Predicting Bitcoin Trends Through Machine Learning Using Sentiment Analysis with Technical Indicators

Predicting Bitcoin price trends is necessary because they represent the overall trend of cryptocurrency market. As history market short and volatility high, studies have been conducted on factors affecting changes in prices. Experiments to predict prices using Twitter content. However, amount data was limited, were predicted for only a period (less than two years). In this study, from Reddit LexisNexis, covering more four years, collected. These utilized estimate compare performance six machine learning techniques by adding technical sentiment indicators along with volume posts. An accuracy 90.57% an area under receiver operating characteristic curve value (AUC) 97.48% obtained extreme gradient boosting (XGBoost). It shown that use both index valence aware dictionary reasoner (VADER) 11 utilizing moving average, relative strength (RSI), stochastic oscillators predicting can produce significant results. Thus, input features used paper be applied prediction. Furthermore, approach allows investors make better decisions regarding Bitcoin-related investments.