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Social media activity and sentiment can predict short-term cryptocurrency price movements, especially for smaller altcoins. This research highlights the influence of platforms like Twitter on cryptocurrency markets.

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Area of Science:

  • Behavioral economics
  • Computational finance
  • Social media analytics

Background:

  • Cryptocurrencies, particularly altcoins, have garnered significant media attention due to price volatility.
  • Existing research suggests a strong correlation between social media discourse and cryptocurrency price fluctuations.
  • Smaller altcoins, despite lower trading volumes, can experience substantial price shifts influenced by social media mentions.

Purpose of the Study:

  • To investigate the predictability of altcoin price fluctuations using social media data.
  • To quantify the relationship between social media activity, public sentiment, and cryptocurrency returns.
  • To establish a predictive model for short-term altcoin returns based on Twitter data.

Main Methods:

  • Collected a dataset of 426,520 tweets related to 181 altcoins over 71 days.
  • Utilized sentiment analysis to gauge public mood from the collected tweets.
  • Performed linear regression analyses using 45 days of historical data to predict altcoin returns.

Main Results:

  • Demonstrated that social media activity and sentiment are significant predictors of altcoin price fluctuations.
  • Confirmed that short-term returns of altcoins can be accurately forecasted using Twitter data.
  • Identified a quantifiable link between online discussion and market behavior for cryptocurrencies.

Conclusions:

  • Social media platforms, especially Twitter, play a crucial role in driving altcoin price volatility.
  • Sentiment analysis of social media provides a viable method for predicting short-term cryptocurrency market movements.
  • The findings have implications for investors, traders, and researchers interested in the dynamics of the cryptocurrency market.