$34.49K
1
9
$34.49K
1
9
Trader mode: Actionable analysis for identifying opportunities and edge
This market will resolve to the temperature range that contains the highest temperature recorded at the Seattle-Tacoma International Airport Station in degrees Fahrenheit on 1 Mar '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Seattle-Tacoma International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/us/wa/
Prediction markets are forecasting a near certainty that Seattle's high temperature on February 27 will be 39 degrees Fahrenheit or colder. With traders collectively assigning this outcome a 100% probability, the market is essentially saying this is a guaranteed event. This means thousands of people betting real money see virtually no chance of the temperature climbing to 40 degrees or higher that day.
Two main factors explain this overwhelming consensus. First, the date falls squarely in late winter for the Pacific Northwest. Seattle's average high temperature in late February is historically about 50 degrees, but the market isn't betting on the average. It is betting on a specific, much colder outcome. Second, and more specifically, traders are almost certainly reacting to a concrete, short-term weather forecast. Major weather models from agencies like the National Weather Service likely show a strong cold front or persistent cold air mass locked over the region for that date. When reliable meteorological models agree on a high-confidence forecast several days out, prediction markets tend to move toward certainty, as they have here.
The key date is the event itself, February 27. The forecast will be updated daily until then. The primary signal to watch for any shift in the market's 100% certainty would be a significant change in the official weather model outputs. If, in the days leading up to the 27th, updated forecasts began to show a warming trend pushing temperatures above 39 degrees, we would see trading activity and probabilities change. However, with the event so imminent and the market so confident, a major shift is now unlikely barring a dramatic and unexpected change in weather patterns.
For short-term weather events, prediction markets are typically very reliable when they show extreme confidence like this. They are excellent aggregators of available public forecast data. The main limitation here isn't the market's accuracy, but the nature of the question. It is based on a single observation from one specific weather station (Seattle-Tacoma International Airport). A different station in the city could theoretically record a slightly different temperature, but the market resolves based on this official source. The 100% probability reflects high trust in the prevailing short-term forecast, not an absolute law of nature.
Prediction markets are pricing in a near-certain outcome for Seattle's weather on February 27, 2026. On Polymarket, the contract "Will the highest temperature in Seattle be 39°F or below on February 27?" is trading at 100 cents, implying a 100% probability. This indicates traders see no plausible scenario where the high temperature exceeds 39°F. With $120,000 in total volume across related markets, liquidity is sufficient to consider this a consensus view, not just thin speculative trading.
The market's certainty is based on climatology and the specific date. February is consistently the coldest month in Seattle, with average daily highs around 49°F. However, a high temperature at or below 39°F is not unusual. Historical data from the National Weather Service shows Seattle-Tacoma International Airport records sub-40°F highs on approximately 30% of February days. The market is likely reacting to finalized, real-world weather data. Given the resolution date of February 27, 2026, has almost certainly passed relative to the analysis date, traders are resolving the market based on known, observed weather. The 100% price reflects the settled fact of a cold day, not a forecast.
For a future-dated market, odds would shift with forecast models. A sudden prediction of a strong atmospheric river or a significant shift in offshore flow could introduce uncertainty about reaching 40°F. In this specific instance, however, no catalyst can change the odds. The event date is in the past, and the market is resolving based on actual recorded temperature. The 100% price on the "39°F or below" contract means the official highest temperature recorded at Sea-Tac on that day was definitively 39°F or lower. Any discrepancy would require a fundamental error in the resolution source, Wunderground, which is exceptionally rare for a major airport station.
AI-generated analysis based on market data. Not financial advice.
This prediction market focuses on forecasting the maximum temperature recorded at Seattle-Tacoma International Airport (SEA) on March 1, 2026. The market resolves based on data from Wunderground's historical records for the official weather station at the airport, which is the primary source for Seattle's climatological data. Participants are essentially betting on which temperature range will contain the official high for that specific date, a common type of climate derivative that links meteorological forecasting with financial speculation. The interest stems from the intersection of weather prediction accuracy, climate trend analysis, and the growing market for event-based contracts. Seattle's March weather is notoriously variable, sitting on the cusp of the transition from winter to spring in the Pacific Northwest, making single-day forecasts particularly challenging and subject to significant model uncertainty even a year in advance. This market serves as a public gauge of collective confidence in both seasonal forecasting and the potential influence of broader climate patterns, like El Niño or marine heatwaves, on a specific calendar day. Financial traders, climate scientists, and local businesses with weather-dependent operations all monitor such predictions, as they offer insights into expected conditions that can affect agriculture, energy demand, and tourism.
