Name: Berlin State Election Winner
End: 2026-09-20T00:00:00.000Z

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Berlin State Election Winner | PredictPedia

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Polymarket

markets · $2.57M

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $2.57M

100%

Polymarket leads

Price ChartMatched Markets Price Graph

8 markets tracked

Will CDU win the most seats in the 2026 Berlin state elections?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will CDU win the most seats in the 2026 Berlin state elections?	Poly	57%
Will Grüne win the most seats in the 2026 Berlin state elections?	Poly	15%
Will Linke win the most seats in the 2026 Berlin state elections?	Poly	12%
Will AfD win the most seats in the 2026 Berlin state elections?	Poly	9%
Will SPD win the most seats in the 2026 Berlin state elections?	Poly	7%
Will BSW win the most seats in the 2026 Berlin state elections?	Poly	1%
Will FDP win the most seats in the 2026 Berlin state elections?	Poly	0%
Will FW win the most seats in the 2026 Berlin state elections?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

57%

Top Probability

$2.57M

Volume

Markets

Platforms

About This Event

Parliamentary elections to elect the Abgeordnetehaus of Berlin are scheduled to take place in Berlin on September 20, 2026. This market will resolve to the political party that wins the greatest number of seats in the formal deliberative assembly of Berlin (Abgeordnetenhaus) as a result of this election. If voting in the Berlin election for the Abgeordnetenhaus does not occur by December 31, 2026, this market will resolve to "Other". In the case of a tie between this party or coalition and an

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:** Thursday, April 16, 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:** Berlin State Election Winner
**Category:** Politics | **Status:** active
**Resolution Date:** Sep 20, 2026 (157 days left)
**Time Pressure:** Low

**Description:** Parliamentary elections to elect the Abgeordnetehaus of Berlin are scheduled to take place in Berlin on September 20, 2026.

This market will resolve to the political party that wins the greatest number of seats in the formal deliberative assembly of Berlin (Abgeordnetenhaus) as a result of this election.

If voting in the Berlin election for the Abgeordnetenhaus does not occur by December 31, 2026, this market will resolve to "Other".

In the case of a tie between this party or coalition and an

**Resolution Criteria (Sample):**
"Parliamentary elections to elect the Abgeordnetehaus of Berlin are scheduled to take place in Berlin on September 20, 2026.

This market will resolve to the political party that wins the greatest number of seats in the formal deliberative assembly of Berlin (Abgeordnetenhaus) as a result of this ele"

## 2. Market liquidity & Volume
* **Total Volume:** $2.57M
* **Total Liquidity:** $103.3K
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 24.90)

## 3. Market Data (Prices & Odds)
### 1. Will AfD win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $2.19M
  DATA: [Yes: 9.2% (0.0%)] | [No: 90.8% (0.0%)]

### 2. Will SPD win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $287.3K
  DATA: [Yes: 7.3% (0.0%)] | [No: 92.7% (0.0%)]

### 3. Will Linke win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $11.6K
  DATA: [Yes: 11.5% (0.0%)] | [No: 88.5% (0.0%)]

### 4. Will BSW win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $26.2K
  DATA: [Yes: 0.5% (0.0%)] | [No: 99.5% (0.0%)]

### 5. Will CDU win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $15.1K
  DATA: [Yes: 57.5% (0.0%)] | [No: 42.5% (0.0%)]

### 6. Will Grüne win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $27.8K
  DATA: [Yes: 14.9% (0.0%)] | [No: 85.0% (0.0%)]

### 7. Will FDP win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $10.3K
  DATA: [Yes: 0.4% (0.0%)] | [No: 99.7% (0.0%)]

### 8. Will FW win the most seats in the 2026 Berlin state elections?
- **Polymarket** (End: Sep 20, 2026): Vol $7.0K
  DATA: [Yes: 0.4% (0.0%)] | [No: 99.7% (0.0%)]

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## 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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