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Singapore June 4 Temperature: Market Calls 34°C

Singapore June 4 Temperature: Market Calls 34°C

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

MARKET CONCLUDED: Singapore's June 4 temperature has cleared 34°C. Market probability: 99.8%.

100% Market Probability +59.3% 24h
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Volume
$74.3K
$61.2K in 24h
Liquidity
$76.2K
Moderate depth
Time Left
8 hours
Resolves Jun 4
74K Vol. Jun 4, 2026

Singapore’s weather data has essentially closed this market before the day ends. The contract asking whether the highest temperature on June 4 hits 34°C is trading at 99.8% probability. That is not a forecast. That is the market saying the measurement is already in hand.

The question is whether Singapore’s highest temperature on June 4 reaches 34°C. The YES contract sits at $1.00. The NO contract sits at $0.00. The market closes at noon local time on June 4, 2026. Total volume has reached $74,291, with $61,188 of that moving in the last 24 hours alone.

How the 34°C Contract Works

Resolution depends on the highest recorded temperature in Singapore on June 4. A verified reading at or above 34°C pays YES. Any reading below 34°C pays NO. The measurement comes from official weather station data for Singapore, which sits roughly one degree north of the equator and runs hot year-round.

  • YES ($1.00, ~99.8% probability): Singapore’s peak temperature on June 4 hits 34°C or above.
  • NO ($0.00, ~0.2% probability): Singapore’s peak temperature on June 4 stays below 34°C.

The NO side requires Singapore’s daytime maximum to fall short of 34°C. For context, June in Singapore routinely sees afternoon highs between 31°C and 34°C, with occasional spikes above that band. A maximum below 34°C would require unusual cloud cover, sustained rainfall throughout the warmest part of the day, or a significant shift in the regional weather pattern. None of those conditions appear to be present on June 4.

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Momentum and Market Signals

The momentum composite here tells a clear story. The 24-hour price change of +55.7%, combined with a trend score of 64.60, reflects a single driver: actual temperature data coming in on June 4. Traders are not speculating about weather models. They are responding to real-time or near-real-time observations. The market moved from pricing uncertainty to pricing certainty as June 4 progressed.

Total volume of $74,291 is modest for a prediction market, and $61,188 of that arrived in the last 24 hours. Liquidity stands at $76,230. Volume below $1 million means this market can reprice sharply on a single data point, but with YES already at $1.00 and the day nearly complete, there is essentially no room left to move. The thin volume reflects the contract’s nature: a short-horizon weather event with a narrow resolution window.

  • The 24-hour price swing of +55.7% reflects observed June 4 temperature data, not model forecasts. Price moved as measurement replaced uncertainty.
  • The 1-hour change of +0.0% confirms the market has stabilized. No new information is expected to reprice this contract before noon resolution.
  • Liquidity at $76,230 slightly exceeds total volume, which suggests the order book was well-stocked anticipating demand as the day’s temperatures came in.
  • Trader sentiment is 99.8% YES versus 0.2% NO. The NO side represents residual uncertainty about data confirmation, not a genuine weather forecast disagreement.
  • The contract’s noon resolution deadline means any last-minute temperature reading before midday is the final relevant data point.

Lines Analysis: Singapore Temperature on June Four

Singapore’s Meteorological Service maintains continuous temperature monitoring across the island. The island’s tropical climate means June temperatures rarely dip below 31°C during daylight hours, and afternoon maxima of 34°C or above are well within the normal range. The market’s move to $1.00 follows the pattern of a contract resolving in real time: uncertainty collapses as the measurement window closes.

What would make this contract reprice toward NO? A maximum temperature landing at 33.9°C or below is the only path. That outcome requires a measurable cooling event during Singapore’s peak heating hours, typically between 1 PM and 4 PM local time. Given the noon resolution deadline, the relevant window is actually the morning hours through midday. Singapore’s morning temperatures on a typical June day are already in the low-to-mid 30s by late morning. The meteorological conditions required for a sub-34°C maximum before noon on a clear or partly cloudy June day are rare.

