Users are able to use the Orca protocol to transact with digital assets on a peer-to-peer or peer-to-protocol basis by trading against liquidity  pools, which are created and seeded by other users providing liquidity of a pair of tokens into such liquidity pools in exchange for a stake of the liquidity and trading fees generated by such pools.

Orca is a non-custodial automated market maker (AMM) protocol built on Solana. Orca was founded by Yutaro Mori and Grace Kwan and launched in 2021.

ORCA tokenholders govern the Orca protocol treasury, which receives a portion of the trading fees paid by users of the protocol.

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Orca

Orca | Data Breakdown

# Orca Active users (daily) Methodology

## 1. Overview

The Orca Daily Active Users (DAU) metric measures the number of unique users who executed trades on the Orca protocol each day. This metric specifically tracks trading activity across Orca's two main product lines: Whirlpools and Orca Token Swap V2. The calculation identifies distinct wallet addresses (signers) that initiated trades on any given day, providing insight into the protocol's daily user engagement and trading adoption.

## 2. Data sources

- **Solana blockchain transaction data**: Parsed Solana blockchain transactions containing program execution details
- **DEX trade parsing**: Processed Solana transaction logs that have been parsed to extract decentralized exchange trading information
- **Program execution logs**: Solana program invocation data that identifies which protocols were used in each transaction

## 3. Step-by-step calculation

### Component A: Trade data extraction
- **Purpose**: Extract and filter Orca-specific trading activity from Solana DEX trades
- **Logic**: The system filters all Solana DEX trades to include only those involving Orca protocol programs. It identifies Orca trades by checking for two specific program addresses: `whirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc` (Whirlpools) and `9W959DqEETiGZocYWCQPaJ6sBmUzgfxXfqGeTEdp3aQP` (Orca Token Swap V2). The system examines both inner and outer program fields to capture all Orca-related trading activity, ensuring comprehensive coverage of trades executed through or involving Orca protocols.
- **Key fields**: `signer` (wallet address executing the trade), `block_timestamp` (transaction timing), `base_mint` and `quote_mint` (token addresses being traded), `base_amount` and `quote_amount` (trade volumes), `inner_program` and `outer_program` (protocol identifiers)

### Component B: Product classification
- **Purpose**: Categorize trades by Orca product type to enable product-specific analysis
- **Logic**: Each trade is classified based on the program address involved. Trades involving `whirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc` are labeled as 'whirlpools' product, while trades involving `9W959DqEETiGZocYWCQPaJ6sBmUzgfxXfqGeTEdp3aQP` are labeled as 'Orca Token Swap V2'. This classification allows for tracking user activity across different Orca products.
- **Key fields**: `product_id` (derived product classification), `pool_address` (specific trading pool), `amount_0` and `amount_1` (absolute values of traded amounts)

### Component C: Daily user aggregation
- **Purpose**: Count unique active users per day across all Orca trading activity
- **Logic**: The system truncates all trade timestamps to daily granularity using day-level timestamp truncation. For each day, it identifies all unique wallet addresses (`signer` values) that executed at least one trade on any Orca product. The calculation uses distinct counting to ensure each user is counted only once per day, regardless of how many trades they executed.
- **Key fields**: `timestamp` (truncated to daily granularity), `user_dau` (distinct signer addresses), `user_type` (set to 'Trader'), `chain` (set to 'solana')

### Final aggregation
- **Combining components**: All trade data is aggregated at the daily level, combining activity from both Whirlpools and Orca Token Swap V2 products into a single daily active user count
- **Time aggregation**: Timestamps are truncated to day boundaries, with each day representing a 24-hour period of user activity
- **Final calculation**: The final DAU value represents the count of distinct wallet addresses that executed at least one trade on any Orca product during each day. Users are classified as 'Trader' type since the metric specifically tracks trading activity rather than other protocol interactions.

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

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

OrcaORCA

Active users (daily)

Active users (daily)

Competitive landscape