Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Lauren Boebert admits to sex with staffer before midterms?

Name: Lauren Boebert admits to sex with staffer before midterms?
End: 2026-11-02T23:59:00.000Z

Total Volume

$1.81K

Events

Markets

Trade on Polymarket

Lauren Boebert admits to sex with staffer before midterms?

Vol

$1.81K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.81K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.81K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Lauren Boebert admits to sex with staffer before midterms?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Lauren Boebert admits to sex with staffer before midterms?	Poly	6%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$1.81K

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if Lauren Boebert publicly acknowledges that she engaged in sexual activity with at least one person who was, at the time of the activity, an individual employed in Representative Boebert's congressional office, or otherwise employed by the House or Senate under her supervision, between market creation and November 2, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". Private testimony that was taken after market creation and made public by the dat

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Lauren Boebert admits to sex with staffer before midterms?
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 2, 2026 (22 days left)
**Time Pressure:** Medium

**Description:** This market will resolve to "Yes" if Lauren Boebert publicly acknowledges that she engaged in sexual activity with at least one person who was, at the time of the activity, an individual employed in Representative Boebert's congressional office, or otherwise employed by the House or Senate under her supervision, between market creation and November 2, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No".

Private testimony that was taken after market creation and made public by the dat

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if Lauren Boebert publicly acknowledges that she engaged in sexual activity with at least one person who was, at the time of the activity, an individual employed in Representative Boebert's congressional office, or otherwise employed by the House or Senate under her"

## 2. Market liquidity & Volume
* **Total Volume:** $1.8K
* **Total Liquidity:** $32.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.06)

## 3. Market Data (Prices & Odds)
### 1. Lauren Boebert admits to sex with staffer before midterms?
- **Polymarket** (End: Nov 2, 2026): Vol $1.8K
  DATA: [Yes: 5.5% (0.0%)] | [No: 94.5% (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".

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

POLYMARKETPolitics