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

ApeSwap is a non-custodial exchange protocol built originally on BNB Chain. ApeSwap was founded by an anonymous team and launched in 2021.

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

governance

github

twitter

discord

etherscan

website

Exchanges (DEX)

ApeSwap

# ApeSwap Active users (daily) Methodology

## 1. Overview

ApeSwap Daily Active Users (DAU) measures the number of unique addresses that executed trades on ApeSwap's decentralized exchange on a given day. This metric captures user engagement by counting distinct trader addresses across all supported blockchain networks (Ethereum, Polygon, Arbitrum, and BSC). The calculation identifies users through their trading activity on ApeSwap's automated market maker (AMM) pools.

## 2. Data sources

The calculation uses the following raw blockchain data sources:

- **ApeSwap smart contract events**: Parsed `Swap` events from ApeSwap's ApePair smart contracts deployed across Ethereum, Polygon, Arbitrum, and BSC networks. These events contain swap execution details including token amounts and contract addresses.
- **Blockchain transaction data**: Transaction records from Ethereum, Polygon, Arbitrum, and BSC networks containing user addresses and transaction metadata.
- **Smart contract logs**: Raw event logs from ApeSwap's decentralized exchange smart contracts capturing all trading activity.

## 3. Step-by-step calculation

### Component A: Trade event processing
- **Purpose**: Extract and standardize trading activity from ApeSwap smart contracts across multiple blockchain networks
- **Logic**: The system processes `Swap` events from ApeSwap's ApePair smart contracts on Ethereum, Polygon, Arbitrum, and BSC. Each swap event contains details about token amounts traded, including `amount0In`, `amount0Out`, `amount1In`, and `amount1Out` fields representing the inbound and outbound amounts for both tokens in the trading pair. The swap events are joined with corresponding transaction records to identify the actual user who initiated the trade through the transaction's `from_address` field.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for linking events to transactions, `address` for the smart contract address, `sender` for the contract caller, and amount fields for calculating trade volumes

### Component B: User address identification
- **Purpose**: Connect swap events to the actual users who executed the trades
- **Logic**: Swap events from smart contracts contain the contract address that executed the swap, but not the original user address. The system joins swap events with transaction data using the `transaction_hash` to retrieve the `from_address` field, which represents the user who initiated the transaction. This ensures each trade is properly attributed to the end user rather than to intermediate smart contract addresses.
- **Key fields**: `transaction_hash` for joining events to transactions, `from_address` as the identified user address, `block_timestamp` for temporal filtering

### Final aggregation
- **Combining components**: The processed trade data contains user addresses linked to their trading activity with precise timestamps and chain information
- **Time aggregation**: Timestamps are truncated to daily boundaries using day-level granularity, grouping all trading activity within each 24-hour period
- **User classification**: All identified addresses are classified as 'Trader' user type since the metric specifically measures trading activity
- **Final calculation**: The system counts distinct user addresses per day per chain, ensuring each user is counted only once per day regardless of how many trades they executed. The result includes the timestamp, chain, user type, and the distinct user address count representing the daily active users for that day and chain combination.

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

Unique revenue-generating users over a fixed 24-hour window.

ApeSwapABOND

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown