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Singapore High Temp July 5: Will It Hit 32°C?

Singapore High Temp July 5: Will It Hit 32°C?

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SR Sofia Renard Climate & Science Analyst
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Lines Verdict
YES at 51% implied probability

UNCERTAIN: Climatology supports 32°C as the modal outcome, but the wide spread across neighboring brackets keeps this market at near-parity. Market probability: 50.5%.

51% Market Probability
1h +0.0% 24h +0.0% Trend Weak (35/100)
Volume
$3.6K
$3.6K in 24h
Liquidity
$42.2K
Moderate depth
Time Left
1 day
Resolves Jul 5
4K Vol. Jul 5, 2026

Singapore sits two degrees north of the equator in the middle of its wet season, and the market cannot decide what that means for July 5. The 32°C outcome holds a 50.5% implied probability, which is essentially a coin flip. That is not apathy. That is genuine meteorological uncertainty compressed into a two-day window.

The market question asks: what will the highest temperature in Singapore be on July 5, 2026? The 32°C outcome trades at $0.51 YES and $0.50 NO. The market resolves at noon Singapore time on July 5. Total volume stands at $2,887, all of it placed in the last 24 hours.

How the 32°C Contract Works

Resolution selects the single bracket that matches Singapore’s recorded daily maximum on July 5. The available outcomes span 25°C or below through 35°C or higher, in one-degree increments. One bracket wins. All others pay nothing.

  • YES on 32°C pays out if Singapore’s official daily maximum lands in the 32°C bracket on July 5.
  • NO on 32°C pays out if the recorded maximum falls in any other bracket, whether higher or lower.

The NO side covers a wide range of alternatives. Singapore’s daily maximum missing 32°C is actually the statistically normal outcome when you consider how many competing brackets exist. The recorded high landing at 33°C, 31°C, or 34°C each independently routes money away from this contract. Any single alternative outcome does not need to be probable on its own. The field of alternatives collectively makes NO structurally competitive, which is exactly why the price sits at near-parity.

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Momentum and Market Signals

The momentum composite here is simple: a flat 1-hour price change of zero percent combined with a trend score of 44.67 signals a market that has priced in available information and is now waiting. The 24-hour change is unavailable because this contract launched within the last 24 hours. The price moved upward in three separate increments on July 3, totaling roughly 24 percentage points from open. That initial surge reflects traders anchoring to climatological averages for Singapore in July.

Volume of $2,887 with $40,872 in liquidity tells a specific story. Liquidity is deep relative to volume, which means the order book can absorb new trades without large price swings. But total volume well below $1 million means this market is thin on trading activity. A single informed bet, say someone with access to a reliable forecast model, could move the price meaningfully before resolution.

Key Factors

  • The 32°C bracket sits near Singapore’s climatological July daily maximum average, which is why the market opened there and why volume concentrated immediately.
  • Singapore’s Meteorological Service issues short-range forecasts that update daily. Any forecast published on July 4 pointing toward 33°C or higher would reprice this contract sharply downward.
  • The 1-hour price change of zero percent and trend score of 44.67 indicate the market is in a holding pattern. No new information has arrived since the July 3 surge.
  • Thin volume below $1M means price can move sharply on a single forecast update or a coordinated position by informed traders.
  • The wet season context matters. Afternoon thunderstorms in Singapore typically cap daytime highs by triggering convective cooling, which can push the daily maximum toward the lower end of the 31°C to 33°C range rather than the upper end.

Lines Analysis: Singapore’s July Climate and the 32°C Thesis

Singapore’s July climate supports the 32°C bracket as the modal outcome. The island’s mean daily maximum in July typically falls in the 31°C to 33°C range, with the distribution centered near 32°C. That is the strongest argument for the YES side. The market is not mispriced relative to climatology. It is simply acknowledging that the distribution is wide enough that neighboring brackets each capture meaningful probability mass.

The case for the NO side rests on that same distributional width. Singapore records daily maxima above 33°C during strong dry spells and below 31°C during heavy monsoonal activity. The current period sits in the inter-monsoon transition zone, where neither extreme dominates. A cloudier-than-average July 5, with early afternoon convection, pushes the maximum toward 31°C. A drier, sunnier morning pushes it toward 33°C or 34°C. Both scenarios route money to NO.

