Business Activity Indicators for Detecting the Impact of Income Information

This article presents methods of collecting and analyzing data from media publications, with the intent of establishing relations between them and stock market activity. There exists a great number of solutions, that analyze user-given topics and search for publication activity by given keywords. This solution aims to minimize human input, collecting and categorizing information autonomously, thus minimizing the subjectivity of the result. Currently, the general public’s interest in stock market trading is high, but it is near impossible for a human to process all the relevant information and most of the tools are locked behind a paywall or require a certain skill level. The proposed solution is designed to be as simple as possible, while also maintaining a high accuracy in detecting media trends by using clustering and detecting the necessary number of clusters by itself.