These questions were at the centre of the project that fintech company Minveo AG carried out with students from the Digital Technologies & Coding B.Sc. programme at Macromedia University.
The students’ answer: An innovative online stock portfolio analyser that allows users to select a sample portfolio and compare its profitability with others in real time.
“We believe that the Macromedia application represents significant added value for the financial website,” says Dirk Breitsameter, member of the Minveo Supervisory Board.
“By enabling our customers to compare different portfolio strategies, we are giving them the tools they need to make informed investment decisions and achieve their financial goals.”
What components characterise the Macromedia application? After evaluating various technologies, the student team decided that Python and Dash were the best tools for the job.
“Python and Dash are a powerful combination for creating interactive web applications,” says Prof Dr René Brunner.
“The students’ choice of these technologies demonstrates their ability to make sound technical decisions and their commitment to developing innovative solutions.”
When the students presented their finished application to the customer from Minveo AG, both the Minveo decision-makers (Dirk Breitsameter / Supervisory Board, Mathias Gehrke / Executive Board and Thomas Berger / Machine Learning Engineer) and their own teaching staff (Prof. Dr René Brunner, Prof. Dr Mo Badr) were impressed. They experienced a robust, scalable application that can process large amounts of data, is user-friendly, responsive and easy to use.
“We are delighted to have implemented this application with Python and Dash,” says Thomas Berger.