Extending the DeepAgents functionality involves two levels of modification:
Data Source Adaptation
- Replacement of the default data interfaceModify the code module related to yfinance to access Wind, Tushare and other A-share data APIs.
- Localized data processing: Adjustment of financial indicator formulae to conform to A-share characteristics (e.g., dealing with different financial report formats)
Analytical Model Optimization
- Creating exclusive sub-intelligences: Development of analytical modules (e.g., policy analysis intelligences) tailored to the characteristics of the A-share market
- Adjustment of analysis logic: Modify technical indicator parameters, valuation models, etc. to adapt to the volatility characteristics of A-shares
Implementation of recommendations
It is recommended to extend the functionality by inheriting the original Agent class, keeping the core architecture unchanged. For example , create a new CNStockAnalyzer subclass , rewrite the data acquisition method . Project open source features allow developers to freely add custom tools (Technical Tools) and new types of analysis report templates.
This answer comes from the articleDeepAgents: an AI Intelligence for Professional-Grade Equity ResearchThe
May not be reproduced without permission:AI productivity tools " What should I do if I want to extend the functionality of DeepAgents, such as adding support for A shares?
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