TOTAL VOLUME:
$134b
24H VOL:
$87,997,338
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,395,155,069
395,664
Markets across
30,076
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded in Buenos Aires will reach 16°C on May 28, 2026. On Polymarket, the leading outcome of 16°C holds 100.0% probability, while the alternative outcome of 15°C stands at 0.1%. Resolution will be determined by historical weather data from Weather Underground, specifically measurements from Minister Pistarini International Airport Station. Watch for the actual temperature reading on May 28, 2026, which will definitively settle this contract.
Prediction market odds on Polymarket reflect real-money consensus from traders pricing in current meteorological models and historical May temperature patterns for Buenos Aires. Unlike static analyst forecasts, market odds update continuously as new weather data and seasonal indicators arrive. Analysts typically issue point estimates or ranges based on climate models, while prediction markets aggregate distributed trader beliefs into dynamic probabilities. The market-derived odds often incorporate faster-moving information than traditional forecasts, though both sources can diverge when unexpected weather systems develop or model uncertainty increases.
The market resolves on May 28, 2026, after the highest temperature for May 28 in Buenos Aires is recorded and finalized. Resolution depends on official temperature data from recognized meteorological sources covering Buenos Aires on that specific date. The outcome is determined by comparing the recorded high temperature against the threshold or range specified in each contract. Once the official measurement is confirmed, the market settles and winning traders receive their payout based on which outcome occurred.
Several factors could shift market odds before May 28. Updated seasonal weather forecasts and long-range models from meteorological agencies will influence trader expectations as the date approaches. Cold fronts or warm air masses moving into Argentina could trigger significant repricing. Historical May temperature patterns and climate anomalies like El Niño or La Niña effects may be incorporated into pricing. Real-time atmospheric pressure systems, ocean temperatures, and regional weather alerts in late May will drive final adjustments. Traders continuously reassess probabilities as new meteorological data becomes available.