlooks quarterly, though these offer only probabilistic guidance on whether conditions will be warmer or cooler than normal rather than specific temperature predictions. Settlement depends entirely on Wunderground's historical records for that date once it passes.

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 Highest temperature in Guangzhou on July 25? 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.

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.

How fast do political markets react to news?

High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.

Are political prediction markets legal in my country?

It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.

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.