Why this exists.
Trading Agents Lab provides a high-quality, professional-grade tool purely for educational purposes. We do not force user adoption and we do not provide trading tools. We provide a free resource for analysis and learning.
It is built and maintained by RBJ Global, an independent software studio building practical AI tools. The codebase is a fork of Tauric Research's TradingAgents with substantial extensions for desktop use, cost discipline, paper-trading-only data adapters, and outbound webhooks.
Positioning, analysis, not execution.
This is the most important sentence on this page:
Trading Agents Lab is an analysis tool, not an execution platform.
The product empowers users with multi-agent LLM analysis to make their own trading decisions. It does not execute trades on a user's behalf, not via paper-trading suites that look like real trading apps, not via a hidden feature flag, not via a future patch.
- No live-trading execution code, ever. Not in the engine, not in the UI, not in distribution builds.
- No full trading suite. No stop-loss management, no sell-order workflow, no order routing.
- Defence in depth via endpoint hard-coding. Where the app connects to Alpaca, it connects only to paper-trading and data endpoints. Live keys for the live endpoint simply have nowhere to go in our code.
- External brokerage via webhooks, on your terms. When a debate finishes, the result can be pushed to your own endpoint, which you wire to your own broker on your own authorised account.
This is a regulatory firewall, not a temporary scope cut. When execution code does not exist in our repository, there is structurally nothing to regulate as a trading platform.
A teaching artifact for Clawdemy.
Trading Agents Lab doubles as a practical case study for Clawdemy.org, a free, open AI-education platform. Students can read the source to learn how to design real multi-agent LLM systems that ship.
That case study is now a full course. Clawdemy's Track 25, Anatomy of an AI Agent Team, is dedicated to the TradingAgents framework this app is built on. Eight lessons walk the system role by role: why one AI becomes many, how an analyst fetches its own data, the bull and the bear, the trader, the risk gate, orchestration, and memory. The capstone puts you inside a real run in Trading Agents Lab itself. If you want to understand what happens under the hood before or after you download, start there.
We optimise for readable code over clever code. Decisions that surprise a reader carry a comment explaining the why, not just the what. The whole system is meant to be understood, forked, and improved on.
If you're a student, researcher, or educator using this as a teaching reference, we'd love to hear from you. File an issue on GitHub and tell us what you're building.
Business model: free, no monetisation.
Free. Open source. AGPL-3.0. No subscription, no paywall, no premium tier, no enterprise upsell.
We collect no personal data because we don't have a business that requires it. The marketing site uses one cookieless visit counter and nothing else; the desktop app has no telemetry, no error-reporting services, no install pings, no accounts, and no email collection. Read the security posture →
If monetisation is ever considered in the future, the change in business model is itself the regulatory inflection point and we will engage securities counsel before shipping anything.
Family.
Trading Agents Lab is part of a small portfolio of independent, single-purpose, privacy-first software built by RBJ Global.
RBJ Global
An independent software studio building practical AI tools that respect your time, your money, and your privacy.
Trading Agents Lab
you are hereAI-driven Diligence on any ticker.
Multi-agent LLM research lab. Free, open-source, AGPL-3.0.
Clawless
An operating system for AI.
The host platform that Trading Agents Lab optionally connects to as the standalone trading companion.
WhisprDesk
Privacy-first Mac dictation.
No cloud, no transcripts leaving the device.
Clawdemy
Free AI literacy for the worried generalist.
AI education built for people who fear being left behind, not the curious developer.