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Highest temperature in Hong Kong on July 31?

Weather · Polymarket · Called NO, verified LOSS · Jul 30, 2026
View the original Polymarket market →
Verified Outcome
LOSS
PillarLab called 27°C will NOT win (NO @ 86.5%).
Result: 27°C won. The call was wrong.
Analyzed: Jul 30, 2026, 8:01 PM UTC
Market resolved: Aug 3, 2026, 7:22 AM UTC
Called 83h before resolution. The call was made before the outcome was known.

https://polymarket.com/event/highest-temperature-in-hong-kong-on-july-31-2026?r=Karlos#hvHgjzK

PillarLab
📡 Fetching Polymarket data...
PillarLab
✅ Got data from Polymarket API!0.4s
PillarLab
🔍 Step 1: Detecting market type and category...
PillarLab
✅ Category: 🌦️ WEATHER ✅ Type: MULTI_CANDIDATE 📊 Market: Highest temperature in Hong Kong on July 31? 📅 Date: 2026-07-31T12:00:00Z 💰 Volume: $57,090 Current Odds: • 28°C: 47% • 29°C: 31.5% • 27°C: 13.5% • 30°C: 8% • 31°C: 2.5% • 32°C: 1% • 33°C: 0.3% • 34°C or higher: 0.2%2.5s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
✅ Intelligence gathered: Forecast Models (GFS/ECMWF/NWS) · Historical Base Rate (NOAA) · Forecast Uncertainty / Ensemble · Storm Tracking (NHC) · Candidate Dossiers (case for + case against, every candidate ≥2%)14.1s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars — hang tight, ~20s...
PillarLab

📊 Market Summary

🌦️ Highest temperature in Hong Kong on July 31?

OutcomeCurrent Odds
28°C47%
29°C31.5%
27°C13.5%
30°C8%
31°C2.5%
32°C1%
33°C0.3%
34°C or higher0.2%

8 options total

PillarLab

🎯 Best Trade

  • Action: 27°C — NO @ 86.5%

  • Confidence: 🔴 LOW · Uncertainty: MEDIUM

  • Why — the case against 27°C:

  • 27°C is 4.7°C below the climatological mean max, a very large deviation.
  • No active storm or severe weather expected to suppress temperatures that much.
  • Monthly forecast normal to above-normal makes a sub-28°C outcome unlikely.
PillarLab

📈 Where the Market Stands

OptionMarketRead
28°C47%🔴 OVERPRICED
29°C31.5%🟢 UNDERPRICED
27°C13.5%🔴 OVERPRICED

Verdicts compare my own read against the market price — 🟢 UNDERPRICED (market has it too low) · 🔴 OVERPRICED (market has it too high). The analysis below is the why.

PillarLab

🔬 9-Pillar Analysis (Meteorological Method)

🌡️ 1. Forecast Consensus

No specific model forecast available, but HKO normals show mean max 31.7°C for July 31, and the monthly forecast is normal to above-normal, implying 28°C is below consensus.

📊 2. Ensemble Spread

No ensemble spread data found, but HKO cites a typical maximum-temperature forecast error of 1–3°C, indicating moderate uncertainty.

⏳ 3. Forecast Skill Decay

The forecast is within a week, and HKO's error guidance of 1–3°C is standard for this lead time, so skill decay is not extreme.

📈 4. Historical Base Rate

Climatological mean maximum for July 31 in Hong Kong is 31.7°C, making 27–28°C well below normal and less frequent historically.

🔀 5. Model Divergence

No model divergence data available; without a specific forecast, model disagreement cannot be assessed.

📍 6. Micro-Climate Bias

The Hong Kong Observatory station is urban, potentially subject to heat island effects, but normals already reflect this micro-climate.

🌀 7. Storm Track

No active tropical cyclone or severe weather is expected on July 31; Typhoon Noul dissipated on July 26, so no storm-induced cooling.

💰 8. Market Pricing

MEDIUM - The market heavily favors lower temperatures (28°C at 47%), while base rate suggests higher outcomes near 30–31°C are more common, but no specific forecast confirms either side.

⚡ 9. Contrarian Check

The main contrarian risk is that a brief cooling event (e.g., cloud or rain) could materialize and push the high to 28°C or even 27°C, but no evidence supports this.

PillarLab

⚠️ Disclaimer: AI can make mistakes. This is not financial advice, and not a meteorological forecast — verify against NWS/NOAA and current model output before placing any trades.

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