Global temperature prediction markets track collective expectations about Earth's climate trends and annual temperature records. These markets serve as real-time forecasting mechanisms where participants explore climate scenarios based on observational data, scientific models, and atmospheric trends. Markets in this category typically focus on yearly temperature rankings—whether a given year will rank as the hottest, second-hottest, or fourth-hottest year in recorded history. For example, participants might explore whether 2026 will set a new record, equal recent highs, or fall below the hottest years already observed. These forecasts reflect evolving assessments of climate conditions, natural cycles, and warming trajectories. Several key factors influence temperature market prices: **Climate Data & Records** — Real-time temperature measurements, historical baselines, and anomaly data from meteorological agencies provide the factual foundation for market assessments. **Seasonal & Cyclical Patterns** — El Niño and La Niña events are major drivers of annual temperature variation, making seasonal forecasts central to yearly predictions. **Scientific Projections** — Climate models and reports from organizations like the IPCC help traders calibrate expectations against peer-reviewed research. **Warming Trends** — The rate and consistency of global warming inform assessments about whether new records are likely in the near term. **Natural Variability** — Volcanic activity, solar cycles, and other natural phenomena create year-to-year fluctuations that affect temperature rankings. These markets provide transparent, real-time insight into how the broader market community views climate trends, the likelihood of record-breaking years, and the interplay of natural and long-term factors shaping global temperatures.