Contents I. Introduction
Within the real economic system, actors develop criteria based on their own interests, make buying and selling decisions based on the state of their own businesses, and discern the future based on the national and global context. In this way, they not only use the economic indicators themselves for their analyses but are also informed by the news that comes from the press and social networks. These external factors seem to be linked to the behavior of economic indicators through their interpretation in the “microworld” of agents. One of the achievements of this work is to evaluate the impact of the news on the behavior of economic indicators and use this impact in the generation of forecasts. Economic indicators are the emerging result of a complex system, according to the definition of [1]. The same principle was used in the research [2] on Asian currencies, gold and oil. In his research, he detects the presence of chaos in the time series using the Lyapunov exponent and tries to predict these variables by adjusting the time series with the AIC algorithms (Akaike Information Criterion) and the CAO method, outperforming the autoregressive and assembly regression methods.