Sentiment Matters for Cryptocurrencies: Evidence from Tweets

This study provides empirical evidence that cryptocurrency market movements are influenced by sentiment extracted from social media. Using a high frequency dataset covering four major cryptocurrencies (Bitcoin, Ether, Litecoin, and Ripple) from October 2017 to September 2021, we apply state-of-the-a...

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Main Authors: Radu Lupu, Paul Cristian Donoiu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/10/4/50
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author Radu Lupu
Paul Cristian Donoiu
author_facet Radu Lupu
Paul Cristian Donoiu
author_sort Radu Lupu
collection DOAJ
description This study provides empirical evidence that cryptocurrency market movements are influenced by sentiment extracted from social media. Using a high frequency dataset covering four major cryptocurrencies (Bitcoin, Ether, Litecoin, and Ripple) from October 2017 to September 2021, we apply state-of-the-art natural language processing techniques on tweets from influential Twitter accounts. We classify sentiment into positive, negative, and neutral categories and analyze its effects on log returns, liquidity, and price jumps by examining market reactions around tweet occurrences. Our findings show that tweets significantly impact trading volume and liquidity: neutral sentiment tweets enhance liquidity consistently, negative sentiments prompt immediate volatility spikes, and positive sentiments exert a delayed yet lasting influence on the market. This highlights the critical role of social media sentiment in influencing intraday market dynamics and extends the research on sentiment-driven market efficiency.
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spelling doaj-art-fb074f82736346fea853ea24010356f82025-08-20T02:17:25ZengMDPI AGData2306-57292025-04-011045010.3390/data10040050Sentiment Matters for Cryptocurrencies: Evidence from TweetsRadu Lupu0Paul Cristian Donoiu1Department of International Business and Economics, The Bucharest University of Economic Studies, 010374 București, RomaniaDepartment of International Business and Economics, The Bucharest University of Economic Studies, 010374 București, RomaniaThis study provides empirical evidence that cryptocurrency market movements are influenced by sentiment extracted from social media. Using a high frequency dataset covering four major cryptocurrencies (Bitcoin, Ether, Litecoin, and Ripple) from October 2017 to September 2021, we apply state-of-the-art natural language processing techniques on tweets from influential Twitter accounts. We classify sentiment into positive, negative, and neutral categories and analyze its effects on log returns, liquidity, and price jumps by examining market reactions around tweet occurrences. Our findings show that tweets significantly impact trading volume and liquidity: neutral sentiment tweets enhance liquidity consistently, negative sentiments prompt immediate volatility spikes, and positive sentiments exert a delayed yet lasting influence on the market. This highlights the critical role of social media sentiment in influencing intraday market dynamics and extends the research on sentiment-driven market efficiency.https://www.mdpi.com/2306-5729/10/4/50cryptocurrenciessentimentTwitterliquidity
spellingShingle Radu Lupu
Paul Cristian Donoiu
Sentiment Matters for Cryptocurrencies: Evidence from Tweets
Data
cryptocurrencies
sentiment
Twitter
liquidity
title Sentiment Matters for Cryptocurrencies: Evidence from Tweets
title_full Sentiment Matters for Cryptocurrencies: Evidence from Tweets
title_fullStr Sentiment Matters for Cryptocurrencies: Evidence from Tweets
title_full_unstemmed Sentiment Matters for Cryptocurrencies: Evidence from Tweets
title_short Sentiment Matters for Cryptocurrencies: Evidence from Tweets
title_sort sentiment matters for cryptocurrencies evidence from tweets
topic cryptocurrencies
sentiment
Twitter
liquidity
url https://www.mdpi.com/2306-5729/10/4/50
work_keys_str_mv AT radulupu sentimentmattersforcryptocurrenciesevidencefromtweets
AT paulcristiandonoiu sentimentmattersforcryptocurrenciesevidencefromtweets