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Event GroupKALSHIEconomics

More tech layoffs in 2026 than in 2025?

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$0.00

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Trade on Kalshi

More tech layoffs in 2026 than in 2025?

Vol

$0.00

Events

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Kalshi

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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

More tech layoffs in 2026 than in 2025?

No data available

Single-Platform Markets(1)

Market	Platform	Price
More tech layoffs in 2026 than in 2025?	Kalshi	89%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

89%

Top Probability

$0.00

Volume

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About This Event

In 2026 If there are more than 447,000 layoffs in the information sector in 2026, then the market resolves to Yes. Important information: This market was listed using an incorrect underlying value for tech layoffs in 2025. The correct floor strike is 447,000 layoffs, not 494,000 as currently specified. If the final layoff count falls between those two numbers, we will pay out $1.00 to all traders with an open position as of March 13, 2026 at 5:00 PM ET. The rulebook variable has been updated ac

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:** More tech layoffs in 2026 than in 2025?
**Category:** Economics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** In 2026

If there are more than 447,000 layoffs in the information sector in 2026, then the market resolves to Yes. Important information: This market was listed using an incorrect underlying value for tech layoffs in 2025. The correct floor strike is 447,000 layoffs, not 494,000 as currently specified. If the final layoff count falls between those two numbers, we will pay out $1.00 to all traders with an open position as of March 13, 2026 at 5:00 PM ET. The rulebook variable has been updated ac

**Resolution Criteria (Sample):**
"If there are more than 447,000 layoffs in the information sector in 2026, then the market resolves to Yes. Secondary rules: Important information: This market was listed using an incorrect underlying value for tech layoffs in 2025. The correct floor strike is 447,000 layoffs, not 494,000 as currentl"

## 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. More tech layoffs in 2026 than in 2025?
- **Kalshi** (End: Mar 31, 2027): Vol $0
  DATA: [Yes: 89.3% (0.0%)] | [No: 10.7% (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