Home / Prediction Markets / Science / Singapore Hit 32°C on June 26: Market Resolves YES | Lines.com Singapore Hit 32°C on June 26: Market Resolves YES | Lines.com View on Polymarket → Share SR Sofia Renard Climate & Science Analyst Market Resolved Embed NEW Embed this market Full Compact Copy Updated July 18, 2026 5 min read Resolution Verdict YES Market Resolved Market has ended. Final implied probability: 100%. Resolved Volume $171.5K $57.9K in 24h Liquidity $115.8K Deep liquidity Time Left Ended Resolves Jun 26 172K Vol. Ended 1H 6H 1D 1W 1M ALL Select lines to display 32°C $16K Vol. 100% Yes 100¢ No 0¢ 25°C or below $69K Vol. 0% Yes 0¢ No 100¢ 26°C $20K Vol. 0% Yes 0¢ No 100¢ 27°C $1K Vol. 0% Yes 0¢ No 100¢ 28°C $4K Vol. 0% Yes 0¢ No 100¢ 29°C $7K Vol. 0% Yes 0¢ No 100¢ Singapore recorded a daily maximum temperature of 32°C on June 26, 2026, resolving the Polymarket temperature market to YES with full certainty. The confirmed reading matched the median expectation for late June, a period when Singapore’s Meteorological Service (MSS) typically logs daily highs between 31°C and 33°C. Traders who held the 32°C outcome collected in full. The market closed at a final probability of 100%, up from an opening price of just 21%. That 79-percentage-point journey told a story about data arriving in real time. A 65% single-day surge on June 26 itself confirmed what the thermometers were already showing. Total volume reached $171,541, with $57,905 trading in the final 24 hours alone. The market is pricing uncertainty, not science, and once the science arrived, the price had nowhere left to go. What Happened: Singapore’s June 26 Temperature Confirmed at 32°C Singapore’s maximum temperature on June 26, 2026 settled at 32°C, placing the result squarely in the center of the historical distribution for late June. No active El Niño advisory was in place during this period, which kept upper-tail outcomes like 34°C or 35°C off the table. Convective storm activity, a common disruptor that can suppress afternoon highs, did not materialize before the daily maximum was recorded. The 32°C reading came through cleanly. The market’s final hours reflected growing trader conviction. Price moved up 27% on June 25 as near-term forecasts tightened around the 32°C band, then added another 27.6% on June 26 when observational data confirmed the outcome. The final probability at close hit 100%, leaving no ambiguity in how this market ended. How the Market Performed Sponsored Partner Pricing the Singapore Heat: Was the Market Accurate? The opening implied probability of 21% for the 32°C outcome underpriced the eventual result significantly. Singapore’s mean daily maximum in June sits historically between 31°C and 33°C, with 32°C representing roughly the median expectation. A market that opened at 21% for the median climatological outcome was, by definition, underpricing the most likely single bucket across an eleven-outcome field. The data doesn’t care about the politics, and it doesn’t care about opening prices either. The final probability at close reached 100%, confirming a sharp correction from the opening underpricing. Total volume of $171,541 signals genuine market engagement for a scientific measurement market. Liquidity of $115,771 supported meaningful price discovery, even if that discovery happened late in the market’s life. The 24-hour volume of $57,905 represents 34% of total volume, concentrated at the point of maximum information availability. Resolution Outcome: 32°C confirmed YES on June 26, 2026.Article-Time Probability: 21% at market open (heavily underpriced).Final Price at Close: 100% (fully resolved).Total Volume: $171,541 across the market’s life.Market Assessment: Underpriced YES. The median climatological outcome opened at just 21%. What It Means Next: Singapore’s Temperature Markets and Climate Baselines Singapore’s June temperature baseline reflects broader regional warming trends. The MSS has documented a gradual upward shift in mean daily maxima over the past three decades, with 32°C increasingly representing the floor rather than the ceiling of late June expectations. The 2026 reading offers no anomaly to analyze, which is itself worth noting from a climate monitoring perspective. Here’s what the measurements are telling us: June 26 was a typical warm day in Singapore, and the market ultimately priced it correctly once real-time data arrived. The binary structure of this market, spread across eleven temperature buckets, created an inherently difficult early-pricing problem. Traders splitting probability across outcomes from 25°C or below to 35°C or higher faced genuine distributional uncertainty before forecast data narrowed the range. The market’s late convergence reflects how temperature measurement markets function: thin early pricing, sharp late corrections as observations arrive. That structure is worth understanding for anyone following similar daily measurement markets. Singapore’s Meteorological Service will continue publishing daily maximum temperature records, providing the empirical anchor for future market resolution in this format.The absence of El Niño conditions in June 2026 kept the upper-tail outcomes suppressed. Any return to El Niño-adjacent conditions would shift probability mass toward 33°C, 34°C, and 35°C buckets in future markets.The 34°C daily maximum recorded earlier in June 2026 (on June 4) shows the upper tail is accessible under the right conditions, making 32°C the reliable central estimate but not a ceiling.Traders in multi-bucket temperature markets should weight historical climatological frequency data more heavily in early pricing, particularly for well-documented measurement stations like Singapore’s Changi climate station. LINES RESOLUTION VERDICT UNDERPRICED YES: MARKET CORRECTED LATE BUT ACCURATELY The 32°C