silw
12 posts

silw retweetledi

There’s a difference between a good model and a deployable one.
Kernel is built around that gap.
X:@kerneldefi
TG: t.me/+VqKR1P4k9Jw3M…
Ca: 4FmCt1YxmJwYDGgYEX9Ap2RemmjmrKESwVN7syFWpump

English
silw retweetledi

@sam6170 when you provide liquidity on AMMs, you essentially trade against the market and you end up with less of the tokens that are worth more.
we're building a software that gives us an edge in finding pools where lping is actually profitable.
English
silw retweetledi

Stable pairs, volatile pairs, complex strategies
Kernel doesn’t assume profitability. It measures it.
That mindset alone filters out a lot of bad trades.
X:@kerneldefi
TG: t.me/kerneldefi
Ca: 4FmCt1YxmJwYDGgYEX9Ap2RemmjmrKESwVN7syFWpump

English
silw retweetledi

"impermanent loss" is a terrible name
it's not impermanent
it's very real
you lose money vs holding
better name: "rebalancing loss"
you're constantly selling your winner and buying your loser to maintain 50/50 ratio
in a bull market you sell ETH all the way up
in a bear market you buy ETH all the way down
fees need to overcome this or you lose money
most retail doesn't model this. they just see "APY: 40%" and ape.
English
silw retweetledi

Early-stage projects talk about narratives.
Kernel talks about pipelines — research → backtest → deploy → monitor.
That’s how serious systems are built.
X:@kerneldefi
TG: t.me/kerneldefi
Ca: 4FmCt1YxmJwYDGgYEX9Ap2RemmjmrKESwVN7syFWpump

English
