  Cryptocurrencies have emerged as a novel financial asset garnering
significant attention in recent years. A defining characteristic of these
digital currencies is their pronounced short-term market volatility, primarily
influenced by widespread sentiment polarization, particularly on social media
platforms such as Twitter. Recent research has underscored the correlation
between sentiment expressed in various networks and the price dynamics of
cryptocurrencies. This study delves into the 15-minute impact of informative
tweets disseminated through foundation channels on trader behavior, with a
focus on potential outcomes related to sentiment polarization. The primary
objective is to identify factors that can predict positive price movements and
potentially be leveraged through a trading algorithm. To accomplish this
objective, we conduct a conditional examination of return and excess return
rates within the 15 minutes following tweet publication. The empirical findings
reveal statistically significant increases in return rates, particularly within
the initial three minutes following tweet publication. Notably, adverse effects
resulting from the messages were not observed. Surprisingly, sentiments were
found to have no discerni-ble impact on cryptocurrency price movements. Our
analysis further identifies that inves-tors are primarily influenced by the
quality of tweet content, as reflected in the choice of words and tweet volume.
While the basic trading algorithm presented in this study does yield some
benefits within the 15-minute timeframe, these benefits are not statistically
significant. Nevertheless, it serves as a foundational framework for potential
enhance-ments and further investigations.
