Market snapshot: Oct 12, 2026, 6:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Tompkins County District Attorney out by November 30?

Name: Tompkins County District Attorney out by November 30?
End: 2026-12-01T04:59:00.000Z

Total Volume

$1.04K

Events

Markets

Trade on Polymarket

Tompkins County District Attorney out by November 30?

Vol

$1.04K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.04K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.04K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Tompkins County District Attorney out by November 30?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Tompkins County District Attorney out by November 30?	Poly	26%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

26%

Top Probability

$1.04K

Volume

Markets

Platforms

About This Event

This market will resolve to “Yes” if Matthew Van Houten’s departure as District Attorney of Tompkins County, New York is officially announced between market creation and November 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”. The departure will be considered to be announced when Matthew Van Houten, the Tompkins County District Attorney’s Office, the Office of the Governor of New York, or their authorized representatives publicly and definitively announce that Matthew Van Ho

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:** Tompkins County District Attorney out by November 30?
**Category:** Politics | **Status:** active
**Resolution Date:** Dec 1, 2026 (50 days left)
**Time Pressure:** Low

**Description:** This market will resolve to “Yes” if Matthew Van Houten’s departure as District Attorney of Tompkins County, New York is officially announced between market creation and November 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”.

The departure will be considered to be announced when Matthew Van Houten, the Tompkins County District Attorney’s Office, the Office of the Governor of New York, or their authorized representatives publicly and definitively announce that Matthew Van Ho

**Resolution Criteria (Sample):**
"This market will resolve to “Yes” if Matthew Van Houten’s departure as District Attorney of Tompkins County, New York is officially announced between market creation and November 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to “No”.

The departure will be considered to be announced whe"

## 2. Market liquidity & Volume
* **Total Volume:** $1.0K
* **Total Liquidity:** $11.0K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.09)

## 3. Market Data (Prices & Odds)
### 1. Tompkins County District Attorney out by November 30?
- **Polymarket** (End: Dec 1, 2026): Vol $1.0K
  DATA: [Yes: 25.5% (0.0%)] | [No: 74.5% (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