Highest temperature in Kuala Lumpur on June 13?

Prediction market odds on Polymarket reflect aggregated trader expectations for Kuala Lumpur's peak temperature on June 13. These market-derived probabilities can be compared against meteorological forecasts and climate analyst predictions published by weather agencies and research institutions. Divergences between market odds and official forecasts often signal either market inefficiency or new information traders are pricing in ahead of traditional forecasters. Monitoring both sources provides a fuller picture of temperature expectations.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Kuala Lumpur on June 13 is priced through outcome contracts representing specific temperature ranges or thresholds. Traders buy and sell shares corresponding to their belief about which range will occur, with prices reflecting the collective probability estimate. As new weather data, seasonal patterns, and climate models emerge, prices adjust dynamically. The market structure incentivizes accurate forecasting, with final payouts determined by the actual recorded high temperature on that date.

The market resolves on Jun 13, 2026, after the highest temperature in Kuala Lumpur on June 13 has been recorded. The outcome is determined by the official temperature measurement from the designated weather station or meteorological authority serving Kuala Lumpur. Once the final high temperature is confirmed and reported, the corresponding outcome contract pays out to holders, and all other outcome contracts expire worthless. Resolution typically occurs within hours of the market end time.

Several factors could shift market odds for Kuala Lumpur's June 13 high temperature. Updated seasonal weather forecasts and monsoon pattern predictions will influence trader expectations. Major atmospheric events such as tropical storms, pressure system changes, or unusual wind patterns could alter cooling or heating dynamics. Long-range climate models and historical temperature anomalies for that date may prompt repricing. Real-time weather updates as June approaches will drive the most significant moves, with traders continuously incorporating new meteorological data into their probability assessments.