Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Trnava Mayoral Election Winner

Name: Trnava Mayoral Election Winner
End: 2026-10-25T03:59:00.000Z

Total Volume

$15.39K

Events

Markets

Trade on Polymarket

Trnava Mayoral Election Winner

Vol

$15.39K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $15.39K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $15.39K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

4 markets tracked

Will Eva Nemčovská win the 2026 Trnava mayoral election?

No data available

Single-Platform Markets(4)

Market	Platform	Price
Will Eva Nemčovská win the 2026 Trnava mayoral election?	Poly	51%
Will Branislav Baroš win the 2026 Trnava mayoral election?	Poly	39%
Will Andrea Čajková win the 2026 Trnava mayoral election?	Poly	6%
Will Ľubica Horváthová win the 2026 Trnava mayoral election?	Poly	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$15.39K

Volume

Markets

Platforms

About This Event

The 2026 Trnava mayoral election is currently scheduled to be held on October 24, 2026. This market will resolve according to the candidate who becomes the next Mayor of Trnava as a result of this election. Temporary, interim, or placeholder mayors appointed before the election will not be considered. If the result of this election isn't known by March 31, 2027, 11:59 PM ET, the market will resolve to "Other". This market will resolve based on the results of this election, as indicated by a

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Trnava Mayoral Election Winner
**Category:** Politics | **Status:** active
**Resolution Date:** Oct 25, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** The 2026 Trnava mayoral election is currently scheduled to be held on October 24, 2026.

This market will resolve according to the candidate who becomes the next Mayor of Trnava as a result of this election.

Temporary, interim, or placeholder mayors appointed before the election will not be considered.

If the result of this election isn't known by March 31, 2027, 11:59 PM ET, the market will resolve to "Other".

This market will resolve based on the results of this election, as indicated by a 

**Resolution Criteria (Sample):**
"The 2026 Trnava mayoral election is currently scheduled to be held on October 24, 2026.

This market will resolve according to the candidate who becomes the next Mayor of Trnava as a result of this election.

Temporary, interim, or placeholder mayors appointed before the election will not be conside"

## 2. Market liquidity & Volume
* **Total Volume:** $15.4K
* **Total Liquidity:** $49.4K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.31)

## 3. Market Data (Prices & Odds)
### 1. Will Eva Nemčovská win the 2026 Trnava mayoral election?
- **Polymarket** (End: Oct 25, 2026): Vol $4.3K
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (0.0%)]

### 2. Will Branislav Baroš win the 2026 Trnava mayoral election?
- **Polymarket** (End: Oct 25, 2026): Vol $6.7K
  DATA: [Yes: 38.5% (0.0%)] | [No: 61.5% (0.0%)]

### 3. Will Ľubica Horváthová win the 2026 Trnava mayoral election?
- **Polymarket** (End: Oct 25, 2026): Vol $1.1K
  DATA: [Yes: 0.5% (0.0%)] | [No: 99.5% (0.0%)]

### 4. Will Andrea Čajková win the 2026 Trnava mayoral election?
- **Polymarket** (End: Oct 25, 2026): Vol $3.4K
  DATA: [Yes: 5.5% (0.0%)] | [No: 94.5% (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