Liquidity providers deposit funds into Wombat Exchange and receive WOM token rewards.

Wombat Exchange is a non-custodial exchange protocol built on BNB Chain. Wombat Exchange was founded by Alex Lee and launched in April 2022.

WOM tokenholders own and govern the protocol. They currently receive all trading fees paid by traders (revenue). Wombat Exchange’s investors include Binance Labs, Animoca Brands and Hailstone Ventures.

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Wombat Exchange

# Wombat Exchange Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) measures the number of unique wallet addresses that executed at least one trade on Wombat Exchange within a 24-hour period. This metric provides insight into user engagement and platform adoption across Wombat's multi-chain decentralized exchange ecosystem. The calculation identifies unique traders by their wallet addresses and aggregates them daily across all supported blockchain networks.

## 2. Data sources

The methodology relies on the following raw data sources:

- **Swap event logs**: Parsed `Swap` and `SwapV2` events from 40+ different Wombat pool smart contracts across multiple pool types (CrossChainPool, Pool, SidePool, DynamicPool, and specialized pools like EthxPool, FraxPool, etc.)
- **Multi-chain coverage**: Event logs from BSC, Arbitrum, Ethereum, Avalanche, Optimism, and Base blockchains
- **Transaction records**: Blockchain transaction data from all supported chains to identify the initiating user addresses
- **Pool contract addresses**: Smart contract addresses for various Wombat pool types including main pools, cross-chain pools, and specialized token pools

## 3. Step-by-step calculation

### Component A: Trade event collection
- **Purpose**: Aggregate all trading activity across Wombat's multi-chain ecosystem
- **Logic**: Collect all `Swap` and `SwapV2` events from 40+ Wombat pool contracts across 6 blockchains. The events are sourced from various pool types including main pools, cross-chain pools, side pools, dynamic pools, and specialized pools for specific tokens like frxETH, USDC, BNB, and others. Each swap event contains transaction details, token addresses, and amounts.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for linking to transaction data, `fromToken` and `toToken` for traded assets, `fromAmount` and `toAmount` for trade sizes, contract `address` for pool identification

### Component B: User address identification  
- **Purpose**: Link swap events to the actual users who initiated the trades
- **Logic**: Join swap events with blockchain transaction records using `transaction_hash`. Extract the `from_address` from transaction records as the user address, since this represents the wallet that initiated the trading transaction. This ensures accurate user identification rather than relying on contract addresses or intermediary addresses.
- **Key fields**: `from_address` as the unique user identifier, `transaction_hash` for joining swap events to transactions

### Component C: Token address normalization
- **Purpose**: Standardize token addresses for consistent tracking
- **Logic**: Apply token address mapping to handle unsupported wrapped tokens. Specifically, three wrapped token addresses are mapped to the WOM token address to ensure proper categorization and avoid fragmentation in user tracking across different token representations of the same underlying asset.
- **Key fields**: Normalized `fromToken` and `toToken` addresses after mapping unsupported wrapped tokens to WOM token address

### Component D: Daily user aggregation
- **Purpose**: Calculate unique daily active users per chain
- **Logic**: Truncate `block_timestamp` to day boundaries using daily timestamp truncation. Group all trading activity by date and chain, then count distinct user addresses within each day-chain combination. This identifies users who performed at least one trade on each specific day and chain.
- **Key fields**: Daily truncated `timestamp`, `chain` identifier, distinct `user_address` count

### Final aggregation
- **Combining components**: The trade events with user addresses are aggregated by applying distinct counting on user addresses within daily time boundaries for each blockchain
- **Time aggregation**: Daily boundaries are established by truncating timestamps to the day level, ensuring consistent 24-hour periods across different timezones
- **Chain separation**: Users are counted separately for each blockchain network, allowing for chain-specific DAU analysis
- **Final calculation**: The result is a daily count of unique wallet addresses that executed at least one trade on Wombat Exchange, segmented by blockchain network and classified under the 'Trades' user type

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

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

Wombat ExchangeWOM

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown