Apr 10, 2026 - Apr 13, 2026, the price of the ↑3k option rebounded from 71.5c to 83c, while the ↑10k option fell from 15.5c to 10c. This indicates the market adjusted its extreme outbreak expectations, shifting probability weights heavily toward a moderate outbreak of 3,000 to 5,000 cases. Apr 10, 2026 - Apr 11, 2026, the price of the ↑3k option surged from 71.5c to 84c. This was likely due to the market reassessing the case growth rate from the latest CDC reports, or signs of new cluster outbreaks in local areas during spring, leading to a rapid resurgence in outbreak concerns. Apr 9, 2026 - Apr 10, 2026, the price of the ↑3k option dropped significantly from 87c to 71.5c. This occurred because the market, after digesting the latest CDC data, concluded that the peak of the spring outbreak had passed, leading to a major downward revision of pessimistic annual forecasts. Apr 3, 2026 - Apr 9, 2026, prices for all options remained highly stable with maximum fluctuations under 5c, as the market continued to consolidate awaiting new data. Mar 28, 2026 - Apr 3, 2026, price fluctuations for all options were minimal. The market entered a stable wait-and-see period after the end of Q1, awaiting guidance from new spring case data. Mar 27, 2026 - Mar 30, 2026, price fluctuations for all options were under 6c, with ↑3k and ↑4k showing slight pullbacks. The overall market remained in a consolidation phase, awaiting further spring outbreak data. Mar 24, 2026 - Mar 27, 2026, all options fluctuated within 5c. The market continued its consolidation phase as traders awaited more CDC data to confirm if the outbreak trend continues. Mar 22, 2026 - Mar 23, 2026, the ↑5k option surged from 38.5c to 51.5c. Reason: The market reacted violently to new CDC data (125 weekly cases), fueling panic bets on linear growth and challenging the expectation of a seasonal summer decline. Mar 20, 2026 - Mar 22, 2026, the market was in consolidation, with no option moving more than 2c as traders digested Q1 data and awaited signs of a seasonal inflection. Mar 16, 2026 - Mar 19, 2026, the ↑4k option corrected from 72c to 64.5c, indicating a brief subsiding of early panic.

There is a clear divergence between market pricing and the consensus of the meteorological community. Scientists generally agree that following the strong El Niño event of 2023-2024, the return of a La Niña cycle typically brings a periodic pullback in global mean temperatures. Therefore, it is highly unlikely that 2026 will break the Rank 1 record; it is more likely to land between Rank 2 and Rank 4. However, the prediction market assigns a 36.5% probability to Rank 1, indicating that speculative capital is overly influenced by the long-term warming trend and is over-betting on extreme scenarios.

Although earthquakes are natural phenomena, betting on their frequency is uncommon. Most people lack intuitive knowledge of the baseline frequency of global 7.0+ earthquakes, making this a niche scientific statistical topic rather than a mainstream public interest event.

This is a scientific statistical question. While not a daily topic for the general public, it is standard data for disaster risk analysis and geology enthusiasts, placing it in the medium exotic category.

This falls under niche scientific prediction markets. While not as mainstream as politics or sports, 'disaster prediction' is a classic vertical in prediction markets. The general public understands the concept, but lacks the professional statistical intuition for it.

The implied probability for option '1' (43.5%) remains significantly higher than option '0' (38.5%), presenting a stark divergence from basic statistical consensus. Given an annual base rate of ~0.7 and 103 consecutive days without a VEI 4+ event, the mathematical expectation of 0 eruptions is demonstrably higher than 1. The market is likely skewed by the recency bias of active years or irrational hedging that distorts the true odds.

The title asks for the highest temperature in Seoul, but the resolution rules explicitly specify the Incheon Intl Airport Station (RKSI). Incheon Airport is located on the coast/island, and its temperatures often differ significantly from inland central Seoul (potentially by several degrees). This geographic mismatch between the headline and the specific resolution source is a major trap for traders who don't read the fine print.

April 14, 2026, the price of 24°C or higher surged from 13.5c to 56c, and 23°C rose significantly to 45c, while options for 22°C and below crashed to near 0c. The reason is that real-time daytime temperatures in Seoul have already exceeded 22°C, rendering lower options obsolete. April 12, 2026 - April 13, 2026, the price of 22°C surged from 15c to 33c, and the price of 23°C spiked from 9c to 28c, as newly released weather forecast models revised the expected high temperature for April 14 into this range.

