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DLCP2F: a DL-based cryptocurrency price prediction framework
16 references·0 citing·44 second hop
DLCP2F: a DL-based cryptocurrency price prediction framework (2022)DLCP2F: a DL-based cryptocurrency price p…Cryptocurrency trading: a comprehensive survey (2022)Cryptocurrency trading: a com…A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data (2022)A Deep Learning-Based Cryptoc…Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations (2021)Deep Learning-Based Cryptocur…Ascertaining price formation in cryptocurrency markets with machine learning (2021)Ascertaining price formation …A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms (2021)A Novel Cryptocurrency Price …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…Forecasting Bitcoin closing price series using linear regression and neural networks models (2020)Forecasting Bitcoin closing p…The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)The Performance of LSTM and B…DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)DeepAR: Probabilistic forecas…A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets (2019)A Survey on Efficiency and Pr…Trading and Arbitrage in Cryptocurrency Markets (2018)Trading and Arbitrage in Cryp…Forecasting principles and practice (2018)Forecasting principles and pr…An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An Empirical Study on Modelin…A Statistical Analysis of Cryptocurrencies (2017)A Statistical Analysis of Cry…Quantifying the Relationship Between Financial News and the Stock Market (2013)Quantifying the Relationship …Time Series Analysis Forecasting and Control. 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(2022)Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases (2022)On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)Dynamic Conditional Correlation (2002)On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms (2011)Measuring Economic Policy Uncertainty* (2016)Security and Privacy in Metaverse: A Comprehensive Survey (2023)Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets (2023)FinTech: a literature review of emerging financial technologies and applications (2025)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)
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  • 2018Forecasting principles and practice4,405 cited
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Forecasting Bitcoin closing price series using linear regression and neural networks models
94 cited
  • 2021Ascertaining price formation in cryptocurrency markets with machine learning88 cited
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