Algorithmic Trading of Cryptocurrency Based on Twitter Sentiment Analysis

By Stuart G. Colianni, S. Rosales, Michael Signorotti. 2015

87 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Thomas G. Fischer
2. Alexander Deinert
3. Christopher Krauss
4. David Martínez-Rego
5. Carmine Ventre
6. Leslie Kanthan
7. Lingbo Li
8. Fan Wu

Citations in the corpus

• Statistical Arbitrage in Cryptocurrency Markets (2019, background): “Colianni et al. (2015) explore the predictive information potentially comprised in Twitter data.”
• Cryptocurrency trading: a comprehensive survey (2020, methodology): “[199] cleaned data and applied supervised machine learning algorithms”