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Guangzhou July 2 Peak Heat: Can 34°C Clear the Market?

Guangzhou July 2 Peak Heat: Can 34°C Clear the Market?

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SR Sofia Renard Climate & Science Analyst
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Lines Verdict
YES at 100% implied probability

ADJACENT BINS DOMINATE: The 34°C outcome holds real probability for a Guangzhou July day, but multi-bin arithmetic and bearish 24-hour momentum favor competing outcomes. Market probability: 29%.

100% Market Probability
1h +0.0% 24h +68.4% Trend Weak (31/100)
Volume
$146.4K
$112.3K in 24h
Liquidity
$151.8K
Deep liquidity
Time Left
1 hour
Resolves Jul 2
146K Vol. Jul 2, 2026

Guangzhou sits in the middle of its hottest season, and a single-day temperature market is forcing traders to make a precise call. The July 2 peak temperature contract for 34°C is priced at 29 cents, implying just a 29% chance that the daily high lands exactly on that outcome. With eleven possible outcome bins spanning 28°C or below through 38°C or higher, that 29% figure reflects how thin the probability space is when you slice a continuous variable into one-degree increments.

The market question asks: what is the highest temperature in Guangzhou on July 2? The 34°C outcome trades at $0.29 YES and $0.71 NO. The contract resolves on July 2, 2026 at 12:00 UTC. Total volume stands at $39,169, with $34,639 of that arriving in the last 24 hours, which signals a sharp late-entry surge from traders positioning ahead of resolution.

How the Guangzhou July 2 Temperature Contract Works

YES pays out if Guangzhou’s highest recorded temperature on July 2 reaches exactly 34°C by the resolution standard used at close. NO covers every other outcome, including 33°C, 35°C, and all bins above or below. The resolution source is the market itself, tracking official meteorological readings. Traders are not betting on a range. They are betting on a single degree landing precisely at 34°C.

  • YES (34°C): priced at $0.29, implying a 29% probability that the daily high registers exactly at this level.
  • NO (all other outcomes): priced at $0.71, reflecting a 71% probability that the peak lands elsewhere across ten remaining bins.

The NO side wins on any reading that is not 34°C. Guangzhou’s summer climatology makes temperatures in the 33°C to 37°C band plausible on any given July day. The market’s 71% NO lean says the probability mass is spread across competing bins, not that cooler conditions are expected. If the forecast consensus clusters around 35°C or 36°C, the 34°C bin loses share directly.

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Momentum and Market Signals Into Resolution

The combined momentum signal is modestly bearish: the 1-hour change is flat at 0.0%, the 24-hour change is down 7.0%, and the trend score sits at 47.41, just below neutral. That composite points to traders rotating out of 34°C as updated forecast models or observational data shift probability toward adjacent bins. The driver is almost certainly a short-range weather forecast update that moved the expected peak toward 35°C or higher.

Volume is the most interesting data point here. Total volume is $39,169, with $34,639 arriving in 24 hours. That means nearly 88% of all trading happened in the final day before resolution. Liquidity is $40,229, which is thin enough that a single block trade can move the price meaningfully. When volume is this concentrated near resolution and liquidity is below $1 million, price can reprice sharply on the final forecast update.

  • The 24-hour price dropped 7.0%, connected to forecast models showing Guangzhou’s likely peak drifting above 34°C on July 2.
  • The 1-hour flat reading suggests the sell pressure has paused, not reversed.
  • Volume concentration in the final 24 hours signals informed late positioning, not passive holding.
  • Liquidity below $1 million means any fresh meteorological data release can move this contract sharply before close.
  • The trend score of 47.41 reflects mild bearish conviction, not a collapse, leaving room for reversal if morning temperatures come in lower than modeled.

Lines Analysis: Guangzhou Temperature Forecast vs. Market Price

The 34°C bin at 29% is not unreasonable for a Guangzhou July day. The Pearl River Delta’s summer pattern regularly produces daily highs between 32°C and 37°C, with the distribution centered closer to 34°C to 36°C during peak summer. If the short-range forecast has shifted toward 35°C as the most probable outcome, the 34°C bin loses share but does not become worthless. A 29% probability for a single one-degree bin in a multi-outcome market is actually above the uniform base rate of roughly 9% across eleven bins.

What makes NO the dominant price here is pure arithmetic, not meteorological certainty. Even if 34°C is the single most likely individual outcome, ten competing bins collectively hold more probability mass. The 35°C and 36°C bins are the primary competitors pulling share away from 34°C. If July 2 opens warm and afternoon heating overshoots early forecasts, 36°C or higher bins gain at 34°C’s direct expense.

