Predicting the exact high temperature for a specific city on a specific date is a relatively niche weather derivative market. The average person does not think about this, though it is a standard and common type of question on prediction platforms.

Between 05:08 on April 13 and 13:48 on April 13, 2026, the price of '34°C or higher' plummeted from 35c to 6c, as updated short-term weather forecasts approaching the resolution date reduced the likelihood of extreme high temperatures. Between 05:08 on April 13 and 09:08 on April 14, 2026, the price of '29°C' dropped from 19.5c to 1.9c, as the likelihood of temperatures below 30°C was largely ruled out closer to the date. Between 05:08 on April 13 and 09:08 on April 14, 2026, the price of '30°C' dropped from 21c to 4.2c, similarly due to forecasts indicating temperatures will be higher than 30°C.

There is a severe divergence between market prices and meteorological forecasts. The Yes prices for '78°F or higher' and other high-temperature options are abnormally high, while the most accurate forecast range '60-61°F' is priced at only 3.5c. This is likely due to traders confusing the daily High with the daily Low, mistakenly betting based on the daytime heatwave forecast.

April 13, 2026 - April 14, 2026, the price of the 18°C option climbed from 22c to 38c, as updated weather forecasts indicated an increased likelihood of this temperature range. April 13, 2026 - April 14, 2026, the price of the 16°C option plummeted from 23.5c to 3c, as the forecast temperature was revised upwards, ruling out the possibility of this lower temperature. April 13, 2026 - April 14, 2026, the price of the 14°C option plummeted from 16.5c to 0.7c, as updated weather forecast models ruled out such lower temperatures and adjusted the expected high upwards.

While hurricanes are a standard meteorological topic, a hurricane making landfall in the US before May 31 (prior to or at the very start of the official season) is a statistically rare meteorological event. This makes the question somewhat exotic due to the specific timing constraints despite the common subject matter.

There is a notable divergence between the market price (Yes at ~7%) and the mainstream meteorological consensus (<1%). Mainstream weather models and historical climate data indicate that the Atlantic hurricane season officially begins June 1, and the early-season high wind shear environment is extremely hostile to hurricane formation and landfall. The 7% probability in the prediction market is largely driven by retail speculation on tail risks and pricing distortion in a low-liquidity environment, rather than scientific forecasting.

April 13, 2026 - April 14, 2026, the price of the 28°C option plunged from 34c to 18c (before slightly recovering to 23c), as weather models narrowed their forecast ranges for the peak temperature as the date approached, reducing the probability of higher extremes and shifting the center towards 26°C-27°C. April 13, 2026 - April 14, 2026, the price of the 30°C option dropped from 12.5c to around 2.5c, also due to increased certainty in weather forecasts ruling out the likelihood of unusually high temperatures.

The title asks for Seoul's lowest temperature, but the resolution explicitly relies on data from the Incheon International Airport Station. Incheon is a separate, coastal city, and its temperature often differs from central Seoul. This discrepancy is a significant trap for traders who only read the title.

While weather betting is a known niche in prediction markets, predicting the exact lowest temperature for a specific city on a specific day is highly granular and not a mainstream topic of natural daily concern for the general public.

Weather forecasting is a standard but small niche in prediction markets. While not extremely bizarre, predicting the exact daily high temperature of a specific city is not a mainstream event with widespread public attention like politics or finance.

April 13, 2026 - April 14, 2026, the price of '15°C or below' plunged from 25c to less than 1c, '25°C or higher' dropped from 25.5c to 0.5c, '18°C' fell from 19.5c to 3c, and '16°C' dropped from 12.5c to under 1c. This is because updated short-term weather forecasts ruled out extreme high and low temperatures as the resolution date approached, causing funds to aggressively concentrate in the middle temperature ranges (especially 20-22°C).

Significant divergence exists. Mainstream weather sources (e.g., Google Weather, AccuWeather, Time and Date) forecast a high of 18°C or 19°C (64-67°F) for Cape Town International Airport on April 15. However, Polymarket funds are heavily concentrated on the 20°C, 21°C, and 22°C options (summing to over 70%). This is likely due to traders failing to update their models with the latest precise daily forecasts, or confusing the city center's temperature with the specific airport station readings, which often differ slightly.

April 13, 2026 - April 14, 2026, tail options like '78-79°F' plummeted from 19.5c to 2.85c, and '74-75°F' crashed from 16c to under 1c. This occurred because as the resolution date approaches, weather forecasts become highly accurate and converged on the 82-85°F range, crushing tail probabilities. April 13, 2026 - April 14, 2026, '86°F or higher' dropped from 28c to 14c, as updated models suggested it is highly unlikely to exceed 85°F. April 13, 2026 - April 14, 2026, '84-85°F' experienced sharp volatility between 35.5c and 13c, ultimately settling at 28c, reflecting market tug-of-war over whether the exact peak will fall at 83°F or 84°F.

The current market pricing suggests '82-83°F' as the favorite outcome (38.5c). However, the resolution source (Weather Underground) and other local stations (KHOU) explicitly forecast a high of 84°F [8, 11]. This indicates a slight divergence where the market is leaning slightly cooler than the direct official forecast, which points to the '84-85°F' bucket.

