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

GroupKALSHI

Event GroupKALSHIClimate and Weather

Will it rain in Ontario, California on Feb 27, 2027?

Total Volume

$0.10

Events

Markets

Trade on Kalshi

Will it rain in Ontario, California on Feb 27, 2027?

Vol

$0.10

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.10

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $0.10

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Will it rain in Ontario, California on Feb 27, 2027?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will it rain in Ontario, California on Feb 27, 2027?	Kalshi	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.10

Volume

Markets

Platforms

About This Event

On February 27, 2027 If the total precipitation at Ontario International Airport (KONT) in Ontario, California in the Feb 27, 2027 reporting day is strictly greater than 0 inches, then the market resolves to Yes. This daily market uses The Weather Company's precipitation total for Ontario International Airport (KONT), California, for the reporting day dated February 27, 2027. Data is available at https://weather.com/kalshi under Domestic, Daily Climate, Ontario (ONT). The market resolves Yes if

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%).

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## 1. Event Snapshot
**Event:** Will it rain in Ontario, California on Feb 27, 2027?
**Category:** Climate and Weather | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** On February 27, 2027

If the total precipitation at Ontario International Airport (KONT) in Ontario, California in the Feb 27, 2027 reporting day is strictly greater than 0 inches, then the market resolves to Yes. This daily market uses The Weather Company's precipitation total for Ontario International Airport (KONT), California, for the reporting day dated February 27, 2027. Data is available at https://weather.com/kalshi under Domestic, Daily Climate, Ontario (ONT). The market resolves Yes if

**Resolution Criteria (Sample):**
"If the total precipitation at Ontario International Airport (KONT) in Ontario, California in the Feb 27, 2027 reporting day is strictly greater than 0 inches, then the market resolves to Yes. Secondary rules: This daily market uses The Weather Company's precipitation total for Ontario International "

## 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 Ontario, California on Feb 27, 2027?
- **Kalshi** (End: Mar 6, 2027): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (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