Test live at https://hoostocks.co !
This project is a project to be submitted for the 2024 HooHacks hackathon, hosted by UVA.
HooStocks is a stock-analyzing application, being able to analyze stocks in real-time while having unlimited API calling and no rate-limiting.
It uses a LLM in order to provide a score for a user-inputted stock based on stock history, current price, P/E ratio, all-time highs and lows, and the stock company's value as a company amongst several other factors.
<<<<<<< HEAD
- Sebastian Luna =======
7fbf647640733aff0224aade16aa9ded28c47260
- Yatin Jason Manuel
- Dang Le
- Jasmeet Bhamra
- Harry On
We chose to do this as we wanted to develop an application that would be able to provide users with a deep analysis of any inputted stock while incorporating a LLM into the project.
- Fixing the authentication system
- Adding more factors and considerations into the analysis process
- Taking advantage of more resources such as Intel Developer Cloud
- Plan earlier than the competition starting date next time
- Know / assign all team members' roles prior to arriving
- Manage our time better in order to visit more workshops
- React.js (Front-End Framework)
- Tailwind CSS (Styling Framework)
- shadcn/ui (UI Elements and Library)
- Next.js (Meta-framework)
- Express.js (Handlers and API Calling)
- Mongoose (Authentication)
- MongoDB (Database)
- OpenAI (Generative Text and Stock Analysis)
- polygon.io (Requesting Stock Information) <<<<<<< HEAD
=======
7fbf647640733aff0224aade16aa9ded28c47260