jxbyte

I'm trying to remove liquidity on sushi and do swaps on uniswap, but sometimes the slippage needs to be quite a lot higher, (I think in the case of low liquidity?). Without simply trial and error of throwing out txns and increasing the slippage tolerance on reverts, is there a good way to run simulations to calculate the appropriate slippage? The relevant functions are removeLiquidity and swapExactTokensForTokens .

https://app.mistx.io/#/exchange

All is going according to plan, because there is no plan.

This is aimed at people actively developing smart contracts with significant user-bases: What courses at uni are especially helpful?

This is aimed at people actively developing smart contracts: What courses at uni are especially helpful?

NXM at #113 in market cap, the rest of the top 10 are spread between #300-#1000 https://www.coingecko.com/en/categories/insurance. Smart contract security is an absolute shit show, what's the hold-up?