Market snapshot: Oct 14, 2026, 9:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETCulture

Who will attend Taylor Swift and Travis Kelce's wedding?

Name: Who will attend Taylor Swift and Travis Kelce's wedding?
End: 2027-01-01T04:59:00.000Z

Total Volume

$1.40M

Events

Markets

Trade on Polymarket

Who will attend Taylor Swift and Travis Kelce's wedding?

Vol

$1.40M

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.40M

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Price gaps

of 0 cross-platform

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Volume DistributionTotal: $1.40M

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Will Max Martin attend Taylor Swift's wedding?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Max Martin attend Taylor Swift's wedding?	Poly	18%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

18%

Top Probability

$1.40M

Volume

Markets

Platforms

About This Event

This market will resolve according to the named people who attend Taylor Swift and Travis Kelce's wedding. If no wedding between Taylor Swift and Travis Kelce occurs by December 31, 2026, 11:59PM ET, this market will resolve to "No". the resolution source for this market will be photographic or video evidence of the event, or by statements from Taylor Swift, Travis Kelce, the attendee, or their legal or social media representatives. Only physical attendance of the event will qualify; virtual

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:** Wednesday, October 14, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Who will attend Taylor Swift and Travis Kelce's wedding?
**Category:** Culture | **Status:** active
**Resolution Date:** Jan 1, 2027 (79 days left)
**Time Pressure:** Low

**Description:** This market will resolve according to the named people who attend Taylor Swift and Travis Kelce's wedding.

If no wedding between Taylor Swift and Travis Kelce occurs by December 31, 2026, 11:59PM ET, this market will resolve to "No". 

the resolution source for this market will be photographic or video evidence of the event, or by statements from Taylor Swift, Travis Kelce, the attendee, or their legal or social media representatives. Only physical attendance of the event will qualify; virtual 

**Resolution Criteria (Sample):**
"This market will resolve according to the named people who attend Taylor Swift and Travis Kelce's wedding.

If no wedding between Taylor Swift and Travis Kelce occurs by December 31, 2026, 11:59PM ET, this market will resolve to "No". 

the resolution source for this market will be photographic or v"

## 2. Market liquidity & Volume
* **Total Volume:** $182.4K
* **Total Liquidity:** $1.6K
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 115.84)

## 3. Market Data (Prices & Odds)
### 1. Will Max Martin attend Taylor Swift's wedding?
- **Polymarket** (End: Dec 31, 2026): Vol $182.4K
  DATA: [Yes: 18.1% (0.0%)] | [No: 82.0% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETCulture