GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Hsinchu City Mayor Election Winner

Name: Hsinchu City Mayor Election Winner
End: 2026-11-28T23:59:00.000Z

Total Volume

$21.35K

Events

Markets

Trade on Polymarket

Hsinchu City Mayor Election Winner

Vol

$21.35K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $21.35K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $21.35K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Ann Kao win the next Hsinchu City Mayor election?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Ann Kao win the next Hsinchu City Mayor election?	Poly	86%
Will Chuang Ching-cheng win the next Hsinchu City Mayor election?	Poly	3%
Will Ho Chih-yung win the next Hsinchu City Mayor election?	Poly	2%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

86%

Top Probability

$21.35K

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 Mayor of Hsinchu City 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, 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 results of the elec

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

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:** Hsinchu City Mayor 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 Mayor of Hsinchu City 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, 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 results of the elec

**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 Mayor of Hsinchu City as a result of this election.

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

If "

## 2. Market liquidity & Volume
* **Total Volume:** $21.4K
* **Total Liquidity:** $34.7K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.62)

## 3. Market Data (Prices & Odds)
### 1. Will Ann Kao win the next Hsinchu City Mayor election?
- **Polymarket** (End: Jun 30, 2027): Vol $20.4K
  DATA: [Yes: 86.0% (0.0%)] | [No: 14.0% (0.0%)]

### 2. Will Chuang Ching-cheng win the next Hsinchu City Mayor election?
- **Polymarket** (End: Jun 30, 2027): Vol $578
  DATA: [Yes: 3.0% (0.0%)] | [No: 97.0% (0.0%)]

### 3. Will Ho Chih-yung win the next Hsinchu City Mayor election?
- **Polymarket** (End: Jun 30, 2027): Vol $331
  DATA: [Yes: 2.1% (0.0%)] | [No: 98.0% (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".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETPolitics