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FinRobot

An open-source AI agent platform for financial analysis using large language models.

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Information

  • Publisher
    frend guo
  • Websitegithub.com
  • Published date2025/05/26

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Introduction

FinRobot: AI Agent Platform for Financial Analysis

FinRobot is an innovative open-source AI agent platform designed specifically for financial applications, extending beyond traditional language models to integrate a wide array of AI technologies. Developed by AI4Finance-Foundation, it offers a comprehensive solution for financial analysis, market forecasting, and trading strategies through advanced algorithms and domain-specific tuning.

Key Features
  • Financial AI Agents Layer: Incorporates Financial Chain-of-Thought (CoT) prompting for complex analysis and decision-making, with specialized agents for market forecasting, document analysis, and trading strategies.
  • Financial LLMs Algorithms Layer: Utilizes models tailored for specific financial domains and global market analysis.
  • LLMOps and DataOps Layers: Supports multi-source integration to select the most suitable LLMs for specific tasks, ensuring optimal performance.
  • Multi-source LLM Foundation Models Layer: Enables plug-and-play functionality with various general and specialized LLMs.
  • Smart Scheduler: Orchestrates task assignment and optimizes LLM selection for diverse financial tasks.
Use Cases
  • Market Forecasting: Predicts stock movements using real-time data, financials, and news analysis (e.g., NVDA stock prediction).
  • Equity Research Reports: Generates detailed annual reports from 10-K forms and market data (e.g., Microsoft 2023 report).
  • Trading Strategies: Develops actionable trading insights with multimodal data processing capabilities.
Target Users

FinRobot is ideal for financial analysts, traders, robo-advisors, and developers in the fintech space seeking AI-driven insights and automation.

Unique Selling Points
  • Open-source framework allowing customization and community contributions.
  • Advanced CoT prompting for logical, step-by-step financial problem-solving.
  • Multimodal data integration for comprehensive market analysis.
  • Extensive library of financial data sources and tools for practical application.

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