Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETCulture

Billboard Hot 100 #1 Song Week of October 24

Name: Billboard Hot 100 #1 Song Week of October 24
End: 2026-10-21T03:59:00.000Z

Total Volume

$1.75K

Events

Markets

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Billboard Hot 100 #1 Song Week of October 24

Vol

$1.75K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.75K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.75K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

5 markets tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 24?

No data available

Single-Platform Markets(5)

Market	Platform	Price
Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 24?	Poly	95%
Will "Choosin' Texas - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 24?	Poly	4%
Will "Been By Now - Morgan Wallen" be the Billboard Hot 100 #1 song for the week of October 24?	Poly	3%
Will "Boston - Stella Lefty" be the Billboard Hot 100 #1 song for the week of October 24?	Poly	3%
Will "Hate That I Made You Love Me - Ariana Grande" be the Billboard Hot 100 #1 song for the week of October 24?	Poly	2%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

95%

Top Probability

$1.75K

Volume

Markets

Platforms

About This Event

Billboard updates its Hot 100 songs chart each Tuesday (with adjusted release schedules on some holiday weeks), reflecting data from the previous week (Friday-Thursday). Each Billboard chart is then titled “Week of (date of the upcoming Saturday)”. This market will resolve according to the number 1 song on the Billboard Hot 100 chart titled “Week of October 24, 2026”. Songs will be primarily ranked by order on the specified chart. If two or more songs are tied for any position, ties will be bro

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

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**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:** Tuesday, October 13, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Billboard Hot 100 #1 Song Week of October 24
**Category:** Culture | **Status:** active
**Resolution Date:** Oct 21, 2026 (9 days left)
**Time Pressure:** Medium

**Description:** Billboard updates its Hot 100 songs chart each Tuesday (with adjusted release schedules on some holiday weeks), reflecting data from the previous week (Friday-Thursday). Each Billboard chart is then titled “Week of (date of the upcoming Saturday)”.

This market will resolve according to the number 1 song on the Billboard Hot 100 chart titled “Week of October 24, 2026”. Songs will be primarily ranked by order on the specified chart. If two or more songs are tied for any position, ties will be bro

**Resolution Criteria (Sample):**
"Billboard updates its Hot 100 songs chart each Tuesday (with adjusted release schedules on some holiday weeks), reflecting data from the previous week (Friday-Thursday). Each Billboard chart is then titled “Week of (date of the upcoming Saturday)”.

This market will resolve according to the number 1"

## 2. Market liquidity & Volume
* **Total Volume:** $1.8K
* **Total Liquidity:** $13.2K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.13)

## 3. Market Data (Prices & Odds)
### 1. Will "Choosin' Texas - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 24?
- **Polymarket** (End: Oct 21, 2026): Vol $368
  DATA: [Yes: 4.4% (0.0%)] | [No: 95.6% (0.0%)]

### 2. Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 24?
- **Polymarket** (End: Oct 21, 2026): Vol $1.3K
  DATA: [Yes: 95.1% (0.0%)] | [No: 4.9% (0.0%)]

### 3. Will "Boston - Stella Lefty" be the Billboard Hot 100 #1 song for the week of October 24?
- **Polymarket** (End: Oct 21, 2026): Vol $37
  DATA: [Yes: 2.6% (0.0%)] | [No: 97.4% (0.0%)]

### 4. Will "Been By Now - Morgan Wallen" be the Billboard Hot 100 #1 song for the week of October 24?
- **Polymarket** (End: Oct 21, 2026): Vol $37
  DATA: [Yes: 2.8% (0.0%)] | [No: 97.2% (0.0%)]

### 5. Will "Hate That I Made You Love Me - Ariana Grande" be the Billboard Hot 100 #1 song for the week of October 24?
- **Polymarket** (End: Oct 21, 2026): Vol $37
  DATA: [Yes: 2.3% (0.0%)] | [No: 97.7% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETCulture