Algorithmic trading of cryptocurrency based on twitter sentiment analysis

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The goal of this study is to find a reliable and profitable model to predict the future direction of a crypto asset's price based on publicly available. This paper aims to prove whether Twitter data relating to cryptocurrencies can be utilized to develop advantageous crypto coin trading strategies. This study demonstrates the significant impact of market sentiment, derived from social media, on the daily price prediction of cryptocurrencies in both.