This chart shows hourly transaction trends, offering a detailed view of purchase activity throughout the day over the past two months. The data, dynamically updated through an API, represents the percentage of total transactions occurring in each hour. By tracking hourly percentages, the chart helps identify peak purchase times, shifts in transaction patterns, and potential opportunities for targeted actions. This analysis is valuable for understanding peak transaction hours, optimizing resource allocation, and gaining insights into consumer behavior on an hourly basis.

The token range distribution shows the frequency of purchases within different value ranges, helping to understand consumer purchasing patterns and preferences in token denominations.

This chart displays daily transaction trends over the past two months, providing a visual comparison of purchase activity over time. The data is dynamically updated via an API to ensure accuracy and reflects the total number of transactions recorded for each day. By tracking daily totals, the chart offers insights into purchasing behavior patterns, helping to identify peaks, dips, and overall trends in transaction volume. This can be useful for monitoring activity fluctuations, understanding consumer behavior, and planning accordingly based on recent transaction data.