AlphaQ trades only its own assets. The operator posts its inventory into on-chain market vaults and prices each quote from external oracles with a dynamic fee that falls in calm markets and is discounted for trades that improve market balance. Its income is the spread embedded in its quotes; the swap instruction carries no separate fee field, and there is no governance token.

AlphaQ is a proprietary automated market maker (prop AMM) on Solana, live since July 2025. It describes itself as a hybrid AMM that combines AMM composability with order-book-level efficiency through oracle-based pricing and dynamic fees. It is in private beta and is accessible only through DEX aggregators, which route swaps to its markets when its quote is best.

AlphaQ is operated by a proprietary trading firm that has not disclosed its team; the project publishes a website and documentation but no social accounts.

website

Exchanges (DEX)

AlphaQ

# AlphaQ Trade count Methodology

## 1. Overview

Trade count is defined as the number of trades executed on AlphaQ. The frequency with which users buy or sell assets through the project is represented by this metric. Each individual fill executed by the AlphaQ program is counted as a trade. Multi-hop aggregator routes that touch multiple AlphaQ markets are counted as multiple distinct trades.

## 2. Data sources

- **Blockchain events**: Trade instructions executed by the AlphaQ program, covering Solana

## 3. Step-by-step calculation

### Component A: AlphaQ trade extraction

- **Purpose**: Identify and extract individual trade fills executed by the AlphaQ program
- **Logic**: Trade records are filtered from Solana decentralized exchange data where the executing account matches the AlphaQ program ID. For each trade, details such as the transaction ID, signer, pool account, and asset mint accounts are extracted.
- **Key fields**: `transaction_id`, `signer`, `pool_account`

### Component B: AlphaQ decimal normalization

- **Purpose**: Normalize trade asset amounts by their respective decimal precision
- **Logic**: Asset mint accounts are matched against asset metadata to retrieve decimal values. Raw asset amounts are normalized by dividing by their respective decimal precision.
- **Key fields**: `amount`, `decimals`

### Component C: AlphaQ trade aggregation

- **Purpose**: Aggregate the total number of trades and format the final metric
- **Logic**: Trade records are aggregated by day, chain, and product ID by counting the total number of trade fills. A multi-hop route touching multiple AlphaQ markets is counted as multiple trades. Missing days are populated with zero values to ensure a continuous daily time series.
- **Key fields**: `trade_count`, `block_timestamp`

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

Number of trades executed on a decentralized exchange.

AlphaQ

Trade count

Trade count

Competitive landscape