If a magnitude 10.0 earthquake were to occur, it would be an unprecedented global catastrophe (the highest recorded is only 9.5), releasing energy far beyond typical major quakes. This would trigger massive tsunamis and geological destruction, likely devastating the global economy, supply chains, and insurance sectors. Thus, it represents an extreme 'Black Swan' shock for all major risk assets (like the S&P 500) while significantly boosting safe havens like Gold.

There is a moderate interpretation risk. Key points: 1. **Post-analysis upgrades**: NOAA often re-analyzes data months after the season, upgrading a 'depression' to a 'named storm'. The market's strict settlement timeline (May 31/June 1) excludes these retrospective changes. If NOAA upgrades a May system in July, the market may have already settled incorrectly. 2. **Subtropical Storms**: While NOAA names subtropical storms (resolving 'Yes'), 'Subtropical Depressions' remain unnamed (resolving 'No'). Close attention to official NHC 'Public Advisories' vs. 'Tropical Weather Outlooks' is required for borderline systems.

Apr 7, 2026 - Apr 9, 2026, the price of Option_'Yes' surged from 32.5c to 45.5c, likely due to new long-range weather model runs again hinting at potential subtropical cyclogenesis, triggering speculative buying. Mar 29, 2026 - Apr 2, 2026, the price of Option_'Yes' surged from 12.5c to 40.5c, likely due to phantom subtropical cyclogenesis signals in long-range weather models (like the GFS, common in spring), triggering renewed speculative buying. Mar 27, 2026 - Mar 29, 2026, the price of Option_'Yes' plummeted from 40.0c to 12.5c, as previous model disturbances completely dissipated, causing a rapid reversion to the climatological baseline. Mar 20, 2026 - Mar 26, 2026, the price of Option_'Yes' fluctuated narrowly between 40.5c and 49c without a clear directional move exceeding 10c. This suggests the market has entered a stalemate, with traders waiting for new weather model signals and a lack of fresh catalysts. Mar 14, 2026 - Mar 20, 2026, the price of Option_'Yes' fluctuated narrowly between 49c and 50c without clear direction. This suggests the market has entered a stalemate following the mid-March volatility, with traders waiting for new weather model signals and a lack of fresh catalysts. Mar 10, 2026 - Mar 13, 2026, the price of Option_'Yes' rebounded from 39.5c to 48c. This movement likely reflects the market re-evaluating potential long-range model disturbances after a brief dip, or buying pressure in a low-liquidity environment, though it did not breach previous highs. Feb 27, 2026 - Mar 5, 2026, the price of Option_'Yes' consolidated narrowly between 40c and 41c, showing no volatility exceeding 10c. This indicates the market entered a 'wait-and-see' phase as the previous model threat was digested and no new signals emerged. Feb 22, 2026 - Feb 23, 2026, the price of Option_'Yes' surged from 31.5c to 49.5c before retracing. This was driven by speculative buying triggered by a short-term signal in weather models (likely GFS) suggesting subtropical genesis, a signal that subsequently faded without realization.

The market currently prices the probability of a pre-season named storm at 45.5%, which diverges significantly from meteorological consensus and historical climatological baseline (typically around 10-15%). This divergence is primarily driven by prediction market participants overreacting to unstable, noisy signals in long-range spring weather models, which are notorious for low accuracy at this time of year.

If a Category 4 hurricane makes landfall in the US (especially in the Gulf of Mexico), Crude Oil and Natural Gas prices typically spike due to anticipated supply disruptions (Impact Score 3). Additionally, stocks of P&C insurance companies (e.g., Travelers, Allstate) and offshore drilling/refining firms (e.g., Marathon Oil) would face direct negative impacts. This acts as a standard hedge for real-world financial markets.

There is a significant divergence between the market-implied probability (34%) and the climatological consensus of meteorological experts (15%-20%). Retail traders are often influenced by recency bias from recent extreme weather events, systematically overestimating the true probability of such catastrophic tail-risk events. Without strong forecasts for a La Niña or anomalously high Sea Surface Temperatures (SST) to justify it, the 34% probability appears overly pessimistic.

This is a classic high-novelty market sitting at the intersection of astronomy and natural disasters. While scientific data suggests 5kt-class meteoroids (approx. 3-5 meters in diameter) impact Earth roughly once a year (often over oceans), the general public lacks intuitive knowledge of this frequency. This makes the market a bet based on scientific statistics rather than mainstream news or public sentiment.

Significant divergence exists. The prediction market currently prices 'Yes' at 43.5%, whereas mainstream astronomical consensus and NASA CNEOS historical data suggest that >5kt fireball impacts typically occur once every 1 to 2 years, corresponding to a baseline annual probability of 20%-25%. Given that over a quarter of the year has elapsed, the true scientific probability has decayed to under 20%. The market's high pricing reflects retail 'salience bias' stemming from recent minor meteor events, overestimating the likelihood of reaching the strict 5kt threshold.

