Market snapshot: Oct 12, 2026, 6:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETCrypto

Bitcoin green days week of October 19?

Name: Bitcoin green days week of October 19?
End: 2026-10-26T00:00:00.000Z

Total Volume

$0.00

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Bitcoin green days week of October 19?

Vol

$0.00

Events

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Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

8 markets tracked

Will Bitcoin have 4 green days the week of October 19?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will Bitcoin have 4 green days the week of October 19?	Poly	51%
Will Bitcoin have 5 green days the week of October 19?	Poly	51%
Will Bitcoin have 7 green days the week of October 19?	Poly	51%
Will Bitcoin have 1 green days the week of October 19?	Poly	50%
Will Bitcoin have 3 green days the week of October 19?	Poly	50%
Will Bitcoin have 6 green days the week of October 19?	Poly	50%
Will Bitcoin have 2 green days the week of October 19?	Poly	48%
Will Bitcoin have 0 green days the week of October 19?	Poly	48%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$0.00

Volume

Markets

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About This Event

This market will resolve to the number of green days for Bitcoin (BTC/USDT) during the specified week. Exactly one outcome in this market will resolve to “Yes”. The week consists of the seven Binance 1-day candles beginning at 12:00 AM UTC on the specified date (Monday - Sunday). A day is a green day if the finalized "CHANGE" value displayed for its candle is equal to or greater than 0.00%. A 1-day candle must be finalized before it is considered for this market (namely, once the next 1-day c

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:** Monday, October 12, 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:** Bitcoin green days week of October 19?
**Category:** Crypto | **Status:** active
**Resolution Date:** Oct 26, 2026 (14 days left)
**Time Pressure:** Medium

**Description:** This market will resolve to the number of green days for Bitcoin (BTC/USDT) during the specified week.

Exactly one outcome in this market will resolve to “Yes”.

The week consists of the seven Binance 1-day candles beginning at 12:00 AM UTC on the specified date (Monday - Sunday). A day is a green day if the finalized "CHANGE" value displayed for its candle is equal to or greater than 0.00%.

A 1-day candle must be finalized before it is considered for this market (namely, once the next 1-day c

**Resolution Criteria (Sample):**
"This market will resolve to the number of green days for Bitcoin (BTC/USDT) during the specified week.

Exactly one outcome in this market will resolve to “Yes”.

The week consists of the seven Binance 1-day candles beginning at 12:00 AM UTC on the specified date (Monday - Sunday). A day is a green "

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $22
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Bitcoin have 0 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 47.5% (0.0%)] | [No: 52.5% (0.0%)]

### 2. Will Bitcoin have 1 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (0.0%)]

### 3. Will Bitcoin have 2 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 48.0% (0.0%)] | [No: 52.0% (0.0%)]

### 4. Will Bitcoin have 3 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (0.0%)]

### 5. Will Bitcoin have 4 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (0.0%)]

### 6. Will Bitcoin have 5 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (0.0%)]

### 7. Will Bitcoin have 6 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (0.0%)]

### 8. Will Bitcoin have 7 green days the week of October 19?
- **Polymarket** (End: Oct 26, 2026): Vol $0
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (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.

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