Highest temperature in Taipei on July 24?

Platform comparison

Market context

The day’s payoff depends on the **single highest reading** at Taipei Songshan Airport, not the average daytime temperature, so traders need to model the full intraday range rather than a simple “hot day” view. In practice, programmatic approaches usually map the Wunderground history page to the market’s Celsius buckets and then update implied probabilities as soon as the morning warm-up, cloud cover, or showers change the expected peak before the settlement cut-off.

Taipei in July is typically very hot and humid, which is why the market’s pricing should be read against a high-temperature distribution rather than a binary heat/no-heat frame. Travel guides place Taipei’s July daytime average high around 33–34°C, and note that July is the hottest month of the year in the city, so the crowd-implied 0% for YES is only meaningful if the market’s YES bucket is narrowly defined relative to that distribution or if traders expect an unusually cool day.[3][4] For calibration, a power-user would normally compare this with nearby historical July extremes and then test how often Songshan Airport prints into each outcome band under similar synoptic setups.

The main catalysts are weather-schedule dependencies: early-morning cloud, afternoon convection, and any tropical system or monsoon surge affecting northern Taiwan before the market settles at 12:00 UTC. The resolution source is Wunderground’s Taipei Songshan Airport Station history page, so the operational edge is in monitoring that feed directly and updating positions as soon as the day’s maximum becomes statistically hard to reach.[1] Taipei’s July climate is also described as changeable, with rain protection often advised, which matters because rainfall and cloud bursts can cap the day’s top reading even when the broader seasonal backdrop remains hot.[2]

Sources: 1 · 2 · 3 · 4

Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.

Resolution & payout

At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.

On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.

FAQ

Where can I trade this market with the lowest fees?

Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Polymarket Bot UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

Is this market available outside the US?

Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.

Do I need to KYC for this market?

On Polymarket directly, no — it's wallet-based. Intermediary brokers like Polymarket Bot UK trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.