This project is aimed at analyzing and predicting Bitcoin price fluctuation using Natural Language Processing on Twitter data and subsequently applying VADER sentiment analysis.
Implemented OLS regression between bitcoin price and compound sentiment score to conclude no dependency between tweets & price
Detected the correlation between S&P500 Index movement and bitcoin price movement using autoregression integrated moving average