The system automatically collects information from stock exchanges for further analysis and forecasting.
A number of microservices compile data from several stock exchanges and then display financial and market information. A user can sort the data, select required filters, generate reports and so on. It is also planned to implement Machine Learning and Data Science to create more accurate forecasts.
What Was Done
Our main task was to develop backend, administrative panel for users. In order to manage the microservices as a single unit we used Kubernetes, which allows continuous development, isolation and intelligent use of resources to improve productivity of the system.
Technologies and tools: Python 3.x, Flask, MongoDB, Kubernetes