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Will it rain in NYC on Jul 9, 2026?

Total Volume

$0.00

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Trade on Kalshi

Will it rain in NYC on Jul 9, 2026?

Vol

$0.00

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

Will it rain in New York City on Thursday?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will it rain in New York City on Thursday?	Kalshi	100%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

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Top Probability

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About This Event

On Jul 9, 2026 If the number of inches of precipitation recorded at Central Park, New York on July 09, 2026 is strictly greater than 0, then the market resolves to Yes. The Payout Criterion only encompasses Expiration Values that are strictly greater than inches. If the Expiration Value is T (when the target is 0) for Trace or R for Record (where the record set is strictly greater than ), then the market resolves to Yes. This market will close and expire the sooner of the first 10:00 AM ET fo

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, July 10, 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 it rain in NYC on Jul 9, 2026?
**Category:** Climate and Weather | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** On Jul 9, 2026

If the number of inches of precipitation recorded at Central Park, New York on July 09, 2026 is strictly greater than 0, then the market resolves to Yes. The Payout Criterion only encompasses Expiration Values that are strictly greater than  inches. If the Expiration Value is T (when the target is 0) for Trace or R for Record (where the record set is strictly greater than ), then the market resolves to Yes.

This market will close and expire the sooner of the first 10:00 AM ET fo

**Resolution Criteria (Sample):**
"If the number of inches of precipitation recorded at Central Park, New York on July 09, 2026 is strictly greater than 0, then the market resolves to Yes. Secondary rules: The Payout Criterion only encompasses Expiration Values that are strictly greater than  inches. If the Expiration Value is T (whe"

## 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 it **rain** in New York City on Thursday?
- **Kalshi** (End: Jul 16, 2026): Vol $0
  DATA: [Yes: 99.5% (0.0%)] | [No: 0.5% (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.

KALSHIClimate and Weather