This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETClimate

Will a hurricane make landfall in the US by May 31?

Name: Will a hurricane make landfall in the US by May 31?
End: 2026-05-31T00:00:00.000Z

Total Volume

$16.68K

Events

Markets

Trade on Polymarket

Will a hurricane make landfall in the US by May 31?

Vol

$16.68K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $16.68K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $16.68K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Will a hurricane make landfall in the US by May 31?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will a hurricane make landfall in the US by May 31?	Poly	4%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$16.68K

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if a hurricane makes landfall in the conterminous United States within this market's timeframe, between December 4, 2025, and May 31, 2026, 11:59 PM ET as described in official National Hurricane Center advisories (https://www.nhc.noaa.gov/archive/2025/). If no tropical systems make landfall in the conterminous United States at hurricane status within this market's timeframe, this market will resolve to "No". This market may only resolve to "No" after May 31, 2

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Wednesday, July 15, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Will a hurricane make landfall in the US by May 31?
**Category:** Climate | **Status:** active
**Resolution Date:** May 31, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to "Yes" if a hurricane makes landfall in the conterminous United States within this market's timeframe, between December 4, 2025, and May 31, 2026, 11:59 PM ET as described in official National Hurricane Center advisories (https://www.nhc.noaa.gov/archive/2025/). If no tropical systems make landfall in the conterminous United States at hurricane status within this market's timeframe, this market will resolve to "No".

This market may only resolve to "No" after May 31, 2

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if a hurricane makes landfall in the conterminous United States within this market's timeframe, between December 4, 2025, and May 31, 2026, 11:59 PM ET as described in official National Hurricane Center advisories (https://www.nhc.noaa.gov/archive/2025/). If no trop"

## 2. Market liquidity & Volume
* **Total Volume:** $16.7K
* **Total Liquidity:** $602
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 27.70)

## 3. Market Data (Prices & Odds)
### 1. Will a hurricane make landfall in the US by May 31?
- **Polymarket** (End: May 31, 2026): Vol $16.7K
  DATA: [Yes: 4.0% (0.0%)] | [No: 96.0% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETClimate