Event: Highest temperature in NYC on July 5, 2026
This market will resolve to the temperature range that contains the highest temperature recorded at the LaGuardia Airport Station in degrees Fahrenheit on 5 Jul '26. The resolution…
Highest temperature in NYC on July 5?
Will the highest temperature in New York City be 73°F or below on July 5?

Price, depth and useful dates
An editorial view of the signal: what leads, how much activity is behind it, and which date carries the risk.
Archived market
We need to write a compact high-value market brief, 600-900 words, using only the provided data. Must not use boilerplate, must explain current situation, market structure, path to leading outcome, what could change pricing, editorial read. Use HTML tags only: h2, h3, p, ul, li, strong, a. Cite sources with tags only when used. We have data about multiple markets (73°F or below, 74-75, 76-77, 78-79, 80-81, 82-83, 84-85, 86-87, 88-89, 90-91, 92°F or higher). The main market is “Highest temperature in NYC on July 5?” with question “Will the highest temperature in New York City be 73°F or below on July 5?” The description says it resolves to temperature range containing highest temperature recorded at LaGuardia Airport Station on July 5, 2026, measured in whole degrees Fahrenheit. The market is currently “expired_pending_resolution” meaning end date passed but not resolved. The volume is huge (296,793.62). The yes_price is 0.0005 (0.05%) and no_price 0.9995 (99.95%). The leader is “No” with 100% probability. So the market currently says it’s almost certain that the high will be above 73°F (i.e., not 73°F or below). The leading outcome is “No” (i.e., temperature >73°F). The other markets show similar pattern: for 74-75, 76-77, 78-79, 80-81, 82-83, 84-85, 86-87, 88-89, 90-91, 92°F or higher, the “No” side is leading heavily (except 78-79 where “Yes” leads). So the market is heavily betting that the high will be above 73°F, i.e., not in the lowest bracket.
We need to explain the structure: It’s a multi-outcome range market where each outcome corresponds to a temperature bracket. The resolution source is Wunderground historical data for LaGuardia Airport Station. The market cannot resolve until the first data point for the following date is published, meaning after July 5 data is available (presumably after July 6). The resolution uses whole degrees Fahrenheit.
We need to explain that the leading outcome is “No” for the 73°F or below market, meaning the market expects the high to be above 73°F. The leading outcome across many brackets is “No” except 78-79 where “Yes” leads (i.e., 78-79°F). So the market currently sees a high probability that the temperature will be in a higher bracket.
We need to discuss path to leading outcome: For “No” to win (i.e., temperature >73°F), the high must be at least 74°F. So any temperature above 73°F would satisfy. The market will resolve based on the highest temperature recorded at LaGuardia on July 5, 2026. So if the high is 74°F or higher, “No” wins. The leading outcome is “No” with 100% probability currently, implying the market expects the high to be at least 74°F.
What could change pricing? If there’s a forecast or actual data indicating cooler than expected temperatures (e.g., a cold front, unseasonably low temps), the “Yes” side could gain traction, especially for lower brackets like 73°F or below, 74-75°F, etc. Also, if the market sees a shift in sentiment due to new weather models, or if the volume spikes in a particular bracket, that could shift odds. Also, if the market sees a high probability of extreme heat (e.g., 90°F+), that could affect higher brackets.
We need to incorporate recent reliable context: The data is from Polymarket, which is a prediction market. The resolution source is Wunderground, which is a reputable weather data source. The market volume is high, indicating liquidity. The end date is July 5, 2026, but the market is currently “expired_pending_resolution” meaning the event date has passed but resolution hasn’t occurred yet (maybe data not yet published). So we need to note that the market is pending final data.
We need to write 600-900 words. Let’s aim ~750 words.
Structure:
What is happening now
Explain that the market is pending resolution, the highest temperature will be measured at LaGuardia Airport on July 5, 2026, using whole-degree Fahrenheit from Wunderground. The market is currently showing a near-certain “No” that the high will be 73°F or below, with 99.95% probability for “No”. The volume is massive, indicating strong participation.
How the market is structured
Explain that it’s a multi-outcome range market with 12 possible temperature brackets (73°F or below, 74-75, 76-77, 78-79, 80-81, 82-83, 84-85, 86-87, 88-89, 90-91, 92°F or higher). Each market corresponds to a bracket; the “Yes” side pays if the highest temperature falls within that bracket, “No” otherwise. The leading outcome is “No” for the 73°F or below market, meaning the market expects the high to be above 73°F. The “Yes” price is 0.0005 (0.05%) and “No” is 0.9995 (99.95%). The leader for each bracket is shown; most have “No” leading except 78-79 where “Yes” leads.
