Highest temperature in London on June 19?

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Active sub-markets

Market context

London City Airport was already around **13°C** with light winds and no precipitation expected, while local daytime forecasts pointed to a high near the **mid-teens to mid-20s Celsius** depending on source and timing, which matters because this market settles on the **single highest reading** recorded at the station over the full day rather than the afternoon forecast high alone.[1][2][6] For programmatic traders, the practical input is the hourly or observation feed from the same station, since a late spike from sunshine, a brief warm sector, or even a one-off updated observation can move the final outcome more than the headline daily maximum shown in consumer apps.[1][3]

A **0% YES** crowd price is typical when the market is already close to or past the point at which resolution data can still change, but comparable London temperature markets often compress quickly around the observed station trend rather than the citywide forecast.[5][8] London City Airport is a coastal-influenced site, so traders usually watch whether the day’s maximum is being capped by cloud and showers or lifted by clearer intervals and lighter winds; current guidance was mixed, with BBC Weather and the Met Office showing a modest warm-up, while The Weather Network still had showers and a lower daily high in its London City Airport forecast.[1][2][6]

For a bot-driven workflow, the relevant triggers are the station observations, not generic London forecasts: pull the latest London City Airport METAR or hourly history, then compare the day’s observed maximum against the market’s Celsius bands before the settlement window closes.[3][9] If the station posts a new high after midday, that can be the decisive data point even if forecasts were subdued earlier, so conditional orders and alerting should be tied to actual temperature updates rather than rainfall probability or “feels like” values.[1][2]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). The odds column is filled only where we have clean data — that avoids the made-up numbers that get a network demoted when search engines cross-check against the source venue.

Resolution & payout

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

FAQ

What's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

What does it cost to trade on Polymarket Bot UK?

Zero. Polymarket Bot UK routes every order to the live Polymarket order book; the only cost is the Polygon network fee, typically under $0.01 per transaction.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.

Do I need to KYC for this market?

Not under $1,500 of lifetime trading volume. Above that threshold, Polymarket Bot UK triggers a quick verification flow that finishes in minutes.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.