Quantitative Stock Analyzer is a Java-based financial analysis tool that evaluates historical stock performance using statistical methods and data-driven metrics. The project analyzes market data to identify trends, compare asset performance, and generate quantitative insights into investment behavior.
- Apply statistical methods to compare companies and identify patterns
- Explore how historical relationships can inform investment decisions
- Historical stock data processing
- Daily return calculations
- Total return analysis
- Average daily return computation
- Volatility analysis
- Comparative performance evaluation between stocks
- Modular object-oriented design for financial data analysis
- Java
- Object-Oriented Programming (OOP)
- Data Structures
- Statistical Analysis
- Financial Modeling
- Implement automated data collection through financial APIs
- Develop predictive models using machine learning approaches
Annanya Gargy