A fintech startup is educating "retail" stock traders on how to research stocks, evaluate risk, and determine earning potential.
The startup required a system to process stock data and a data appication for their customers to research stocks.
We created a data management system that pulls stock data and other third-party data into a large repository. A machine learning algorithm automatically analyzes the data and ranks stocks based on a proprietary trading model.
The result is a data application that allows users to quickly identify stock earning potential and risk.
Financial Tech Startup
• Data Application • Data Management • Machine Learning