AlphaStart

Many college students new to investing will make large mistakes in the stock market. AlphaStart is an ai-powered tool to assist learning and investing in stocks with risk conscious lens.

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Inspiration

Many college students fall victim to the speculative nature of stock investing information on social media platforms. Students can end up putting money into highly speculative stocks without knowing anything about what the company does or how to assess the overall risk or financial performance of a stock. AlphaStart gives students curious about investing AI-powered tools to learn about the markets and helps make risk-conscious decisions.

What it does

After logging in and completing the questionnaires, the website allows users to search for stock or company information by entering a ticker or company name. If the data is available in the database, it is displayed immediately; if not, the site fetches the information in real-time and updates the database for future searches. The interface is designed to be user-friendly and intuitive.

How we built it

Users input a ticker name or company name in the "polygon" interface. The input is sent through a data bridge with API agents to a Python/Flask backend. The backend accesses a SQLite3 database to retrieve the corresponding data; if found, it's displayed in the app. If not found, the backend uses Claude and Polygon.io's API to fetch the information in real-time and updates the database for future use. The website interface is built with TypeScript, Next.js, and Framer Motion, which we made sure was highly user-friendly and intuitive.

Challenges we ran into

We ran into challenges when deciding on an idea, with our first idea being a side hustle app. When we learned this isn't as helpful for our target audience, we changed our idea to stocks to help users invest in money smarter. Other challenges we ran into included hitting rate limits while testing out the API which was solved with queries with database integration and getting a successful UI interface that matches the Figma

Accomplishments that we're proud of

We successfully integrated the Polygon and Claude API into our project and can now receive real-time data with our AI agents. We're also proud that we were able to have a full-functioning app and achieve a simplistic UI interface.

What we learned

We learned more about integrating AI agents into our projects, integrating the agents into the frontend, making the perfect slides for our projects, and what it takes to truly do research on our topic

What's next for AlphaStart

Allowing ETFs trading on our platform, add more sophisticated financial analysis, developing a mobile application for enhanced usage

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