Highest temperature in Moscow on June 4?

Prediction market odds on Polymarket reflect real-money traders' collective expectations for Moscow's highest temperature on June 4, often incorporating meteorological forecasts, historical climate data, and seasonal patterns. Traditional weather analysts and climate models typically issue deterministic point forecasts or narrow ranges based on atmospheric modeling. Prediction markets tend to price in broader uncertainty and tail risks, since traders face direct financial consequences. Comparing Polymarket implied probabilities to published forecasts from Russia's Hydrometeorological Center or international weather services can reveal where the market is more bullish or bearish on extreme heat relative to expert consensus.

On Polymarket, the highest temperature in Moscow on June 4 is priced through a set of outcome contracts, each representing a specific temperature range or threshold. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares in each outcome, with the price of a share reflecting the market's estimated probability that outcome will occur. As new weather data, seasonal forecasts, and real-time conditions emerge, traders adjust positions, moving prices up or down. The outcome that resolves true will pay out at full value, while all other outcomes expire worthless, creating direct incentives for accurate pricing.

The market resolves on Jun 4, 2026, after June 4 has concluded and the highest temperature recorded in Moscow for that day is finalized. The outcome is determined by the official temperature reading from Moscow's primary meteorological station or the designated reference source specified in the market terms. Once the actual high temperature is confirmed, the corresponding outcome contract is marked as true and pays out to holders, while all other temperature ranges or thresholds resolve false. Resolution typically occurs within hours to a day after the reference time to allow for data verification.

Several factors could shift odds for Moscow's June 4 high temperature. Major weather pattern changes—such as a shift from cool Atlantic systems to hot continental air masses—would move the market significantly. Updated seasonal forecasts from meteorological agencies, particularly if they revise long-range outlooks, often trigger repricing. Real-time atmospheric data closer to June 4, including jet stream positioning and high-pressure system development, will drive incremental adjustments. Historical analogues to past June heat waves in Moscow and broader climate anomalies may also influence trader positioning. As the date approaches, daily weather model runs become increasingly influential in determining final market prices.