GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

John Fetterman out by...?

Name: John Fetterman out by...?
End: 2026-12-31T00:00:00.000Z

Total Volume

$22.80K

Events

Markets

Trade on Polymarket

John Fetterman out by...?

Vol

$22.80K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $22.80K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $22.80K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Fetterman out by December 31, 2026?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Fetterman out by December 31, 2026?	Poly	11%
Fetterman out by September 30, 2026?	Poly	4%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

11%

Top Probability

$22.80K

Volume

Markets

Platforms

About This Event

This market will resolve to “Yes” if John Fetterman ceases to be U.S. Senator from Pennsylvania for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”. An announcement of John Fetterman's resignation/removal before this market's end date will immediately resolve this market to "Yes", regardless of when the announced resignation/removal goes into effect. The resolution source for this market will be official information from John

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, September 5, 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:** John Fetterman out by...?
**Category:** Politics | **Status:** active
**Resolution Date:** Dec 31, 2026 (117 days left)
**Time Pressure:** Low

**Description:** This market will resolve to “Yes” if John Fetterman ceases to be U.S. Senator from Pennsylvania for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”.

An announcement of John Fetterman's resignation/removal before this market's end date will immediately resolve this market to "Yes", regardless of when the announced resignation/removal goes into effect.

The resolution source for this market will be official information from John 

**Resolution Criteria (Sample):**
"This market will resolve to “Yes” if John Fetterman ceases to be U.S. Senator from Pennsylvania for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”.

An announcement of John Fetterman's resignation/removal before this market's end d"

## 2. Market liquidity & Volume
* **Total Volume:** $22.8K
* **Total Liquidity:** $58.9K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.39)

## 3. Market Data (Prices & Odds)
### 1. Fetterman out by December 31, 2026?
- **Polymarket** (End: Dec 31, 2026): Vol $10.9K
  DATA: [Yes: 11.2% (0.0%)] | [No: 88.8% (0.0%)]

### 2. Fetterman out by September 30, 2026?
- **Polymarket** (End: Dec 31, 2026): Vol $11.9K
  DATA: [Yes: 4.3% (0.0%)] | [No: 95.8% (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.

POLYMARKETPolitics