Collators aggregate parachain transactions block candidates and producing state transition proofs for validators based on those blocks.

Unique Network is a blockchain specialized for NFTs powered by Polkadot Relay chain.

UNQ holders own and govern the protocol. Unique Network’s investors include Outlier Ventures, Animoca Brands, etc.

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Unique Network

# Unique Network Trading volume Methodology

## 1. Overview

Trading volume measures the total USD value of NFT transactions executed on the Unique Network NFT Marketplace. Daily notional trading volume from all NFT purchases is captured to provide insight into marketplace activity and liquidity. Transaction values across different payment assets (UNQ, Polkadot, Tether, and GAVUN WUD) are aggregated by converting each to USD and summing the total daily volume.

## 2. Data sources

- **Blockchain events**: `TokenIsPurchased` events from `Market` contracts, covering Unique Network
- **External data**: End-of-day price feeds for payment assets

## 3. Step-by-step calculation

### Component A: Raw NFT transaction processing

- **Purpose**: Extract and clean NFT purchase transactions from blockchain events
- **Logic**: `TokenIsPurchased` events from `Market` contracts are parsed to extract transaction metadata, including block timestamp, transaction hash, collection ID, asset ID, item ID, currency ID (payment asset), price, and sales amount. Price and sales amount fields are cast to integers to enable mathematical operations.
- **Key fields**: `collection_id`, `token_id`, `item_id`, `currency_id`, `price`, `sales_amount`

### Component B: Asset mapping and amount calculation

- **Purpose**: Convert raw asset amounts to proper decimal representation using asset-specific configurations
- **Logic**: Transaction data is joined with the asset mapping configuration to retrieve price feed identifiers and decimal places for each payment currency. The actual transaction amount is calculated by multiplying the price by the sales amount, and amounts are normalized by decimal precision to account for asset precision. Raw blockchain integers are converted to normalized asset amounts through this process.
- **Key fields**: `coingecko_id`, `decimals`, `amount`

### Component C: Daily aggregation by asset

- **Purpose**: Group transactions by day and payment asset type to prepare for USD conversion
- **Logic**: Block timestamps are truncated to daily boundaries, and transactions are aggregated by day, chain ID, product ID, and price feed asset identifier. Calculated amounts for each asset type are summed to obtain daily trading volume per currency. The timestamp grain is set to daily, and 'uniquenetwork' is assigned as the chain ID, while 'Unique Network NFT Marketplace' (representing Unique Network NFT Marketplace) is assigned as the product ID for consistent metric labeling.
- **Key fields**: `timestamp`, `timestamp_grain`, `chain_id`, `product_id`, `coingecko_id`, `amount`

### Component D: USD conversion

- **Purpose**: Convert asset amounts to USD using end-of-day price feeds
- **Logic**: Daily trading volumes for each asset are converted to USD using end-of-day price feeds. The daily timestamp is matched with the corresponding end-of-day price for each asset identifier, allowing multiple payment currencies (UNQ, Polkadot, Tether, and GAVUN WUD) to be handled uniformly.
- **Key fields**: USD-denominated `amount` values

### Component E: Final aggregation and zero-filling

- **Purpose**: Combine all asset volumes and ensure continuous daily time series
- **Logic**: USD-converted amounts are summed across all payment assets to calculate the total daily trading volume for Unique Network NFT Marketplace. A zero-filling strategy is applied to ensure complete time series data, where days with no trading activity are populated with zero values.
- **Key fields**: `trading_volume`, `timestamp`, `chain_id`, `product_id`

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

Total value of spot trades executed on the exchange.

Unique NetworkUNQ

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Trading volume

Trading volume

Competitive landscape

Chain breakdown