GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Will Smith College exclude trans women in 2026?

Name: Will Smith College exclude trans women in 2026?
End: 2026-06-26T21:23:15.520Z

Total Volume

$9.12K

Events

Markets

Trade on Polymarket

Will Smith College exclude trans women in 2026?

Vol

$9.12K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $9.12K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $9.12K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Will Smith College exclude trans women in 2026?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Smith College exclude trans women in 2026?	Poly	13%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

13%

Top Probability

$9.12K

Volume

Markets

Platforms

About This Event

Smith College is an all-women's college in Massachusetts that is currently undergoing a federal civil rights investigation for its policies relating to transgender women. This market will resolve to "Yes" if Smith College changes its policies to exclude the future admission of or to unenroll current students who were born male and identify as transgender women from its Northampton campus by December 31, 2026 at 11:59PM ET. Otherwise this market will resolve to "No." The existence of or potent

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:** Saturday, September 5, 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:** Will Smith College exclude trans women in 2026?
**Category:** Politics | **Status:** active
**Resolution Date:** Jun 26, 2026 (Ended)
**Time Pressure:** Expired

**Description:** Smith College is an all-women's college in Massachusetts that is currently undergoing a federal civil rights investigation for its policies relating to transgender women. 

This market will resolve to "Yes" if Smith College changes its policies to exclude the future admission of or to unenroll current students who were born male and identify as transgender women from its Northampton campus by December 31, 2026 at 11:59PM ET. Otherwise this market will resolve to "No."

The existence of or potent

**Resolution Criteria (Sample):**
"Smith College is an all-women's college in Massachusetts that is currently undergoing a federal civil rights investigation for its policies relating to transgender women. 

This market will resolve to "Yes" if Smith College changes its policies to exclude the future admission of or to unenroll curre"

## 2. Market liquidity & Volume
* **Total Volume:** $9.1K
* **Total Liquidity:** $8.8K
* **Activity Level:** Stable (Vol/Liq Ratio: 1.04)

## 3. Market Data (Prices & Odds)
### 1. Will Smith College exclude trans women in 2026?
- **Polymarket** (End: Sep 5, 2026): Vol $9.1K
  DATA: [Yes: 12.5% (0.0%)] | [No: 87.5% (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