Signals to Monitor

  • Singapore Meteorological Service forecast for July 5, published July 4: a predicted high of 33°C or above would shift market probability away from the 32°C bracket immediately.
  • Regional sea surface temperatures in the surrounding South China Sea: anomalously warm SSTs elevate the probability of higher daytime maxima.
  • Early morning cloud cover and humidity reports on July 5: thick cloud decks reduce incoming solar radiation and cap the afternoon maximum.
  • La Nina or El Nino status for the current season: neutral ENSO conditions, which currently prevail, support the climatological average rather than extreme outcomes in either direction.
  • Any sudden volume spike in the 33°C or 31°C competing brackets would signal informed traders repositioning based on updated forecast data.

Total volume of $2,887 reflects a market that formed quickly and has not yet attracted broad participation. The data currently favors the 32°C bracket as the single most likely outcome, but the combined probability of all other brackets exceeds 50%. That arithmetic defines the tension here. The market is pricing real meteorological uncertainty, not science denial or forecast consensus.

LINES VERDICT

UNCERTAIN: Climatology Favors YES but the Field Is Wide

Singapore’s July climatology centers on the 32°C bracket, but the distributional spread across neighboring outcomes keeps this market at near-parity. The data does not point to a mispriced contract. It points to a genuinely narrow temperature window where small forecast deviations shift the outcome.

What the market says: A 50.5% implied probability means traders treat this as a near-coin-flip. With resolution in under 48 hours and thin volume, any updated forecast from Singapore’s Meteorological Service could move this price sharply before the July 5 noon cutoff.

Key unknown: The July 4 official forecast from Singapore’s Meteorological Service is the single most important data point. A predicted high diverging from 32°C by even one degree would reprice this contract immediately.

Frequently Asked Questions

It means traders currently assign just over even odds that Singapore's official daily maximum on July 5 falls exactly in the 32°C bracket. The market treats this as a near-coin-flip based on available forecast data.

NO on 32°C pays if Singapore's recorded daily maximum on July 5 falls in any other bracket, including 31°C, 33°C, 34°C, or any other listed outcome. The field of alternatives makes NO a broad bet.

Singapore Meteorological Service's July 4 forecast update is the key trigger. A predicted high of 31°C or 33°C would shift probability away from the 32°C bracket and reprice competing outcomes.

The market resolves at noon Singapore time on July 5, 2026. Resolution uses the official daily maximum temperature recorded for Singapore on that date.

Total volume of $2,887 is well below $1 million, meaning liquidity is thin. A single informed trade could move the price sharply. Treat the 50.5% figure as a starting estimate, not a stable consensus.

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?

Sunny Morning Locks In 32°C

A clear, low-humidity morning on July 5 allows solar radiation to peak before afternoon cloud buildup. Singapore's daily maximum settles squarely in the 32°C bracket. The climatological average holds, the YES contract pays out, and the market proves its initial pricing correct.

Forecast Shifts to 33°C or Above

Singapore Meteorological Service publishes a July 4 forecast pointing to a hotter-than-average day. Traders in the 32°C bracket exit. Volume flows into 33°C and 34°C outcomes. The YES price collapses as the market reprices around a higher outcome, and NO pays out.

Thunderstorms Cap the Maximum at 31°C

Heavy early afternoon convection on July 5 triggers cooling before the daily maximum is reached. Singapore's official high lands at 31°C instead of 32°C. The NO contract pays. This is a realistic wet-season outcome that Singapore records multiple times per month in July.

Informed Trader Repositions on Proprietary Forecast

A single trader with access to a high-resolution mesoscale forecast model places a large bet on a competing bracket before the July 4 Met Service update. Thin liquidity means the price moves sharply on minimal volume. The 32°C bracket reprices from 50% to 30% or lower overnight.

Key macro factor: Current neutral ENSO conditions support Singapore's climatological July temperature distribution rather than pushing extremes in either direction.

Market Timeline

4:02 AM
Market Created
4:03 AM
Market Opened
Sunday, Jul 5
Market Resolution

Market Comments

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