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The predictive power of public Twitter sentiment for forecasting cryptocurrency prices

Citations

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Cited by:

  1. Frederic Haase & Tom Celig & Oliver Rath & Detlef Schoder, 2025. "Wisdom of the crowd signals: Predictive power of social media trading signals for cryptocurrencies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-23, December.
  2. Lee, Kangsan & Jeong, Daeyoung, 2023. "Too much is too bad: The effect of media coverage on the price volatility of cryptocurrencies," Journal of International Money and Finance, Elsevier, vol. 133(C).
  3. Mercik, Aleksander & Słoński, Tomasz & Karaś, Marta, 2024. "Understanding crypto-asset exposure: An investigation of its impact on performance and stock sensitivity among listed companies," International Review of Financial Analysis, Elsevier, vol. 92(C).
  4. Bouteska, Ahmed & Mefteh-Wali, Salma & Dang, Trung, 2022. "Predictive power of investor sentiment for Bitcoin returns: Evidence from COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  5. Li, Scott & Ma, Judy, 2024. "The impact of sentiment and engagement of Twitter posts on cryptocurrency price movement," Finance Research Letters, Elsevier, vol. 65(C).
  6. Zdravka Aljinović & Branka Marasović & Tea Šestanović, 2021. "Cryptocurrency Portfolio Selection—A Multicriteria Approach," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
  7. Liu, Jian & Julaiti, Jiansuer & Gou, Shangde, 2024. "Decomposing interconnectedness: A study of cryptocurrency spillover effects in global financial markets," Finance Research Letters, Elsevier, vol. 61(C).
  8. Xia, Yufei & Sang, Chong & He, Lingyun & Wang, Ziyao, 2023. "The role of uncertainty index in forecasting volatility of Bitcoin: Fresh evidence from GARCH-MIDAS approach," Finance Research Letters, Elsevier, vol. 52(C).
  9. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
  10. Pengcheng Zhang & Kunpeng Xu & Jian Huang & Jiayin Qi, 2024. "Investor sentiment and the holiday effect in the cryptocurrency market: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-36, December.
  11. Bui, Mai & Pham, Huy & Nguyen Thanh, Binh & Tiwari, Aviral Kumar, 2024. "Revisiting the determinants of cryptocurrency excess return: Does scarcity matter?," International Review of Economics & Finance, Elsevier, vol. 96(PC).
  12. Man-Fai Leung & Lewis Chan & Wai-Chak Hung & Siu-Fung Tsoi & Chun-Hin Lam & Yiu-Hang Cheng, 2023. "An Intelligent System for Trading Signal of Cryptocurrency Based on Market Tweets Sentiments," FinTech, MDPI, vol. 2(1), pages 1-17, March.
  13. Kamyr Gomes Souza & Flavio Barboza & Daniel Vitor Tartari Garruti, 2024. "A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2355-2383, October.
  14. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
  15. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
  16. Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Corbet, Shaen, 2025. "News sentiment and DeFi coin returns: An empirical analysis," International Review of Economics & Finance, Elsevier, vol. 103(C).
  17. Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Explaining cryptocurrency returns: A prospect theory perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
  18. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
  19. Qing Liu & Hosung Son, 2025. "Text Sentiment Mining used for Constructing Investor Sentiment in Social Media: Survey and Recommendations," SAGE Open, , vol. 15(1), pages 21582440251, March.
  20. Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).
  21. Quechen Yang, 2024. "Blending Ensemble for Classification with Genetic-algorithm generated Alpha factors and Sentiments (GAS)," Papers 2411.03035, arXiv.org.
  22. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 307-317.
  23. Samet Gunay & Emrah Ismail Cevik & Mehmet Fatih Bugan & Sel Dibooglu & Mehmet Akif Destek, 2025. "Time and frequency domain relationship between investor sentiment and sectoral cryptocurrencies," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-32, June.
  24. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Do Cryptocurrency Prices Camouflage Latent Economic Effects? A Bayesian Hidden Markov Approach," Future Internet, MDPI, vol. 12(3), pages 1-19, March.
  25. Ante, Lennart, 2023. "How Elon Musk's Twitter activity moves cryptocurrency markets," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  26. Perez Riaza, Baptiste & Gnabo, Jean-Yves, 2023. "Decentralized Autonomous Organizations (DAOs): Catalysts for enhanced market efficiency," Finance Research Letters, Elsevier, vol. 58(PB).
