Liquidity providers deposit funds into Ramses and stake their LP tokens to receive RAM tokens in proportion to their share of the votes (token incentives).

Ramses is a non-custodial exchange protocol built on Arbitrum. Ramses was founded by pseudonyms Dog and North in 2023.

RAM tokenholders own and govern the protocol. They vote which pools they wish to earn trading fees from (revenue).

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Exchanges (DEX)

Ramses Exchange

# Ramses Exchange Tradeable assets Methodology

## 1. Overview

The tradeable assets metric measures the cumulative number of unique tokens that have been made available for trading on Ramses exchange over time. This metric tracks the growth of token diversity on the platform by counting each unique token that appears in any trading pair, regardless of how many pairs it participates in. The calculation provides a running total that increases whenever new tokens are introduced through new trading pair creation.

## 2. Data sources

- **Ramses V1 factory events**: Parsed `PairCreated` events from the Ramses V1 factory contract on Arbitrum, containing token pair creation data for legacy AMM pools
- **Ramses V2 factory events**: Parsed `PoolCreated` events from the Ramses V2 factory contract on Arbitrum, containing token pair creation data for concentrated liquidity pools
- **Token metadata**: Reference data containing token symbols, decimals, and other metadata for display and validation purposes

## 3. Step-by-step calculation

### Component A: Trading pair extraction
- **Purpose**: Identify all trading pairs created on Ramses exchange and extract their component tokens
- **Logic**: Parse factory creation events from both Ramses V1 (`PairCreated`) and V2 (`PoolCreated`) versions on Arbitrum. Extract the `pair` or `pool` address along with the two token addresses (`token0` and `token1`) and creation timestamp. Join with token metadata to get symbol and decimal information for each token. Classify pairs by product type (Legacy Pair vs Concentrated Liquidity Pool) and version.
- **Key fields**: `account_address` (pair/pool address), `token0_address`, `token1_address`, `block_timestamp`, `product_id`, `version`, `chain`

### Component B: Unique token identification
- **Purpose**: Create a comprehensive list of all unique tokens with their first appearance dates
- **Logic**: Extract token addresses from trading pairs using a union operation that combines `token0_address` and `token1_address` from all pairs. Truncate timestamps to daily grain and identify the first appearance date for each unique token by taking the minimum timestamp across all pairs where the token appears. This ensures each token is counted only once regardless of how many different pairs it participates in.
- **Key fields**: `token_address`, `timestamp` (first appearance), `timestamp_grain`, `chain`

### Component C: Daily aggregation and gap filling
- **Purpose**: Count new tokens introduced each day and ensure complete timeline coverage
- **Logic**: Group tokens by their first appearance date and count distinct tokens per day using `COUNT(DISTINCT token_address)`. Apply zero-filling logic to ensure no gaps in the daily timeline, filling missing dates with zero new asset counts. This creates a complete daily series showing how many new tokens were introduced on each day.
- **Key fields**: `asset_count` (new tokens per day), `timestamp`, `chain`

### Final aggregation
- **Combining components**: The daily new asset counts flow directly from the gap-filled aggregation
- **Currency conversion**: No currency conversion required as this is a count-based metric
- **Time aggregation**: Data is aggregated to daily grain with complete gap-filling to ensure continuous timeline
- **Final calculation**: Calculate cumulative tradeable assets using a window function with `SUM(asset_count) OVER (PARTITION BY chain ORDER BY timestamp)` to create a running total of unique tokens over time. Apply business metadata (business line: Exchange AMM, market sector: exchanges, product: dex) and use the `finalize_metric_tradeable_assets` macro with fill_zeros strategy for standardized output formatting.

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

Number of unique tokens tradeable on the exchange.

Ramses ExchangeRAM

Tradeable assets

Tradeable assets

Competitive landscape

Chain breakdown