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I Gave 3 AI Trading Bots $1,000 and Let Jev Make Every Decision
Last year, one of my AI trading agents made $2,500 in a single day.
That experiment taught me something important: speed matters more than clever prompts when markets move fast.
My old setup was slow, with one decision every couple of minutes from a regular language model. By the time the order hit the exchange, the opportunity was often gone.
This time I wanted something different.
I built three separate AI trading bots, split $1,000 between them, and put them on a server that never sleeps. Every trading decision is made by Jev, a decision engine that can handle hundreds of choices per minute for a fraction of a cent each.
One of these bots will die at the end of the experiment. The other two get to keep trading.
Meet the bees: Bizzy, Breezy, and Boozy.
Why Jev Changes the Game
A normal language model writes answers token by token. Even when you force structured JSON, it still has to generate every field name, every brace, and every value. That takes time and opens the door to format errors or invented categories.
Jev works the opposite way. You give it the current state (price data, positions, momentum signals, news…
