Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Wisconsin Secretary of State Election Winner

Name: Wisconsin Secretary of State Election Winner
End: 2026-11-03T23:59:00.000Z

Total Volume

$983.58

Events

Markets

Trade on Polymarket

Wisconsin Secretary of State Election Winner

Vol

$983.58

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $983.58

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $983.58

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will the Democratic Party candidate win the 2026 Wisconsin Secretary of State election?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will the Democratic Party candidate win the 2026 Wisconsin Secretary of State election?	Poly	84%
Will the Republican Party candidate win the 2026 Wisconsin Secretary of State election?	Poly	14%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

84%

Top Probability

$983.58

Volume

Markets

Platforms

About This Event

This market will resolve according to the party of the candidate who wins the 2026 Wisconsin Secretary of State election currently scheduled for November 3, 2026. The nominees of the Democratic and Republican parties may be named in the contract for the convenience of traders. In the event that any named candidate is replaced as the nominee of their respective party prior to election day, the name in the contract will be updated and the market will resolve based on the replacement nominee of th

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:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Wisconsin Secretary of State Election Winner
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 3, 2026 (24 days left)
**Time Pressure:** Medium

**Description:** This market will resolve according to the party of the candidate who wins the 2026 Wisconsin Secretary of State election currently scheduled for November 3, 2026.

The nominees of the Democratic and Republican parties may be named in the contract for the convenience of traders. In the event that any named candidate is replaced as the nominee of their respective party prior to election day, the name in the contract will be updated and the market will resolve based on the replacement nominee of th

**Resolution Criteria (Sample):**
"This market will resolve according to the party of the candidate who wins the 2026 Wisconsin Secretary of State election currently scheduled for November 3, 2026.

The nominees of the Democratic and Republican parties may be named in the contract for the convenience of traders. In the event that any"

## 2. Market liquidity & Volume
* **Total Volume:** $984
* **Total Liquidity:** $34.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.03)

## 3. Market Data (Prices & Odds)
### 1. Will the Democratic Party candidate win the 2026 Wisconsin Secretary of State election?
- **Polymarket** (End: Nov 3, 2026): Vol $676
  DATA: [Yes: 83.5% (0.0%)] | [No: 16.5% (0.0%)]

### 2. Will the Republican Party candidate win the 2026 Wisconsin Secretary of State election?
- **Polymarket** (End: Nov 3, 2026): Vol $308
  DATA: [Yes: 14.5% (0.0%)] | [No: 85.5% (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".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETPolitics