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I found a pretty interesting GitHub project called Trading Agents.
It's not about having an AI recommend stocks for you, but rather simulating a 12-person research and trading team: with analysts responsible for data collection, debate groups that argue bullish or bearish, a risk management committee, and finally a portfolio manager making the final decision.
The video breaks down the entire architecture in detail and highlights a key issue: if the underlying "intern" agent collects incorrect data, no amount of debate afterward will help.
This approach of multiple agents arguing and verifying each other is indeed more reliable than a single AI guessing blindly.
For those interested in agent architecture or quantitative trading, you might want to check it out.
The project link is in the comment section. 👇