Twitter Impact on Bitcoin price

This study has as main goal to understand whether tweets have an impact on the price movements of Bitcoin and whether their analysis can be useful when forecasting these fluctuations. The models used in this study are the ones that traditionally perform better with similar use cases, such as Random Forest, XGBoost, AdaBoost, SVM, KNN, Bayesian Regression, and GBM. Furthermore, this analysis pretends to study the behavior of particularly active users in the respective social media in order to understand whether the information produced by them is accurate or even has the potential to forecast the fluctuations in the bitcoin price. The estimated findings of this study have the potential to provide knowledge to ongoing research on sentiment analysis of a wider range of financial instruments as well as Bitcoins.