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Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques
3 references·1 citing·21 second hop
Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques (2019)Prediction of Cryptocurrency Price Dynami…Risks and Returns of Cryptocurrency (2018)Risks and Returns of Cryptocu…Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators (2018)Non-linear Autoregressive wit…Bayesian regression and Bitcoin (2014)Bayesian regression and Bitco…An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach (2022)An automated cryptocurrency t…Stock Market Prediction Using Artificial Neural Networks (2012)Stock Price Prediction Using the ARIMA Model (2014)A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis (2018)An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting (2019)Cryptocurrency Price Analysis with Artificial Intelligence (2019)Common risk factors in the returns on stocks and bonds (1993)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)On Persistence in Mutual Fund Performance (1997)The Pricing and Performance of Cryptocurrency (2019)The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments (2021)Token-based platform finance (2021)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)The Sharpe Ratio (1994)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)A New Forecasting Framework for Bitcoin Price with LSTM (2018)Machine Learning Models Comparison for Bitcoin Price Prediction (2018)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)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)
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References

  • 2018Risks and Returns of Cryptocurrency205 cited
  • 2014Bayesian regression and Bitcoin179 cited
  • 2018Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators93 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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