This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

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

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

Total Volume

$2.08K

Events

Markets

Trade on Polymarket

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

Vol

$2.08K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $2.08K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $2.08K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

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

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Reform win a mayorship in the 2026 United Kingdom local elections?	Poly	7%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$2.08K

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 Reform UK 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 Reform UK if they are officially nominated by Reform UK and are registered for the relevant election in affiliation with Reform UK. Independent candidates will not count for any party. Only the following mayo

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 Reform 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 Reform UK 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 Reform UK if they are officially nominated by Reform UK and are registered for the relevant election in affiliation with Reform UK. Independent candidates will not count for any party.

Only the following mayo

**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 Reform UK 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 Reform UK"

## 2. Market liquidity & Volume
* **Total Volume:** $2.1K
* **Total Liquidity:** $11.0K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.19)

## 3. Market Data (Prices & Odds)
### 1. Will Reform win a mayorship in the 2026 United Kingdom local elections?
- **Polymarket** (End: May 7, 2026): Vol $2.1K
  DATA: [Yes: 7.0% (0.0%)] | [No: 93.0% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETPolitics