There is one thing a lot of people in crypto don’t know about me: before joining the space I was obsessed with Bayesian analysis.
One concept in particular stuck with me: dependency on the prior.
This trained me to always ask “what happens if”.
Since then I’ve tried to measure how much my conclusions depend on prior assumptions, and to update those priors when due.
Prior updating is a very underrated concept.
I find it the only way to actually understand a topic instead of just confirming what I already believed.
Anyone should practice prior updating.
That’s what I did after reading this. I updated my prior and checked for what I wasn’t looking at (because I'm dumb and I wasn't thinking hard).
Yes: ~14% of the transactions from this informed searcher (the one using knowledge of future orderflow) buy after the trigger and close without any user transactions in between.
14%.
2/ in 86% of rounds, real users buy the same token between the bot’s buy and its sell. with no users in the window it loses ~35 mSOL. the more SOL users put in, the more it makes, up to +0.43 SOL a round. the losses don’t make it harmless, the users are the profit