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Drift Protocol

# Drift Protocol Active users (daily) Methodology

## 1. Overview

Daily active users (DAU) for Drift Protocol measures the number of unique wallet addresses that interact with the Drift Protocol trading platform on Solana on any given day. This metric answers the business question of user engagement and platform adoption by counting distinct users who perform any trading or protocol interaction within a 24-hour period. The calculation uses a straightforward approach of identifying unique transaction signers per day from all Drift Protocol program interactions.

## 2. Data sources

The metric relies on the following raw data sources:
- **Solana instruction logs**: Parsed Solana blockchain instruction records that capture all program interactions and transactions
- **Transaction metadata**: Solana transaction signatures, timestamps, and signer information from blockchain transaction data  
- **Program interaction data**: Specific interactions with the Drift Protocol program identified by its program address

## 3. Step-by-step calculation

### Component A: Protocol interaction identification
- **Purpose**: Identify all user interactions with the Drift Protocol on Solana
- **Logic**: Extract instruction records from Solana blockchain data where the executing account matches the specific Drift Protocol program ID `dRiftyHA39MWEi3m9aunc5MzRF1JYuBsbn6VPcn33UH`. This captures all types of trading interactions, including placing orders, executing trades, managing positions, and other protocol operations. The system records the block timestamp, transaction ID, and most importantly the transaction signer (user's wallet address) for each interaction.
- **Key fields**: `block_timestamp` for timing, `transaction_signer` for user identification, `transaction_id` for transaction tracking, and `executing_account` for protocol filtering

### Component B: Daily user aggregation  
- **Purpose**: Calculate unique active users per day by counting distinct wallet addresses
- **Logic**: Take the protocol interactions and apply daily timestamp truncation to group all interactions within 24-hour periods. Count distinct transaction signers (wallet addresses) for each day to identify unique users. All users are classified as 'Trader' type since they're engaging with a trading protocol. The system assigns 'solana' as the chain identifier and 'driftprotocol' as the product identifier for proper categorization.
- **Key fields**: `timestamp` truncated to day level, `signer` for unique user counting, `user_type` set to 'Trader', `chain_id` set to 'solana', and `product_id` set to 'driftprotocol'

### Final aggregation
- **Combining components**: The interaction data flows directly into the DAU calculation without complex joins, as both components operate on the same base dataset
- **Currency conversion**: No currency conversion required as this is a user count metric
- **Time aggregation**: Daily boundaries are established using timestamp truncation to day-level granularity, ensuring users are counted once per calendar day regardless of multiple interactions
- **Final calculation**: The final DAU value equals the count of distinct wallet addresses (signers) that interacted with the Drift Protocol program on each given day, with each unique address counted exactly once per day regardless of transaction volume

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

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

Drift ProtocolDRIFT

Active users (daily)

Active users (daily)

Competitive landscape