  • China Meteorological Administration short-range forecasts for Guangzhou through July 2 are the single most important input to watch before resolution.
  • Any morning surface temperature reading above 31°C by 08:00 local time raises the probability that the afternoon peak exceeds 34°C.
  • Typhoon or tropical disturbance activity in the South China Sea can suppress peak temperatures by increasing cloud cover and humidity.
  • A sudden forecast revision toward 33°C or below would shift probability toward lower bins and reprice 34°C downward further.

Total volume of $39,169 is thin for a binary science market. The data favors adjacent bins, particularly 35°C and 36°C, as the primary competition for resolution. The 34°C bin at 29% reflects a market pricing genuine distributional uncertainty across a multi-outcome structure, not a clean directional call. Here is what the measurements are telling us: the market is pricing uncertainty, not science, because no single one-degree bin commands majority probability in a continuous distribution like daily peak temperature.

ADJACENT BINS DOMINATE

The 34°C outcome holds meaningful probability for a Guangzhou July day, but ten competing bins collectively absorb more probability mass, and the 24-hour momentum shows traders moving toward higher temperature outcomes. The data doesn’t care about the politics of this call: the arithmetic of a multi-bin market almost always makes NO the correct price on any single outcome.

What the market says: At 29% implied probability, the market treats 34°C as a real contender but not the frontrunner. With resolution less than 24 hours away and liquidity below $1 million, the price remains highly sensitive to the next China Meteorological Administration forecast update.

Key unknown: The final short-range temperature forecast for Guangzhou on July 2 from the China Meteorological Administration is the single data point that will reprice this contract before close. If that forecast shifts toward 35°C or higher, the 34°C bin loses share directly.

Frequently Asked Questions

It means traders collectively estimate a 29% chance Guangzhou's highest temperature on July 2 lands exactly at 34°C. Ten other outcome bins share the remaining 71% of probability.

NO pays out if Guangzhou's peak temperature on July 2 is anything other than 34°C, including 33°C, 35°C, 36°C, or any other bin in the eleven-outcome structure.

A China Meteorological Administration short-range forecast update for Guangzhou on July 2 is the primary mover. Any shift toward 35°C or higher directly reduces the 34°C bin's probability.

The contract resolves on July 2, 2026 at 12:00 UTC, using official meteorological temperature readings for Guangzhou's daily high.

Total volume is $39,169 and liquidity is $40,229, both below $1 million. Thin liquidity means a single block trade can shift the price sharply before resolution.

We aggregate the live positions of the top 50 Polymarket whales (ranked by 30-day tracked volume) into one composite reading per market. It refreshes every hour. The percentage shows how many of those whales hold YES versus NO; the net dollar position shows the cohort's directional exposure in dollars.

A convergence event fires when three or more tracked wallets buy the same outcome on the same market within a four-hour window. We surface these in the activity feed and the VIP digest.

No. Lines is an editorial and data product. We do not operate prediction markets, custody funds, or accept trades. All trade flows deep-link to Polymarket via our affiliate code. Probabilities shown are market-implied and not predictions or recommendations.

What Could Shift These Probabilities?

Forecast Locks onto 34°C

If the China Meteorological Administration's final July 2 forecast converges on 34°C as the peak, probability flows back into this bin. A cooler-than-expected morning temperature reading that still allows afternoon heating to reach 34°C without overshooting would be the ideal path. Thin liquidity means even modest buying pressure could push the YES price meaningfully higher.

Models Drift Higher

If short-range forecast models continue shifting the Guangzhou July 2 peak toward 35°C or 36°C, the 34°C bin loses probability share directly to adjacent bins. The 7% 24-hour drop already reflects this dynamic. Continued bearish momentum before resolution would push YES toward the 30-day low of $0.27.

Cloud Cover Caps the Peak

South China Sea tropical disturbances or increased cloud cover could suppress afternoon heating and bring the Guangzhou peak back down toward 33°C or 34°C from a higher forecast. If synoptic conditions shift overnight, the 34°C bin gains share from the 35°C and 36°C competitors in the final hours before resolution.

Extreme Heat Spike

A sudden amplification of the subtropical high-pressure system over southern China could push Guangzhou's July 2 peak above 37°C, routing probability entirely away from 34°C and toward the upper bins including 38°C or higher. This outcome would collapse the 34°C YES price to near zero with little warning before close.

Key macro factor: Pearl River Delta summer climatology places July daily highs in the 33°C to 37°C band, with peak probability distributed across multiple one-degree bins rather than concentrated at any single level.

Market Timeline

Jun 30, 4:03 AM
Market Created
Jun 30, 4:03 AM
Market Opened
12:00 PM
Market Resolution

Market Comments

Probabilities shown are market-implied and not predictions or recommendations. This content is for informational purposes only.