DCAvsLS

When participating in the stock market, its important to know what method would get the best output.

Comment

Inspiration

We built this simulator to solve the constant headache of market timing by proving how a disciplined DCA strategy actually performs against the volatility every investor faces.

What it does

It effictively and accurately calculates what method of investing would be most beneficial.

How we built it

We developed the front-end using HTML, CSS, and JavaScript, integrating an AI and a Restful API. We subsequently utilized JSON and CSV for configuration. Our work involved employing databases for information storage and retrieval, leveraging the Spring Boot framework, including its dependencies, controllers, and other related components.

Challenges we ran into

Implementing all components so that they worked together as smoothly as possible and creating the framework.

Accomplishments that we're proud of

Created a functional web app, that uses data from a database and allows us to analyze and present results of our findings.

What we learned

We learnt how to work with franeworks and APIs, connecting them to the front end development side of the project, and an interesting discovery in which investment works better.

What's next for DCAvsLS

We plan to continue to continue study more cases of data received with this app, advancing it in further ways to achieve even more precise result.

Built With

Share this project:

Updates