GroupPOLYMARKET

Event GroupPOLYMARKETCulture

Who will be cast on Dancing With the Stars: Season 35?

Name: Who will be cast on Dancing With the Stars: Season 35?
End: 2027-03-31T00:00:00.000Z

Total Volume

$1.60K

Events

Markets

Trade on Polymarket

Who will be cast on Dancing With the Stars: Season 35?

Vol

$1.60K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.60K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.60K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Miranda McWhorter be cast in Dancing With the Stars: Season 35?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Miranda McWhorter be cast in Dancing With the Stars: Season 35?	Poly	5%
Will Ashtin Earle be cast in Dancing With the Stars: Season 35?	Poly	4%
Will Rob Rausch be cast in Dancing With the Stars: Season 35?	Poly	2%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$1.60K

Volume

Markets

Platforms

About This Event

Dancing with the Stars is a reality dance competition in which celebrities are paired with professional dancers to perform dance routines. This market will resolve to "Yes" if the listed individual is announced as a contestant on Dancing With the Stars: Season 35. Otherwise, this market will resolve to "No". If the listed individual is not announced as a contestant by the end of the first episode of Dancing With the Stars: Season 35, this market will resolve to "No". This market will resolve

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:** Thursday, October 8, 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 be cast on Dancing With the Stars: Season 35?
**Category:** Culture | **Status:** active
**Resolution Date:** Mar 31, 2027 (174 days left)
**Time Pressure:** Low

**Description:** Dancing with the Stars is a reality dance competition in which celebrities are paired with professional dancers to perform dance routines.

This market will resolve to "Yes" if the listed individual is announced as a contestant on Dancing With the Stars: Season 35. Otherwise, this market will resolve to "No".

If the listed individual is not announced as a contestant by the end of the first episode of Dancing With the Stars: Season 35, this market will resolve to "No".

This market will resolve 

**Resolution Criteria (Sample):**
"Dancing with the Stars is a reality dance competition in which celebrities are paired with professional dancers to perform dance routines.

This market will resolve to "Yes" if the listed individual is announced as a contestant on Dancing With the Stars: Season 35. Otherwise, this market will resolv"

## 2. Market liquidity & Volume
* **Total Volume:** $1.6K
* **Total Liquidity:** $644
* **Activity Level:** Stable (Vol/Liq Ratio: 2.48)

## 3. Market Data (Prices & Odds)
### 1. Will Rob Rausch be cast in Dancing With the Stars: Season 35?
- **Polymarket** (End: Mar 31, 2027): Vol $1.3K
  DATA: [Yes: 2.0% (0.0%)] | [No: 98.0% (0.0%)]

### 2. Will Ashtin Earle be cast in Dancing With the Stars: Season 35?
- **Polymarket** (End: Mar 31, 2027): Vol $145
  DATA: [Yes: 4.3% (0.0%)] | [No: 95.7% (0.0%)]

### 3. Will Miranda McWhorter be cast in Dancing With the Stars: Season 35?
- **Polymarket** (End: Mar 31, 2027): Vol $109
  DATA: [Yes: 5.3% (0.0%)] | [No: 94.8% (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