Highest temperature in Singapore on June 3?

Prediction market odds reflect real-money consensus from traders on Polymarket, while analyst forecasts come from meteorological agencies and climate models. Market prices often incorporate broader information sets and incentivize accuracy through financial stakes, whereas analyst forecasts rely on established atmospheric science and historical data. Both approaches offer value: markets capture dynamic sentiment and edge research, while analysts provide peer-reviewed methodologies. Comparing the two can reveal where traders diverge from official predictions for Singapore's June 3 high temperature.

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 3 is priced through outcome shares that represent specific temperature ranges or thresholds. Traders buy and sell shares corresponding to their belief about whether the actual high will fall into each range. The price of each share reflects the implied probability of that outcome. As new information emerges—such as seasonal forecasts or real-time weather patterns—prices adjust dynamically to reflect updated market expectations for Singapore's peak temperature on June 3.

The market resolves on Jun 3, 2026, after the highest temperature in Singapore on June 3 has been recorded and verified. Resolution is determined by the official temperature reading from Singapore's meteorological authority for that calendar day. The outcome is typically the maximum temperature observed during the 24-hour period, measured at the designated weather station. Once the official data is published and confirmed, the market settles according to which outcome bracket or threshold the actual temperature falls into.

Key signals include updated seasonal weather forecasts, monsoon patterns, and atmospheric pressure systems affecting Southeast Asia. Real-time meteorological alerts, ocean temperature anomalies, and tropical storm activity could shift expectations. As June 3 approaches, daily weather models become more precise, typically narrowing uncertainty. Urban heat island effects and local air quality conditions may also influence actual temperatures. Major climate events or unusual pressure systems in the weeks leading up to June 3 could prompt significant repricing on Polymarket as traders adjust their temperature predictions.