DeepAgents uses a multi-intelligence architecture to revolutionize the efficiency bottleneck of traditional stock analysis. The system internally contains multiple specially optimized sub-intelligences, each of which focuses on a specific analysis dimension and handles different analysis tasks simultaneously in a parallel manner. In terms of technical implementation, the system integrates a task planning tool and a file system to ensure that the sub-intelligences can work together efficiently.
- Multidimensional parallel analysis:The Fundamental Analyst sub-intelligence is responsible for evaluating financial performance, the Technical Analyst sub-intelligence deals with various technical indicators, and the Risk Assessor sub-intelligence focuses on quantifying potential risks
- Structured workflow:The use of predefined analytical methodologies ensures that each analytical step is systematized and avoids omissions or duplications in traditional analyses.
- Efficiency gains:Test results show that for a full analysis of the same stock, traditional methods take an average of 4-6 hours, while the DeepAgents system takes only 3-5 minutes
The system's efficiency advantage makes it particularly suitable for scenarios that require rapid response to market changes, such as intraday trading analysis or impact assessment of breaking news. Financial analysts can rely on the system for quick access to basic analytical reports and then focus on higher-level strategy development.
This answer comes from the articleDeepAgents: an AI Intelligence for Professional-Grade Equity ResearchThe
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