Swappers provide liquidity and execute trades. They receive trading fees charged for each swap.

Mean Finance is a protocol that enables users to Dollar Cost Average (DCA) any ERC20 into any ERC20 with their preferred period frequency.

Mean Finance team owns and governs the protocol. They currently take a cut of the total trading fees paid by traders (revenue).

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Mean Finance

# Mean Finance Tradeable assets Methodology

## 1. Overview

The Mean Finance tradeable assets metric measures the cumulative number of ERC4626 vault tokens created through Mean Finance's factory contracts across multiple blockchain networks. This metric tracks the growth of investment products available on the platform over time. The calculation involves identifying token creation events from various vault factory contracts, aggregating them by day and chain, then calculating a running total to show the cumulative number of tradeable assets available on each chain.

## 2. Data sources

The calculation relies on the following raw blockchain data sources:

- **Mean Finance factory contract events**: Parsed `CreateERC4626` events from multiple vault factory contracts deployed across different chains
- **Ethereum events**: StakeableEulerERC4626Factory and EulerERC4626Factory `CreateERC4626` events
- **Arbitrum, Optimism, and Polygon events**: AaveV3ERC4626Factory `CreateERC4626` events 
- **BSC events**: VenusERC4626Factory `CreateERC4626` events and BeefyWrapperFactory `ProxyCreated` events
- **BSC ERC20 events**: Standard ERC20 `Approval` events used to identify underlying tokens for Beefy wrapper vaults
- **Token metadata**: Contract addresses, chain identifiers, and factory version information embedded in the event data

## 3. Step-by-step calculation

### Component A: ERC4626 token creation tracking
- **Purpose**: Identify and catalog all ERC4626 vault token creation events from Mean Finance factory contracts
- **Logic**: Extract `CreateERC4626` events from multiple factory contract types across five blockchain networks. For Ethereum, capture events from both StakeableEulerERC4626Factory and EulerERC4626Factory contracts. For Arbitrum, Optimism, and Polygon, capture AaveV3ERC4626Factory events. For BSC, capture VenusERC4626Factory events. Apply special handling for BSC Beefy wrapper tokens by joining `ProxyCreated` events from BeefyWrapperFactory with ERC20 `Approval` events to identify the underlying token addresses.
- **Key fields**: Extract `vault` addresses as account addresses, `asset` addresses as token addresses, block timestamps, and label each event with its originating chain and factory version

### Component B: Daily asset aggregation
- **Purpose**: Count the number of new tradeable assets created each day on each chain
- **Logic**: Group all token creation events by truncated daily timestamps and chain. Count distinct token addresses within each day-chain combination to determine how many new assets became available. This creates a time series of daily asset additions for each supported blockchain.
- **Key fields**: Daily timestamp boundaries, chain identifiers, and daily asset count totals

### Component C: Gap filling and normalization
- **Purpose**: Ensure complete time series data with no missing dates
- **Logic**: Apply forward-fill logic with zero values to create records for every day in the time range for each chain. Days without new token creations receive zero values rather than missing records. This ensures consistent time series data for downstream analysis and visualization.
- **Key fields**: Normalized daily timestamps, chain identifiers, and zero-filled asset counts

### Final aggregation
- **Combining components**: The daily asset counts are processed through a cumulative sum calculation partitioned by chain and ordered by date
- **Time aggregation**: Data is aggregated at daily granularity with timestamp truncation to day boundaries
- **Final calculation**: Calculate running total of tradeable assets using window function sum over all historical daily counts, partitioned by chain and ordered chronologically. This produces the cumulative number of tradeable assets available on each chain at any point in time. Apply final schema standardization and chain availability filtering to ensure data quality and consistency.

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

Number of unique tokens tradeable on the exchange.

Mean Finance

Tradeable assets

Tradeable assets

Competitive landscape

Chain breakdown