Table 10 Datasets (2/3): Sentiment-based data
Research source | Description | Currency | Time range | Usage | Data sources |
|---|---|---|---|---|---|
Kim et al. (2016) | Online cryptocurrency communities data and market data | Bitcoin,Ethereum, Ripple | From: December 2013 To: August, 2016 (Bitcoin) From: August 2015 To: August, 2016 (Ethereum) From: Creation To: August, 2016 (Ripple) | Prediction of fluctuation | Each community’s HTML page |
Phillips and Gorse (2018) | Social media data and orice data | Bitcoin and Ethereum | From: 2016/08/30 To: 2017/08/30 | Predict Mutual-Excitation of Cryptocurrency Market Returns | |
Smuts (2019) | Hourly data on price and trading volume and search terms from Google Trends | Bitcoin, Ethereum and their respective pricedrivers | From: 2017/12/01 To: 2018/06/30 | Prediction of price | Google Trends, Telegram chat groups |
Lamon et al. (2017) | Daily price data and cryptocurrency related news article headlines | Bitcoin, Ethereum, Litecoin | From: 2017/01/01 To: 2017/11/30 | Prediction of price | Kaggle, news headline |
Phillips and Gorse (2018)) | Price and social media factors from Reddit | Bitcoin, Ethereum, Monero | From: 2010/09/10 To: 2017/05/31 (Bitcoin) Others can reference the paper | Waveletcoherence analysis of price | BraveNewCoin |
Kang et al. (2019) | Market data and posts and comments including metadata | Bitcoin | From: 2009/11/22 To: 2018/02/02 | Relationships Between Bitcoin Prices and User Groups in Online Community | Bitcoin forum |