TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 8, 12:59 AM EST
Kalshi
This event group tracks the highest temperature in Tel Aviv on July 9, 2026. However, the two platforms use fundamentally different geographic locations and measurement standards to resolve what appears to be the same question, creating a critical mismatch.
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Ben Gurion International Airport in degrees Celsius on 9 Jul '26. The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=LLBG To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Resolution is determined by the highest temperature recorded in Central Park, New York on July 7, 2026, as reported in the National Weather Service's Climatological Report (Daily). The temperature reading is divided into six distinct ranges: 74°F or below, 75–76°F, 77–78°F, 79–80°F, 81–82°F, and 83°F or above. Each range corresponds to a separate market outcome that resolves to Yes if the official NWS temperature falls within that bracket. The NWS Climatological Report (Daily) is the authoritative source for resolution; preliminary NWS data and third-party weather services such as AccuWeather or Google Weather should not be used as final determinants. Traders should be aware that preliminary NWS reporting may involve rounding and conversion nuances that could affect interpretation of borderline readings.
Prediction market prices reflect aggregated trader beliefs rather than single-point forecasts from meteorologists. While weather analysts publish deterministic high-temperature predictions, this market converts collective opinion into probability estimates. Traders incorporate satellite data, historical patterns, and real-time atmospheric models into their positions. The advantage of prediction markets is that they continuously update as new information arrives, whereas traditional forecasts may be published once daily. This dynamic repricing often reveals nuances that static analyst predictions miss.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform operates under distinct market-making rules, liquidity pools, and user demographics. Kalshi and Polymarket may attract traders with different risk tolerances, time horizons, and access to weather data. Liquidity concentration also varies; if one platform has deeper order books, prices may move more slowly there in response to large trades. Additionally, platform-specific fees and settlement mechanics can create arbitrage opportunities that keep prices partially decoupled. Monitoring both venues helps traders identify mispricings and understand where conviction is highest.
Weather pattern shifts, updated seasonal forecasts, and real-time atmospheric pressure changes can all shift trader positions significantly. Major weather systems moving toward the Levant region, changes in solar intensity, or unexpected heat waves would trigger repricing. Additionally, historical temperature records for July 9 in prior years often anchor trader expectations. As the event date approaches, intraday weather updates and satellite imagery become more influential. Traders also monitor broader climate indices and regional heat anomalies that correlate with summer temperatures in the Mediterranean.