This is a typical weather prediction market. While relatively common on prediction platforms, forecasting the specific highest temperature in Panama City on a particular day remains a niche and uncommon topic for the general public.

April 13, 2026 - April 14, 2026, the price of '32°C or higher' surged from 64c to 90c, while '31°C' plummeted from 27.5c to 7.5c, as the latest approaching weather forecasts further confirmed that the maximum temperature in Panama City on April 15 will reach or exceed 32°C. April 13, 2026 - April 13, 2026, the price of '22°C or below' plummeted from 25c to 0.75c, as weather forecasts showed that such abnormally low temperatures are impossible in Panama City during this period. April 13, 2026 - April 13, 2026, the price of '30°C' dropped from 29.5c to 19.5c, as updated forecasts indicated a higher likelihood of temperatures reaching 32°C or above, reducing the probability of mid-range temperature outcomes.

Predicting the exact number of solar or geomagnetic storms within a specific week is a highly niche and exotic topic for the general public, mostly appealing to geeks, science enthusiasts, or professional meteorologists.

April 12, 2026 - April 13, 2026, the price of the '<3' option surged from 12.5c to over 82c, while the '8+' option violently fluctuated between 10c and 42c, as the market aggressively corrected its early-week forecasts, likely reacting to updated space weather data. April 11, 2026 - April 12, 2026, prices for options 4, 5, 6, 7, and 8+ plummeted from the 40-50c range down to the 6-21c range. The reason is market participants stepping in to correct the absurdly high prices caused by extreme illiquidity and initial mispricing, bringing them closer to a realistic probability distribution.

There is a severe mathematical divergence in the market pricing. The sum of the implied probabilities for all 'Yes' options currently stands at 174%, which is mathematically absurd for mutually exclusive events (which should sum to ~100%). This indicates that due to the niche nature of the market, depleted liquidity, and sparse order books, prices have completely detached from meteorological consensus and basic laws of probability.

A magnitude 6.5+ earthquake in Los Angeles would cause severe infrastructural damage, leading to massive claims for property and casualty insurers like Allstate (ALL), significantly impacting their stock. Furthermore, given LA's massive contribution to the US GDP, such an event would trigger short-term risk-off sentiment and a minor economic shock to the broader US equity market (S&P 500).

The prediction market implies a 25% chance of a 6.5+ magnitude earthquake in LA within the year, which severely diverges from the mainstream seismological consensus (annualized probability of ~2%). This deviation is likely driven by retail traders' panic in response to recent minor earthquakes and a general lack of understanding of long-term earthquake probability models.

Predicting the exact millimeter precipitation for a specific city in a future month is quite niche. While weather derivatives exist in professional finance, it remains an unusual and novelty question for the general public in prediction markets.

2026-04-06 to 2026-04-08, the price of '70mm+' surged from 10c to 26.7c, driven by heavy observed rainfall in early April or updated forecasts predicting excessive rain before month-end, shifting expectations toward the extreme high bracket. 2026-04-07 to 2026-04-09, the price of '40-50mm' plunged from 28c to 13c, as the increased likelihood of wetter outcomes heavily diminished the probability of the historical average bracket.

This is a temperature prediction market for a specific city (Jeddah) on a specific date. While weather markets have a niche audience on prediction platforms, ordinary people would rarely think about this question beforehand, making it somewhat novelty and highly specific.

April 13, 2026 22:33 - April 14, 2026 05:03, the price of the '36°C or higher' option surged from 10.5c to 27c, driven by some forecast models or traders anticipating an extreme upside revision in temperatures as the resolution date approached. April 13, 2026 05:23 - April 13, 2026 06:28, the prices for the 31°C and 32°C options plummeted by over 10c (31°C fell from 19c to 8.5c, 32°C fell from 20.5c to 10c). The reason is that updated weather forecasts indicated higher temperatures (above 34°C) for April 15, shifting market expectations toward hotter options.

There is a significant trap in the rules: if the CDC fails to publish the report within the strict timeframe, the market defaults to the lowest bracket (<70) regardless of the actual hospitalization rate. The tie-breaker rule that rounds up boundary values also requires careful attention.

Predicting the cumulative flu hospitalization rate for a specific week is a niche topic. While public health data is standard, the general public rarely considers specific bracket predictions like this; it appeals mainly to hardcore data traders on specific prediction platforms.

April 10, 2026 - April 12, 2026, the price of the 80–85 bracket surged from 47.5c to 81.5c, while the 85-90 option plummeted from 48c to 12.5c, and lower brackets like <70 and 70-75 crashed from over 40c to under 2c. This was driven by the release of the latest CDC flu hospitalization surveillance data, which solidified expectations for the 80-85 range. April 10, 2026 - April 11, 2026, the price of the 80–85 bracket surged from 47.5c to a peak of 85.5c. This was driven by capital rapidly concentrating on this outcome as the CDC's flu hospitalization data became clearer. April 10, 2026 - April 10, 2026, the prices of lower-end brackets such as <70, 70-75, and 75-80 plummeted from over 40c to under 5c. This was primarily due to liquidity adjustments following market initialization and the confirmation that the final data would land in a higher bracket.