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Bloom Trading Bot

# Bloom Trading Bot Active users (daily) Methodology

## 1. Overview

Daily Active Users (DAU) for BloomTradingBot measures the number of unique traders who paid fees to the protocol on each day. This metric identifies trading activity by monitoring native SOL payments to the protocol's fee collection address, treating each unique transaction signer as an active trader. The calculation assumes that fee payments indicate active trading behavior within the BloomTradingBot ecosystem.

## 2. Data sources

- **Solana native transfers**: SOL transfer events between addresses on the Solana blockchain, including sender, recipient, amount, and transaction details
- **Solana transaction records**: Transaction metadata including the signer (initiator) of each transaction and block timestamps
- **Blockchain timestamps**: Block-level timestamps from Solana for temporal aggregation

## 3. Step-by-step calculation

### Component A: Fee payment identification
- **Purpose**: Identify trading activity through fee payments to the BloomTradingBot protocol
- **Logic**: Extract all native SOL transfers sent to the specific fee collection address `7HeD6sLLqAnKVRuSfc1Ko3BSPMNKWgGTiWLKXJF31vKM`. Filter out any transfers where the transaction signer is the fee collection address itself to exclude internal protocol operations. Capture the `transaction_signer` field as the user identifier, `block_timestamp` for timing, and transfer `amount` for context. Set the `token_address` to the native SOL token identifier and assign `chain` as 'solana'.
- **Key fields**: `transaction_signer` (trader identifier), `block_timestamp` (transaction timing), `amount` (fee amount), `transaction_id` (unique transaction reference)

### Final aggregation
- **Combining components**: Use the fee payment data as the single source of trading activity
- **Time aggregation**: Truncate `block_timestamp` to daily boundaries using day-level granularity, creating a `timestamp` field representing each calendar day
- **User deduplication**: Select distinct combinations of truncated daily timestamp and `signer` (renamed from `transaction_signer`) to count each unique trader only once per day, regardless of how many fee payments they made
- **Final calculation**: The result is a table with one row per unique trader per day, where each row represents one daily active user. The `user_dau` field contains the trader's address, and the `timestamp` field indicates the day of activity. The metric value is the count of distinct rows for any given day.

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

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

Bloom Trading Bot

Active users (daily)

Active users (daily)

Competitive landscape