  27. Jacques Vella Critien & Albert Gatt & Joshua Ellul, 2022. "Bitcoin price change and trend prediction through twitter sentiment and data volume," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
  28. He, Mengxi & Shen, Lihua & Zhang, Yaojie & Zhang, Yi, 2023. "Predicting cryptocurrency returns for real-world investments: A daily updated and accessible predictor," Finance Research Letters, Elsevier, vol. 58(PA).
  29. Bouri, Elie & Christou, Christina & Gupta, Rangan, 2022. "Forecasting returns of major cryptocurrencies: Evidence from regime-switching factor models," Finance Research Letters, Elsevier, vol. 49(C).
  30. Koch, Sophia & Dimpfl, Thomas, 2023. "Attention and retail investor herding in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
  31. George Vlahavas & Athena Vakali, 2024. "Dynamics between Bitcoin Market Trends and Social Media Activity," FinTech, MDPI, vol. 3(3), pages 1-30, July.
  32. Chenghao Liu & Aniket Mahanti & Ranesh Naha & Guanghao Wang & Erwann Sbai, 2025. "Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features," Papers 2508.15825, arXiv.org, revised Aug 2025.
  33. Marmora, Paul, 2026. "Hiding in plain sight: Detecting underground sportsbooks through local Bitcoin demand," Journal of International Money and Finance, Elsevier, vol. 161(C).
  34. Rasivisuth, Pornpanit & Fiaschetti, Maurizio & Medda, Francesca, 2024. "An investigation of sentiment analysis of information disclosure during Initial Coin Offering (ICO) on the token return," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  35. Balietti, Stefano & Celebi, Can & Tercero-Lucas, David, 2025. "From crypto to NFTs: Identifying the new wave of digital investors," International Review of Financial Analysis, Elsevier, vol. 104(PA).
  36. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  37. Zaremba, Adam & Bilgin, Mehmet Huseyin & Long, Huaigang & Mercik, Aleksander & Szczygielski, Jan J., 2021. "Up or down? Short-term reversal, momentum, and liquidity effects in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 78(C).
  38. Tristan Lim, 2022. "Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learning," Papers 2211.01346, arXiv.org, revised Jan 2023.
  39. M’bakob, Gilles Brice & Mandeng ma Ntamack, Jules & Mfouapon, Georges Kriyoss, 2025. "Anticipated psychological spreads: Cryptocurrencies’ hidden short-term monitors and implications for price forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 104(C).
  40. Vito Ciciretti & Alberto Pallotta & Suman Lodh & P. K. Senyo & Monomita Nandy, 2025. "Forecasting Digital Asset Return: An Application of Machine Learning Model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 3169-3186, July.
  41. Milos Ciganovic & Federico D’Amario, 2024. "Forecasting cryptocurrencies log-returns: a LASSO-VAR and sentiment approach," Applied Economics, Taylor & Francis Journals, vol. 56(58), pages 8112-8138, December.
  42. Xian Zhuo & Felix Irresberger & Denefa Bostandzic, 2024. "How are texts analyzed in blockchain research? A systematic literature review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
  43. Yousaf, Imran & Abrar, Afsheen & Yousaf, Umair Bin & Goodell, John W., 2024. "Environmental attention and uncertainties of cryptocurrency market: Examining linkages with crypto-mining stocks," Finance Research Letters, Elsevier, vol. 59(C).
  44. Sun, Xiaotong & Stasinakis, Charalampos & Sermpinis, Georgios, 2024. "Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls," Journal of Financial Stability, Elsevier, vol. 73(C).
  45. Efstathios Polyzos & Ghulame Rubbaniy & Mieszko Mazur, 2024. "Efficient Market Hypothesis on the blockchain: A social‐media‐based index for cryptocurrency efficiency," The Financial Review, Eastern Finance Association, vol. 59(3), pages 807-829, August.
  46. Gianna Figà-Talamanca & Marco Patacca, 2024. "An explorative analysis of sentiment impact on S&P 500 components returns, volatility and downside risk," Annals of Operations Research, Springer, vol. 342(3), pages 2095-2117, November.
  47. Ramit Sawhney & Shivam Agarwal & Vivek Mittal & Paolo Rosso & Vikram Nanda & Sudheer Chava, 2022. "Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models," Papers 2206.06320, arXiv.org.
  48. Meyer, Eva Andrea & Welpe, Isabell M. & Sandner, Philipp, 2024. "Testing the credibility of crypto influencers: An event study on Bitcoin," Finance Research Letters, Elsevier, vol. 60(C).
  49. Yihang Fu & Mingyu Zhou & Luyao Zhang, 2024. "DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting," Papers 2405.00522, arXiv.org.
