FinRobot

FinRobot is an open source AI agent platform that utilizes large language models (LLMs) to provide comprehensive solutions for financial applications. It integrates a variety of AI technologies, goes beyond a simple language model, demonstrates the versatility and adaptability of the platform, and meets the diverse needs of the financial industry. FinRobot 's AI agent concept refers to an intelligent entity that uses a large language model as its brain to perceive the environment, make decisions and perform actions. Unlike traditional artificial intelligence, AI agents have the ability to think independently and use tools to achieve a given goal step by step.

Demand group:

"The target audience of FinRobot is financial analysts, traders, investment advisors and any professionals who need to use AI technology for market analysis and decision-making. The product helps users predict market trends more accurately by providing advanced AI agents and strategies, Optimize investment portfolios and improve trading efficiency."

Example of usage scenario:

FinRobot 's market forecasting agents are used by financial analysts to analyze the stock market and predict future trends.

Investment advisors use document analysis agents to extract key data from complex financial reports to provide investment recommendations to clients.

Traders automate trade execution and optimize portfolio management through trading strategy agents.

Product features:

Market prediction agent: analyze market dynamics and predict stock trends.

Document analysis agent: Process financial documents and extract key information.

Trading strategy agent: Develop trading strategies based on analysis results.

Intelligent scheduler: optimize model diversity and select the most appropriate LLM to execute tasks.

Agent registration and management: Register agents, track the availability of agents in the system, and allocate tasks efficiently.

Agent Adapter: Customize agent functionality to suit specific tasks, improving performance and system integration.

Task Manager: Manages and stores LLM base agents customized for different financial tasks.

Usage tutorial:

1. To create a new virtual environment, it is recommended to use Python's virtual environment management tool.

2. Download the FinRobot code library, which can be downloaded through the terminal or manually.

3. Install FinRobot and its dependencies, you can get the latest version from PyPI or install directly from the code base.

4. Modify the configuration file OAI_CONFIG_LIST_sample and add the OpenAI API key.

5. Modify the config_api_keys_sample file and add the API keys of FINNHUB, financialmodelingprep and sec-api.

6. Start using various functions of FinRobot according to the provided tutorials or demonstrations.