Highest temperature in Singapore on July 3?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader sentiment and financial incentives alongside meteorological models. While meteorologists rely on atmospheric data and historical patterns, this market aggregates the beliefs of participants who have money at stake. Comparing the market's implied probability to published forecasts from national weather services can reveal where traders see value or risk. Both sources offer insight, but they answer slightly different questions: one is a scientific projection, the other a market-based consensus with skin in the game.

On Polymarket, traders set the odds by buying and selling shares tied to specific temperature outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on a particular result, and the market price—expressed as a percentage—reflects the probability that traders assign to that outcome occurring. As new information emerges or sentiment shifts, participants adjust their positions, moving the price up or down. The continuous auction mechanism ensures that the market price stays aligned with the latest expectations of active traders.

This market resolves around Jul 3, 2026, once the highest temperature recorded in Singapore on July 3 is confirmed. The outcome will be verified against credible public sources reporting the actual weather data for that date. Traders holding shares in the outcome that matches the verified temperature will receive their payout, while other positions expire worthless. The resolution is objective and based on documented meteorological records, ensuring all participants can independently confirm the result.

Several factors could shift trader sentiment and move prices in this market. Updated weather forecasts from meteorological agencies, seasonal climate patterns, and real-time atmospheric conditions as July 3 approaches will all influence expectations. Major weather systems—monsoons, heat waves, or unusual pressure patterns—could trigger significant repricing. Additionally, historical temperature records for Singapore in early July and any unusual climate anomalies reported in the weeks leading up to the event may prompt traders to adjust their positions, creating volatility in the odds.