QMoney is a visual stock portfolio analyzer designed to assist portfolio managers in making trade recommendations for their clients. This project focuses on implementing core logic, enhancing performance and stability, and integrating multiple stock quote services.
- Implemented the core logic of the portfolio manager and published it as a library.
- Refactored the codebase to support multiple stock quote services.
- Improved application stability and performance.
- Introduced multithreading to enhance application responsiveness.
- Conducted performance tests and wrote unit tests to measure improvements.
- Added support for a backup stock quote service (Alpha Vantage) to improve availability.
- Implemented comprehensive error reporting and better exception handling for improved stability.
- Refactored code using Java interfaces and published a JAR file for easy distribution.
- Fetched stock quotes using Tiingo's REST APIs and computed annualized stock returns.
The portfolio manager interface is a crucial aspect of QMoney, providing the necessary tools and functionalities for portfolio management and trade recommendations.
- Implemented multithreading to enhance application responsiveness and optimize resource utilization.
- Conducted performance tests to measure the impact of optimizations.
- Wrote unit tests to ensure the stability and effectiveness of the performance improvements.
- Added support for a backup stock quote service (Alpha Vantage) to improve availability and ensure uninterrupted service.
- Enhanced application stability by implementing comprehensive error reporting and better exception handling strategies.
- Addressed common issues and bugs to improve overall system reliability.
- Refactored the codebase to adhere to an updated interface contract published by the backend team.
- Published the portfolio manager library as a JAR file, facilitating versioning and easy distribution.
- Created examples and documentation to assist developers in utilizing the library (JAR) effectively.
- Utilized Tiingo's REST APIs to fetch stock quotes, ensuring accurate and up-to-date data.
- Calculated the annualized returns based on stock purchase date and holding period, aiding portfolio analysis and decision-making.
The QMoney project aimed to create a robust and efficient stock portfolio analyzer for portfolio managers. By implementing core functionalities, improving performance and stability, integrating multiple stock quote services, and utilizing industry-standard practices, QMoney provides an effective solution for analyzing stock portfolios and making informed trade recommendations.