research-analyst-system

To automate investment research, this multi-agent system deploys a Chief Analyst coordinating six specialized teams to perform deep dives into equities, commodities, crypto, and macroeconomics, generating structured reports.

A multi-agent system for financial analysis uses a Chief Analyst to coordinate six specialized research teams, each invoking unlimited researchers to conduct detailed macroeconomic and asset analysis and produce structured reports.

To generate an investment research report for a specific commodity, ask the system to analyze your target, and the specialized commodities research team will execute detailed analysis and output a structured report.

Yes, you can use this system for both domestic and foreign equity research, as it features dedicated Domestic Equities and Foreign Equities research teams alongside macroeconomic and crypto analysts.

Yes, the financial research analyst supports external data retrieval, utilizing various internal and external search tools to gather necessary information for its specialized research teams.

A limitation of using an AI financial research team for macroeconomic analysis is that while it generates structured reports using search tools, it cannot guarantee real-time market execution or predict unforeseen black swan events.