Analyzing Financial Time-Series Data with MongoDB Atlas (MongoDB World 2022)

Financial time-series data includes stocks, cryptocurrencies, ETFs, and more. Processing of this data to implement complex financial scenarios, such as forecasting the asset prices by analyzing past data, requires a fast, scalable, and multifunctional data platform. In this session, we’ll show and talk about an MVP of a quantitative analysis platform that has been built by using only MongoDB features. We’ll observe the MongoDB Application Data Platform capabilities that allow us to build an end-to-end solution in a short amount of time, time-series collection that is optimized for storing and processing time-based data, windowing operations, Atlas App Services Static Hosting, Atlas Functions, and Realm WEB SDK.

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