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Cryptocurrency Price Prediction Using Frequency Decomposition and Deep Learning
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Cryptocurrency Price Prediction Using Frequency Decomposition and Deep Learning (2023)Cryptocurrency Price Prediction Using Fre…Carbon price forecasting based on CEEMDAN and LSTM (2022)Carbon price forecasting base…A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)A hybrid model for carbon pri…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Multiscale characteristics of the emerging global cryptocurrency market (2020)Multiscale characteristics of…Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis (2020)Bitcoin, gold, and commoditie…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…A Gated Recurrent Unit Approach to Bitcoin Price Prediction (2020)A Gated Recurrent Unit Approa…Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Non-ferrous metals price fore…Volatility and return jumps in bitcoin (2018)Volatility and return jumps i…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Improved EEMD-based crude oil price forecasting using LSTM networks (2018)Improved EEMD-based crude oil…Financial time series forecasting model based on CEEMDAN and LSTM (2018)Financial time series forecas…Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Exploring the Dynamic Relatio…Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)Speculative bubbles in Bitcoi…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…Multiscale characteristics of the emerging global cryptocurrency marketMultiscale characteristics of…Time Series Analysis Forecasting and Control. 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References

  • 2015Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin1,473 cited
  • 2017Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets1,425 cited
  • 2018Financial time series forecasting model based on CEEMDAN and LSTM718 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm706 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning702 cited
  • 2020Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis524 cited
  • 2022Carbon price forecasting based on CEEMDAN and LSTM438 cited
  • 2020Stock price prediction using deep learning and frequency decomposition398 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network328 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2020Multiscale characteristics of the emerging global cryptocurrency market241 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2020A Gated Recurrent Unit Approach to Bitcoin Price Prediction230 cited
  • 2018Improved EEMD-based crude oil price forecasting using LSTM networks

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220 cited
  • 2018Volatility and return jumps in bitcoin214 cited
  • n.d.Multiscale characteristics of the emerging global cryptocurrency market211 cited
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