DEX aggregators

Oku Trade

# Oku Trade Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for okutrade measures the count of unique user addresses that interact with the okutrade v3 protocol on XDC chain each day. The metric captures users who perform either trading activities (token swaps) or flash loan activities, classifying all active participants as "Traders" regardless of their specific activity type. This metric provides insight into the daily engagement level and user adoption of the okutrade decentralized exchange protocol.

## 2. Data sources

The calculation relies on the following raw blockchain data sources:

- **XDC blockchain event logs**: Parsed `Pool_Swap_event` logs from okutrade v3 protocol contracts that capture DEX trading activity
- **XDC blockchain event logs**: Parsed `Pool_Flash_event` logs from okutrade v3 protocol contracts that capture flash lending activity  
- **XDC transaction records**: Raw XDC blockchain transaction data used to identify the actual transaction senders for flash loan activities
- **Protocol metadata**: Business classification data including market sectors, business segments, and product versions

## 3. Step-by-step calculation

### Component A: Trading activity extraction
- **Purpose**: Identify unique users who performed token swaps on okutrade v3
- **Logic**: Extract all `Pool_Swap_event` logs from okutrade v3 contracts on XDC chain. Each swap event contains user address information in the `sender` field, along with token amounts being swapped (`amount0` and `amount1`). The block timestamp is truncated to daily granularity to group activities by day. Each trading activity is classified with business metadata including 'Exchange AMM' business line, 'exchanges' market sector, 'dex' business segment, and 'v3' product identifier.
- **Key fields**: `sender` (user address), `block_timestamp` (truncated to day), `amount0` and `amount1` (token swap amounts), transaction and log metadata for deduplication

### Component B: Flash loan activity extraction  
- **Purpose**: Identify unique users who utilized flash loans on okutrade v3
- **Logic**: Extract all `Pool_Flash_event` logs from okutrade v3 contracts on XDC chain. Flash loan events are enriched by joining with XDC transaction data to capture both the contract user address from the event and the actual transaction sender address. The block timestamp is truncated to daily granularity. Flash loan amounts for both tokens in the pool are captured (`amount0` and `amount1`). Same business classification metadata is applied as with trading activities.
- **Key fields**: `sender` (from flash loan event), transaction `from_address` (actual sender), `block_timestamp` (truncated to day), `amount0` and `amount1` (flash loan amounts)

### Final aggregation
- **Combining components**: Trading and flash loan user activities are combined using a union operation with deduplication to ensure users who performed both activities on the same day are only counted once
- **User classification**: All active users are uniformly classified as 'Trader' type regardless of whether they performed swaps, flash loans, or both
- **Time aggregation**: Daily boundaries are established by truncating all timestamps to day granularity, ensuring consistent daily user counts
- **Final calculation**: The result is a daily list of unique user addresses along with their associated metadata, where each record represents one unique user active on a specific day. The actual DAU count would be derived by counting distinct user addresses per day from this dataset.

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

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

Oku Trade

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown