Highest temperature in Mexico City on May 28?

Prediction market odds on Polymarket reflect aggregated trader sentiment and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical data, prediction markets incorporate real-time information, trader conviction, and financial incentives. The market's probability for specific temperature ranges can serve as a complementary signal to official forecasts from Mexico's National Meteorological Service. Comparing the two approaches helps identify where market participants see risks or opportunities that conventional models may underweight.

On Polymarket, the temperature outcome is priced as binary contracts representing specific temperature thresholds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The leading outcome currently reflects a very low probability, indicating strong market consensus toward warmer conditions. Traders buy and sell shares at prices between 0 and 1, with the price representing the implied probability of that outcome occurring. As new weather data emerges or the event date approaches, prices adjust dynamically based on order flow and market depth, allowing participants to trade their temperature expectations in real time.

The market resolves on May 28, 2026, after the highest temperature in Mexico City on May 28 has been recorded and verified. Resolution depends on official temperature data from a designated meteorological authority or data provider. Once the actual high temperature is confirmed, the contract settles to the outcome bracket that matches the recorded value. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. The exact resolution criteria and data source are specified in the market's terms.

Temperature expectations for Mexico City on May 28 can shift based on seasonal weather pattern updates, atmospheric pressure systems, and official meteorological forecasts released closer to the date. El Niño or La Niña conditions, tropical storm activity, or unusual high-altitude wind patterns may influence market pricing. Real-time weather model runs and historical temperature anomalies for late May in Mexico City will inform trader positioning. As May approaches, any significant revisions from national weather services or international climate centers could trigger repricing across all temperature outcome brackets.