Real-Time-Stock-Market-Data-Visualization

Overview:

This project simulates a real-time stock market data visualization system that processes live stock price updates from a server or API and visualizes them using dynamic charts. The system uses TCP/IP for receiving stock price updates, multithreading for efficient data processing, and graphical rendering for displaying real-time trends. The application also allows users to filter and analyze specific stocks or indices.

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Key Features:

1. Real-Time Data Streaming:

   • Receive live stock price updates via TCP/IP sockets.
   • Simulate a stock exchange server that broadcasts price updates for multiple stocks.

2. Data Processing:

   • Process incoming stock price updates using multithreading.
   • Store historical data for each stock in memory for analysis.

3. Dynamic Visualization:

   • Use a GUI framework (e.g., Qt or WxWidgets) to render real-time line charts for stock prices.
   • Allow users to zoom in/out, pause/resume, and filter specific stocks or indices.

4. STL Usage:

   • Use std::unordered_map to store stock data (e.g., stock symbol → price history).
   • Use std::vector to store price history for each stock.

5. OOP Design:

   • Encapsulate the stock data, visualization logic, and networking in separate classes (Stock, StockMarket, ChartRenderer).
   • Use polymorphism to allow different types of visualizations (e.g., line chart, candlestick chart).

6. Error Handling:

   • Handle invalid stock symbols, missing data, and network errors.
   • Provide meaningful error messages for debugging.

7. Optional Enhancements:

   • Custom Indicators: Add technical indicators like moving averages, RSI, or MACD.
   • Performance Metrics: Display real-time performance metrics (e.g., latency, update frequency).
   • Database Integration: Store historical stock data in a database (e.g., Microsoft SQL Server) for later retrieval.

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Folder Structure:

StockMarketVisualization/
├── include/
│   ├── Stock.hpp           // Stock class definition
│   ├── StockMarket.hpp     // Stock market class definition
│   ├── ChartRenderer.hpp   // Chart rendering class definition
│   ├── Logger.hpp          // Logging utility
│   └── TechnicalIndicators.hpp // Technical indicators implementation
├── src/
│   ├── Stock.cpp
│   ├── StockMarket.cpp
│   ├── ChartRenderer.cpp
│   ├── Logger.cpp
│   └── TechnicalIndicators.cpp
├── main.cpp                // Main entry point
├── CMakeLists.txt          // Build configuration
└── README.md               // Project documentation

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Workflow:

1. Stock Exchange Server:

   • Simulates a stock exchange by broadcasting random price updates for multiple stocks over TCP/IP.

2. Stock Market Client:

   • Connects to the server and receives real-time stock price updates.
   • Processes updates using a thread pool and stores historical data in memory.

3. Chart Rendering:

   • Renders real-time line charts for selected stocks.
   • Allows users to interact with the charts (e.g., zoom, filter, pause).

4. Optional Database Integration:

   • Stores historical stock data in a database for later analysis.

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Example Use Case:

• A user starts the stock exchange server, which broadcasts random price updates for stocks like AAPL, MSFT, and GOOG.
• The user launches the client application, which connects to the server and displays real-time charts for the selected stocks.
• The user can zoom in on specific time intervals, add technical indicators, or filter specific stocks.

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Technologies Used:

1. STL: std::unordered_map, std::vector, std::thread, std::mutex.
2. OOP: Encapsulation and modularity in designing Stock, StockMarket, and ChartRenderer classes.
3. Multithreading: Concurrent handling of data processing and rendering.
4. Networking: TCP/IP sockets for real-time data streaming.
5. GUI Framework: Qt or WxWidgets for graphical rendering.
6. Database (Optional): Interaction with Microsoft SQL Server using ODBC for storing historical data.