Highest temperature in Singapore on June 6?

Prediction market odds on Polymarket reflect real-money trader expectations and often diverge from traditional meteorological forecasts. While weather analysts rely on climate models and historical data to project June temperatures in Singapore, prediction markets aggregate dispersed information from traders who profit or lose based on accuracy. Market odds tend to be more dynamic and responsive to emerging weather patterns, whereas analyst forecasts follow established modeling protocols. Comparing the two reveals whether traders are pricing in factors analysts may underweight or overweight.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Singapore on June 6 is priced through outcome shares that represent discrete temperature ranges or specific thresholds. Traders buy and sell shares at prices between 0 and 1 cent, with the price reflecting the collective probability assigned to each outcome. As new information arrives—such as seasonal weather updates or climate anomalies—share prices adjust in real time. The market uses an automated market maker or order-book model to facilitate continuous trading and price discovery.

The market resolves on Jun 6, 2026, after the highest temperature in Singapore on June 6, 2026, has been recorded and verified. Resolution depends on official temperature data from a designated meteorological source, typically Singapore's National Environment Agency or equivalent official weather authority. Once the final temperature is confirmed, the outcome shares corresponding to the correct range or threshold are paid out at full value, and all other shares expire worthless. The exact resolution criteria and data source are specified in the market's terms.

Several factors could shift market odds before Jun 6, 2026. Seasonal climate forecasts and updated monsoon predictions may alter expectations for June temperatures in Singapore. El Niño or La Niña patterns, ocean surface temperatures, and atmospheric pressure systems influence regional weather. Major weather events or anomalies in nearby regions can signal broader climate shifts. As June approaches, real-time weather models become more precise, and traders adjust positions accordingly. News of volcanic activity, solar cycles, or other climate drivers may also trigger repricing of temperature outcomes.