GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Lienchiang County Magistrate Election Winner

Name: Lienchiang County Magistrate Election Winner
End: 2026-11-28T23:59:00.000Z

Total Volume

$5.52K

Events

Markets

Trade on Polymarket

Lienchiang County Magistrate Election Winner

Vol

$5.52K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $5.52K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $5.52K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Wang Chung-ming win the next Lienchiang County Magistrate election?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Wang Chung-ming win the next Lienchiang County Magistrate election?	Poly	87%
Will Tsao Erh-yuan win the next Lienchiang County Magistrate election?	Poly	5%
Will Tsao Erh-chang win the next Lienchiang County Magistrate election?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

87%

Top Probability

$5.52K

Volume

Markets

Platforms

About This Event

Taiwanese local elections are scheduled to be held on November 28, 2026. This market will resolve according to the candidate who becomes the next Magistrate of Lienchiang County as a result of this election. Temporary, interim, or placeholder Magistrates appointed before the election will not be considered. If the result of this election isn't known, or no candidate has been elected, by June 30, 2027, 11:59 PM ET, the market will resolve to "Other". This market will resolve based on the resu

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%).

---

## 1. Event Snapshot
**Event:** Lienchiang County Magistrate Election Winner
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 28, 2026 (85 days left)
**Time Pressure:** Low

**Description:** Taiwanese local elections are scheduled to be held on November 28, 2026.

This market will resolve according to the candidate who becomes the next Magistrate of Lienchiang County as a result of this election.

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

If the result of this election isn't known, or no candidate has been elected, by June 30, 2027, 11:59 PM ET, the market will resolve to "Other".

This market will resolve based on the resu

**Resolution Criteria (Sample):**
"Taiwanese local elections are scheduled to be held on November 28, 2026.

This market will resolve according to the candidate who becomes the next Magistrate of Lienchiang County as a result of this election.

Temporary, interim, or placeholder Magistrates appointed before the election will not be c"

## 2. Market liquidity & Volume
* **Total Volume:** $5.5K
* **Total Liquidity:** $13.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.41)

## 3. Market Data (Prices & Odds)
### 1. Will Wang Chung-ming win the next Lienchiang County Magistrate election?
- **Polymarket** (End: Jun 30, 2027): Vol $3.7K
  DATA: [Yes: 87.0% (0.0%)] | [No: 13.0% (0.0%)]

### 2. Will Tsao Erh-chang win the next Lienchiang County Magistrate election?
- **Polymarket** (End: Jun 30, 2027): Vol $1000
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 3. Will Tsao Erh-yuan win the next Lienchiang County Magistrate election?
- **Polymarket** (End: Jun 30, 2027): Vol $777
  DATA: [Yes: 5.0% (0.0%)] | [No: 95.0% (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