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Anticipating Cryptocurrency Prices Using Machine Learning
13 references·16 citing·53 second hop
Anticipating Cryptocurrency Prices Using Machine Learning (2018)Anticipating Cryptocurrency Prices Using …What Causes the Attention of Bitcoin? (2018)What Causes the Attention of …Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Cryptocurrency portfolio management with deep reinforcement learning (2017)Cryptocurrency portfolio mana…An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An Empirical Study on Modelin…The Macroeconomics of Central Bank Issued Digital Currencies (2016)The Macroeconomics of Central…What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (2015)What Are the Main Drivers of …Social signals and algorithmic trading of Bitcoin (2015)Social signals and algorithmi…The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)The digital traces of bubbles…Quantifying Wikipedia Usage Patterns Before Stock Market Moves (2013)Quantifying Wikipedia Usage P…BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (2013)BitCoin meets Google Trends a…The use of data mining and neural networks for forecasting stock market returns (2005)The use of data mining and ne…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Simple Technical Trading Rule…Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants (2023)Machine learning approaches t…Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis (2023)Examining the research taxono…Deep learning in predicting cryptocurrency volatility (2022)Deep learning in predicting c…Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies (2022)Algorithmic Trading and Finan…A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data (2022)A Deep Learning-Based Cryptoc…Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)Investing with cryptocurrenci…Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Cryptocurrency price predicti…Time series analysis of Cryptocurrency returns and volatilities (2020)Time series analysis of Crypt…Stochastic Neural Networks for Cryptocurrency Price Prediction (2020)Stochastic Neural Networks fo…Forecasting of Cryptocurrency Prices Using Machine Learning (2020)Forecasting of Cryptocurrency…Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities (2020)Cryptocurrencies and Artifici…CNN-based multivariate data analysis for bitcoin trend prediction (2020)CNN-based multivariate data a…An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning (2020)An approach to predict and fo…Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model (2019)Sentiment-Based Prediction of…Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market (2019)Clustering patterns in effici…A Comparative Study of Bitcoin Price Prediction Using Deep Learning (2019)A Comparative Study of Bitcoi…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Business conditions and expected returns on stocks and bonds (1989)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Forecasting daily stock market return using dimensionality reduction (2016)Systematic analysis and review of stock market prediction techniques (2019)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? 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References

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  • 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
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2014The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy466 cited
  • 2005The use of data mining and neural networks for forecasting stock market returns465 cited
  • 2017An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information458 cited
  • 2018What Causes the Attention of Bitcoin?389 cited
  • 2016The Macroeconomics of Central Bank Issued Digital Currencies336 cited
  • 2013Quantifying Wikipedia Usage Patterns Before Stock Market Moves318 cited
  • 2017Cryptocurrency portfolio management with deep reinforcement learning298 cited
  • 2015Social signals and algorithmic trading of Bitcoin207 cited

Cited by

  • 2019A Comparative Study of Bitcoin Price Prediction Using Deep Learning

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213 cited
  • 2020Stochastic Neural Networks for Cryptocurrency Price Prediction208 cited
  • 2021Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey179 cited
  • 2020An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning146 cited
  • 2019Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model129 cited
  • 2021Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies118 cited
  • 2020CNN-based multivariate data analysis for bitcoin trend prediction118 cited
  • 2019Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market106 cited
  • 2022Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies101 cited
  • 2022A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data98 cited
  • 2022Deep learning in predicting cryptocurrency volatility85 cited
  • 2023Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis83 cited
  • 2020Forecasting of Cryptocurrency Prices Using Machine Learning77 cited
  • 2023Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants75 cited
  • 2020Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities73 cited
  • 2020Time series analysis of Cryptocurrency returns and volatilities72 cited