Aurex

I PUT GROK BOT TO WORK ON AN AUTOMATED TRADING TERMINAL WITH A STARTING BALANCE OF $44.82. INSTEAD OF JUST ASKING AI FOR TRADING IDEAS, I BUILT A SYSTEM THAT COULD ACT ON THEM. BY MORNING, THE DASHBOARD REPORTED $11,643.21, WITH SIX AGENTS TRACKING EVERY TRADE. For a long time, I explored what AI agents could do in trading. Most of the time, I was simply asking questions and watching their responses. Last weekend, I took a different approach. Using Grok Bot, I created a trading system designed to handle the process automatically, without manually writing the code. All six agents work together on one terminal, but each has a different responsibility: «Scanner — Detects new token pairs and unusual volume movements. Rug Checker — Checks tokens for potential risks before a trade begins. Position Sizer — Determines position sizes based on account equity. Executor — Handles trade entries and exits while monitoring slippage. Trade Logger — Documents each trade and the reasoning behind it. Equity Tracker — Updates account performance after every completed trade.» I left the dashboard running overnight with the initial $44.82. When I checked it the next morning, the displayed balance was $11,643.21. The activity feed also showed recorded trades, with explanations and corresponding log entries. What makes this approach interesting is the change in how AI is used. Instead of repeatedly asking, "Would you take this trade?" the focus shifts to reviewing executed actions, understanding decisions, and tracking performance. Starting Balance: $44.82 Reported Balance: $11,643.21 Grok Bot was used to create the trading terminal, connect the agent architecture, and build the dashboard. The process started with a description of the desired system rather than manually writing code. The complete build and setup details are explained in the article below ↓ Want the complete setup? 1. Comment "Grok_Bot" 2. Like and repost. 3. Follow @Tech_XRavixAI. I'll share the setup details through DM.