Cloud-Based Algorithmic Trading Strategies for High-Performance Portfolios
Sept 2023 - March 2024
A sophisticated financial technology application that combines algorithmic trading strategies with cloud computing to deliver high-performance portfolio recommendations.
Key Features
- Dynamic User Interface: Implemented responsive user interfaces in JavaScript, leveraging React for interactive and scalable components in a cloud-based portfolio recommendation app
- Collaborative Design: Worked with UX/UI designers to translate design mockups into functional React components
- Advanced Data Processing: Integrated Python for importing, exploring, and transforming stock market data, showcasing strong programming skills
- Risk Management: Applied diverse range of strategies including AI/ML and rule-based approaches to optimize portfolio performance and manage risks effectively
- Comprehensive Database: Built a framework for comprehensive database to store stock market data, processed data, and trading strategy results
- Cloud Computing Integration: Developed and applied database expertise, cloud computing skills, and proficiency in C# while actively engaging in effective communication through collaborative efforts
Technical Skills
Python, C#, ASP.Net, AWS, MongoDB, AI/ML, CI/CD pipeline, Git & GitHub
Impact
Successfully delivered a scalable trading platform that combines modern web technologies with advanced financial algorithms to optimize investment strategies and risk management.