GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

CA-29 House Election Winner (Individual)

Name: CA-29 House Election Winner (Individual)
End: 2026-11-03T23:59:00.000Z

Total Volume

$1.19K

Events

Markets

Trade on Polymarket

CA-29 House Election Winner (Individual)

Vol

$1.19K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.19K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.19K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will Luz Rivas win the CA-29 House seat?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will Luz Rivas win the CA-29 House seat?	Poly	89%
Will Angélica María Dueñas win the CA-29 House seat?	Poly	5%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

89%

Top Probability

$1.19K

Volume

Markets

Platforms

About This Event

This market will resolve according to the individual who wins the CA-29 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The midterm elections will take place on November 3, 2026. This market will resolve based on the result of the election as indicated by a consensus of credible reporting. If there is ambiguity, this market will resolve based solely on the official results as reported by the United States government, specifically the Federal Elect

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, September 5, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** CA-29 House Election Winner (Individual)
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 3, 2026 (60 days left)
**Time Pressure:** Low

**Description:** This market will resolve according to the individual who wins the CA-29 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The midterm elections will take place on November 3, 2026.

This market will resolve based on the result of the election as indicated by a consensus of credible reporting. If there is ambiguity, this market will resolve based solely on the official results as reported by the United States government, specifically the Federal Elect

**Resolution Criteria (Sample):**
"This market will resolve according to the individual who wins the CA-29 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The midterm elections will take place on November 3, 2026.

This market will resolve based on the result of the election as indicate"

## 2. Market liquidity & Volume
* **Total Volume:** $1.2K
* **Total Liquidity:** $10.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.11)

## 3. Market Data (Prices & Odds)
### 1. Will Angélica María Dueñas win the CA-29 House seat?
- **Polymarket** (End: Nov 3, 2026): Vol $262
  DATA: [Yes: 5.0% (0.0%)] | [No: 95.0% (0.0%)]

### 2. Will Luz Rivas win the CA-29 House seat?
- **Polymarket** (End: Nov 3, 2026): Vol $923
  DATA: [Yes: 89.0% (0.0%)] | [No: 11.0% (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.

POLYMARKETPolitics