GroupKALSHI

Event GroupKALSHISports

Carlos Alcaraz to play in the US Open

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$0.00

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Trade on Kalshi

Carlos Alcaraz to play in the US Open

Vol

$0.00

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Kalshi

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Polymarket

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Kalshi

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Price Spread

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Price ChartMatched Markets Price Graph

1 market tracked

Will Carlos Alcaraz compete in the 2026 US Open men's singles tennis tournament?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Carlos Alcaraz compete in the 2026 US Open men's singles tennis tournament?	Kalshi	87%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

87%

Top Probability

$0.00

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About This Event

Carlos Alcaraz - US Open (2026) If Carlos Alcaraz competes in the 2026 US Open men's singles tennis tournament, then the market resolves to Yes. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of their respective owners. This market will close and expire after the event occurs.

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:** Tuesday, July 21, 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:** Carlos Alcaraz to play in the US Open
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Carlos Alcaraz - US Open (2026)

If Carlos Alcaraz competes in the 2026 US Open men's singles tennis tournament, then the market resolves to Yes. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of their respective owners. This market will close and expire after the event occurs.

**Resolution Criteria (Sample):**
"If Carlos Alcaraz competes in the 2026 US Open men's singles tennis tournament, then the market resolves to Yes. Secondary rules: Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are th"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Carlos Alcaraz compete in the 2026 US Open men's singles tennis tournament?
- **Kalshi** (End: Oct 7, 2026): Vol $0
  DATA: [Yes: 86.5% (0.0%)] | [No: 13.5% (0.0%)]

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## 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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