Social networks have an increasing number of users. For this reason, we decided to examine whether market fluctuations can be predicted by analyzing the opinions posted by them. We built a predictive model and examined whether we found a link between fluctuations in stock values and fluctuations in sentiment on the social network. For the analysis, we chose one of the most recognizable stock indexes in the world, the Dow Jones index, which contains 30 very large companies. In the sentimental analysis, we included tweets of people who are in leading positions in individual companies contained in the Dow Jones index. In this way, we got a general mood among the leaders of each company and proved the connection between sentiment on social networks and market fluctuations.
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