Hey, over the past couple of days, I’ve been exploring something pretty interesting: @MossAI_Official’s Agent. If you’re someone who frequently studies trading strategies—having lots of ideas in your head that feel clear, but when you try to turn them into code, you hit a wall— writing code, tuning parameters, deploying systems… all the time you wanted to spend researching strategies ends up getting consumed by these tasks. That’s exactly where Moss comes in—it simplifies this entire middle step! You can simply describe your trading logic to the AI, and it’ll help organize it into a strategy for you. Then you can review and adjust entry/exit rules, position sizing, and other parameters yourself. Once you’re satisfied, you can create an Agent and let it run autonomously. I think this is especially user-friendly for people who love researching trading but don’t want to deal with coding. Plus, there’s now an Agent Marketplace. If you build your own Agent, you can tokenize it on-chain. Others who like your strategy can mint corresponding Agent Shares. Conversely, if you’re not ready to create your own strategy yet, you can browse Agents others have built directly on the Marketplace. I really like this “observe first, study, then decide” approach— especially since you can examine the actual strategy logic and execution history, not just a profit screenshot. For now, I’m still mostly testing. After all, no matter how impressive a strategy’s historical performance looks, you still need to make your own risk assessments. If you’re interested in AI Agents + Trading, go check it out: 👉 https://t.co/vqXsUUd3YV I’m planning to test more Agents and will share my findings later on which ones are worth digging into.