Name: Highest temperature in Paris on April 17?
End: 2026-04-17T12:00:00.000Z

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Highest temperature in Paris on April 17? | PredictPedia

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Polymarket

markets · $93.03K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $93.03K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

11 markets tracked

Will the highest temperature in Paris be 21°C on April 17?

No data available

Single-Platform Markets(11)

Market	Platform	Price
Will the highest temperature in Paris be 21°C on April 17?	Poly	45%
Will the highest temperature in Paris be 20°C on April 17?	Poly	28%
Will the highest temperature in Paris be 22°C on April 17?	Poly	12%
Will the highest temperature in Paris be 19°C on April 17?	Poly	5%
Will the highest temperature in Paris be 23°C on April 17?	Poly	3%
Will the highest temperature in Paris be 24°C on April 17?	Poly	1%
Will the highest temperature in Paris be 18°C on April 17?	Poly	1%
Will the highest temperature in Paris be 25°C on April 17?	Poly	0%
Will the highest temperature in Paris be 26°C or higher on April 17?	Poly	0%
Will the highest temperature in Paris be 16°C or below on April 17?	Poly	0%
Will the highest temperature in Paris be 17°C on April 17?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

45%

Top Probability

$93.03K

Volume

Markets

Platforms

About This Event

This market will resolve to the temperature range that contains the highest temperature recorded at the Charles de Gaulle Airport Station in degrees Celsius on 17 Apr '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Charles de Gaulle Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/fr/paris/LFPG. To toggle betw

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:** Friday, April 17, 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:** Highest temperature in Paris on April 17?
**Category:** Climate | **Status:** active
**Resolution Date:** Apr 17, 2026 (1 days left)
**Time Pressure:** Critical

**Description:** This market will resolve to the temperature range that contains the highest temperature recorded at the Charles de Gaulle Airport Station in degrees Celsius on 17 Apr '26.

The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Charles de Gaulle Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/fr/paris/LFPG.

To toggle betw

**Resolution Criteria (Sample):**
"This market will resolve to the temperature range that contains the highest temperature recorded at the Charles de Gaulle Airport Station in degrees Celsius on 17 Apr '26.

The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for "

## 2. Market liquidity & Volume
* **Total Volume:** $93.0K
* **Total Liquidity:** $18.2K
* **Activity Level:** Moderate (Vol/Liq Ratio: 5.13)

## 3. Market Data (Prices & Odds)
### 1. Will the highest temperature in Paris be 16°C or below on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $7.0K
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 2. Will the highest temperature in Paris be 17°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $6.2K
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 3. Will the highest temperature in Paris be 18°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $9.1K
  DATA: [Yes: 0.5% (0.0%)] | [No: 99.5% (0.0%)]

### 4. Will the highest temperature in Paris be 19°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $9.8K
  DATA: [Yes: 5.0% (0.0%)] | [No: 95.0% (0.0%)]

### 5. Will the highest temperature in Paris be 20°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $9.1K
  DATA: [Yes: 28.5% (0.0%)] | [No: 71.5% (0.0%)]

### 6. Will the highest temperature in Paris be 21°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $5.8K
  DATA: [Yes: 45.0% (0.0%)] | [No: 55.0% (0.0%)]

### 7. Will the highest temperature in Paris be 22°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $8.2K
  DATA: [Yes: 11.5% (0.0%)] | [No: 88.5% (0.0%)]

### 8. Will the highest temperature in Paris be 23°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $9.7K
  DATA: [Yes: 2.9% (0.0%)] | [No: 97.1% (0.0%)]

### 9. Will the highest temperature in Paris be 24°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $8.7K
  DATA: [Yes: 0.6% (0.0%)] | [No: 99.4% (0.0%)]

### 10. Will the highest temperature in Paris be 25°C on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $8.5K
  DATA: [Yes: 0.4% (0.0%)] | [No: 99.6% (0.0%)]

### 11. Will the highest temperature in Paris be 26°C or higher on April 17?
- **Polymarket** (End: Apr 17, 2026): Vol $11.1K
  DATA: [Yes: 0.4% (0.0%)] | [No: 99.6% (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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