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Using machine learning for cryptocurrency trading
4 references·1 citing·21 second hop
Using machine learning for cryptocurrency trading (2019)Using machine learning for cryptocurrency…Predictive Analysis of Cryptocurrency Price Using Deep Learning (2018)Predictive Analysis of Crypto…Cryptocurrency price drivers: Wavelet coherence analysis revisited (2018)Cryptocurrency price drivers:…Predicting cryptocurrency price bubbles using social media data and epidemic modelling (2017)Predicting cryptocurrency pri…101 Formulaic Alphas (2016)101 Formulaic AlphasAn automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach (2022)An automated cryptocurrency t…Manias, Panics, and Crashes: A History of Financial Crises (1979)Survey evidence on diffusion of interest and information among investors (1989)Twitter mood predicts the stock market (2011)Deep Learning Approach to Determine the Impact of Socio Economic Factors on Bitcoin Price Prediction (2019)Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model (2019)An index of cryptocurrency environmental attention (ICEA) (2022)EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?* (2009)Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)Improving the predictability of stock returns with Bitcoin prices (2018)Fractal dynamics and wavelet analysis: Deep volatility and return properties of Bitcoin, Ethereum and Ripple (2019)Dynamic interdependence of cryptocurrency markets: An analysis across time and frequency (2020)Designing a neural network for forecasting financial and economic time series (1996)Another look at measures of forecast accuracy (2006)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach (2020)Decision-making for financial trading: A fusion approach of machine learning and portfolio selection (2018)Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis (2018)Risks and Returns of Cryptocurrency (2020)All That Glitters Is Not Gold: Comparing Backtest and Out-of-Sample Performance on a Large Cohort of Trading Algorithms (2016)Attention enhanced long short-term memory network with multi-source heterogeneous information fusion: An application to BGI Genomics (2020)Reinforcement Learning for Quantitative Trading (2023)
this work references cited by second hop

References

  • 2018Cryptocurrency price drivers: Wavelet coherence analysis revisited147 cited
  • 2017Predicting cryptocurrency price bubbles using social media data and epidemic modelling138 cited
  • 2016101 Formulaic Alphas67 cited
  • 2018Predictive Analysis of Cryptocurrency Price Using Deep Learning31 cited

Cited by

  • 2022An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach31 cited

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