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Rhino.fi

# Rhino.fi Bridge deposits Methodology

## 1. Overview

The RhinoFi bridge deposits metric measures the total USD value of tokens held in RhinoFi's bridge deposit addresses on Ethereum. This metric represents the aggregate value of user deposits that are locked in the bridge infrastructure, providing insights into the total value secured by RhinoFi's bridging mechanism. The calculation tracks daily token balances across all tokens held in the designated bridge address and converts them to USD using end-of-day pricing.

## 2. Data sources

The calculation relies on several raw data sources:
- **Ethereum transaction logs**: Raw transaction data and event logs from the Ethereum blockchain to track token movements
- **Token transfer events**: Parsed ERC20 `Transfer` events from Ethereum showing token flows into and out of bridge addresses  
- **Ethereum transaction traces**: Internal transaction traces that capture contract interactions and token transfers
- **End-of-day token price feeds**: Daily closing prices for tokens to enable USD conversion
- **Token metadata**: Contract information including token decimals, symbols, and contract addresses
- **Chain availability data**: Information about data completeness and availability periods for filtering

## 3. Step-by-step calculation

### Component A: Portfolio balance tracking
- **Purpose**: Calculate daily token balances for the RhinoFi bridge deposit address
- **Logic**: The system tracks all token holdings for the Ethereum address `0x5d22045daceab03b158031ecb7d9d06fad24609b`, which represents RhinoFi's primary bridge deposit contract. Daily balance snapshots are calculated by processing all token transfer events, transaction traces, and balance changes for this address. Each token balance is normalized using the token's decimal places and converted to USD using end-of-day price feeds. The balance calculation accounts for all ERC20 tokens held by the address, aggregating them into a comprehensive portfolio view.
- **Key fields**: The process generates `timestamp` for daily aggregation, `chain` identifier (Ethereum), `balance` amounts for each token position, and USD-converted values

### Component B: Business categorization  
- **Purpose**: Add standardized business metadata for reporting and classification
- **Logic**: Each balance record is enhanced with business categorization fields that classify RhinoFi within Token Terminal's taxonomy. The metric is categorized under the "blockchains_l2" market sector since RhinoFi operates as a layer 2 scaling solution, with "blockchain" as the business segment. The chain identifier is set to Ethereum since the bridge deposits are held on Ethereum mainnet. No specific product identifier is assigned since this represents the overall bridge deposit functionality.
- **Key fields**: Standard categorization includes `chain_id`, `market_sector_id`, `business_segment_id`, and `product_id` fields for consistent reporting structure

### Final aggregation
- **Combining components**: The daily token balances from the portfolio calculation are summed across all tokens to produce a single aggregate `bridge_deposits` value representing the total USD value held in the bridge address
- **Currency conversion**: All token amounts are converted to USD using end-of-day price feeds, with proper decimal adjustment based on each token's contract specifications
- **Time aggregation**: Data is aggregated on daily boundaries using the `timestamp` field, with each day representing the end-of-day snapshot of total bridge deposits
- **Final calculation**: The metric applies a fill-forward strategy to handle any missing data points, ensuring continuity in the time series. A chain availability filter is applied to exclude periods where Ethereum data may be incomplete, ensuring data quality and reliability in the final bridge deposits metric

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

Value of assets held in a project's bridge contracts.

Rhino.fiDVF

Bridge deposits

Bridge deposits

Competitive landscape

Chain breakdown