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Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
7 references·10 citing·45 second hop
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series (2020)Ensemble Deep Learning Models for Forecas…A CNN–LSTM model for gold price time-series forecasting (2020)A CNN–LSTM model for gold pri…A Comparative Study of Bitcoin Price Prediction Using Deep Learning (2019)A Comparative Study of Bitcoi…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Bitcoin technical trading with artificial neural network (2018)Bitcoin technical trading wit…Introduction to Time Series and Forecasting (2016)Introduction to Time Series a…Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Neural Network Time Series: Forecasting of Financial Markets (1994)Neural Network Time Series: F…Deep learning for financial forecasting: A review of recent trends (2025)Deep learning for financial f…Predict customer churn using combination deep learning networks model (2023)Predict customer churn using …Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models (2023)Forecasting Stock Market Indi…Deep reinforcement learning for financial trading using multi-modal features (2023)Deep reinforcement learning f…A survey of deep learning applications in cryptocurrency (2023)A survey of deep learning app…Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness (2022)Deep Learning Algorithm to Pr…A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin (2022)A Stacking Ensemble Deep Lear…Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques (2021)Time-Series Prediction of Cry…Ether Price Prediction Using Advanced Deep Learning Models (2021)Ether Price Prediction Using …Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network (2020)Enhancing Bitcoin Price Fluct…Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Financial time series forecasting model based on CEEMDAN and LSTM (2018)The Behavior of Stock-Market Prices (1965)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)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 Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility? (2022)Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)The Proof and Measurement of Association between Two Things (1904)Time Series Analysis: Forecasting and Control (1977)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network (2020)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies (2022)Is gold a safe haven? International evidence (2010)A CNN-BiLSTM-AM method for stock price prediction (2020)Stock price prediction using deep learning and frequency decomposition (2020)Cryptocurrency trading: a comprehensive survey (2022)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin (2023)Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared (2024)Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis (2024)Risk, Return, and Equilibrium: Empirical Tests (1973)Deep learning with long short-term memory networks for financial market predictions (2017)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Stock market prediction with time series data and news headlines: a stacking ensemble approach (2023)A deep fusion model for stock market prediction with news headlines and time series data (2024)Artificial intelligence techniques in financial trading: A systematic literature review (2024)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Combining neural network model with seasonal time series ARIMA model (2002)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)A review on singular spectrum analysis for economic and financial time series (2010)SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain (2020)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)
this work references cited by second hop

References

  • 2002Introduction to Time Series and Forecasting3,913 cited
  • 2016Introduction to Time Series and Forecasting1,190 cited
  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 1994Neural Network Time Series: Forecasting of Financial Markets441 cited
  • 2019A Comparative Study of Bitcoin Price Prediction Using Deep Learning213 cited
  • 2018Bitcoin technical trading with artificial neural network165 cited

Cited by

  • 2023Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models99 cited
  • 2022A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin86 cited
  • 2022Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness71 cited
  • 2025Deep learning for financial forecasting: A review of recent trends61 cited
  • 2021Time-Series Prediction of Cryptocurrency Market using Machine Learning Techniques57 cited
  • 2023A survey of deep learning applications in cryptocurrency53 cited
  • 2023Deep reinforcement learning for financial trading using multi-modal features46 cited

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  • 2021Ether Price Prediction Using Advanced Deep Learning Models44 cited
  • 2020Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network41 cited
  • 2023Predict customer churn using combination deep learning networks model24 cited