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Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations
12 references·7 citing·47 second hop
Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations (2021)Deep Learning-Based Cryptocurrency Price …Forecasting and trading cryptocurrencies with machine learning under changing market conditions (2021)Forecasting and trading crypt…Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic (2021)Cryptocurrency liquidity and …The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)The predictive power of publi…Stochastic Neural Networks for Cryptocurrency Price Prediction (2020)Stochastic Neural Networks fo…Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy (2020)Crude oil price and cryptocur…A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions (2020)A Deep Learning-based Cryptoc…“Small things matter most”: The spillover effects in the cryptocurrency market and gold as a silver bullet (2020)“Small things matter most”: T…Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system (2019)Prediction of the price of Et…Analysis of cryptocurrency’s characteristics in four perspectives (2019)Analysis of cryptocurrency’s …Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero (2018)Factors Influencing Cryptocur…Cryptocurrency: A New Investment Opportunity? (2017)Cryptocurrency: A New Investm…Bitcoin price prediction using ensembles of neural networks (2017)Bitcoin price prediction usin…On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)On Forecasting Cryptocurrency…A survey of deep learning applications in cryptocurrency (2023)A survey of deep learning app…Past, present, and future of the application of machine learning in cryptocurrency research (2022)Past, present, and future of …Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions (2022)Fusion in Cryptocurrency Pric…DL-GuesS : Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction (2022)DL-GuesS : Deep Learning and …Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit (2022)Cryptocurrency Price Predicti…A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data (2022)A Deep Learning-Based Cryptoc…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)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)Neural network ensemble strategies for financial decision applications (2004)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Real-time EEG-based emotion monitoring using stable features (2015)A LSTM-Method for Bitcoin Price Prediction: A Case Study Yahoo Finance Stock Market (2019)Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression (2017)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Design and implementation of construction cost prediction model based on SVM and LSSVM in industries 4.0 (2021)Financial applications of machine learning: A literature review (2023)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Hedging capabilities of bitcoin. 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(2020)A tale of two tails among carbon prices, green and non-green cryptocurrencies (2022)Extreme connectedness between renewable energy tokens and fossil fuel markets (2022)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19 (2020)The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments (2021)Random Walks in Stock Market Prices (1965)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Serial Order: A Parallel Distributed Processing Approach (1997)Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies (2022)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market (2020)The nexus between COVID-19 fear and stock market volatility (2021)An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis (2022)A Comparison between ARIMA, LSTM, and GRU for Time Series Forecasting (2019)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach (2023)The Extreme Value Method for Estimating the Variance of the Rate of Return (1980)Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? (2016)Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis (2022)Analysis of Bitcoin Price Prediction Using Machine Learning (2023)Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets (2023)Common Risk Factors in the Returns on Cryptocurrencies (2019)The effect of political and economic uncertainty on the cryptocurrency market (2020)Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)
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References

  • 2020The predictive power of public Twitter sentiment for forecasting cryptocurrency prices415 cited
  • 2017Cryptocurrency: A New Investment Opportunity?348 cited
  • 2020A Deep Learning-based Cryptocurrency Price Prediction Scheme for Financial Institutions283 cited
  • 2019Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system246 cited
  • 2018Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero246 cited
  • 2020Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy243 cited
  • 2021Forecasting and trading cryptocurrencies with machine learning under changing market conditions240 cited
  • 2020Stochastic Neural Networks for Cryptocurrency Price Prediction208 cited
  • 2017Bitcoin price prediction using ensembles of neural networks134 cited
  • 2020“Small things matter most”: The spillover effects in the cryptocurrency market and gold as a silver bullet126 cited
  • 2021Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic121 cited
  • 2019Analysis of cryptocurrency’s characteristics in four perspectives82 cited

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  • 2022A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data98 cited
  • 2023

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On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
94 cited
  • 2022DL-GuesS : Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction92 cited
  • 2022Past, present, and future of the application of machine learning in cryptocurrency research67 cited
  • 2022Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions54 cited
  • 2023A survey of deep learning applications in cryptocurrency53 cited
  • 2022Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit46 cited