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Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition
15 references·0 citing·44 second hop
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition (2023)Multi-step-ahead stock price prediction u…Novel optimization approach for stock price forecasting using multi-layered sequential LSTM (2022)Novel optimization approach f…Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition (2022)Multi-step-ahead stock price …Investigating the informativeness of technical indicators and news sentiment in financial market price prediction (2022)Investigating the informative…Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model (2022)Asian stock markets closing i…A stock price prediction method based on meta-learning and variational mode decomposition (2022)A stock price prediction meth…Forecasting stock index price using the CEEMDAN-LSTM model (2021)Forecasting stock index price…Carbon price forecasting system based on error correction and divide-conquer strategies (2021)Carbon price forecasting syst…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …A new crude oil price forecasting model based on variational mode decomposition (2020)A new crude oil price forecas…A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)A hybrid stock price index fo…Stock price forecasting model based on modified convolution neural network and financial time series analysis (2019)Stock price forecasting model…Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Non-ferrous metals price fore…EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction (2018)EMD2FNN: A strategy combining…Forecasting at Scale (2017)Forecasting at ScaleA variational mode decompoisition approach for analysis and forecasting of economic and financial time series (2016)A variational mode decompoisi…A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)A new financial data forecasting model using genetic algorithm and long short-term memory network (2020)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices (2019)Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Forecasting Aggregate Stock Market Volatility Using Financial and Macroeconomic Predictors: Which Models Forecast Best, When and Why? 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References

  • 2017Forecasting at Scale2,900 cited
  • 2020Stock price prediction using deep learning and frequency decomposition373 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2016A variational mode decompoisition approach for analysis and forecasting of economic and financial time series214 cited
  • 2020A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network191 cited
  • 2021Forecasting stock index price using the CEEMDAN-LSTM model189 cited
  • 2022Novel optimization approach for stock price forecasting using multi-layered sequential LSTM183 cited
  • 2020A new crude oil price forecasting model based on variational mode decomposition172 cited
  • 2018EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction156 cited
  • 2019Stock price forecasting model based on modified convolution neural network and financial time series analysis120 cited
  • 2022Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition117 cited
  • 2021Carbon price forecasting system based on error correction and divide-conquer strategies113 cited
  • 2022A stock price prediction method based on meta-learning and variational mode decomposition109 cited

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2022
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
89 cited
  • 2022Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model84 cited
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