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GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Ruben Gallego out as US Senator by May 31?

Name: Ruben Gallego out as US Senator by May 31?
End: 2026-05-31T00:00:00.000Z

Total Volume

$3.32K

Events

Markets

Trade on Polymarket

Ruben Gallego out as US Senator by May 31?

Vol

$3.32K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $3.32K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $3.32K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Ruben Gallego out as US Senator by May 31?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Ruben Gallego out as US Senator by May 31?	Poly	3%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$3.32K

Volume

Markets

Platforms

About This Event

This market will resolve to “Yes” if Ruben Gallego ceases to be United States Senator from Arizona for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”. An announcement of Gallego'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 Ruben Gal

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:** Friday, July 10, 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:** Ruben Gallego out as US Senator by May 31?
**Category:** Politics | **Status:** active
**Resolution Date:** May 31, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to “Yes” if Ruben Gallego ceases to be United States Senator from Arizona for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”.

An announcement of Gallego'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 Ruben Gal

**Resolution Criteria (Sample):**
"This market will resolve to “Yes” if Ruben Gallego ceases to be United States Senator from Arizona for any period of time between market creation and the specified date (ET). Otherwise, this market will resolve to “No”.

An announcement of Gallego's resignation/removal before this market's end date "

## 2. Market liquidity & Volume
* **Total Volume:** $3.3K
* **Total Liquidity:** $10.4K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.32)

## 3. Market Data (Prices & Odds)
### 1. Ruben Gallego out as US Senator by May 31?
- **Polymarket** (End: May 31, 2026): Vol $3.3K
  DATA: [Yes: 3.1% (0.0%)] | [No: 96.9% (0.0%)]

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## 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