Apr 30, 2026 - May 2, 2026, the price of the ↑3k option dropped significantly from 69c to 54.5c. This was likely due to the release of the latest CDC data showing a further slowdown in the growth rate of new cases, leading the market to sharply downgrade expectations of exceeding 3,000 cases this year. Apr 21, 2026 - Apr 22, 2026, the price of the ↑4k option plummeted from 44.5c to 30.5c. This was due to updated CDC data confirming a slowdown in new cases, heavily reducing market expectations for a moderate-scale outbreak (over 4,000 cases). Apr 20, 2026 - Apr 22, 2026, the price of the ↑4k option dropped significantly from 46.5c to 30.5c. This was due to the latest CDC weekly report showing only 34 new cases, the lowest weekly increase of the year, which confirmed a significant slowdown in the spring outbreak and led the market to sharply downgrade expectations of reaching 4,000 cases. Apr 20, 2026 - Apr 21, 2026, the price of the ↑3k option surged from 59c to 69.5c. This was likely due to an unexpected localized rebound or data revision in late spring following new CDC data releases, prompting the market to reassess the probability of exceeding 3,000 cases this year. Apr 17, 2026 - Apr 20, 2026, the price of the ↑3k option plummeted from 83c to 59c, and the ↑4k option dropped from 59.5c to 46.5c. This was caused by a significant slowdown in new cases as the spring peak passed, leading the market to sharply downgrade expectations for a moderate-scale outbreak. Apr 15, 2026 - Apr 18, 2026, as expectations of a slowing growth rate strengthened, the ↑4k option slowly declined from 58.5c to 50c, and the ↑5k option dropped from 40c to 32.5c, though neither triggered a >10c sharp move. 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. Mar 28, 2026 - Apr 9, 2026, prices for all options remained highly stable with maximum fluctuations under 6c. The market entered a stable wait-and-see period after the end of Q1, awaiting guidance from new spring case 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.

The market is severely overestimating the likelihood of consecutive record-breaking hot years. Climate experts and scientific models generally expect that following the retreat of El Niño, the subsequent La Niña phase will cause a pullback in global temperatures, making it highly unlikely to rank 1st or 2nd for three consecutive years. The market's current concentration of bets on Rank 1 or 2 (combined over 90%) is significantly disconnected from the expectations of the climate science community based on ENSO cycles.

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.

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 28, 2026 - May 1, 2026, the price of Option_'Yes' plummeted from 52.0c to 19.5c, as the phantom weather model signals that caused the previous spike completely dissipated, prompting a rapid reversion to the climatological baseline. Apr 27, 2026 - Apr 28, 2026, the price of Option_'Yes' surged from 18.0c to 52.0c, likely due to fleeting subtropical cyclogenesis signals in long-range weather models triggering speculative buying. Apr 10, 2026 - Apr 16, 2026, the price of Option_'Yes' gradually decayed from 45.5c to 36.5c, as the noise from previous long-range weather models dissipated and the market slowly reverted toward the climatological baseline due to time decay. 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.

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.

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.

A clear divergence exists. Scientific consensus (based on historical NASA CNEOS data) indicates that the probability of a >=5kt impact in the remaining 8 months is roughly 15%, yet the prediction market prices 'Yes' at 37.5c. This divergence suggests that market participants are either overpricing tail risk or are being irrationally influenced by recent news coverage of sub-threshold fireball events.

While global warming is a hot topic, betting on specific monthly temperature anomalies (down to 0.01 degrees) is a niche scientific data prediction, less common than elections or sports, but standard for climate watchers.

May 2, 2026 - May 3, 2026, the price of the 1.10–1.14ºC bracket fell from 33.5c to 19c, as nearing settlement data further solidified expectations of a temperature anomaly above 1.15ºC, reducing the probability of the lower bracket. April 27, 2026 - April 29, 2026, the price of the 1.15–1.19ºC bracket surged from 51.5c to 67.5c, while the 1.10–1.14ºC price plunged from 32.5c to 19.5c, as more definitive preliminary observational data near month-end heavily concentrated market consensus into the 1.15-1.19ºC range. April 19, 2026 - April 22, 2026, the price of the 1.15–1.19ºC bracket rose from 53.5c to 60.5c, while the 1.20–1.24ºC price fell from 23.5c to 18.5c, as late-month climate models and preliminary observational data made the market more confident that the temperature anomaly will land in the 1.15-1.19ºC range. April 12, 2026 - April 15, 2026, the price of the 1.15–1.19ºC bracket surged from 28c to 45.5c, as clearer mid-April climate data prompted heavy capital inflows into this most probable temperature range. April 12, 2026 - April 15, 2026, the price of the 1.25–1.29ºC bracket plummeted from 18c to 8c, as recent data significantly reduced the probability of extreme high temperatures (>1.25ºC). April 4, 2026 - April 5, 2026, the price of the 1.20–1.24ºC option surged from 28.5c to 39.5c, driven by changing market expectations or preliminary data signaling anomalously high April temperatures, causing a rapid inflow of capital into this bracket.

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.

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).

While meteor strikes are natural phenomena, predicting a specific magnitude (10kt+) within a specific year is a niche scientific market. It is not as common as weather or elections, but not entirely absurd, placing it in the middle of the exotic spectrum.

The market price implies a nearly 80% probability that at least one month in 2026 will set a new all-time high record. However, mainstream meteorological models and climate experts generally indicate that after the 'super El Niño' driven temperature spike in 2023-2024, global temperatures often see a relative cooling or plateauing phase (even with expectations of an ENSO transition). Expert probability assessments for 2026 setting absolute monthly heat records are far below 80%. A significant divergence exists, suggesting the market is overwhelmingly driven by retail overenthusiasm.

A Category 5 hurricane making landfall in the mainland US would be a major economically disruptive event. Direct impacts include energy markets (Crude Oil and Natural Gas would likely spike if the Gulf of Mexico is hit) and the insurance sector (massive claims would hit stocks like Allstate and Chubb). Widespread destruction could also trigger risk-off sentiment or impact regional GDP, though broader index impact depends on the specific location and severity.

There is a significant divergence between market pricing (13.5% implied probability) and mainstream meteorological consensus. Climate history indicates that a Category 5 landfall in the contiguous US is exceedingly rare (occurring on average once every few decades). While major meteorological agencies may predict an active hurricane season, directly translating this overall activity into a high probability of a top-tier storm landfall is a systematic overestimation of tail risk. Prediction market traders often overpay for this outcome due to recency bias (memory of recent destructive storms) or the need for a cheap catastrophic hedge.