$3,184 IN, $9,742 OUT ON BTC. THE PRICE DROPPED, BUT THIS BOT WENT LONG FOUR TIMES IN A ROW AS THE MARKET STARTED TO RECOVER. THE FOURTH TRADE WAS THE BIGGEST. WATCH IT CLOSE. This is Grokbot + Jev in action. Six Grok agents. One spider crawler. BTC futures trading while you sleep. The idea is simple: scan the market, find signals, check the opportunity, and let the bot make its move. Here’s how it works: Scan watches the market and spots a possible change in direction. “Sellers exhausted at the lows.” That signal goes to Vet, which checks with Jev before the bot opens a long position. The price starts moving up. The bot closes the trade, looks for another opportunity, and repeats the process. Then the crawler spots another signal: “Momentum flipping up on 1m.” Instead of trying to guess exactly where the bottom is, the system looks for signs that sellers are losing strength and buyers may be taking control. Now look at the trade results: +$406 on the first close. +$924 on the next. +$1,302 on the third. And then comes the fourth trade, the biggest one on the tape. Each trade captures another opportunity as the market moves back up. My favourite part is how the system approaches the market. It doesn’t need to predict the exact bottom or know what will happen next with certainty. It watches the price, looks for signals, checks the setup, and reacts when the conditions appear right. That’s what makes this setup interesting: different agents have different roles. One scans for signals, another checks the opportunity, and the system uses those inputs to decide when to enter or exit. The final fill is especially impressive. A long position of 1.6623 BTC was opened in just 179 milliseconds. That’s a very fast execution, especially when the system is responding to short-term market movements. Jev is TypeSafe’s System One model, from the company led by GPT-4 co-author Diogo Almeida. Of course, one trading clip doesn’t prove that a bot will keep making profits. Market conditions can change, and BTC futures trading carries significant risk. But watching multiple agents work together to identify signals and execute trades is worth paying attention to. AI trading is becoming more interesting as models move beyond simply analyzing charts and start working together in real-time systems. Six agents. One crawler. Four consecutive long trades. One market bounce. Bookmark this and watch the fourth trade close. ↓ 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @EaStEnRaY1 I'll DM you the complete setup.