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

SpookySwap is a non-custodial exchange protocol built on Fantom. SpookySwap was launched in April 2021.

BOO tokenholders own and govern the protocol. They currently take a cut of the total interest paid by borrowers (revenue).

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SpookySwap

# SpookySwap Fees Methodology

## 1. Overview

SpookySwap fees represent the total trading fees collected by the SpookySwap V1 decentralized exchange on Fantom. The metric is calculated by multiplying daily trading volumes by SpookySwap's fixed fee tier of 0.2% (0.002). This metric answers the business question: "How much revenue did SpookySwap generate from trading fees?" and uses a volume-based approach where fees = trading volume × fee rate.

## 2. Data sources

- **Blockchain events**: Parsed Fantom `Pair_Swap` events from SpookySwap V1 pair contracts containing token swap details
- **Contract creation events**: `PairFactory_PairCreated` events from SpookySwap V1 factory contract identifying trading pairs and their token addresses
- **Transaction data**: Fantom transaction records providing user addresses and transaction metadata
- **Token metadata**: Token information including decimal places and symbols for proper amount calculation and pair naming
- **External data**: End-of-day token price feeds for USD conversion and price manipulation detection

## 3. Step-by-step calculation

### Component A: Raw trade extraction
- **Purpose**: Extract individual swap transactions from SpookySwap V1 pair contracts
- **Logic**: Parse `Pair_Swap` events from Fantom blockchain, capturing `amountIn` and `amountOut` values for both `token0` and `token1` in each swap. Calculate net token changes by subtracting `amountOut` from `amountIn` for each token, representing the actual token flow direction. Join with Fantom transaction records to obtain user addresses and filter trades starting from April 17, 2021 when SpookySwap launched.
- **Key fields**: `block_timestamp`, `transaction_hash`, `log_index`, `account_address` (pair contract), `contract_user_address`, `user_address`, `token0_amount`, `token1_amount`

### Component B: Trading pair metadata
- **Purpose**: Identify all SpookySwap V1 trading pairs with their token details and fee structure
- **Logic**: Extract trading pairs from `PairFactory_PairCreated` events to get `token0_address` and `token1_address` for each pair contract. Apply a fixed fee tier of 0.002 (0.2%) to all pairs since SpookySwap V1 uses uniform pricing. Join with token metadata to obtain decimal places for proper amount conversion and symbols for pair naming.
- **Key fields**: `account_address` (pair contract), `fee_tier`, `token0_address`, `token1_address`, `token0_decimals`, `token1_decimals`, `account_name`

### Component C: Volume calculation with price manipulation protection
- **Purpose**: Calculate daily trading volumes in USD with safeguards against price manipulation
- **Logic**: Join swap trades with trading pair metadata to get token decimals and addresses. Convert raw token amounts to decimal-adjusted values by dividing by 10 raised to the token's decimal places, then taking absolute values to handle both buy and sell directions. Convert both `token0_amount` and `token1_amount` to USD using end-of-day price feeds. Apply price manipulation protection by taking the lesser USD value between the two tokens using the `least` function, preventing inflated volumes from manipulated token prices. Aggregate volumes daily using timestamp truncation to day boundaries.
- **Key fields**: `timestamp` (daily), `trading_volume` (USD), `fee_tier`, plus dimensional fields for aggregation

### Final aggregation
- **Combining components**: Sum daily trading volumes across all SpookySwap pairs while maintaining dimensional breakdowns by chain, market sector, business segment, and product
- **Currency conversion**: USD conversion occurs during volume calculation using end-of-day token price feeds matched by timestamp, token address, and chain
- **Time aggregation**: Daily boundaries set using timestamp truncation to day level, with all swap events within a day aggregated together
- **Final calculation**: Multiply the USD trading volume by the fixed fee tier of 0.002 using `safe_multiply(trading_volume, fee_tier)` to calculate total fees collected. Apply standardized metric formatting and chain availability filtering for final output.

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

Total value users pay to use a protocol (gross fees, user-paid fees).

SpookySwapBOO

Fees

Fees

Competitive landscape

Chain breakdown