Path to the leading outcome
Explain that for “No” to win, the highest temperature must be at least 74°F. So any temperature in the 74-75°F bracket or higher would satisfy. The market will resolve based on the official highest temperature recorded at LaGuardia Airport on July 5, 2026, as reported by Wunderground. As long as the recorded high is 74°F or higher, the “No” side will be correct and the market will settle at 100% for “No”. The leading outcome is already heavily favored, implying that historical climatology or forecasts suggest a high probability of above-73°F temperatures on that date.
What could change the pricing
Discuss potential events: a cold front moving in, unseasonably low temperatures, or a forecast revision that lowers expected highs. If new weather models show a high chance of temperatures staying at or below 73°F, traders might shift probability toward “Yes” for the 73°F or below market, raising its price. Conversely, if a heat wave is predicted or observed early, the “No” side could strengthen, especially for higher brackets like 84-85°F or 92°F+. Also, any delay in the release of the official temperature data could cause speculation; if the data is released later than expected, traders might adjust positions based on anticipated conditions.
Editorial read
Summarize: The market is heavily betting that NYC’s July 5 high will exceed 73°F, with near‑certain odds (99.95%) that the temperature will be higher. The structure is a series of narrow temperature bands, each paying out only if the exact bracket is hit. The leading “No” outcome reflects confidence that the high will be at least 74°F, likely in the 78‑83°F range where most volume is concentrated. Liquidity is strong, with over $296k total volume and $66k in liquidity, ensuring tight spreads. The resolution will depend on the official Wunderground record, which will be posted after the date, so the market remains open for trading until that data appears. Any significant deviation from expected warmth—such as an unexpected cold snap—could swing the odds, but current information suggests the market will settle in favor of a warmer high.
Need to ensure we cite sources with tags only when used. We have used the Polymarket data (the JSON). We could cite the Polymarket page link: https://polymarket.com/event/highest-temperature-in-nyc-on-july-5-2026. Also the Wunderground link: https://www.wunderground.com/history/daily/us/ny/new-york-city/KLGA. Also maybe the description of the market. Use tags.
We must not use any other tags besides h2, h3, p, ul, li, strong, a. Ensure we have h2 for each section, maybe h3 for subpoints. Use ul/li for lists. Use strong for emphasis.
Check word count: Let’s draft about 750 words.
We need to ensure we don’t exceed 900 words. Let’s count approximate words. We’ll write concise paragraphs.
Let’s draft:
What is happening now
The prediction market Highest temperature in NYC on July 5? is currently in a pending‑resolution state after its scheduled end date of July 5 2026. The market will settle based on the highest temperature recorded at the LaGuardia Airport Station (KLGA) on that day, using whole‑degree Fahrenheit values from the Wunderground historical archive. As of the latest update, the “No” outcome (temperature above 73 °F) trades at 0.9995, implying a 99.95 % probability that the high will exceed 73 °F, while the “Yes” side is priced at 0.0005 (0.05 %). Total trading volume exceeds $296 k, with $66 k in liquidity, indicating strong market participation.
How the market is structured
This is a multi‑outcome range market rather than a binary YES/NO question. Twelve separate markets cover temperature brackets from “73 °F or below” up to “92 °F or higher”. Each market pays out only if the official high temperature falls within its specified two‑degree band (or the single‑degree band for 73 °F or below). The “Yes” side wins when the recorded high lands in the band; the “No” side wins otherwise. The current leader for the 73 °F or below market is “No” with a price of 0.9995 and a 100 % implied probability. Other brackets show varied leadership: “Yes” leads in the 78‑79 °F market (price 0.9155, 91.6 % probability), while “No” dominates all others, including the 84‑85 °F and 92 °F+ markets where “No” holds 99.3 % and 100 % probabilities respectively.
Path to the leading outcome
For the “No” outcome in the 73 °F or below market to be correct, the highest temperature must be at least 74 °F. Consequently, any temperature in the 74‑75 °F, 76‑77 °F, 78‑79 °F, 80‑81 °F, 82‑83 °F, 84‑85 °F, 86‑87 °F, 88‑89 °F, 90‑91 °F, or 92 °F+ bands would satisfy the “No” condition. The market’s current pricing reflects a consensus that the high will fall well above the 73 °F threshold, most likely in the 78‑83 °F range where volume is highest. If the official Wunderground record on July 5 shows a high of 74 °F or higher, the “No” side will settle at 1.0, confirming the market’s leading view.
What could change the pricing
Several factors could shift the odds away from the current “No” dominance. A sudden cold front or an unseasonably cool air mass could drive the high temperature below 73 °F, boosting the “Yes” price for the 73 °F or below market and pulling probability toward the lower brackets. Conversely, an intensified heat wave, a
This analysis is provided for informational and editorial purposes only. Market signal prices reflect market-implied expectations, not verified outcomes or recommendations. Markets can be illiquid, volatile, and subject to ambiguous resolution criteria.