I Built an AI That Trades Crypto and Options Automatically — Here Are the Real P&L Numbers

Most AI trading content is vaporware. Here's what actually happened when I gave an AI $215 and full autonomy to trade and operate a real system. I did not give it a sandbox account and fake screenshots. I gave it real keys, real constraints, and told it to optimize for one thing: net profit after fees. This was not a "write a strategy on paper" experiment. It was live execution with money at risk. The raw numbers: Deposited: $215.00 Fees paid: -$7.94 Active positions: ETH, SOL, LINK, BTC Trade count so far: high enough to feel every bad fill What the agent built in one sprint was more useful than most Discord signal stacks: ORB (Opening Range Breakout) options strategy with a backtested +59% return profile. Fear & Greed DCA module that only scales buys when Fear & Greed is below 15 (historical 30-day win rate around 80%). A multi-factor signal engine that scores setups before capital is deployed. Here is the core scoring formula it uses to rank each setup: score = ( 0.30 * trend_streng