Data

There was some recent minor "drama" on CT about @uniswap vs. @aerodrome volume which sparked our curiosity. So we used sim to investigate and here's what we found:

Focusing on aggregator trades (used by retail, not arbitrageurs) on Base over the last 7 days:
- Aerodrome has the largest aggregator trade volume
- Uniswap V3 has more than twice as many aggregator trades

Trade size breakdown:
- Small trades (<$10k): Uniswap and PancakeSwap dominate
- Larger trades ($50k+): Mostly routed to Aerodrome's deeper liquidity pools

Top aggregators on Base by volume:
- ODOS
- 1inch
- KyberNetwork

On Ethereum, Uniswap remains the clear leader in aggregator trade volumes

There isn't any earthshattering insights here, if anything this data shows the importance of considering multiple metrics when comparing DEX performance.

You can the full thread here:

The central trading and liquidity marketplace on BASE

https://aerodrome.finance

The largest onchain marketplace. Buy and sell crypto on Ethereum and 10+ other chains.

There was some recent minor "drama" on CT about @uniswap vs. @aerodrome volume which sparked our curiosity. So we used sim to investigate and here's what we found:

Focusing on aggregator trades (used by retail, not arbitrageurs) on Base over the last 7 days:
- Aerodrome has the largest aggregator trade volume
- Uniswap V3 has more than twice as many aggregator trades

Trade size breakdown:
- Small trades (<$10k): Uniswap and PancakeSwap dominate
- Larger trades ($50k+): Mostly routed to Aerodrome's deeper liquidity pools

Top aggregators on Base by volume:
- ODOS
- 1inch
- KyberNetwork

On Ethereum, Uniswap remains the clear leader in aggregator trade volumes

There isn't any earthshattering insights here, if anything this data shows the importance of considering multiple metrics when comparing DEX performance.

You can the full thread here: https://x.com/smlxldotio/status/1841160530683445672

Your new onchain assistant | Gina Knows Best | askgina.ai

sim.io | explorer.sim.io | smlxl.io | evm.codes | Trying to solve more problems than I create

@askgina.eth contrast the info on previous cast with your data and extend it with more relevant data about the CT "drama" on aerodrome vs uniswap volume?