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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Exchanges (DEX)

SpookySwap

# SpookySwap Tradeable pairs Methodology

## 1. Overview

The SpookySwap tradeable pairs metric measures the cumulative number of unique trading pairs available on the SpookySwap decentralized exchange on Fantom. This metric tracks the growth of tradeable asset combinations over time by counting distinct pairs created through the platform's PairFactory contract. The calculation identifies when each new trading pair is first created and maintains a running total, providing insight into the exchange's market depth and asset coverage expansion.

## 2. Data sources

The calculation relies on the following raw data sources:

- **SpookySwap PairFactory events**: Parsed `PairCreated` events emitted by SpookySwap v1's PairFactory contract on the Fantom blockchain, containing pair contract addresses and constituent token addresses
- **Fantom blockchain data**: Block timestamps from Fantom network transactions to establish when each pair was created
- **Token metadata**: Token symbol and decimal information for all ERC20 tokens to enable human-readable pair identification
- **External configuration**: Hardcoded fee tier information (0.2% for SpookySwap v1 pairs)

## 3. Step-by-step calculation

### Component A: Trading pair extraction and enrichment
- **Purpose**: Extract all trading pair creation events and enrich with token metadata
- **Logic**: The calculation begins by extracting all `PairCreated` events from SpookySwap v1's PairFactory contract on Fantom. Each event captures the block timestamp, newly created pair contract address, and the addresses of the two constituent tokens (`token0` and `token1`). The system assigns a hardcoded fee tier of 0.2% to all pairs and categorizes them as version "v1". Token metadata is then joined to provide symbol and decimal information for both tokens in each pair, enabling the creation of human-readable pair names in the format "TOKEN0-TOKEN1"
- **Key fields**: `block_timestamp` for timing, `pair` address for unique identification, `token0` and `token1` addresses for constituent tokens, enriched with `symbol` and `decimals` for each token

### Component B: Daily pair aggregation and gap filling
- **Purpose**: Process pair creation events into daily counts and handle missing data
- **Logic**: The system identifies the first appearance date for each unique pair by finding the minimum block timestamp truncated to day level for each pair address. This ensures each pair is only counted once, on the day it was first created. The pairs are then grouped by date and chain to count distinct new pairs created each day. Any missing days in the time series are filled with zero pair counts to ensure continuity in the cumulative calculation
- **Key fields**: `timestamp` truncated to day granularity, `account_address` for unique pair identification, `pair_count` representing new pairs created each day

### Component C: Cumulative aggregation
- **Purpose**: Calculate the running total of tradeable pairs available over time
- **Logic**: The daily new pair counts are converted into a cumulative total using a windowed sum function. The calculation partitions by chain and orders by date to maintain separate running totals for each blockchain while preserving chronological order. This produces the total number of unique tradeable pairs available on each day since the protocol's inception
- **Key fields**: `tradeable_pairs` as the cumulative sum of all pairs created up to each date

### Final aggregation
- **Combining components**: The cumulative pair counts are formatted into the standard metric schema with appropriate business classifications
- **Currency conversion**: No currency conversion is required as this is a count-based metric
- **Time aggregation**: Data is aggregated at daily granularity with timestamp boundaries set at day level
- **Final calculation**: The final metric value represents the cumulative count of unique trading pairs available on SpookySwap, classified under the "exchanges" market sector, "dex" business segment, and "dex" product category. Standard metric validation and gap-filling macros ensure data quality and completeness before output.

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

Number of unique token pairs available for trading on the exchange.

SpookySwapBOO

Tradeable pairs

Tradeable pairs

Competitive landscape

Chain breakdown