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Blockchains (L2)

Rootstock

# Rootstock Active addresses (monthly) Methodology

## 1. Overview

Active addresses (monthly) measures the number of unique addresses that initiate transactions on Rootstock. This metric serves as a primary indicator of network utility and user growth within the ecosystem. By counting each address only once within a 30-day rolling window, the metric provides a clear view of distinct active participants. Activity is captured from all transaction senders across the network to ensure comprehensive coverage of on-chain engagement.

## 2. Data sources

- **Blockchain events**: Native transactions covering Rootstock

## 3. Step-by-step calculation

### Component A: Transaction sender extraction

- **Purpose**: Identify the unique addresses responsible for network activity.
- **Logic**: Transaction records are parsed to extract the sender field. These addresses are classified as the transaction senders and are collected alongside their respective block timestamps to establish a chronological record of activity.
- **Key fields**: `from_address` (sender identification), `block_timestamp` (timing).

### Component B: Distinct address identification

- **Purpose**: Determine the number of unique participants for each 30-day window.
- **Logic**: Block timestamps are truncated to a monthly grain based on UTC. Within each 30-day window, duplicate occurrences of the same sender address are filtered out to ensure that each participant contributes only once per 30-day window, regardless of the number of transactions performed.
- **Key fields**: `user_address` (unique identifier), `timestamp` (monthly period).

### Component C: Final aggregation and standardization

- **Purpose**: Consolidate the monthly counts into a standardized time series.
- **Logic**: The total count of distinct addresses is aggregated for the Rootstock network. The data is normalized to UTC monthly boundaries. A zero-filling strategy is applied to any months where no transaction activity is recorded to maintain a continuous and accurate data series for analysis.

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Unique addresses active over a rolling 30-day window.

RootstockRIF

Active addresses (monthly)

Active addresses (monthly)

Competitive landscape