DEX aggregators

Oku Trade

# Oku Trade Average revenue per user (ARPU) Methodology

## 1. Overview

Average Revenue Per User (ARPU) measures the average revenue generated per active user on a daily basis. For Okutrade, ARPU is calculated by dividing total daily revenue by the number of daily active users. Currently, Okutrade generates zero revenue as their business model relies on "advance orders" which have not yet been implemented, resulting in an ARPU of 0.

## 2. Data sources

The calculation uses several raw blockchain data sources from the XDC network:

- **XDC blockchain event logs**: Parsed `Pool_Swap_event` logs from Okutrade's Uniswap v3-style decentralized exchange pools
- **XDC blockchain event logs**: Parsed `Pool_Flash_event` logs from flash loan activities on Okutrade pools  
- **XDC blockchain event logs**: Parsed `Factory_PoolCreated_event` logs that map pool addresses to their underlying token pairs
- **XDC transaction records**: Complete transaction data including sender addresses and transaction metadata
- **End-of-day token price feeds**: USD price data for tokens traded on Okutrade pools
- **Token metadata**: Token information including decimal places and symbols for proper amount calculations

## 3. Step-by-step calculation

### Component A: Revenue calculation
- **Purpose**: Determines total daily revenue generated by Okutrade
- **Logic**: Currently, Okutrade's revenue model is based on "advance orders" which have not been implemented. The revenue calculation framework exists and follows the same dimensional structure as the fee calculation (by timestamp, chain, and product), but all revenue values are hardcoded to 0. This means Okutrade currently generates no revenue from their trading activities.
- **Key fields**: `timestamp` for daily aggregation, `chain_id` for XDC network, `product_id` for v3 product identification, and `revenue` set to 0

### Component B: Daily active users calculation  
- **Purpose**: Counts distinct users who performed trading or flash loan activities each day
- **Logic**: Identifies active users from two types of activities on XDC. First, users who execute swap trades are captured from `Pool_Swap_event` logs, where the `contract_user_address` field identifies the trading contract user. Second, users who perform flash loans are captured from `Pool_Flash_event` logs, where the actual user address is resolved by joining the event's transaction hash with XDC transaction records to get the `from_address`. Both user types are classified as 'Trader' user type. Users are deduplicated daily using approximate count distinct aggregation.
- **Key fields**: `user_address` and `contract_user_address` for user identification, `block_timestamp` for daily grouping, `chain` for XDC network, `user_type` set to 'Trader'

### Component C: Trading pair mapping
- **Purpose**: Maps pool addresses to their underlying token pairs for proper volume and fee calculations
- **Logic**: Uses `Factory_PoolCreated_event` logs from XDC to create a mapping between pool addresses and their constituent token pairs. Each pool creation event contains the pool address, token0 address, token1 address, and fee tier. This mapping is enriched with token metadata including decimal places and symbols to enable proper amount calculations and human-readable pair names.
- **Key fields**: `account_address` for pool address, `token0_address` and `token1_address` for the token pair, `fee_tier` for pool fee percentage, `token0_decimals` and `token1_decimals` for amount conversion

### Final aggregation
- **Combining components**: The ARPU calculation uses a macro that divides the revenue metric by the user DAU metric. Since revenue is consistently 0, this division results in 0 regardless of the number of active users
- **Currency conversion**: While the underlying infrastructure supports USD conversion using end-of-day price feeds for volume calculations, the revenue component does not require conversion as it is hardcoded to 0
- **Time aggregation**: Data is aggregated on a daily basis with timestamps truncated to day boundaries. The calculation maintains dimensional breakdowns by chain (XDC), product (v3), and user type (Trader)
- **Final calculation**: ARPU = Total Daily Revenue ÷ Daily Active Users = 0 ÷ DAU = 0. This results in zero ARPU across all time periods and dimensional breakdowns until Okutrade implements their advance order revenue model

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

Oku Trade

Average revenue per user (ARPU)

Average revenue per user (ARPU)

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