How many House Representatives will be expelled before June? | PredictPedia

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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:** Friday, April 17, 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:** How many House Representatives will be expelled before June?
**Category:** Elections | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** before June 2026

If the number of U.S. House Representatives expelled before June 2026 is exactly X then the market resolves to Yes.

**Resolution Criteria (Sample):**
"If the number of U.S. House Representatives expelled before June 2026 is at least 5, then the market resolves to Yes."

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. 5
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 1.0% (0.0%)] | [No: 99.0% (0.0%)]

### 2. 4
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 1.0% (0.0%)] | [No: 99.0% (0.0%)]

### 3. 3
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 2.0% (0.0%)] | [No: 98.0% (0.0%)]

### 4. 2
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 5.0% (0.0%)] | [No: 95.0% (0.0%)]

### 5. 1
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 22.5% (0.0%)] | [No: 77.5% (0.0%)]

### 6. 0
- **Kalshi** (End: Aug 30, 2026): Vol $0
  DATA: [Yes: 72.0% (0.0%)] | [No: 28.0% (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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17¢

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<iframe src="https://predictpedia.com/embed/BDys0n" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="How many House Representatives will be expelled before June?"></iframe>

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How many House Representatives will be expelled before June?

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How many House Representatives will be expelled before June?

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