Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

CNN flies with Trump by..?

Name: CNN flies with Trump by..?
End: 2026-11-01T03:59:00.000Z

Total Volume

$17.62K

Events

Markets

Trade on Polymarket

CNN flies with Trump by..?

Vol

$17.62K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $17.62K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $17.62K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will CNN fly with Trump by October 31?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will CNN fly with Trump by October 31?	Poly	13%
Will CNN fly with Trump by October 15?	Poly	2%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

13%

Top Probability

$17.62K

Volume

Markets

Platforms

About This Event

This market will resolve to "Yes" if a journalist representing CNN is aboard an airplane carrying Donald Trump at the time of takeoff between market creation and the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No". The journalist must be representing CNN at the time of the flight. Journalists representing other agencies at the time of the flight will not qualify, regardless of any previous work done for CNN. The primary resolution source for this market will be a conse

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:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** CNN flies with Trump by..?
**Category:** Politics | **Status:** active
**Resolution Date:** Nov 1, 2026 (21 days left)
**Time Pressure:** Medium

**Description:** This market will resolve to "Yes" if a journalist representing CNN is aboard an airplane carrying Donald Trump at the time of takeoff between market creation and the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No".

The journalist must be representing CNN at the time of the flight. Journalists representing other agencies at the time of the flight will not qualify, regardless of any previous work done for CNN.

The primary resolution source for this market will be a conse

**Resolution Criteria (Sample):**
"This market will resolve to "Yes" if a journalist representing CNN is aboard an airplane carrying Donald Trump at the time of takeoff between market creation and the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No".

The journalist must be representing CNN at the time of the "

## 2. Market liquidity & Volume
* **Total Volume:** $17.6K
* **Total Liquidity:** $27.8K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.63)

## 3. Market Data (Prices & Odds)
### 1. Will CNN fly with Trump by October 15?
- **Polymarket** (End: Oct 16, 2026): Vol $6.9K
  DATA: [Yes: 2.1% (0.0%)] | [No: 97.9% (0.0%)]

### 2. Will CNN fly with Trump by October 31?
- **Polymarket** (End: Nov 1, 2026): Vol $10.7K
  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