DeepAgents is a stock research AI system with deep intelligences architecture, which realizes financial analysis capabilities close to the level of professional analysts through LangChain's DeepAgent framework. Unlike traditional chatbots, the system consists of multiple specialized sub-intelligences, each of which plays the role of an expert in a specific field, such as a fundamental analyst, a technical analyst, and a risk assessor.
Its core strength lies in the innovative Deep Intelligent Body architecture, which can handle complex financial analysis tasks that require prolonged thinking through the collaborative work of system commands, task planning tools, sub-intelligent bodies, and file systems. Specific application performance includes: the ability to conduct comprehensive analysis from three dimensions simultaneously: fundamental, technical and risk; the use of structured workflow to ensure the completeness and systematicity of the analysis; and the support of real-time access to stock prices, financial statements, and other technical indicator data.
The system reduces stock research, which traditionally takes hours or even days, to a few minutes and automatically generates professional research reports containing investment recommendations and target prices. A typical use case is a comprehensive analysis of Apple Inc (AAPL) over a six-month period, including a complete process of financial performance evaluation, technical trading signal identification, risk assessment and investment recommendation generation.
This answer comes from the articleDeepAgents: an AI Intelligence for Professional-Grade Equity ResearchThe
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