It is an open-source AI agent platform designed for financial analysis using large language models (LLMs). FinRobot integrates advanced AI technologies to provide a comprehensive solution for financial applications, extending beyond traditional language models. The platform is structured into four layers, each addressing specific aspects of financial AI processing and application. It includes modules for perception, brain, and action, enabling the AI agent to capture and interpret financial data, process it using LLMs, and execute actionable outcomes such as trading, portfolio adjustments, or generating reports.
The platform’s **Perception module** captures and interprets multimodal financial data from sources like market feeds, news, and economic indicators. The **Brain module** acts as the core processing unit, utilizing LLMs and Financial Chain-of-Thought (CoT) processes to generate structured instructions. The **Action module** executes these instructions, translating analytical insights into practical outcomes. A **Smart Scheduler** ensures model diversity and optimizes the selection of the most appropriate LLM for each task.
FinRobot is organized into subfolders such as agents, data_source, and functional, and it can be installed via PyPI or directly from the repository. Users are required to modify configuration files for API keys and OpenAI settings before navigating through tutorials or demos. The platform offers functionalities like predicting stock movements, generating equity research reports, and providing trade strategies. It is released under the Apache-2.0 license and emphasizes that its tools should not be considered financial advice, urging users to consult professionals before trading or investing.
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