AI Stock Portfolio - Multi-Agent Architecture
An AI-powered investment research and portfolio management platform that deploys a council of specialist AI agents to scan markets, debate stock picks, and deliver conviction-ranked recommendations while keeping the human investor in control of every trade.
The Origin
The platform began as a pragmatic attempt to move investment research beyond ad hoc spreadsheets and disconnected notes into a repeatable decision system. It grew into a multi-agent architecture where specialist AIs take defined roles, debate evidence, and create a transparent human-vs-machine benchmark through the Shadow AI Portfolio.
The Cognitive Council
Rather than relying on a single large language model pass, the system orchestrates seven distinct agents:
- Atlas: Technical analysis and price structure
- Oracle: Fundamental analysis and business quality
- Pulse: Sentiment, market narrative, and signal interpretation
- Horizon: Macro context and regime awareness
- Charge: Bull case advocacy
- Guard: Bear case challenge
- Apex: Chief analyst synthesis and final conviction
Core Differentiators
- Not a demo project: a fully implemented architecture-led platform with disciplined decision records.
- Structured bull-vs-bear debate improves research quality over single-pass AI outputs.
- Shadow AI Portfolio creates transparent Human vs Machine benchmarking.
- Free-tier-first provider strategy with intelligent failover keeps operating costs under control.