The author used TypeSafe's Jev model to read 90,856 posts (141M tokens), graded 8,000 calls against real prices, and tested 659 accounts for skill vs luck. The conclusion: no single stock caller clearly beat luck.
I tried to find the best stock callers on X using AI. I read 90,856 posts (141M tokens), graded 8,000 calls against real prices, and tested 659 accounts for skill vs luck. I couldn't find a single one that clearly beat luck. How it works: An AI model (Jev by @typesafeai) read
James Long uses Jev to tackle the most annoying problem in personal finance tools: generating good payee descriptions from raw bank data. It got about 95% of the way there on the first try, with many ways to improve the prompting.
A developer uses Jev to decide buy or sell and executes real trades on Kuru's on-chain order book via Monad every 300ms block. Link
Erik Spock Gafni suggests that those who make a lot of profit from Jev trading donate some of their profits to charity.