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MLP-based Learnable Window Size for Bitcoin price prediction
16 references·3 citing·46 second hop
MLP-based Learnable Window Size for Bitcoin price prediction (2022)MLP-based Learnable Window Size for Bitco…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Cryptocurrency price predicti…Bitcoin: An inflation hedge but not a safe haven (2021)Bitcoin: An inflation hedge b…Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach (2020)Time-series forecasting of Bi…Stochastic Neural Networks for Cryptocurrency Price Prediction (2020)Stochastic Neural Networks fo…Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants (2020)Machine learning model for Bi…Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)Bitcoin price prediction usin…Cryptocurrency forecasting with deep learning chaotic neural networks (2018)Cryptocurrency forecasting wi…A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis (2018)A hybrid volatility forecasti…The inefficiency of Bitcoin revisited: A dynamic approach (2017)The inefficiency of Bitcoin r…Long-range correlations and asymmetry in the Bitcoin market (2017)Long-range correlations and a…Informational efficiency of Bitcoin—An extension (2017)Informational efficiency of B…Forecasting price movements using technical indicators: Investigating the impact of varying input window length (2017)Forecasting price movements u…Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Bitcoin, gold and the dollar …Synthetic commodity money (2014)Synthetic commodity moneyTime Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Centralized decomposition approach in LSTM for Bitcoin price prediction (2023)Centralized decomposition app…A new supply chain design to solve supplier selection based on internet of things and delivery reliability (2023)A new supply chain design to …A K-means clustering model for analyzing the Bitcoin extreme value returns (2022)A K-means clustering model fo…Théorie de la spéculation (1900)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A new look at Cryptocurrencies (2017)What Causes the Attention of Bitcoin? (2018)AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)Effects of the geopolitical risks on Bitcoin returns and volatility (2018)Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets (2018)Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios (2019)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A long memory property of stock market returns and a new model (1993)Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Sentiment analysis on social media for stock movement prediction (2015)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)Forecasting and trading cryptocurrencies with machine learning under changing market conditions (2021)Quantile connectedness in the cryptocurrency market (2021)BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (2013)What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (2015)A Gated Recurrent Unit Approach to Bitcoin Price Prediction (2020)A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms (2021)A Stochastic Approximation Method (1951)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning for financial applications : A survey (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Financial time series forecasting with multi-modality graph neural network (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)Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations (2021)A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data (2022)Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies (2022)The General Theory of Employment, Interest and Money. (1936)The General Theory of Employment, Interest and Money. (1936)Rules Rather than Discretion: The Inconsistency of Optimal Plans (1977)Does gold or Bitcoin hedge economic policy uncertainty? (2019)Information interdependence among energy, cryptocurrency and major commodity markets (2019)The Inefficiency of Bitcoin (2016)Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)
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References

  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 2015Bitcoin, gold and the dollar – A GARCH volatility analysis1,552 cited
  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2017The inefficiency of Bitcoin revisited: A dynamic approach615 cited
  • 2019Bitcoin price prediction using machine learning: An approach to sample dimension engineering420 cited
  • 2018Cryptocurrency forecasting with deep learning chaotic neural networks376 cited
  • 2017Informational efficiency of Bitcoin—An extension365 cited
  • 2014Synthetic commodity money321 cited
  • 2018A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis226 cited
  • 2020Stochastic Neural Networks for Cryptocurrency Price Prediction208 cited
  • 2020Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants205 cited
  • 2017Forecasting price movements using technical indicators: Investigating the impact of varying input window length190 cited
  • 2020Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach182 cited
  • 2021Bitcoin: An inflation hedge but not a safe haven

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182 cited
  • 2021Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey179 cited
  • 2017Long-range correlations and asymmetry in the Bitcoin market175 cited
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    • 2022A K-means clustering model for analyzing the Bitcoin extreme value returns32 cited