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GroupPOLYMARKET

Event GroupPOLYMARKETCulture

Margot Robbie divorce by June 30?

Name: Margot Robbie divorce by June 30?
End: 2026-06-30T00:00:00.000Z

Total Volume

$584.30

Events

Markets

Trade on Polymarket

Margot Robbie divorce by June 30?

Vol

$584.30

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $584.30

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $584.30

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Margot Robbie divorce by June 30?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Margot Robbie divorce by June 30?	Poly	54%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

54%

Top Probability

$584.30

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if Margot Robbie and/or Tom Ackerley announce their intention to divorce by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". An announcement by the specified date of their intention to divorce will be sufficient for a "Yes" resolution, regardless of whether the divorce later actually occurs, or whether the actual divorce occurs outside of the timeframe of this market. The resolution source will be statements from Margot Robbie and/or To

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

Custom AI Analysis Prompt

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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:** Saturday, August 22, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

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## 1. Event Snapshot
**Event:** Margot Robbie divorce by June 30?
**Category:** Culture | **Status:** active
**Resolution Date:** Jun 30, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to "Yes" if Margot Robbie and/or Tom Ackerley announce their intention to divorce by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

An announcement by the specified date of their intention to divorce will be sufficient for a "Yes" resolution, regardless of whether the divorce later actually occurs, or whether the actual divorce occurs outside of the timeframe of this market.

The resolution source will be statements from Margot Robbie and/or To

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if Margot Robbie and/or Tom Ackerley announce their intention to divorce by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

An announcement by the specified date of their intention to divorce will be sufficient for a "Yes" resolution, regar"

## 2. Market liquidity & Volume
* **Total Volume:** $584
* **Total Liquidity:** $15
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 38.48)

## 3. Market Data (Prices & Odds)
### 1. Margot Robbie divorce by June 30?
- **Polymarket** (End: Jun 30, 2026): Vol $584
  DATA: [Yes: 53.6% (0.0%)] | [No: 46.4% (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.

POLYMARKETCulture