Highest temperature in Hong Kong on July 3?

Platform comparison

Market context

Hong Kong is set to record its peak daily temperature for 3 July 2026, with the Hong Kong Observatory expected to publish the absolute maximum in degrees Celsius once the daily extract is finalized. The current crowd-implied probability of 0% for a specific outcome suggests the market is either mispriced or awaiting a definitive catalyst, as historical data indicates July highs typically average 31–32°C.

Historical patterns and comparable cases frame how to interpret this near-zero probability. In early July, the Hong Kong Observatory consistently records daily maximums between 31°C and 33°C under prevailing southwesterly monsoon flow, with the current Polymarket frontrunner for the highest temperature being 31°C at 48% implied probability [2]. Seasonal forecasts for July–September 2026 predict temperatures to be normal to above-normal, driven by the latest ENSO status and climate model guidance [4]. This climatology contradicts a 0% probability for any realistic high-temperature range, suggesting the market may be leaning on a specific, unannounced weather anomaly or data delay rather than established trends.

Traders should monitor the Hong Kong Observatory’s daily extract publication schedule, as the market cannot resolve until the "Absolute Daily Max" is finalized in the relevant dataset [3]. Key catalysts include the official release of the 9-day weather forecast and any sudden shifts in the southwesterly monsoon that could push temperatures above 33°C. Recent news from the Hong Kong Observatory confirms a maximum temperature of 31°C for 3 July, with minimums at 27°C and relative humidity at 80% [3]. The market is leaning on the dependency of this data release, and any delay in the daily extract could significantly alter settlement timing. Watch for announcements from the Observatory regarding ENSO fluctuations, as these directly influence July temperature anomalies [4].

Sources: 1 · 2 · 3 · 4 · 5

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 Hong Kong on July 3? 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

For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.

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.

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.