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GroupPOLYMARKET

Event GroupPOLYMARKETPolitics

South Carolina Democratic Senate Primary Winner

Name: South Carolina Democratic Senate Primary Winner
End: 2026-06-09T00:00:00.000Z

Total Volume

$9.70K

Events

Markets

Trade on Polymarket

South Carolina Democratic Senate Primary Winner

Vol

$9.70K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $9.70K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $9.70K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Annie Andrews be the Democratic nominee for Senate in North Carolina?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Annie Andrews be the Democratic nominee for Senate in North Carolina?	Poly	91%
Will Catherine Fleming Bruce be the Democratic nominee for Senate in North Carolina?	Poly	4%
Will Kyle Freeman be the Democratic nominee for Senate in North Carolina?	Poly	3%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

91%

Top Probability

$9.70K

Volume

Markets

Platforms

About This Event

This market will resolve according to the winner of the Democratic Primary for United States Senator from South Carolina. If no 2026 South Carolina Democratic Senate Primary takes place, this market will resolve to "Other". The resolution source for this market will be the first announcement of the results from the South Carolina Democratic party, however an overwhelming consensus of credible reporting may suffice.

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:** Wednesday, July 15, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** South Carolina Democratic Senate Primary Winner
**Category:** Politics | **Status:** active
**Resolution Date:** Jun 9, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve according to the winner of the Democratic Primary for United States Senator from South Carolina.

If no 2026 South Carolina Democratic Senate Primary takes place, this market will resolve to "Other".

The resolution source for this market will be the first announcement of the results from the South Carolina Democratic party, however an overwhelming consensus of credible reporting may suffice.

**Resolution Criteria (Sample):**
"This market will resolve according to the winner of the Democratic Primary for United States Senator from South Carolina.

If no 2026 South Carolina Democratic Senate Primary takes place, this market will resolve to "Other".

The resolution source for this market will be the first announcement of th"

## 2. Market liquidity & Volume
* **Total Volume:** $9.7K
* **Total Liquidity:** $24.4K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.40)

## 3. Market Data (Prices & Odds)
### 1. Will Catherine Fleming Bruce be the Democratic nominee for Senate in North Carolina?
- **Polymarket** (End: Jun 9, 2026): Vol $974
  DATA: [Yes: 3.7% (0.0%)] | [No: 96.3% (0.0%)]

### 2. Will Annie Andrews be the Democratic nominee for Senate in North Carolina?
- **Polymarket** (End: Jun 9, 2026): Vol $1.4K
  DATA: [Yes: 91.0% (0.0%)] | [No: 9.0% (0.0%)]

### 3. Will Kyle Freeman be the Democratic nominee for Senate in North Carolina?
- **Polymarket** (End: Jun 9, 2026): Vol $7.3K
  DATA: [Yes: 2.6% (0.0%)] | [No: 97.4% (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