Liquidity providers deposit funds into Osmosis and receive trading fees from traders (supply-side fees).

Osmosis is a non-custodial exchange protocol built on Cosmos ecosystem. Osmosis was launched in June 2021.

OSMO token holders own and govern the protocol. They currently do not take a cut of the total trading fees paid by traders (revenue).

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Exchanges (DEX)

Osmosis

# Osmosis Average trading volume (per user) Methodology

## 1. Overview

This metric calculates the average daily trading volume per daily active user on the Osmosis decentralized exchange. It measures trading activity intensity by dividing total daily trading volume by the number of unique daily active users, providing insight into user engagement and trading behavior patterns. The calculation uses external scraped data from Osmosis blockchain and applies safe division to handle edge cases where no active users exist on a given day.

## 2. Data sources

The calculation relies on two primary external data sources:

- **Trading volume data**: Pre-aggregated daily trading volume data scraped from Osmosis blockchain, containing daily total trading amounts in native units
- **Daily active user data**: Pre-aggregated daily active user counts scraped from Osmosis blockchain, tracking unique transaction senders per day

Both data sources are maintained by external scrapers that monitor Osmosis blockchain activity and provide daily aggregated metrics rather than raw blockchain events or transaction logs.

## 3. Step-by-step calculation

### Component A: Trading volume extraction
- **Purpose**: Extracts and processes daily trading volume data from Osmosis
- **Logic**: Retrieves trading volume data from external scraper source, casting string `value` fields to numeric amounts. Groups data by daily timestamps and applies consistent metadata tags including chain identifier as 'osmosis', business line as 'Exchange AMM', market sector as 'exchanges', business segment as 'dex', and version as 'v1'. Sums trading volumes across all trading activity for each day.
- **Key fields**: Daily `timestamp`, trading `amount` (cast from raw value), chain and business classification metadata

### Component B: Daily active user extraction  
- **Purpose**: Extracts and processes daily active user counts from Osmosis blockchain activity
- **Logic**: Retrieves daily active user data from external scraper source, casting string `value` fields to numeric user counts and averaging values grouped by day. Categorizes all users as 'Transaction sender' type to represent active traders. Creates multiple dimensional breakdowns of the user data: project-level aggregation (project_dbt_tag), chain-level aggregation (chain), and user-type-level aggregation (user_type). Each breakdown maintains the same user count but provides different grouping contexts for flexible metric calculation.
- **Key fields**: Daily `timestamp`, `user_dau` count (averaged from raw values), `user_type` classification, dimensional grouping categories

### Final aggregation
- **Combining components**: Joins trading volume data with daily active user data on matching daily timestamps, specifically using the project_dbt_tag dimensional breakdown of user data to get overall project-level DAU counts. Sums total trading volume and takes maximum DAU count for each day to ensure single values per day.
- **Currency conversion**: No currency conversion applied as trading volumes are maintained in native units
- **Time aggregation**: Data is processed at daily granularity with timestamp boundaries aligned to calendar days
- **Final calculation**: Divides total daily trading volume by daily active user count using safe division function to prevent errors when DAU is zero. Missing days are filled with zero values through the finalization process. Results are filtered to include only dates up to June 20, 2024.

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

Average trading volume (per user)

Trading volume divided by daily active users.

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Average trading volume (per user)

Average trading volume (per user)

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