Users instruct the Bankr agent in chat. Bankr executes swaps on existing DEXs and launches new tokens via Whetstone's Doppler launchpad on canonical Uniswap V4. Launched tokens carry a 0.7% swap fee (95% to the token creator, 5% to Doppler). Bankr also operates paid Bankr Club subscriptions ($20/mo).

On Robinhood Chain, Bankr is the dominant token launcher: 10,936 tokens launched in the first two weeks via its Doppler launch hook, each paired against WETH on Uniswap V4.

Bankr (bankr.bot) is an AI trading agent on Farcaster, X, and web that lets users buy, sell, and launch tokens through natural-language chat, executing on-chain via account-abstraction wallets.

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# Bankr Average trading volume (per user) Methodology

## 1. Overview

Average trading volume (per user) is calculated as the total daily trading volume divided by active users (daily) over a 24-hour window. This metric is utilized to evaluate the user profile of Bankr, indicating whether the protocol is primarily used by retail or institutional traders. Insights into user behavior and transaction sizes are provided through this daily average.

## 2. Data sources

- **Blockchain events**: `Initialize` and `Swap` events from `PoolManager` contracts, and transaction signer data, covering Robinhood Chain
- **External data**: End-of-day price feeds and asset metadata

## 3. Step-by-step calculation

### Component A: Active user tracking

- **Purpose**: Identify unique daily traders interacting with Bankr pools
- **Logic**: `Initialize` events from `PoolManager` contracts are filtered to identify pools utilizing the Bankr hook. `Swap` events from `PoolManager` contracts associated with these pools are joined with transaction data to extract the transaction signer address. The daily count of unique transaction signers is aggregated to determine active users (daily).
- **Key fields**: `transaction_hash`, `from_address`

### Component B: Trading volume extraction

- **Purpose**: Calculate the daily raw trading volume generated through Bankr pools
- **Logic**: `Initialize` events from `PoolManager` contracts are parsed to identify pools containing WETH and to determine the position of the WETH asset. `Swap` events from `PoolManager` contracts are filtered to exclude fee-conversion swaps executed by the hook module. The WETH-leg raw amount is extracted from the remaining swaps using the identified WETH position and aggregated daily.
- **Key fields**: `amount0`, `amount1`, `sender`

### Component C: USD conversion

- **Purpose**: Normalize the raw trading volume to USD
- **Logic**: Raw WETH volume amounts are normalized by decimal precision using asset metadata and multiplied by end-of-day price feeds to calculate the daily trading volume in USD.
- **Key fields**: `timestamp`, `token_address`

### Component D: Average volume calculation

- **Purpose**: Calculate the average trading volume per active user
- **Logic**: The total daily trading volume in USD is divided by the active users (daily) for each day to produce the average trading volume (per user).
- **Key fields**: `trading_volume`, `user_dau`

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

Average trading volume (per user)

Trading volume divided by daily active users.

BankrBNKR

Average trading volume (per user)

Average trading volume (per user)

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