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GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

Steve Bannon exonerated by...?

Name: Steve Bannon exonerated by...?
End: 2026-06-30T00:00:00.000Z

Total Volume

$25.66K

Events

Markets

Trade on Polymarket

Steve Bannon exonerated by...?

Vol

$25.66K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $25.66K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $25.66K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Steve Bannon exonerated by June 30?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Steve Bannon exonerated by June 30?	Poly	70%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

70%

Top Probability

$25.66K

Volume

Markets

Platforms

About This Event

On April 6, 2026, the United States Supreme Court threw out an appellate ruling that had upheld Steve Bannon’s 2022 conviction on Contempt of Congress charges (see: https://apnews.com/article/supreme-court-capitol-riot-bannon-trump-4a4cf324096fc1bfed204d42b54d191e). This market will resolve to “Yes” if Bannon’s 2022 Contempt of Congress conviction is dismissed, overturned, vacated, or otherwise reversed by the listed date, 11:59 PM ET. Otherwise, this market will resolve to “No”. A qualifying

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:** Friday, July 10, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Steve Bannon exonerated by...?
**Category:** Politics | **Status:** active
**Resolution Date:** Jun 30, 2026 (Ended)
**Time Pressure:** Expired

**Description:** On April 6, 2026, the United States Supreme Court threw out an appellate ruling that had upheld Steve Bannon’s 2022 conviction on Contempt of Congress charges (see: https://apnews.com/article/supreme-court-capitol-riot-bannon-trump-4a4cf324096fc1bfed204d42b54d191e).

This market will resolve to “Yes” if Bannon’s 2022 Contempt of Congress conviction is dismissed, overturned, vacated, or otherwise reversed by the listed date, 11:59 PM ET. Otherwise, this market will resolve to “No”.

A qualifying 

**Resolution Criteria (Sample):**
"On April 6, 2026, the United States Supreme Court threw out an appellate ruling that had upheld Steve Bannon’s 2022 conviction on Contempt of Congress charges (see: https://apnews.com/article/supreme-court-capitol-riot-bannon-trump-4a4cf324096fc1bfed204d42b54d191e).

This market will resolve to “Yes"

## 2. Market liquidity & Volume
* **Total Volume:** $5.0K
* **Total Liquidity:** $1.7K
* **Activity Level:** Stable (Vol/Liq Ratio: 3.00)

## 3. Market Data (Prices & Odds)
### 1. Steve Bannon exonerated by June 30?
- **Polymarket** (End: Jun 30, 2026): Vol $5.0K
  DATA: [Yes: 70.0% (0.0%)] | [No: 30.0% (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.

POLYMARKETPolitics