This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Will Green Party win a mayorship in the 2026 United Kingdom local elections?

Name: Will Green Party win a mayorship in the 2026 United Kingdom local elections?
End: 2026-05-07T06:00:00.000Z

Total Volume

$50.56K

Events

Markets

Trade on Polymarket

Will Green Party win a mayorship in the 2026 United Kingdom local elections?

Vol

$50.56K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $50.56K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $50.56K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Will Green Party win a mayorship in the 2026 United Kingdom local elections?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Green Party win a mayorship in the 2026 United Kingdom local elections?	Poly	91%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

91%

Top Probability

$50.56K

Volume

Markets

Platforms

About This Event

United Kingdom local elections are currently scheduled to be held on May 7, 2026. This market will resolve to "Yes" if a Green Party candidate wins a mayorship as a result of this election. Otherwise, this market will resolve to "No". A candidate will be considered an official candidate of the Green Party if they are officially nominated by the Green Party and are registered for the relevant election in affiliation with the Green Party. Independent candidates will not count for any party. Onl

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%).

---

## 1. Event Snapshot
**Event:** Will Green Party win a mayorship in the 2026 United Kingdom local elections?
**Category:** Politics | **Status:** active
**Resolution Date:** May 7, 2026 (Ended)
**Time Pressure:** Expired

**Description:** United Kingdom local elections are currently scheduled to be held on May 7, 2026.

This market will resolve to "Yes" if a Green Party candidate wins a mayorship as a result of this election. Otherwise, this market will resolve to "No".

A candidate will be considered an official candidate of the Green Party if they are officially nominated by the Green Party and are registered for the relevant election in affiliation with the Green Party. Independent candidates will not count for any party.

Onl

**Resolution Criteria (Sample):**
"United Kingdom local elections are currently scheduled to be held on May 7, 2026.

This market will resolve to "Yes" if a Green Party candidate wins a mayorship as a result of this election. Otherwise, this market will resolve to "No".

A candidate will be considered an official candidate of the Gre"

## 2. Market liquidity & Volume
* **Total Volume:** $50.6K
* **Total Liquidity:** $12.4K
* **Activity Level:** Stable (Vol/Liq Ratio: 4.08)

## 3. Market Data (Prices & Odds)
### 1. Will Green Party win a mayorship in the 2026 United Kingdom local elections?
- **Polymarket** (End: May 7, 2026): Vol $50.6K
  DATA: [Yes: 90.5% (0.0%)] | [No: 9.5% (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