Honeypop is an AMM and concentrated liquidity layer on Scroll, built for efficient swaps and real yield. It will also feature a Morpho-powered money market, enabling seamless lending and borrowing.

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Exchanges (DEX)

Honeypop

# Honeypop Average trading volume (per user) Methodology

## 1. Overview

The trading volume average per user metric calculates the average daily trading volume per unique active user on the Honeypop DEX platform. This metric provides insight into user engagement intensity by dividing the total USD value of trading activity by the number of unique users who interacted with the platform each day. The calculation uses anti-manipulation techniques and includes both trading and flash loan users to provide a comprehensive view of platform usage efficiency.

## 2. Data sources

The calculation relies on the following raw data sources:
- **Blockchain event logs**: Parsed Scroll blockchain event logs from Honeypop v1 DEX smart contracts, specifically `Pool_Swap_event` logs for trading activity, `Pool_Flash_event` logs for flash loan activity, and `Factory_PoolCreated_event` logs for trading pair definitions
- **Transaction data**: Scroll blockchain transaction records used to identify the actual user addresses (transaction originators) behind contract interactions
- **Token metadata**: Token information including decimal places and symbols for proper amount normalization and display
- **External price data**: End-of-day token price feeds for USD conversion of trading volumes
- **Configuration data**: Denylist configuration for trading pairs with limited price feed support (currently empty)

## 3. Step-by-step calculation

### Component A: Trading volume calculation
- **Purpose**: Calculates the total daily USD trading volume across all Honeypop DEX trading pairs
- **Logic**: Extracts all `Pool_Swap_event` logs from Honeypop v1 contracts on Scroll blockchain, excludes any denylisted trading pairs, normalizes token amounts by dividing by token-specific decimal places, converts both token amounts to USD using end-of-day price feeds, takes the lesser of the two USD values to prevent price manipulation attacks, and aggregates the daily totals
- **Key fields**: Uses `amount0` and `amount1` from swap events, applies decimal normalization, joins with end-of-day price feeds on `token_address`, `timestamp`, and `chain` fields

### Component B: Daily active users calculation  
- **Purpose**: Counts unique users who interacted with the Honeypop platform each day through trading or flash loans
- **Logic**: Combines user addresses from both swap transactions and flash loan transactions, identifies actual users by looking at transaction originator addresses rather than contract callers, groups by day and counts distinct user addresses using approximate counting for efficiency, includes users from both trading activity and flash loan activity to capture all platform interactions
- **Key fields**: Uses `user_address` field from transaction records, applies daily timestamp truncation, uses `approx_count_distinct` function for scalable unique user counting

### Final aggregation
- **Combining components**: Joins the daily trading volume totals with daily active user counts on matching timestamp and dimension level (project-level aggregation)
- **Currency conversion**: All token amounts are converted to USD using end-of-day price feeds with anti-manipulation protection by selecting the minimum USD value between token pairs in each trade
- **Time aggregation**: Data is aggregated at daily boundaries using timestamp truncation to day granularity, with both components aligned to the same daily time periods
- **Final calculation**: Applies safe division of total daily trading volume by total daily active users to handle edge cases where user count might be zero, resulting in the average trading volume per user for each day

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

Average trading volume (per user)

Trading volume divided by daily active users.

Honeypop

Average trading volume (per user)

Average trading volume (per user)

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