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Exchanges (DEX)

Axiom Trade

# Axiom Trade Trading volume Methodology

## 1. Overview

Trading volume measures the total value of trades executed on Axiom Trade. A strong correlation is typically observed between this metric and the decentralized exchange's ability to generate fees and revenue. Overall market activity and liquidity on the platform are assessed through this metric. All volume is denominated in USD and aggregated daily.

## 2. Data sources

- **Blockchain events**: Account activity and decentralized exchange trade instructions on Solana, and decentralized exchange trades on BSC and Robinhood Chain
- **External data**: End-of-day price feeds and asset metadata

## 3. Step-by-step calculation

### Component A: Fee transaction identification

- **Purpose**: Identify transactions associated with Axiom Trade by tracking fee payments
- **Logic**: Solana account activity is filtered to identify transactions where positive net transfers are received by specific Axiom Trade fee accounts, meaning the balance after the transaction is greater than the balance before the transaction. A list of unique transaction IDs representing trades executed through the platform is generated from this filtering process
- **Key fields**: `transaction_id`, `account_key`, `pre_balance`, `post_balance`

### Component B: Solana trade extraction and normalization

- **Purpose**: Extract and normalize trade details for identified Solana transactions
- **Logic**: Decentralized exchange trade instructions matching the identified fee transaction IDs are extracted. Transactions signed by the fee accounts themselves are excluded from the dataset. Trades are filtered to ensure that either the base or quote asset is the native SOL mint account. Base and quote asset amounts are then normalized by their decimal precision using asset metadata
- **Key fields**: `base_amount`, `quote_amount`, `base_mint_account`, `quote_mint_account`, `transaction_signer`

### Component C: EVM trade extraction

- **Purpose**: Extract trade details for transactions executed on EVM chains
- **Logic**: Decentralized exchange trades on BSC and Robinhood Chain are filtered to identify transactions sent to specific Axiom Trade contracts. For transactions containing multiple swaps, only the swap with the largest USD value is retained. Token bought and sold amounts are extracted as trade amounts
- **Key fields**: `block_timestamp`, `chain`, `transaction_to_address`, `token_bought_address`, `token_sold_address`, `token_bought_amount`, `token_sold_amount`

### Component D: USD valuation and wash trading mitigation

- **Purpose**: Convert trade amounts to USD and apply filters to mitigate wash trading
- **Logic**: Normalized trade amounts are joined with end-of-day asset price feeds. If USD prices are available for both assets, the lower of the two calculated USD values is selected as the trading volume to mitigate wash trading. If only one asset price is available, the USD value is calculated using that single available price
- **Key fields**: `price_usd`, `amount_0`, `amount_1`

### Component E: Aggregation and finalization

- **Purpose**: Aggregate trading volume and apply final data filters
- **Logic**: The calculated USD trading volumes are aggregated by day. The final dataset is processed to ensure schema consistency, zero-filling is applied for days with no activity, and filtering is performed based on chain availability
- **Key fields**: `trading_volume`, `timestamp`

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

Total value of spot trades executed on the exchange.

Axiom Trade

Trading volume

Trading volume

Competitive landscape

Chain breakdown