Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHIPolitics

Will Laura Loomer join the Trump administration in 2026?

Total Volume

$217.71

Events

Markets

Trade on Kalshi

Will Laura Loomer join the Trump administration in 2026?

Vol

$217.71

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $217.71

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $217.71

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Will Laura Loomer join the Trump administration before Jan 1, 2027?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will Laura Loomer join the Trump administration before Jan 1, 2027?	Kalshi	9%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$217.71

Volume

Markets

Platforms

About This Event

Before Jan 1, 2027 If Laura Loomer joins the Presidential Administration before Jan 1, 2027, then the market resolves to Yes. For the purposes of this Contract, Laura Loomer "joins" the Presidential Administration if ANY of the following occurs after Issuance and is publicly announced before Jan 1, 2027: The President formally submits Laura Loomer's nomination to the U.S. Senate for any position requiring Senate confirmation (PAS position); Laura Loomer is confirmed by the U.S. Senate to any p

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:** Sunday, October 11, 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:** Will Laura Loomer join the Trump administration in 2026?
**Category:** Politics | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Before Jan 1, 2027

If Laura Loomer joins the Presidential Administration before Jan 1, 2027, then the market resolves to Yes. For the purposes of this Contract, Laura Loomer "joins" the Presidential Administration if ANY of the following occurs after Issuance and is publicly announced before Jan 1, 2027:

The President formally submits Laura Loomer's nomination to the U.S. Senate for any position requiring Senate confirmation (PAS position);
Laura Loomer is confirmed by the U.S. Senate to any p

**Resolution Criteria (Sample):**
"If Laura Loomer joins the Presidential Administration before Jan 1, 2027, then the market resolves to Yes. Secondary rules: For the purposes of this Contract, Laura Loomer "joins" the Presidential Administration if ANY of the following occurs after Issuance and is publicly announced before Jan 1, 20"

## 2. Market liquidity & Volume
* **Total Volume:** $218
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Laura Loomer join the Trump administration before Jan 1, 2027?
- **Kalshi** (End: Jan 8, 2027): Vol $218
  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".

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

KALSHIPolitics