April 13, 2026 - April 14, 2026, the price of 16°C surged from 40c to 51c, as weather forecast data further confirmed 16°C as the most likely high temperature approaching resolution. April 13, 2026 - April 14, 2026, the price of 17°C fell back from a high of 43.5c to 30.5c, because as time progressed, the likelihood of reaching 17°C decreased, with forecasts trending towards a slightly cooler 16°C. April 12, 2026 - April 13, 2026, the price of 16°C surged steadily from 17.5c to a peak of 52.5c before settling at 38.5c, as weather forecasting models became much more certain about highs reaching 16°C or above as the date approached. April 12, 2026 - April 13, 2026, the price of 17°C climbed significantly from 17.5c to a high of 43.5c, driven by updated Wunderground forecasts indicating a high of 63°F (approx. 17°C). April 12, 2026 - April 13, 2026, the price of 14°C plummeted from a high of 23c to under 1c, because updated forecasts consistently indicated temperatures would be significantly higher than 14°C.

April 12, 2026 05:08 - 09:28, the price of the '58°F or higher' option surged from 55.5c to 99.5c, while the prices of multiple lower temperature options plummeted. This occurred because, as the date approached, weather models updated to confidently confirm a warm front, ensuring high temperatures well above 58°F and effectively eliminating market uncertainty.

This is a typical 'catastrophe risk' market. While natural disasters themselves are not rare, bundling four extremely low-probability 'black swan' events (Cat 5 US landfall, VEI 6 volcano, 8.5 earthquake, 10kt meteor) into a single bet creates a structured disaster hedging product. This is more novel than simple election or sports betting.

This event represents extreme tail risk. If it occurs (especially a Cat 5 hurricane hitting a US economic hub or an 8.5 earthquake), it would deliver a significant shock to the macroeconomy. The S&P 500 would likely plummet due to economic disruption and insurance losses (Score 4); Crude Oil would spike if a hurricane hits the Gulf of Mexico (Score 3); and Treasury yields could fluctuate due to flight-to-safety or expected disaster relief spending. This serves as a highly effective macro tail-risk hedge.

April 13, 2026 - April 14, 2026: The price of '19°C' surged from 15c to 99.85c, because as Wellington local time entered the afternoon of April 14, the maximum temperature data was virtually confirmed at 19°C, and the market priced in this certainty. April 13, 2026 - April 13, 2026: The price of '18°C' surged from 29.5c to 62c, as approaching settlement date forecasts highly confirmed the high temp will land at 18°C. April 13, 2026 - April 13, 2026: The price of '19°C' plunged from 36c to 15c, as weather models further ruled out the possibility of reaching 19°C. April 12, 2026 - April 13, 2026: The price of '18°C' climbed from 30c to peak at 53c before settling at 46.5c, as approaching settlement date forecasts solidified the high temp near 65°F (18°C). April 12, 2026 - April 13, 2026: The price of '17°C' dropped from 40.5c to 16c and bounced to 20c, because slightly warmer updated weather models shifted funds toward the 18°C and 19°C options. April 12, 2026 - April 13, 2026: The price of '19°C' fluctuated sharply between 9.5c and 28.5c, reacting to minor updates in daily weather projections. April 12, 2026 - April 13, 2026: The prices of '15°C' and '16°C' tumbled to 0.05c as the likelihood of cooler high temperatures was completely ruled out by finalized forecasts.

While earthquakes are natural phenomena, mega-earthquakes of magnitude 9.0+ are extremely rare (historically only a few have occurred, e.g., 2011 Japan, 2004 Sumatra, 1960 Chile). This is not a regular news topic for the general public but rather a low-probability catastrophe prediction, giving it a moderate 'exotic' or extreme nature.

A magnitude 9.0 earthquake is a mega-disaster, typically accompanied by tsunamis and massive economic destruction. If it occurs in a densely populated or economic hub (e.g., Japan's Nankai Trough, US West Coast), it would severely disrupt global supply chains and financial markets, causing equity crashes (especially in the affected nation's index) and a flight to safety. While earthquakes are unpredictable, this contract serves as a cheap hedge against rare tail risks (Black Swan events).

There is a notable divergence between the current market price (implying a 10% probability of a 9.0+ earthquake) and the scientific/statistical consensus based on historical data (less than 3%). This discrepancy is driven by the longshot bias prevalent in prediction markets, where retail traders tend to overestimate the likelihood of extreme tail-risk disaster events and are willing to pay an 'insurance premium' that far exceeds the mathematical expectation.