A smart and autonomous Financial Agent powered by AI to assist with data-driven financial analysis, forecasting, and decision-making. This project demonstrates the integration of financial data pipelines, AI models, and agentic reasoning to simulate intelligent behavior in financial environments.
- πΉ Market data analysis (stocks, crypto, etc.)
- π Time series forecasting using AI/ML models
- π§ Agentic decision-making (e.g., buy/sell, alerts)
- π Portfolio performance simulation
- π Real-time insights and alerts (optional)
- π Auto-refreshing data pipelines
- Language: Python
- AI/ML Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/P