We were interested in data analytics and helping others through our knowledge of finance.

What it does

AlgoTrainer is an educational tool for budding algorithmic traders and finance enthusiasts. Through AlgoTrainer, users are able to design and test algorithms to buy and sell stocks based on simulations from past historical data (pulled from Nasdaq's API). After running the simulations on the data, AlgoTrainer provides the user the option of viewing their results through different forms of graphical representations. The user is able to view how their algorithm responds to different market conditions as well as the changes to their portfolio overtime.

How we built it

We built it using HTML, CSS, Javascript using data from the Nasdaq API.

Challenges we ran into

We ran into the issue of figuring out how to manage all the data and visualize it.

Accomplishments that we're proud of

Working really well together to complete an amazing product!

What we learned

We learned a lot about working with JavaScript.

What's next for AlgoTrainer

Add more data to educate users!

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