outcome was the median climatological expectation for late June in Singapore, yet it opened at just 21%. Once observational data confirmed the reading on June 26, the market corrected to 100% in a single trading session. The data was never in doubt. The price just needed time to catch up. What the market showed: The 32°C outcome opened at 21% implied probability and closed at 100% at resolution. That gap represents underpricing of the most climatologically central outcome in an eleven-bucket field. A $171,541 total volume market corrected its early mispricing decisively once real-time temperature data arrived. Frequently Asked QuestionsHow did the Singapore June 26 temperature market resolve?The market resolved YES at 32°C. Singapore recorded a daily maximum of 32°C on June 26, 2026, confirming the outcome and sending the final probability to 100%.Were traders accurate in pricing Singapore's June 26 temperature?Early traders underpriced the 32°C outcome significantly. The market opened at 21% for the median climatological outcome and corrected to 100% only after observational data confirmed the reading on June 26.What does the $171,541 total volume signal for this market?The volume indicates genuine engagement for a scientific measurement market. Nearly 34% of total volume, or $57,905, traded in the final 24 hours as real-time temperature data reduced uncertainty.What does the 32°C outcome mean for Singapore's climate baseline?The 32°C reading sits at the median of Singapore's historical late-June distribution. It reflects no anomaly, but ongoing baseline warming documented by MSS means 32°C increasingly represents a central floor, not a midpoint.How did the probability shift from open to resolution?The market opened at 21% implied probability for 32°C, surged 65% on June 26 as observational data arrived, and closed at 100% upon confirmed resolution. The 79-point swing reflected late-arriving real-world measurement data.How is the Smart Money Index calculated?We aggregate the live positions of the top 50 Polymarket whales (ranked by 30-day tracked volume) into one composite reading per market. It refreshes every hour. The percentage shows how many of those whales hold YES versus NO; the net dollar position shows the cohort's directional exposure in dollars.What is a convergence signal?A convergence event fires when three or more tracked wallets buy the same outcome on the same market within a four-hour window. We surface these in the activity feed and the VIP digest.Is Lines a market operator?No. Lines is an editorial and data product. We do not operate prediction markets, custody funds, or accept trades. All trade flows deep-link to Polymarket via our affiliate code. Probabilities shown are market-implied and not predictions or recommendations. Market Resolved Outcome: YES Final Price 100% Settled Jun 26, 2026 Duration 2 days Resolution Analysis What Happened Singapore recorded a daily maximum temperature of 32°C on June 26, 2026. The MSS-observed reading matched the median climatological expectation for late June. No convective storm activity suppressed the afternoon high, and no El Niño conditions pushed it above 33°C. The outcome resolved squarely in the center of the historical distribution. Market Accuracy The 32°C outcome opened at 21% implied probability, a significant underpricing of the most climatologically central bucket in an eleven-outcome field. The market corrected decisively on June 26 as observational data arrived, closing at 100%. Total volume of $171,541 and $115,771 in liquidity supported price discovery, though most of that discovery happened in the final 24 hours. Key Turning Point The decisive turning point was the arrival of real-time temperature data on June 26 itself. Price surged 27.6% on June 26 and a combined 65% over the final 24 hours as observational readings narrowed the outcome to 32°C. Before that data arrived, the eleven-bucket structure kept probability dispersed across a wide temperature range. Forward Implications Singapore's ongoing baseline warming documented by MSS means 32°C will likely anchor the central expectation in future late-June temperature markets. Any return to El Niño-adjacent conditions would shift probability mass toward 33°C and 34°C buckets. Traders in multi-bucket temperature markets should incorporate historical frequency data more aggressively in early pricing rather than waiting for observational confirmation. Key macro factor: Singapore's mean June daily maximum has trended upward over three decades, making 32°C an increasingly reliable central estimate for late-June daily highs under neutral climate conditions. Market Timeline Jun 24, 2026, 4:02 AM Market Created Jun 24, 2026, 4:09 AM Market Opened Jun 26, 2026 Market Resolution Related Prediction Markets Moving Now Highest temperature in Beijing on July 22? 28°C 100% Yes No 25°C or below 0% Yes No Read Article Moving Now Highest temperature in Wuhan on July 22? 29°C 100% Yes No 25°C or below 0% Yes No Read Article Moving Now Highest temperature in Kuala Lumpur on July 22? 31°C 100% Yes No 26°C or below 0% Yes No Read Article Moving Now Highest temperature in Shanghai on July 22? 35°C 100% Yes No 28°C or below 0% Yes No Read Article Moving Now Highest temperature in Shenzhen on July 22? 33°C 100% Yes No 26°C or below 0% Yes No Read Article Moving Now Highest temperature in Chengdu on July 22? 39°C 100% Yes No 34°C or below 0% Yes No Read Article Moving Now Highest temperature in Tokyo on July 22? 34°C 100% Yes No 29°C or below 0% Yes No Read Article Moving Now Highest temperature in Singapore on July 22? 30°C 100% Yes No 25°C or below 0% Yes No Read Article Moving Now Highest temperature in Hong Kong on July 22? 33°C 100% Yes No 26°C or below 0% Yes No Read Article Loading... 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