  • Singapore Meteorological Service temperature data through the morning hours on June 4 is the single most important signal. A reading at or above 34°C before noon confirms YES.
  • Any significant rainfall in the pre-noon hours could push the maximum below 34°C. Heavy convective rainfall is Singapore’s primary temperature suppressant.
  • Regional weather patterns, including any activity from the South China Sea or Straits of Malacca, would be the upstream driver of an unexpected cooling event.
  • The contract’s noon cutoff concentrates all resolution risk into morning conditions, not afternoon peak heat. That is a narrower window than a full-day maximum market.

With $74,291 in total volume and the price locked at $1.00, the data has already spoken. The remaining 0.2% NO probability reflects settlement confirmation lag, not genuine uncertainty about Singapore’s temperature on June 4.

LINES VERDICT

MARKET CONCLUDED

Singapore’s June 4 temperature has almost certainly cleared the 34°C threshold. The market priced this outcome in real time as observations arrived, leaving no analytical daylight between the measurement and the contract price.

What the market says: At 99.8% implied probability, this contract is effectively resolved. The only remaining uncertainty is formal data confirmation before the noon deadline. Volatility risk is negligible at this stage.

Key unknown: The single remaining question is whether official measurement confirmation arrives cleanly before the noon resolution window closes. No weather event or data revision is expected to change the outcome.

Frequently Asked Questions

It means the market prices YES as near-certain. A $1.00 YES contract pays $1.00 at resolution. The 0.2% NO probability represents residual settlement risk, not a weather forecast.

The NO contract pays if Singapore’s verified maximum temperature on June 4 stays below 34°C before the noon resolution deadline. At $0.00, the market assigns that outcome virtually zero probability.

Real-time or near-real-time Singapore temperature observations on June 4 drove the price. As actual readings came in above 34°C, uncertainty collapsed and the contract converged to $1.00.

Resolution is set for June 4, 2026 at 12:00 PM. The maximum temperature before that cutoff determines the outcome.

For a short-horizon weather contract, the volume is thin but sufficient. The price at $1.00 reflects observed data, not speculative positioning, so volume reliability matters less than the underlying measurement.

What Could Shift These Probabilities?

Clean Confirmation Before Noon

Singapore Meteorological Service data confirms a maximum temperature at or above 34°C before the noon cutoff. The contract resolves YES at $1.00. This is the scenario the market has already priced. No additional catalyst is needed beyond formal data confirmation arriving on schedule.

Unexpected Measurement Gap

A data reporting delay or station anomaly prevents official confirmation before the noon resolution window closes. This does not change the underlying temperature. It creates a settlement timing risk, not a weather forecast risk. The market's 0.2% NO probability captures this narrow scenario.

Morning Convective Rainfall

Heavy pre-noon rainfall across Singapore suppresses the maximum temperature below 34°C before the resolution deadline. Singapore does experience intense morning convective storms in June. If sustained cloud cover and rain persist through midday, the maximum recorded before noon could fall just short of the threshold. This is the only genuine meteorological path to NO.

Data Revision at Settlement

An unusual scenario where the resolution source applies a revised or averaged temperature dataset rather than the strict maximum reading. Prediction market resolutions occasionally hinge on data source interpretation. If the resolving methodology differs from a single-station maximum, the outcome could shift unexpectedly despite the underlying weather being clear.

Key macro factor: Singapore sits within the regional Southeast Asian heat pattern influenced by the Inter-Tropical Convergence Zone, which keeps June temperatures elevated regardless of El Nino or La Nina phase.

Market Timeline

Jun 2, 4:05 AM
Market Created
Jun 2, 4:25 AM
Event Start
Jun 2, 4:36 AM
Market Opened
12:00 PM
Market Resolution

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