Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility
Author:
Affiliation:
1. Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany
2. University of Koblenz, Koblenz, Germany
3. Soochow University, Suzhou, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583780.3614790
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1. Overnight Returns and Firm-Specific Investor Sentiment
2. Cryptocurrency price prediction using tweet volumes and sentiment analysis;Abraham Jethin;SMU Data Science Review,2018
3. Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data
4. Using machine learning ARIMA to predict the price of cryptocurrencies;Alahmari Saad Ali;The ISC International Journal of Information Security,2019
5. A Performance Comparison of Statistical and Machine Learning Techniques in Learning Time Series Data
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