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

GroupPOLYMARKET

Event GroupPOLYMARKETTech

Muse on Meta glasses by...?

Name: Muse on Meta glasses by...?
End: 2027-01-01T04:59:00.000Z

Total Volume

$4.81K

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Markets

Trade on Polymarket

Muse on Meta glasses by...?

Vol

$4.81K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $4.81K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $4.81K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will Muse be available on Meta glasses by December 31, 2026?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will Muse be available on Meta glasses by December 31, 2026?	Poly	38%
Will Muse be available on Meta glasses by October 31, 2026?	Poly	18%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

38%

Top Probability

$4.81K

Volume

Markets

Platforms

About This Event

At Meta Connect on September 23, 2026, Meta announced that Muse, its personal AI agent, would come to its AI glasses in the coming months (see: https://about.fb.com/news/2026/09/the-biggest-news-from-connect-2026/). This market will resolve to "Yes" if Meta makes Muse available on any of its AI glasses by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No". Muse will be considered available on Meta's AI glasses if Meta releases a feature allowing users to give instru

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:** Muse on Meta glasses by...?
**Category:** Tech | **Status:** active
**Resolution Date:** Jan 1, 2027 (81 days left)
**Time Pressure:** Low

**Description:** At Meta Connect on September 23, 2026, Meta announced that Muse, its personal AI agent, would come to its AI glasses in the coming months (see: https://about.fb.com/news/2026/09/the-biggest-news-from-connect-2026/).

This market will resolve to "Yes" if Meta makes Muse available on any of its AI glasses by 11:59 PM ET on the specified date. Otherwise, this market will resolve to "No".

Muse will be considered available on Meta's AI glasses if Meta releases a feature allowing users to give instru

**Resolution Criteria (Sample):**
"At Meta Connect on September 23, 2026, Meta announced that Muse, its personal AI agent, would come to its AI glasses in the coming months (see: https://about.fb.com/news/2026/09/the-biggest-news-from-connect-2026/).

This market will resolve to "Yes" if Meta makes Muse available on any of its AI gla"

## 2. Market liquidity & Volume
* **Total Volume:** $4.8K
* **Total Liquidity:** $424
* **Activity Level:** High Turnover (Vol/Liq Ratio: 11.35)

## 3. Market Data (Prices & Odds)
### 1. Will Muse be available on Meta glasses by October 31, 2026?
- **Polymarket** (End: Nov 1, 2026): Vol $2.3K
  DATA: [Yes: 18.0% (0.0%)] | [No: 82.0% (0.0%)]

### 2. Will Muse be available on Meta glasses by December 31, 2026?
- **Polymarket** (End: Jan 1, 2027): Vol $2.5K
  DATA: [Yes: 37.5% (0.0%)] | [No: 62.5% (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.

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