Highest temperature in Manila on June 5?

Prediction market odds on Polymarket reflect real-money consensus from traders, while meteorological forecasts from agencies like PAGASA (Philippine Atmospheric, Geophysical and Astronomical Services Administration) are based on atmospheric modeling and historical climate data. Markets often incorporate analyst predictions but may diverge based on trader sentiment and risk appetite. For Manila's June temperatures, comparing market-implied probabilities against official weather forecasts and seasonal climate normals can reveal whether traders are pricing in above or below-average heat for that specific date.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Manila on June 5 is priced through outcome shares representing different temperature ranges or specific thresholds. Traders buy and sell shares corresponding to their belief about the final recorded high, with prices reflecting the implied probability of each outcome. As new weather data, seasonal patterns, and real-time conditions emerge, share prices adjust continuously. The market aggregates dispersed information from traders worldwide into a dynamic price that reflects current expectations for Manila's peak temperature on that date.

The market resolves on Jun 5, 2026, after the highest temperature in Manila on June 5, 2026 has been recorded and reported. The outcome is determined by the official maximum temperature reading for that calendar day in Manila. Resolution depends on verified meteorological data, typically sourced from national weather authorities or established climate monitoring stations serving the Manila metropolitan area. Once the final temperature is confirmed and published, the market settles according to which outcome bracket or threshold the recorded high falls within.

Key drivers include updated seasonal weather forecasts, El Niño or La Niña conditions affecting Philippine climate patterns, and real-time atmospheric data as June approaches. Tropical weather systems, monsoon activity, and urban heat island effects in Manila can all influence the final temperature. Historical climate data and long-range forecasts from meteorological agencies will shape trader expectations. As the event date draws closer, short-term weather models become more precise, typically causing market repricing. Any unusual atmospheric patterns or climate anomalies reported in the weeks leading up to June 5 could significantly shift odds.