StockTradePro - Portfolio Management Platform

 

StockTradePro - Portfolio Management Platform

Cloud-Native Microservices Financial Portfolio Management Application

Developed a comprehensive stock portfolio management platform using microservices architecture, enabling users to track investments, manage watchlists, receive real-time market updates, and analyze portfolio performance with advanced financial metrics. Built with containerized services deployed on Kubernetes for high scalability and reliability.

Key Features Implemented

  • Portfolio Management: Create, update, and track multiple investment portfolios with real-time calculations of gains/losses, performance metrics, and asset allocation
  • Stock Market Integration: Real-time stock data processing, market overview dashboards, advanced stock screening with filters, and comprehensive market analysis tools
  • Watchlist & Alerts: Customizable watchlists with price alerts, percentage-based notifications, and real-time stock monitoring
  • Transaction Management: Complete transaction history tracking, buy/sell order management, and detailed financial reporting
  • User Authentication: Secure JWT-based authentication system with role-based access control and session management
  • Real-time Notifications: In-app notification system with email/push notification preferences and market event alerts

Technical Architecture & Skills

Microservices Architecture

  • API Gateway Service: Ocelot-based routing, authentication, and load balancing across microservices
  • Portfolio Service: Independent microservice handling portfolio management and calculations
  • Stock Data Service: Dedicated service for market data processing and stock information
  • Notification Service: Autonomous service managing alerts, notifications, and user preferences
  • User Authentication Service: Centralized identity and access management microservice
  • Service Communication: Inter-service communication via HTTP APIs and RabbitMQ messaging

Frontend Technologies

  • Blazor Server: Component-based UI framework with server-side rendering
  • Bootstrap 5: Responsive design framework with custom CSS styling
  • SignalR: Real-time bi-directional communication for live market updates
  • JavaScript Interop: Custom JS integration for enhanced UI interactions

Backend Technologies

  • .NET 9 Web API: RESTful API architecture with clean separation of concerns
  • Entity Framework Core: Object-relational mapping with PostgreSQL database
  • Ocelot API Gateway: Centralized routing, authentication, and load balancing
  • PostgreSQL: Primary database for transaction and user data storage
  • Redis: Distributed caching layer for performance optimization
  • RabbitMQ: Message queuing system for asynchronous processing

DevOps & Infrastructure

  • Docker: Containerized microservices with multi-stage builds and optimized image layers
  • Kubernetes: Container orchestration with pods, services, deployments, and ingress controllers
  • Service Discovery: Kubernetes DNS for automatic service registration and discovery
  • Auto-scaling: Horizontal Pod Autoscaler (HPA) for dynamic scaling based on CPU/memory metrics
  • Rolling Deployments: Zero-downtime deployments with health checks and readiness probes
  • Container Registry: Docker image management, versioning, and security scanning
  • Infrastructure as Code: Kubernetes manifests (YAML) for declarative infrastructure management

Development Practices

  • Microservices Design Patterns: Domain-driven design with bounded contexts and service independence
  • Clean Architecture: Separation of business logic, data access, and presentation layers per service
  • Repository Pattern: Abstracted data access with dependency injection across microservices
  • API-First Development: OpenAPI/Swagger documentation for service contracts
  • Distributed System Patterns: Circuit breaker, retry policies, and fault tolerance mechanisms
  • Event-Driven Architecture: Asynchronous messaging between services using RabbitMQ
  • Mock Services: Comprehensive testing infrastructure with simulated data and service mocking
  • Responsive Design: Mobile-first approach with cross-platform compatibility
  • RESTful API Design: Standardized HTTP endpoints with proper status codes per microservice

Advanced Features

  • Financial Calculations: Portfolio valuation, P&L calculations, percentage gains/losses, and risk metrics
  • Data Visualization: Interactive charts and graphs for market trends and portfolio performance
  • Search & Filtering: Advanced stock screening with multiple criteria (sector, market cap, performance)
  • Pagination & Sorting: Efficient data handling for large datasets across distributed services
  • Security: Input validation, SQL injection prevention, and secure authentication flows
  • Distributed Caching: Redis implementation across microservices for improved performance
  • Service Resilience: Health checks, circuit breakers, and graceful degradation patterns
  • Load Balancing: Kubernetes-native load balancing with session affinity support

Business Impact

  • Built cloud-native microservices architecture supporting thousands of concurrent users with elastic scaling
  • Implemented real-time data processing across distributed services capable of handling market-speed updates
  • Created intuitive user experience reducing portfolio management complexity while maintaining system resilience
  • Designed fault-tolerant microservices with 99.9% uptime using Kubernetes orchestration
  • Achieved horizontal scalability through containerized deployment with auto-scaling policies
  • Reduced deployment time by 80% through automated CI/CD pipelines and rolling deployments
  • Implemented service isolation ensuring individual service failures don't cascade across the system

Technologies & Tools

Frontend: Blazor Server, HTML5, CSS3, Bootstrap 5, JavaScript, SignalR Client Backend: .NET 9, ASP.NET Core Web API, Entity Framework Core, Ocelot API Gateway Database: PostgreSQL, Redis (Distributed Caching) Messaging: RabbitMQ (Event-Driven Communication) Microservices: Domain-Driven Design, Service Mesh, API Gateway Pattern DevOps: Docker, Kubernetes, Helm Charts, Container Orchestration, CI/CD Pipelines Development: Visual Studio, Git, REST APIs, OpenAPI/Swagger, JSON, JWT Authentication Architecture: Microservices, Clean Architecture, Repository Pattern, Dependency Injection, Cloud-Native Design, Event-Driven Architecture

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