Four typical application scenarios
- Individual Investor Self-Help Research
Allows non-professional investors to gain institutional-grade analytics in minutes, especially suited for scenarios where multiple investment targets need to be evaluated quickly.
- Financial analyst efficiency tools
Professional analysts can use it to generate initial reporting frameworks, saving time on data collection and focusing instead on higher-value analytical work.
- Financial Education Practice Platform
Students can learn professional analysis methods by observing the analysis logic of AI, and also understand the implementation principles of financial AI by modifying the code.
- Automated Reporting Line
Investment research teams can develop a batch reporting system based on its architecture to automatically track stock pools and generate standard analytical reports on a regular basis.
Example of usage scenarios
For example, when constructing a portfolio, 3-5 stocks can be entered at the same time for side-by-side comparison and analysis; when tracking positions, you can set up regular automatic generation of update reports. The system is particularly suitable for scenarios that require quick response to market changes.
This answer comes from the articleDeepAgents: an AI Intelligence for Professional-Grade Equity ResearchThe
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