Inspiration
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.
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