Finance Agent is an AI-powered financial analysis tool built using Agentic AI principles with Agno (previously known as Phidata). The project leverages autonomous financial agents to analyze market data, predict trends, and assist in data-driven investment decisions.
Finance Agent is designed to streamline financial decision-making with AI-driven capabilities:
- The system employs Agentic AI to automate financial data gathering and decision-making.
- AI agents continuously monitor market fluctuations and generate real-time insights.
- Fetches and processes stock market data from multiple financial sources.
- Provides technical and fundamental analysis for stocks, cryptocurrencies, and commodities.
- Uses machine learning models to predict future stock trends based on historical data.
- Implements time-series forecasting algorithms for better investment planning.
- Suggests optimal investment strategies based on market trends and risk analysis.
- Supports portfolio optimization using AI-powered recommendations.
- Evaluates risk levels based on volatility, historical performance, and sentiment analysis.
- Helps users diversify and rebalance their portfolio automatically.
Follow these steps to set up the project on your local machine:
- Clone the repository:
git clone https://github.com/your-username/finance-agent.git
cd finance-agent
pip install -r requirements.txt
python main.py
📖 Usage Simply run the script and input your financial data to receive AI-driven insights.
🎯 License This project is licensed under the MIT License.
👤 Author Dr. Loveleen Gaur https://www.linkedin.com/in/loveleen-gaur-ba53746/ https://github.com/LoveleenGaur/finance-agent