Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHIEconomics

Egg prices up in October?

Total Volume

$154.00

Events

Markets

Trade on Kalshi

Egg prices up in October?

Vol

$154.00

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $154.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $154.00

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Will egg prices rise by more than 0% in Oct 2026?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will egg prices rise by more than 0% in Oct 2026?	Kalshi	51%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$154.00

Volume

Markets

Platforms

About This Event

In Oct 2026 If the price of eggs rises by Above 0% in Oct 2026, then the market resolves to Yes. The following market is based on a month-over-month change in price, meaning the price is compared to the previous month. It is not a year-over-year comparison. The Underlying is the average price of eggs, grade A, large, per dozen, U.S. city average, not seasonally adjusted, in U.S. dollars, according to BLS Consumer Price Index Average Price Data series APU0000708111.

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:** Monday, October 12, 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:** Egg prices up in October?
**Category:** Economics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** In Oct 2026

If the price of eggs rises by Above 0% in Oct 2026, then the market resolves to Yes. The following market is based on a month-over-month change in price, meaning the price is compared to the previous month. It is not a year-over-year comparison.

The Underlying is the average price of eggs, grade A, large, per dozen, U.S. city average, not seasonally adjusted, in U.S. dollars, according to BLS Consumer Price Index Average Price Data series APU0000708111.

**Resolution Criteria (Sample):**
"If the price of eggs rises by Above 0% in Oct 2026, then the market resolves to Yes. Secondary rules: The following market is based on a month-over-month change in price, meaning the price is compared to the previous month. It is not a year-over-year comparison.

The Underlying is the average price "

## 2. Market liquidity & Volume
* **Total Volume:** $154
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will egg prices rise by more than 0% in Oct 2026?
- **Kalshi** (End: Jan 11, 2027): Vol $154
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (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.

KALSHIEconomics