In Development
TradingAgents
Orchestrating automated reasoning workflows for enterprise decision systems.
Multi-Agent Reasoning Framework
Overview
A multi-agent financial analysis framework that coordinates specialist AI roles to pressure-test strategies before execution.
Why we built it
TradingAgents was built to prove our capability in LangGraph orchestration and advanced multi-agent LLM architecture. The system mirrors institutional trading roles and drives structured debate loops to improve reliability in high-stakes reasoning workflows.
Technology stack
- LangGraph
- Multi-agent routing layer
- Provider abstraction
- Python orchestration services
- LLM observability tooling
Core capabilities
- Role-based orchestration for fundamental, technical, sentiment, and risk agents
- Structured multi-step debate loops to reduce blind spots in decisions
- Provider-agnostic model routing across OpenAI, Anthropic, Google, and Ollama
Demos & availability
Project demo: Coming soon
Demo video: Coming soon
Contact
Let's put TradingAgents to work.
Tell us about your workflow and we'll respond with a practical build path within two business days.