Development of an AI-Powered Algorithmic Trading Platform for Personal Investment Strategies

Dátum
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Absztrakt

This thesis comprises of a web application developed using Typescript and Next.js. It designed to provide an accessible alternative to expensive enterprise grade tools. The platform is built on a three tier architecture with MongoDB being employed for data persistence and Better Auth being responsible for secure authentication and session management. The web application delivers live market data through integration with Finnhub API and TradingView widgets while enabling users to create personalized watchlists and receive automated price alerts through email. Although the original scope included AI-powered algorithmic trading features this implementation successfully deliver core functionality such as user authentication, real data visualization, watchlist management and working email notifications. The project demonstrates that by leveraging modern open source technologies we can lower the barrier for retail investors to access professional grade tools.

Leírás
Kulcsszavak
webapp, stock market, mongodb
Forrás
Gyűjtemények