Highest temperature in Guangzhou on July 23?

Platform comparison

Market context

Guangzhou is in the middle of its hottest season, and that matters because the market resolves to the *day’s maximum* at Baiyun Airport rather than the headline city temperature. July norms are already high: typical daytime highs are around 32°C, with very humid conditions that can make the heat feel more intense even when the official maximum is only in the mid-30s.[4]

The crowd is currently leaning towards **36°C**, with **35°C** the nearest alternative, so the market is pricing a fairly tight band around a hot but not exceptional afternoon.[1] A 0% YES reading should be read against the live weather setup rather than the calendar alone: Guangzhou is currently reporting 91°F and a “Dangerous Heat” RealFeel of 109°, which supports the idea that high-end readings remain plausible if cloud cover thins and sunshine strengthens later in the day.[2]

For traders, the main catalyst is the **intraday temperature path** at Guangzhou Baiyun International Airport, especially whether the city sustains heat into the early afternoon after the settlement window begins to close. A shift from cloud and humidity towards stronger solar heating would favour a 36°C print, while lingering cloud, rain, or a marine breeze would keep the outcome nearer 35°C or below; past-weather data from Guangzhou also shows that conditions can change quickly, so the market is leaning on live weather evolution more than on scheduled events or political-style disclosures.[2][3]

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 Highest temperature in Guangzhou on July 23? 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

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.

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.

Which political events have the biggest volume?

US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.