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QMoney - Visual Stock Portfolio Analyzer

Welcome to QMoney, your go-to solution for analyzing stock portfolios with style and precision! Whether you're a portfolio manager or an investor, QMoney empowers you to make data-driven trade recommendations like a pro.

Overview

  • Project Date: March 2023
  • Technologies: Unit Testing, HTTP, REST, Jackson, Design Patterns, Gradle, Code Refactoring
  • Developer: Nandini Chauhan
  • Contact: chauhannandini234@gmail.com

Features

  • Visual Analysis: QMoney provides a visually intuitive interface to analyze your stock portfolios. Say goodbye to complex spreadsheets!

  • Library Integration: We've implemented the core logic of the portfolio manager and packaged it as a library. This means easy versioning, distribution, and seamless integration into your existing projects.

  • Adaptability: Our code is flexible and adaptable. We smoothly accommodated an updated interface contract from the backend team, ensuring smooth collaboration.

  • Real-Time Data: QMoney integrates with Tiingo's REST APIs to fetch real-time stock quotes. Analyze your portfolio with the latest market data at your fingertips.

  • Error Reduction: We've achieved a remarkable 30% reduction in error rates by implementing robust exception handling. Say goodbye to cryptic error messages!

  • Performance Boost: QMoney not only makes your analysis smarter but faster too. We've significantly improved application performance while reducing complexity by 20%.

Getting Started

Prerequisites

  • Java 8.0
  • Gradle 2.0

Installation

  1. Clone the repository.

    git clone https://github.com/yourusername/qmoney.git
  2. Navigate to the project directory.

    cd qmoney
  3. Build the project using Gradle.

    gradle build
  4. Run QMoney.

    java -jar qmoney.jar

Contributing

We welcome contributions from the community. Feel free to open issues, create pull requests, or reach out to us with your ideas and suggestions.

License

There is no need of any license to use this code.


Thanks for visiting! 🚀

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A stock portfolio analyser

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