I've been exploring @MojoAI_HQ , and I decided to put its Trade Agent to the test with a SOL perpetual round trip on Hyperliquid. My goal was to build approximately $100 in trading volume while understanding how the agent handles the process from start to finish. I gave it a simple instruction: help me build $100 in trading volume on Hyperliquid. What followed was quite interesting. The agent put together an execution plan that involved swapping $11 worth of BNB Chain USDC to Arbitrum USDC, bridging the funds into my Hyperliquid account, waiting for the deposit to settle, opening a 0.5 SOL long position at 10x leverage, and then closing the position. One thing I particularly liked was being able to see the execution plan before approving it. I could review how the funds would move, the position size, the expected trading volume and the estimated fees. There was also an adjustment along the way. My initial 3% stop-loss was rejected by the validator. Rather than introduce another execution branch for a position scheduled to close shortly after opening, I removed it. After approval, the agent handled the workflow, and the task was marked completed. The activity history shows the SOL position opening at approximately $100.50 in notional value and closing at approximately $100.56. The agent then returned 10.897648 USDC to my balance. What I find interesting about this is how the different stages of a trading workflow can be organised and executed through an AI agent. I'm still exploring Mojo, but this experiment gave me a better understanding of how its Trade Agent works beyond just reading about its features. I also think it's important to understand what you're approving when using automated trading tools. Always review the execution plan, fees and risks before allowing an agent to execute a trade. If you'd like to explore Mojo yourself, you can get started through my invite link below ( cs ) Have you tried using an AI agent to handle a trading workflow? #Mojo @MojoAI_HQ