Price Prediction of Bitcoins

Abstract

In this project, we made the decision to better accurately forecast the price of bitcoin by taking into account several factors that influence its value. Our goal for this phase of the inquiry is to comprehend and identify daily market patterns for bitcoins while gaining insight into the best conditions for the price of bitcoin. Our data set includes a number of characteristics related to the price of the bitcoin over a five-year time period, daily data. With the data at our disposal, we will use the second phase of our inquiry to most accurately estimate the direction of the daily price change. So, being aware of how tweets change price direction quickly may give bitcoin users or traders a buying or selling advantage. number of tweets, not mood (which is usually largely positive regardless of price direction), was found to be a superior predictor of price direction when price direction was inferred from analysis of tweets on Twitter. The logic that will be employed for the retrieval of results will make use of numerous machines learning algorithms, including RNN with LSTM model.