Most AI tools today?

🧠 “Summarize this.”

💬 “Answer that.”

But someone quietly built an agent system that doesn’t just assist —

it thinks, argues, plans, and acts.

It’s called TradingAgents by Tauric Research.

And here’s what’s crazy:

It breaks trading down into roles, like a real hedge fund.

→ Market Analyst Agent scans prices, news, macro trends

→ Research Agent reads whitepapers, Twitter threads, reports

→ Sentiment Agent gauges social mood from Reddit/X

→ Bull vs Bear Agents argue for and against moves

→ Trader Agent listens, makes the call

→ Risk Manager Agent sets guardrails

→ Then it all gets executed in real time.

Not a fancy prompt chain.

Not another wrapper.

This is modular AI — with memory, roles, and goals.

And yeah, it runs with real trades.

Real stakes.

No human in the loop.

Why it matters?

This isn’t just about finance.

This is a glimpse at AI teams in action.

Now imagine this for:

✅ Support → triage agent, draft agent, review agent

✅ Marketing → ideation agent, content agent, performance agent

✅ Product ops → blocker agent, action agent, deploy agent

No bloated dashboards.

No busywork.

Just outcomes.

I have some background in Python and AI engineering, some slight background in finance (UC berkeley executive education classes). AI engineering is more of my gig right now. I'm currently rag training and paper trading an open source system. "chunks" are the books and data i have used to train the system. I'm still building, I've only been on paper trade for 4 days, fixed a few bugs in the research phase last week.

For those of you building AI agent trading systems from scratch. What has worked? what has not worked? Just curious if i'm putting too much time, and energy into the wrong direction. If you're curious about the models i'm using, please ask; however they were chosen to run on my hardware, and i might try a few others as time goes on. Does anyone have better luck with C++, and Rust?

Edit: I made a new post with an updated high level overview.