The post describes adding transaction-amount filtering and trailing stop loss to #jev, removing close-position judgment in favor of reverse signals, and mentions result utilization and floating.
Implemented the following convergence restrictions for #jev: 1. Filter input symbols by transaction amount 2. Add trailing stop loss Reduce judgment steps 1. Remove close position judgment, use reverse signal as close position standard Utilization of results Add floating
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.