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

DODO is a non-custodial exchange protocol built on Ethereum and other blockchains. DODO launched in 2020.

DODO tokenholders own and govern the protocol. They currently take a cut of the total trading fees paid by traders (revenue). DODO's investors include Pantera Capital, Three Arrows Capital, Binance Labs, etc.

github

twitter

discord

etherscan

website

Exchanges (DEX)

DODO

# DODO Active users (monthly) Methodology

## 1. Overview

Active users (monthly) measures the number of unique addresses that make a revenue-generating transaction with DODO. This metric is used to evaluate user engagement, protocol adoption, and trading activity on the decentralized exchange. Active users (monthly) are measured over a 30-day rolling window. The metric is calculated by aggregating unique trading addresses across all supported versions of the DODO protocol, counting each unique address once per 30-day window regardless of transaction frequency.

## 2. Data sources

- **Blockchain events**: `BuyBaseToken` and `SellBaseToken` events from `NewBornDODO` and `USTPair` contracts, and `DODOSwap` events from `VendingMachine`, `StablePool`, `PrivatePool`, and `GasSavingPool` contracts, covering Ethereum, Arbitrum, Base, Polygon, and 3 other chains
- **Blockchain transactions**: Transaction sender addresses (`from_address`) extracted from native transaction records across the corresponding chains

## 3. Step-by-step calculation

### Component A: Trade event collection

- **Purpose**: Aggregates all trading activity across DODO protocols into a unified dataset
- **Logic**: Trading events are collected from multiple DODO contract types and versions. For DODO V1, `BuyBaseToken` and `SellBaseToken` events are parsed from `NewBornDODO` and `USTPair` contracts. For DODO V2, `DODOSwap` events are parsed from `VendingMachine`, `StablePool`, `PrivatePool`, and `GasSavingPool` contracts. These contract events are joined with native blockchain transaction records on the transaction hash to extract the transaction sender address (`from_address`), which represents the actual user executing the trade.
- **Key fields**: `block_timestamp`, `transaction_hash`, `from_address`, and `address`

### Component B: Monthly user aggregation

- **Purpose**: Converts the trade-level data into monthly unique user counts
- **Logic**: The collected trade events are aggregated over a 30-day rolling window. A distinct operation is applied to the user address field within each 30-day window to ensure each address is counted only once. All active users are classified under the 'Trader' user type to focus specifically on trading activity.
- **Key fields**: `timestamp`, `user_address`, and `user_type`

### Component C: Final active user aggregation

- **Purpose**: Consolidates monthly active user counts across all chains and protocol versions
- **Logic**: The distinct number of user addresses is aggregated over a 30-day rolling window across all chains and DODO protocol versions. The final active user count is represented by the total number of unique addresses that executed at least one trade on DODO during each 30-day rolling window.
- **Key fields**: `timestamp`, `chain`, and `user_mau`

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

Unique revenue-generating users over a rolling 30-day window.

DODODODO

Active users (monthly)

Active users (monthly)

Competitive landscape

Chain breakdown