# Active users (weekly) Methodology

## Overview

Active users (weekly) measures the number of unique addresses that make a revenue-generating transaction with a project, i.e. An application or a blockchain. Active users (weekly) are measured on a 7-day rolling basis.

## Data sources

- Raw blockchain transaction records and program instructions
- Smart contract events capturing specific user interactions
- Asset metadata and token price feeds
- Chain availability and configuration data

## Common calculation approaches

### On-chain transaction analysis
Unique sender addresses are extracted from transaction records on EVM chains including Ethereum and BNB Chain, and from networks such as Tron and Solana. All transaction signers are identified as active users because every transaction on these blockchains requires a fee payment, regardless of whether the transaction is successful or failed.

### Service-specific interaction tracking
For service-oriented projects, unique users are identified through specific revenue-generating actions captured from smart contract data. For example, users are identified from Jito based on JitoSOL `Mint` and `Burn` instructions for liquid staking and native SOL transfers to fee collection accounts for MEV tipping services.

**Note:** The calculation approaches and protocol examples above are representative patterns. Individual protocol implementations may vary.

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

Unique revenue-generating users over a rolling 7-day window.

Active users (weekly)

Exchanges (DEX)

Liquidity providers deposit funds into QuickSwap and receive trading fees from traders (supply-side fees).

QuickSwap is a non-custodial exchange protocol built on Polygon. QuickSwap was founded by Nick Mudge & Sameep Singhania and launched in 2020.

QUICK tokenholders own and govern the protocol. They currently take a cut of the total trading fees paid by traders (revenue).

QuickSwap V2

Active users (weekly)

Active users (weekly)

Chain breakdown