I Built an AI Hedge Fund with 6 Agents in 650 Lines of Python

Most AI agent tutorials build chatbots. I wanted to build something that makes decisions under uncertainty - like a hedge fund investment committee. So I did. Six specialized agents. ~650 lines of Python. No frameworks. What I Built A multi-agent trading system where AI agents work together as an investment team. Each agent has one job: Research Agent - scrapes news, analyzes sentiment Quant Agent - computes RSI, MACD, Bollinger Bands Fundamentals Agent - evaluates P/E, cash flow, competitive moat Strategy Agent - combines all signals into a buy/sell/hold decision Risk Agent - enforces position sizing and stop losses Debate Agent - Bull vs Bear argue before any trade happens The pipeline runs sequentially. Each agent passes structured data to the next. At the end, the Execution Agent paper trades based on the committee's verdict. Why No Frameworks? I started with LangChain. Deleted it after a day. The abstractions didn't match what I needed. My agents don't need memory, retrieval, or c