Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHIEconomics

Will Louisiana oil & gas extraction jobs rise YoY?

Total Volume

$1.79K

Events

Markets

Trade on Kalshi

Will Louisiana oil & gas extraction jobs rise YoY?

Vol

$1.79K

Events

Markets

Kalshi

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Polymarket

markets · $0.00

Kalshi

markets · $1.79K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.79K

100%

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Price ChartMatched Markets Price Graph

1 market tracked

Will Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 be above 5,100 jobs?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 be above 5,100 jobs?	Kalshi	12%

AI Analysis

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12%

Top Probability

$1.79K

Volume

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About This Event

2026 If Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 is above 5,100 jobs, then the market resolves to Yes. The Underlying is BLS series SMU22000001021100001, All Employees in Oil and Gas Extraction in Louisiana, measured in thousands and not seasonally adjusted. The 5.1 thousand-job threshold is fixed and will not change if BLS later revises its 2025 value. This market will close and expire early if the economic data is released.

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:** Will Louisiana oil & gas extraction jobs rise YoY?
**Category:** Economics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** 2026

If Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 is above 5,100 jobs, then the market resolves to Yes. The Underlying is BLS series SMU22000001021100001, All Employees in Oil and Gas Extraction in Louisiana, measured in thousands and not seasonally adjusted. The 5.1 thousand-job threshold is fixed and will not change if BLS later revises its 2025 value. This market will close and expire early if the economic data is released.

**Resolution Criteria (Sample):**
"If Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 is above 5,100 jobs, then the market resolves to Yes. Secondary rules: The Underlying is BLS series SMU22000001021100001, All Employees in Oil and Gas Extraction in Louisiana, measured in thousands and not seasonally adjuste"

## 2. Market liquidity & Volume
* **Total Volume:** $1.8K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Louisiana’s annual-average employment in Oil and Gas Extraction for 2026 be above 5,100 jobs?
- **Kalshi** (End: May 7, 2027): Vol $1.8K
  DATA: [Yes: 11.5% (0.0%)] | [No: 88.5% (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.

KALSHIEconomics