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MI-07 House winner?

Total Volume

$0.00

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MI-07 House winner?

Vol

$0.00

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

2 markets tracked

Will Democratic win the House race for MI-7?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will Democratic win the House race for MI-7?	Kalshi	82%
Will Republican win the House race for MI-7?	Kalshi	19%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

82%

Top Probability

$0.00

Volume

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About This Event

In 2026 If the House member sworn in for MI-7 for the term beginning in 2027 is a member X then the market resolves to Yes. Early close condition: This market will close following the swearing in of the Representative for the seat in question. This market will close following the swearing in of the Representative for the seat in question.

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:** Friday, July 10, 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:** MI-07 House winner?
**Category:** Elections | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** In 2026

If the House member sworn in for MI-7 for the term beginning in 2027 is a member X then the market resolves to Yes. Early close condition: This market will close following the swearing in of the Representative for the seat in question. This market will close following the swearing in of the Representative for the seat in question.

**Resolution Criteria (Sample):**
"If the House member sworn in for MI-7 for the term beginning in 2027 is a member of Republican, then the market resolves to Yes. Early close condition: This market will close following the swearing in of the Representative for the seat in question."

## 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. Will Republican win the House race for MI-7?
- **Kalshi** (End: Nov 3, 2027): Vol $0
  DATA: [Yes: 18.5% (0.0%)] | [No: 81.5% (0.0%)]

### 2. Will Democratic win the House race for MI-7?
- **Kalshi** (End: Nov 3, 2027): Vol $0
  DATA: [Yes: 82.0% (0.0%)] | [No: 18.0% (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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