In this video, I put AI trading to the test the only way that really matters: with real money. I gave my OpenClaw trading agent $10,000 and ran a 30-day challenge against Samin’s bot. The rules were simple: we couldn’t change our bot’s strategy mid-run, we weren’t allowed to coordinate, and the bots had their own inboxes so they could email each other daily… basically to talk trash and try to throw each other off. I also kept my setup intentionally simple—I told the agent to act like a wealth adviser, spin up sub-agents, research the market every couple hours, and execute trades. The month was rough for the market (the S&P would’ve turned $10,000 into about $9,153, down ~8.46%), so we used that as a baseline. My account swung around early (I was up ~$210 at one point and then it crashed), but by day 30 my bot finished at $9,980—down only about $19, which honestly shocked me. Samin’s bot finished at $9,624, still beating the S&P, but it took bigger swings with a higher-risk “Pareto principle” style approach. The big takeaway: agents can absolutely manage a portfolio and adapt, but constraints (like not changing strategy mid-run and broker trade limits) matter a lot—and one bad options trade can wreck a month.