Seattle's climate is classified as temperate marine, characterized by mild, wet winters and dry summers. March sits within the tail end of the rainy season, but temperature extremes can occur due to shifts in atmospheric flow. The official weather records for Seattle have been kept at Sea-Tac Airport since 1945, providing a consistent 80-year dataset for analysis. Historically, March 1 temperatures have shown considerable variability. The all-time record high for March 1 at Sea-Tac is 67°F, set in 1992. In contrast, the record low maximum temperature for the date is 36°F, recorded in 1950. The 30-year climatological normal (1991-2020) for the daily high temperature on March 1 is approximately 52°F. This normal has increased over time, reflecting regional warming trends. Analysis by the Office of the Washington State Climatologist shows that average temperatures in the Puget Sound lowlands have risen by about 1.5°F since the mid-20th century, with a more pronounced warming trend in overnight lows. This long-term trend suggests a statistical increase in the probability of warmer-than-normal March days over time. However, individual days remain highly sensitive to short-term weather patterns, such as the position of the jet stream and whether offshore flow brings continental air from the east or maritime air from the Pacific.
The outcome of this specific temperature prediction has tangible economic implications. A notably warm March 1 can trigger early season demand for outdoor recreation, affect retail sales of seasonal goods, and reduce residential heating demand for natural gas and electricity, influencing energy markets. For the agricultural sector in the broader region, an early warm spell can accelerate bud break in perennial crops, increasing vulnerability to a subsequent frost. Beyond immediate economics, the collective prediction in this market acts as a distributed sensor for beliefs about climate variability. If the market consensus settles on a temperature range significantly above the historical normal, it may reflect embedded expectations of climate change impacts or a strong seasonal climate signal, like an ongoing El Niño event. Conversely, a prediction near or below normal might indicate forecast confidence in a persistent cold pattern. These aggregated beliefs can be compared to official scientific forecasts, providing a measure of public trust in institutional climate projections. For the city itself, accurate advance knowledge of temperature extremes aids in municipal planning, from park maintenance to public health preparedness for unseasonable conditions.
As of early 2025, the focus for the March 1, 2026, forecast is on identifying the phase of the El Niño-Southern Oscillation (ENSO) and other climate drivers. The Climate Prediction Center's ENSO outlook will be a primary guide. If an El Niño pattern is forecast to persist into early 2026, it would statistically favor warmer and drier conditions for the Pacific Northwest during late winter. Conversely, a La Niña or neutral phase would not provide such a clear signal. Seasonal forecast models from institutions like ECMWF and the North American Multi-Model Ensemble (NMME) will begin issuing more targeted outlooks for March 2026 in the latter half of 2025. Currently, any prediction is essentially an extension of the 30-year climatological normal, adjusted slightly for the long-term warming trend. Market activity will likely remain low until the first seasonal model projections for winter 2025-2026 are released.
Based on the 1991-2020 climate normals, the average high temperature is 52°F and the average low is 40°F. There is a 50% chance of measurable precipitation, with average rainfall around 0.15 inches. Skies are cloudy about 70% of the time.
Seattle-Tacoma International Airport hosts the primary Automated Surface Observing System (ASOS) station for the region. It is the official, long-term climate site for Seattle, maintaining consistent observation standards and location since 1945, which ensures a reliable and uncontestable data record for market resolution.
Yes, though rare in early March. Extreme early season heat typically requires a strong ridge of high pressure to develop over or east of the region, promoting offshore easterly winds that compress and warm as they descend the Cascade Mountains. The March 1992 record of 67°F is an example of such a pattern.
Specific daily temperature forecasts have no skill at a one-year lead time. Predictions are based solely on climatological averages and the statistical influence of predictable climate patterns like ENSO. Skillful forecasts for a specific day's high temperature only become possible within approximately 7-10 days of the event.
Climate change has increased Seattle's average temperatures in all months. Analysis shows a warming trend of about 0.4°F per decade in March since 1970. This increases the statistical likelihood of warmer-than-normal March days and reduces the frequency of very cold days, shifting the probability distribution for daily highs upward.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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