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Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies
7 references·16 citing·43 second hop
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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2015What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis989 cited
  • 2013BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era859 cited
  • 2000A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu☆785 cited
  • 2014The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy466 cited
  • 2013“When perhaps the real problem is money itself!”: the practical materiality of Bitcoin465 cited
  • 2010Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives181 cited

Cited by

  • 2019Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning273 cited
  • 2018Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques253 cited
  • 2021Forecasting and trading cryptocurrencies with machine learning under changing market conditions240 cited
  • 2020A Gated Recurrent Unit Approach to Bitcoin Price Prediction230 cited
  • 2019A Comparative Study of Bitcoin Price Prediction Using Deep Learning213 cited
  • 2020Herding and Anchoring in Cryptocurrency Markets: Investor Reaction to Fear and Uncertainty

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199 cited
  • 2020Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach182 cited
  • 2021Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey179 cited
  • 2018A New Forecasting Framework for Bitcoin Price with LSTM175 cited
  • 2018Bitcoin technical trading with artificial neural network165 cited
  • 2018Cryptocurrency price drivers: Wavelet coherence analysis revisited147 cited
  • 2020An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning146 cited
  • 2017Predicting cryptocurrency price bubbles using social media data and epidemic modelling138 cited
  • 2019Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model129 cited
  • 2021Global cryptocurrency trend prediction using social media115 cited
  • 2017Volatility Analysis of Bitcoin Price Time Series110 cited