Pennsylvania State House winner? | PredictPedia

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GroupKALSHI

Event GroupKALSHIElections

Pennsylvania State House winner?

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$0.00

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Pennsylvania State House winner?

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Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

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2 markets tracked

Who will win the Pennsylvania State House election? (Democratic party)

No data available

Single-Platform Markets(2)

Market	Platform	Price
Who will win the Pennsylvania State House election? (Democratic party)	Kalshi	89%
Who will win the Pennsylvania State House election? (Republican party)	Kalshi	13%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

89%

Top Probability

$0.00

Volume

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About This Event

In 2026 If X party wins the Pennsylvania State House election in 2026, then the market resolves to Yes. This market will resolve based on total chamber control of the Pennsylvania State House, incorporating all 203 seats, as measured by the party which wins more seats. This market is eligible for accelerated determination after a consensus of media organizations project the winner. See full rules for details. This market will close and expire early if the event occurs.

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:** Sunday, April 19, 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:** Pennsylvania State House winner?
**Category:** Elections | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** In 2026

If X party wins the Pennsylvania State House election in 2026, then the market resolves to Yes. This market will resolve based on total chamber control of the Pennsylvania State House, incorporating all 203 seats, as measured by the party which wins more seats. This market is eligible for accelerated determination after a consensus of media organizations project the winner. See full rules for details. This market will close and expire early if the event occurs.

**Resolution Criteria (Sample):**
"If the Republican party wins the Pennsylvania State House election in 2026, then the market resolves to Yes. Secondary rules: This market will resolve based on total chamber control of the Pennsylvania State House, incorporating all 203 seats, as measured by the party which wins more seats. This mar"

## 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. Who will win the Pennsylvania State House election? (Republican party)
- **Kalshi** (End: Nov 3, 2027): Vol $0
  DATA: [Yes: 13.0% (0.0%)] | [No: 87.0% (0.0%)]

### 2. Who will win the Pennsylvania State House election? (Democratic party)
- **Kalshi** (End: Nov 3, 2027): Vol $0
  DATA: [Yes: 89.3% (0.0%)] | [No: 10.7% (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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Market Insights

Average Yes Price

51¢

Kalshi

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<iframe src="https://predictpedia.com/embed/Qb3H_c" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Pennsylvania State House winner?"></iframe>

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Pennsylvania State House winner?

Pennsylvania State House winner?

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Who will win the Pennsylvania State House election? (Democratic party)

AI Analysis

About This Event

Platform StatsQuick Platform Comparison

Price ChartMatched Markets Price Graph

Who will win the Pennsylvania State House election? (Democratic party)

Custom AI Analysis Prompt

Educational Context

Events (1)