  50. Wen Long & Man Guo, 2025. "Social media and capital markets: an interdisciplinary bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-32, December.
  51. A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
  52. Andrew Phiri, 2022. "Can wavelets produce a clearer picture of weak-form market efficiency in Bitcoin?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 373-386, September.
  53. Cavallaro, Matteo & Mathieu, Alban, 2024. "Beyond the veil: Mapping cryptocurrencies' ecosystem," International Review of Financial Analysis, Elsevier, vol. 94(C).
  54. Syed Abul, Basher & Perry, Sadorsky, 2022. "Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?," MPRA Paper 113293, University Library of Munich, Germany.
  55. Yunchuan Sun & Lu Liu & Ying Xu & Xiaoping Zeng & Yufeng Shi & Haifeng Hu & Jie Jiang & Ajith Abraham, 2024. "Alternative data in finance and business: emerging applications and theory analysis (review)," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
  56. Lu Zhang & Lei Hua, 2025. "Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions," Mathematics, MDPI, vol. 13(3), pages 1-40, January.
  57. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
  58. repec:bcp:journl:v:8:y:2024:i:9:p:1114-1131 is not listed on IDEAS
  59. Mateusz Skwarek, 2025. "Why Do Investors Behave Irrationally in the Cryptocurrency and Emerging Stock Markets?," SAGE Open, , vol. 15(3), pages 21582440251, July.
  60. Gerritsen, Dirk F. & Lugtigheid, Rick A.C. & Walther, Thomas, 2022. "Can Bitcoin Investors Profit from Predictions by Crypto Experts?," Finance Research Letters, Elsevier, vol. 46(PA).
  61. Zhang, Guangyue & Sannella, Alexander & Brennan, Gerard & Talha Afzal, Muhammad, 2024. "Fair value estimates for illiquid cryptocurrency," International Journal of Accounting Information Systems, Elsevier, vol. 54(C).
  62. Horky, Florian & Dubbick, Lili & Rhein, Franziska & Fidrmuc, Jarko, 2023. "Don't miss out on NFTs?! A sentiment-based analysis of the early NFT market," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 799-814.
  63. Demir, Ender & Simonyan, Serdar & García-Gómez, Conrado-Diego & Lau, Chi Keung Marco, 2021. "The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model," Finance Research Letters, Elsevier, vol. 40(C).
  64. Qing Liu & Hosung Son, 2024. "Methods for aggregating investor sentiment from social media," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
  65. Suwan (Cheng) Long & Ioannis Chatziantoniou & David Gabauer & Brian Lucey, 2024. "Do social media sentiments drive cryptocurrency intraday price volatility? New evidence from asymmetric TVP-VAR frequency connectedness measures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(13), pages 1470-1489, September.
  66. Wu, Qinqin & Zhuang, Qinqin & Liu, Yitong & Han, Longyan, 2024. "Technology shock of ChatGPT, social attention and firm value: Evidence from China," Technology in Society, Elsevier, vol. 79(C).
  67. Ko, Hyungjin & Byun, Junyoung & Lee, Jaewook, 2023. "A privacy-preserving robo-advisory system with the Black-Litterman portfolio model: A new framework and insights into investor behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
  68. Yanzhen Yu & Rui Zhou & Rongchuan Jiang & Feng Liu, 2025. "Exploring the role of social bots in cryptocurrency manipulation: Machine learning insights from the LUNA crash," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-17, December.
  69. Cole, Benjamin M. & Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2022. "Can Bitcoin be Trusted? Quantifying the economic value of blockchain transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
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  82. N. L. Balasudarsun & Bikramaditya Ghosh & Sathish Mahendran, 2022. "Impact of Negative Tweets on Diverse Assets during Stressful Events: An Investigation through Time-Varying Connectedness," JRFM, MDPI, vol. 15(6), pages 1-12, June.
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  116. Ardia, David & Bluteau, Keven, 2024. "Twitter and cryptocurrency pump-and-dumps," International Review of Financial Analysis, Elsevier, vol. 95(PB).
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  118. Voraprapa Nakavachara & Roongkiat Ratanabanchuen & Kanis Saengchote & Thitiphong Amonthumniyom & Pongsathon Parinyavuttichai & Polpatt Vinaibodee, 2023. "Do People Gamble or Invest in the Cryptocurrency Market? Transactional-Level Evidence from Thailand," PIER Discussion Papers 206, Puey Ungphakorn Institute for Economic Research, revised Feb 2024.
  119. Toan Luu Duc Huynh, 2023. "When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 639-661, August.
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