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

GroupPOLYMARKET

Event GroupPOLYMARKETCulture

Billboard Hot 100 #1 Song Week of October 17

Name: Billboard Hot 100 #1 Song Week of October 17
End: 2026-10-13T23:59:00.000Z

Total Volume

$31.09K

Events

Markets

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Billboard Hot 100 #1 Song Week of October 17

Vol

$31.09K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $31.09K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $31.09K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

8 markets tracked

Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 17?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	99%
Will "Choosin' Texas - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	2%
Will "Boston - Stella Lefty" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%
Will "Be Her - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%
Will "I Knew It, I Knew You - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%
Will "hate that i made you love me - Ariana Grande" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%
Will "Been By Now - Morgan Wallen" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%
Will "Drake & Don Toliver - Solar Eclipse" be the Billboard Hot 100 #1 song for the week of October 17?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

99%

Top Probability

$31.09K

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 17, 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:** Sunday, October 11, 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 17
**Category:** Culture | **Status:** active
**Resolution Date:** Oct 13, 2026 (3 days left)
**Time Pressure:** High

**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 17, 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:** $31.1K
* **Total Liquidity:** $22.7K
* **Activity Level:** Stable (Vol/Liq Ratio: 1.37)

## 3. Market Data (Prices & Odds)
### 1. Will "Boston - Stella Lefty" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $420
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 2. Will "Be Her - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $316
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 3. Will "Choosin' Texas - Ella Langley" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $17.7K
  DATA: [Yes: 1.5% (0.0%)] | [No: 98.5% (0.0%)]

### 4. Will "I Knew It, I Knew You - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $310
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (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 17?
- **Polymarket** (End: Oct 13, 2026): Vol $311
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 6. Will "Been By Now - Morgan Wallen" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $496
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

### 7. Will "Patient Zero - Taylor Swift" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $11.2K
  DATA: [Yes: 98.5% (0.0%)] | [No: 1.5% (0.0%)]

### 8. Will "Drake & Don Toliver - Solar Eclipse" be the Billboard Hot 100 #1 song for the week of October 17?
- **Polymarket** (End: Oct 13, 2026): Vol $313
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (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.

POLYMARKETCulture