CaixaBank Java Hackathon

A robust banking system backend developed for CaixaBank's hackathon, featuring comprehensive financial operations, security implementations, and automated trading capabilities.

Java

Spring Boot

PostgreSQL

Docker

CaixaBank Java Hackathon

A comprehensive banking system backend developed for CaixaBank Tech's hackathon challenge. This project implements a robust financial platform that manages stock market operations, automated trading, and secure banking transactions.

Key Features

Core Banking Operations

  • Secure user authentication and authorization using JWT
  • Account management with PIN protection
  • Real-time transaction processing
  • Comprehensive transaction history tracking
  • Fund transfers between accounts

Investment Platform

  • Real-time market price monitoring
  • Asset purchase and sale operations
  • Portfolio management
  • Automated trading bot implementation
  • Investment performance tracking
  • Net worth calculations

Security Implementation

  • Password encryption using BCrypt
  • Two-factor authentication with OTP
  • PIN-protected transactions
  • Role-based access control
  • Secure password reset mechanism

Advanced Features

  • Automated trading bot with market analysis
  • Subscription system for periodic payments
  • Real-time market data integration
  • Email notifications for transactions
  • Performance analytics and reporting

Technical Stack

  • Backend Framework: Spring Boot
  • Security: Spring Security, JWT
  • Database: PostgreSQL
  • Containerization: Docker
  • Build Tool: Maven
  • API Documentation: Swagger
  • Testing: JUnit, Mockito

Technical Challenges

  • Implementation of real-time market data processing
  • Development of secure transaction systems
  • Creation of automated trading algorithms
  • Integration of email notification services
  • Design of scalable subscription systems

Project Impact

This project demonstrates the ability to:

  • Build secure and scalable financial systems
  • Implement complex business logic for trading operations
  • Handle real-time data processing
  • Develop automated financial services
  • Create robust error handling systems