Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data

Author:

Akbiyik M. Eren1ORCID,Erkul Mert1ORCID,Kämpf Killian1ORCID,Vasiliauskaite Vaiva1ORCID,Antulov-Fantulin Nino1ORCID

Affiliation:

1. ETH Zurich, Zurich, Switzerland

Funder

European Union - Horizon 2020 Program

Publisher

ACM

Reference59 articles.

1. Michel Rauchs and Garrick Hileman . Global Cryptocurrency Benchmarking Study . Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge , 2017 . Michel Rauchs and Garrick Hileman. Global Cryptocurrency Benchmarking Study. Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge, 2017.

2. Triple- A. Crypto ownership table , 2020 . Triple-A. Crypto ownership table, 2020.

3. Correlating S&P 500 stocks with Twitter data

4. Svitlana Galeshchuk , O. Vasylchyshyn , and Andriy Krysovatyy . Bitcoin response to Twitter sentiments . In ICTERI Workshops , 2018 . Svitlana Galeshchuk, O. Vasylchyshyn, and Andriy Krysovatyy. Bitcoin response to Twitter sentiments. In ICTERI Workshops, 2018.

5. An advanced CNN-LSTM model for cryptocurrency forecasting;Livieris Ioannis;Electronics,2021

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