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., ) indicates the item has experienced appreciation (price increase) over the week, potentially signaling rising demand or reduced supply.
A negative percentage (e.g., ) indicates depreciation (price decrease), possibly due to overstocking, new competition, or sales events.
A value close to signifies strong price stability.
The simple structure of this data facilitates a wide range of analytical tasks:
Market Timing: Determine the optimal days or conditions under which prices are most likely to drop (or surge) over a 7-day window.
Product Segmentation: Group products by their volatility index to understand which market segments are most sensitive to change.
Pricing Strategy Audit: Assess the effectiveness of promotional campaigns by observing the seven-day rebound or stabilization after an initial price change.
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.