Gold Trading Record and Price Monitoring Website

Project Overview

This project is a web application designed, developed, and deployed to support real-time monitoring of gold prices. The application provides functionalities to set price fluctuation alerts, record historical transactions, and manage user authentication, ensuring a seamless and secure experience for users involved in gold trading.

Project URL: https://www.qwq7000.top
GitHub Repository: https://github.com/7000qwq/gold

Tech Stack

• Backend: SpringBoot (Java)
• Database: MySQL
• Caching: Redis
• Messaging: RabbitMQ
• Real-Time Communication: WebSocket
• Deployment Tools: Nginx, Docker, Raspberry Pi

Key Features

Identity Verification

• JWT-Based Authentication:
  • JWT tokens are generated during user login, utilizing ThreadLocal to store session information for secure and efficient operations.
  • User registration includes email-based identity verification to enhance system security and user experience.

Real-Time Gold Price Retrieval and Status Updates

• Utilized Spring Task Scheduler for periodic retrieval of the latest gold prices.
• Employed HttpClient and Jsoup to fetch data from external sources.
• Leveraged RabbitMQ and WebSocket to push real-time data to the frontend for seamless updates and chart displays.

Asynchronous Message Handling

• Implemented asynchronous email sending using RabbitMQ, reducing frontend waiting time.
• Decoupled backend modules via RabbitMQ to enhance message delivery reliability and improve system maintainability.

Caching Mechanism

• Used Redis to store user-defined price alert strategies, significantly improving data access speed and overall system responsiveness.

Project Deployment

• Configured Nginx for reverse proxying and deployed the application on a Raspberry Pi using Docker.
• Incorporated internal network penetration techniques and HTTPS tunnel mapping to enable public access through a personal domain.

How It Works

1. User Registration and Login:

   • Users register with an email address and receive a verification link to complete the process.
   • Login sessions are managed using JWT tokens.

2. Real-Time Price Monitoring:

   • The backend periodically fetches the latest gold prices and updates the database.
   • Price updates are sent to the frontend in real-time using WebSocket.

3. Price Alerts:

   • Users can set high and low threshold prices for alerts.
   • The system sends email notifications when the latest price meets the defined thresholds.

4. Historical Data Management:

   • The application records and displays historical transaction data for user analysis.

5. Scalability and Performance:

   • Redis caching enhances data access speed.
   • RabbitMQ ensures efficient and reliable messaging between components.

Deployment Instructions

1. Setup Environment:

   • Install Docker and Docker Compose.
   • Configure Nginx for reverse proxying.

2. Database Configuration:

   • Set up MySQL and Redis instances with appropriate configurations.

3. Backend Deployment:

   • Clone the repository from GitHub.
   • Build and run the SpringBoot application using Docker.

4. Domain Configuration:

   • Use an HTTPS tunneling service to map the Raspberry Pi’s internal network to a public domain.

Future Enhancements

• Add line charts of gold prices for different time scales.
• Develop an automated trading tool.

---

For any questions or contributions, please visit the GitHub Repository or contact the project maintainer through the website.