What it does

By analyzing the dataset provided by a major bank, our team looked for innovative ways to display and animate the data's progression in real time, through the different states of a stock exchange. This was later completed through a complete analysis of the dataset in order to determine occurrences of anomalies in the time stamps and responses.

How we built it

We used C++ to analyze the datasets that were provided and parse the important components into a file, later analyzed in a live Vanilla Javascript setup.

What's next for Xchange

The scalability of our project renders it perfect for any real-time application which would track the transactions of an exchange platform. The anomaly detection can also further be improved, and the model refined in order to suit more cases.

Share this project: