Free_US_Investment_Agent_System A US stock investment decision-making system with 6 AI agents collaborating Recently, there have been more and more people speculating and researching the US stock market. I have discovered an AI investment decision-making system specifically designed for the US stock market and would like to share it with everyone. This is an advanced AI driven investment agency system used for analyzing and making trading decisions in the US stock market. Free-USInvestment_Sgent_System is like an "AI investment research team" - it uses six AI agents to collaborate and simulate the workflow of a professional investment team. In one sentence, clarify what it does: A US stock investment decision-making tool based on AI multi-agent system. Use yfinance to obtain market data, use AlphaVantage for news sentiment analysis, and then have 6 AI agents perform their respective duties to provide investment recommendations. Who is suitable for? US stock researchers interested in AI Agent architecture: want to understand how multi-agent systems collaborate to make decisions. Retail investors in the US stock market need an AI assisted analysis tool to help evaluate a stock from multiple dimensions. Academic researcher: Study the application of multi-agent systems in financial decision-making. Example What problem did it solve? Most people only look at stocks from one perspective - technical or fundamental. But professional investment decisions need to consider multiple dimensions such as technological trends, financial health, market sentiment, and risk management simultaneously. Free-USInvestment_Sgent_System automates multidimensional analysis by working in parallel with six AI agents. Core architecture: 6 AI agents collaborate and divide tasks. Market Data Agent: Retrieve historical prices, financial indicators, and financial statements from yfinance, and preprocess data for other agents. Technical Analyst: Analyze price trends and patterns, calculate technical indicators, and generate technical trading signals. Fundamentals Analyst: Evaluate a company's financial health, analyze growth indicators, and provide fundamental analysis signals. Sentiment Analyst: Obtain news from AlphaVantage, analyze news emotions using Gemini, and generate emotional signals. Risk Manager: Integrate all analyst signals, assess potential risks, set position limits, and provide risk adjusted recommendations. Portfolio Manager: Make final trading decisions, manage position size, balance risk and return, and generate executable orders. Its workflow: Market Data Agent first collects data → three analysts (technical, fundamental, emotional) conduct parallel analysis → Risk Manager integrates and evaluates all signals → Portfolio Manager makes the final decision. Speaking of its positioning and boundaries: ⚠️ It is more of a showcase of a 'multi-agent collaboration framework' rather than a trading system that can be directly put into practice. The data source relies on yfinance and AlphaVantage (the free version has call restrictions), and there is no real-time trading interface or backtesting engine provided. Its true value lies in the fact that if you want to learn how to collaborate with multiple AI agents to solve complex decision-making problems, this code is a very clear learning template. Its code structure is concise, the division of Agent responsibilities is clear, the workflow is traceable, and it is convenient for secondary development. Project address: https://(GitHub)/oldharrywang/Free-USInvestment_Sgent_System