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 Trading volume Methodology

## 1. Overview

Trading volume is defined as the total value of trades executed on Bankr decentralized launch pools. This metric is utilized to assess the overall trading activity and liquidity of the platform, which correlates with the protocol's ability to generate fees. Only user-initiated swaps are included, while internal fee-conversion swaps are excluded to prevent artificial volume inflation. By focusing on the WETH-leg of swaps, the volume of launched assets is accurately captured even when those assets lack direct external pricing.

## 2. Data sources

- **Blockchain events**: `Initialize` and `Swap` events from `PoolManager` contracts on Robinhood Chain
- **External data**: End-of-day price feeds and asset metadata for WETH

## 3. Step-by-step calculation

### Component A: Pool identification

- **Purpose**: To identify active Bankr launch pools and determine the position of the WETH asset.
- **Logic**: `Initialize` events from `PoolManager` contracts are parsed to identify pools where the hook address matches the Bankr hook. Pools are filtered to ensure WETH is contained as either the first asset (position 0) or the second asset (position 1). The WETH position is recorded for each unique pool ID to enable correct volume extraction.
- **Key fields**: `id` (pool identifier), `hooks` (hook contract address), `currency0` (first asset address), `currency1` (second asset address)

### Component B: Swap extraction and filtering

- **Purpose**: To extract user-initiated swap amounts and isolate the WETH-leg of each trade.
- **Logic**: `Swap` events from `PoolManager` contracts are joined with the identified Bankr pools. Swaps executed by the hook module address are excluded to filter out internal fee-conversion transactions. For the remaining user swaps, the raw WETH amount is extracted from either the first amount field or the second amount field based on the pre-determined WETH position of the pool, and the absolute value is calculated.
- **Key fields**: `id` (pool identifier), `sender` (transaction sender), `amount0` (first asset swap amount), `amount1` (second asset swap amount)

### Component C: Normalization and USD conversion

- **Purpose**: To normalize raw asset amounts and convert them to USD.
- **Logic**: The raw WETH swap amounts are aggregated by day. These amounts are normalized by the decimal precision of the WETH asset using asset metadata. The normalized amounts are then multiplied by the end-of-day price of WETH to calculate the final trading volume in USD.
- **Key fields**: `timestamp` (block time), `token_address` (WETH address), `volume_amount` (raw volume)

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

Total value of spot trades executed on the exchange.

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Trading volume

Trading volume

Competitive landscape