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Appreciate is a digital investment platform designed to simplify stock market investing for individual investors.
Client
Appreciate
Industry
Investing
Project Duration
2 weeks
Website
Appreciate is a digital investment platform designed to simplify stock market investing for individual investors. The platform provides real-time stock market data, portfolio management, and investment tracking through both web and mobile applications. It focuses on delivering a seamless, fast, and scalable experience for users seeking to manage their investments efficiently.
Investors often face challenges in accessing real-time market data, managing multiple investments, and executing trades efficiently. There was a need for a high-performance platform that could handle asynchronous operations, integrate with multiple financial APIs, and scale reliably with increasing user activity
The solution addressed real-time data handling, scalable API design, and robust cloud integration for high-performance systems.
Ensuring the system can handle continuous stock market data feeds without delays. Solution: Implemented asynchronous tasks and background workers to manage real-time data efficiently.
Designing APIs to support multiple users and high-frequency trading operations. Solution: Adopted a microservices architecture with load balancing and optimized query performance.
Coordinating multiple AWS services for reliability and scalability. Solution: Leveraged AWS best practices with auto-scaling, S3 for storage, and RDS for managed database services.
A visual breakdown of the design, development, and performance
that shaped the final product.
Asynchronous Application Design: Β Designed and implemented asynchronous tasks for real-time stock updates and notifications using Python and Django REST Framework.
API Development: Built secure and scalable REST APIs for trading operations, portfolio management, and data retrieval.
AWS Integration: Implemented cloud solutions using AWS services including EC2, S3, and RDS to ensure high availability and scalability.
Microservices Architecture: Β Separated platform functionalities into independent microservices using Flask and Django, allowing modular development and easier maintenance.
Database Management: Β Designed and optimized PostgreSQL schemas for efficient data storage and retrieval.
Containerization: Used Docker to package microservices for consistent deployment across development, staging, and production environments.
The platform was implemented using a combination of web and mobile technologies, backed by a Python-based microservices architecture.
Delivered a high-performance platform enabling users to monitor live stock market data seamlessly.
Built a backend structure designed for easy scalability and integration of future features.
Ensured safe, dependable trading and portfolio management experiences across web and mobile platforms.
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