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

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Cornell President out by October 31?

Name: Cornell President out by October 31?
End: 2026-11-01T03:59:00.000Z

Total Volume

$9.32K

Events

Markets

Trade on Polymarket

Cornell President out by October 31?

Vol

$9.32K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $9.32K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $9.32K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Cornell President out by October 31?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Cornell President out by October 31?	Poly	3%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$9.32K

Volume

Markets

Platforms

About This Event

This market resolves to “Yes” if Michael Kotlikoff’s departure as President of Cornell University is officially announced by October 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”. The departure will be considered to be announced when Michael Kotlikoff, Cornell University, or their authorized representatives publicly and definitively announce that Michael Kotlikoff has ceased or will cease to hold the position of President of Cornell University. Such an announcement will qua

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%).

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## 1. Event Snapshot
**Event:** Cornell President out by October 31?
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 1, 2026 (21 days left)
**Time Pressure:** Medium

**Description:** This market resolves to “Yes” if Michael Kotlikoff’s departure as President of Cornell University is officially announced by October 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”.

The departure will be considered to be announced when Michael Kotlikoff, Cornell University, or their authorized representatives publicly and definitively announce that Michael Kotlikoff has ceased or will cease to hold the position of President of Cornell University. Such an announcement will qua

**Resolution Criteria (Sample):**
"This market resolves to “Yes” if Michael Kotlikoff’s departure as President of Cornell University is officially announced by October 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”.

The departure will be considered to be announced when Michael Kotlikoff, Cornell University, or th"

## 2. Market liquidity & Volume
* **Total Volume:** $9.3K
* **Total Liquidity:** $11.9K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.78)

## 3. Market Data (Prices & Odds)
### 1. Cornell President out by October 31?
- **Polymarket** (End: Nov 1, 2026): Vol $9.3K
  DATA: [Yes: 3.1% (0.0%)] | [No: 96.9% (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