Guides
COMMENT "FUND"

Build a free $0 AI hedge-fund desk

A team of AI roles that argue over a trade before any decision, 4 analysts, a bull, a bear, and a manager, built from free open-source repos. A real quant costs a fund ~$200k a year; this costs $0. It's a research tool, not a money printer. Most people lose money trading, so this is not financial advice.

01Quick steps

  1. 1Pick ONE free repo to start (TradingAgents is easiest).
  2. 2Run it on a stock you know.
  3. 3Read the analysts' votes and reasons before acting.
  4. 4Treat it as research, not a signal to blindly follow.

02Your ready to use prompt

Your ready to use prompt
Set up the open-source TradingAgents project and run it on one ticker I know. Have the 4 analysts (technical, sentiment, news, fundamentals) each give a vote and a reason, then a bull and a bear argue, then a manager make one call. Explain each analyst's reasoning to me in plain English, and remind me this is research, not a trade signal.

03Full tutorial

Instead of one AI guessing, a whole team debates: analysts dig into the data, a bull and a bear argue both sides, and a manager makes the call. That's how real funds reduce dumb mistakes, and it's all free.

Don't install all six. Begin with TradingAgents (github.com/TauricResearch/TradingAgents), the most beginner-friendly.

Follow the repo's setup guide (it runs on Python). The README walks you through it.

Point it at a ticker you understand, for example a big name like NVDA, so you can sanity-check what it says.

Each analyst (technical, sentiment, news, fundamentals) votes with a reason. The real value is reading WHY, not just the final yes or no.

A bull and a bear argue the trade. Seeing both sides laid out is worth more than any single hot take.

Let the manager's call inform your thinking, never replace it. It's a research assistant, not a money printer.

Once comfortable, look at ai-hedge-fund, qlib and FinRL for more ways to test ideas, all free.

The value is the debate and the reasoning, not blind trust in the final call. Most people lose money trading. Not financial advice.