SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Bitcoin technical trading with artificial neural network
16 references·16 citing·46 second hopsampled
Bitcoin technical trading with artificial neural network (2018)Bitcoin technical trading with artificial…Predicting mortgage default using convolutional neural networks (2018)Predicting mortgage default u…The inefficiency of Bitcoin revisited: A dynamic approach (2017)The inefficiency of Bitcoin r…The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression (2017)The best of two worlds: Forec…Some stylized facts of the Bitcoin market (2017)Some stylized facts of the Bi…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Cryptocurrency: A New Investment Opportunity? (2017)Cryptocurrency: A New Investm…Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies (2016)Predicting Fluctuations in Cr…Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016)Bridging the divide in financ…Virtual currency, tangible return: Portfolio diversification with bitcoin (2015)Virtual currency, tangible re…Evaluating multiple classifiers for stock price direction prediction (2015)Evaluating multiple classifie…Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Bitcoin, gold and the dollar …Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Applying Artificial Neural Ne…Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Using support vector machine …Chapter 15 Anomalies and market efficiency (2003)Chapter 15 Anomalies and mark…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …Explainable artificial intelligence modeling to forecast bitcoin prices (2023)Explainable artificial intell…Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods (2023)Cryptocurrency price forecast…Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)Performance evaluation of dee…Past, present, and future of the application of machine learning in cryptocurrency research (2022)Past, present, and future of …Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility? (2022)Forecasting Bitcoin Price Dir…Stacking hybrid GARCH models for forecasting Bitcoin volatility (2021)Stacking hybrid GARCH models …Forecasting mid-price movement of Bitcoin futures using machine learning (2021)Forecasting mid-price movemen…Forecasting Bitcoin with technical analysis: A not-so-random forest? (2021)Forecasting Bitcoin with tech…Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators (2021)Feature selection and deep ne…Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network (2020)Forecasting Stock Prices Usin…Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods (2020)Ensemble of machine learning …Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series (2020)Ensemble Deep Learning Models…Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities (2020)Cryptocurrencies and Artifici…A novel validation framework to enhance deep learning models in time-series forecasting (2020)A novel validation framework …Non-fundamental, non-parametric Bitcoin forecasting (2019)Non-fundamental, non-parametr…Computational approaches and data analytics in financial services: A literature review (2019)Computational approaches and …CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Striking oil: Another puzzle? (2008)Limits of Arbitrage (2010)Have capital market anomalies attenuated in the recent era of high liquidity and trading activity? (2014)DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES (1956)Portfolio Selection: Efficient Diversification of Investments (1959)Dividend Policy, Growth, and the Valuation of Shares (1961)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)A systematic review of fundamental and technical analysis of stock market predictions (2019)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Dividend yields and expected stock returns (1988)Time-varying long-term memory in Bitcoin market (2017)Cryptocurrency reaction to FOMC Announcements: Evidence of heterogeneity based on blockchain stack position (2019)Multiscale characteristics of the emerging global cryptocurrency market (2020)Risk, Return, and Equilibrium: Empirical Tests (1973)Dynamic Conditional Correlation (2002)Volatility co-movement between Bitcoin and Ether (2018)High frequency volatility co-movements in cryptocurrency markets (2019)A systematic literature review of investor behavior in the cryptocurrency markets (2023)Théorie de la spéculation (1900)A new look at Cryptocurrencies (2017)Informational efficiency of Bitcoin—An extension (2017)What Causes the Attention of Bitcoin? (2018)COMMON STOCKS AS A HEDGE AGAINST INFLATION (1976)Long-Term Global Market Correlations (2001)Buying Beauty: On Prices and Returns in the Art Market (2012)Predicting the Price of Bitcoin Using Machine Learning (2018)RETRACTED: Is Bitcoin a better safe-haven investment than gold and commodities? (2019)Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis (2020)A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Literature review: Machine learning techniques applied to financial market prediction (2019)The Inefficiency of Bitcoin (2016)Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! The challenges and opportunities of Social Media (2009)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2015Bitcoin, gold and the dollar – A GARCH volatility analysis1,552 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2015Virtual currency, tangible return: Portfolio diversification with bitcoin704 cited
  • 2017The inefficiency of Bitcoin revisited: A dynamic approach615 cited
  • 2015Evaluating multiple classifiers for stock price direction prediction597 cited
  • 2003Chapter 15 Anomalies and market efficiency503 cited
  • 2017Some stylized facts of the Bitcoin market449 cited
  • 2017Cryptocurrency: A New Investment Opportunity?348 cited
  • 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
  • 2016Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies286 cited
  • 2017The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression257 cited
  • 2013Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

220 cited
  • 2016Bridging the divide in financial market forecasting: machine learners vs. financial economists195 cited
  • 2018Predicting mortgage default using convolutional neural networks181 cited
  • Cited by

    • 2020Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series148 cited
    • 2022Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction119 cited
    • 2020Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network111 cited
    • 2022Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility?107 cited
    • 2023Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods91 cited
    • 2021Forecasting mid-price movement of Bitcoin futures using machine learning84 cited
    • 2020A novel validation framework to enhance deep learning models in time-series forecasting82 cited
    • 2023Explainable artificial intelligence modeling to forecast bitcoin prices82 cited
    • 2021Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators80 cited
    • 2020Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods77 cited
    • 2020Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities73 cited
    • 2019Non-fundamental, non-parametric Bitcoin forecasting71 cited
    • 2019Computational approaches and data analytics in financial services: A literature review67 cited
    • 2021Stacking hybrid GARCH models for forecasting Bitcoin volatility67 cited
    • 2022Past, present, and future of the application of machine learning in cryptocurrency research67 cited
    • 2021Forecasting Bitcoin with technical analysis: A not-so-random forest?66 cited