Case Study: a company active in the financial domain achieves currency exchange analytics and forecasting with Andersen

a company active in the financial domain achieves 70% forecast accuracy with Andersen

Andersen was engaged by a company active in the financial domain to build a reliable service for collecting, processing, and displaying comprehensive currency exchange analytics. The customer's challenge was to effectively aggregate data from numerous sources to provide valuable forecasts and insights for financial decision-making.

Andersen developed a platform with parsers to collect data from 18 sources, a backend API for processing, and a dashboard for visualization. The solution included a forecasting tool and a Telegram bot for delivering signals. As a result, the project achieved an impressive 70% forecast accuracy and serves a user base of 70,000 individuals, providing valuable assistance in financial decision making.