AI Multi-Agent Trading Intelligence Platform (Pantheon)

About this work

Pantheon is a production-grade multi-agent AI platform designed to automate equity market research and investment analysis through collaborative reasoning across multiple Large Language Models. Rather than relying on a single model, the system orchestrates several specialized LLMs to independently analyze market data, compare their reasoning, and generate consensus-driven insights for more reliable decision making.

The platform integrates automated workflows for scheduled market analysis, data persistence, observability, and continuous evaluation, creating an end-to-end AI system rather than a standalone chatbot. Built with scalability and maintainability in mind, Pantheon demonstrates modern AI systems engineering by combining multi-agent orchestration, backend infrastructure, and production monitoring into a unified platform capable of running autonomous research pipelines.

The project also incorporates continuous paper-trading validation to benchmark model performance over time, allowing generated insights to be evaluated under realistic market conditions while providing a foundation for iterative improvement and future experimentation.

Key Highlights

• Designed a multi-agent architecture for collaborative AI reasoning

• Orchestrated multiple LLMs to generate consensus-based market insights

• Built automated workflows for scheduled analysis and data processing

• Integrated production-ready backend infrastructure and observability

• Implemented continuous paper-trading evaluation for long-term performance validation