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

GroupKALSHI

Event GroupKALSHIPolitics

FTC antitrust case against Meta revived on appeal?

Total Volume

$620.57

Events

Markets

Trade on Kalshi

FTC antitrust case against Meta revived on appeal?

Vol

$620.57

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $620.57

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $620.57

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

FTC antitrust case against Meta revived on appeal?

No data available

Single-Platform Markets(1)

Market	Platform	Price
FTC antitrust case against Meta revived on appeal?	Kalshi	55%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

55%

Top Probability

$620.57

Volume

Markets

Platforms

About This Event

Before 2029 If the United States Court of Appeals for the District of Columbia Circuit reverses or vacates, in whole or in part, the district court's November 18, 2025 judgment for Meta, such that the FTC's monopolization claims may proceed in Federal Trade Commission v. Meta Platforms, Inc., No. 26-5028, on appeal from No. 20-cv-3590 (D.D.C.) before Jan 1, 2029, then the market resolves to Yes. This market resolves on a written ruling of the United States Court of Appeals for the District of C

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:** FTC antitrust case against Meta revived on appeal?
**Category:** Politics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Before 2029

If the United States Court of Appeals for the District of Columbia Circuit reverses or vacates, in whole or in part, the district court's November 18, 2025 judgment for Meta, such that the FTC's monopolization claims may proceed in Federal Trade Commission v. Meta Platforms, Inc., No. 26-5028, on appeal from No. 20-cv-3590 (D.D.C.) before Jan 1, 2029, then the market resolves to Yes. This market resolves on a written ruling of the United States Court of Appeals for the District of C

## 2. Market liquidity & Volume
* **Total Volume:** $621
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. FTC antitrust case against Meta revived on appeal?
- **Kalshi** (End: Jan 8, 2029): Vol $621
  DATA: [Yes: 55.5% (0.0%)] | [No: 44.5% (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.

KALSHIPolitics