crazy how many analysts skip step 1 of analytics 101: knowing how the datasets they use are made and their potential flaws you should question your data sources a lot more

if you missed my talk on CEX onchain data @ ethcc, here is a great written recap

what are all the existing blockchain bridges you can think of? aiming to have all of them in my dune interop datasets

1/ here's a new @dune table where you can find the first receive token transfer of any address across 19 evm chains useful for: - checking when/where addresses first appeared - optimising queries by only checking for events after first receive - sleuthing

ETH ETF flows going parabolic for perspective, if the past 2 weeks' trend continues, it would take ~1 year for ETFs to absorb 10% more of ETH's supply (they currently hold 3.7%) src:

the cex sector i built on @dune now has 21 evm chains with those just added: @unichain, @berachain, @inkonchain, @katana, @arbitrum nova and @OpBNB_ cex.addresses also includes 16 non-evm chains

40% of eth validators are now signaling for a higher gas limit src:

$730m flowed into ETH ETFs last week, an ath this year src:

ETFs now hold 6% of bitcoins with 3% absorbed since launch/conversion src: