Stock Discovery For The Average Trader


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