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

GroupKALSHI

Event GroupKALSHIEconomics

Will New Jersey pharmaceutical manufacturing jobs rise YoY?

Total Volume

$12.84K

Events

Markets

Trade on Kalshi

Will New Jersey pharmaceutical manufacturing jobs rise YoY?

Vol

$12.84K

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $12.84K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $12.84K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Will New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 be above 30,300 jobs?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 be above 30,300 jobs?	Kalshi	9%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$12.84K

Volume

Markets

Platforms

About This Event

2026 If BLS reports that New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 is above 30,300 jobs, then the market resolves to Yes. The Underlying is BLS series SMU34000003232540001, All Employees in Pharmaceutical and Medicine Manufacturing in New Jersey, measured in thousands and not seasonally adjusted. The 30.3 thousand threshold is fixed and will not change if BLS later revises its 2025 value. This market will close and expire early if the economic

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

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%).

---

## 1. Event Snapshot
**Event:** Will New Jersey pharmaceutical manufacturing jobs rise YoY?
**Category:** Economics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** 2026

If BLS reports that New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 is above 30,300 jobs, then the market resolves to Yes. The Underlying is BLS series SMU34000003232540001, All Employees in Pharmaceutical and Medicine Manufacturing in New Jersey, measured in thousands and not seasonally adjusted. The 30.3 thousand threshold is fixed and will not change if BLS later revises its 2025 value. This market will close and expire early if the economic 

**Resolution Criteria (Sample):**
"If BLS reports that New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 is above 30,300 jobs, then the market resolves to Yes. Secondary rules: The Underlying is BLS series SMU34000003232540001, All Employees in Pharmaceutical and Medicine Manufacturing in Ne"

## 2. Market liquidity & Volume
* **Total Volume:** $12.8K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will New Jersey’s annual-average employment in Pharmaceutical and Medicine Manufacturing for 2026 be above 30,300 jobs?
- **Kalshi** (End: May 7, 2027): Vol $12.8K
  DATA: [Yes: 8.5% (0.0%)] | [No: 91.5% (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".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

KALSHIEconomics