Financial AI Analyst

This project is a Financial AI Analyst that uses multiple AI agents to fetch and analyze financial data. The agents can search the web, fetch stock prices, and provide financial analysis.

Requirements

The project requires the following Python packages:

phidata
python-dotenv
yfinance
packaging
duckduckgo-search
fastapi
uvicorn
groq
openai

Installation

1. Clone the repository:

   https://github.com/SURESHBEEKHANI/Financial-Analyst-AI-Multi-Agent-System.git
   cd financial-ai-analyst

2. Create a virtual environment and activate it:

   python -m venv env
   source env/bin/activate  # On Windows, use `env\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the project directory and add your API keys:

   PHI_API_KEY=your_phi_api_key
   openai_api_key=your_openai_api_key
   

Usage

Running the Financial Agent

To run the financial agent, use the following command:

python financial_agent.py

Running the Playground App

To run the playground app, use the following command:

python playground.py

Agents

Web Search Agent

The Web Search Agent searches the web for information using the DuckDuckGo tool.

Financial Agent

The Financial Agent fetches financial data such as stock prices, analyst recommendations, stock fundamentals, and company news using the YFinanceTools.

Multi-Agent System

The Multi-Agent System combines the Web Search Agent and the Financial Agent to provide comprehensive financial analysis.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.