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Event GroupPOLYMARKETWorld

# of seats won by PT in 2026 Thailand Legislative Election?

Name: # of seats won by PT in 2026 Thailand Legislative Election?
End: 2026-02-08T00:00:00.000Z

Total Volume

$362.18K

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Markets

Trade on Polymarket

# of seats won by PT in 2026 Thailand Legislative Election?

Vol

$362.18K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $362.18K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $362.18K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Will the Pheu Thai Party (PT) win 110 or more seats in the 2026 Thai legislative election?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will the Pheu Thai Party (PT) win 110 or more seats in the 2026 Thai legislative election?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$362.18K

Volume

Markets

Platforms

About This Event

The Thai House of Representatives was dissolved on December 12, 2025, triggering a snap legislative election within 45–60 days to elect members of the Thai House of Representatives (Sapha Phuthaen Ratsadon). This market will resolve according to the number of seats held by the Pheu Thai Party (PT) in the Thai House of Representatives as a result of the 2026 Thai legislative election. This market will resolve based solely on the number of seats won by the Pheu Thai Party (PT), and not on any co

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, August 22, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

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## 1. Event Snapshot
**Event:** # of seats won by PT in 2026 Thailand Legislative Election?
**Category:** World | **Status:** active
**Resolution Date:** Feb 8, 2026 (Ended)
**Time Pressure:** Expired

**Description:** The Thai House of Representatives was dissolved on December 12, 2025, triggering a snap legislative election within 45–60 days to elect members of the Thai House of Representatives (Sapha Phuthaen Ratsadon).

This market will resolve according to the number of seats held by the Pheu Thai Party (PT) in the Thai House of Representatives as a result of the 2026 Thai legislative election.

This market will resolve based solely on the number of seats won by the Pheu Thai Party (PT), and not on any co

**Resolution Criteria (Sample):**
"The Thai House of Representatives was dissolved on December 12, 2025, triggering a snap legislative election within 45–60 days to elect members of the Thai House of Representatives (Sapha Phuthaen Ratsadon).

This market will resolve according to the number of seats held by the Pheu Thai Party (PT) "

## 2. Market liquidity & Volume
* **Total Volume:** $191.7K
* **Total Liquidity:** $108.9K
* **Activity Level:** Stable (Vol/Liq Ratio: 1.76)

## 3. Market Data (Prices & Odds)
### 1. Will the Pheu Thai Party (PT) win 110 or more seats in the 2026 Thai legislative election?
- **Polymarket** (End: Feb 8, 2026): Vol $191.7K
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (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.

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