Highest temperature in Moscow on July 13?

Prediction market odds reflect real-money trader conviction and often diverge from traditional weather analyst forecasts because markets incorporate broader information sets and incentivize accuracy through financial stakes. While meteorologists rely on atmospheric models and historical data, this market aggregates dispersed knowledge from participants worldwide. Comparing the implied probability here to published forecasts from national weather services can reveal where traders see gaps in consensus or expect model revisions. Markets tend to update faster than official forecasts when new data emerges.

On Polymarket, this market is priced through an automated market maker that converts trader buy and sell orders into real-time probability estimates. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders purchase shares representing temperature ranges, and the price of each outcome reflects the collective belief about its likelihood. As new information arrives—such as updated weather models or seasonal anomalies—traders adjust their positions, causing prices to shift. The spread between bid and ask prices narrows as volume increases, rewarding active participation.

This market resolves around Jul 13, 2026, once the highest temperature recorded in Moscow on July 13 is verifiable from credible public sources. The outcome is determined by comparing actual meteorological data against the predefined temperature ranges offered in the market. Resolution typically occurs within hours of the close of the trading day, after official temperature readings are published. Traders holding shares in the correct outcome range receive their payout automatically.

Major weather pattern shifts, updated seasonal forecasts, and anomalous atmospheric conditions can significantly move odds in this market. Real-time developments such as heat waves, cold fronts, or unusual jet stream behavior will prompt traders to reassess probabilities. Climate indices like the North Atlantic Oscillation or soil moisture anomalies may also influence expectations. As July 13 approaches, each new weather model run and official forecast update typically triggers trading activity, especially if predictions diverge from prior consensus or historical norms for Moscow in mid-summer.