🚀 The 7-Day Price Volatility Dataset: Market Dynamics Tracker

🔍 Dataset Description & Fields

This dataset is designed to capture short-term market liquidity and volatility by comparing the initial price of an item to its price exactly one week later. It is a powerful tool for analyzing pricing strategies, predicting short-term market trends, and identifying products with significant price instability.

Interpretation:

• A positive percentage (e.g., $5.5\%$ ) indicates the item has experienced appreciation (price increase) over the week, potentially signaling rising demand or reduced supply.

• A negative percentage (e.g., $-2.1\%$ ) indicates depreciation (price decrease), possibly due to overstocking, new competition, or sales events.

• A value close to $0\%$ signifies strong price stability.

💡 Advanced Analytical Uses

The simple structure of this data facilitates a wide range of analytical tasks:

1. Market Timing: Determine the optimal days or conditions under which prices are most likely to drop (or surge) over a 7-day window.

2. Product Segmentation: Group products by their volatility index to understand which market segments are most sensitive to change.

3. Pricing Strategy Audit: Assess the effectiveness of promotional campaigns by observing the seven-day rebound or stabilization after an initial price change.

4. Risk Assessment: Use the change percentage as a risk indicator for inventory management or investment decisions.

First time time it was scraped at 01-12-2025 and next time at 08-12-2025.