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 Average trading volume (per trade) Methodology

## 1. Overview

Average trading volume per trade measures the typical USD value of individual trades on the SpookySwap decentralized exchange. This metric is calculated by dividing total daily trading volume by the number of unique trades, providing insight into trade size patterns and market participation on SpookySwap v1 on the Fantom network. The calculation uses a safe division approach to handle days with zero trades.

## 2. Data sources

The calculation relies on several key data sources from the SpookySwap v1 protocol on Fantom:

- **Swap events**: Parsed `Pair_Swap` events from SpookySwap v1 pair contracts containing trade execution data including token amounts exchanged
- **Pair creation events**: `PairFactory_PairCreated` events that define trading pairs and their token compositions  
- **Transaction data**: Fantom blockchain transaction records to identify user addresses and transaction metadata
- **Token metadata**: Registry of token information including decimal places and symbols for proper amount calculations
- **Price feeds**: End-of-day token price feeds for USD conversion of trading volumes

## 3. Step-by-step calculation

### Component A: Raw trade extraction
- **Purpose**: Extracts individual swap transactions from SpookySwap v1 pair contracts
- **Logic**: Processes `Pair_Swap` events from all SpookySwap v1 pairs on Fantom, calculating the net change in token amounts for each trade by subtracting `amount_out` from `amount_in` for both tokens in the pair. Joins with transaction data to identify the actual user address (transaction sender) versus the contract user address. Filters to include only trades from April 17, 2021 onwards when SpookySwap launched.
- **Key fields**: `transaction_hash`, `log_index`, `block_timestamp`, `account_address` (pair contract), `user_address`, `token0_amount`, `token1_amount`

### Component B: Trading pair metadata
- **Purpose**: Defines the structure and properties of each trading pair
- **Logic**: Extracts all pair creation events from the SpookySwap PairFactory contract to identify valid trading pairs. For each pair, captures the two token addresses and applies a hardcoded fee tier of 0.002 (0.2%) which is standard for SpookySwap v1. Joins with token metadata to retrieve decimal places and symbols for both tokens, creating human-readable pair names in the format "TOKEN0-TOKEN1".
- **Key fields**: `account_address` (pair contract), `token0_address`, `token1_address`, `token0_decimals`, `token1_decimals`, `fee_tier`, `account_name`

### Component C: Volume processing and USD conversion  
- **Purpose**: Converts raw token amounts to standardized USD trading volumes
- **Logic**: Joins trade data with trading pair metadata to access token decimals. Corrects token amounts by dividing by 10 raised to the appropriate decimal places for each token. Takes absolute values of the corrected amounts to ensure positive volume calculations regardless of trade direction. Aggregates amounts by day, transaction, and log index. Converts both token amounts to USD using end-of-day price feeds matched by date, chain, and token address. Applies anti-manipulation filtering by taking the lesser of the two USD values (token0 value vs token1 value) to prevent inflated volumes from price discrepancies.
- **Key fields**: `timestamp` (daily), `trading_volume` (USD), `token0_amount`, `token1_amount`

### Component D: Daily volume aggregation
- **Purpose**: Summarizes total trading volume across all trades per day
- **Logic**: Groups the processed trading volumes by date and sums all individual trade volumes to calculate total daily trading volume for SpookySwap. Maintains business classification metadata including chain, business line ("Exchange AMM"), market sector ("exchanges"), and business segment ("dex").
- **Key fields**: `timestamp`, `trading_volume` (aggregated USD amount)

### Component E: Daily trade counting
- **Purpose**: Counts the number of unique trades executed each day
- **Logic**: Groups trades by date and counts distinct transaction hashes to determine the number of unique trades per day. This approach ensures that each transaction is counted exactly once regardless of how many swap events it contains, providing an accurate count of individual trading actions.
- **Key fields**: `timestamp`, `trade_count`

### Final aggregation
- **Combining components**: The daily trading volume and daily trade count are joined on timestamp to align the metrics by date
- **Currency conversion**: All volumes are already converted to USD using end-of-day price feeds during the volume processing stage
- **Time aggregation**: Data is aggregated to daily boundaries using timestamp truncation to day level
- **Final calculation**: The average trading volume per trade is calculated using safe division of total daily trading volume by daily trade count. The safe division function returns null for days with zero trades, preventing division by zero errors. The result represents the mean USD value of individual trades on each given day.

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

SpookySwapBOO

Average trading volume (per trade)

Average trading volume (per trade)

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