Functional requirements of Stock Market Analysis System with non-functional

Functional Requirements

1. Data Acquisition and Integration
   • Real-Time Data Feed: Integrate with financial data providers to acquire real-time stock prices, trading volumes, and other market data.
   • Historical Data: Access historical stock market data for analysis, including historical prices, trading volumes, and financial statements.
2. Data Storage and Management
   • Database Management: Store and manage large volumes of stock market data, including historical and real-time data.
   • Data Warehousing: Support data warehousing solutions for efficient storage and retrieval of historical data.
3. Market Analysis Tools
   • Technical Analysis: Provide tools for technical analysis, such as moving averages, Bollinger Bands, RSI (Relative Strength Index), and MACD (Moving Average Convergence Divergence).
   • Fundamental Analysis: Include tools for fundamental analysis, such as financial ratios, earnings reports, and valuation metrics.
4. Charting and Visualization
   • Interactive Charts: Generate interactive charts for visualizing stock price trends, trading volumes, and technical indicators.
   • Customizable Dashboards: Allow users to create and customize dashboards with relevant charts, graphs, and widgets.
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5. Alerts and Notifications
   • Price Alerts: Set up alerts for price changes, trading volume thresholds, or technical indicator signals.
   • News Notifications: Provide notifications for significant market news or events affecting stocks.
6. Portfolio Management
   • Portfolio Tracking: Track and manage user portfolios, including current holdings, performance, and historical returns.
   • Performance Metrics: Calculate and display performance metrics, such as ROI (Return on Investment), alpha, and beta.
7. Risk Assessment
   • Risk Metrics: Provide tools for assessing risk, such as value at risk (VaR), volatility measures, and stress testing.
   • Scenario Analysis: Allow users to perform scenario analysis to evaluate potential impacts of market events on their portfolios.
8. Backtesting
   • Strategy Testing: Support backtesting of trading strategies using historical data to evaluate their effectiveness.
   • Simulation: Provide simulation tools for testing hypothetical trades and strategies.
9. User Management and Authentication
   • Access Controls: Implement user authentication and role-based access controls to manage permissions and data access.
   • Account Management: Allow users to manage their accounts, preferences, and settings.
10. Integration with External Services
    • Brokerage Integration: Integrate with brokerage platforms for executing trades and retrieving account information.
    • Financial News Feeds: Incorporate financial news feeds and analysis from reputable sources.
11. Reporting and Analytics
    • Custom Reports: Generate custom reports on stock performance, portfolio performance, and market trends.
    • Analytics Tools: Provide analytical tools for trend analysis, correlation analysis, and forecasting.
12. Data Export and Import
    • Data Export: Support exporting data to various formats (e.g., CSV, Excel) for external analysis and reporting.
    • Data Import: Allow importing data from external sources or legacy systems.

Non-Functional Requirements

1. Performance
   • Real-Time Processing: Ensure the system can handle and process real-time data efficiently with minimal latency.
   • High Throughput: Manage high volumes of data and user interactions without performance degradation.
2. Scalability
   • Data Scalability: Scale the system to accommodate increasing amounts of market data and user activity.
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   • User Scalability: Support a growing number of users and concurrent access.
3. Availability
   • High Availability: Ensure the system is highly available with minimal downtime (e.g., 99.9% uptime).
   • Disaster Recovery: Implement disaster recovery and backup solutions to protect data and ensure continuity.
4. Security
   • Data Protection: Secure user data and financial information through encryption and secure access controls.
   • Compliance: Adhere to financial regulations and data protection standards (e.g., GDPR, FINRA).
5. Usability
   • User Interface: Design an intuitive and user-friendly interface for ease of use and navigation.
   • Customization: Provide options for users to customize their experience and dashboard.
6. Compatibility
   • Cross-Platform Support: Ensure compatibility with various devices and operating systems (e.g., web, mobile).
   • Integration: Integrate seamlessly with other financial tools and services.
7. Maintainability
   • Modular Design: Maintain a modular and well-documented codebase to facilitate updates and maintenance.
   • Automated Testing: Implement automated testing and continuous integration practices to ensure system stability.
8. Reliability
   • Error Handling: Provide robust error handling and recovery mechanisms to minimize system errors and downtime.
   • Monitoring: Implement monitoring tools to detect and address issues proactively.
9. Compliance
   • Regulatory Compliance: Ensure compliance with financial regulations and industry standards.
   • Data Privacy: Adhere to data privacy regulations and best practices.
10. Efficiency
    • Resource Optimization: Optimize resource usage to ensure efficient operation and cost-effectiveness.
    • Data Processing: Implement efficient data processing and storage practices.